Skip to main content
Microbiology and Molecular Biology Reviews : MMBR logoLink to Microbiology and Molecular Biology Reviews : MMBR
. 2025 Sep 25;89(4):e00007-25. doi: 10.1128/mmbr.00007-25

Prions and protein aggregates as pathogens, self-propagating structures, biomarkers, and therapeutic targets

Byron Caughey 1,, Efrosini Artikis 1, Daniel Shoup 1, Christina D Orrú 1, Parvez Alam 1, Sabiha Parveen 1, Samantha King 1, Jakub Soukup 1, Andrew G Hughson 1, Suzette A Priola 1
Editor: Corrella S Detweiler2
PMCID: PMC12713397  PMID: 40996260

SUMMARY

Many mammalian diseases appear to be caused primarily by the abnormal accumulation of self-propagating assemblies of specific host proteins such as Aβ and tau in Alzheimer’s disease, α-synuclein (aSyn) in Parkinson’s disease, and prion protein (PrP) in classical prion diseases. Most proteinopathies involve a prion-like spreading of the aggregates from localized sites of initiation within the host and, sometimes, between individuals. Often, the pathological assemblies take the form of amyloid fibrils, the cores of many of which have been solved by cryo-electron microscopy, revealing disease-specific, strain-like conformers of the given protein. Amyloids grow via seeded polymerization, a mechanism that is being widely exploited to develop ultrasensitive and specific amplification assays for pathological seeds as biomarkers. Such assays can aid fundamental research, diagnostics, prognostics, and clinical trials for multiple proteinopathies that have been challenging to diagnose and treat. Here, we review the structural biology, transmissibilities, spreading mechanisms, and detection of proteopathic aggregates as well as therapeutic approaches to limiting their accumulation.

KEYWORDS: prions, proteinopathies, structural biology, clinical therapeutics, Alzheimer's disease, Parkinson's disease, tauopathies, synucleinopathies, diagnostics, transmissibilities

INTRODUCTION

To function properly, most proteins must fold into discrete three-dimensional structures. However, during this process, or after the native fold is achieved, misfolding can expose sticky surfaces that may promote abnormal aggregation (Fig. 1). Initially, small oligomers may form that progress to either non-amyloid or amyloid fibrillar deposits inside or outside of cells, but such events are poorly understood in vivo. Along the path of aggregation, major changes in the conformation of the protein constituents may occur. The assembly of amyloid fibrils (or filaments), which have highly ordered β-sheet cores, often involves the formation of intermolecular β-sheets from regions of proteins that are intrinsically disordered in their native state (1, 2). However, sometimes even predominantly α-helical domains of proteins (e.g., the normal cellular prion protein [PrPC] (3) and serum amyloid A (4)) refold into β-sheets (512). Amyloid formation by ~70 distinct proteins characterizes the pathologies of ≥50 disorders in humans including Alzheimer’s disease (AD) and Parkinson’s disease (PD) (1, 2, 12, 13). Usually, protein quality control (proteostatic) mechanisms limit the accumulation of such aggregates, but occasionally such controls can be progressively overwhelmed—sometimes with catastrophic consequences.

Fig 1.

Diagram illustrates prion protein misfolding where native PrP undergoes intermediates to form PrP^Sc fibrils, which grow and spread. Mouse brain images show amyloid deposits increasing from 40 to 320 dpi, leading to death.

Folding, misfolding, and aggregation of proteins into amyloid fibrils using mouse prion protein (PrP) as an example of an infectious amyloid. (A) Folding pathway of a nascent PrP polypeptide en route to the final native PrPC structure determined by nuclear magnetic resonance (NMR) spectroscopy (3). Faded structures are hypothetical and have not been empirically determined. The cartoons depict only the PrP residues known to form the ordered fibril core of the mouse aRML PrPSc prion as determined by cryo-EM (shown, for example, as an octameric unit on the bottom of A) (8, 1416). Further growth of the PrPSc oligomer generates elongated fibrils. The immediate precursors that add onto the PrPSc templating ends remain unclear (question marks) but might be amorphous or partly folded oligomeric intermediates or monomers that must ultimately undergo complete refolding relative to PrPC to assume the amyloid conformation (8). Growth rates (red arrows) may be different at the opposite ends (17). (B) Stereotactic microinjection of RML prions into the brains of transgenic mice expressing glycophosphatidylinositol (GPI)-free PrPC has shown the spreading of PrPSc over the ensuing months until the terminal stage at 320 days post-inoculation (dpi) (coronal brain sections). Adapted from reference 18, published under a Creative Commons Attribution (CC BY) licenses. Analogous spreading has been documented in prion-infected wild-type mice (19).

Prion protein (PrP)-based prion diseases represent the first, and particularly well documented, examples of how even femtograms of an infectious misfolded protein assembly, such as certain PrP amyloid fibrils, can propagate in the host to cause fatal neurodegenerative disease (Fig. 1). Early in the last century, it became apparent that a disease called scrapie was transmissible among sheep (20, 21). Transmissions of scrapie into rodents in the 1960s (22, 23) emphasized the existence of distinct strains and a host gene controlling scrapie incubation time (24) (later shown to be the Prnp gene for PrP by Manson and colleagues [25]). Also in the 1960s, the human prion diseases Creutzfeldt-Jakob disease (CJD) and kuru were initially transmitted to non-human primates by Gibbs, Gajdusek, and colleagues (26, 27). Due to these agents’ unusual resistance to inactivation by treatments harmful to nucleic acids, they were presciently proposed in 1967 to be a toxic, self-propagating form of a host protein that lacked a nucleic acid genome by J.S. Griffith (28). Consistent with this possibility were many earlier and subsequent accounts of abnormal amyloid fibril/plaque deposits in brain tissue from humans with kuru, CJD, and Gerstmann-Straussler-Scheinker (GSS) and animals with scrapie (reviewed in reference 29), including a report of scrapie strain-dependent differences in fibril morphology (30). In 1982, Stanley Prusiner coined the term prion to denote “a small proteinaceous infectious particle which is resistant to inactivation by most procedures that modify nucleic acids” (31) and isolated the main protein in infectious preparations (including fibrils) (3234). This protein has since generically been called PrPSc, for PrP scrapie, in transmissible prion diseases. The Weissmann, Prusiner, Chesebro, and Robakis labs soon cloned the first Prnp genes from rodents (3437), which Weissmann later proved to be essential for prion infections (38). Decades of ensuing research eventually proved that PrPSc could cause PrPC to convert to PrPSc (39, 40) in a strain-dependent manner (41) and is primarily an infectious abnormal conformer and aggregation state of host-encoded PrP molecules (58, 3537, 4244). These studies confirmed and elaborated on nucleated polymerization models proposed by Griffith (28), Gajdusek (45), and Lansbury (46, 47) for infectious self-propagating states of host proteins as well as Bessen and Marsh’s PrPSc conformation-based explanation of prion strains (48). However, PrPSc is usually also associated with poorly defined (in vivo) peripheral ligands/cofactors/components that can influence prion infectivity and strain characteristics (reviewed in reference 49).

From a biochemical perspective, at least, other protein aggregation diseases, that is, proteinopathies, also have the potential to be transmissible between humans as prions, but definitive epidemiological evidence of such events remains scarce (50, 51). Nonetheless, multiple reports have provided evidence consistent with iatrogenic transmission of AD (52) and cerebral amyloid angiopathy (CAA), which involves the deposition of the amyloid β (Aβ) peptide derived from amyloid precursor protein (APP) (e.g. [5356]). Furthermore, experimental injections of tissue from patients with other types of proteinopathies into susceptible animal models have suggested risks of transmission of those disorders between humans, if only by invasive medical procedures such as surgeries, transplants, or transfusions (51, 57).

Even without transmission between individuals, many human proteinopathies feature prominent, often neuroanatomical, prion-like spreading of aggregates and the associated pathological lesions over the course of disease. For example, the Braak stages of AD describe the sequential spreading of microtubule-associated protein tau-containing (58) neurofibrillary tangle pathology within the brain (59). In PD, Braak staging is based on the distribution of deposits of α-synuclein (aSyn) in Lewy bodies (60). A current debate in the synucleinopathy field is the extent to which aSyn aggregation might begin in the brain and migrate to the periphery to cause symptoms such as gut and cardiac dysfunction, or vice versa (i.e., the “brain first” versus “body first” hypotheses, respectively) (e.g. [6062]). Amyotrophic lateral sclerosis (ALS) is also a progressive disease with spreading motor, and sometimes sensory, neuron degeneration involving abnormal deposition of proteins such as superoxide dismutase 1 (SOD1), TAR DNA-binding protein 43 (TDP-43), and fused in sarcoma (FUS) (6365). With these and multiple other proteinopathies, important current topics include (i) the origins of aggregation cascades in individuals; (ii) prion and prion-like aggregate structures and their correlations with transmission and strain properties; (iii) propagation and fragmentation mechanisms; (iv) clearance mechanisms; (v) risks of transmission; (vi) the detection of pathological seeds as biomarkers; and (vii) the inhibition of aggregation for therapeutic purposes. Here, we provide updated overviews and perspectives on these topics. We have used PrP prions as more detailed points of reference given their well-documented infectivity and the fundamental precedents in protein aggregation-based pathogenesis established by the long-term availability of fully disease-recapitulating animal models (66) and revealing in vitro models (39, 67, 68).

ORIGINS OF PATHOLOGICAL PROTEIN AGGREGATION AND PROPAGATION CASCADES

Many proteinopathies involving the aggregation of a specific protein or proteins have both sporadic (i.e., irregular, of unknown cause) and genetic types, such as the familial forms of Alzheimer’s or Parkinson’s diseases. With PrP prion diseases, cases have also been shown convincingly to be acquired due to infections with exogenous aggregates (69, 70). In humans, acquired prion diseases include: kuru from ritual cannibalism (71, 72); iatrogenic CJD from the use of CJD-contaminated growth hormone, dura mater, corneas, surgical instruments, electrodes, or transfusions (73); and variant CJD from exposures to bovine spongiform encephalopathy (BSE) contaminated beef products (74) or human blood (75). Acquired cases account for <1% of human prion disease cases (73, 76) but can be much more prominent in cervids (the ongoing chronic wasting disease [CWD] epidemic), cattle (the former bovine spongiform encephalopathy [BSE] epidemic), and sheep (recurring scrapie). Both sheep scrapie (77) and CWD are known to spread via the environment (78), with CWD being particularly difficult to control. As such, CWD is spreading widely among deer, elk, and moose in many parts of the United States and Canada and is also affecting cervids in Korea and Northern Europe. The North American and Korean CWD strains appear to be indistinguishable from each other, but distinct from European strains (79). The zoonotic potential of BSE has been demonstrated by the surge of >200 human variant CJD cases after the onset of the BSE epidemic in the 1990s. However, to date, no cases of human prion disease are known to have been caused by CWD or scrapie prions (80) (https://www.cidrap.umn.edu/sites/default/files/CWD%20Report%202025_0.pdf). Animal and in vitro models of human susceptibility have also usually indicated high barriers to CWD transmission (8186). However, adaptation of CWD to pathogenicity in human PrPC-overexpressing transgenic mice can occur with serial passages (87) or prior in vitro amplification, and possible strain alteration, by protein misfolding cyclic amplification (PMCA) (88). Nonetheless, we have difficulty conceiving of how any of these experimental CWD strain adaptation methods might represent naturally occurring processes.

Inherited proteinopathies can often be linked to mutations in specific genes that often, but not always, encode the aggregating protein itself (1). In this situation, the mutations likely affect the biosynthesis, conformational stability, ligand interactions, and/or clearance of the offending protein in a way that potentiates aggregation.

The vast majority of human proteinopathy cases are classified as sporadic. In these cases, it appears that the aggregation process begins spontaneously and stochastically but is likely enhanced by physiological or inflammatory stresses (e.g., reference 89), deficiencies in the patient’s protein quality control (proteostatic) systems, and/or transcription errors in amyloidogenic proteins (13). The age dependence of most proteinopathies, together with the accumulation of a spectrum of detergent-insoluble proteins in tissues later in life (90, 91), suggests that proteostatic mechanisms can eventually wane and/or become overwhelmed by the accumulation of aggregated and abnormally cross-linked proteins. Chronic inflammation and overexpression of amyloid precursors in the blood, such as immunoglobulin light chain, transthyretin, or serum amyloid A, are known to cause multiple systemic amyloidoses (12). Inflammation may also promote the development or spreading of proteinopathies by enhancing vascular leakage, molecular crowding, and trafficking.

Evidence also suggests that some of the proteins that are centrally involved in various diseases, such as aSyn, tau, TDP-43 (92), FUS (93), p53 family tumor suppressors (94), and PrP (95102) can form condensates or liquid-liquid phase separations, and perhaps other agglomerations as part of physiological responses to traumatic brain injury (103105), infection (106), and stimuli or stresses within cells and tissues (95, 98, 106111). Even if such agglomerations do not usually involve amyloid fibril formation, the protein concentration effects may enhance the likelihood of spontaneous fibril nucleation (94, 112), which is usually exponentially dependent on monomer concentration (47). On the other hand, recent evidence suggests that condensate formation can also suppress amyloid fibril formation (113). Perhaps most nascent aggregates are cleared by proteostatic mechanisms (see “Clearance mechanisms,” below) as the damage or stresses are resolved. Such a phenomenon has been seen with PrP aggregates or condensates formed along needle tracks in brain tissue of mice inoculated with normal (uninfected) brain homogenate (97, 99) which are largely resolved by 2 weeks after formation (99). However, age-dependent deficiencies or other perturbations of protein homeostasis in vulnerable anatomical sites might allow some nascent aggregates to propagate faster than they are cleared. Such perturbations are thought to include environmental factors, infections, inflammatory events, traumas, and intercurrent co-pathologies such as diabetes, due in part to their being implicated as risk factors for the development of dementia, PD, and other neurodegenerative disorders (104, 114121).

Interestingly, tau can form fibrils, or at least seeding-competent assemblies, in the context of normal physiology or stress responses (122). Again, such seeds may normally be cleared but occasionally escape routine proteostatic mechanisms. If such controls are overwhelmed in an individual cell or site to allow accumulation of self-propagating aggregates, then transfer to adjacent cells might initiate an overwhelming prion-like spreading of the aggregates and any associated pathology within and between tissues. Alternatively, or additionally, more generalized deficiencies in clearance mechanisms in a patient may allow a multifocal initiation of insufficiently controlled cascades of aggregate propagation. However, whether the initial seeds are formed normally or due to stochastic insufficiencies of protein homeostasis, the neuroanatomical spreading features of AD, Lewy body disorders, ALS, prion diseases, and others suggest that certain tissue sites are more vulnerable than others to the initial prion-like propagation of specific proteins. We speculate that relative vulnerabilities might be influenced by the availability of polyionic cofactors such as sulfated glycans and nucleic acids that are known to associate with many types of protein aggregates, notably amyloid fibrils, and either positively or negatively influence their propagation depending upon circumstances (49, 123126).

STRUCTURAL BIOLOGY OF PRION AND PRION-LIKE FIBRILS

The most fundamental issue in proteinopathy structural biology is how the structures of pathological amyloid fibrils (or perhaps other types of aggregates) propagate and interact with their in vivo environments in conformation-dependent ways to cause characteristic disease phenotypes. Recently determined high-resolution 3D structures of amyloid fibrils using cryo-EM have shown that distinct proteinopathies involve the accumulation of particular fibrillar conformers of specific proteins (127, 128). Solid-state (ss) NMR analyses have also revealed structural features and dynamics of amyloid fibrils (129, 130). However, such ssNMR studies are often complicated by the need to amplify brain-derived seeds in vitro to introduce the necessary isotopic labels, a process that frequently allows conformational deviations from the original pathological seeds (examples below). In the following subsections, we will emphasize the structures of tissue-derived (ex vivo) fibrils.

Amyloid-β (Aβ)

AD is defined in part by the accumulation of amyloid plaques composed mainly of a 42-residue form of Aβ (Aβ42) (131). In the terminal phase, many AD patients also have CAA amyloid deposits composed primarily of a 40-residue peptide of Aβ (Aβ40) in the leptomeninges and blood vessel walls (132). CAA can also occur independently of AD (133), and, while most cases are sporadic, some can be familial (134, 135). A recent cryo-EM study reported two distinct polymorphs of Aβ42 fibrils from AD brains, with Type I found mainly in sporadic AD and Type II in familial AD and other conditions (136). The Arctic APP mutation, encoding an E693G substitution, leads to the accumulation of Aβ42 fibrils with substructures like those of AD Types I and II fibrils, but with subtle differences (137). Some missense mutations in the presenilin gene can lead to inherited AD with the accumulation of “cotton wool” plaques of Aβ comprised predominantly of Type I Aβ fibrils, but with some novel interprotofilament arrangements (138). Both cryo-EM analyses of brain-derived Aβ fibrils and ssNMR studies of in vitro-amplified fibrils have further highlighted the diversity of possible Aβ fibril structures as well as a tendency of Aβ fibril preparations propagated in vitro to diverge conformationally from the ex vivo fibrils that were used to seed them (139, 140). Such divergence has been suggested to be due to the lack of cofactors required to maintain amplification of the in vivo fold and/or to spontaneous, untemplated formation of seeds that are able to propagate faster in vitro than the brain-derived fold (140).

Tau

Tauopathies are typically categorized by the inclusion of specific tau isoforms in their fibrils/filaments (Fig. 2A). These isoforms are differentially spliced from the MAPT gene and contain either three or four microtubule binding (MTB) repeats. Pick’s disease (PiD) has preferential incorporation of the three tau isoforms with only three MTB repeats (3R), whereas diseases such as progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and argyrophilic grain disease (AGD) incorporate the three tau isoforms with four MTB repeats (4R). Filaments in diseases such as AD and chronic traumatic encephalopathy (CTE) contain all six tau isoforms and have a mixture of both 3R and 4R isoforms. The solution of many ex vivo tau fibril structures has supported a structure-based classification of the aforementioned tauopathies and subtypes thereof (2, 128, 141). Interestingly, biochemical evidence suggests that rapidly progressing AD cases appear to have tau aggregates that differ structurally from those of more slowly progressing sporadic AD cases (142). AD-like tau fibrils also form in the brains of patients with certain genetic prion diseases: PrP cerebral amyloid angiopathy (PrP-CAA) due to mutations leading to early termination of PrP translation at Q160; and GSS due to an F198S missense mutation (143). In addition, cryo-EM analyses showed the formation of >70 conformational intermediates over time in vitro as synthetic tau monomers assemble spontaneously into AD-like or CTE-like fibrils under different salt conditions (144). However, as with Aβ and multiple other amyloidogenic proteins, it can be difficult to accurately amplify brain-derived tau seed conformations in vitro.

Fig 2.

Structures of tau, prion, and α-synuclein fibrils are compared. Tau fibrils from AD, CTE, PSP, and CBD show disease-specific folds with some shared motifs. Prion fibrils vary between strains and species. α-synuclein fibrils vary by disorder.

Representative cryo-EM-based models of brain-derived tau, prion, and aSyn fibrils (cross-sectional views of the ordered fibril or protofilament cores). (A) Structures of AD (148) and CTE (149) fibrils in structure class R3:R4:C with color-coded MTB repeats: repeat 2 (R2, yellow); repeat 3 (R3, blue); repeat 4 (R4, green); C-terminal (C, coral). Structures of PSP (141) and CBD (150) fibrils in structure class R2:R3:R4:C displaying a three-layer or four-layer core, respectively. 3R/4R structural core similarities are displayed in an overlay of tau fibrils from AD (148), CTE (149), DS (Down syndrome) (151), GSS (143), and SSPE (subacute sclerosing panencephalitis) (152). Three-layer 4R structural core similarities displayed in an overlay of PSP (progressive supranuclear palsy), GGT-1 (globular glial tauopathy), and LNT (limbic-predominant neuronal inclusion body 4R tauopathy) (141). Four-layer 4R structural core similarities are displayed in an overlay of CBD (150) and AGD (argyrophilic grain disease) (141). (B) Representative prion structures of strains in hamster (263K) (8), mouse (a22L) (15), deer (CWD) (153), and human (GSS types 1 and 2) (154). Color coding represents major structural motifs N-arch (teal), middle-arch (C-terminal flank, orange; its N-terminal flank is shared with the N-arch), and disulfide arch (cyan). The inset includes an overlay of all rodent strains solved to date (ME7 [155], aRML [14], RML [16], a22L [15], 263K [8]), as well as a CWD cross-sectional monomer for comparison, depicting the twist of the N-lobe relative to the rodent-adapted scrapie prions. (C) single chains of aSyn fibrils from PDD (Parkinson’s disease dementia), PD (Parkinson’s disease), and DLB (dementia with Lewy bodies) (156), MSA type-1 (multiple system atrophy) (145), and JOS (juvenile-onset synucleinopathy) (146). Corresponding sequences are shown in purple. The images in this figure were prepared using PyMol v. 2.6.0 and Protein Data Bank structure ID numbers for ex vivo fibrils of tau (AD, 5O3L; CTE, 6NWP; DS, 9BXI; GSS (tau), 7MKH; SSPE, 8CAQ; PSP, 7P65; CBD, 6VHA; GGT-1, 7P66; LNT, 7P6A; AGD, 7P6D); aSyn (PDD, PD, DLB, 8A9L; MSA-I, 6XYO; JOS, 8BQV); and prions (263K, 7LNA; aRML, 7TD6; RML, 7QIG; ME7, 8A00; a22L, 8EFU; CWD, 9DMY; GSS-I, 7UMQ; GSS-II, 7UN5).

α-Synuclein (aSyn)

High-resolution structures of brain-derived aSyn fibrils from humans with Lewy body pathology (e.g., Parkinson’s disease [PD], Parkinson’s disease dementia [PDD], or dementia with Lewy bodies [DLB]) have a protofilament core conformation called the Lewy fold (153) (Fig. 2C). The Lewy fold is distinct from that of fibrils from brains of multiple system atrophy (MSA), frontotemporal lobar degeneration-synuclein (FTLD-Synuclein), and juvenile onset synucleinopathy patients (145147). As with other types of in vitro-amplified fibrils, many distinct conformers of synthetic aSyn fibrils have been shown to form under various conditions, but full recapitulation of the Lewy or MSA folds in vitro has been difficult (e.g. [129, 147]).

TDP-43 and annexin A11

Cryo-EM has also established the structures of homomeric TDP-43 fibrils that accumulate in the brains of patients with ALS with FTLD type B and FTLD-TDP types A (64, 157). In contrast, patients with FTLD-TDP type C have heteromeric pathological fibrils composed of a co-assembly of two different proteins, that is, TDP-43 and annexin A11 (ANXA11) (158). Unlike the other types of FTLD-TDP, type C is not associated with any known pathogenic genetic variants. The deposition of this fibril suggests a key role for the aggregation of wild-type ANXA11, as well as TDP-43, in FTLD-TDP type C pathogenesis. Attempts to form TDP-43 fibrils from recombinant monomers have yielded structures distinct from ex vivo fibrils (159).

Amyloid A (AA)

The structure of serum AA-derived ex vivo amyloids that accumulate in systemic AA amyloidosis of humans, mice, and cats has also been solved (912). Striking differences between the fibrils from these different species were observed, as well as major deviations from fibrils synthesized in vitro. The native serum AA tetramer is largely α-helical (4), so the conversion to cross-β amyloid fibrils involves dramatic refolding, at least in the N-terminal domain that forms the fibril core (12).

Superoxide dismutase 1 (SOD1)

To our knowledge, no detailed structures of tissue-derived SOD1 fibrils have yet been solved. However, recent reports of cryo-EM structures of in vitro-generated wild type and ALS-causing mutants of human SOD1 have revealed tendencies of these sequences to form distinct fibrillar conformations (160, 161).

PrP prions (fully infectious)

The overt and readily testable infectivity of PrP prions makes them particularly revealing models for detailed studies of structure-activity relationships of self-propagating, pathological aggregates. Building on work with synthetic recombinant PrP amyloid fibrils with no known infectivity (e.g., references 162168), we and Manka et al. have reported the structures of several conformers (strains) of highly infectious, brain-derived prions (8, 1416, 153, 155) (Fig. 2B). These isolates have been estimated to contain ~109 lethal doses of prion infectivity per mg of protein if injected into the brains of susceptible hosts. Like most other pathological protein aggregates mentioned above, these infectious prions take the form of amyloid fibrils with parallel in-register intermolecular β-sheet (PIRIBS) cores. However, unlike most of the others, the ex vivo prion fibrils have a single filament rather than two or more closely aligned protofilaments. This difference may be dictated by other key differences between infectious PrP prion fibrils and other ex vivo amyloid fibrils, namely, the laterally projecting N-linked glycans and, usually, glycophosphatidylinositol (GPI) membrane anchors. These bulky and structurally variable post-translational modifications, as well as other laterally associated electron densities of unknown composition (perhaps cofactors), are likely to block the formation of consistent, well-ordered lateral interfaces between protofilaments. Another striking feature of the infectious prion fibrils is an unusually long polypeptide chain of ~136 residues comprising the ordered fibril cross-section.

Analogous to the disease-dependent fibrillar polymorphisms that characterize other pathological protein fibrils, each prion strain appears to have a distinct core conformation that provides a unique template for fibril growth (Fig. 2B). This templating presumably ensures the consistent propagation of phenotypically distinct prion strains, which can be maintained passage after passage in laboratory animals. The first prion strains to be solved were experimentally adapted from scrapie-infected sheep, in some cases via goats, in the UK into hamsters (263K [8]) or mice (RML [169], aRML [14], a22L [15], or ME7 [155]). Each of these rodent-adapted strains has two major N- and C-terminal lobes comprising the fibril cross-section, and a similar combination of arch/hairpin, loop, and steric zipper motifs. However, the conformational details within those shared motifs vary substantially. Comparison of the aRML and a22L strains propagated in the same genotype of mouse revealed the purely conformational determinants of the respective phenotypes of these two strains (15). In more microbiological terms, these structures have finally demonstrated in near-atomic detail the protein conformational, rather than genetic, basis for prion strain differentiation, as had been proposed decades earlier (41, 48, 170172).

The first natural prion structure to be solved came from a CWD-infected deer expressing the most common wild-type PRNP genotype (153). CWD fibrils resembled those of the rodent-adapted prion strains in terms of the core residues forming major N- and C-terminal cross-sectional lobes. However, strikingly, these lobes are swiveled 180° relative to one another when compared to the rodent prions. Also, the N-lobe residues of the CWD structure lack the main N-lobe arches and steric zipper of the rodent structures and take a more circuitous path through the fibril cross-section. The origin(s) of North American CWD are not known, but are suspected by some to have been sheep scrapie. However, the fundamental difference in the relative orientations of the N- and C-lobes makes it unlikely that this strain of North American CWD could have been templated initially by the UK isolates of sheep scrapie that were used to derive the rodent-adapted strains described above.

GSS F198S PrP amyloid

Although, due to biosafety concerns, we know of no one being allowed to study fully infectious human-transmissible prions on a cryo-electron microscope (yet), Hallinan et al. have solved the structure of fibrils from patients with a much less infectious genetic prion disease, namely GSS linked to the F198S mutation in the PRNP gene (154). These fibrils differ strikingly from the CWD and rodent-adapted scrapie fibrils (Fig. 2B), most notably, by having a protofilament core cross-section with a much shorter PrP polypeptide fragment of 62 residues (no. 80-141) that partially overlaps only a portion of the N-lobe of the fully infectious prion cores. Moreover, the GSS F198S fibrils have 2–4 protofilaments in contrast to the single filament of the more infectious fibrils. These ordered protofilament interactions may be permitted by the lack of glycans or GPI attached directly to the core residues.

Additional structural correlates with transmissibility

Another GSS-like genetic prion disease in humans is caused by the Y145Stop mutation in the PRNP gene (173, 174). The expressed C-terminally truncated PrP leads to the assembly of amyloid fibrils and cerebrovascular amyloidosis. Although the structure of such fibrils from the brain is not known, the cryo-EM structure of synthetic fibrils of the truncated human PrP 23–144 sequence has been solved (175). This structure has four identical protofilaments, each containing a relatively small, ordered core of residues ~108–141 that is quite distinct from conformations of overlapping sequences within the ex vivo fibrils of GSS F198S patients and animals with CWD or rodent-adapted scrapie. The transmissibility of these human PrP 23–144 fibrils was not reported, but their murine counterparts are capable of causing serially transmissible prion disease in mice that overexpress murine PrP, at least when 3 µg, that is, >106-fold more than the fg-pg lethal doses of typical highly infectious natural prions, are injected into the brain (176). Finally, many synthetic recombinant PrP fibrils have been made with ordered cores limited to C-terminal residues of roughly 160–231 that have no demonstrated infectivity (e.g., references 57, 177). Therefore, so far, the most infectious of PrP prion fibrils have much larger ordered cores comprising residues ~92 to near the C-terminus (~231). Importantly, however, even small differences (e.g., ~1 kDa) in the size of monomers comprising protease-resistant PrP fibril cores have been linked to multi-log differences in infectivity (178).

In more general terms, amyloid fibrils of a given protein, such as PrP, can range from being extraordinarily infectious and pathogenic to seemingly innocuous in vivo, depending upon their respective conformations.

INTER-SPECIES TRANSMISSION BARRIER MECHANISMS

The transmission of BSE into humans demonstrated that at least one non-human PrP prion strain has zoonotic potential. A particular current concern is human and livestock exposures to CWD from cervids (80) (Fig. 3). Multiple lines of in vitro and in vivo evidence indicate that with other prion diseases, differences of as little as a single key residue between an inoculated PrPSc and the recipient’s PrPC sequences can protect against new PrPSc formation (81, 179182) and disease (e.g., references 183188). The cryo-EM structures of deer CWD and hamster 263K prions have prompted consideration of the molecular mechanisms of their barriers to transmission to humans and mice, respectively (8, 153, 189191). In each case, as shown in transgenic animals (184, 188) and cell cultures (185), particular highly localized residue differences are primarily responsible for the lack of transmission. Subsequent molecular modeling suggested that conformational conversion of those heterologous PrPC molecules onto the infecting prion template would cause major steric clashes or the burying of uncompensated side chain charges into a tightly packed structure to likely slow or stop conversion (8, 153). Increasing insights into prion structures and conversion reactions should help to reveal mechanisms of transmission barriers and why protections against prion disease can be afforded by heterozygosity (such as M/V at residue 129 in humans) in the host’s PRNP gene (192).

Fig 3.

CWD cycle shows uptake, neuroinvasion, and shedding via secretions and carcasses with possible spread to other species. Map marks CWD in free-ranging and captive populations across North America.

CWD epidemic in North American cervids (deer, elk, moose). (A) Transmission cycle of CWD with poorly understood potential for natural transmission to humans and livestock. CWD is difficult to control and appears to be the most causally contagious of the proteinopathies via direct contact and the environment, where CWD prions can remain infectious for years. (B) Distribution of CWD in North America. Reproduced from https://www.usgs.gov/media/images/distribution-chronic-wasting-disease-north-america-0 (public domain).

Concerns have also been raised about the zoonotic potential of amyloid A (AA) amyloid, for example, in duck or goose foie gras, to initiate AA amyloidosis in humans (12). AA amyloidosis has been accelerated in transgenic mouse models by inoculation of AA amyloids from a variety of host species, including humans. The sequences of the amyloid precursor (serum amyloid A) in humans, ducks, and other species have regions of both similarity and divergence, and it remains unclear which, if any, of these sequence differences may be protective against inter-species transmissions.

GROWTH, FRAGMENTATION, AND SPREADING MECHANISMS

Pathological amyloids grow primarily by seeded polymerization (46). The fibril ends provide conformational templates that bind monomers, or perhaps small oligomeric intermediates, and induce their refolding into the structure of the template as they are incorporated into the growing fibril. The detailed mechanisms by which this process occurs for various types of fibrils are usually poorly understood. However, a generic feature of PIRIBS amyloid fibrils or protofilaments is that the polypeptide backbone of the terminal monomer on each end exposes interdigitated hydrogen bond donors (R-NH groups) and acceptors (carbonyls) that are poised to attach in a zipper-like fashion with the complementary groups on the backbone of an incoming monomer (193, 194). Initial contacts between the template and monomer would also likely be aided by interactions between exposed hydrophobic residue side chains that, as with all side chains, splay out to either side of the backbone perpendicular to the fibril axis on the template. Alternatively, or additionally, polyionic cofactors that can promote fibrilization and align with stacks of charged side chains along the fibril axis might help to bring monomers into proper alignment with a template to promote parallel-in-register backbone-backbone interactions.

Not only does prion-like propagation of aggregates require elongation, but also fragmentation (195, 196), to increase aggregate number and decrease particle size to enhance mobility within and between cells and tissues (Fig. 4). The dimensions of many pathological protein deposits, at least in their mature forms, often rival, or exceed, the dimensions of neuronal or glial cell somas and their projections, likely impeding movement through tissues, especially through narrow axons, dendrites, small (30–150 nm) extracellular vesicles, and intercellular spaces. Also, the spreading of particles bigger than ≥500 kDa (e.g., a PrPSc ~16 mer) through interstitial fluid flow is severely limited (197, 198), apparently by the narrow spacing (30–70 nm) and matrices between cells. Indeed, scaling studies of prion replication in vivo have provided evidence that fragmentation is a key kinetic determinant (196).

Fig 4.

Fibril structures form diffuse deposits and amyloid plaques in brain tissue, highlighted in red. Relative volumes compare fibrils, deposits, plaques, and vesicles, with neurons showing transport of aggregates.

Relative sizes of prion amyloid fibrils, granular deposits, amyloid plaques, axonal transport vesicles, and extracellular vesicles. (A) A cryo-EM-based model of an aRML prion amyloid fibril core (14) containing 100 PrP monomers. (B) Sagittal brain sections (left) and expanded views of the dentate gyrus (right; corresponding to the inset boxes in the whole brain sections) stained for PrPSc (red) from either wild-type (top) or GPI-anchorless PrP transgenic (bottom) mice, showing predominant diffuse or granular staining (wild type) versus amyloid plaque (GPI-anchorless), respectively. For comparison, the closely apposed nuclei of the granular cell layer (GCL) are counterstained in blue and are much smaller than many of the diffuse/granular and amyloid PrPSc deposits. Adapted from Chesebro et al. (199), published under under a Creative Commons attribution (CC BY) license. (C) Estimated relative volumes of a 100-mer fibril, the indicated PrPSc aggregates, a midsized (*) 60 nm axonal transport vesicle, and a midsized (**) extracellular vesicle (150 nm; i.e., at the border between the “small” and “large” extracellular vesicle ranges) normalized to the 100-mer. (D) Cartoon of a neuron illustrating vesicles through which prions and other pathological aggregates are thought to often spread (200, 201). Both small and large extracellular vesicles have been shown to carry prions, at least in cell culture (201).

The need for fragmentation raises the issue of the extent to which various types of fibrillar aggregates might break spontaneously as opposed to being fragmented under the influence of other physiological processes. Computational analyses of Aβ and other peptide fibril structures have begun to describe the tensile/nanomechanical properties of cross-β fibrils as a function of morphology, conformation, sequence, and length (194, 202, 203). For example, longer Aβ(1-40) fibrils (>100 nm) appeared to be more stable than shorter fibrils (202). Our recent all-atom molecular dynamics (MD) analyses of the cryo-EM-based fibril core structures of three strains of infectious, brain-derived prion fibrils indicated a high degree of conformational stability (to a lesser extent for the terminal monomers) in oligomeric fragments as small as tetramers (only 2 nm long). No fragmentation was seen within 0.5–2 µs, even at elevated temperatures of up to 400K (127°C) in tests of 8- and 25-mers (204). Although longer MD simulation times might be needed to allow fragmentation, our data to date are consistent with a key role of physiological stressors in prion fragmentation. Importantly, these simulations have suggested so far that short oligomeric aggregates (as small as 3–4 mers) with the same PIRIBS architectures of elongated amyloid fibrils can be stable. However, although some reports have suggested that prion strains spontaneously disassemble into mostly dimeric-tetrameric units in non-disinfecting detergents based on size exclusion chromatography and light scattering analyses (31, 205), we have recently found that this is not the case, and that the previous suggestions were likely based on confounding experimental artifacts (206).

Tissue activities that might assist aggregate fragmentation include proteostasis systems, innate immune factors, acidification of autophagic vacuoles, interactions with cytoskeletal elements and motors, and the shearing forces of membrane dynamics. The latter might be especially relevant in the case of wild-type prions, which are typically anchored to membranes via an array of GPI anchors along the fibril axis (8, 16, 153, 155). Consistent with this possibility are observations of disease-associated PrP with distorted membranes, some of which appear to be abortive attempts at internalizing PrP aggregates from the cell surface (207). We have speculated (8) that fragmentation of GPI-anchored PrPSc fibrils might be facilitated by curvature-induced stresses imposed by endocytosis, membrane recycling, autophagy, multivesicular body, and exosome formation, as well as the pulsing of blood vessels. Even a small proportion of accumulated fibrils in or around affected cells that are broken into small, more mobile units might account for the spread of seeds and their associated pathology through cells and tissues.

Although molecular chaperones facilitate some clearance of PrPSc (see “Clearance mechanisms,” below, and references 208210), they also seem capable of promoting the propagation of PrPSc by fragmenting it and releasing more mobile units (211). Chaperone-promoted propagation has also been observed with fibrils of tau (212), Sup35 (213), and α-synuclein (214). The yeast prion Sup35 has exposed chaperone binding sites along its core that allow chaperones to unfold internal subunits, driving fragmentation (213). An analogous mechanism of exposed inter-core binding sites might also assist the fragmentation of mammalian prions and other disease-associated amyloids. Chaperone-promoted propagation of PrPSc is also facilitated by other cellular processes like acidification (215), which can destabilize PrPSc and help chaperones to bind and break it (210).

EMERGENCE OF DOMINANT DISEASE-ASSOCIATED CONFORMERS

The structural diversity and significance of protein aggregates may differ markedly between the early and late stages of pathogenesis. In sporadic or genetic types of proteinopathies, the initial nucleation of aggregates may occur in a stochastic and conformationally haphazard manner akin to the early formation of a multitude of fibrillar polymorphs in vitro when tau is allowed to fibrillize spontaneously (144). However, in the latter experiment, the most efficiently propagated conformers soon become dominant, with the population converging on a single majority conformer under a given set of conditions (Fig. 5A). Analogously, it seems likely that in the brain, the most fit of various initial, spontaneously formed aggregates would overtake others kinetically (216) to yield a predominant disease-associated conformer(s) through conformational templating and spreading between cells. The overall relative fitness of a conformer would likely be determined by the net effects of replication (growth + non-inactivating fragmentation), degradation, and spread within and between cells. Much of this selection might occur within a cell or localized group of cells, after which conformation-dependent templating would drive the accumulation of the selected conformer (Fig. 5A, red dots). This scenario is consistent with the identification of single predominant tau, Aβ, and aSyn fibril conformers in the terminal stages of distinct disorders as described above. However, much like the effects of different salts on the in vitro selection of AD vs CTE tau fibril conformers in vitro (144), fitness might also be modulated locally or regionally by variables such as cofactors, proteostatic responses, cell subtypes (e.g., neurons and glia in their different activation states), physiologic stresses, and copathologies, allowing for the emergence of another conformer/polymorph (green). Indeed, this scenario is consistent with reports that there can be more than one PrPSc subtype in 30%–100% of individual brains from sCJD patients (217, 218) and that these can vary with brain region (219, 220). However, a subsequent report highlighted the technical challenges associated with sCJD subtyping and concluded that “co-occurrence of PrPSc types in Creutzfeldt-Jakob disease is not the rule” (221). Nonetheless, a more recent report describes the transmission to animals of different sCJD subtypes from distinct regions of a single sCJD brain (222).

Fig 5.

Sporadic prion misfolding begins with spontaneous nucleation and selection of conformers by replication, degradation, and spread, while acquired infection bypasses this phase, propagating dominant infecting conformer.

Hypothetical conformation selection scenarios in sporadic or genetic (A) versus acquired (B) proteinopathies. (A) Model of kinetic selection of the most “fit” conformers from many possible initial, spontaneously arising nuclei/seeds in a given locus, especially in the contexts of sporadic and genetic proteinopathies. (B) In acquired proteinopathies, in which the host is exposed to a predominant conformer that was preselected in another individual of similar genotype, much (but perhaps not all) of the selection processes in the recipient would be bypassed. This scenario is amply exemplified by the consistent maintenance of distinct predominant strain-specific PrPSc conformers (8, 1416, 155) and other strain phenotypes upon serial passaging of a given prion strain in a given type of host (reviewed in references 66, 223). In humans, such infections can be initiated by peripheral injections of contaminated growth hormone or blood (represented by the needle) or other iatrogenic modes (not represented) such as the use of contaminated transplant tissue (corneas, dura mater), electrodes, etc. (73).

With acquired prion diseases, in which the predominant conformer is inoculated to template aggregation, the initial kinetic conformer/strain selection process appears to be largely bypassed, at least in hosts of the same genotype (Fig. 5B). The ability of distinct fibril polymorphs to provide growth templates provides a plausible mechanism for conformationally faithful propagation within the context of a given disease (8, 1416, 41, 128, 155, 224226). However, when biologically cloned prion strains have been transmitted into different host species or genotypes, conformational adaptations to the new host have been observed, presumably due to selective pressures applied by new host environments (223, 227230). Prion strain adaptation or “evolution” under the selective pressure of a prion inhibitor has also been observed in cell culture (231).

If other conformers accumulate to meaningful levels as well, they might represent either similarly fit (in terms of accumulation) polymorphs or secondary byproducts of the accumulation of the predominant conformer(s) without direct conformational templating. For example, the latter might occur via secondary nucleation or scaffolding of monomers of the same protein along the lateral surfaces, rather than the ends, of fibrils. We suspect, however, that such lateral scaffolding would sometimes be limited in vivo by lack of access of monomers to the ordered cores of amyloid fibrils due to the less ordered ”fuzzy coats,” which, in the case of PrP prions, include glycans and GPI anchors as noted above (8, 16, 153, 155). Moreover, direct access would likely also be blocked by the ligands mentioned above, as well as binding to membranes. Even if such putative secondary byproducts of fibrilization were more toxic than the fibrils themselves, it should follow that blocking the propagation of the primary conformer should limit new production of such byproducts if the latter were not themselves independently self-propagating.

CLEARANCE MECHANISMS

As noted above, the proteostatic degradation and/or clearance of pathological aggregates from tissues such as the brain should help to limit their accumulation. Extensive studies on PrPSc prions have shed early light on the cellular capabilities and mechanisms involved in clearing such aggregates. Surprisingly, given its extreme resistance to proteases, PrPSc can be degraded by multiple cell types, not just professional phagocytes (232). While the rate of degradation can be impacted by prion strain (233, 234), aggregate size (234), and the presence of cofactors (235, 236), the ability of a cell to degrade PrPSc does not appear to depend upon either the initial stability or the relative protease resistance of the PrPSc aggregate (237). This may be because cellular interactions with PrPSc via the proteasomal pathway (238, 239), acidic microenvironments such as those in endocytic vesicles and lysosomes (234, 236, 240242), chaperones (210, 211), or cellular proteases (240, 242, 243) are needed to modify PrPSc prior to degradation. In general, the lysosome appears to be the primary site for degradation of PrPSc (242, 244, 245), with contributions from the ubiquitin proteasome system (244, 246) and an indirect role for autophagy-mediated degradation (247). It remains unclear how cytosolic proteasomes come into contact with PrPSc, which is thought to be on the cell surface or in the lumen of vesicles. Interestingly, however, distorted abnormal PrP-containing plasma membrane invaginations seen in prion-infected brain can also be stained on the cytosolic side with anti-ubiquitin antibodies (207, 248). In any case, multiple cellular pathways may contribute to the degradation of prions (249).

Recent studies examining how PrPSc is degraded support the hypothesis that PrPSc is modified during a degradation process that occurs in two distinct phases (234). After PrPSc is taken up into cells, it first undergoes a pH-dependent conformational change (234, 236). This conformational change impacts all PrPSc aggregates regardless of size (234) and likely occurs in early endocytic compartments (234) and/or the lysosome (242, 245, 249). The change in structure makes PrPSc more susceptible to cellular protease activity, leading to the loss of some proportion of PrPSc (234, 236). The change in PrPSc conformation is followed by aggregate disassembly (233, 234), some of which may be driven by chaperones (210, 211). Smaller aggregates are disassembled more rapidly than larger aggregates, but the overall result is a decrease in the amount of larger PrPSc aggregates (234). As this cycle of cell-induced conformational change and disassembly repeats over time, there is a downward shift in PrPSc aggregate size and an increase in protease resistance (234). One outcome of PrPSc degradation is therefore the accumulation of smaller aggregates that the cell cannot break down (234). Small PrPSc aggregates have been identified as the most infectious prion particles per unit protein (250), perhaps because of a greater mobility and proportion of their surface area being PrPC conversion templates/catalysts. Indeed, chaperone-mediated disaggregation of PrPSc can generate smaller PrPSc aggregates capable of seeding new PrPSc formation (211). Thus, in trying to protect themselves by degrading PrPSc, cells may inadvertently facilitate prion propagation.

Overexpression of molecular chaperones can reduce the concentration of PrPSc in chronically infected cells (208) and animals (209); however, chaperone overexpression has never resulted in complete clearance. PrPSc fibrils may elude complete destruction due to structural features and post-translational modifications such as glycation- and dityrosine-mediated cross-linking (251, 252). This may explain why at least small percentages of PrPSc can survive even harsh conditions (e.g. [253]). As noted above, the binding of ligands (235, 254256) could also help stabilize PrPSc and block chaperone binding.

The tenuous balance between propagation and clearance of PrPSc by proteostasis has also been observed with other amyloids. In yeast, the [URE3] and [PSI+] prions are formed by fibrils of Ure2p and Sup35, respectively (257), and chaperone variations can modulate their propagation. For example, a moderate level of the disaggregase Hsp104 is needed to fragment [PSI+] fibrils to allow them to distribute effectively to daughter cells upon cell division or cytoplasmic exchange during mating to propagate the [PSI+] phenotype in culture. However, both overexpression and underexpression can cure yeast of [PSI+] prions, although some [PSI+] variants can be cured by normal levels of Hsp104, representing an example of an “anti-prion system” (213, 257, 258). Chaperones can also help propagate disease-associated fibrils of tau (212) and α-synuclein (214) through fragmentation, but overexpression of chaperones can diminish, but not eliminate, both types of fibril (259, 260). As with PrPSc, total clearance of other amyloids may be compromised by the cross-linking, specifically mediated by glycation in α-synuclein (251) and dityrosines in tau (261).

Tau and α-synuclein fibrils can be digested by cytoplasmic proteases (262, 263), but are predominantly degraded in lysosomes (263265), similarly to PrPSc (266). However, cells’ attempts to deal with such fibrils in lysosomes appear to have severe impacts on their fitness. Notably, PrPSc (267), tau (268), and/or aSyn (269) fibrils can induce lysosomal dysfunction, for example, leakage (270, 271), and their degradation products can affect mitochondria (272, 273). Lysosomal leakage may allow both tau and aSyn fibrils that have been internalized by endocytosis to escape into, and propagate, within the cytoplasm. Collectively, these observations suggest that the overall effects of manipulations of proteostasis for therapeutic purposes may be difficult to predict.

DETECTING MISFOLDED PROTEINS AS BIOMARKERS AND BIOHAZARDS

Proteinopathies can be difficult to clearly diagnose, especially early, when clinical indices tend to be variable and shared among multiple disorders. The self-propagating (seeding) activities of pathological aggregates have been exploited to develop highly sensitive and specific seed amplification assays (SAAs) for proteopathic seeds as etiological biomarkers (274279). SAAs such as protein misfolding cyclic amplification (PMCA) (67) and real-time quaking-induced conversion (RT-QuIC) (280, 281) were first developed for PrP prion diseases, but are now being rapidly extended to other types of proteinopathies. As originally defined, PMCA assays amplified prions in sonicated reactions with brain extracts as a source of the normal PrPC substrate (67), which were then detected by immunoblotting. RT-QuIC assays arose from efforts to develop more practical tests in multi-well plates using recombinant PrPC substrates, shaking as the source of agitation, and amyloid-dependent thioflavin-T fluorescence as a “real-time” readout (Fig. 6) (280284). Recent SAA innovations that should help to broaden and/or simplify applications to proteinopathies include the following: improved quantitation strategies (285287); seed detection on solid surfaces and/or in environmental samples (288295); colorimetric- (Micro-QuIC) (296298) or capillary-based (Cap-QuIC) (299) readouts; higher throughput 384-well plate assay formats (300); artificial intelligence-assisted analysis of data (AI-QuIC) (301); and, more automated, standardized, and streamlined RT-QuIC/SAA data analysis software (QuICSeedR) (302). A troubling observation that we have made using surface detection methods is that prions and pathologic seeds of tau and aSyn that have been dried onto surgical instruments can retain seeding activity even after treatment with a standard clinical cleaning and disinfection protocol (291). Others have recently reported that four successive attempts to use hypochlorite bleach to decontaminate a barn used to house scrapie-infected sheep failed to prevent subsequent infections of naïve sheep (303). These findings raise the possibility that broader testing, more effective disinfection strategies, and/or increased use of disposable devices and materials should be developed and implemented in situations in which proteinopathy transmissions might be a concern.

Fig 6.

Setup uses test specimen, protein substrate, and dye in wells. Amplification cycles convert monomers into fibrils via seeding, fragmentation, and dye binding. Readout shows fluorescence curves by dilution.

Proteopathic seed amplification assay: RT-QuIC format (280, 281). SETUP: The designated key ingredients are mixed with a variety of other analyte-dependent reaction constituents in multi-well plates and subjected to cycles of shaking and rest in a temperature-controlled fluorescence plate reader, with periodic fluorescence reading. AMPLIFICATION: Proteopathic seeds in the specimen bind, refold, and incorporate monomers (or perhaps small oligomeric precursors) onto their growing tips (elongation) and perhaps their sides (secondary nucleation). Agitation fragments the elongated fibrils to generate many more seeds than were in the original sample. Amplifications of prion seeding activity of up to a trillion-fold have been observed (e.g., reference 304). READOUT: An amyloid-sensitive dye such as thioflavin T emits increasing fluorescence as new fibril forms until the supply of free substrate is exhausted, as the fluorescence plateaus. With serial dilutions of the test specimen, the lag phase, or time to a given fluorescence threshold of positivity, tends to increase. Eventually, an endpoint dilution is reached at which some of the replicate reactions fail to become positive. An SD50 is defined as the amount of sample that gives positive reactions in 50% of the replicates.

PrP prion RT-QuIC

RT-QuIC assays have markedly improved prion disease diagnosis, with RT-QuIC testing of cerebrospinal fluid now being included in the official diagnostic criteria for sCJD in the United States and Europe (https://www.cdc.gov/creutzfeldt-jakob/hcp/clinical-overview/diagnosis.html; https://www.ecdc.europa.eu/en/infectious-disease-topics/variant-creutzfeldt-jakob-disease/disease-information/eu-case-definition). Round robin studies have reported high interlaboratory reproducibility and concordance in RT-QuIC of testing cerebrospinal fluid (CSF), olfactory mucosa (nasal swabbings), and retropharyngeal lymph node specimens, often using different reagents (305308). RT-QuIC testing has proven to be more practical than animal bioassays and PMCA and, importantly, in terms of biohazards to assayists, the highly amplified sCJD-seeded RT-QuIC products are not themselves infectious (309).

The adaptation of RT-QuIC assays to peripheral tissues of diagnostic interest (279), such as CSF (278, 281, 305, 306, 310316), olfactory mucosa (317319), skin (320322), tears (323), urine (324326), and feces (327, 328) has improved accurate and sensitive early detection of most known mammalian prion strains. Some prion strains, such as human sCJD and vCJD, C-, H-, and L-BSE, and classical and atypical Nor98 scrapie in sheep, can be readily discriminated (329331). Pre-symptomatic detection of prions in CSF or peripheral tissues has been shown for hamster-adapted scrapie (332, 333), CWD (326, 333), and genetic human diseases (315). Although significant progress has been made toward the use of RT-QuIC in more routinely collected peripheral biofluids such as blood (304, 333, 334), improvements in the practicality and quantitative capabilities of the assay would be helpful.

α-synuclein RT-QuIC/SAA

aSyn SAAs are widely used for research purposes and are being increasingly validated for clinical purposes (335337). The first aSyn RT-QuIC SAA was first reported by Green et al. (338), followed by a similar assay called aSyn PMCA by the Soto lab (339). These initial assays took 5–13 days, but we have since reported aSyn RT-QuIC assays that take only 48 h (340, 341), or even 12 h (316). So far, aSyn SAAs have detected pathological aSyn aggregates in a variety of biospecimens including brain tissue, cerebrospinal fluid (CSF) (e.g., 287, 335, 337347), olfactory mucosa (348, 349), blood components (350, 351), submandibular gland (352), skin (346, 353, 354), and intestinal mucosa (IM) (355). Current assays can detect seeds even in prodromal phases of disease (e.g., 62, 343, 345, 356361). PD and DLB seed detection with CSF-based aSyn RT-QuIC often yields roughly 90% sensitivity and 90%–100% specificity (e.g., 287, 335, 338340, 342345, 347). Sensitivities of olfactory mucosal analyses have ranged from 45% to 90%, while maintaining ~90% specificity (348, 357). SAA kinetic parameters can help discriminate PD from PSP with aSyn co-pathology (337). Faster seeding was seen with GBA1-Parkinson’s disease and predicts cognitive decline in Parkinson’s disease. Although significant progress has been achieved in α-synuclein RT-QuIC assays, further improvements, such as greater consistency, more effective applications to easily accessible biospecimen samples like blood, automation, and standardization of data analysis (362), and advanced quantitative capabilities (285, 286, 336, 362) would be valuable.

Tau RT-QuIC

Also promising, but less developed for diagnostic purposes, are tau SAAs. Using previously described tau constructs (363), the Colby (364) and Margittai (365) groups initially showed that both truncated (K18 [4R] and K19 [3R]) and full-length (htau40) recombinant tau constructs could be seeded by AD brain extracts. Building upon these principles, we established the first ultrasensitive and selective tau RT-QuIC assay using a modified 3R K19 substrate (366). This assay detects Pick’s disease seeds in postmortem CSF and brain tissue dilutions as extreme as 10−9. We then developed tau RT-QuIC assays for 3R/4R tauopathies (AD, CTE, and primary age-related tauopathy), called AD RT-QuIC (367) and K12 RT-QuIC (368). AD RT-QuIC uses a primary tau construct encompassing the core residues of brain-derived AD tau fibrils (ͳ306 [148]). Carlomagno et al. used a related approach to detect seeds in antemortem AD CSF (369). A modified K12 (3R) construct, which is C-terminally extended to residue 400 (368), allows detection and differentiation of both 3R/4R (e.g., AD) and 3R (Pick’s) tau seeds in the brain based on ThT amplitudes and FTIR spectra. A modified K18 construct alone, as well as a combination of all six full-length human tau isoforms, can also detect seeds in AD brain homogenate (370). Discrimination of amplified PSP- and CBD-seeded conformers has been shown with the original 4R tau RT-QuIC assay (371). This assay, which uses both 3R (K19CFh) and 4R (K18 CFh) constructs, also detects seeds in postmortem and, to a lesser extent, antemortem PSP and CBD CSF specimens. Later improvements led to a 4R-sensitive tau RT-QuIC assay using a single construct (K11CFh), which also differentiates between CBD and PSP and supported the identification of a novel case of mixed pathology (372). Safar et al. have shown that reactions containing a K18 (4R) substrate can kinetically discriminate rapidly progressing AD cases from more slowly progressing sporadic AD cases, suggesting that the tau seeds differ structurally between these AD subtypes (142). A 4R tau RT-QuIC assay has also been adapted for the detection of PSP and corticobasal syndrome in postmortem and antemortem skin samples (373). Encouragingly, the antemortem skin panel yielded 87.5% sensitivity and 95% specificity for PSP diagnosis. Tau seeding activity has also been detected in postmortem skin samples collected from AD, PSP, CBD, and Pick’s disease patients with 75%–80% sensitivity and 95%–100% specificity for tauopathy (374). Although the above reports are promising, much remains to be done with tau RT-QuIC/SAAs to fully establish high diagnostic accuracy in living patients using accessible biospecimens.

SOD1 seeding activity as a biomarker for ALS

As noted above, ALS often involves the accumulation of SOD1 aggregates in ALS linked to SOD1 (375) and C9ORF72 mutations (376, 377). Aggregates have also been reported in sporadic ALS cases (378), but the latter finding is controversial (379). Recently, Leavens and colleagues developed an SOD1 RT-QuIC assay that detects SOD1 seeds in postmortem spinal cord (sporadic and familial cases) and motor cortex (sporadic cases) tissue from ALS patients (380). These results are consistent with SOD1 seeding activity being a useful ALS biomarker, particularly if SOD1 seed detection in accessible patient biospecimens is more fully documented. Such a capability may be especially helpful in confirming sporadic ALS cases when genetic testing would not be indicative. On a more fundamental level, the presence of SOD1 seeding activity in diseased ALS neural tissues provides evidence of a SOD1 self-propagating activity that could be a molecular basis for the neuroanatomical spreading feature of ALS neuropathology.

TDP-43 seeds in ALS and FTLD

TDP-43 aggregates have been linked to diseases such as ALS, frontotemporal lobar degeneration (FTLD), and AD. TDP-43 normally regulates RNA metabolism and splicing in neurons and shuttles between the nucleus and cytoplasm (381). TDP-43 is usually highly α-helical; however, with pathological mutations and/or conditions, TDP-43 can also form β-sheets, and its nuclear import can be disrupted (382). Aberrant TDP-43 can recruit native TDP-43 in a prion-like fashion to form fibrils that can move from cell to cell, causing a TDP-43 loss of function and cellular dysfunction (383). Spreading pathology can also be induced by inoculation of extracts from diseased human brain tissue into animal models (384). TDP-43 RT-QuIC SAAs have been developed and applied to CSF from ALS and FTLD patients, yielding 94% diagnostic sensitivity and 85% specificity overall (385). Subsequent testing of olfactory mucosa samples from patients with frontotemporal dementia gave 82.4% sensitivity (349), while ALS patients yielded 46.9% sensitivity and 88.9% specificity (386). However, in our experience at least, TDP-43 RT-QuIC assays can be challenging to reproduce consistently. Thus, as with many types of SAA, the development of more robust and simpler TDP-43 RT-QuIC assays should be helpful for routine clinical applications.

INHIBITING AGGREGATE ACCUMULATION FOR THERAPEUTIC PURPOSES

Whether the accumulation of protein aggregates is the primary cause or a toxic consequence of a given proteinopathy, inhibiting further aggregation and spreading would likely be beneficial for the patient (Fig. 7). Prominent therapeutic strategies include the following: eliminating (38, 387) or reducing the concentration of the native monomers required for aggregate growth (388396); stabilizing the native protein monomer against incorporation into amyloid (397, 398); and blocking the templating surface(s) on the aggregates (399).

Fig 7.

Gene silencing, antisense RNA, or stabilizing antibodies target amyloid precursor, monomers, or seeds. Disaggregases break fibrils into degradation products, while inhibitors block toxic fragment spread between neurons.

Therapeutic targets to reduce aggregate accumulation and spread. The indicated approaches have, or might be (?), pursued to (A) reduce aggregate/seed growth; (B) increase aggregate degradation; (C) prevent fragmentation into smaller and potentially more active, mobile, infectious, and/or toxic seeds; or (D) limit the spread of seeds within and/or between cells, tissues, and individuals.

PrP prion diseases

The early availability of prion disease-recapitulating animal models supported the discovery of the first prophylactic or therapeutic proteinopathy inhibitors in the 1970s (400402). These inhibitors were initially chosen for their anti-viral activities, but subsequent studies in infected cell cultures (403, 404) and cell-free PrP conversion assays (405, 406) indicated anti-PrPSc mechanisms and enabled much broader searches for inhibitors of prion propagation (405, 407411). The best of those compounds could then be tested in vivo (401, 402, 412, 413). Inhibitors have also been further tested, and in some cases newly identified, using mouse organotypic slice cultures (414, 415), human prion-infected brain organoids (416), and/or toxicity-based assays in mouse hippocampal neuronal cultures (417, 418).

These approaches have identified numerous inhibitors that markedly delay the onset of prion disease, especially if administered early before peripheral prion infections have reached the brain. However, most of these compounds have poor bioavailability to the CNS and are much less able to enhance survival once prion infections have reached the brain (401, 402, 405). Crossing the blood-brain barrier is a common obstacle in CNS pharmacology. Direct injections of the compounds into the brain improved the efficacy of some compounds later in the disease course in rodents (419422) but would not be a preferred dosing modality in practice. One anti-prion compound with favorable brain penetration is the antibiotic doxycycline (423). Conflicting results were obtained from doxycycline treatments of patients with preexisting prion disease, but trials of long-term preventative treatments of subjects with genetic risk of fatal familial insomnia (a prion disease) are ongoing (423). Further studies have explored anti-prion vaccines (424427), antibodies (428, 429), and aptamers (430434) (Fig. 7). However, so far, no non-antibody drugs have proven to be effective enough in human trials to be approved as treatments for prion disease in humans. One promising inhibitory antibody, PRN100, was approved for more extensive human clinical trials in the UK, but to our knowledge, sufficient funding for such trials has failed to materialize.

Additional, and potentially complementary, approaches to prion disease therapeutics have been applications of short hairpin RNAs (396) and antisense oligonucleotides (ASOs) to reduce the CNS levels of PrP mRNA, and hence PrPC protein, as a substrate for further conversion to PrPSc (Fig. 7). The ASO approach showed considerable promise in rodent models infected with multiple prion strains, even with a single ASO dose given near the onset of clinical prion disease (390, 435, 436). Subsequent “humanization” of the ASOs has enabled an ongoing phase 1/2a clinical trial in humans (PrProfile) of intrathecally administered ASO ION717 by Ionis Pharmaceuticals and multiple international clinical centers.

Another approach to reducing human PrPC expression in a “humanized” mouse model by in vivo adeno-associated virus-mediated PRNP gene base editing has been described recently (388) (Fig. 7). Encouragingly, this strategy proved to be protective against challenges with a variety of sporadic and genetic human prion subtypes. Also promising is an approach to silencing of genes in the brain called Coupled Histone Tail for Autoinhibition Release of Methyltransferase (CHARM) (389). Although CHARM has been demonstrated using the prion protein as an example, it represents an approach that could be broadly applied to the silencing of other genes for amyloidogenic proteins or modulators thereof.

The delivery of mesenchymal stem cells and activation of the glymphatic system have also been demonstrated as a promising approach to prion disease therapy (437). However, so far, this approach has only been tested in mice against a single prion strain. Unfortunately, many previously tested therapies have shown encouraging anti-prion activities in rodents but have proven to be ineffective or difficult to translate into human therapeutics (401, 402, 438).

The availability of the high-resolution cryo-EM structure for the PrP fibrils of GSS patients with the F198S Prnp mutation (154) should support more rational structure-based approaches to the screening and design of therapeutics for at least this one familial form of human prion disease. It remains important to follow a similar approach with sporadic CJD, but, as noted above, the much greater infectivity of sCJD prions has prevented cryo-EM analyses so far.

Other proteinopathies

Despite considerable effort over decades, there has been little success in establishing therapies that markedly affect the underlying disease process for most proteinopathies. However, a notable exception is the FDA approval of the small molecule tafamidis for the treatment of transthyretin type familial amyloid polyneuropathy (TTR-FAP) (398, 439). Tafamidis stabilizes the native transthyretin tetramer, preventing its incorporation into amyloid fibrils. Other prominent therapeutic approaches to limiting aggregate accumulation in proteinopathies are immunological (392, 440, 441) or RNA-based (e.g., antisense oligonucleotides) (391, 393, 394, 442) (https://ionis.com/science-and-innovation/pipeline). Multiple drugs derived from such efforts are in clinical trials, and some are already approved as drugs. As examples, we will highlight three antibodies that have been applied to AD in humans.

Both active and passive immunotherapies against Aβ accumulation have been explored (reviewed in reference 441). Vaccination approaches have been plagued by undesirable autoimmune responses in some recipients. Passively administered antibodies against Aβ fibrils (Aducanumab), protofilaments/oligomers (Lecanemab), and specific pyroglutamated plaque subspecies (Donanemab) have significantly reduced Aβ plaque burdens, other AD biomarkers, and some clinical indices of disease progression in clinical trials. However, these trials have also identified occasional side effects such as microhemorrhaging and edema that seem likely to be consequences of antibody binding to perivascular CAA deposits that are frequently found in AD patients. Nonetheless, each of these antibodies has been approved by the FDA for the treatment of mild cognitive impairment or mild dementia stages of AD. Even so, aducanumab was removed from further development by the manufacturer in 2024.

Improved biomarkers are guiding earlier therapeutic interventions and lessening dependence on clinical syndromes alone (441), but arguments are also being raised against the approval of amyloid-targeting therapies based primarily on biomarker data (443). A limitation of attacking only Aβ-based pathology in AD is that this may do little to impede the progression of concurrent tau-based pathology that is also a key element of AD. Fortunately, trials of therapeutics that simultaneously target the aggregation of both Aβ and tau are underway to address this issue (reviewed in references 441, 444).

Conclusions

A multitude of related approaches to treating other proteinopathies in animal models, and, to a lesser extent, human patients, have shown encouraging results that may be built upon to more effectively treat these diseases. Overall, the optimization of much-needed therapeutic approaches for proteinopathies will likely be greatly aided by the strides made towards earlier and more accurate diagnoses and improved understanding of diverse protein aggregate structures and the various pathologies that they cause. Indeed, structure and machine learning based approaches are beginning to allow high-throughput screening and identification of potent new small molecule inhibitors of fibril growth (399). Efforts to ameliorate proteinopathies are of great importance given the huge burdens that these diseases collectively impose on society, especially with an aging population and exposures to environmental risk factors (reviewed in references 117, 445).

ACKNOWLEDGMENTS

We thank Dr. Moses Leavens (McLaughlin Research Institute) for his insightful input.

This work was supported by the Division of Intramural Research of the NIAID and by generous gifts from Mary Hilderman Smith, Zoë Smith Jaye, and Jenny Smith Unruh in memory of Jeffrey Smith.

Biographies

Byron Caughey completed his Ph.D. in biochemistry from the University of Wisconsin-Madison in 1985 and postdoctoral studies at Duke University in 1986. He has since been at the NIAID/NIH Rocky Mountain Laboratories, becoming a tenured senior investigator in 1994. His work has focused mostly on prion diseases, including structure, cell biology, transmissibility, disinfection, diagnostics, and therapeutics. Recently, he and his collaborators have determined the first high-resolution structures of several infectious mammalian prion strains. His lab has also developed ultrasensitive RT-QuIC prion seed amplification assays are widely used in prion detection and prion disease diagnosis, and adapted the assay platform to Parkinson’s, Alzheimer’s, and related human diseases. His collaborative findings with antisense oligonucleotides in animal models have underpinned ongoing human clinical trials of ASOs for prion disease. Dr. Caughey is a Fellow of the American Academy of Microbiology.

Efrosini Artikis is a postdoctoral researcher at the NIH/NIAID Rocky Mountain Laboratories in Hamilton, MT. She earned her B.Sc. in Chemistry from Florida State University and completed her Ph.D. in Biophysics from the University of Michigan in 2020. During her academic journey, she has cultivated a strong interest in structural biology and its application to neurodegenerative disease. Her current work focuses on understanding the role of protein structure and dynamics in mechanistic aspects of prion diseases.

Daniel Shoup received his Ph.D. in Biochemistry and Biophysics from Texas A&M University in 2016 for characterizing the intricacies of protein aggregate disassembly by molecular chaperones using a combination of novel single particle and ensemble fluorescence-based techniques. He is currently a Research Fellow at NIAID/NIH Rocky Mountain Laboratories. Using a combination of immunoassays and fluorescence-based techniques, his current research focuses on uncovering how interactions between cellular machinery and infectious prions alters both cellular physiology and the properties of infectious prions. His work not only provides a deeper insight into prion behavior in cellular environments but also provides a better understanding of the cellular mechanisms involved in other neurodegenerative diseases.

Christina D. Orrú is a Staff Scientist in the Prion Biochemistry section at Rocky Mountain Laboratories, National Institutes of Health (NIH). Over the past 15 years, Dr. Orru has played a key role in the development of the Real Time Quaking Conversion assay (RT-QuIC) for sensitive and specific amplification of disease associated prion protein. She has continued to contribute to the improvement and adaptation of this technology, which has given rise to more modern-day diagnostic seed amplification assays. More recently Dr. Orru aided in adapting this technology to pathological alpha-synuclein detection in diagnostically relevant samples as well as detection from surfaces contaminated with prion, alpha-synuclein, and Tau. Dr Orru has been principal & co-principal investigator on several international grants/collaborations leading, for example, an international ring trial validation for the CSF and OM RT-QuIC for sCJD intra vitam diagnosis.

Parvez Alam received his master’s and Ph.D. in Biotechnology from Aligarh Muslim University, Aligarh, India. His Ph.D. research focused on investigating the inhibitory effects of small molecules on protein amyloid formation. He pursued postdoctoral training at Aarhus University, Denmark, where he worked on alpha-synuclein and in vitro blood-brain barrier model. Currently, he is a Visiting Fellow at the National Institutes of Health, United States. His research focuses on developing ultrasensitive diagnostic assays for Parkinson’s and other neurodegenerative disorders. Additionally, he is exploring the structural details of brain-derived prion strains. Parvez has been working in the field of amyloids and neurodegenerative disorders for over a decade.

Sabiha Parveen completed her Ph.D. in Chemistry from Aligarh Muslim University, India, focusing on the synthesis of anti-cancer therapeutic molecules. She later joined the Department of Chemistry at Aligarh Muslim University as an Assistant Professor, where she taught various undergraduate level chemistry courses. Currently, she is working as a Visiting Fellow at the National Institutes of Health. Her research primarily focuses on developing RT-QuIC seed amplification assays for Alzheimer’s and Parkinson’s diseases.

Samantha King received her B.S. in chemistry at the University of Montana. After spending two years working in industry as an analytical chemist, she decided to pursue a research opportunity to establish and fortify her interest in biochemistry. Samantha worked in the Caughey lab as a post-baccalaureate fellow for one year and is now pursuing her PhD at Colorado State University through the Biochemistry and Molecular Biology department. She plans to continue researching neurodegenerative diseases in the future.

After receiving his M.Sc. in Virology, Jakub Soukup began his Ph.D. in prion research in 2016 at Charles University, Prague, and has continued in the field through his current postdoctoral work. Trained in both light and electron microscopy since his M.Sc., he has developed expertise in applying advanced imaging approaches to biological research. His work focuses on high-resolution visualization of prions in cells and extracellular vesicles, exploring how their spatial organization and interactions contribute to disease processes, alongside structural studies using cryo-EM.

Andrew G. Hughson received his MS in Genetics and Cell Biology at Washington State University studying bacterial transmembrane receptor signal transduction. He has worked for the past 25 years in Dr. Byron Caughey’s research group at Rocky Mountain Labs as a technician to support research on prion and prion like neurodegenerative diseases.

Suzette Priola received her Ph.D. in microbiology and immunology in 1990 from the University of California, Los Angeles. In 1991, she joined the Rocky Mountain Laboratories where she is now a Senior Investigator. She is a former Chair of the FDA TSE Advisory Committee and is currently Deputy Chief of the Laboratory of Neurological Infections and Immunity and Chief of the TSE/Prion Molecular Biology Section. Her laboratory focuses on the molecular basis of disease in transmissible spongiform encephalopathy (TSE) or prion diseases. Using both in vitro and in vivo model systems, Dr. Priola’s laboratory studies the role of PrPC and PrPSc in several aspects of prion pathogenesis, including: 1) the molecular pathogenesis of prion species barriers and strains; 2) the establishment of acute versus chronic prion infection; 2) the contribution of mitochondria to prion pathogenesis; and 4) the development of prion vaccines and therapeutics.

Contributor Information

Byron Caughey, Email: bcaughey@nih.gov.

Corrella S. Detweiler, University of Colorado Boulder, Boulder, Colorado, USA

REFERENCES

  • 1. Chiti F, Dobson CM. 2017. Protein misfolding, amyloid formation, and human disease: a summary of progress over the last decade. Annu Rev Biochem 86:27–68. doi: 10.1146/annurev-biochem-061516-045115 [DOI] [PubMed] [Google Scholar]
  • 2. Rinauro DJ, Chiti F, Vendruscolo M, Limbocker R. 2024. Misfolded protein oligomers: mechanisms of formation, cytotoxic effects, and pharmacological approaches against protein misfolding diseases. Mol Neurodegener 19:20. doi: 10.1186/s13024-023-00651-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Riek R, Hornemann S, Wider G, Billeter M, Glockshuber R, Wüthrich K. 1996. NMR structure of the mouse prion protein domain PrP(121–231). Nature 382:180–182. doi: 10.1038/382180a0 [DOI] [PubMed] [Google Scholar]
  • 4. Lu J, Yu Y, Zhu I, Cheng Y, Sun PD. 2014. Structural mechanism of serum amyloid A-mediated inflammatory amyloidosis. Proc Natl Acad Sci U S A 111:5189–5194. doi: 10.1073/pnas.1322357111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Caughey BW, Dong A, Bhat KS, Ernst D, Hayes SF, Caughey WS. 1991. Secondary structure analysis of the scrapie-associated protein PrP 27-30 in water by infrared spectroscopy. Biochemistry 30:7672–7680. doi: 10.1021/bi00245a003 [DOI] [PubMed] [Google Scholar]
  • 6. Safar J, Roller PP, Gajdusek DC, Gibbs CJ. 1993. Conformational transitions, dissociation, and unfolding of scrapie amyloid (prion) protein. J Biol Chem 268:20276–20284. [PubMed] [Google Scholar]
  • 7. Pan K-M, Baldwin M, Nguyen J, Gasset M, Serban A, Groth D, Mehlhorn I, Huang Z, Fletterick RJ, Cohen FE, Prusiner SB. 1993. Conversion of alpha-helices into beta-sheets features in the formation of the scrapie prion proteins. Proc Natl Acad Sci U S A 90:10962–10966. doi: 10.1073/pnas.90.23.10962 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Kraus A, Hoyt F, Schwartz CL, Hansen B, Artikis E, Hughson AG, Raymond GJ, Race B, Baron GS, Caughey B. 2021. High-resolution structure and strain comparison of infectious mammalian prions. Mol Cell 81:4540–4551. doi: 10.1016/j.molcel.2021.08.011 [DOI] [PubMed] [Google Scholar]
  • 9. Schulte T, Chaves-Sanjuan A, Mazzini G, Speranzini V, Lavatelli F, Ferri F, Palizzotto C, Mazza M, Milani P, Nuvolone M, Vogt AC, Vogel M, Palladini G, Merlini G, Bolognesi M, Ferro S, Zini E, Ricagno S. 2022. Cryo-EM structure of ex vivo fibrils associated with extreme AA amyloidosis prevalence in a cat shelter. Nat Commun 13:7041. doi: 10.1038/s41467-022-34743-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Banerjee S, Baur J, Daniel C, Pfeiffer PB, Hitzenberger M, Kuhn L, Wiese S, Bijzet J, Haupt C, Amann KU, Zacharias M, Hazenberg BPC, Westermark GT, Schmidt M, Fändrich M. 2022. Amyloid fibril structure from the vascular variant of systemic AA amyloidosis. Nat Commun 13:7261. doi: 10.1038/s41467-022-34636-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Bansal A, Schmidt M, Rennegarbe M, Haupt C, Liberta F, Stecher S, Puscalau-Girtu I, Biedermann A, Fändrich M. 2021. AA amyloid fibrils from diseased tissue are structurally different from in vitro formed SAA fibrils. Nat Commun 12:1013. doi: 10.1038/s41467-021-21129-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Moccia V, Tucciarone CM, Garutti S, Milazzo M, Ferri F, Palizzotto C, Mazza M, Basset M, Zini E, Ricagno S, Ferro S. 2025. AA amyloidosis in vertebrates: epidemiology, pathology and molecular aspects. Amyloid 32:3–13. doi: 10.1080/13506129.2024.2417219 [DOI] [PubMed] [Google Scholar]
  • 13. Chung CS, Kou Y, Shemtov SJ, Verheijen BM, Flores I, Love K, Del Dosso A, Thorwald MA, Liu Y, Hicks D, et al. 2024. Transcript errors generate amyloid-like proteins in human cells. Nat Commun 15:8676. doi: 10.1038/s41467-024-52886-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Hoyt F, Standke HG, Artikis E, Schwartz CL, Hansen B, Li K, Hughson AG, Manca M, Thomas OR, Raymond GJ, Race B, Baron GS, Caughey B, Kraus A. 2022. Cryo-EM structure of anchorless RML prion reveals variations in shared motifs between distinct strains. Nat Commun 13:4005. doi: 10.1038/s41467-022-30458-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Hoyt F, Alam P, Artikis E, Schwartz CL, Hughson AG, Race B, Baune C, Raymond GJ, Baron GS, Kraus A, Caughey B. 2022. Cryo-EM of prion strains from the same genotype of host identifies conformational determinants. PLoS Pathog 18:e1010947. doi: 10.1371/journal.ppat.1010947 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Manka SW, Zhang W, Wenborn A, Betts J, Joiner S, Saibil HR, Collinge J, Wadsworth JDF. 2022. 2.7 Å cryo-EM structure of ex vivo RML prion fibrils. Nat Commun 13:4004. doi: 10.1038/s41467-022-30457-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Sun Y, Jack K, Ercolani T, Sangar D, Hosszu L, Collinge J, Bieschke J. 2023. Direct observation of competing prion protein fibril populations with distinct structures and kinetics. ACS Nano 17:6575–6588. doi: 10.1021/acsnano.2c12009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Rangel A, Race B, Phillips K, Striebel J, Kurtz N, Chesebro B. 2014. Distinct patterns of spread of prion infection in brains of mice expressing anchorless or anchored forms of prion protein. Acta Neuropathol Commun 2:8. doi: 10.1186/2051-5960-2-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Tatzelt J, Groth DF, Torchia M, Prusiner SB, DeArmond SJ. 1999. Kinetics of prion protein accumulation in the CNS of mice with experimental scrapie. J Neuropathol Exp Neurol 58:1244–1249. doi: 10.1097/00005072-199912000-00005 [DOI] [PubMed] [Google Scholar]
  • 20. Cuille J, Chelle PL. 1936. Pathologie animal--la maladie dite tremblante du mouton est-elle inoculable? CRAcadSci(Paris) 203:1552–1554. [Google Scholar]
  • 21. Brown P, Bradley R. 1998. 1755 and all that: a historical primer of transmissible spongiform encephalopathy. BMJ 317:1688–1692. doi: 10.1136/bmj.317.7174.1688 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Chandler RL. 1961. Encephalopathy in mice produced by inoculation with scrapie brain material. Lancet 277:1378–1379. doi: 10.1016/S0140-6736(61)92008-6 [DOI] [Google Scholar]
  • 23. Zlotnik I. 1963. Experimental transmission of scrapie to golden hamsters. The Lancet 282:1072. doi: 10.1016/S0140-6736(63)90053-9 [DOI] [Google Scholar]
  • 24. Dickinson AG, Meikle VMH, Fraser HG. 1968. Identification of a gene which controls the incubation period of some strains of scrapie agent in mice. J Comp Pathol 78:293–299. doi: 10.1016/0021-9975(68)90005-4 [DOI] [PubMed] [Google Scholar]
  • 25. Moore RC, Hope J, McBride PA, McConnell I, Selfridge J, Melton DW, Manson JC. 1998. Mice with gene targetted prion protein alterations show that Prnp, Sinc and Prni are congruent. Nat Genet 18:118–125. doi: 10.1038/ng0298-118 [DOI] [PubMed] [Google Scholar]
  • 26. Gibbs CJ, Gajdusek DC, Asher DM, Alpers MP, Beck E, Daniel PM, Matthews WB. 1968. Creutzfeldt-Jakob disease (spongiform encephalopathy): transmission to the chimpanzee. Science 161:388–389. doi: 10.1126/science.161.3839.388 [DOI] [PubMed] [Google Scholar]
  • 27. Gajdusek DC, Gibbs CJ, Alpers M. 1966. Experimental Transmission of a Kuru-like Syndrome to Chimpanzees. Nature 209:794–796. doi: 10.1038/209794a0 [DOI] [PubMed] [Google Scholar]
  • 28. Griffith JS. 1967. Self-replication and scrapie. Nature 215:1043–1044. doi: 10.1038/2151043a0 [DOI] [PubMed] [Google Scholar]
  • 29. Liberski PP. 2004. Amyloid plaques in transmissible spongiform encephalopathies (prion diseases). Folia Neuropathol 42 Suppl B:109–119. [PubMed] [Google Scholar]
  • 30. Kascsak RJ, Rubenstein R, Merz PA, Carp RI, Wisniewski HM, Diringer H, Kascsak RJ, Rubenstein R, Merz PA, Carp RI, et al. 1985. Biochemical differences among scrapie-associated fibrils support the biological diversity of scrapie agents. J Gen Virol 66 ( Pt 8):1715–1722. doi: 10.1099/0022-1317-66-8-1715 [DOI] [PubMed] [Google Scholar]
  • 31. Prusiner SB. 1982. Novel proteinaceous infectious particles cause scrapie. Science 216:136–144. doi: 10.1126/science.6801762 [DOI] [PubMed] [Google Scholar]
  • 32. Bolton DC, McKinley MP, Prusiner SB. 1982. Identification of a protein that purifies with the scrapie prion. Science 218:1309–1311. doi: 10.1126/science.6815801 [DOI] [PubMed] [Google Scholar]
  • 33. McKinley MP, Bolton DC, Prusiner SB. 1983. A protease-resistant protein is a structural component of the scrapie prion. Cell 35:57–62. doi: 10.1016/0092-8674(83)90207-6 [DOI] [PubMed] [Google Scholar]
  • 34. Prusiner SB, McKinley MP, Bowman KA, Bolton DC, Bendheim PE, Groth DF, Glenner GG. 1983. Scrapie prions aggregate to form amyloid-like birefringent rods. Cell 35:349–358. doi: 10.1016/0092-8674(83)90168-x [DOI] [PubMed] [Google Scholar]
  • 35. Oesch B, Westaway D, Wälchli M, McKinley MP, Kent SB, Aebersold R, Barry RA, Tempst P, Teplow DB, Hood LE. 1985. A cellular gene encodes scrapie PrP 27-30 protein. Cell 40:735–746. doi: 10.1016/0092-8674(85)90333-2 [DOI] [PubMed] [Google Scholar]
  • 36. Chesebro B, Race R, Wehrly K, Nishio J, Bloom M, Lechner D, Bergstrom S, Robbins K, Mayer L, Keith JM, Garon C, Haase A. 1985. Identification of scrapie prion protein-specific mRNA in scrapie-infected and uninfected brain. Nature 315:331–333. doi: 10.1038/315331a0 [DOI] [PubMed] [Google Scholar]
  • 37. Robakis NK, Sawh PR, Wolfe GC, Rubenstein R, Carp RI, Innis MA. 1986. Isolation of a cDNA clone encoding the leader peptide of prion protein and expression of the homologous gene in various tissues. Proc Natl Acad Sci USA 83:6377–6381. doi: 10.1073/pnas.83.17.6377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Büeler H, Aguzzi A, Sailer A, Greiner RA, Autenried P, Aguet M, Weissmann C. 1993. Mice devoid of PrP are resistant to scrapie. Cell 73:1339–1347. doi: 10.1016/0092-8674(93)90360-3 [DOI] [PubMed] [Google Scholar]
  • 39. Kocisko DA, Come JH, Priola SA, Chesebro B, Raymond GJ, Lansbury PT, Caughey B. 1994. Cell-free formation of protease-resistant prion protein. Nature 370:471–474. doi: 10.1038/370471a0 [DOI] [PubMed] [Google Scholar]
  • 40. Castilla J, Saá P, Hetz C, Soto C. 2005. In vitro generation of infectious scrapie prions. Cell 121:195–206. doi: 10.1016/j.cell.2005.02.011 [DOI] [PubMed] [Google Scholar]
  • 41. Bessen RA, Kocisko DA, Raymond GJ, Nandan S, Lansbury PT, Caughey B. 1995. Non-genetic propagation of strain-specific properties of scrapie prion protein. Nature 375:698–700. doi: 10.1038/375698a0 [DOI] [PubMed] [Google Scholar]
  • 42. Legname G, Baskakov IV, Nguyen H-OB, Riesner D, Cohen FE, DeArmond SJ, Prusiner SB. 2004. Synthetic mammalian prions. Science 305:673–676. doi: 10.1126/science.1100195 [DOI] [PubMed] [Google Scholar]
  • 43. Wang F, Wang X, Yuan CG, Ma J. 2010. Generating a prion with bacterially expressed recombinant prion protein. Science 327:1132–1135. doi: 10.1126/science.1183748 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Kim JI, Cali I, Surewicz K, Kong Q, Raymond GJ, Atarashi R, Race B, Qing L, Gambetti P, Caughey B, Surewicz WK. 2010. Mammalian prions generated from bacterially expressed prion protein in the absence of any mammalian cofactors. J Biol Chem 285:14083–14087. doi: 10.1074/jbc.C110.113464 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Gajdusek DC. 1988. Transmissible and non-transmissible amyloidoses: autocatalytic post-translational conversion of host precursor proteins to beta-pleated sheet configurations. J Neuroimmunol 20:95–110. doi: 10.1016/0165-5728(88)90140-3 [DOI] [PubMed] [Google Scholar]
  • 46. Jarrett JT, Lansbury PT Jr. 1993. Seeding “one-dimensional crystallization” of amyloid: a pathogenic mechanism in Alzheimer’s disease and scrapie? Cell 73:1055–1058. doi: 10.1016/0092-8674(93)90635-4 [DOI] [PubMed] [Google Scholar]
  • 47. Come JH, Fraser PE, Lansbury PT Jr. 1993. A kinetic model for amyloid formation in the prion diseases: importance of seeding. Proc Natl Acad Sci USA 90:5959–5963. doi: 10.1073/pnas.90.13.5959 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Bessen RA, Marsh RF. 1994. Distinct PrP properties suggest the molecular basis of strain variation in transmissible mink encephalopathy. J Virol 68:7859–7868. doi: 10.1128/JVI.68.12.7859-7868.1994 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Supattapone S. 2020. Cofactor molecules: essential partners for infectious prions. Prog Mol Biol Transl Sci 175:53–75. doi: 10.1016/bs.pmbts.2020.07.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Irwin DJ, Abrams JY, Schonberger LB, Leschek EW, Mills JL, Lee VM-Y, Trojanowski JQ. 2013. Evaluation of potential infectivity of Alzheimer and Parkinson disease proteins in recipients of cadaver-derived human growth hormone. JAMA Neurol 70:462–468. doi: 10.1001/jamaneurol.2013.1933 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Asher DM, Belay E, Bigio E, Brandner S, Brubaker SA, Caughey B, Clark B, Damon I, Diamond M, Freund M, Hyman BT, Jucker M, Keene CD, Lieberman AP, Mackiewicz M, Montine TJ, Morgello S, Phelps C, Safar J, Schneider JA, Schonberger LB, Sigurdson C, Silverberg N, Trojanowski JQ, Frosch MP. 2020. Risk of transmissibility from neurodegenerative disease-associated proteins: experimental knowns and unknowns. J Neuropathol Exp Neurol 79:1141–1146. doi: 10.1093/jnen/nlaa109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Banerjee G, Farmer SF, Hyare H, Jaunmuktane Z, Mead S, Ryan NS, Schott JM, Werring DJ, Rudge P, Collinge J. 2024. Iatrogenic Alzheimer’s disease in recipients of cadaveric pituitary-derived growth hormone. Nat Med 30:394–402. doi: 10.1038/s41591-023-02729-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Jaunmuktane Z, Quaegebeur A, Taipa R, Viana-Baptista M, Barbosa R, Koriath C, Sciot R, Mead S, Brandner S. 2018. Evidence of amyloid-β cerebral amyloid angiopathy transmission through neurosurgery. Acta Neuropathol 135:671–679. doi: 10.1007/s00401-018-1822-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Jaunmuktane Zane, Mead S, Ellis M, Wadsworth JDF, Nicoll AJ, Kenny J, Launchbury F, Linehan J, Richard-Loendt A, Walker AS, Rudge P, Collinge J, Brandner S. 2015. Evidence for human transmission of amyloid-β pathology and cerebral amyloid angiopathy. Nature 525:247–250. doi: 10.1038/nature15369 [DOI] [PubMed] [Google Scholar]
  • 55. Pikija S, Toma A, Radlberger R, Griessenauer CJ, Hecker C, Trinka E, Ki PH, Kraus T, Weis S, Wermer MJH, van Etten ES, Kaushik K. 2025. Iatrogenic cerebral amyloid angiopathy in patients treated with cadaveric dura mater during childhood neurosurgery: a retrospective cohort study. Eur J Neurol 32:e70091. doi: 10.1111/ene.70091 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Koemans EA, van Etten ES. 2025. Cerebral amyloid angiopathy: one single entity? Curr Opin Neurol 38:29–34. doi: 10.1097/WCO.0000000000001330 [DOI] [PubMed] [Google Scholar]
  • 57. Caughey B, Kraus A. 2019. Transmissibility versus pathogenicity of self-propagating protein aggregates. Viruses 11:1044. doi: 10.3390/v11111044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Weingarten MD, Lockwood AH, Hwo SY, Kirschner MW. 1975. A protein factor essential for microtubule assembly. Proc Natl Acad Sci U S A 72:1858–1862. doi: 10.1073/pnas.72.5.1858 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Braak H, Alafuzoff I, Arzberger T, Kretzschmar H, Del Tredici K. 2006. Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry. Acta Neuropathol 112:389–404. doi: 10.1007/s00401-006-0127-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Braak Heiko, Del Tredici K, Rüb U, de Vos RAI, Jansen Steur ENH, Braak E. 2003. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol Aging 24:197–211. doi: 10.1016/s0197-4580(02)00065-9 [DOI] [PubMed] [Google Scholar]
  • 61. Horsager J, Andersen KB, Knudsen K, Skjærbæk C, Fedorova TD, Okkels N, Schaeffer E, Bonkat SK, Geday J, Otto M, Sommerauer M, Danielsen EH, Bech E, Kraft J, Munk OL, Hansen SD, Pavese N, Göder R, Brooks DJ, Berg D, Borghammer P. 2020. Brain-first versus body-first Parkinson’s disease: a multimodal imaging case-control study. Brain 143:3077–3088. doi: 10.1093/brain/awaa238 [DOI] [PubMed] [Google Scholar]
  • 62. Goldstein DS, Holmes C, Sullivan P, Isonaka R, Maric D, Alam P, Cliatt-Brown C, Gelsomino J, Moore S, Caughey B, Lamotte G. 2025. “Body-first” dementia with Lewy bodies. Clin Auton Res 35:623–627. doi: 10.1007/s10286-025-01128-6 [DOI] [PubMed] [Google Scholar]
  • 63. Neumann M, Sampathu DM, Kwong LK, Truax AC, Micsenyi MC, Chou TT, Bruce J, Schuck T, Grossman M, Clark CM, McCluskey LF, Miller BL, Masliah E, Mackenzie IR, Feldman H, Feiden W, Kretzschmar HA, Trojanowski JQ, Lee VMY. 2006. Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314:130–133. doi: 10.1126/science.1134108 [DOI] [PubMed] [Google Scholar]
  • 64. Arseni D, Chen R, Murzin AG, Peak-Chew SY, Garringer HJ, Newell KL, Kametani F, Robinson AC, Vidal R, Ghetti B, Hasegawa M, Ryskeldi-Falcon B. 2023. TDP-43 forms amyloid filaments with a distinct fold in type A FTLD-TDP. Nature 620:898–903. doi: 10.1038/s41586-023-06405-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Balendra R, Sreedharan J, Hallegger M, Luisier R, Lashuel HA, Gregory JM, Patani R. 2025. Amyotrophic lateral sclerosis caused by TARDBP mutations: from genetics to TDP-43 proteinopathy. Lancet Neurol 24:456–470. doi: 10.1016/S1474-4422(25)00109-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. DeFranco JP, Telling GC. 2025. The evolution of experimental rodent models for prion diseases. J Neurochem 169:e70039. doi: 10.1111/jnc.70039 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Saborio GP, Permanne B, Soto C. 2001. Sensitive detection of pathological prion protein by cyclic amplification of protein misfolding. Nature 411:810–813. doi: 10.1038/35081095 [DOI] [PubMed] [Google Scholar]
  • 68. Pineau H, Sim VL. 2021. From cell culture to organoids-model systems for investigating prion strain characteristics. Biomolecules 11:106. doi: 10.3390/biom11010106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Kraus A, Groveman BR, Caughey B. 2013. Prions and the potential transmissibility of protein misfolding diseases. Annu Rev Microbiol 67:543–564. doi: 10.1146/annurev-micro-092412-155735 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Pritzkow S, Gorski D, Ramirez F, Soto C. 2021. Prion dissemination through the environment and medical practices: facts and risks for human health. Clin Microbiol Rev 34:e0005919. doi: 10.1128/CMR.00059-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Gajdusek DC, Gibbs CJ, Alpers MP. 1967. Transmission and passage of experimenal “kuru” to chimpanzees. Science 155:212–214. [PubMed] [Google Scholar]
  • 72. Mead S, Whitfield J, Poulter M, Shah P, Uphill J, Campbell T, Al-Dujaily H, Hummerich H, Beck J, Mein CA, Verzilli C, Whittaker J, Alpers MP, Collinge J. 2009. A novel protective prion protein variant that colocalizes with kuru exposure. N Engl J Med 361:2056–2065. doi: 10.1056/NEJMoa0809716 [DOI] [PubMed] [Google Scholar]
  • 73. Brown P, Brandel JP, Sato T, Nakamura Y, MacKenzie J, Will RG, Ladogana A, Pocchiari M, Leschek EW, Schonberger LB. 2012. Iatrogenic Creutzfeldt-Jakob disease, final assessment. Emerg Infect Dis 18:901–907. doi: 10.3201/eid1806.120116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Hope J, Reekie LJD, Hunter N, Multhaup G, Beyreuther K, White H, Scott AC, Stack MJ, Dawson M, Wells GAH. 1988. Fibrils from brains of cows with new cattle disease contain scrapie-associated protein. Nature 336:390–392. doi: 10.1038/336390a0 [DOI] [PubMed] [Google Scholar]
  • 75. Hewitt PE, Llewelyn CA, Mackenzie J, Will RG. 2006. Creutzfeldt-Jakob disease and blood transfusion: results of the UK transfusion medicine epidemiological review study. Vox Sang 91:221–230. doi: 10.1111/j.1423-0410.2006.00833.x [DOI] [PubMed] [Google Scholar]
  • 76. Caughey B, Sim VL. 2024. Prions, p 624–653. In Howley PM, Knipe DM (ed), Fields Virology Fundamentals, 7th ed. Vol. 9. Wolters Kluwer, Philadelphia. [Google Scholar]
  • 77. Russell Greig J. 1940. Observations on the transmission of the disease by mediate contact. Veterinary J 96:203–206. doi: 10.1016/S0372-5545(17)35058-7 [DOI] [Google Scholar]
  • 78. Mathiason CK, Hays SA, Powers J, Hayes-Klug J, Langenberg J, Dahmes SJ, Osborn DA, Miller KV, Warren RJ, Mason GL, Hoover EA. 2009. Infectious prions in pre-clinical deer and transmission of chronic wasting disease solely by environmental exposure. PLoS One 4:e5916. doi: 10.1371/journal.pone.0005916 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Sohn HJ, DeFranco JP, Park HC, Park KJ, Bian J, Crowell J, Kim S, Webster BK, Kang HE, Telling GC. 2025. The strain properties of Korean and North American CWD prions are indistinguishable. J Infect Dis:jiaf210. doi: 10.1093/infdis/jiaf210 [DOI] [Google Scholar]
  • 80. Bartz JC, Benavente R, Caughey B, Christensen S, Herbst A, Hoover EA, Mathiason CK, McKenzie D, Morales R, Schwabenlander MD, Walsh DP, the NC1209: North American Interdisciplinary Chronic Wasting Disease Research Consortium Members . 2024. Chronic wasting disease: state of the science. Pathogens 13:138. doi: 10.3390/pathogens13020138 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Raymond GJ, Bossers A, Raymond LD, O’Rourke KI, McHolland LE, Bryant PK III, Miller MW, Williams ES, Smits M, Caughey B. 2000. Evidence of a molecular barrier limiting susceptibility of humans, cattle and sheep to chronic wasting disease. EMBO J 19:4425–4430. doi: 10.1093/emboj/19.17.4425 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Kong Q, Huang S, Zou W, Vanegas D, Wang M, Wu D, Yuan J, Zheng M, Bai H, Deng H, Chen K, Jenny AL, O’Rourke K, Belay ED, Schonberger LB, Petersen RB, Sy MS, Chen SG, Gambetti P. 2005. Chronic wasting disease of elk: transmissibility to humans examined by transgenic mouse models. J Neurosci 25:7944–7949. doi: 10.1523/JNEUROSCI.2467-05.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Kurt TD, Jiang L, Fernández-Borges N, Bett C, Liu J, Yang T, Spraker TR, Castilla J, Eisenberg D, Kong Q, Sigurdson CJ. 2015. Human prion protein sequence elements impede cross-species chronic wasting disease transmission. J Clin Invest 125:1485–1496. doi: 10.1172/JCI79408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Race Brent, Williams K, Orrú CD, Hughson AG, Lubke L, Chesebro B. 2018. Lack of transmission of chronic wasting disease to cynomolgus macaques. J Virol 92:e00550-18. doi: 10.1128/JVI.00550-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Race B, Williams K, Chesebro B. 2019. Transmission studies of chronic wasting disease to transgenic mice overexpressing human prion protein using the RT-QuIC assay. Vet Res 50:6. doi: 10.1186/s13567-019-0626-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Groveman BR, Williams K, Race B, Foliaki S, Thomas T, Hughson AG, Walters RO, Zou W, Haigh CL. 2024. Lack of transmission of chronic wasting disease prions to human cerebral organoids. Emerg Infect Dis 30:1193–1202. doi: 10.3201/eid3006.231568 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Hannaoui S, Zemlyankina I, Chang SC, Arifin MI, Béringue V, McKenzie D, Schatzl HM, Gilch S. 2022. Transmission of cervid prions to humanized mice demonstrates the zoonotic potential of CWD. Acta Neuropathol 144:767–784. doi: 10.1007/s00401-022-02482-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Wang Z, Qin K, Camacho MV, Cali I, Yuan J, Shen P, Greenlee J, Kong Q, Mastrianni JA, Zou WQ. 2021. Generation of human chronic wasting disease in transgenic mice. Acta Neuropathol Commun 9:158. doi: 10.1186/s40478-021-01262-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Heneka MT, van der Flier WM, Jessen F, Hoozemanns J, Thal DR, Boche D, Brosseron F, Teunissen C, Zetterberg H, Jacobs AH, et al. 2025. Neuroinflammation in Alzheimer disease. Nat Rev Immunol 25:321–352. doi: 10.1038/s41577-024-01104-7 [DOI] [PubMed] [Google Scholar]
  • 90. Molzahn C, Kuechler ER, Zemlyankina I, Nierves L, Ali T, Cole G, Wang J, Albu RF, Zhu M, Cashman NR, Gilch S, Karsan A, Lange PF, Gsponer J, Mayor T. 2023. Shift of the insoluble content of the proteome in the aging mouse brain. Proc Natl Acad Sci USA 120. doi: 10.1073/pnas.2310057120 [DOI] [Google Scholar]
  • 91. Zhang Y, Zhang Z, Tu C, Chen X, He R. 2025. Advanced glycation end products in disease development and potential interventions. Antioxidants (Basel) 14:492. doi: 10.3390/antiox14040492 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Chakraborty P, Zweckstetter M. 2023. Role of aberrant phase separation in pathological protein aggregation. Curr Opin Struct Biol 82:102678. doi: 10.1016/j.sbi.2023.102678 [DOI] [PubMed] [Google Scholar]
  • 93. Wake N, Weng SL, Zheng T, Wang SH, Kirilenko V, Mittal J, Fawzi NL. 2025. Expanding the molecular grammar of polar residues and arginine in FUS phase separation. Nat Chem Biol 21:1076–1088. doi: 10.1038/s41589-024-01828-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Silva JL, de Andrade GC, Petronilho EC, de Sousa GDS, Mota MF, Quarti J, Guedes-da-Silva FH, Ferretti GDS, Rangel LP, Vieira TCRG, Marques MA, de Oliveira GAP. 2025. Phase separation and prion-like aggregation of p53 family tumor suppressors: from protein evolution to cancer treatment. J Neurochem 169:e70055. doi: 10.1111/jnc.70055 [DOI] [PubMed] [Google Scholar]
  • 95. McLennan NF, Brennan PM, McNeill A, Davies I, Fotheringham A, Rennison KA, Ritchie D, Brannan F, Head MW, Ironside JW, Williams A, Bell JE. 2004. Prion protein accumulation and neuroprotection in hypoxic brain damage. Am J Pathol 165:227–235. doi: 10.1016/S0002-9440(10)63291-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Jeffrey M, McGovern G, Sisó S, González L. 2011. Cellular and sub-cellular pathology of animal prion diseases: relationship between morphological changes, accumulation of abnormal prion protein and clinical disease. Acta Neuropathol 121:113–134. doi: 10.1007/s00401-010-0700-3 [DOI] [PubMed] [Google Scholar]
  • 97. Chesebro B, Striebel J, Rangel A, Phillips K, Hughson A, Caughey B, Race B. 2015. Early generation of new PrPSc on blood vessels after brain microinjection of scrapie in mice. mBio 6:e01419-15. doi: 10.1128/mBio.01419-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Banani SF, Lee HO, Hyman AA, Rosen MK. 2017. Biomolecular condensates: organizers of cellular biochemistry. Nat Rev Mol Cell Biol 18:285–298. doi: 10.1038/nrm.2017.7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Ward A, Hollister JR, Choi YP, Race B, Williams K, Shoup DW, Moore RA, Priola SA. 2019. Altered distribution, aggregation, and protease resistance of cellular prion protein following intracranial inoculation. PLoS One 14:e0219457. doi: 10.1371/journal.pone.0219457 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Kamps J, Lin YH, Oliva R, Bader V, Winter R, Winklhofer KF, Tatzelt J. 2021. The N-terminal domain of the prion protein is required and sufficient for liquid-liquid phase separation: a crucial role of the Aβ-binding domain. J Biol Chem 297:100860. doi: 10.1016/j.jbc.2021.100860 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Long T, Lu Y, Ma Y, Song Y, Yi X, Chen X, Zhou M, Ma J, Chen J, Liu Z, Zhu F, Hu Z, Zhou Z, Li C, Hou FF, Zhang L, Chen Y, Nie J. 2025. Condensation of cellular prion protein promotes renal fibrosis through the TBK1-IRF3 signaling axis. Sci Transl Med 17:eadj9095. doi: 10.1126/scitranslmed.adj9095 [DOI] [PubMed] [Google Scholar]
  • 102. Tahira AC, Gomes MPB, Freire MH, Muxfeldt M, Prosdocimi F, Passos YM, Sena Amaral M, Felix Valadão LP, Rangel LP, Silva JL, Verjovski-Almeida S, Cordeiro Y. 2025. RNA-seq analyses reveal the relevance of RNAs involved in ribosomal complex to induce mammalian prion protein aggregation and phase separation in vitro. RNA Biol 22:1–16. doi: 10.1080/15476286.2025.2508107 [DOI] [Google Scholar]
  • 103. Roberts GW, Gentleman SM, Lynch A, Graham DI. 1991. Beta A4 amyloid protein deposition in brain after head trauma. Lancet 338:1422–1423. doi: 10.1016/0140-6736(91)92724-g [DOI] [PubMed] [Google Scholar]
  • 104. Fleminger S, Oliver DL, Lovestone S, Rabe-Hesketh S, Giora A. 2003. Head injury as a risk factor for Alzheimer’s disease: the evidence 10 years on; a partial replication. J Neurol Neurosurg Psychiatry 74:857–862. doi: 10.1136/jnnp.74.7.857 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Uryu K, Chen X-H, Martinez D, Browne KD, Johnson VE, Graham DI, Lee VM-Y, Trojanowski JQ, Smith DH. 2007. Multiple proteins implicated in neurodegenerative diseases accumulate in axons after brain trauma in humans. Exp Neurol 208:185–192. doi: 10.1016/j.expneurol.2007.06.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106. Jeffrey M, Scholes SFE, Martin S, McGovern G, Sisó S, González L. 2012. Increased immunohistochemical labelling for prion protein occurs in diverse neurological disorders of sheep: relevance for normal cellular PrP function. J Comp Pathol 147:46–54. doi: 10.1016/j.jcpa.2011.08.011 [DOI] [PubMed] [Google Scholar]
  • 107. Shorter J. 2019. Phase separation of RNA-binding proteins in physiology and disease: an introduction to the JBC Reviews thematic series. J Biol Chem 294:7113–7114. doi: 10.1074/jbc.REV119.007944 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Zbinden A, Pérez-Berlanga M, De Rossi P, Polymenidou M. 2020. Phase separation and neurodegenerative diseases: a disturbance in the force. Dev Cell 55:45–68. doi: 10.1016/j.devcel.2020.09.014 [DOI] [PubMed] [Google Scholar]
  • 109. Lu X, Lu J, Li S, Feng S, Wang Y, Cui L. 2024. The role of liquid-liquid phase separation in the accumulation of pathological proteins: new perspectives on the mechanism of neurodegenerative diseases. Aging Dis 16:769–786. doi: 10.14336/AD.2024.0209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Sabari BR, Hyman AA, Hnisz D. 2025. Functional specificity in biomolecular condensates revealed by genetic complementation. Nat Rev Genet 26:279–290. doi: 10.1038/s41576-024-00780-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Esiri MM, Carter J, Ironside JW. 2000. Prion protein immunoreactivity in brain samples from an unselected autopsy population: findings in 200 consecutive cases. Neuropathol Appl Neurobiol 26:273–284. doi: 10.1046/j.1365-2990.2000.00239.x [DOI] [PubMed] [Google Scholar]
  • 112. Yamaguchi K, Nakajima K, Ogi H, Goto Y. 2025. Mechanism of amyloid fibril formation triggered by breakdown of supersaturation. NPJ Biosensing 2. doi: 10.1038/s44328-025-00028-z [DOI] [Google Scholar]
  • 113. Das T, Zaidi FK, Farag M, Ruff KM, Mahendran TS, Singh A, Gui X, Messing J, Taylor JP, Banerjee PR, Pappu RV, Mittag T. 2025. Tunable metastability of condensates reconciles their dual roles in amyloid fibril formation. Mol Cell 85:2230–2245. doi: 10.1016/j.molcel.2025.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Farrer TJ, Moore JD, Chase M, Gale SD, Hedges DW. 2024. Infectious disease as a modifiable risk factor for dementia: a narrative review. Pathogens 13:974. doi: 10.3390/pathogens13110974 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Ghneim MH, Broderick M, Stein DM. 2024. Dementia and depression among older adults following traumatic brain injury. Adv Neurobiol 42:99–118. doi: 10.1007/978-3-031-69832-3_5 [DOI] [PubMed] [Google Scholar]
  • 116. Atterling Brolin K, Schaeffer E, Kuri A, Rumrich IK, Schumacher Schuh AF, Darweesh SKL, Kaasinen V, Tolppanen AM, Chahine LM, Noyce AJ. 2025. Environmental risk factors for parkinson's disease: a critical review and policy implications. Mov Disord 40:204–221. doi: 10.1002/mds.30067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117. Jones A, Ali MU, Mayhew A, Aryal K, Correia RH, Dash D, Manis DR, Rehman A, O’Connell ME, Taler V, Costa AP, Hogan DB, Wolfson C, Raina P, Griffith L. 2025. Environmental risk factors for all-cause dementia, Alzheimer’s disease dementia, vascular dementia, and mild cognitive impairment: an umbrella review and meta-analysis. Environ Res 270:121007. doi: 10.1016/j.envres.2025.121007 [DOI] [PubMed] [Google Scholar]
  • 118. Parker J, Moris JM, Goodman LC, Paidisetty VK, Vanegas V, Turner HA, Melgar D, Koh Y. 2025. A multifactorial lens on risk factors promoting the progression of Alzheimer’s disease. Brain Res 1846:149262. doi: 10.1016/j.brainres.2024.149262 [DOI] [PubMed] [Google Scholar]
  • 119. Hui EK, Mukadam N, Kohl G, Livingston G. 2025. Effect of diabetes medications on the risk of developing dementia, mild cognitive impairment, or cognitive decline: a systematic review and meta-analysis. J Alzheimers Dis 104:627–648. doi: 10.1177/13872877251319054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Khaliq AS, Kumar A, Khan M, Rodoshi ZN. 2025. Diabetes mellitus and cognitive decline: a systematic review exploring the link to dementia and neurodegenerative diseases. Cureus 17:e80415. doi: 10.7759/cureus.80415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Kordi R, Andrews TJ, Hicar MD. 2025. Infections, genetics, and Alzheimer’s disease: exploring the pathogenic factors for innovative therapies. Virology (Auckl) 607:110523. doi: 10.1016/j.virol.2025.110523 [DOI] [Google Scholar]
  • 122. LaCroix MS, Artikis E, Hitt BD, Beaver JD, Estill-Terpack S-J, Gleason K, Tamminga CA, Evers BM, White CL III, Caughey B, Diamond MI. 2024. Tau seeding without tauopathy. J Biol Chem 300:105545. doi: 10.1016/j.jbc.2023.105545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. Snow AD, Kisilevsky R, Stephens C, Anastassiades T. 1987. Characterization of tissue and plasma glycosaminoglycans during experimental AA amyloidosis and acute inflammation. Lab Invest 56:665–675. [PubMed] [Google Scholar]
  • 124. Caughey B, Raymond GJ. 1993. Sulfated polyanion inhibition of scrapie-associated PrP accumulation in cultured cells. J Virol 67:643–650. doi: 10.1128/jvi.67.2.643-650.1993 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Priola SA, Caughey B. 1994. Inhibition of scrapie-associated PrP accumulation: probing the role of glycosaminoglycans in amyloidogenesis. Mol Neurobiol 8:113–120. [DOI] [PubMed] [Google Scholar]
  • 126. Wong C, Xiong L-W, Horiuchi M, Raymond LD, Wehrly K, Chesebro B, Caughey B. 2001. Sulfated glycans and elevated temperature stimulate PrP(Sc)-dependent cell-free formation of protease-resistant prion protein. EMBO J 20:377–386. doi: 10.1093/emboj/20.3.377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Scheres SHW. 2020. Amyloid structure determination in RELION-3.1. Acta Crystallogr D Struct Biol 76:94–101. doi: 10.1107/S2059798319016577 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Scheres SHW, Ryskeldi-Falcon B, Goedert M. 2023. Molecular pathology of neurodegenerative diseases by cryo-EM of amyloids. Nature 621:701–710. doi: 10.1038/s41586-023-06437-2 [DOI] [PubMed] [Google Scholar]
  • 129. Tuttle MD, Comellas G, Nieuwkoop AJ, Covell DJ, Berthold DA, Kloepper KD, Courtney JM, Kim JK, Barclay AM, Kendall A, Wan W, Stubbs G, Schwieters CD, Lee VMY, George JM, Rienstra CM. 2016. Solid-state NMR structure of a pathogenic fibril of full-length human α-synuclein. Nat Struct Mol Biol 23:409–415. doi: 10.1038/nsmb.3194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Tycko R. 2025. The evolving role of solid state nuclear magnetic resonance methods in studies of amyloid fibrils. Curr Opin Struct Biol 92:103043. doi: 10.1016/j.sbi.2025.103043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Yang Y, Murzin AG, Peak-Chew S, Franco C, Garringer HJ, Newell KL, Ghetti B, Goedert M, Scheres SHW. 2023. Cryo-EM structures of Aβ40 filaments from the leptomeninges of individuals with Alzheimer’s disease and cerebral amyloid angiopathy. Acta Neuropathol Commun 11:191. doi: 10.1186/s40478-023-01694-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132. Kollmer M, Close W, Funk L, Rasmussen J, Bsoul A, Schierhorn A, Schmidt M, Sigurdson CJ, Jucker M, Fändrich M. 2019. Cryo-EM structure and polymorphism of Aβ amyloid fibrils purified from Alzheimer’s brain tissue. Nat Commun 10:4760. doi: 10.1038/s41467-019-12683-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Greenberg SM, Bacskai BJ, Hernandez-Guillamon M, Pruzin J, Sperling R, van Veluw SJ. 2020. Cerebral amyloid angiopathy and Alzheimer disease - one peptide, two pathways. Nat Rev Neurol 16:30–42. doi: 10.1038/s41582-019-0281-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Levy E, Carman MD, Fernandez-Madrid IJ, Power MD, Lieberburg I, van Duinen SG, Bots GT, Luyendijk W, Frangione B. 1990. Mutation of the Alzheimer’s disease amyloid gene in hereditary cerebral hemorrhage, Dutch type. Science 248:1124–1126. doi: 10.1126/science.2111584 [DOI] [PubMed] [Google Scholar]
  • 135. Bugiani O, Giaccone G, Rossi G, Mangieri M, Capobianco R, Morbin M, Mazzoleni G, Cupidi C, Marcon G, Giovagnoli A, Bizzi A, Di Fede G, Puoti G, Carella F, Salmaggi A, Romorini A, Patruno GM, Magoni M, Padovani A, Tagliavini F. 2010. Hereditary cerebral hemorrhage with amyloidosis associated with the E693K mutation of APP. Arch Neurol 67:987–995. doi: 10.1001/archneurol.2010.178 [DOI] [PubMed] [Google Scholar]
  • 136. Yang Y, Arseni D, Zhang W, Huang M, Lövestam S, Schweighauser M, Kotecha A, Murzin AG, Peak-Chew SY, Macdonald J, Lavenir I, Garringer HJ, Gelpi E, Newell KL, Kovacs GG, Vidal R, Ghetti B, Ryskeldi-Falcon B, Scheres SHW, Goedert M. 2022. Cryo-EM structures of amyloid-β 42 filaments from human brains. Science 375:167–172. doi: 10.1126/science.abm7285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Yang Y, Zhang W, Murzin AG, Schweighauser M, Huang M, Lövestam S, Peak-Chew SY, Saito T, Saido TC, Macdonald J, Lavenir I, Ghetti B, Graff C, Kumar A, Nordberg A, Goedert M, Scheres SHW. 2023. Cryo-EM structures of amyloid-β filaments with the Arctic mutation (E22G) from human and mouse brains. Acta Neuropathol 145:325–333. doi: 10.1007/s00401-022-02533-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Hoq MR, Fernandez A, Vago FS, Hallinan GI, Bharath SR, Li D, Ozcan KA, Garringer HJ, Jiang W, Vidal R, Ghetti B. 2024. Cryo-EM structures of cotton wool plaques’ amyloid β and of tau filaments in dominantly inherited Alzheimer disease. Acta Neuropathol 148:20. doi: 10.1007/s00401-024-02786-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139. Lee M, Yau WM, Louis JM, Tycko R. 2023. Structures of brain-derived 42-residue amyloid-β fibril polymorphs with unusual molecular conformations and intermolecular interactions. Proc Natl Acad Sci USA 120:e2218831120. doi: 10.1073/pnas.2218831120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Pfeiffer PB, Ugrina M, Schwierz N, Sigurdson CJ, Schmidt M, Fändrich M. 2024. Cryo-EM analysis of the effect of seeding with brain-derived Aβ amyloid fibrils. J Mol Biol 436:168422. doi: 10.1016/j.jmb.2023.168422 [DOI] [PubMed] [Google Scholar]
  • 141. Shi Y, Zhang W, Yang Y, Murzin AG, Falcon B, Kotecha A, van Beers M, Tarutani A, Kametani F, Garringer HJ, et al. 2021. Structure-based classification of tauopathies. Nature 598:359–363. doi: 10.1038/s41586-021-03911-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Kim C, Haldiman T, Kang S-G, Hromadkova L, Han ZZ, Chen W, Lissemore F, Lerner A, de Silva R, Cohen ML, Westaway D, Safar JG. 2022. Distinct populations of highly potent TAU seed conformers in rapidly progressing Alzheimer’s disease. Sci Transl Med 14:eabg0253. doi: 10.1126/scitranslmed.abg0253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 143. Hallinan GI, Hoq MR, Ghosh M, Vago FS, Fernandez A, Garringer HJ, Vidal R, Jiang W, Ghetti B. 2021. Structure of Tau filaments in Prion protein amyloidoses. Acta Neuropathol 142:227–241. doi: 10.1007/s00401-021-02336-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144. Lövestam S, Li D, Wagstaff JL, Kotecha A, Kimanius D, McLaughlin SH, Murzin AG, Freund SMV, Goedert M, Scheres SHW. 2024. Disease-specific tau filaments assemble via polymorphic intermediates. Nature 625:119–125. doi: 10.1038/s41586-023-06788-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145. Schweighauser M, Shi Y, Tarutani A, Kametani F, Murzin AG, Ghetti B, Matsubara T, Tomita T, Ando T, Hasegawa K, Murayama S, Yoshida M, Hasegawa M, Scheres SHW, Goedert M. 2020. Structures of α-synuclein filaments from multiple system atrophy. Nature 585:464–469. doi: 10.1038/s41586-020-2317-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146. Yang Yang, Garringer HJ, Shi Y, Lövestam S, Peak-Chew S, Zhang X, Kotecha A, Bacioglu M, Koto A, Takao M, Spillantini MG, Ghetti B, Vidal R, Murzin AG, Scheres SHW, Goedert M. 2023. New SNCA mutation and structures of α-synuclein filaments from juvenile-onset synucleinopathy. Acta Neuropathol 145:561–572. doi: 10.1007/s00401-023-02550-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Sanchez JC, Pierson JA, Borcik CG, Rienstra CM, Wright ER. 2025. High-resolution Cryo-EM structure determination of a-synuclein-a prototypical amyloid fibril. Bio Protoc 15:e5171. doi: 10.21769/BioProtoc.5171 [DOI] [Google Scholar]
  • 148. Fitzpatrick AWP, Falcon B, He S, Murzin AG, Murshudov G, Garringer HJ, Crowther RA, Ghetti B, Goedert M, Scheres SHW. 2017. Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 547:185–190. doi: 10.1038/nature23002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149. Falcon B, Zivanov J, Zhang W, Murzin AG, Garringer HJ, Vidal R, Crowther RA, Newell KL, Ghetti B, Goedert M, Scheres SHW. 2019. Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules. Nature 568:420–423. doi: 10.1038/s41586-019-1026-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150. Zhang W, Tarutani A, Newell KL, Murzin AG, Matsubara T, Falcon B, Vidal R, Garringer HJ, Shi Y, Ikeuchi T, Murayama S, Ghetti B, Hasegawa M, Goedert M, Scheres SHW. 2020. Novel tau filament fold in corticobasal degeneration. Nature 580:283–287. doi: 10.1038/s41586-020-2043-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151. Fernandez A, Hoq MR, Hallinan GI, Li D, Bharath SR, Vago FS, Zhang X, Ozcan KA, Newell KL, Garringer HJ, Jiang W, Ghetti B, Vidal R. 2024. Cryo-EM structures of amyloid-β and tau filaments in Down syndrome. Nat Struct Mol Biol 31:903–909. doi: 10.1038/s41594-024-01252-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152. Qi C, Hasegawa M, Takao M, Sakai M, Sasaki M, Mizutani M, Akagi A, Iwasaki Y, Miyahara H, Yoshida M, Scheres SHW, Goedert M. 2023. Identical tau filaments in subacute sclerosing panencephalitis and chronic traumatic encephalopathy. Acta Neuropathol Commun 11:74. doi: 10.1186/s40478-023-01565-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153. Alam P, Hoyt F, Artikis E, Soukup J, Hughson AG, Schwartz CL, Barbian K, Miller MW, Race B, Caughey B. 2024. Cryo-EM structure of a natural prion: chronic wasting disease fibrils from deer. Acta Neuropathol 148:56. doi: 10.1007/s00401-024-02813-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154. Hallinan GI, Ozcan KA, Hoq MR, Cracco L, Vago FS, Bharath SR, Li D, Jacobsen M, Doud EH, Mosley AL, Fernandez A, Garringer HJ, Jiang W, Ghetti B, Vidal R. 2022. Cryo-EM structures of prion protein filaments from Gerstmann–Sträussler–Scheinker disease. Acta Neuropathol 144:509–520. doi: 10.1007/s00401-022-02461-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155. Manka SW, Wenborn A, Betts J, Joiner S, Saibil HR, Collinge J, Wadsworth JDF. 2023. A structural basis for prion strain diversity. Nat Chem Biol 19:607–613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156. Yang Y, Shi Y, Schweighauser M, Zhang X, Kotecha A, Murzin AG, Garringer HJ, Cullinane PW, Saito Y, Foroud T, Warner TT, Hasegawa K, Vidal R, Murayama S, Revesz T, Ghetti B, Hasegawa M, Lashley T, Scheres SHW, Goedert M. 2022. Structures of α-synuclein filaments from human brains with lewy pathology. Nature 610:791–795. doi: 10.1038/s41586-022-05319-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157. Arseni D, Hasegawa M, Murzin AG, Kametani F, Arai M, Yoshida M, Ryskeldi-Falcon B. 2022. Structure of pathological TDP-43 filaments from ALS with FTLD. Nature 601:139–143. doi: 10.1038/s41586-021-04199-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158. Arseni D, Nonaka T, Jacobsen MH, Murzin AG, Cracco L, Peak-Chew SY, Garringer HJ, Kawakami I, Suzuki H, Onaya M, Saito Y, Murayama S, Geula C, Vidal R, Newell KL, Mesulam M, Ghetti B, Hasegawa M, Ryskeldi-Falcon B. 2024. Heteromeric amyloid filaments of ANXA11 and TDP-43 in FTLD-TDP type C. Nature 634:662–668. doi: 10.1038/s41586-024-08024-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159. Kumar ST, Nazarov S, Porta S, Maharjan N, Cendrowska U, Kabani M, Finamore F, Xu Y, Lee VM-Y, Lashuel HA. 2023. Seeding the aggregation of TDP-43 requires post-fibrillization proteolytic cleavage. Nat Neurosci 26:983–996. doi: 10.1038/s41593-023-01341-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160. Wang LQ, Ma Y, Zhang MY, Yuan HY, Li XN, Xia W, Zhao K, Huang X, Chen J, Li D, Zou L, Wang Z, Le W, Liu C, Liang Y. 2024. Amyloid fibril structures and ferroptosis activation induced by ALS-causing SOD1 mutations. Sci Adv 10:eado8499. doi: 10.1126/sciadv.ado8499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161. Wang LQ, Ma Y, Yuan HY, Zhao K, Zhang MY, Wang Q, Huang X, Xu WC, Dai B, Chen J, Li D, Zhang D, Wang Z, Zou L, Yin P, Liu C, Liang Y. 2022. Cryo-EM structure of an amyloid fibril formed by full-length human SOD1 reveals its conformational conversion. Nat Commun 13:3491. doi: 10.1038/s41467-022-31240-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162. Cobb NJ, Sönnichsen FD, McHaourab H, Surewicz WK. 2007. Molecular architecture of human prion protein amyloid: a parallel, in-register beta-structure. Proc Natl Acad Sci U S A 104:18946–18951. doi: 10.1073/pnas.0706522104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163. Tycko R, Savtchenko R, Ostapchenko VG, Makarava N, Baskakov IV. 2010. The α-helical C-terminal domain of full-length recombinant PrP converts to an in-register parallel β-sheet structure in PrP fibrils: evidence from solid state nuclear magnetic resonance. Biochemistry 49:9488–9497. doi: 10.1021/bi1013134 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164. Groveman BR, Dolan MA, Taubner LM, Kraus A, Wickner RB, Caughey B. 2014. Parallel in-register intermolecular β-sheet architectures for prion-seeded prion protein (PrP) amyloids. J Biol Chem 289:24129–24142. doi: 10.1074/jbc.M114.578344 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165. Theint T, Xia Y, Nadaud PS, Mukhopadhyay D, Schwieters CD, Surewicz K, Surewicz WK, Jaroniec CP. 2018. Structural studies of amyloid fibrils by paramagnetic solid-state nuclear magnetic resonance spectroscopy. J Am Chem Soc 140:13161–13166. doi: 10.1021/jacs.8b06758 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166. Wang LQ, Zhao K, Yuan HY, Wang Q, Guan Z, Tao J, Li XN, Sun Y, Yi CW, Chen J, Li D, Zhang D, Yin P, Liu C, Liang Y. 2020. Cryo-EM structure of an amyloid fibril formed by full-length human prion protein. Nat Struct Mol Biol 27:598–602. doi: 10.1038/s41594-020-0441-5 [DOI] [PubMed] [Google Scholar]
  • 167. Wang LQ, Zhao K, Yuan HY, Li XN, Dang HB, Ma Y, Wang Q, Wang C, Sun Y, Chen J, Li D, Zhang D, Yin P, Liu C, Liang Y. 2021. Genetic prion disease-related mutation E196K displays a novel amyloid fibril structure revealed by cryo-EM. Sci Adv 7:eabg9676. doi: 10.1126/sciadv.abg9676 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168. Glynn C, Sawaya MR, Ge P, Gallagher-Jones M, Short CW, Bowman R, Apostol M, Zhou ZH, Eisenberg DS, Rodriguez JA. 2020. Cryo-EM structure of a human prion fibril with a hydrophobic, protease-resistant core. Nat Struct Mol Biol 27:417–423. doi: 10.1038/s41594-020-0403-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169. Manka SW, Zhang W, Wenborn A, Betts J, Joiner S, Saibil HR, Collinge J, Wadsworth JDF. 2021. 2.7 Å cryo-EM structure of ex vivo RML prion fibrils. Biochemistry. doi: 10.1101/2021.12.13.472424 [DOI] [Google Scholar]
  • 170. Telling GC, Parchi P, DeArmond SJ, Cortelli P, Montagna P, Gabizon R, Mastrianni J, Lugaresi E, Gambetti P, Prusiner SB. 1996. Evidence for the conformation of the pathologic isoform of the prion protein enciphering and propagating prion diversity. Science 274:2079–2082. doi: 10.1126/science.274.5295.2079 [DOI] [PubMed] [Google Scholar]
  • 171. Caughey B, Raymond GJ, Bessen RA. 1998. Strain-dependent differences in beta-sheet conformations of abnormal prion protein. J Biol Chem 273:32230–32235. doi: 10.1074/jbc.273.48.32230 [DOI] [PubMed] [Google Scholar]
  • 172. Safar J, Wille H, Itri V, Groth D, Serban H, Torchia M, Cohen FE, Prusiner SB. 1998. Eight prion strains have PrP(Sc) molecules with different conformations. Nat Med 4:1157–1165. doi: 10.1038/2654 [DOI] [PubMed] [Google Scholar]
  • 173. Kitamoto T, Iizuka R, Tateishi J. 1993. An amber mutation of prion protein in gerstmann-sträussler syndrome with mutant PrP plaques. Biochem Biophys Res Commun 192:525–531. doi: 10.1006/bbrc.1993.1447 [DOI] [PubMed] [Google Scholar]
  • 174. Ghetti B, Piccardo P, Spillantini MG, Ichimiya Y, Porro M, Perini F, Kitamoto T, Tateishi J, Seiler C, Frangione B, Bugiani O, Giaccone G, Prelli F, Goedert M, Dlouhy SR, Tagliavini F. 1996. Vascular variant of prion protein cerebral amyloidosis with tau-positive neurofibrillary tangles: the phenotype of the stop codon 145 mutation in PRNP. Proc Natl Acad Sci USA 93:744–748. doi: 10.1073/pnas.93.2.744 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175. Li Q, Jaroniec CP, Surewicz WK. 2021. Cryo-EM structure of disease-related prion fibrils provides insights into seeding barriers. Biophysics. doi: 10.1101/2021.08.10.455830 [DOI]
  • 176. Choi JK, Cali I, Surewicz K, Kong Q, Gambetti P, Surewicz WK. 2016. Amyloid fibrils from the N-terminal prion protein fragment are infectious. Proc Natl Acad Sci U S A 113:13851–13856. doi: 10.1073/pnas.1610716113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177. Groveman BR, Raymond GJ, Campbell KJ, Race B, Raymond LD, Hughson AG, Orrú CD, Kraus A, Phillips K, Caughey B. 2017. Role of the central lysine cluster and scrapie templating in the transmissibility of synthetic prion protein aggregates. PLoS Pathog 13:e1006623. doi: 10.1371/journal.ppat.1006623 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178. Wang F, Wang X, Orrú CD, Groveman BR, Surewicz K, Abskharon R, Imamura M, Yokoyama T, Kim Y-S, Vander Stel KJ, Sinniah K, Priola SA, Surewicz WK, Caughey B, Ma J. 2017. Self-propagating, protease-resistant, recombinant prion protein conformers with or without in vivo pathogenicity. PLoS Pathog 13:e1006491. doi: 10.1371/journal.ppat.1006491 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179. Kocisko DA, Priola SA, Raymond GJ, Chesebro B, Lansbury PT Jr, Caughey B. 1995. Species specificity in the cell-free conversion of prion protein to protease-resistant forms: a model for the scrapie species barrier. Proc Natl Acad Sci USA 92:3923–3927. doi: 10.1073/pnas.92.9.3923 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180. Priola SA, Chesebro B. 1995. A single hamster PrP amino acid blocks conversion to protease-resistant PrP in scrapie-infected mouse neuroblastoma cells. J Virol 69:7754–7758. doi: 10.1128/JVI.69.12.7754-7758.1995 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181. Bossers A, Belt PBGM, Raymond GJ, Caughey B, de Vries R, Smits MA. 1997. Scrapie susceptibility-linked polymorphisms modulate the in vitro conversion of sheep prion protein to protease-resistant forms. Proc Natl Acad Sci U S A 94:4931–4936. doi: 10.1073/pnas.94.10.4931 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182. Raymond GJ, Hope J, Kocisko DA, Priola SA, Raymond LD, Bossers A, Ironside J, Will RG, Chen SG, Petersen RB, Gambetti P, Rubenstein R, Smits MA, Lansbury PT, Caughey B. 1997. Molecular assessment of the potential transmissibilities of BSE and scrapie to humans. Nature 388:285–288. doi: 10.1038/40876 [DOI] [PubMed] [Google Scholar]
  • 183. Goldmann W, Hunter N, Smith G, Foster J, Hope J. 1994. PrP genotype and agent effects in scrapie: change in allelic interaction with different isolates of agent in sheep, a natural host of scrapie. J Gen Virol 75 ( Pt 5):989–995. doi: 10.1099/0022-1317-75-5-989 [DOI] [PubMed] [Google Scholar]
  • 184. Scott M, Groth D, Foster D, Torchia M, Yang SL, DeArmond SJ, Prusiner SB. 1993. Propagation of prions with artificial properties in transgenic mice expressing chimeric PrP genes. Cell 73:979–988. doi: 10.1016/0092-8674(93)90275-u [DOI] [PubMed] [Google Scholar]
  • 185. Priola SA, Chabry J, Chan K. 2001. Efficient conversion of normal prion protein (PrP) by abnormal hamster PrP is determined by homology at amino acid residue 155. J Virol 75:4673–4680. doi: 10.1128/JVI.75.10.4673-4680.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 186. Mead S, Poulter M, Uphill J, Beck J, Whitfield J, Webb TEF, Campbell T, Adamson G, Deriziotis P, Tabrizi SJ, Hummerich H, Verzilli C, Alpers MP, Whittaker JC, Collinge J. 2009. Genetic risk factors for variant Creutzfeldt-Jakob disease: a genome-wide association study. Lancet Neurol 8:57–66. doi: 10.1016/S1474-4422(08)70265-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187. Asante EA, Smidak M, Grimshaw A, Houghton R, Tomlinson A, Jeelani A, Jakubcova T, Hamdan S, Richard-Londt A, Linehan JM, Brandner S, Alpers M, Whitfield J, Mead S, Wadsworth JDF, Collinge J. 2015. A naturally occurring variant of the human prion protein completely prevents prion disease. Nature 522:478–481. doi: 10.1038/nature14510 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 188. Kurt TD, Bett C, Fernández-Borges N, Joshi-Barr S, Hornemann S, Rülicke T, Castilla J, Wüthrich K, Aguzzi A, Sigurdson CJ. 2014. Prion transmission prevented by modifying the β2-α2 loop structure of host PrPC. J Neurosci 34:1022–1027. doi: 10.1523/JNEUROSCI.4636-13.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 189. Bossers A, Raymond GJ, Caughey B, de Vries R, Smits MA. 1997. Scrapie susceptibility-linked polymorphisms modulate the in vitro conversion of sheep prion protein to protease-resistant forms. Proc Natl Acad Sci U S A 94:4931–4936. doi: 10.1073/pnas.94.10.4931 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 190. Artikis E, Kraus A, Caughey B. 2022. Structural biology of ex vivo mammalian prions. J Biol Chem 298:102181. doi: 10.1016/j.jbc.2022.102181 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191. Manka SW. 2025. Breaking the mould: how the first structure of a deer prion suggests the framework for interspecies strain diversity and transmission barriers. J Neurochem 169:e70050. doi: 10.1111/jnc.70050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 192. Mead S, Lloyd S, Collinge J. 2019. Genetic factors in mammalian prion diseases. Annu Rev Genet 53:117–147. doi: 10.1146/annurev-genet-120213-092352 [DOI] [PubMed] [Google Scholar]
  • 193. Dobson CM. 2003. Protein folding and misfolding. Nature 426:884–890. doi: 10.1038/nature02261 [DOI] [PubMed] [Google Scholar]
  • 194. Knowles TPJ, Buehler MJ. 2011. Nanomechanics of functional and pathological amyloid materials. Nat Nanotechnol 6:469–479. doi: 10.1038/nnano.2011.102 [DOI] [PubMed] [Google Scholar]
  • 195. Marrero-Winkens C, Sankaran C, Schätzl HM. 2020. From seeds to fibrils and back: fragmentation as an overlooked step in the propagation of prions and prion-like proteins. Biomolecules 10:1305. doi: 10.3390/biom10091305 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196. Meisl G, Kurt T, Condado-Morales I, Bett C, Sorce S, Nuvolone M, Michaels TCT, Heinzer D, Avar M, Cohen SIA, Hornemann S, Aguzzi A, Dobson CM, Sigurdson CJ, Knowles TPJ. 2021. Scaling analysis reveals the mechanism and rates of prion replication in vivo. Nat Struct Mol Biol 28:365–372. doi: 10.1038/s41594-021-00565-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197. Carare RO, Bernardes-Silva M, Newman TA, Page AM, Nicoll JAR, Perry VH, Weller RO. 2008. Solutes, but not cells, drain from the brain parenchyma along basement membranes of capillaries and arteries: significance for cerebral amyloid angiopathy and neuroimmunology. Neuropathol Appl Neurobiol 34:131–144. doi: 10.1111/j.1365-2990.2007.00926.x [DOI] [PubMed] [Google Scholar]
  • 198. Rangel A, Race B, Striebel J, Chesebro B. 2013. Non-amyloid and amyloid prion protein deposits in prion-infected mice differ in blockage of interstitial brain fluid. Neuropathol Appl Neurobiol 39:217–230. doi: 10.1111/j.1365-2990.2012.01303.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199. Chesebro B, Race B, Meade-White K, Lacasse R, Race R, Klingeborn M, Striebel J, Dorward D, McGovern G, Jeffrey M. 2010. Fatal transmissible amyloid encephalopathy: a new type of prion disease associated with lack of prion protein membrane anchoring. PLoS Pathog 6:e1000800. doi: 10.1371/journal.ppat.1000800 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200. Vassileff N, Cheng L, Hill AF. 2020. Extracellular vesicles - propagators of neuropathology and sources of potential biomarkers and therapeutics for neurodegenerative diseases. J Cell Sci 133:jcs243139. doi: 10.1242/jcs.243139 [DOI] [PubMed] [Google Scholar]
  • 201. Soukup J, Moško T, Kereïche S, Holada K. 2023. Large extracellular vesicles transfer more prions and infect cell culture better than small extracellular vesicles. Biochem Biophys Res Commun 687:149208. doi: 10.1016/j.bbrc.2023.149208 [DOI] [PubMed] [Google Scholar]
  • 202. Xu Z, Paparcone R, Buehler MJ. 2010. Alzheimer’s abeta(1-40) amyloid fibrils feature size-dependent mechanical properties. Biophys J 98:2053–2062. doi: 10.1016/j.bpj.2009.12.4317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203. Solar M, Buehler MJ. 2014. Tensile deformation and failure of amyloid and amyloid-like protein fibrils. Nanotechnology 25:105703. doi: 10.1088/0957-4484/25/10/105703 [DOI] [PubMed] [Google Scholar]
  • 204. Artikis E, Roy A, Caughey B. 2025. How short is too short for amyloid fibrils?: molecular dynamics of oligomers of infectious prion core structures. J Biol Chem 301:110390. doi: 10.1016/j.jbc.2025.110390 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 205. Bohl J, Moudjou M, Herzog L, Reine F, Sailer F, Klute H, Halgand F, Rest GV der, Boulard Y, Béringue V, Igel A, Rezaei H. 2023. The smallest infectious substructure encoding the prion strain structural determinant revealed by spontaneous dissociation of misfolded prion protein assemblies. J Mol Biol 435:168280. doi: 10.1016/j.jmb.2023.168280 [DOI] [PubMed] [Google Scholar]
  • 206. Shoup D, Hughson AG, Race B, Alam P, Dulebohn D, Priola SA, Caughey B. 2025. Evidence against efficient spontaneous disassembly of prions into small oligomers. J Biol Chem 301:110411. doi: 10.1016/j.jbc.2025.110411 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207. Caughey B, Baron GS, Chesebro B, Jeffrey M. 2009. Getting a grip on prions: oligomers, amyloids, and pathological membrane interactions. Annu Rev Biochem 78:177–204. doi: 10.1146/annurev.biochem.78.082907.145410 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 208. Park KW, Eun Kim G, Morales R, Moda F, Moreno-Gonzalez I, Concha-Marambio L, Lee AS, Hetz C, Soto C. 2017. The endoplasmic reticulum chaperone GRP78/BiP modulates prion propagation in vitro and in vivo. Sci Rep 7:44723. doi: 10.1038/srep44723 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209. Thackray AM, Lam B, McNulty EE, Nalls AV, Mathiason CK, Magadi SS, Jackson WS, Andréoletti O, Marrero-Winkens C, Schätzl H, Bujdoso R. 2022. Clearance of variant Creutzfeldt-Jakob disease prions in vivo by the Hsp70 disaggregase system. Brain 145:3236–3249. doi: 10.1093/brain/awac144 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 210. Shoup D, Priola SA. 2024. Grp78 destabilization of infectious prions is strain-specific and modified by multiple factors including accessory chaperones and pH. J Biol Chem 300:107346. doi: 10.1016/j.jbc.2024.107346 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211. Shoup D, Priola SA. 2025. Chaperone-mediated disaggregation of infectious prions releases particles that seed new prion formation in a strain-specific manner. J Biol Chem 301:108062. doi: 10.1016/j.jbc.2024.108062 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212. Saha I, Yuste-Checa P, Da Silva Padilha M, Guo Q, Körner R, Holthusen H, Trinkaus VA, Dudanova I, Fernández-Busnadiego R, Baumeister W, Sanders DW, Gautam S, Diamond MI, Hartl FU, Hipp MS. 2023. The AAA+ chaperone VCP disaggregates Tau fibrils and generates aggregate seeds in a cellular system. Nat Commun 14:560. doi: 10.1038/s41467-023-36058-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 213. Shen C-HH, Komi Y, Nakagawa Y, Kamatari YO, Nomura T, Kimura H, Shida T, Burke J, Tamai S, Ishida Y, Tanaka M. 2024. Exposed Hsp70-binding site impacts yeast Sup35 prion disaggregation and propagation. Proc Natl Acad Sci U S A 121:e2318162121. doi: 10.1073/pnas.2318162121 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214. Tittelmeier J, Sandhof CA, Ries HM, Druffel-Augustin S, Mogk A, Bukau B, Nussbaum-Krammer C. 2020. The HSP110/HSP70 disaggregation system generates spreading-competent toxic α-synuclein species. EMBO J 39:e103954. doi: 10.15252/embj.2019103954 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 215. van der Kamp MW, Daggett V. 2010. Influence of pH on the human prion protein: insights into the early steps of misfolding. Biophys J 99:2289–2298. doi: 10.1016/j.bpj.2010.07.063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 216. Collinge J, Clarke AR. 2007. A general model of prion strains and their pathogenicity. Science 318:930–936. doi: 10.1126/science.1138718 [DOI] [PubMed] [Google Scholar]
  • 217. Head MW, Bunn TJR, Bishop MT, McLoughlin V, Lowrie S, McKimmie CS, Williams MC, McCardle L, MacKenzie J, Knight R, Will RG, Ironside JW. 2004. Prion protein heterogeneity in sporadic but not variant Creutzfeldt-Jakob disease: UK cases 1991-2002. Ann Neurol 55:851–859. doi: 10.1002/ana.20127 [DOI] [PubMed] [Google Scholar]
  • 218. Polymenidou M, Stoeck K, Glatzel M, Vey M, Bellon A, Aguzzi A. 2005. Coexistence of multiple PrPSc types in individuals with Creutzfeldt-Jakob disease. Lancet Neurol 4:805–814. doi: 10.1016/S1474-4422(05)70225-8 [DOI] [PubMed] [Google Scholar]
  • 219. Puoti G, Giaccone G, Rossi G, Canciani B, Bugiani O, Tagliavini F. 1999. Sporadic Creutzfeldt-Jakob disease: co-occurrence of different types of PrP Sc in the same brain. Neurology (ECronicon) 53:2173–2173. doi: 10.1212/WNL.53.9.2173 [DOI] [Google Scholar]
  • 220. Schoch G, Seeger H, Bogousslavsky J, Tolnay M, Janzer RC, Aguzzi A, Glatzel M. 2006. Analysis of prion strains by PrPSc profiling in sporadic Creutzfeldt-Jakob disease. PLoS Med 3:e14. doi: 10.1371/journal.pmed.0030014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221. Notari S, Capellari S, Langeveld J, Giese A, Strammiello R, Gambetti P, Kretzschmar HA, Parchi P. 2007. A refined method for molecular typing reveals that co-occurrence of PrP(Sc) types in Creutzfeldt-Jakob disease is not the rule. Lab Invest 87:1103–1112. doi: 10.1038/labinvest.3700676 [DOI] [PubMed] [Google Scholar]
  • 222. Ward A, Hollister JR, McNally K, Ritchie DL, Zanusso G, Priola SA. 2020. Transmission characteristics of heterozygous cases of Creutzfeldt-Jakob disease with variable abnormal prion protein allotypes. Acta Neuropathol Commun 8:83. doi: 10.1186/s40478-020-00958-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223. Bartz JC. 2016. Prion strain diversity. Cold Spring Harb Perspect Med 6:a024349. doi: 10.1101/cshperspect.a024349 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224. Wickner RB, Edskes HK, Bateman DA, Kelly AC, Gorkovskiy A, Dayani Y, Zhou A. 2014. Amyloid diseases of yeast: prions are proteins acting as genes. Essays Biochem 56:193–205. doi: 10.1042/bse0560193 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 225. Bessen RA, Marsh RF. 1992. Biochemical and physical properties of the prion protein from two strains of the transmissible mink encephalopathy agent. J Virol 66:2096–2101. doi: 10.1128/jvi.66.4.2096-2101.1992 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226. Kaufman SK, Sanders DW, Thomas TL, Ruchinskas AJ, Vaquer-Alicea J, Sharma AM, Miller TM, Diamond MI. 2016. Tau prion strains dictate patterns of cell pathology, progression rate, and regional vulnerability In Vivo. Neuron 92:796–812. doi: 10.1016/j.neuron.2016.09.055 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227. Bartz JC, Bessen RA, McKenzie D, Marsh RF, Aiken JM. 2000. Adaptation and selection of prion protein strain conformations following interspecies transmission of transmissible mink encephalopathy. J Virol 74:5542–5547. doi: 10.1128/JVI.74.12.5542-5547.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 228. Raymond GJ, Raymond LD, Meade-White KD, Hughson AG, Favara C, Gardner D, Williams ES, Miller MW, Race RE, Caughey B. 2007. Transmission and adaptation of chronic wasting disease to hamsters and transgenic mice: evidence for strains. J Virol 81:4305–4314. doi: 10.1128/JVI.02474-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229. Bian J, Kim S, Kane SJ, Crowell J, Sun JL, Christiansen J, Saijo E, Moreno JA, DiLisio J, Burnett E, Pritzkow S, Gorski D, Soto C, Kreeger TJ, Balachandran A, Mitchell G, Miller MW, Nonno R, Vikøren T, Våge J, Madslien K, Tran L, Vuong TT, Benestad SL, Telling GC. 2021. Adaptive selection of a prion strain conformer corresponding to established North American CWD during propagation of novel emergent Norwegian strains in mice expressing elk or deer prion protein. PLoS Pathog 17:e1009748. doi: 10.1371/journal.ppat.1009748 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230. Woerman AL, Bartz JC. 2024. Effect of host and strain factors on α-synuclein prion pathogenesis. Trends Neurosci 47:538–550. doi: 10.1016/j.tins.2024.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231. Li J, Browning S, Mahal SP, Oelschlegel AM, Weissmann C. 2010. Darwinian evolution of prions in cell culture. Science 327:869–872. doi: 10.1126/science.1183218 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232. Priola SA. 2018. Cell biology of prion infection. Handb Clin Neurol 153:45–68. doi: 10.1016/B978-0-444-63945-5.00003-9 [DOI] [PubMed] [Google Scholar]
  • 233. Choi YP, Priola SA. 2013. A specific population of abnormal prion protein aggregates is preferentially taken up by cells and disaggregated in a strain-dependent manner. J Virol 87:11552–11561. doi: 10.1128/JVI.01484-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 234. Shoup D, Priola SA. 2021. The size and stability of infectious prion aggregates fluctuate dynamically during cellular uptake and disaggregation. Biochemistry 60:398–411. [DOI] [PubMed] [Google Scholar]
  • 235. Mayer-Sonnenfeld T, Avrahami D, Friedman-Levi Y, Gabizon R. 2008. Chemically induced accumulation of GAGs delays PrP(Sc) clearance but prolongs prion disease incubation time. Cell Mol Neurobiol 28:1005–1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 236. Shoup D, Priola SA. 2023. Full-length prion protein incorporated into prion aggregates is a marker for prion strain-specific destabilization of aggregate structure following cellular uptake. J Biochem 174:165–181. doi: 10.1093/jb/mvad032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 237. Choi YP, Head MW, Ironside JW, Priola SA. 2014. Uptake and degradation of protease-sensitive and -resistant forms of abnormal human prion protein aggregates by human astrocytes. Am J Pathol 184:3299–3307. doi: 10.1016/j.ajpath.2014.08.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 238. Kristiansen M, Deriziotis P, Dimcheff DE, Jackson GS, Ovaa H, Naumann H, Clarke AR, van Leeuwen FWB, Menéndez-Benito V, Dantuma NP, Portis JL, Collinge J, Tabrizi SJ. 2007. Disease-associated prion protein oligomers inhibit the 26S proteasome. Mol Cell 26:175–188. doi: 10.1016/j.molcel.2007.04.001 [DOI] [PubMed] [Google Scholar]
  • 239. Elhelaly AE, Inoshima Y, Ishiguro N. 2013. Characterization of early transient accumulation of PrP(Sc) in immune cells. Biochem Biophys Res Commun 439:340–345. doi: 10.1016/j.bbrc.2013.08.085 [DOI] [PubMed] [Google Scholar]
  • 240. Luhr KM, Nordström EK, Löw P, Ljunggren H-G, Taraboulos A, Kristensson K. 2004. Scrapie protein degradation by cysteine proteases in CD11c+ dendritic cells and GT1-1 neuronal cells. J Virol 78:4776–4782. doi: 10.1128/jvi.78.9.4776-4782.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 241. Sassa Y, Yamasaki T, Horiuchi M, Inoshima Y, Ishiguro N. 2010. The effects of lysosomal and proteasomal inhibitors on abnormal forms of prion protein degradation in murine macrophages. Microbiol Immunol 54:763–768. doi: 10.1111/j.1348-0421.2010.00272.x [DOI] [PubMed] [Google Scholar]
  • 242. Marzo L, Marijanovic Z, Browman D, Chamoun Z, Caputo A, Zurzolo C. 2013. 4-hydroxytamoxifen leads to PrPSc clearance by conveying both PrPC and PrPSc to lysosomes independently of autophagy. J Cell Sci 126:1345–1354. doi: 10.1242/jcs.114801 [DOI] [PubMed] [Google Scholar]
  • 243. Luhr KM, Nordström EK, Löw P, Kristensson K. 2004. Cathepsin B and L are involved in degradation of prions in GT1-1 neuronal cells. Neuroreport 15:1663–1667. doi: 10.1097/01.wnr.0000134931.81690.34 [DOI] [PubMed] [Google Scholar]
  • 244. Goold R, McKinnon C, Rabbanian S, Collinge J, Schiavo G, Tabrizi SJ. 2013. Alternative fates of newly formed PrPSc upon prion conversion on the plasma membrane. J Cell Sci 126:3552–3562. doi: 10.1242/jcs.120477 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 245. Yamasaki T, Baron GS, Suzuki A, Hasebe R, Horiuchi M. 2014. Characterization of intracellular dynamics of inoculated PrP-res and newly generated PrP(Sc) during early stage prion infection in Neuro2a cells. Virology (Auckl) 450–451:324–335. doi: 10.1016/j.virol.2013.11.007 [DOI] [Google Scholar]
  • 246. Nunziante M, Ackermann K, Dietrich K, Wolf H, Gädtke L, Gilch S, Vorberg I, Groschup M, Schätzl HM. 2011. Proteasomal dysfunction and endoplasmic reticulum stress enhance trafficking of prion protein aggregates through the secretory pathway and increase accumulation of pathologic prion protein. J Biol Chem 286:33942–33953. doi: 10.1074/jbc.M111.272617 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247. Abdelaziz DH, Abdulrahman BA, Gilch S, Schatzl HM. 2019. Autophagy pathways in the treatment of prion diseases. Curr Opin Pharmacol 44:46–52. doi: 10.1016/j.coph.2019.04.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 248. Jeffrey M, McGovern G, Goodsir CM, Síso S, González L. 2009. Strain-associated variations in abnormal PrP trafficking of sheep scrapie. Brain Pathol 19:1–11. doi: 10.1111/j.1750-3639.2008.00150.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 249. Goold R, McKinnon C, Tabrizi SJ. 2015. Prion degradation pathways: potential for therapeutic intervention. Mol Cell Neurosci 66:12–20. doi: 10.1016/j.mcn.2014.12.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250. Silveira JR, Raymond GJ, Hughson AG, Race RE, Sim VL, Hayes SF, Caughey B. 2005. The most infectious prion protein particles. Nature 437:257–261. doi: 10.1038/nature03989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 251. Salahuddin P, Rabbani G, Khan RH. 2014. The role of advanced glycation end products in various types of neurodegenerative disease: a therapeutic approach. Cell Mol Biol Lett 19:407–437. doi: 10.2478/s11658-014-0205-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 252. do Amaral MJ, Mohapatra S, Passos AR, Lopes da Silva TS, Carvalho RS, da Silva Almeida M, Pinheiro AS, Wegmann S, Cordeiro Y. 2023. Copper drives prion protein phase separation and modulates aggregation. Sci Adv 9:eadi7347. doi: 10.1126/sciadv.adi7347 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253. Brown P, Rau EH, Johnson BK, Bacote AE, Gibbs CJ Jr, Gajdusek DC. 2000. New studies on the heat resistance of hamster-adapted scrapie agent: threshold survival after ashing at 600 degrees C suggests an inorganic template of replication. Proc Natl Acad Sci U S A 97:3418–3421. doi: 10.1073/pnas.97.7.3418 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254. Deleault NR, Harris BT, Rees JR, Supattapone S. 2007. Formation of native prions from minimal components in vitro. Proc Natl Acad Sci U S A 104:9741–9746. doi: 10.1073/pnas.0702662104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 255. Nishina K, Jenks S, Supattapone S. 2004. Ionic strength and transition metals control PrPSc protease resistance and conversion-inducing activity. J Biol Chem 279:40788–40794. doi: 10.1074/jbc.M406548200 [DOI] [PubMed] [Google Scholar]
  • 256. Lehmann S, Harris DA. 1995. A mutant prion protein displays an aberrant membrane association when expressed in cultured cells. J Biol Chem 270:24589–24597. doi: 10.1074/jbc.270.41.24589 [DOI] [PubMed] [Google Scholar]
  • 257. Wickner RB, Hayashi Y, Edskes HK. 2025. Anti-prion systems in Saccharomyces cerevisiae. J Neurochem 169:e70045. doi: 10.1111/jnc.70045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258. Gorkovskiy A, Reidy M, Masison DC, Wickner RB. 2017. Hsp104 disaggregase at normal levels cures many [PSI+] prion variants in a process promoted by Sti1p, Hsp90, and Sis1p. Proc Natl Acad Sci U S A 114:E4193–E4202. doi: 10.1073/pnas.1704016114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 259. McLean PJ, Klucken J, Shin Y, Hyman BT. 2004. Geldanamycin induces Hsp70 and prevents alpha-synuclein aggregation and toxicity in vitro. Biochem Biophys Res Commun 321:665–669. doi: 10.1016/j.bbrc.2004.07.021 [DOI] [PubMed] [Google Scholar]
  • 260. Chang YL, Yang CC, Huang YY, Chen YA, Yang CW, Liao CY, Li H, Wu CS, Lin CH, Teng SC. 2023. The HSP40 family chaperone isoform DNAJB6b prevents neuronal cells from tau aggregation. BMC Biol 21:293. doi: 10.1186/s12915-023-01798-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261. Maina MB, Al-Hilaly YK, Oakley S, Burra G, Khanom T, Biasetti L, Mengham K, Marshall K, Harrington CR, Wischik CM, Serpell LC. 2022. Dityrosine cross-links are present in Alzheimer’s disease-derived tau oligomers and paired helical filaments (PHF) which promotes the stability of the PHF-core Tau (297–391) in vitro. J Mol Biol 434:167785. doi: 10.1016/j.jmb.2022.167785 [DOI] [PubMed] [Google Scholar]
  • 262. Delobel P, Leroy O, Hamdane M, Sambo AV, Delacourte A, Buée L. 2005. Proteasome inhibition and Tau proteolysis: an unexpected regulation. FEBS Lett 579:1–5. doi: 10.1016/j.febslet.2004.11.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 263. Webb JL, Ravikumar B, Atkins J, Skepper JN, Rubinsztein DC. 2003. α-synuclein is degraded by both autophagy and the proteasome. J Biol Chem 278:25009–25013. doi: 10.1074/jbc.M300227200 [DOI] [PubMed] [Google Scholar]
  • 264. Kenessey A, Nacharaju P, Ko LW, Yen SH. 1997. Degradation of tau by lysosomal enzyme cathepsin D: implication for Alzheimer neurofibrillary degeneration. J Neurochem 69:2026–2038. doi: 10.1046/j.1471-4159.1997.69052026.x [DOI] [PubMed] [Google Scholar]
  • 265. Lee HJ, Khoshaghideh F, Patel S, Lee SJ. 2004. Clearance of α-synuclein oligomeric intermediates via the lysosomal degradation pathway. J Neurosci 24:1888–1896. doi: 10.1523/JNEUROSCI.3809-03.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 266. Caughey B, Raymond GJ, Ernst D, Race RE. 1991. N-terminal truncation of the scrapie-associated form of PrP by lysosomal protease(s): implications regarding the site of conversion of PrP to the protease-resistant state. J Virol 65:6597–6603. doi: 10.1128/JVI.65.12.6597-6603.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 267. Shim SY, Karri S, Law S, Schatzl HM, Gilch S. 2016. Prion infection impairs lysosomal degradation capacity by interfering with rab7 membrane attachment in neuronal cells. Sci Rep 6:21658. doi: 10.1038/srep21658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268. Piovesana E, Magrin C, Ciccaldo M, Sola M, Bellotto M, Molinari M, Papin S, Paganetti P. 2023. Tau accumulation in degradative organelles is associated to lysosomal stress. Sci Rep 13:18024. doi: 10.1038/s41598-023-44979-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 269. Mazzulli JR, Zunke F, Isacson O, Studer L, Krainc D. 2016. α-Synuclein–induced lysosomal dysfunction occurs through disruptions in protein trafficking in human midbrain synucleinopathy models. Proc Natl Acad Sci USA 113:1931–1936. doi: 10.1073/pnas.1520335113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 270. Freeman D, Cedillos R, Choyke S, Lukic Z, McGuire K, Marvin S, Burrage AM, Sudholt S, Rana A, O’Connor C, Wiethoff CM, Campbell EM. 2013. Alpha-synuclein induces lysosomal rupture and cathepsin dependent reactive oxygen species following endocytosis. PLoS One 8:e62143. doi: 10.1371/journal.pone.0062143 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271. Wang Y, Martinez-Vicente M, Krüger U, Kaushik S, Wong E, Mandelkow E-M, Cuervo AM, Mandelkow E. 2009. Tau fragmentation, aggregation and clearance: the dual role of lysosomal processing. Hum Mol Genet 18:4153–4170. doi: 10.1093/hmg/ddp367 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272. Atlante A, Amadoro G, Bobba A, de Bari L, Corsetti V, Pappalardo G, Marra E, Calissano P, Passarella S. 2008. A peptide containing residues 26-44 of tau protein impairs mitochondrial oxidative phosphorylation acting at the level of the adenine nucleotide translocator. Biochim Biophys Acta 1777:1289–1300. doi: 10.1016/j.bbabio.2008.07.004 [DOI] [PubMed] [Google Scholar]
  • 273. Amadoro G, Serafino AL, Barbato C, Ciotti MT, Sacco A, Calissano P, Canu N. 2004. Role of N-terminal tau domain integrity on the survival of cerebellar granule neurons. Cell Death Differ 11:217–230. doi: 10.1038/sj.cdd.4401314 [DOI] [PubMed] [Google Scholar]
  • 274. Schmitz M, Cramm M, Llorens F, Müller-Cramm D, Collins S, Atarashi R, Satoh K, Orrù CD, Groveman BR, Zafar S, Schulz-Schaeffer WJ, Caughey B, Zerr I. 2016. The real-time quaking-induced conversion assay for detection of human prion disease and study of other protein misfolding diseases. Nat Protoc 11:2233–2242. doi: 10.1038/nprot.2016.120 [DOI] [PubMed] [Google Scholar]
  • 275. Manca M, Kraus A. 2020. Defining the protein seeds of neurodegeneration using real-time quaking-induced conversion assays. Biomolecules 10:1233. doi: 10.3390/biom10091233 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 276. Vascellari S, Orrù CD, Caughey B. 2022. Real-time quaking- induced conversion assays for prion diseases, synucleinopathies, and tauopathies. Front Aging Neurosci 14:853050. doi: 10.3389/fnagi.2022.853050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 277. Green AJE. 2022. Editorial: Utility of protein aggregation assays from laboratory to clinical application. Front Aging Neurosci 14:998136. doi: 10.3389/fnagi.2022.998136 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 278. Orru CD, Isiofia O, Hughson AG, Caughey B. 2023. Real-time quaking-induced conversion (QuIC) assays for the detection and diagnosis of human prion diseases, p 621–635. In Zou WQ, Gambetti P (ed), Prions and diseases, 2nd ed. Springer Nature, Switzerland. [Google Scholar]
  • 279. Salciccia C, Costanzo M, Ruocco G, Porreca F, Vivacqua G, Fabbrini G, Belvisi D, Ladogana A, Poleggi A. 2025. Proteopathic seed amplification assays in easily accessible specimens for human synucleinopathies, tauopathies, and prionopathies: a scoping review. Neurosci Biobehav Rev 169:105997. doi: 10.1016/j.neubiorev.2024.105997 [DOI] [PubMed] [Google Scholar]
  • 280. Wilham JM, Orrú CD, Bessen RA, Atarashi R, Sano K, Race B, Meade-White KD, Taubner LM, Timmes A, Caughey B. 2010. Rapid end-point quantitation of prion seeding activity with sensitivity comparable to bioassays. PLoS Pathog 6:e1001217. doi: 10.1371/journal.ppat.1001217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281. Atarashi R, Satoh K, Sano K, Fuse T, Yamaguchi N, Ishibashi D, Matsubara T, Nakagaki T, Yamanaka H, Shirabe S, Yamada M, Mizusawa H, Kitamoto T, Klug G, McGlade A, Collins SJ, Nishida N. 2011. Ultrasensitive human prion detection in cerebrospinal fluid by real-time quaking-induced conversion. Nat Med 17:175–178. doi: 10.1038/nm.2294 [DOI] [PubMed] [Google Scholar]
  • 282. Atarashi R, Moore RA, Sim VL, Hughson AG, Dorward DW, Onwubiko HA, Priola SA, Caughey B. 2007. Ultrasensitive detection of scrapie prion protein using seeded conversion of recombinant prion protein. Nat Methods 4:645–650. doi: 10.1038/nmeth1066 [DOI] [PubMed] [Google Scholar]
  • 283. Colby DW, Zhang Q, Wang S, Groth D, Legname G, Riesner D, Prusiner SB. 2007. Prion detection by an amyloid seeding assay. Proc Natl Acad Sci U S A 104:20914–20919. doi: 10.1073/pnas.0710152105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 284. Atarashi R, Wilham JM, Christensen L, Hughson AG, Moore RA, Johnson LM, Onwubiko HA, Priola SA, Caughey B. 2008. Simplified ultrasensitive prion detection by recombinant PrP conversion with shaking. Nat Methods 5:211–212. doi: 10.1038/nmeth0308-211 [DOI] [PubMed] [Google Scholar]
  • 285. Srivastava A, Wang Q, Orrù CD, Fernandez M, Compta Y, Ghetti B, Zanusso G, Zou W-Q, Caughey B, Beauchemin CAA. 2024. Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. PLoS Pathog 20:e1012554. doi: 10.1371/journal.ppat.1012554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 286. Bernhardt AM, Longen S, Trossbach SV, Rossi M, Weckbecker D, Schmidt F, Jäck A, Katzdobler S, Fietzek UM, Weidinger E, Palleis C, Ruf V, Baiardi S, Parchi P, Höglinger GU, Matthias T, Levin J, Giese A. 2025. A quantitative Lewy-fold-specific alpha-synuclein seed amplification assay as a progression marker for Parkinson’s disease. Acta Neuropathol 149:20. doi: 10.1007/s00401-025-02853-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287. Baiardi S, Rossi M, Giannini G, Mammana A, Polischi B, Sambati L, Mastrangelo A, Magliocchetti F, Cortelli P, Capellari S, Calandra Buonaura G, Parchi P. 2025. Head-to-head comparison of four cerebrospinal fluid and three plasma neurofilament light chain assays in Parkinsonism. NPJ Parkinsons Dis 11:98. doi: 10.1038/s41531-025-00951-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 288. Nichols TA, Pulford B, Wyckoff AC, Meyerett C, Michel B, Gertig K, Hoover EA, Jewell JE, Telling GC, Zabel MD. 2009. Detection of protease-resistant cervid prion protein in water from a CWD-endemic area. Prion 3:171–183. doi: 10.4161/pri.3.3.9819 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 289. Yuan Q, Rowden G, Wolf TM, Schwabenlander MD, Larsen PA, Bartelt-Hunt SL, Bartz JC. 2022. Sensitive detection of chronic wasting disease prions recovered from environmentally relevant surfaces. Environ Int 166:107347. doi: 10.1016/j.envint.2022.107347 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290. Carlson CM, Thomas S, Keating MW, Soto P, Gibbs NM, Chang H, Wiepz JK, Austin AG, Schneider JR, Morales R, Johnson CJ, Pedersen JA. 2023. Plants as vectors for environmental prion transmission. iScience 26:108428. doi: 10.1016/j.isci.2023.108428 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 291. Orrú CD, Groveman BR, Hughson AG, Barrio T, Isiofia K, Race B, Ferreira NC, Gambetti P, Schneider DA, Masujin K, Miyazawa K, Ghetti B, Zanusso G, Caughey B. 2024. Sensitive detection of pathological seeds of α-synuclein, tau and prion protein on solid surfaces. PLoS Pathog 20:e1012175. doi: 10.1371/journal.ppat.1012175 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 292. Simmons SM, Payne VL, Hrdlicka JG, Taylor J, Larsen PA, Wolf TM, Schwabenlander MD, Yuan Q, Bartz JC. 2024. Rapid and sensitive determination of residual prion infectivity from prion-decontaminated surfaces. mSphere 9:e0050424. doi: 10.1128/msphere.00504-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 293. Soto P, Ho N, Lockwood M, Stolte A, Reed JH, Morales R. 2025. Chronic wasting disease (CWD) prion detection in environmental and biological samples from a taxidermy site and nursing facility, and instruments used in surveillance activities. Sci Total Environ 976:179318. doi: 10.1016/j.scitotenv.2025.179318 [DOI] [PubMed] [Google Scholar]
  • 294. Li EA, Karwan DL, Lichtenberg SS, Rowden GR, Schwabenlander MD, Larsen PA, Wolf TM. 2025. Prion partitioning and persistence in environmental waters. Environ Sci Technol 59:5715–5725. doi: 10.1021/acs.est.4c11497 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 295. Milstein M, Gresch SC, Schwabenlander MD, Li M, Bartz JC, Bryant DN, Christenson PR, Lindsey LL, Lurndahl N, Oh SH, Rowden GR, Shoemaker RL, Wolf TM, Larsen PA, Lichtenberg SS. 2025. Detection and decontamination of chronic wasting disease prions during venison processing. Emerg Infect Dis 31:772–782. doi: 10.3201/eid3104.241176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 296. Christenson PR, Jeong H, Li M, Ahn H, Schmeichel AM, Misra P, Li D, Savica R, Low PA, Singer W, Larsen PA, Park HY, Oh SH. 2024. Blood-based nanoparticle-enhanced quaking-induced conversion (Nano-QuIC): inhibitor-resistant detection of seeding activity in patients diagnosed with Parkinson’s disease. Nano Lett 24:15016–15024. doi: 10.1021/acs.nanolett.4c03768 [DOI] [PubMed] [Google Scholar]
  • 297. Lee DJ, Christenson PR, Rowden G, Lindquist NC, Larsen PA, Oh SH. 2023. Microfluidic quaking-induced conversion (Micro-QuIC) for rapid on-site amplification and detection of misfolded proteins. Bioengineering. doi: 10.1101/2023.07.17.549283 [DOI] [Google Scholar]
  • 298. Christenson PR, Li M, Rowden G, Schwabenlander MD, Wolf TM, Oh SH, Larsen PA. 2022. A field-deployable diagnostic assay for the visual detection of misfolded prions. Sci Rep 12:12246. doi: 10.1038/s41598-022-16323-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 299. Christenson PR, Jeong H, Ahn H, Li M, Rowden G, Shoemaker RL, Larsen PA, Park HY, Oh SH. 2024. Visual detection of misfolded alpha-synuclein and prions via capillary-based quaking-induced conversion assay (Cap-QuIC). NPJ Biosensing 1. doi: 10.1038/s44328-024-00003-0 [DOI] [Google Scholar]
  • 300. Metrick MA II, do Carmo Ferreira N, Saijo E, Hughson AG, Kraus A, Orrú C, Miller MW, Zanusso G, Ghetti B, Vendruscolo M, Caughey B. 2019. Million-fold sensitivity enhancement in proteopathic seed amplification assays for biospecimens by Hofmeister ion comparisons. Proc Natl Acad Sci USA 116:23029–23039. doi: 10.1073/pnas.1909322116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301. Howey KD, Li M, Christenson PR, Larsen PA, Oh SH. 2025. AI-QuIC machine learning for automated detection of misfolded proteins in seed amplification assays. NPJ Biosensing 2. doi: 10.1038/s44328-025-00035-0 [DOI] [Google Scholar]
  • 302. Li M, Bryant DN, Gresch S, Milstein MS, Christenson PR, Lichtenberg SS, Larsen PA, Oh SH. 2024. QuICSeedR: an R package for analyzing fluorophore-assisted seed amplification assay data. Bioinformatics 41. doi: 10.1093/bioinformatics/btae752 [DOI] [Google Scholar]
  • 303. Konold T, Spiropoulos J, Bellerby P, Simmons HA. 2025. Failure to prevent classical scrapie after repeated decontamination of a barn. BMC Res Notes 18:126. doi: 10.1186/s13104-025-07188-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 304. Orrú CD, Wilham JM, Raymond LD, Kuhn F, Schroeder B, Raeber AJ, Caughey B. 2011. Prion disease blood test using immunoprecipitation and improved quaking-induced conversion. MBio 2:e00078-11. doi: 10.1128/mBio.00078-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 305. McGuire LI, Poleggi A, Poggiolini I, Suardi S, Grznarova K, Shi S, de Vil B, Sarros S, Satoh K, Cheng K, Cramm M, Fairfoul G, Schmitz M, Zerr I, Cras P, Equestre M, Tagliavini F, Atarashi R, Knox D, Collins S, Haïk S, Parchi P, Pocchiari M, Green A. 2016. Cerebrospinal fluid real-time quaking-induced conversion is a robust and reliable test for sporadic creutzfeldt-jakob disease: an international study. Ann Neurol 80:160–165. doi: 10.1002/ana.24679 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 306. Orrú CD, Groveman BR, Foutz A, Bongianni M, Cardone F, McKenzie N, Culeux A, Poleggi A, Grznarova K, Perra D, Fiorini M, Liu X, Ladogana A, Sbriccoli M, Hughson AG, Haïk S, Green AJ, Geschwind MD, Pocchiari M, Safar JG, Zanusso G, Caughey B. 2020. Ring trial of 2nd generation RT-QuIC diagnostic tests for sporadic CJD. Ann Clin Transl Neurol 7:2262–2271. doi: 10.1002/acn3.51219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 307. McKenzie N, Piconi G, Culeux A, Hammarin A-L, Stergiou C, Tzartos S, Versleijen AAM, van de Geer J, Cras P, Cardone F, et al. 2022. Concordance of cerebrospinal fluid real-time quaking-induced conversion across the European Creutzfeldt-Jakob disease surveillance network. Eur J Neurol 29:2431–2438. doi: 10.1111/ene.15387 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 308. Darish JR, Kaganer AW, Hanley BJ, Schuler KL, Schwabenlander MD, Wolf TM, Ahmed MS, Rowden GR, Larsen PA, Kobashigawa E, Tewari D, Lichtenberg S, Pedersen JA, Zhang S, Sreevatsan S. 2025. Inter-laboratory comparison of real-time quaking-induced conversion (RT-QuIC) for the detection of chronic wasting disease prions in white-tailed deer retropharyngeal lymph nodes. J Vet Diagn Invest 37:86–93. doi: 10.1177/10406387241285165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 309. Raymond GJ, Race B, Orrú CD, Raymond LD, Bongianni M, Fiorini M, Groveman BR, Ferrari S, Sacchetto L, Hughson AG, Monaco S, Pocchiari M, Zanusso G, Caughey B. 2020. Transmission of CJD from nasal brushings but not spinal fluid or RT-QuIC product. Ann Clin Transl Neurol 7:932–944. doi: 10.1002/acn3.51057 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 310. McGuire LI, Peden AH, Orru CD, Wilham JM, Appleford NE, Mallinson G, Andrews M, Head MW, Caughey B, Will RG, Knight RSG, Green AJE. 2012. RT-QuIC analysis of cerebrospinal fluid in sporadic Creutzfeldt-Jakob disease. Ann Neurol 72:278–285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 311. Orrú CD, Groveman BR, Hughson AG, Zanusso G, Coulthart MB, Caughey B. 2015. Rapid and sensitive RT-QuIC detection of human Creutzfeldt-Jakob disease using cerebrospinal fluid. MBio 6:e02451-14. doi: 10.1128/mBio.02451-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 312. Cramm M, Schmitz M, Karch A, Zafar S, Varges D, Mitrova E, Schroeder B, Raeber A, Kuhn F, Zerr I. 2015. Characteristic CSF prion seeding efficiency in humans with prion diseases. Mol Neurobiol 51:396–405. doi: 10.1007/s12035-014-8709-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 313. Foutz A, Appleby BS, Hamlin C, Liu X, Yang S, Cohen Y, Chen W, Blevins J, Fausett C, Wang H, Gambetti P, Zhang S, Hughson A, Tatsuoka C, Schonberger LB, Cohen ML, Caughey B, Safar JG. 2017. Diagnostic and prognostic value of human prion detection in cerebrospinal fluid. Ann Neurol 81:79–92. doi: 10.1002/ana.24833 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 314. Franceschini A, Baiardi S, Hughson AG, McKenzie N, Moda F, Rossi M, Capellari S, Green A, Giaccone G, Caughey B, Parchi P. 2017. High diagnostic value of second generation CSF RT-QuIC across the wide spectrum of CJD prions. Sci Rep 7:10655. doi: 10.1038/s41598-017-10922-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 315. Mok TH, Nihat A, Majbour N, Sequeira D, Holm-Mercer L, Coysh T, Darwent L, Batchelor M, Groveman BR, Orr CD, et al. 2023. Seed amplification and neurodegeneration marker trajectories in individuals at risk of prion disease. Brain 146:2570–2583. doi: 10.1093/brain/awad101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 316. Parveen S, Alam P, Orrù CD, Vascellari S, Hughson AG, Zou W-Q, Beach TG, Serrano GE, Goldstein DS, Ghetti B, Cossu G, Pisano G, Pinna B, Caughey B. 2025. A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens. NPJ Biosens 2:8. doi: 10.1038/s44328-024-00023-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 317. Bongianni M, Orrù C, Groveman BR, Sacchetto L, Fiorini M, Tonoli G, Triva G, Capaldi S, Testi S, Ferrari S, et al. 2017. Diagnosis of human prion disease using real-time quaking-induced conversion testing of olfactory mucosa and cerebrospinal fluid samples. JAMA Neurol 74:155–162. doi: 10.1001/jamaneurol.2016.4614 [DOI] [PubMed] [Google Scholar]
  • 318. Orrú CD, Bongianni M, Tonoli G, Ferrari S, Hughson AG, Groveman BR, Fiorini M, Pocchiari M, Monaco S, Caughey B, Zanusso G. 2014. A test for Creutzfeldt-Jakob disease using nasal brushings. N Engl J Med 371:519–529. doi: 10.1056/NEJMoa1315200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 319. Fiorini M, Iselle G, Perra D, Bongianni M, Capaldi S, Sacchetto L, Ferrari S, Mombello A, Vascellari S, Testi S, Monaco S, Zanusso G. 2020. High diagnostic accuracy of RT-QuIC assay in a prospective study of patients with suspected sCJD. Int J Mol Sci 21:880. doi: 10.3390/ijms21030880 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 320. Orrú CD, Yuan J, Appleby BS, Li B, Li Y, Winner D, Wang Z, Zhan Y-A, Rodgers M, Rarick J, Wyza RE, Joshi T, Wang G-X, Cohen ML, Zhang S, Groveman BR, Petersen RB, Ironside JW, Quiñones-Mateu ME, Safar JG, Kong Q, Caughey B, Zou W-Q. 2017. Prion seeding activity and infectivity in skin samples from patients with sporadic Creutzfeldt-Jakob disease. Sci Transl Med 9:eaam7785. doi: 10.1126/scitranslmed.aam7785 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 321. Wang Z, Manca M, Foutz A, Camacho MV, Raymond GJ, Race B, Orru CD, Yuan J, Shen P, Li B, Lang Y, Dang J, Adornato A, Williams K, Maurer NR, Gambetti P, Xu B, Surewicz W, Petersen RB, Dong X, Appleby BS, Caughey B, Cui L, Kong Q, Zou WQ. 2019. Early preclinical detection of prions in the skin of prion-infected animals. Nat Commun 10:247. doi: 10.1038/s41467-018-08130-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 322. Zhang W, Orrú CD, Foutz A, Ding M, Yuan J, Shah SZA, Zhang J, Kotobelli K, Gerasimenko M, Gilliland T, et al. 2024. Large-scale validation of skin prion seeding activity as a biomarker for diagnosis of prion diseases. Acta Neuropathol 147:17. doi: 10.1007/s00401-023-02661-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 323. Schmitz M, Silva Correia S, Hermann P, Maass F, Goebel S, Bunck T, Correia A, Lingor P, Fischer A, Zerr I. 2023. Detection of prion protein seeding activity in tear fluids. N Engl J Med 388:1816–1817. doi: 10.1056/NEJMc2214647 [DOI] [PubMed] [Google Scholar]
  • 324. John TR, Schätzl HM, Gilch S. 2013. Early detection of chronic wasting disease prions in urine of pre-symptomatic deer by real-time quaking-induced conversion assay. Prion 7:253–258. doi: 10.4161/pri.24430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 325. Henderson DM, Davenport KA, Haley NJ, Denkers ND, Mathiason CK, Hoover EA. 2015. Quantitative assessment of prion infectivity in tissues and body fluids by real-time quaking-induced conversion. J Gen Virol 96:210–219. doi: 10.1099/vir.0.069906-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 326. Henderson DM, Denkers ND, Hoover CE, Garbino N, Mathiason CK, Hoover EA. 2015. Longitudinal detection of prion shedding in saliva and urine by chronic wasting disease-infected deer by real-time quaking-induced conversion. J Virol 89:9338–9347. doi: 10.1128/JVI.01118-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 327. Cheng YC, Hannaoui S, John TR, Dudas S, Czub S, Gilch S. 2016. Early and non-invasive detection of chronic wasting disease prions in elk feces by real-time quaking induced conversion. PLoS One 11:e0166187. doi: 10.1371/journal.pone.0166187 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 328. Cheng YC, Hannaoui S, John TR, Dudas S, Czub S, Gilch S.. 2017. Real-time quaking-induced conversion assay for detection of cwd prions in fecal material. J Vis Exp doi: 10.3791/56373. [DOI] [Google Scholar]
  • 329. Masujin K, Orrú CD, Miyazawa K, Groveman BR, Raymond LD, Hughson AG, Caughey B. 2016. Detection of atypical H-type bovine spongiform encephalopathy and discrimination of bovine prion strains by real-time quaking-induced conversion. J Clin Microbiol 54:676–686. doi: 10.1128/JCM.02731-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 330. Orrú CD, Groveman BR, Raymond LD, Hughson AG, Nonno R, Zou W, Ghetti B, Gambetti P, Caughey B. 2015. Bank vole prion protein as an apparently universal substrate for RT-QuIC-based detection and discrimination of prion strains. PLoS Pathog 11:e1004983. doi: 10.1371/journal.ppat.1004983 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 331. Orrú CD, Favole A, Corona C, Mazza M, Manca M, Groveman BR, Hughson AG, Acutis PL, Caramelli M, Zanusso G, Casalone C, Caughey B. 2015. Detection and discrimination of classical and atypical L-type bovine spongiform encephalopathy by real-time quaking-induced conversion. J Clin Microbiol 53:1115–1120. doi: 10.1128/JCM.02906-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 332. Orrù CD, Hughson AG, Race B, Raymond GJ, Caughey B. 2012. Time course of prion seeding activity in cerebrospinal fluid of scrapie-infected hamsters after intratongue and intracerebral inoculations. J Clin Microbiol 50:1464–1466. doi: 10.1128/JCM.06099-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 333. Elder AM, Henderson DM, Nalls AV, Wilham JM, Caughey BW, Hoover EA, Kincaid AE, Bartz JC, Mathiason CK. 2013. In vitro detection of prionemia in TSE-infected cervids and hamsters. PLoS One 8:e80203. doi: 10.1371/journal.pone.0080203 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 334. Thomas CM, Salamat MKF, Almela F, Cooper JK, Ladhani K, Arnold ME, Bougard D, Andréoletti O, Houston EF. 2024. Longitudinal detection of prion infection in preclinical sheep blood samples compared using 3 assays. Blood 144:1962–1973. doi: 10.1182/blood.2024024649 [DOI] [PubMed] [Google Scholar]
  • 335. Srivastava A, Alam P, Caughey B. 2022. RT-QuIC and related assays for detecting and quantifying prion-like pathological seeds of α-synuclein. Biomolecules 12:576. doi: 10.3390/biom12040576 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 336. Baiardi S, Parchi P. 2025. Perspectives toward the development of quantitative seed amplification assays for α-synuclein. Neurology 104:e213384. doi: 10.1212/WNL.0000000000213384 [DOI] [PubMed] [Google Scholar]
  • 337. Orrú CD, Vaughan DP, Vijiaratnam N, Real R, Martinez-Carrasco A, Fumi R, Jensen MT, Hodgson M, Girges C, Gil-Martinez A-L, et al. 2025. Diagnostic and prognostic value of α-synuclein seed amplification assay kinetic measures in Parkinson’s disease: a longitudinal cohort study. Lancet Neurol 24:580–590. doi: 10.1016/S1474-4422(25)00157-7 [DOI] [PubMed] [Google Scholar]
  • 338. Fairfoul G, McGuire LI, Pal S, Ironside JW, Neumann J, Christie S, Joachim C, Esiri M, Evetts SG, Rolinski M, Baig F, Ruffmann C, Wade-Martins R, Hu MTM, Parkkinen L, Green AJE. 2016. Alpha-synuclein RT-QuIC in the CSF of patients with alpha-synucleinopathies. Ann Clin Transl Neurol 3:812–818. doi: 10.1002/acn3.338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 339. Shahnawaz M, Tokuda T, Waragai M, Mendez N, Ishii R, Trenkwalder C, Mollenhauer B, Soto C. 2017. Development of a biochemical diagnosis of parkinson disease by detection of α-synuclein misfolded aggregates in cerebrospinal fluid. JAMA Neurol 74:163–172. doi: 10.1001/jamaneurol.2016.4547 [DOI] [PubMed] [Google Scholar]
  • 340. Groveman BR, Orrù CD, Hughson AG, Raymond LD, Zanusso G, Ghetti B, Campbell KJ, Safar J, Galasko D, Caughey B. 2018. Rapid and ultra-sensitive quantitation of disease-associated α-synuclein seeds in brain and cerebrospinal fluid by αSyn RT-QuIC. Acta Neuropathol Commun 6:7. doi: 10.1186/s40478-018-0508-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 341. Orrù CD, Ma TC, Hughson AG, Groveman BR, Srivastava A, Galasko D, Angers R, Downey P, Crawford K, Hutten SJ, Kang UJ, Caughey B. 2021. A rapid α-synuclein seed assay of Parkinson’s disease CSF panel shows high diagnostic accuracy. Ann Clin Transl Neurol 8:374–384. doi: 10.1002/acn3.51280 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 342. Rossi M, Candelise N, Baiardi S, Capellari S, Giannini G, Orrù CD, Antelmi E, Mammana A, Hughson AG, Calandra-Buonaura G, Ladogana A, Plazzi G, Cortelli P, Caughey B, Parchi P. 2020. Ultrasensitive RT-QuIC assay with high sensitivity and specificity for Lewy body-associated synucleinopathies. Acta Neuropathol 140:49–62. doi: 10.1007/s00401-020-02160-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 343. Russo MJ, Orru CD, Concha-Marambio L, Giaisi S, Groveman BR, Farris CM, Holguin B, Hughson AG, LaFontant DE, Caspell-Garcia C, Coffey CS, Mollon J, Hutten SJ, Merchant K, Heym RG, Soto C, Caughey B, Kang UJ. 2021. High diagnostic performance of independent alpha-synuclein seed amplification assays for detection of early Parkinson’s disease. Acta Neuropathol Commun 9:179. doi: 10.1186/s40478-021-01282-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 344. Bargar C, Wang W, Gunzler SA, LeFevre A, Wang Z, Lerner AJ, Singh N, Tatsuoka C, Appleby B, Zhu X, Xu R, Haroutunian V, Zou WQ, Ma J, Chen SG. 2021. Streamlined alpha-synuclein RT-QuIC assay for various biospecimens in Parkinson’s disease and dementia with Lewy bodies. Acta Neuropathol Commun 9:62. doi: 10.1186/s40478-021-01175-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 345. Siderowf A, Concha-Marambio L, Lafontant DE, Farris CM, Ma Y, Urenia PA, Nguyen H, Alcalay RN, Chahine LM, Foroud T, et al. 2023. Assessment of heterogeneity among participants in the Parkinson’s progression markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study. Lancet Neurol 22:407–417. doi: 10.1016/S1474-4422(23)00109-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 346. Baranová S, Moško T, Brůžová M, Haldiman T, Kim C, Safar JG, Matěj R, Holada K. 2024. Detection of prions in matching post-mortem skin and cerebrospinal fluid samples using second-generation real-time quaking-induced conversion assay. Sci Rep 14:6294. doi: 10.1038/s41598-024-56789-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 347. Bräuer S, Weber M, Deuschle C, Julia K, Concha-Marambio L, Bernhardt AM, Kadam V, Mengel D, Ruf WP, Kassubek J, Schniewind I, Kuhs S, Rossi M, Parchi P, Levin J, Danzer KM, Synofzik M, Brockmann K, Falkenburger BH. 2025. High agreement across laboratories between different alpha-synuclein seed amplification protocols. Eur J Neurol 32:e70165. doi: 10.1111/ene.70165 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 348. De Luca CMG, Elia AE, Portaleone SM, Cazzaniga FA, Rossi M, Bistaffa E, De Cecco E, Narkiewicz J, Salzano G, Carletta O, Romito L, Devigili G, Soliveri P, Tiraboschi P, Legname G, Tagliavini F, Eleopra R, Giaccone G, Moda F. 2019. Efficient RT-QuIC seeding activity for α-synuclein in olfactory mucosa samples of patients with Parkinson’s disease and multiple system atrophy. Transl Neurodegener 8:24. doi: 10.1186/s40035-019-0164-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 349. Fontana E, Bongianni M, Benussi A, Bronzato E, Scialo C, Sacchetto L, Cagnin A, Castriciano S, Buratti E, Gardoni F, Italia M, Schreiber A, Ferracin C, Fiorini M, Newell KL, Cracco L, Garringer HJ, Cecchini MP, Polymenidou M, Padovani A, Monaco S, Legname G, Ghetti B, Borroni B, Zanusso G. 2024. Detection of TDP-43 seeding activity in the olfactory mucosa from patients with frontotemporal dementia. Alzheimers Dement 20:1156–1165. doi: 10.1002/alz.13541 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 350. Kluge A, Bunk J, Schaeffer E, Drobny A, Xiang W, Knacke H, Bub S, Lückstädt W, Arnold P, Lucius R, Berg D, Zunke F. 2022. Detection of neuron-derived pathological α-synuclein in blood. Brain 145:3058–3071. doi: 10.1093/brain/awac115 [DOI] [PubMed] [Google Scholar]
  • 351. Okuzumi A, Hatano T, Matsumoto G, Nojiri S, Ueno S-I, Imamichi-Tatano Y, Kimura H, Kakuta S, Kondo A, Fukuhara T, Li Y, Funayama M, Saiki S, Taniguchi D, Tsunemi T, McIntyre D, Gérardy J-J, Mittelbronn M, Kruger R, Uchiyama Y, Nukina N, Hattori N. 2023. Propagative α-synuclein seeds as serum biomarkers for synucleinopathies. Nat Med 29:1448–1455. doi: 10.1038/s41591-023-02358-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 352. Manne S, Kondru N, Jin H, Anantharam V, Huang X, Kanthasamy A, Kanthasamy AG.. 2019. alpha-Synuclein real-time quaking-induced conversion in the submandibular glands of Parkinson’s disease patients. Mov Disord doi: 10.1002/mds.27907. [DOI] [Google Scholar]
  • 353. Manne S, Kondru N, Jin H, Serrano GE, Anantharam V, Kanthasamy A, Adler CH, Beach TG, Kanthasamy AG. 2020. Blinded RT-QuIC analysis of α-synuclein biomarker in skin tissue from parkinson’s disease patients. Mov Disord 35:2230–2239. doi: 10.1002/mds.28242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 354. Wang Z, Becker K, Donadio V, Siedlak S, Yuan J, Rezaee M, Incensi A, Kuzkina A, Orru CD, Tatsuoka C, Liguori R, Gunzler SA, Caughey B, Jimenez-Capdeville ME, Zhu X, Doppler K, Cui L, Chen SG, Ma J, Zou WQ.. 2020. Skin alpha-synuclein aggregation seeding activity as a novel biomarker for parkinson disease. JAMA Neurol doi: 10.1001/jamaneurol.2020.3311:e203311. [DOI] [Google Scholar]
  • 355. Vascellari S, Orrù CD, Groveman BR, Parveen S, Fenu G, Pisano G, Piga G, Serra G, Oppo V, Murgia D, Perra A, Angius F, Hughson AG, Haigh CL, Manzin A, Cossu G, Caughey B. 2023. α-Synuclein seeding activity in duodenum biopsies from Parkinson’s disease patients. PLoS Pathog 19:e1011456. doi: 10.1371/journal.ppat.1011456 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 356. Iranzo A, Fairfoul G, Ayudhaya ACN, Serradell M, Gelpi E, Vilaseca I, Sanchez-Valle R, Gaig C, Santamaria J, Tolosa E, Riha RL, Green AJE. 2021. Detection of α-synuclein in CSF by RT-QuIC in patients with isolated rapid-eye-movement sleep behaviour disorder: a longitudinal observational study. Lancet Neurol 20:203–212. doi: 10.1016/S1474-4422(20)30449-X [DOI] [PubMed] [Google Scholar]
  • 357. Stefani A, Iranzo A, Holzknecht E, Perra D, Bongianni M, Gaig C, Heim B, Serradell M, Sacchetto L, Garrido A, et al. 2021. Alpha-synuclein seeds in olfactory mucosa of patients with isolated REM sleep behaviour disorder. Brain 144:1118–1126. doi: 10.1093/brain/awab005 [DOI] [PubMed] [Google Scholar]
  • 358. Hall S, Orrù CD, Serrano GE, Galasko D, Hughson AG, Groveman BR, Adler CH, Beach TG, Caughey B, Hansson O. 2022. Performance of αSynuclein RT-QuIC in relation to neuropathological staging of Lewy body disease. Acta Neuropathol Commun 10:90. doi: 10.1186/s40478-022-01388-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 359. Goldstein DS, Alam P, Sullivan P, Holmes C, Gelsomino J, Hughson AG, Caughey B. 2025. Elevated cerebrospinal Fluid α-synuclein seeding activity predicts central lewy body diseases. Mov Disord Clin Pract 12:659–663. doi: 10.1002/mdc3.14333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 360. Mastrangelo A, Mammana A, Hall S, Stomrud E, Zenesini C, Rossi M, Janelidze S, Ticca A, Palmqvist S, Magliocchetti F, Baiardi S, Mattsson-Carlgren N, Hansson O, Parchi P. 2025. Alpha-synuclein seed amplification assay longitudinal outcomes in Lewy body disease spectrum. Brain 148:2038–2048. doi: 10.1093/brain/awae405 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 361. Coughlin DG, Shifflett B, Farris CM, Ma Y, Galasko D, Edland SD, Mollenhauer B, Brumm MC, Poston KL, Marek K, Siderowf AD, Soto C, Concha-Marambio L. 2025. α-synuclein seed amplification assay amplification parameters and the risk of progression in prodromal parkinson disease. Neurology (ECronicon) 104:e210279. doi: 10.1212/WNL.0000000000210279 [DOI] [Google Scholar]
  • 362. Lashuel HA, Surmeier DJ, Simuni T, Merchant K, Caughey B, Soto C, Fares MB, Heym RG, Melki R. 2025. Alpha-synuclein seed amplification assays: data sharing, standardization needed for clinical use. Sci Adv 11:eadt7195. doi: 10.1126/sciadv.adt7195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 363. von Bergen M, Barghorn S, Li L, Marx A, Biernat J, Mandelkow E-M, Mandelkow E. 2001. Mutations of tau protein in frontotemporal dementia promote aggregation of paired helical filaments by enhancing local β-structure. J Biol Chem 276:48165–48174. doi: 10.1074/jbc.M105196200 [DOI] [PubMed] [Google Scholar]
  • 364. Morozova OA, March ZM, Robinson AS, Colby DW. 2013. Conformational features of tau fibrils from Alzheimer’s disease brain are faithfully propagated by unmodified recombinant protein. Biochemistry 52:6960–6967. doi: 10.1021/bi400866w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 365. Meyer V, Dinkel PD, Rickman Hager E, Margittai M. 2014. Amplification of Tau fibrils from minute quantities of seeds. Biochemistry 53:5804–5809. doi: 10.1021/bi501050g [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 366. Saijo E, Ghetti B, Zanusso G, Oblak A, Furman JL, Diamond MI, Kraus A, Caughey B. 2017. Ultrasensitive and selective detection of 3-repeat tau seeding activity in Pick disease brain and cerebrospinal fluid. Acta Neuropathol 133:751–765. doi: 10.1007/s00401-017-1692-z [DOI] [PubMed] [Google Scholar]
  • 367. Kraus A, Saijo E, Metrick MA 2nd, Newell K, Sigurdson CJ, Zanusso G, Ghetti B, Caughey B. 2019. Seeding selectivity and ultrasensitive detection of tau aggregate conformers of Alzheimer disease. Acta Neuropathol 137:585–598. doi: 10.1007/s00401-018-1947-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 368. Metrick MA II, Ferreira N do C, Saijo E, Kraus A, Newell K, Zanusso G, Vendruscolo M, Ghetti B, Caughey B. 2020. A single ultrasensitive assay for detection and discrimination of tau aggregates of Alzheimer and Pick diseases. Acta Neuropathol Commun 8:22. doi: 10.1186/s40478-020-0887-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 369. Carlomagno Y, Manne S, DeTure M, Prudencio M, Zhang YJ, Hanna Al-Shaikh R, Dunmore JA, Daughrity LM, Song Y, Castanedes-Casey M, Lewis-Tuffin LJ, Nicholson KA, Wszolek ZK, Dickson DW, Fitzpatrick AWP, Petrucelli L, Cook CN. 2021. The AD tau core spontaneously self-assembles and recruits full-length tau to filaments. Cell Rep 34:108843. doi: 10.1016/j.celrep.2021.108843 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 370. Wu L, Wang Z, Lad S, Gilyazova N, Dougharty DT, Marcus M, Henderson F, Ray WK, Siedlak S, Li J, Helm RF, Zhu X, Bloom GS, Wang S-HJ, Zou W-Q, Xu B. 2022. Selective detection of misfolded tau from postmortem Alzheimer’s disease brains. Front Aging Neurosci 14:945875. doi: 10.3389/fnagi.2022.945875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 371. Saijo E, Metrick MA II, Koga S, Parchi P, Litvan I, Spina S, Boxer A, Rojas JC, Galasko D, Kraus A, Rossi M, Newell K, Zanusso G, Grinberg LT, Seeley WW, Ghetti B, Dickson DW, Caughey B. 2020. 4-Repeat tau seeds and templating subtypes as brain and CSF biomarkers of frontotemporal lobar degeneration. Acta Neuropathol 139:63–77. doi: 10.1007/s00401-019-02080-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 372. Koga S, Metrick MA II, Golbe LI, Santambrogio A, Kim M, Soto-Beasley AI, Walton RL, Baker MC, De Castro CF, DeTure M, Russell D, Navia BA, Sandiego C, Ross OA, Vendruscolo M, Caughey B, Dickson DW. 2023. Case report of a patient with unclassified tauopathy with molecular and neuropathological features of both progressive supranuclear palsy and corticobasal degeneration. Acta Neuropathol Commun 11:88. doi: 10.1186/s40478-023-01584-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 373. Martinez-Valbuena I, Tartaglia MC, Fox SH, Lang AE, Kovacs GG. 2024. Four-repeat tau seeding in the skin of patients with progressive supranuclear palsy. JAMA Neurol 81:1228–1230. doi: 10.1001/jamaneurol.2024.3162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 374. Wang Z, Wu L, Gerasimenko M, Gilliland T, Shah ZSA, Lomax E, Yang Y, Gunzler SA, Donadio V, Liguori R, Xu B, Zou WQ. 2024. Seeding activity of skin misfolded tau as a biomarker for tauopathies. Mol Neurodegener 19:92. doi: 10.1186/s13024-024-00781-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 375. Kabashi E, Valdmanis PN, Dion P, Rouleau GA. 2007. Oxidized/misfolded superoxide dismutase-1: the cause of all amyotrophic lateral sclerosis? Ann Neurol 62:553–559. doi: 10.1002/ana.21319 [DOI] [PubMed] [Google Scholar]
  • 376. Trist BG, Fifita JA, Hogan A, Grima N, Smith B, Troakes C, Vance C, Shaw C, Al-Sarraj S, Blair IP, Double KL. 2022. Co-deposition of SOD1, TDP-43 and p62 proteinopathies in ALS: evidence for multifaceted pathways underlying neurodegeneration. Acta Neuropathol Commun 10:122. doi: 10.1186/s40478-022-01421-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 377. Taylor JP, Brown RH, Cleveland DW. 2016. Decoding ALS: from genes to mechanism. Nature 539:197–206. doi: 10.1038/nature20413 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 378. Paré B, Lehmann M, Beaudin M, Nordström U, Saikali S, Julien J-P, Gilthorpe JD, Marklund SL, Cashman NR, Andersen PM, Forsberg K, Dupré N, Gould P, Brännström T, Gros-Louis F. 2018. Misfolded SOD1 pathology in sporadic amyotrophic lateral sclerosis. Sci Rep 8:14223. doi: 10.1038/s41598-018-31773-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 379. Da Cruz S, Bui A, Saberi S, Lee SK, Stauffer J, McAlonis-Downes M, Schulte D, Pizzo DP, Parone PA, Cleveland DW, Ravits J. 2017. Misfolded SOD1 is not a primary component of sporadic ALS. Acta Neuropathol 134:97–111. doi: 10.1007/s00401-017-1688-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 380. Mielke JK, Klingeborn M, Schultz EP, Markham EL, Reese ED, Alam P, Mackenzie IR, Ly CV, Caughey B, Cashman NR, Leavens MJ. 2024. Seeding activity of human superoxide dismutase 1 aggregates in familial and sporadic amyotrophic lateral sclerosis postmortem neural tissues by real-time quaking-induced conversion. Acta Neuropathol 147:100. doi: 10.1007/s00401-024-02752-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 381. de Boer EMJ, Orie VK, Williams T, Baker MR, De Oliveira HM, Polvikoski T, Silsby M, Menon P, van den Bos M, Halliday GM, van den Berg LH, Van Den Bosch L, van Damme P, Kiernan MC, van Es MA, Vucic S. 2020. TDP-43 proteinopathies: a new wave of neurodegenerative diseases. J Neurol Neurosurg Psychiatry 92:86–95. doi: 10.1136/jnnp-2020-322983 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 382. Tziortzouda P, Van Den Bosch L, Hirth F. 2021. Triad of TDP43 control in neurodegeneration: autoregulation, localization and aggregation. Nat Rev Neurosci 22:197–208. doi: 10.1038/s41583-021-00431-1 [DOI] [PubMed] [Google Scholar]
  • 383. Scialò C, Zhong W, Jagannath S, Wilkins O, Caredio D, Hruska-Plochan M, Lurati F, Peter M, De Cecco E, Celauro L, Aguzzi A, Legname G, Fratta P, Polymenidou M. 2025. Seeded aggregation of TDP-43 induces its loss of function and reveals early pathological signatures. Neuron 113:1614–1628. doi: 10.1016/j.neuron.2025.03.008 [DOI] [PubMed] [Google Scholar]
  • 384. Nonaka T, Hasegawa M. 2020. Prion-like properties of assembled TDP-43. Curr Opin Neurobiol 61:23–28. doi: 10.1016/j.conb.2019.11.018 [DOI] [PubMed] [Google Scholar]
  • 385. Scialò C, Tran TH, Salzano G, Novi G, Caponnetto C, Chiò A, Calvo A, Canosa A, Moda F, Caroppo P, Silani V, Ticozzi N, Ratti A, Borroni B, Benussi L, Ghidoni R, Furlanis G, Manganotti P, Senigagliesi B, Parisse P, Brasselet R, Buratti E, Legname G. 2020. TDP-43 real-time quaking induced conversion reaction optimization and detection of seeding activity in CSF of amyotrophic lateral sclerosis and frontotemporal dementia patients. Brain Commun 2:fcaa142. doi: 10.1093/braincomms/fcaa142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 386. Vizziello M, Dellarole IL, Ciullini A, Pascuzzo R, Lombardo A, Bellandi F, Celauro L, Battipaglia C, Ciusani E, Rizzo A, Catania M, Devigili G, Della Seta SA, Margiotta V, Consonni M, Faltracco V, Tiraboschi P, Riva N, Portaleone SMS, Zanusso G, Legname G, Lauria G, Dalla Bella E, Moda F. 2025. TDP-43 seeding activity in the olfactory mucosa of patients with amyotrophic lateral sclerosis. Mol Neurodegener 20:49. doi: 10.1186/s13024-025-00833-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 387. Richt JA, Kasinathan P, Hamir AN, Castilla J, Sathiyaseelan T, Vargas F, Sathiyaseelan J, Wu H, Matsushita H, Koster J, Kato S, Ishida I, Soto C, Robl JM, Kuroiwa Y. 2007. Production of cattle lacking prion protein. Nat Biotechnol 25:132–138. doi: 10.1038/nbt1271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 388. An M, Davis JR, Levy JM, Serack FE, Harvey JW, Brauer PP, Pirtle CP, Berríos KN, Newby GA, Yeh W-H, et al. 2025. In vivo base editing extends lifespan of a humanized mouse model of prion disease. Nat Med 31:1319–1328. doi: 10.1038/s41591-024-03466-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 389. Neumann EN, Bertozzi TM, Wu E, Serack F, Harvey JW, Brauer PP, Pirtle CP, Coffey A, Howard M, Kamath N, Lenz K, Guzman K, Raymond MH, Khalil AS, Deverman BE, Minikel EV, Vallabh SM, Weissman JS. 2024. Brainwide silencing of prion protein by AAV-mediated delivery of an engineered compact epigenetic editor. Science 384:ado7082. doi: 10.1126/science.ado7082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 390. Minikel EV, Zhao HT, Le J, O’Moore J, Pitstick R, Graffam S, Carlson GA, Kavanaugh MP, Kriz J, Kim JB, Ma J, Wille H, Aiken J, McKenzie D, Doh-Ura K, Beck M, O’Keefe R, Stathopoulos J, Caron T, Schreiber SL, Carroll JB, Kordasiewicz HB, Cabin DE, Vallabh SM. 2020. Prion protein lowering is a disease-modifying therapy across prion disease stages, strains and endpoints. Nucleic Acids Res 48:10615–10631. doi: 10.1093/nar/gkaa616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 391. Crooke ST, Baker BF, Crooke RM, Liang XH. 2021. Antisense technology: an overview and prospectus. Nat Rev Drug Discov 20:427–453. doi: 10.1038/s41573-021-00162-z [DOI] [PubMed] [Google Scholar]
  • 392. Flores-Fernandez JM, Pesch V, Sriraman A, Chimal-Juarez E, Amidian S, Wang X, Duckering C, Fang A, Reithofer S, Ma L, Cortez LM, Sim VL, Tamgüney G, Wille H. 2024. Rational design of structure-based vaccines targeting misfolded alpha-synuclein conformers of Parkinson’s disease and related disorders. Bioeng Transl Med 9:e10665. doi: 10.1002/btm2.10665 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 393. Rabbani SA, El-Tanani M, Sharma S, El-Tanani Y, Kumar R, Saini M, Yadav M, Khan MA, Parvez S. 2025. RNA-based therapies for neurodegenerative diseases targeting pathogenic proteins. Eur J Neurosci 61:e70110. doi: 10.1111/ejn.70110 [DOI] [PubMed] [Google Scholar]
  • 394. Ludolph A, Wiesenfarth M. 2025. Tofersen and other antisense oligonucleotides in ALS. Ther Adv Neurol Disord 18:17562864251313915. doi: 10.1177/17562864251313915 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 395. Masone A, Zucchelli C, Caruso E, Lavigna G, Eraña H, Giachin G, Tapella L, Comerio L, Restelli E, Raimondi I, et al. 2023. A tetracationic porphyrin with dual anti-prion activity. iScience 26:107480. doi: 10.1016/j.isci.2023.107480 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 396. Golding MC, Long CR, Carmell MA, Hannon GJ, Westhusin ME. 2006. Suppression of prion protein in livestock by RNA interference. Proc Natl Acad Sci U S A 103:5285–5290. doi: 10.1073/pnas.0600813103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 397. Chiti F, Kelly JW. 2022. Small molecule protein binding to correct cellular folding or stabilize the native state against misfolding and aggregation. Curr Opin Struct Biol 72:267–278. doi: 10.1016/j.sbi.2021.11.009 [DOI] [PubMed] [Google Scholar]
  • 398. Bulawa CE, Connelly S, Devit M, Wang L, Weigel C, Fleming JA, Packman J, Powers ET, Wiseman RL, Foss TR, Wilson IA, Kelly JW, Labaudinière R. 2012. Tafamidis, a potent and selective transthyretin kinetic stabilizer that inhibits the amyloid cascade. Proc Natl Acad Sci U S A 109:9629–9634. doi: 10.1073/pnas.1121005109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 399. Horne RI, Andrzejewska EA, Alam P, Brotzakis ZF, Srivastava A, Aubert A, Nowinska M, Gregory RC, Staats R, Possenti A, Chia S, Sormanni P, Ghetti B, Caughey B, Knowles TPJ, Vendruscolo M. 2024. Discovery of potent inhibitors of α-synuclein aggregation using structure-based iterative learning. Nat Chem Biol 20:634–645. doi: 10.1038/s41589-024-01580-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 400. Kimberlin RH, Walker CA. 1979. Antiviral compound effective against experimental scrapie. Lancet 2:591–592. doi: 10.1016/s0140-6736(79)91654-4 [DOI] [Google Scholar]
  • 401. Sim VL. 2012. Prion disease: chemotherapeutic strategies. Infect Disord Drug Targets 12:144–160. doi: 10.2174/187152612800100161 [DOI] [PubMed] [Google Scholar]
  • 402. Teruya K, Doh-ura K. 2017. Insights from therapeutic studies for PrP prion disease. Cold Spring Harb Perspect Med 7:a024430. doi: 10.1101/cshperspect.a024430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 403. Caughey B, Race RE. 1992. Potent inhibition of scrapie‐associated PrP accumulation by congo red. J Neurochem 59:768–771. doi: 10.1111/j.1471-4159.1992.tb09437.x [DOI] [PubMed] [Google Scholar]
  • 404. Caughey B, Caughey WS, Kocisko DA, Lee KS, Silveira JR, Morrey JD. 2006. Prions and transmissible spongiform encephalopathy (TSE) chemotherapeutics: a common mechanism for anti-TSE compounds? Acc Chem Res 39:646–653. doi: 10.1021/ar050068p [DOI] [PubMed] [Google Scholar]
  • 405. Kocisko DA, Caughey B. 2006. Searching for anti-prion compounds: cell-based high-throughput in vitro assays and animal testing strategies. Methods Enzymol 412:223–234. doi: 10.1016/S0076-6879(06)12014-5 [DOI] [PubMed] [Google Scholar]
  • 406. Ferreira NC, Marques IA, Conceição WA, Macedo B, Machado CS, Mascarello A, Chiaradia-Delatorre LD, Yunes RA, Nunes RJ, Hughson AG, Raymond LD, Pascutti PG, Caughey B, Cordeiro Y. 2014. Anti-prion activity of a panel of aromatic chemical compounds: in vitro and in silico approaches. PLoS One 9:e84531. doi: 10.1371/journal.pone.0084531 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 407. Kocisko DA, Baron GS, Rubenstein R, Chen J, Kuizon S, Caughey B. 2003. New inhibitors of scrapie-associated prion protein formation in a library of 2,000 drugs and natural products. J Virol 77:10288–10294. doi: 10.1128/JVI.77.19.10288-10294.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 408. Caughey WS, Raymond LD, Horiuchi M, Caughey B. 1998. Inhibition of protease-resistant prion protein formation by porphyrins and phthalocyanines. Proc Natl Acad Sci USA 95:12117–12122. doi: 10.1073/pnas.95.21.12117 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 409. do Carmo Ferreira N, Caughey B. 2019. Cell-free prion protein conversion assays in screening for anti-prion drug candidates. Curr Opin Pharmacol 44:1–7. doi: 10.1016/j.coph.2018.10.001 [DOI] [PubMed] [Google Scholar]
  • 410. Pritzkow S, Schauer I, Tupaki-Sreepurna A, Morales R, Soto C. 2024. Screening of anti-prion compounds using the protein misfolding cyclic amplification technology. Biomolecules 14:1113. doi: 10.3390/biom14091113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 411. Caughey WS, Priola SA, Kocisko DA, Raymond LD, Ward A, Caughey B. 2007. Cyclic tetrapyrrole sulfonation, metals, and oligomerization in antiprion activity. Antimicrob Agents Chemother 51:3887–3894. doi: 10.1128/AAC.01599-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 412. Ingrosso L, Ladogana A, Pocchiari M. 1995. Congo red prolongs the incubation period in scrapie-infected hamsters. J Virol 69:506–508. doi: 10.1128/jvi.69.1.506-508.1995 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 413. Priola SA, Raines A, Caughey W. 2003. Prophylactic and therapeutic effects of phthalocyanine tetrasulfonate in scrapie-infected mice. J Infect Dis 188:699–705. doi: 10.1086/377310 [DOI] [PubMed] [Google Scholar]
  • 414. Falsig J, Sonati T, Herrmann US, Saban D, Li B, Arroyo K, Ballmer B, Liberski PP, Aguzzi A. 2012. Prion pathogenesis is faithfully reproduced in cerebellar organotypic slice cultures. PLoS Pathog 8:e1002985. doi: 10.1371/journal.ppat.1002985 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 415. Cortez LM, Campeau J, Norman G, Kalayil M, Van der Merwe J, McKenzie D, Sim VL. 2015. Bile acids reduce prion conversion, reduce neuronal loss, and prolong male survival in models of prion disease. J Virol 89:7660–7672. doi: 10.1128/JVI.01165-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 416. Groveman BR, Ferreira NC, Foliaki ST, Walters RO, Winkler CW, Race B, Hughson AG, Zanusso G, Haigh CL. 2021. Human cerebral organoids as a therapeutic drug screening model for Creutzfeldt–Jakob disease. Sci Rep 11:5165. doi: 10.1038/s41598-021-84689-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 417. Mercer RC, Harris DA. 2019. Identification of anti-prion drugs and targets using toxicity-based assays. Curr Opin Pharmacol 44:20–27. doi: 10.1016/j.coph.2018.12.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 418. Mercer RCC, Le NTT, Fraser DG, Houser MCQ, Beeler AB, Harris DA. 2024. Sigma receptor ligands are potent antiprion compounds that act independently of sigma receptor binding. ACS Chem Neurosci 15:2265–2282. doi: 10.1021/acschemneuro.4c00095 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 419. Doh-ura K, Ishikawa K, Murakami-Kubo I, Sasaki K, Mohri S, Race R, Iwaki T. 2004. Treatment of transmissible spongiform encephalopathy by intraventricular drug infusion in animal models. J Virol 78:4999–5006. doi: 10.1128/JVI.78.10.4999-5006.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 420. Kocisko DA, Vaillant A, Lee KS, Arnold KM, Bertholet N, Race RE, Olsen EA, Juteau JM, Caughey B. 2006. Potent antiscrapie activities of degenerate phosphorothioate oligonucleotides. Antimicrob Agents Chemother 50:1034–1044. doi: 10.1128/AAC.50.3.1034-1044.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 421. Kocisko DA, Caughey WS, Race RE, Roper G, Caughey B, Morrey JD. 2006. A porphyrin increases survival time of mice after intracerebral prion infection. Antimicrob Agents Chemother 50:759–761. doi: 10.1128/AAC.50.2.759-761.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 422. Kocisko DA, Caughey B, Morrey JD, Race RE. 2006. Enhanced antiscrapie effect using combination drug treatment. Antimicrob Agents Chemother 50:3447–3449. doi: 10.1128/AAC.00715-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 423. Forloni G. 2025. Doxycycline: an essential tool for Alzheimer’s disease. Biomed Pharmacother 188:118159. doi: 10.1016/j.biopha.2025.118159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 424. Sigurdsson EM, Brown DR, Daniels M, Kascsak RJ, Kascsak R, Carp R, Meeker HC, Frangione B, Wisniewski T. 2002. Immunization delays the onset of prion disease in mice. Am J Pathol 161:13–17. doi: 10.1016/S0002-9440(10)64151-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 425. Napper S, Schatzl HM. 2023a. Vaccines for prion diseases: a realistic goal? Cell Tissue Res 392:367–392. doi: 10.1007/s00441-023-03749-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 426. Wood ME, Griebel P, Huizenga ML, Lockwood S, Hansen C, Potter A, Cashman N, Mapletoft JW, Napper S. 2018. Accelerated onset of chronic wasting disease in elk (Cervus canadensis) vaccinated with a PrPSc-specific vaccine and housed in a prion contaminated environment. Vaccine (Auckl) 36:7737–7743. doi: 10.1016/j.vaccine.2018.10.057 [DOI] [Google Scholar]
  • 427. Napper S, Schatzl HM. 2023b. Oral vaccination as a potential strategy to manage chronic wasting disease in wild cervid populations. Front Immunol 14:1156451. doi: 10.3389/fimmu.2023.1156451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 428. Mead S, Khalili-Shirazi A, Potter C, Mok T, Nihat A, Hyare H, Canning S, Schmidt C, Campbell T, Darwent L, Muirhead N, Ebsworth N, Hextall P, Wakeling M, Linehan J, Libri V, Williams B, Jaunmuktane Z, Brandner S, Rudge P, Collinge J. 2022. Prion protein monoclonal antibody (PRN100) therapy for Creutzfeldt-Jakob disease: evaluation of a first-in-human treatment programme. Lancet Neurol 21:342–354. doi: 10.1016/S1474-4422(22)00082-5 [DOI] [PubMed] [Google Scholar]
  • 429. Herrmann US, Sonati T, Falsig J, Reimann RR, Dametto P, O’Connor T, Li B, Lau A, Hornemann S, Sorce S, Wagner U, Sanoudou D, Aguzzi A. 2015. Prion infections and anti-PrP antibodies trigger converging neurotoxic pathways. PLoS Pathog 11:e1004662. doi: 10.1371/journal.ppat.1004662 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 430. Proske D, Gilch S, Wopfner F, Schätzl HM, Winnacker E-L, Famulok M. 2002. Prion-protein-specific aptamer reduces PrPSc formation. Chembiochem 3:717–725. doi: [DOI] [PubMed] [Google Scholar]
  • 431. Rhie A, Kirby L, Sayer N, Wellesley R, Disterer P, Sylvester I, Gill A, Hope J, James W, Tahiri-Alaoui A. 2003. Characterization of 2′-Fluoro-RNA aptamers that bind preferentially to disease-associated conformations of prion protein and inhibit conversion. J Biol Chem 278:39697–39705. doi: 10.1074/jbc.M305297200 [DOI] [PubMed] [Google Scholar]
  • 432. Shoemaker RL, Larsen RJ, Larsen PA. 2024. Single-domain antibodies and aptamers drive new opportunities for neurodegenerative disease research. Front Immunol 15:1426656. doi: 10.3389/fimmu.2024.1426656 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 433. Mashima T, Nishikawa F, Kamatari YO, Fujiwara H, Saimura M, Nagata T, Kodaki T, Nishikawa S, Kuwata K, Katahira M. 2013. Anti-prion activity of an RNA aptamer and its structural basis. Nucleic Acids Res 41:1355–1362. doi: 10.1093/nar/gks1132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 434. Amato J, Mashima T, Kamatari YO, Kuwata K, Novellino E, Randazzo A, Giancola C, Katahira M, Pagano B. 2020. Improved anti-prion nucleic acid aptamers by incorporation of chemical modifications. Nucleic Acid Ther 30:414–421. doi: 10.1089/nat.2020.0899 [DOI] [PubMed] [Google Scholar]
  • 435. Nazor Friberg K, Hung G, Wancewicz E, Giles K, Black C, Freier S, Bennett F, DeArmond SJ, Freyman Y, Lessard P, Ghaemmaghami S, Prusiner SB. 2012. Intracerebral infusion of antisense oligonucleotides into prion-infected mice. Molecular Therapy - Nucleic Acids 1:e9. doi: 10.1038/mtna.2011.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 436. Raymond GJ, Zhao HT, Race B, Raymond LD, Williams K, Swayze EE, Graffam S, Le J, Caron T, Stathopoulos J, O’Keefe R, Lubke LL, Reidenbach AG, Kraus A, Schreiber SL, Mazur C, Cabin DE, Carroll JB, Minikel EV, Kordasiewicz H, Caughey B, Vallabh SM. 2019. Antisense oligonucleotides extend survival of prion-infected mice. JCI Insight 4. doi: 10.1172/jci.insight.131175 [DOI] [Google Scholar]
  • 437. Zayed M, Kim YC, Jeong BH. 2025. Therapeutic effects of adipose-derived mesenchymal stem cells combined with glymphatic system activation in prion disease. Mol Neurodegeneration 20:42. doi: 10.1186/s13024-025-00835-y [DOI] [Google Scholar]
  • 438. Kocisko DA, Morrey JD, Race RE, Chen J, Caughey B. 2004. Evaluation of new cell culture inhibitors of protease-resistant prion protein against scrapie infection in mice. J Gen Virol 85:2479–2483. doi: 10.1099/vir.0.80082-0 [DOI] [PubMed] [Google Scholar]
  • 439. Basanta B, Nugroho K, Yan NL, Kline GM, Powers ET, Tsai FJ, Wu M, Hansel-Harris A, Chen JS, Forli S, Kelly JW, Lander GC. 2025. The conformational landscape of human transthyretin revealed by cryo-EM. Nat Struct Mol Biol 32:876–883. doi: 10.1038/s41594-024-01472-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 440. Pesch V, Flores-Fernandez JM, Reithofer S, Ma L, Özdüzenciler P, Busch Y, Sriraman A, Wang Y, Amidian S, Kroepel CVM, Müller L, Lien Y, Rudtke O, Frieg B, Schröder GF, Wille H, Tamgüney G. 2024. Vaccination with structurally adapted fungal protein fibrils induces immunity to Parkinson’s disease. Brain 147:1644–1652. doi: 10.1093/brain/awae061 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 441. Heneka MT, Morgan D, Jessen F. 2024. Passive anti-amyloid β immunotherapy in Alzheimer’s disease-opportunities and challenges. Lancet 404:2198–2208. doi: 10.1016/S0140-6736(24)01883-X [DOI] [PubMed] [Google Scholar]
  • 442. Cole TA, Zhao H, Collier TJ, Sandoval I, Sortwell CE, Steece-Collier K, Daley BF, Booms A, Lipton J, Welch M, Berman M, Jandreski L, Graham D, Weihofen A, Celano S, Schulz E, Cole-Strauss A, Luna E, Quach D, Mohan A, Bennett CF, Swayze EE, Kordasiewicz HB, Luk KC, Paumier KL. 2021. α-synuclein antisense oligonucleotides as a disease-modifying therapy for Parkinson’s disease. JCI Insight 6:e135633. doi: 10.1172/jci.insight.135633 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 443. Planche V, Schindler S, Knopman DS, Frisoni G, Galasko D, Grill JD, Schneider L, Karlawish J, Villain N. 2025. The science does not yet support regulatory approval of amyloid-targeting therapies for Alzheimer’s disease based solely on biomarker evidence. Alzheimers Dement 21:e70068. doi: 10.1002/alz.70068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 444. Nam Y, Shin SJ, Kumar V, Won J, Kim S, Moon M. 2025. Dual modulation of amyloid beta and tau aggregation and dissociation in Alzheimer’s disease: a comprehensive review of the characteristics and therapeutic strategies. Transl Neurodegener 14:15. doi: 10.1186/s40035-025-00479-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 445. Amaral L, Martins M, Côrte-Real M, Outeiro TF, Chaves SR, Rego A. 2025. The neurotoxicity of pesticides: Implications for Parkinson’s disease. Chemosphere 377:144348. doi: 10.1016/j.chemosphere.2025.144348 [DOI] [PubMed] [Google Scholar]

Articles from Microbiology and Molecular Biology Reviews : MMBR are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES