Abstract
Neurodegenerative disorders are characterized by progressive loss of selectively vulnerable populations of neurons, which contrasts with select static neuronal loss because of metabolic or toxic disorders. Neurodegenerative diseases can be classified according to primary clinical features (e.g., dementia, parkinsonism, or motor neuron disease), anatomic distribution of neurodegeneration (e.g., frontotemporal degenerations, extrapyramidal disorders, or spinocerebellar degenerations), or principal molecular abnormality. The most common neurodegenerative disorders are amyloidoses, tauopathies, α-synucleinopathies, and TDP-43 proteinopathies. The protein abnormalities in these disorders have abnormal conformational properties. Growing experimental evidence suggests that abnormal protein conformers may spread from cell to cell along anatomically connected pathways, which may in part explain the specific anatomical patterns observed at autopsy. In this review, we detail the human pathology of select neurodegenerative disorders, focusing on their main protein aggregates.
The current gold standard for diagnosing neurodegenerative disorders is neuropathological evaluation at autopsy. Each disorder is typically defined by complex protein abnormalities.
Neurodegenerative disorders can be broadly classified by their clinical presentations, with extrapyramidal and pyramidal movement disorders and cognitive or behavioral disorders being the most common. Few patients have pure syndromes, with most having mixed clinical features. The current diagnostic gold standard is neuropathological evaluation at autopsy (see Table 1 for summary). Although neurodegenerative diseases are typically defined by specific protein accumulations and anatomic vulnerability, neurodegenerative diseases share many fundamental processes associated with progressive neuronal dysfunction and death, such as proteotoxic stress and its attendant abnormalities in ubiquitin–proteasomal and autophagosomal/lysosomal systems, oxidative stress, programmed cell death, and neuroinflammation. Furthermore, it is critical to note that protein abnormalities that define neurodegenerative diseases can be present before the onset of clinical features (Gibb and Lees 1988; Sparks et al. 1994; Schmitt et al. 2000; Adler et al. 2010; Evidente et al. 2011; Frigerio et al. 2011; Milenkovic and Kovacs 2013; Dugger et al. 2014c) and more than one neurodegenerative disease process can be found in an individual (Uchikado et al. 2006a; Dugger et al. 2014a). At present, diagnostic biomarkers are not available, except in rare cases in which a causative genetic mutation can be shown to cause the disorder (Ghasemi and Brown 2016; Gijselinck et al. 2016; Hinz and Geschwind 2016; TCW and Goate 2016). Hence, specific in vivo biomarkers, including biofluid and molecular imaging markers (some highlighted in Kolb and Andres 2016; Seeley 2016), are a major research priority.
Table 1.
Disease | Main neuropathology | Protein aggregate(s) | Main anatomic vulnerability |
---|---|---|---|
Amyloidoses | |||
Creutzfeldt–Jakob disease (genetic, variant, sporadic, iatrogenic) | Spongiform changes Prion protein (PrP) accumulation |
PrP | Cerebral cortex Neostriatum Thalamus Cerebellum |
Gerstmann–Sträussler–Scheinker disease | Spongiform change Multicentric PrP plaques |
PrP | Cerebral cortex Cerebellum |
Familial British dementia | Amyloid angiopathy Parenchymal amyloid plaques | ABRI | Cerebral cortex Cerebellum |
Alzheimer’s disease | Neurofibrillary tangles (NFTs) Neuropil threads Neuritic and amyloid plaques Amyloid angiopathy |
Aβ 3R + 4R tau |
Basal forebrain Frontal and temporal lobes Limbic structures Locus coeruleus Olfactory bulb |
Tauopathies | |||
Chronic traumatic encephalopathy | Astrocytic tau tangles Neuropil threads NFTs |
3R + 4R tau | Frontal, temporal, and parietal lobesDepth of sulci and surrounding vasculature |
Primary age-related tauopathy | NFTs | 3R + 4R tau | Basal forebrain Brainstem Medial temporal lobe Olfactory bulb |
Pick’s disease | Pick bodies Pick cells/ballooned neurons |
3R tau | Basal forebrain Frontal and temporal lobes Limbic structures Striatum |
Progressive supranuclear palsy | Globose NFTs Tufted astrocytes Oligodendroglial coiled bodies Neuropil threads |
4R tau | Subthalamic nucleus Substantia nigra Superior colliculus Cerebellar dentate |
Corticobasal degeneration | Pretangles Astrocytic plaques Neuropil threads Ballooned neurons |
4R tau | Frontoparietal association cortices Neostriatum Substantia nigra |
Argyrophilic grain disease | Argyrophilic grains Ballooned neurons Coiled bodies Ramified astrocytes |
4R tau | Limbic structures |
Aging-related tau astrogliopathy | Thorn-shaped astrocytes Granular astrocytes |
4R tau | Subpial and perivascular spaces Mediobasal forebrain Amygdala |
Synucleinopathies | |||
Lewy body disorders | Lewy bodies Lewy neurites |
α-Synuclein | Amygdala Cerebral cortex Dorsal motor nucleus Hippocampus (CA2) Locus coeruleus Olfactory bulb Substantia nigra |
Multiple system atrophy | Glial cytoplasmic inclusions | α-Synuclein | Putamen Substantia nigra Pontine nuclei Medulla (inferior olivary nucleus) Cerebellum |
TDP-43 Proteinopathies | |||
Frontotemporal lobar degeneration | Neuronal cytoplasmic inclusions Neuronal nuclear inclusions Dystrophic neurites |
TDP-43 | Frontal and temporal cortices Basal ganglia Substantia nigra |
Amyotrophic lateral sclerosis | Upper and lower motor neuron loss Bunina bodies Neuronal inclusions Astrocytic hyaline inclusions |
TDP-43 | Motor cortex Brainstem motor neurons Spinal cord motor neurons |
Primary lateral sclerosis | Upper motor neuron loss Corticospinal tract degeneration |
TDP-43 | Motor cortex Corticospinal tracts |
Progressive muscular atrophy | Lower motor neuron loss Swollen motor neurons |
TDP-43 | Brainstem motor neurons Spinal cord motor neurons |
The most common neurodegenerative disorders are amyloidoses, tauopathies, α-synucleinopathies, and transactivation response DNA binding protein 43 (TDP-43) proteinopathies. Abnormal protein conformations in these disorders and their cellular and neuroanatomical distribution constitute the major histopathologic features essential in making a specific neuropathologic diagnosis. Examples of protein accumulations within neurons include tau in neurofibrillary tangles (NFTs) or Pick bodies, α-synuclein in Lewy bodies, and TDP-43 in neuronal cytoplasmic and neuronal intranuclear inclusions. Protein accumulations within astrocytes include tau in tufted astrocytes, astrocytic plaques, and thorn-shaped astrocytes. Protein accumulations within oligodendroglia include tau in coiled bodies and α-synuclein in glial cytoplasmic inclusions. These abnormal protein aggregates are composed of intrinsic neuronal proteins and other cellular components, in contrast to neuronal inclusions found in viral infections where the protein is foreign. In many cases, the protein has an abnormal conformation with amyloid-like properties. Most form filaments, and their secondary structures are enriched in β-pleated sheets. Amyloid stains, such as Congo red and thioflavin S, can be used to detect many protein aggregates, including amyloid plaques, NFTs, and a subpopulation of Lewy bodies, but other aggregates are better detected with silver-staining methods. Immunohistochemistry is the preferred method for studying neurodegenerative disorders today because of better interlaboratory and inter-rater reliability (Alafuzoff et al. 2009a,b; 2015).
Cross-sectional postmortem evaluations of a large number of human brains from patients with a range of clinical and pathological severity have suggested that many neurodegenerative disorders have a stereotypic progression that can be described by stages. Staging schemes have been developed for Alzheimer’s disease (AD) (Braak and Braak 1991; Thal et al. 2002), Parkinson’s disease (PD) (Braak et al. 2003), dementia with Lewy bodies (DLB) (Kosaka et al. 1984), amyotrophic lateral sclerosis (ALS) (Brettschneider et al. 2013), frontotemporal lobar degeneration associated with TDP-43 pathology (FTLD-TDP) (Brettschneider et al. 2014), and chronic traumatic encephalopathy (CTE) (McKee et al. 2013). Studies highlighted in this volume (Braak and Del Tredici 2016), combined with evidence of functional connectivity from in vivo imaging as discussed in this volume (Seeley 2016), have ushered in a new way of thinking about selective vulnerability in neurodegenerative disorders.
AMYLOIDOSES
Amyloids are insoluble fibrous proteins that have specific structural characteristics, including a β-sheet-rich secondary structure, which permits binding by specific dyes, such as Congo red. The protein abnormalities of almost all common neurodegenerative diseases have some characteristics of amyloid; however, only a subset of these disorders has abundant extracellular protein aggregates, which are the defining feature of non-neural amyloidoses (Westermark et al. 2005). In neurodegenerative diseases, amyloid-like filamentous aggregates are mostly within the cytoplasm of neurons and glia. Extracellular deposits of amyloid can be found in the brain parenchyma as plaques or in the walls of blood vessels as amyloid angiopathy (Fig. 1). Amyloid plaques have a wide range of morphologies and have been further subdivided into diffuse (“primitive”) plaques, dense-cored (“burnt-out”) plaques, “classical” plaques, and cotton wool plaques (Dickson 1997). The morphologic variation is specific to the type or species of amyloid, stage of disease, and to the neuroanatomical location where the deposit is found. The most common amyloidosis is a proteolytic product of the amyloid precursor protein, which is encoded by a gene on chromosome 21 (Kang et al. 1987), and is referred to as β-amyloid or Aβ. Aβ isolated from human brain is biochemically heterogeneous in terms of size of peptide fragments and posttranslational modifications (Kuo et al. 2001). Although Aβ is a defining feature of AD, amyloid deposits are found as a comorbid feature of many neurodegenerative disorders in the elderly, especially in those individuals carrying the major genetic risk factor for AD, apolipoprotein E4 (Josephs et al. 2004). Much less common than Aβ disorders are those in which other types of amyloid are deposited, such as prion protein (PrP) in familial and sporadic Creutzfeldt–Jakob disease (CJD) (Goldfarb et al. 1991) and Gerstmann–Sträussler–Scheinker disease (GSS) (Hsiao et al. 1991), and ABri in familial British and Danish dementias (Vidal et al. 1999, 2000).
Prion Diseases
The key molecular event of prion diseases is the conversion of the normal cellular prion protein, PrPC, into the pathogenic form, PrPSc. The term “prion” was first coined in 1982 by Stanley B. Prusiner as a name for the transmissible agent that caused scrapie in sheep and goats, and appeared to be composed only of protein; it was an amalgamation of the words protein and infection (Prusiner 1982). Because of their transmissibility, prion diseases are classified as infectious diseases. Disorders that have been shown to be caused by PrP include GSS, fatal familial insomnia, kuru, and sporadic (including variant and familial) and iatrogenic CJD (Ellison 2013). There is considerable clinical and pathologic heterogeneity in these disorders, but they all show an accumulation of pathological PrP (Fig. 1B,D) that is associated with neuronal and synaptic loss, microvacuolation (spongiform change, Fig. 1C), and gliosis. By definition, they are transmissible to other humans (naturally or iatrogenically) or to experimental animal models and are sometimes referred to as transmissible spongiform encephalopathies. Prion diseases are categorized based on genetics and route of transmission (for review, see Prusiner 1998).
CJD is often a rapidly progressive dementia, and the brain frequently has little if any atrophy. In some cases, there is decreased brain weight and ventricular enlargement and variable atrophy of the thalamus and caudate nucleus. White matter is relatively spared, with the most characteristic pathology occurring in gray matter. Spongiform change (Fig. 1C) and gliosis occur variably in cerebral and cerebellar cortices, with frequent involvement of subcortical structures (e.g., neostriatum). Spongiform change should not be confused with superficial laminar spongiosis, which is common in other neurodegenerative disorders, especially FTLD (Kertesz et al. 1994) or the restricted spongiform pathology that is frequent in limbic structures and the temporal lobe in DLB (Sherzai et al. 2013). Immunohistochemistry for PrP shows abnormal deposition in a perineuronal (Fig. 1D) or synaptic pattern as perivacuolar deposits or as dense-cored plaques (Budka et al. 1995).
Alzheimer’s Disease
The neuropathology of AD is a mixed proteinopathy that includes the presence of both Aβ deposits in the parenchyma as amyloid or senile plaques (Fig. 1E,F), as well as neuronal tau inclusions (i.e., NFTs) (Fig. 2A,B). Most cases also have amyloid angiopathy (Fig. 1F). It is thought that the earliest amyloid plaques are noncompact, diffuse amyloid deposits (Fig. 1F), which have been referred to as “pre-amyloid” deposits (Tagliavini et al. 1988) because of their weak or absent staining with traditional amyloid dyes. Depending on the brain region, amyloid deposits can also have dense cores (Fig. 1E), which frequently occur in the primary motor and visual cortices. Amyloid plaques have heterogeneous cellular components, including neuronal processes (“dystrophic neurites”) and both astroglial processes and microglia. Microglia are particularly frequent in association with dense deposits (Fukumoto et al. 1996). The most clinically significant type of plaque in AD is one in which there are tau-immunoreactive dystrophic neurites (“neuritic plaques”) (Fig. 2C,D) (Dickson 1997). Determining the density of neuritic plaques and the topographic distribution of NFTs is required for neuropathological diagnosis of AD (Hyman and Trojanowski 1997), with neuritic plaques assessed using a semiquantitative method proposed by the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) (Mirra et al. 1991). The most recent revision of neuropathological criteria (Montine et al. 2012) includes an assessment of topographic distribution rather than density of amyloid deposits using a staging scheme proposed by Thal et al. (2002). The five Thal amyloid “phases” take into account the location of Aβ deposits, with phases 1 and 2 having plaques restricted to the neocortex and hippocampus, progressing to the striatum in phase 3, and to the brainstem and cerebellum in phases 4 and 5, respectively.
TAUOPATHIES
Disorders associated with pathological accumulation of tau protein in neurons and glia are referred to as tauopathies (Lee et al. 2001; Dickson et al. 2011; Spillantini and Goedert 2013; Kovacs 2015) and further subdivided as either primary or secondary. In secondary tauopathies, a driving force other than tau is considered primary. The best example is AD, but others include familial British dementia (Holton et al. 2001) and GSS (Ghetti et al. 1995). Tau is a microtubule-associated phosphoprotein abundant in axons involved in promoting polymerization and stabilization of microtubules (Binder et al. 1985; Buee et al. 2000; Mandelkow and Mandelkow 2012). In addition to phosphorylation, tau undergoes other posttranslational modifications, such as ubiquitination, nitration, glycation, and acetylation, all of which have been linked to abnormal tau that accumulates in degenerative tauopathies (Morishima and Ihara 1994; Alonso et al. 2008; Martin et al. 2011; Cook et al. 2014). Discovery of mutations in the gene for tau protein, MAPT, in frontotemporal dementia and parkinsonism linked to chromosome 17 (FTDP-17T) (Hutton et al. 1998) demonstrated that abnormalities in the tau protein could cause neurodegeneration.
Tau protein exists as six major isoforms produced by alternative mRNA splicing of exons 2, 3, and 10 (Andreadis 2005). Alternative splicing of exon 10 generates three isoforms with four conserved ≈32-amino-acid repeats (4R tau), whereas three isoforms have three repeats (3R tau) in the domain critical for binding to microtubules. The number and types of these tau isoforms vary in a cell-type and disease-specific manner and even segregate in experimental cell models (Woerman et al. 2016). For example, tau in glial cells is composed predominantly of 4R tau. The relative amounts of 3R and 4R tau that accumulate differ in neurodegenerative tauopathies (for further review, see Buee et al. 2000; Andreadis 2005; Mandelkow and Mandelkow 2012). The 4R tauopathies include progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), argyrophilic grain disease (AGD), and some forms of FTDP-17T. The 3R tauopathies include Pick’s disease and some forms of FTDP-17T, whereas 3R/4R tauopathies include AD, CTE, tangle predominant dementia, Guam Parkinson dementia complex, and some forms of FTDP-17T (Mackenzie et al. 2010).
Alzheimer’s Disease
AD is the most prevalent of the tauopathies and is considered a secondary tauopathy because mutations that cause AD in the presenilin genes (PSEN1 and PSEN2) and the amyloid precursor protein gene (APP) are characterized by initial or primary alterations in amyloid metabolism (Hardy et al. 1998). In contrast, mutations in MAPT produce tauopathies, but to date none produce AD. Macroscopic changes in AD include variable atrophy of multimodal association cortices in the frontal, temporal, and parietal lobes, with a subset of cases also showing occipital lobe atrophy. The degree of cortical atrophy correlates closely with the distribution and density of tau pathology and the clinical syndrome, but not with amyloid plaques (Josephs et al. 2008b; Whitwell et al. 2008).
Microscopically, two lesions define the pathology of AD—amyloid plaques (discussed above) and NFTs (Fig. 2A,B), which are composed predominantly of tau protein (Masters et al. 1985; Grundke-Iqbal et al. 1986). As NFTs mature, the neuron bearing the inclusion dies, leaving an extracellular (“ghost”) NFT. Tau aggregates are present not only in neuronal perikarya as NFTs, but also in dystrophic neuronal processes (mostly distal axons) in neuritic plaques (Fig. 2C, D) and in neuritic processes that are pervasive throughout affected gray matter. The latter have been termed “neuropil threads” (Braak et al. 1986). Molecular profiling of tau in AD reveals that there is nearly an equimolar ratio of 3R and 4R tau (Goedert et al. 2006), but immunohistochemistry with monoclonal antibodies specific to 3R and 4R tau show distinct regional differences. For example, the extracellular tangles in the medial temporal lobe are disproportionately immunoreactive for 3R tau (Espinoza et al. 2008).
NFTs in aging and AD progress in an anatomically hierarchical fashion, with six stages proposed by Braak and Braak (1991). In the six Braak NFT stages, stage I begins in the transentorhinal cortices, followed by the hippocampus and limbic cortices (stages II–III) and multimodal association cortices (stages IV–V), with the primary cortices the last affected (stage VI). A recent revision of this scheme suggests that tau pathology in subcortical areas, such as the locus coeruleus in the pons, may precede medial temporal lobe pathology (Braak et al. 2011). Although AD has both NFTs and amyloid deposits, some elderly individuals have only NFTs. This process is termed “primary age-related tauopathy” (PART), with most cases having early Braak NFT stages (I–IV) (Crary et al. 2014).
Although most AD cases follow the Braak staging scheme, a subset of AD, as many as 20%, do not fit. These include patients with severe neurofibrillary pathology relatively limited to limbic lobe structures (“limbic predominant AD”) and patients in which the hippocampus is relatively spared, whereas higher-order neocortical areas bear the brunt of the neurofibrillary pathology (“hippocampal-sparing AD”) (Murray et al. 2011). Limbic predominant AD tends to be a slowly progressive disorder of the elderly with a severe amnestic syndrome, whereas hippocampal-sparing AD often affects younger individuals and may present with focal cortical syndromes (Murray et al. 2011). Although these variants of AD differ with respect to distribution of neurofibrillary pathology, no differences have been detected in the distribution of amyloid plaques to date (Janocko et al. 2012).
Chronic Traumatic Encephalopathy
The sequelae of chronic repetitive head injury have been known for many years as CTE (for review, see Montenigro et al. 2015), but it has also been referred to as “punch drunk syndrome” or “dementia pugilistica,” in part because it was originally reported in boxers (Roberts 1988). The clinical syndrome is variable but often associated with behavioral and cognitive features (Stern et al. 2013). It is considered a primary tauopathy, but unlike all other tauopathies, an etiologic environmental factor (i.e., repetitive concussive or subconcussive head injury) has been identified. This condition has drawn increasing attention for its connection to repetitive head injury associated with contact sports, such as American football (McKee et al. 2009).
Depending on the duration of the disease, the brain may appear macroscopically normal or show varying degrees of cerebral atrophy in the frontal and temporal lobes, with ventricular enlargement. Some patients have fenestration of the cavum septum pellucidum. Tau that accumulates in NFTs in CTE is similar to that in AD, namely, 3R/4R tau (Schmidt et al. 2001). The distribution of NFTs differs from AD, with initial neurofibrillary pathology in superficial cortical layers (Hof et al. 1992), often at the depths of sulci and proximal to blood vessels (Fig. 3A,B), with medial temporal lobe involvement at later stages (McKee et al. 2013).
Recent neuropathologic criteria have been proposed for CTE (McKee et al. 2015). The pathognomonic lesion is abnormal hyperphosphorylated tau in neurons and astroglia distributed around small blood vessels at the depths of cortical sulci and in an irregular pattern. A four-tiered staging scheme has been proposed for CTE, with tau pathology initially in discrete foci (“epicenters”) in the cerebral cortex (stages I and II), with more widespread cortical and medial temporal lobe involvement in stage III. The last stage (stage IV) has pathology affecting the cerebral cortex and subcortical structures (McKee et al. 2013). The staging scheme remains to be validated, but preliminary studies suggest that CTE can be detected in nonprofessional athletes in the setting of other neurodegenerative diseases (Bieniek et al. 2015).
Although astroglial tau pathology is clearly a feature of CTE pathology, it is not specific. The defining lesion in CTE is neuronal tau pathology in a characteristic distribution. CTE must be clearly differentiated from tau astrogliopathy detected in the brains of neurologically normal elderly individuals, so-called “aging related tau astrogliopathy” (ARTAG) (Kovacs et al. 2016). ARTAG usually takes the form of thorn-shaped astrocytes in subpial and perivascular spaces in the mediobasal forebrain (Schultz et al. 2004), but fuzzy or granular astrocytes can be detected in gray matter structures, such as the amygdala (Fig. 3C,D).
Progressive Supranuclear Palsy
PSP is a tauopathy that often presents with atypical parkinsonism with vertical gaze palsy and early unexplained falls, but other clinical presentations are increasingly recognized (Williams and Lees 2009; Dickson et al. 2010). Pathologically, PSP is characterized by abnormal tau within neurons and glia (Fig. 4A–D). Biochemically, it is enriched in 4R tau isoforms (Buee et al. 2000), and there are characteristic low molecular weight cleavage fragments that differentiate PSP from other 4R tauopathies (Arai et al. 2004). The macroscopic findings in PSP include variable (usually mild) frontal cortical atrophy, atrophy of the subthalamic nucleus, atrophy of the midbrain with neuromelanin pigment loss in the substantia nigra, and atrophy of the cerebellar dentate nucleus and the superior cerebellar peduncle. The characteristic microscopic findings are globose NFTs (Fig. 4A, B) in subcortical nuclei, oligodendroglial “coiled bodies” (Fig. 4C) in affected white matter, and tufted astrocytes (Fig. 4D). Tufted astrocytes are frequent in the motor cortex and neostriatum, but sparse in other affected regions. Neuronal loss is most marked in the substantia nigra and subthalamic nucleus, with variable neuronal loss in the globus pallidus and cerebellar dentate nucleus. Neuronal loss correlates with vulnerability to neuronal, not astroglial, tau pathology. Tau also accumulates in neuronal and glial processes (“threads”) in the affected brain regions.
Corticobasal Degeneration
CBD is a tauopathy with degeneration in frontoparietal association cortices and the basal ganglia, and was first recognized as a distinct entity (“cortico–dentato–nigral degeneration with neuronal achromasia”) in 1968 (Rebeiz et al. 1968). The term “CBD” was coined in 1989 by Gibb et al. (1989). The clinical presentation is often a focal cortical syndrome, such as progressive aphasia or progressive asymmetrical apraxia (“corticobasal syndrome”). Many patients also have atypical parkinsonism. The original neuropathologic descriptions focused on cortical neurons with chromatolytic-like changes, also referred to as “ballooned neurons” (Fig. 4F,G). Tau pathology was recognized as a critical component only later (Ikeda et al. 1994; Feany and Dickson 1995). In addition to variable tau immunoreactivity (Fig. 4G), ballooned neurons are immunoreactive for neurofilament and α-B-crystallin (Dickson et al. 2002). They are not only found in cortices that have focal atrophy but also in the cingulate gyrus, amygdala, and claustrum, where they can be found in other age-related disorders as well, such as argyrophilic grin disease (AGD). Characteristic tau astrocytic lesions, astrocytic plaques (Fig. 4H), are abundant in affected cortices and the neostriatum. They are named because of their superficial resemblance to the neuritic plaques of AD; however, astrocytic plaques are not associated with extracellular amyloid (Feany and Dickson 1995). The most common neuronal lesion is a poorly formed cytoplasmic inclusion (“pretangle,” Fig. 4E) that is weakly stained or negative with traditional histologic methods used to detect NFTs in AD. Neuronal and glial lesions in CBD are enriched in 4R tau (Spillantini and Goedert 2013).
Neuropathologic criteria for CBD require neuronal, glial, and thread pathology in the gray and white matter of cortical and subcortical areas (Dickson et al. 2002). Ballooned neurons are supportive. Given the heterogeneity of the cortical involvement and the fact that other disorders can cause focal cortical degenerations (e.g., atypical AD), the antemortem diagnostic accuracy of CBD is poor, and recent clinical criteria reflect this fact (Armstrong et al. 2013). Although clinical syndromes associated with CBD are often asymmetric, patients with symmetrical cortical deficits are increasingly recognized (Hassan et al. 2010). Symmetrical CBD patients are clinically difficult to differentiate from PSP, but they have distinctive pathologic and biochemical findings (Kouri et al. 2011).
Argyrophilic Grain Disease
AGD was originally reported as a distinct tauopathy (Braak and Braak 1987) and thought to be associated with dementia and behavioral disturbances (Tolnay and Clavaguera 2004). However, recent studies have questioned the specificity of this clinical syndrome, as it is associated with mild cognitive impairment (Petersen et al. 2006) and its main effect is to modify the phenotype of the disorder in which it occurs (Josephs et al. 2008c). AGD increases with age and can be detected in up to 50% of individuals over 80 years of age (Togo et al. 2002a). It is found frequently in other 4R tauopathies—20% in PSP and 40% in CBD (Togo et al. 2002a). The characteristic lesions are spindle-shaped tau-immunoreactive lesions (“grains”) in neuronal processes (Fig. 4I), coiled bodies in oligodendrocytes, ramified astrocytes in the amygdala (Fig. 4L), and variably tau-positive ballooned neurons (Fig. 4J, K) in the entorhinal cortex and other limbic areas (Tolnay and Probst 1998). Biochemically, AGD is associated with accumulation of 4R tau (Togo et al. 2002b).
Pick’s Disease
Pick’s disease is a rare neurodegenerative tauopathy originally described by Pick in 1892 and described neuropathologically in 1911 by Alzheimer (for historical review, see Constantinidis et al. 1974). Macroscopically, Pick’s disease has sharply circumscribed, severe (“knife-edge”) gyral atrophy of the frontal and temporal lobes, with ventricular enlargement and variable atrophy of the neostriatum (Dickson 1998). Limbic structures (e.g., hippocampus and amygdala) are often severely affected. Depending on the distribution of the cortical atrophy (which is often asymmetrical), Pick’s disease presents clinically with focal cortical syndromes, such as behavioral variant frontotemporal dementia, progressive aphasia, or even corticobasal syndrome. Some cases have involvement of neuromelanin-containing neurons in the brainstem, but parkinsonism is uncommon.
Microscopically, the defining histologic feature of Pick’s disease is the intraneuronal tau-positive Pick body (Fig. 5B,D), which affects both pyramidal (Fig. 5A,B) and granular-type neurons, such as the neurons of the dentate fascia of the hippocampus (Fig. 5C,D). The tau isoform that preferentially accumulates in Pick’s disease is 3R tau (Buee et al. 2000). Pick bodies are spherical inclusions that are clearly demarcated from the cytoplasm and readily detected on hemotoxylin and eosin (H&E) histological stains (Fig. 5A,C). They are argyrophilic with most silver stains (e.g., Bielschowsky and Bodian stains), but they are negative with the Gallyas silver stain (Uchihara et al. 2005). As in other neurodegenerative diseases, in Pick’s disease there is neuronal loss and gliosis in affected cortical areas. Ballooned neurons (“Pick cells”) are frequent as well.
SYNUCLEINOPATHIES
This class of neurodegenerative diseases is characterized by aggregation of the presynaptic protein, α-synuclein, within neurons and glia (mostly oligodendroglia) (Fig. 6). It is a 140-amino-acid protein initially discovered as a non-amyloid component of senile plaques (NACP) in AD (Ueda et al. 1993). It may play a role in synaptic vesicle trafficking (Sudhof and Rizo 2011). In 1997, mutations in the gene for α-synuclein, SNCA, were discovered in familial PD (Polymeropoulos et al. 1997). Subsequently, α-synuclein was demonstrated to be the major constituent of Lewy bodies (Spillantini et al. 1997). Lewy bodies are neuronal inclusions found in a range of clinical syndromes, including PD, PD with dementia, and DLB. In addition to Lewy body disorders, pathological accumulation of α-synuclein is found in multiple system atrophy (MSA) (Lantos 1998). In MSA, the aggregates are mostly within oligodendrocytes (Fig. 6H), whereas in Lewy body diseases, they are predominantly within neurons (Fig. 6B). In addition to perikaryal Lewy bodies, there is accumulation of α-synuclein in neurites (“Lewy neurites”) (Fig. 6C) (Irizarry et al. 1998), and oligodendroglial inclusions are frequently present in small numbers (Fig. 6D).
Lewy Body Disorders
Clinically diagnosed PD, PD with dementia, and DLB are considered Lewy body disorders, as Lewy bodies are detected in most cases on postmortem examination. Lewy body disorders are more common in men for reasons that remain unexplained. In addition to dementia and parkinsonism, many patients have autonomic dysfunction, sleep disorders, and psychiatric features (e.g., visual hallucinations). At autopsy, there is often minimal, if any, neocortical or brainstem atrophy. The most significant findings are noted upon sectioning the brainstem, where there is loss of neuromelanin pigment in the substantia nigra and locus coeruleus.
There are two main histologic types of Lewy bodies, which are named according to their predominant anatomic location—brainstem-type Lewy bodies, which have a dense, well-circumscribed, hyaline appearance, often with a clear halo (Fig. 6A,B), and cortical-type, which are pale-staining and poorly circumscribed. Proteomic studies have demonstrated that Lewy bodies contain over 300 different proteins (Leverenz et al. 2007), with the defining feature being α-synuclein. Other components that have been reported are neurofilament (Galvin et al. 1997) and the ubiquitin-binding protein p62/sequestosome (Kuusisto et al. 2003). A subset of Lewy bodies shows immunoreactivity with antibodies to tau (Ishizawa et al. 2003), but this is almost always in neuronal populations that are inherently vulnerable to tau pathology. Other studies have demonstrated neurotransmitter synthetic enzymes within Lewy bodies (Dugger and Dickson 2010). The factors that lead to abnormal conformation of α-synuclein remain to be determined, but several posttranslational modifications, including phosphorylation, truncation, and oxidative damage, are implicated (reviewed in Dickson 2001).
A pathological classification of Lewy body diseases was first proposed by Kosaka et al. (1984) to characterize patients who had psychiatric or cognitive deficits, rather than predominantly parkinsonism. He defined three types of Lewy body disease: brainstem predominant, limbic (transitional), and diffuse cortical. The diffuse cortical type usually presented with dementia. The Kosaka classification has been incorporated into diagnostic criteria for DLB (McKeith et al. 2005), and it is also recommended for the classification of Lewy-related pathology in the setting of AD (Montine et al. 2012). Lewy bodies and Lewy neurites, sometimes collectively termed “Lewy-related pathology,” have a stereotypical distribution when found in the setting of PD, which led Braak to propose a staging scheme for PD (Braak et al. 2003). Early pathology was in the olfactory bulb and medulla, followed by upward progression through the brainstem to the mediobasal forebrain and limbic structures and finally to the association and primary cortices. A modification of Braak PD staging is recommended by BrainNet Europe (Alafuzoff et al. 2009a).
Although these staging or classification schemes are useful constructs, they fail to classify up to 50% of elderly subjects with Lewy-related pathology. The disparate staging and classification schemes suggest that there is not a single pathway to neurodegeneration in Lewy-related disorders. PD may have initial α-synuclein aggregates in the brainstem, or even within the peripheral autonomic nervous system, whereas initial α-synuclein aggregates in AD and DLB may be in olfactory and limbic areas (Uchikado et al. 2006b; Beach et al. 2009).
This led to a “unified Lewy body staging scheme” (Beach et al. 2009) with the following hierarchical staging: 0, no Lewy bodies; I, olfactory bulb only; IIa, brainstem predominant; IIb, limbic predominant; III, brainstem and limbic; and IV, neocortical. More recently, Toledo and colleagues (2016) have proposed a modification based on cluster analysis of a large number of cases of AD with Lewy bodies.
Most cases of DLB and PD with dementia have diffuse involvement of the cerebral cortex (Halliday et al. 2008, 2011). It is critical to note that many Lewy body disorders, especially DLB and PD with dementia, have concomitant AD-type pathology (Dugger et al. 2014a). Roughly half of PD with dementia is hypothesized to be because of progression of the underlying coexistent AD (Dugger et al. 2012). Furthermore, the 2005 diagnostic criteria for DLB take into account both Lewy-related and AD-type pathologies to predict the likelihood that the observed pathology would be associated with the DLB clinical syndrome (McKeith et al. 2005).
Multiple System Atrophy
MSA, historically known as olivopontocerebellar atrophy (OPCA), striatonigral degeneration, or Shy–Drager syndrome, is clinically and pathologically divided into two subtypes: olivopontocerebellar atrophy, presenting with cerebellar ataxia (MSA-C), and striatonigral degeneration, presenting with atypical parkinsonism (MSA-P). In both subtypes, there is significant and often disabling autonomic dysfunction (Gilman et al. 2008). A subset of patients has features of both MSA-C and MSA-P. Despite clinical and pathological differences, the subtypes of MSA share pathognomonic α-synuclein inclusions in oligodendrocytes known as glial cytoplasmic inclusions (Lantos 1998).
Depending on the subtype, macroscopic findings differ. In striatonigral degeneration, there is atrophy and discoloration of the posterolateral putamen with depigmentation of the substantia nigra, especially the ventrolateral regions. There is also excessive iron-type pigment in the putamen. In olivopontocerebellar degeneration, there is atrophy of the pontine base with demyelination of the middle and inferior cerebellar peduncles, often with mild atrophy of the inferior olivary nucleus and the cerebellum, especially the vermis. The affected white matter often has atrophy and dusky gray discoloration. Although the pathognomic lesion of MSA is the glial cytoplasmic inclusion (Fig. 6H), neuronal cytoplasmic inclusions are also found in the putamen, the nuclei of the pontine base (Fig. 6F), and the inferior olivary nucleus (Fig. 6G), and less often in limbic structures, such as the dentate gyrus of the hippocampus (Fig. 6E) (Cykowski et al. 2015). Some evidence supports that α-synuclein deposits within MSA have prion properties, as demonstrated by their transmissibility to transgenic mice and cultured cells (Watts et al. 2013; Prusiner et al. 2015).
TDP-43 PROTEINOPATHIES
TDP-43 is a 43-kDa protein that can function in transcriptional repression, modulating gene splicing, RNA metabolism, and stress granules (Ratti and Buratti 2016). In 2006, TDP-43 was discovered to be the major component of neuronal inclusions in ALS and frontotemporal lobar degeneration with ubiquitin inclusions (Neumann et al. 2006), now referred to as FTLD-TDP. TDP-43 is normally a nuclear protein, but in neurodegenerative diseases, it forms inclusion bodies in the cytoplasm, nucleus, and cell processes (Fig. 7). In addition to ALS and FTLD-TDP, abnormal TDP-43 can be detected in 25% to 50% of AD cases, mainly in a limbic distribution (Amador-Ortiz et al. 2007; Hu et al. 2008; Josephs et al. 2014), and in even higher frequencies in AGD cases (Fujishiro et al. 2009; Arnold et al. 2013). In addition, although not pathognomonic, TDP-43 is detected in the majority of cases of hippocampal sclerosis of the elderly, which is characterized by selective neuronal loss affecting the CA1 sector of the hippocampus and is associated with an amnestic clinical syndrome (Amador-Ortiz et al. 2007).
Amyotrophic Lateral Sclerosis
ALS affects both upper and lower motor neurons and clinically is associated with weakness, muscle atrophy, and fasciculations, as well as long-tract signs (“spasticity”). ALS can be subtyped based on the relative involvement of primarily upper motor neurons (primary lateral sclerosis) or primarily lower motor neurons (progressive muscle atrophy). It can also be classified based on neuroanatomical distribution (e.g., bulbar and spinal forms). A subset of patients develops dementia that has many characteristics in common with FTD (Lomen-Hoerth et al. 2002). Most ALS is associated with TDP-43 pathology, but less common forms have other characteristic molecular signatures (Ince et al. 2011).
The macroscopic findings in ALS are often subtle. There may be mild atrophy of the motor cortex, and the spinal cord is often atrophic, with atrophy of anterior spinal nerve roots. In patients with dementia, there may be focal atrophy of the temporal and frontal lobes. Microscopically, there is neuronal loss and gliosis affecting the lower motor neurons in the spinal cord and brainstem, as well as the upper motor neurons (Betz cells) in the motor cortex. Surviving neurons often have TDP-43 inclusions that can sometimes be seen in routine histologic sections (Fig. 7A); they are best viewed with TDP-43 immunohistochemistry (Fig. 7B). Neuronal inclusions can also have a skein-like appearance (Fig. 7C). There are often sparse oligodendroglial inclusions in motor tracts (Fig. 7D). Although motor neurons are most vulnerable, there is spread of the pathology to extramotor sites (e.g., hippocampus, amygdala, and cortex) in cases with longstanding disease or in those with dementia (Brettschneider et al. 2013).
FTLD-TDP
The most common pathological type of frontotemporal dementia is associated with TDP-43 pathology. Less common forms of FTLD have other characteristic molecular signatures (Mackenzie et al. 2010; Mackenzie and Neumann 2016), but this discussion focuses only on FTLD-TDP. There are several clinical presentations: behavioral variant, progressive agrammatic (nonfluent) aphasia, and progressive aphasia, semantic variant (Bang et al. 2015). The macroscopic appearance of FTLD-TDP depends on the clinical presentation, but often has frontal and temporal neocortical atrophy, often with neostriatal atrophy and substantia nigra depigmentation. There are three major types of TDP-43 inclusions: neuronal cytoplasmic inclusions, dystrophic neurites, and neuronal intranuclear inclusions (Fig. 7E–H). Shortly after the discovery of TDP-43, two groups described neuroanatomical and morphological subtype inclusions in FTLD (Mackenzie et al. 2006; Sampathu et al. 2006). These two systems were combined in 2011 into a single classification scheme (Mackenzie et al. 2011). Type A is the most common type in patients with mutations in the progranulin gene (GRN) who present clinically with either progressive nonfluent aphasia or behavioral variant FTD. TDP-43 is present in coarsely granular neuronal cytoplasmic inclusions in hippocampal dentate fascia (Fig. 7E and inset) and present in more variable neuronal cytoplasmic inclusions in the neocortex (Fig. 7F). There are also short, thin dystrophic neurites in superficial layers of the cortex (Fig. 7F), as well as variable numbers of neuronal intranuclear inclusions (inset in Fig. 7F). Type B, which can be associated with motor neuron disease, is predominantly characterized by neuronal cytoplasmic inclusions with few or no neurites and no neuronal intranuclear inclusions, as occurs most commonly in patients with hexanucleotide expansions in the C9ORF72 gene (DeJesus-Hernandez et al. 2011; Renton et al. 2011). Type C is not associated with genetic mutations, and patients usually present with a semantic variant of progressive aphasia. This type is characterized by long, thick dystrophic neurites randomly oriented in all cortical layers (Fig. 7H and inset). Well-circumscribed (Pick-body-like) neuronal cytoplasmic inclusions are found in the hippocampus, amygdala, and basal ganglia (Fig. 7G and inset) (Josephs et al. 2008a). A fourth type, Type D, is rare and associated with mutations in the valosin-containing protein (VCP) and presenting with inclusion body myositis, Paget’s disease of bone, and frontotemporal dementia (Neumann et al. 2007; Weihl et al. 2008). Type D is characterized by numerous neuronal intranuclear inclusions in cortical and subcortical areas.
CONCLUDING REMARKS
Although, in this review, each neurodegenerative disease is presented as a distinct entity, there is often overlap, most notably for AD and Lewy body pathologies. None of the neurodegenerative disorders have perfect diagnostic accuracy, and neuropathology will continue to be the gold standard for the foreseeable future. Studying disease heterogeneity at autopsy is key to understanding discrepancies between clinical and pathological diagnoses (Hughes et al. 1992; Josephs and Dickson 2003; Beach et al. 2012; Adler et al. 2014). This is a critical concept because there are many efforts to develop biomarkers to diagnose these diseases and to monitor disease progression in clinical trials. Many studies dichotomize only on the presence or absence of the clinical syndrome. The increasing complexity of neuropathological findings necessitates that all aspects of the antemortem clinical picture, not just the key cardinal signs or symptoms, be considered to study their molecular and structural correlates (Armstrong et al. 2005; Selikhova et al. 2009; Halliday et al. 2011; Murray et al. 2011; Dugger et al. 2014a,b; Thenganatt and Jankovic 2014). Neuropathologists need not only to make diagnoses, but also to collect standardized clinical, pathological, and genetic characteristics of their patients. At a minimum, this should include age of onset, symptom duration, clinical diagnosis, clinical indices of disease severity, and the density and distribution of the various pathologic processes. These are all critical factors to consider, as pathological heterogeneity may affect statistical power and significance, and perceived effect sizes in clinical trials and biomarker studies.
ACKNOWLEDGMENTS
D.W.D. is supported by grants AG037491 (PI: Josephs), NS084974 (PI: Petrucelli), NS072187 (PI: Dickson), and AG016574 (PI: Petersen) from the National Institutes of Health, as well as the Robert E. Jacoby Professorship and the Mangurian Foundation Lewy Body Dementia Program at Mayo Clinic. B.N.D. is supported by grants AG002132 (Core C) (PI: Dugger) from the National Institutes of Health, as well as the CurePSP foundation (PI: Dugger), the Henry M. Jackson Foundation (HU0001-15-2-0020, PI: Prusiner), and Daiichi Sankyo Co., Ltd. (PI: Prusiner).
Footnotes
Editor: Stanley B. Prusiner
Additional Perspectives on Prion Biology available at www.cshperspectives.org
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