Skip to main content
Frontiers in Aging Neuroscience logoLink to Frontiers in Aging Neuroscience
. 2020 Feb 4;12:3. doi: 10.3389/fnagi.2020.00003

Peripheral Routes to Neurodegeneration: Passing Through the Blood–Brain Barrier

Patrizia Giannoni 1, Sylvie Claeysen 2, Francesco Noe 3, Nicola Marchi 2,*
PMCID: PMC7010934  PMID: 32116645

Abstract

A bidirectional crosstalk between peripheral players of immunity and the central nervous system (CNS) exists. Hence, blood–brain barrier (BBB) breakdown is emerging as a participant mechanism of dysregulated peripheral–CNS interplay, promoting diseases. Here, we examine the implication of BBB damage in neurodegeneration, linking it to peripheral brain-directed autoantibodies and gut–brain axis mechanisms. As BBB breakdown is a factor contributing to, or even anticipating, neuronal dysfunction(s), we here identify contemporary pharmacological strategies that could be exploited to repair the BBB in disease conditions. Developing neurovascular, add on, therapeutic strategies may lead to a more efficacious pre-clinical to clinical transition with the goal of curbing the progression of neurodegeneration.

Keywords: blood–brain barrier, neurodegeneration, peripheral immunity, traumatic brain injury, status epilepticus, autoantibodies, gut–brain axis, inflammation

Brain Barriers’ Paths, Leaks, and Neurodegeneration

The term neurodegenerative describes a progressive deterioration of the central nervous system (CNS) that is frequently associated with abnormal accumulation of proteins. Importantly, neurofibrillary tau-protein tangles are not only a major sign of Alzheimer’s disease (AD) but are reported in temporal lobe epilepsy and post-traumatic encephalopathies (Tai et al., 2016). Among the emerging disease mechanisms, a peripheral–CNS pathological interplay is proposed to contribute to the neurodegenerative process (Marchi et al., 2014; Engelhardt et al., 2017; Fung et al., 2017; Pavlov and Tracey, 2017; Prinz and Priller, 2017; Le Page et al., 2018). Accordingly, harmful events occurring at the cerebrovascular interface are being examined as key determinants partaking to or even preceding neurodegeneration (Zlokovic, 2011; Nation et al., 2019; Sweeney et al., 2019). At the cerebrovasculature, specialized endothelial cells, mural cells, and astroglia constructs (Abbott et al., 2010; Giannoni et al., 2018; Sweeney et al., 2019) provide physical and biological properties governing the homeostatic–immune interactions between peripheral blood cells, or molecules, and brain neuroglia. The physiological parenchymal milieu composition ensures a healthy neuronal transmission, attainable because of the tightness of the blood–brain barrier (BBB; Zlokovic, 2008; Giannoni et al., 2018; Nation et al., 2019). At the pial arterial and venous level, the cerebrovasculature is permissive to blood cells or molecules, while it becomes impermeable at the arteriole–capillary level where barriers’ properties are fully established (Abbott et al., 2010). BBB vessels also contribute to cerebrospinal and interstitial fluid movements and the elimination of waste products from the interstitial and perivascular spaces (Noé and Marchi, 2019).

It is increasingly recognized that a BBB pathological imprint can provoke a brain pro-inflammatory disequilibrium sufficient to modify neuronal activity in the long term (Marchi et al., 2007, 2014; Nation et al., 2019). Vascular-dependent mechanisms of neurodegeneration can rapidly elicit as a consequence of peripheral infections, head trauma, ischemic stroke, or status epilepticus (Figure 1; Nation et al., 2019; Sweeney et al., 2019). These are risk factors for the development of long-term neurodegenerative sequelae and encephalopathies (e.g., post-concussion or head trauma-related chronic traumatic encephalopathy, CTE), cerebral amyloid angiopathy (CAA), AD, and epilepsy. Under conditions of increased BBB permeability, an aberrant bidirectional exchange between the neurovascular unit and the peripheral blood occurs, compounding to neurodegenerative modifications (Figure 1; Marchi et al., 2014; Engelhardt et al., 2017; Fung et al., 2017; Pavlov and Tracey, 2017; Prinz and Priller, 2017; Le Page et al., 2018). Completing a vicious cycle, beta-amyloid deposition in the brain can provoke capillaries dysfunction (Thomas et al., 1996; Zhang et al., 1997; Iadecola et al., 1999; Deane et al., 2003, 2012; Nortley et al., 2019). As an example, reactive oxygen species and endothelin-1 production were proposed to elicit vasoconstriction at pericyte locations (Nortley et al., 2019). A question remains regarding whether the endothelin-1 mechanism can directly drive neurodegeneration.

FIGURE 1.

FIGURE 1

The periphery–brain interplay and CNS disease: the neurovascular pathological imprint. (A) Proper peripheral–brain segregation under healthy conditions (neurovascular unit, NVU; blue lines). (B) Pathological insult(s) elicited in the periphery or in the brain (traumatic brain injury, TBI; status epilepticus, SE) converge to NVU damage (e.g., BBB permeability) and neuro-inflammation, leading to temporary or prolonged loss of brain homeostatic control (B1, red arrows). (B2) Under conditions of BBB permeability, concentration gradients favor brain-derived proteins to extravasate into the peripheral blood. Under this condition, a peripheral auto-immune reaction may mount leading to the production of autoantibodies, possibly re-entering into the CNS if BBB damage endures (B3).

Autoantibodies and Neurodegeneration: Bad, Good, or Nil?

The communication between the peripheral blood and the brain occurs at preferential cerebrovascular sites (Zlokovic, 2011; Noé and Marchi, 2019), e.g., at post-capillary venules or pial vessels, and by a system of lymphatic vessels draining the cerebrospinal and interstitial fluids to cervical lymph nodes (Aspelund et al., 2015; Louveau et al., 2015a, b, 2018). At the intravascular level, moving leukocytes shape a peripheral–brain immune dialog where endothelium activation or permeability, perivascular immune cell homing, and brain entry of immune soluble factors prompt and sustain neuroglia inflammation [Figure 1; see Engelhardt et al. (2017) and Ransohoff (2016) for fundamental aspects of endothelial–leukocyte adhesion]. The implication of the cerebrovascular interface to innate and adaptive modalities of immunity is central (Schwartz and Shechter, 2010; Sommer et al., 2017). Adaptive immunity to the brain requires T- and B-cell stimulation at extra-CNS lymphatic organs and by professional antigen-presenting cells (Janeway et al., 2001), thus implying the existence of a peripheral–brain immune dialog, e.g., via the CNS vascular and lymphatic routes (Noé and Marchi, 2019).

A question exists on whether neurodegeneration may result from autoimmune-like processes (Table 1). Contingent to a prolonged or recurrent BBB permeability, specific antigens could exit the brain to reach the bloodstream, mounting a peripheral humoral response. Newly formed brain-directed autoantibodies could be neuropathological upon their entry into the brain across a continuously damaged BBB (Levin et al., 2010). Importantly, autoantibodies and autoreactive T cells were reported in the cerebrospinal fluid (CSF), sera, as well as in the brain of AD patients and experimental models of disease (Table 1; Kronimus et al., 2016; Wu and Li, 2016). Anti-Aβ antibodies (Ig type G) correlated with scores of dementia (Wilson et al., 2009). Intrathecal antibodies against tau filaments were reported in AD patients (Mruthinti et al., 2004) and were proposed as contributors of disease progression (Bartos et al., 2012). Anti-tau autoantibodies are not specific to AD as they are increased in patients suffering from other neurodegenerative diseases, e.g., multiple sclerosis (Fialová et al., 2011).

TABLE 1.

Autoantibodies reported in neurodegenerative disease and post-TBI.

Autoantibodies Neuro- pathology Stage Model investigated Sample Observed effects Isotype References
Anti-neuronal antibody TBI Moderate acute TBI AM Serum IgG Rudehill et al., 2006
Anti-neurofilament AD Moderate forms of AD H Serum, CSF IgG. IgM Bartos et al., 2012
Anti-Aβ AD Mild to severe forms of AD, early and late onset H Serum, CSF Suggested to favor Aβ clearance; correlation with global scores of dementia IgG {IgG2}, Nab Myagkova et al., 2001; Bell et al., 2010; Daneman et al., 2010; Schwartz and Shechter, 2010; Armulik et al., 2017; Kisler et al., 2017; Rustenhoven et al., 2017; Sommer et al., 2017; Montagne et al., 2018; Nikolakopoulou et al., 2019
Anti-Tau AD, TBI Mid to severe forms of AD H Serum, CSF, tissue Levels correlated with reduced Plaque burden IgG, Nab Du et al., 2001; Weksler et al., 2002; Mruthinti et al., 2004; Brettschneider et al., 2005; Rosenmann et al., 2006; Gruden et al., 2007; Gustaw et al., 2008; Britschgi et al., 2009; Wilson et al., 2009; Maftei et al., 2013; Qu et al., 2014
Anti-AMPA receptor AD, TBI Moderate to severe AD Mild and repetitive concussion in children H Serum Levels increased in moderate and severe dementia Goryunova et al., 2007
Anti-NMDA receptor AD, TBI Moderate to severe AD and dementia, mild and repetitive concussion H Serum Relationship between autoantibody titers and aging IgG Goryunova et al., 2007; Busse et al., 2014
Anti-acetyl choline receptor TBI TBI to different severity in children H Serum Levels correlate with trauma severity Sorokina et al., 2011
Anti-Dopamine AD Mid to severe forms of AD H Serum Match to moderate to severe dementia progression IgG Myagkova et al., 2001; Gruden et al., 2007
Anti-5-HT AD Mild to severe forms of AD H Serum Levels increased during mild dementia Myagkova et al., 2001
Anti-GFAP AD, TBI Pre-senile and senile forms of AD, senile vascular dementia H Serum Relationship between autoantibody titers and aging suggested as a maker of BBB damage IgG Tanaka et al., 1989; Gruden et al., 2007
Anti-S100β AD, TBI Mild to severe AD, senile vascular dementia, repealed acute sub-concussion H Serum Match to moderate–severe dementia progression; relationship between autoantibody titers and aging IgG Mecocci et al., 1995; Gruden et al., 2007; Marchi et al., 2013
Anti-microglia AD Mid to severe forms of AD H CSF IgG McRae et al., 2007
Anti-phospholipid AD, TBI Mid cognitive impairment to advanced AD, severe TBI H Serum, CSF Levels correlate with erythrocytes and proteins in CSF IgG McIntyre et al., 2007; McIntyre et al., 2015
Anti-ceramide AD Chronic pathology in TG mice AM Serum Levels correlate with plaque formation IgG Dinkins et al., 2015
Anti-RAGE AD Mild cognitive impairment to severe AD H Serum Relationship with anti-Aβ levels; correlation with global scores of dementia IgG Mruthinti et al., 2004; Wilson et al., 2009
Anti-ATP synthase AD Mild to severe AD H Serum Induced the inhibition of ATP synthesis IgG Vacirca et al., 2012
Anti-pituitary TBI Mild to severe TBI, acute and long-term H Serum Association between antibody positivity and hypopituitarism due to head trauma IgG Tanriverdi et al., 2008; Tanriverdi et al., 2010; Pani et al., 2019
Anti-adrenergic receptors AD Mild to moderate dementia H Serum Suggested contribution to vascular lesions and increased plaque formation IgG Karczewski et al., 2012

AM, data derives from animal models only.

The significance of peripheral autoantibodies as biomarkers of neurodegenerative conditions also remains to be established. Autoantibodies against the glutamate receptor N-methyl-D-aspartate receptor (NMDAR) were detected in plasma of AD patients (Davydova et al., 2007). Levels of antibodies were shown to correlate with clinical severity, as patients affected by moderate and severe dementia presented a twofold autoantibody increase compared with patients suffering from mild dementia (Davydova et al., 2007). The presence of autoantibodies against 5-HT was also reported (Myagkova et al., 2001), with levels increasing during the mild phase of the disease, subsequently reaching a plateau (Myagkova et al., 2001). Similar findings were reported for autoantibodies directed against the receptor for advanced glycation end products (Wilson et al., 2009). In a transgenic model of AD, autoantibodies against the sphingolipid ceramide correlated with amyloid plaque increase (Posse de Chaves and Sipione, 2010; Dinkins et al., 2015). Autoantibodies against ATP synthase (Vacirca et al., 2012), α(1)-adrenergic, and the β(2)-adrenergic receptors were also reported (Karczewski et al., 2012). Autoantibodies against the α(1)-adrenergic and the β(2)-adrenergic receptors may contribute to vascular lesions and increased plaque formation in AD patients (Karczewski et al., 2012).

Importantly, not all autoantibodies are harmful. Brain-reactive natural autoantibodies (NAbs) are protective (Britschgi et al., 2009; Kellner et al., 2009; Dodel et al., 2011; Bach and Dodel, 2012). NAbs are mostly IgM and are spontaneously produced. NAbs are polyreactive with low affinity for self-antigens (Casali and Schettino, 1996). Physiologically, NAbs facilitate phagocytosis of apoptotic cells, inhibit inflammatory pathways, and have a role in maintaining immune tolerance (Elkon and Silverman, 2012). NAbs to Aβ can inhibit plaque aggregation, block Aβ toxicity, and catalyze Aβ clearance (Lindhagen-Persson et al., 2010). Immunotherapies using specific, or aspecific, autoantibodies were tested. Bapineuzumab is the humanized form of a monoclonal anti-Aβ antibody targeting the N-terminus of Aβ. In phase II trials, Bapineuzumab administration reduced Aβ plaques in AD brains (Salloway et al., 2009; Rinne et al., 2010) and was associated with decreased total and phospho-tau levels in the CSF (Asuni et al., 2007). Bapineuzumab was, however, discontinued after a phase III trial and showed no beneficial effects on cognitive or functional outcomes (U.S. National Library of Medicine, 2019a, b). Aducanumab (BIIB037) is a human monoclonal antibody selectively targeting aggregated Aβ (oligomers and fibrils) (Sevigny et al., 2016). An Aducanumab phase III trial was terminated as endpoints were not meet. The analysis of a larger data set is ongoing. Tau immunotherapies are also being developed, attenuating or preventing functional impairment in experimental models, as reviewed in Sigurdsson (2018).

Autoantibodies and Post-Traumatic Encephalopathy

Resulting from repeated head trauma and BBB damage, chronic traumatic encephalopathy (CTE) presents with accumulation of neurofibrillary tau-protein tangles. In TBI subjects, blood and CSF autoantibodies were suggested as etiological components or as possible biomarkers of neurodegeneration (Raad et al., 2014; Kobeissy, 2015; Table 1). Anti-glial fibrillary acidic protein (GFAP) fragments were found in the sera of TBI patients (Zhang et al., 2014). Serum autoantibodies against S100B were reported in American football players when repeated sub-concussive events were associated with BBB damage (Marchi et al., 2013). Autoantibodies against the neuronal α7-subunit of the acetylcholine receptor (Sorokina et al., 2011) as well as AMPA and NMDA receptors (Goryunova et al., 2007) were detected in TBI subjects, while IgG autoantibodies to neurons and basal lamina were reported in rat serum following experimental head trauma (Rudehill et al., 2006). Autoantibodies to the pituitary gland were reported in TBI subjects 3 years after the trauma (Tanriverdi et al., 2008, 2010). Damage to the pituitary gland is distinctive of the TBI pathology with 20–50% of patients showing some degrees of pituitary dysfunction, which affects growth hormone production (Aimaretti et al., 2005; Tanriverdi et al., 2006). An association between anti-pituitary autoantibodies and pituitary dysfunction was reported in patients suffering from mild TBI, including repetitive concussions (Tanriverdi et al., 2010).

Autoreactive antibodies have been proposed for the treatment of TBI sequelae. The presence of hyper-phosphorylated tau accumulating in neurofibrillary tangles is a characteristic of CTE (Omalu et al., 2010). Even if phospho-tau is detectable only at low levels acutely after TBI (Smith et al., 2003; Blennow et al., 2012; Goldstein et al., 2012; Mannix et al., 2013), a specific form of phospho-tau can be produced in response to TBI (cis P-tau) (Kondo et al., 2015). This protein spreads throughout the brain, harming cells and leading to post-traumatic neurodegeneration and dementia. In two animal models of TBI, administration of a monoclonal antibody discriminating between the cis and the trans forms of the protein and blocking cis P-tau prevented the onset of tauopathy and cortical atrophy. These accumulating evidence supports the possible involvement of autoantibodies in post-TBI neurodegenerative conditions, perhaps providing new disease biomarkers and therapeutic entry points.

The Gut–Brain Axis and Neurodegeneration: Is There a Barrier Implication?

Here, we discuss a specific framework where alterations of the gut microbiota (GM) could impact BBB permeability, promote neuro-inflammation, and favor neurodegenerative modifications (Figure 2; Braniste et al., 2014; Cerovic et al., 2019; Parker et al., 2019; Wang et al., 2019). Bacteria, viruses, parasites, and non-pathogenic fungi constitute the intestinal microbiota. These complex communities of microbes colonizing the gastrointestinal tract are major players in health. Modern life and diets have progressively induced changes in the composition of the GM, perhaps for the worse, as this can contribute to chronic illnesses (Lozupone et al., 2012; Myles, 2014; Kumar and Forster, 2017; Shanahan et al., 2017; Cryan et al., 2019; Pagliai et al., 2019; Reza et al., 2019). Intestinal microbes can influence brain function through a continuous dialog involving the immune, the vascular, and the nervous systems (Figure 2; Schroeder and Bäckhed, 2016; Cox and Weiner, 2018; Butler et al., 2019; Cryan et al., 2019). Modifications in the composition of the GM was reported in brain disorders, such as autism (Adams et al., 2011; Kang et al., 2019), depression (Kelly et al., 2016; Zheng et al., 2016), Parkinson’s disease (Scheperjans et al., 2015; Sampson et al., 2016), and AD (Cattaneo et al., 2017; Vogt et al., 2017; Zhuang et al., 2018). Intriguingly, the extent of the amyloid pathology in AD mice appears to be dependent of the microbial status, which is specific to the animal housing facility. APP/PS1 mice bred in a germ-free facility displays decreased amyloid plaque number compared to mice housed in non-germ-free conditions (Harach et al., 2017). Moreover, the administration of broad-spectrum, combinatorial antibiotics to APP/PS1 mice, either during the peri-natal or the adult stage, reduced brain Aβ deposition (Minter et al., 2016, 2017).

FIGURE 2.

FIGURE 2

Gut–brain axis: communication routes and physiological barriers. A double, peripheral, and brain homeostatic control is performed by the intestinal–epithelial and blood–brain barriers under healthy conditions. Rupture of one barrier (e.g., gut) may impact the other (e.g., brain), with the blood stream and the immune system being the facilitators or the arbitrators of the pathological spread and neuro-inflammation.

Existing reports support the hypothesis of a possible infectious origin of AD. Aβ was proposed as an antimicrobial peptide (Soscia et al., 2010; Moir et al., 2018) responding to pathogens (Kumar et al., 2016; Eimer et al., 2018). Infectious agents, such as Chlamydia pneumonia, Proprionibacterium acne, Helicobacter pylori, Porphyromonas gingivalis, or spirochetes, are associated with AD (Kornhuber, 1996; Balin et al., 1998; Kountouras et al., 2006; Miklossy, 2011; Poole et al., 2015). A microbial hypothesis is supported by evidence describing the presence of viruses, such as Herpes simplex virus type I, in the brains of AD patients (Lin et al., 2002; Alonso et al., 2014; Itzhaki et al., 2016).

Within the complex interplay between the gut microbiome and the CNS, a role for brain barriers and neuroinflammation is becoming important (Braniste et al., 2014; Cerovic et al., 2019; Parker et al., 2019; Wang et al., 2019). The impact of the gut microbiome composition on CNS health was reported (Amedei and Boem, 2018; Chu et al., 2019; Sherwin et al., 2019; Virtue et al., 2019). Recent work demonstrated that GM composition controls BBB development and permeability in mice (Braniste et al., 2014). In AD, increased gut permeability due to GM dysbiosis was reported during prolonged stress. In this condition, molecules that are normally secluded in the intestine, e.g., inflammatory mediators, bacteria, or bacterial-derived agents, could leak out and reach the peripheral blood. Bacterial DNA, metabolites, or proteins circulating in the blood stream could, in turn, modify BBB permeability (Braniste et al., 2014; Myles, 2014; Kumar and Forster, 2017; Cerovic et al., 2019; Parker et al., 2019; Wang et al., 2019). Existing reports indicated bacterial DNA in human blood with a possibility for brain access (Lelouvier et al., 2016; Païssé et al., 2016; Schierwagen et al., 2018). Brain entry of P. gingivalis, a bacterium associated with periodontal disease, has been described (Dominy et al., 2019). Gingipain inhibitors reduced the bacterial load and the bacteria-induced neuro-inflammation in a mouse model (Dominy et al., 2019). Among Spirochetes, Borrelia burgdorferi is a strain associated with Lyme dementia that could enter the brain. In humans, this specific strain can form biofilms similar to senile plaques. Aβ and bacterial DNA appear as important constituents of these biofilms, suggesting that amyloid plaques may originate in association with or from the spirochetal colonies (Allen, 2016; Miklossy, 2016).

These examples highlight the need of tightly regulated intestinal and brain barriers (Rahman et al., 2018). In AD, a dysbiotic GM may enhance gut permeability and alter BBB integrity, allowing the access of infectious agents or associated molecules into the brain (Martin et al., 2018). Significantly, intestinal and brain barriers are reactive to analogous pro-inflammatory triggers. Circulating inflammatory cytokines IL-17, interferon-gamma (IFN-γ), and the small intestine epithelium protein zonulin can damage the intestinal–epithelia and BBBs (Rahman et al., 2018).

Gut Microbiota and Autoantibodies: Initial Clues

Hypotheses linking modifications of the GM and production of autoantibodies are emerging (Petta et al., 2018). Some evidence supports the concept that specific dietary components may affect B-cell maturation and activity, ultimately leading to the formation of autoantibodies (Petta et al., 2018). Obesity was associated with a systemic pro-inflammatory state, characterized by changes in the frequency of B-cell subpopulation [e.g., reduction of the anti-inflammatory IL-10+ regulatory B cell (Nishimura et al., 2013)] and by an increase in autoantibody levels (Kosaraju et al., 2017). Diets rich in polyunsaturated fatty acid are associated with the suppression of pro-inflammatory responses and a reduction of circulating autoantibodies (Pestka et al., 2014; Tomasdottir et al., 2014). Dietary components impact the composition of the gastrointestinal bacterial populations: consumption of prebiotics increases the intestinal levels of Bifidobacterium and Lactobacillus (Singh et al., 2017), with a possible link to B-cell differentiation, maturation, and activation (Ouwehand et al., 2002). Diet can impact autoantibody production, directly by promoting pro-inflammatory conditions and indirectly by altering the GM. In experimental autoimmune encephalomyelitis (EAE) it was demonstrated that the commensal microbiota composition is a pivotal factor for disease development (Lee et al., 2011) and that modifying the GM impacts the levels of T and B cells or the levels of circulating autoantibodies (Ochoa-Repáraz et al., 2009, 2010).

BBB Repairing Pharmacology: Available Options

The multi-level implication of BBB damage in neurodegenerative disorders has prompted the quest for pharmacological repairing strategies, either directed at the endothelium or by indirect targeting of the cellular players of peripheral and neuro-inflammation. Currently tested drugs are either repurposed or new (Table 2). Examples include losartan, an anti-hypertensive molecule acting as an angiotensin II antagonist. Losartan was shown to reduce BBB permeability in a rat model of hypertension (Kucuk et al., 2002; Kaya et al., 2003) and following pilocarpine-induced status epilepticus (Hong et al., 2019). BBB protection by losartan depends on angiotensin receptor type 1 (AT1) blockade. Another drug is rapamycin, a specific inhibitor of the mammalian target of rapamycin (mTOR) pathway. Rapamycin improved cerebrovascular and cognitive function in a mouse model of AD (Van Skike et al., 2018). Inhibition of mTOR preserved BBB integrity through the upregulation of tight junction proteins and downregulation of matrix metalloproteinase-9. A third option is anakinra, which is the recombinant form of the human IL-1 receptor antagonist (IL1-Ra) that inhibits IL-1α and IL-1β binding to the IL-1 receptor type 1. As inflammation comprises BBB dysfunction, the inhibition of IL-1 as proposed is a strategy enabling cerebrovascular protection (Marchi et al., 2009, 2011; Vezzani et al., 2011; Kenney-Jung et al., 2016). Recent strategies include the development of IL-1Ra molecules fused with a cell-penetrating peptide to enhance brain access (Zhang et al., 2017). After transient middle cerebral artery occlusion in rats, IL-1Ra-PEP reduced neuro-inflammation and ischemia (Zhang et al., 2017). The fourth option is IPW-5371, a small molecule blocking the transforming growth factor β receptor (TGFβR) signaling. In a recent study (Senatorov et al., 2019), IPW reduced hyperexcitability in a mouse model, protecting BBB functions. The activated protein C (APC) therapeutic analog 3K3A-APC is a fifth option. This compound has BBB and neuro-protective properties (Thiyagarajan et al., 2008; Zhong et al., 2009; Wang et al., 2016; Sinha et al., 2018; Lazic et al., 2019; Lyden et al., 2019) and it is in clinical trial for stroke treatment (Lyden et al., 2019). Next is platelet-derived growth factor subunits BB (PDGF-BB). Following an acute vascular insult, activation of the PDGF receptor beta (PDGFRβ) by PDGF-BB is beneficial, protecting the endothelium–pericyte structures. The latter was reported in mouse models of status epilepticus (Arango-Lievano et al., 2018) and cerebral ischemia (Marushima et al., 2019). Conversely, in chronic disease settings (e.g., AD, epilepsy, etc.), activation of PDGFRβ may participate to inflammation (Rustenhoven et al., 2017; Klement et al., 2019). Under this circumstance, blocking PDGFRβ signaling by using the tyrosine kinase inhibitor Imatinib could represent an anti-inflammatory strategy (Rustenhoven et al., 2017; Klement et al., 2019). In general, reducing PDGFRβ signaling could lead to contrasting effects, e.g., pericyte deficiency and BBB breakdown (Bell et al., 2010; Daneman et al., 2010; Armulik et al., 2017; Kisler et al., 2017; Montagne et al., 2018; Nikolakopoulou et al., 2019) or anti-inflammatory (Rustenhoven et al., 2017; Klement et al., 2019), depending on disease stage (acute vs. chronic). Another option, Dexamethasone, is a glucocorticoid effective in the formation and maintenance of endothelial tight junctions (Hue et al., 2015; Na et al., 2017). Dexamethasone was proposed to decrease the expression of the Jumonji Domain Containing 3 gene (JMJD3) and metallo-proteinases (MMP-2, MMP-3, and MMP-9). Finally, there is the vascular endothelial growth factor (VEGF). Amyloid accumulation is associated with endothelial apoptosis (Religa et al., 2013) in Alzheimer’s patients as well as in mouse models. In AD mice, VEGF administration rescued memory deficits by preventing Aβ-induced vascular apoptosis (Religa et al., 2013). See Table 2 for complete drug listing, mechanisms and bibliography.

TABLE 2.

Available molecules exerting BBB repairing and anti-inflammatory effects.

Category Mechanism(s) of action Reported effects In vivo /in vitro models Clinical trials References
Losartan Antihypertensive Angiotensin II antagonist Improves barrier function Rats Antihypertensive drug Kucuk et al., 2002; Kaya et al., 2003; Hong et al., 2019
Ripamycin Immunosuppressant mTOR antagonist Improves barrier function, promotes claudin-5 Mice Prevention of transplant rejection Van Skike et al., 2018
Anakinra lnterleukin-1 receptor antagonist Human interleukin-1 receptor antagonist (IL-IRa) Decreases inflammation Rats Anti-inflammatory drug currently used against rheumatoid arthritis cryopyrin-associated periodic syndromes (CAPS) and Still’s disease. Kenney-Jung et al., 2016; Van Skike et al., 2018
IPW TGFβR1 kinase inhibitor Inhibition of TGFβR signaling Reduces brain hyperexcitability, indirect BBB repair Mice NA Senatorov et al., 2019
3K3A-APC Activated protein C (APC) BACE-1 inhibition, activation of protease-activated receptor 1 Cytoprotective properties, neovascularization, neurogenesis Mice In clinical trial for ischemic stroke (RHAPSODY) Thiyagarajan et al., 2008; Zhong et al., 2009; Wang et al., 2016; Sinha et al., 2018; Lazic et al., 2019; Lyden et al., 2019
PDGF-BB PDGFRb agonist Increased expression of p-Smad2/3 Ameliorates BBB function In vivo NA Arango-Lievano et al., 2018
Imatinib Kinase inhibitor Inhibition of PDGFR signaling anti-inflammatory? Mice Precursor cell lymphoblastic leukemia–lymphoma, dermatofibrosarcoma Su et al., 2015; Klement et al., 2019
Dexamethasone Glucocorticoid Decreased JMJD3 gene expression, suppression of MMP-2, MMP-3, and MMP-9 gene activation Preserves tight junctions integrity In vitro BBB model Inflammatory conditions Hue et al., 2015; Na et al., 2017
Annexin-A1 (ANXA1) Glucocorticoid anti-inflammatory effector Binding to FRP2 receptor, inhibition of phospholipase-2 Restores cell polarity, cytoskeleton integrity, and paracellular permeability In vitro BBB model, Anxa−/− mice NA Cristante et al., 2013; Purvis et al., 2019; Zub et al., 2019
VEGF Vascular endothelial growth factor Prevention of Aβ-induced apoptosis Improves vascular functions Mice NA Religa et al., 2013
Tetramethylpyrazine Cardiovascular Blocking JAK/STAT signaling Reduces BBB damage Rats NA Gong et al., 2019
S-nitrosoglutathione Nitric oxide donor Suppression of MMP-9 activity Prevents BBB damage Mice NA Aggarwal et al., 2015
Cannabidiol Analgesic, anti-inflammatory, antineoplastic Activation of PPARy and 5-HT1A receptors Prevents BBB damage In vitro BBB model NA Hind et al., 2016

Perspectives and Challenges

The importance of cerebrovascular dysfunction in neurodegenerative disorders is twofold: BBB damage is pathophysiological and it allows a diagnostic window, the latter by exploiting specific proteins that shed from the damaged or vascular wall cells to appear into accessible fluids, e.g., blood or CSF. For instance, by dosing soluble PDGFRβ in CSF and by using dynamic contrast-enhanced magnetic resonance imaging, a recent study demonstrated BBB breakdown as an early biomarker of human cognitive dysfunction (Montagne et al., 2015; Nation et al., 2019).

Tackling the complex neurodegenerative puzzle requires a continuous sharpening of pharmacological tools. This is important because no efficacious disease-modifying strategy is available to meaningfully delay or prevent disease progression. The problematics here presented may stem from semantic habits as the term neuro- indicates, for most, neurons only. Revisiting nomenclature(s) may benefit, if not legitimize, holistic, and neurovascular approaches to CNS disorders since it is evident that considering neuronal circuits insulated from the influence of glio-vascular cells is excessively reductionist.

Author Contributions

NM planned, drafted, and corrected most of the manuscript, including figures and tables. FN wrote the parts on auto-immunity and created the table. SC was responsible for the section “The Gut-Brain Axis and Neurodegeneration: Is There a Barriers’ Implication?”. PG contributed to the section on BBB drugs and to the table, and also contributed to the sections “Gut Microbiota and Autoantibodies Production: Initial Clues” and “References.”

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

This work was supported by the ANR-Epicyte, ANR-HepatoBrain, Era-Net/ANR Neu-Vasc, Fondation de France, FRC, and Muse Grants to NM.

References

  1. Abbott N. J., Patabendige A. A. K., Dolman D. E. M., Yusof S. R., Begley D. J. (2010). Structure and function of the blood-brain barrier. Neurobiol. Dis. 37 13–25. [DOI] [PubMed] [Google Scholar]
  2. Adams J. B., Johansen L. J., Powell L. D., Quig D., Rubin R. A. (2011). Gastrointestinal flora and gastrointestinal status in children with autism–comparisons to typical children and correlation with autism severity. BMC Gastroenterol. 11:22. 10.1186/1471-230X-11-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Aggarwal A., Khera A., Singh I., Sandhir R. (2015). S-nitrosoglutathione prevents blood-brain barrier disruption associated with increased matrix metalloproteinase-9 activity in experimental diabetes. J. Neurochem. 132 595–608. 10.1111/jnc.12939 [DOI] [PubMed] [Google Scholar]
  4. Aimaretti G., Ambrosio M. R., Di Somma C., Gasperi M., Cannavò S., Scaroni C., et al. (2005). Residual pituitary function after brain injury-induced hypopituitarism: a prospective 12-month study. J. Clin. Endocrinol. Metab. 90 6085–6092. 10.1210/jc.2005-0504 [DOI] [PubMed] [Google Scholar]
  5. Allen H. B. (2016). Alzheimer’s disease: assessing the role of spirochetes, biofilms, the immune system, and amyloid-β with regard to potential treatment and prevention. J. Alzheimers Dis. 27 1271–1276. 10.3233/jad-160388 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Alonso R., Pisa D., Marina A. I., Morato E., Rábano A., Carrasco L. (2014). Fungal infection in patients with Alzheimer’s disease. J. Alzheimers Dis. 41 301–311. [DOI] [PubMed] [Google Scholar]
  7. Amedei A., Boem F. (2018). I’ve gut a feeling: microbiota impacting the conceptual and experimental perspectives of personalized medicine. Int. J. Mol. Sci. 19:E3756. 10.3390/ijms19123756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Arango-Lievano M., Boussadia B., De Terdonck L. D. T., Gault C., Fontanaud P., Lafont C., et al. (2018). Topographic reorganization of cerebrovascular mural cells under seizure conditions. Cell Rep. 24 1045–1059. 10.1016/j.celrep.2018.03.110 [DOI] [PubMed] [Google Scholar]
  9. Armulik A., Genové G., Mäe M., Nisancioglu M. H., Wallgard E., Niaudet C., et al. (2017). Pericytes regulate the blood-brain barrier. Nature 468 557–561. [DOI] [PubMed] [Google Scholar]
  10. Aspelund A., Antila S., Proulx S. T., Karlsen T. V., Karaman S., Detmar M., et al. (2015). A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules. J. Exp. Med. 212 991–999. 10.1084/jem.20142290 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Asuni A. A., Boutajangout A., Quartermain D., Sigurdsson E. M. (2007). Immunotherapy targeting pathological tau conformers in a tangle mouse model reduces brain pathology with associated functional improvements. J. Neurosci. 27 9115–9129. 10.1523/jneurosci.2361-07.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bach J.-P., Dodel R. (2012). Naturally occurring autoantibodies against β-Amyloid. Adv. Exp. Med. Biol. 750 91–99. 10.1007/978-1-4614-3461-0_7 [DOI] [PubMed] [Google Scholar]
  13. Balin B. J., Gérard H. C., Arking E. J., Appelt D. M., Branigan P. J., Abrams J. T., et al. (1998). Identification and localization of Chlamydia pneumoniae in the Alzheimer’s brain. Med. Microbiol. Immunol. 187 23–42. [DOI] [PubMed] [Google Scholar]
  14. Bartos A., Fialová L., Svarcová J., Ripova D. (2012). Patients with Alzheimer disease have elevated intrathecal synthesis of antibodies against tau protein and heavy neurofilament. J. Neuroimmunol. 252 100–105. 10.1016/j.jneuroim.2012.08.001 [DOI] [PubMed] [Google Scholar]
  15. Bell R. D., Winkler E. A., Sagare A. P., Singh I., LaRue B., Deane R., et al. (2010). Pericytes control key neurovascular functions and neuronal phenotype in the adult brain and during brain aging. Neuron 68 409–427. 10.1016/j.neuron.2010.09.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Blennow K., Hardy J., Zetterberg H. (2012). The neuropathology and neurobiology of traumatic brain injury. Neuron 76 886–899. 10.1016/j.neuron.2012.11.021 [DOI] [PubMed] [Google Scholar]
  17. Braniste V., Al-Asmakh M., Kowal C., Anuar F., Abbaspour A., Tóth M., et al. (2014). The gut microbiota influences blood-brain barrier permeability in mice. Sci. Transl. Med. 6:263ra158. 10.1126/scitranslmed.3009759 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Brettschneider S., Morgenthaler N. G., Teipel S. J., Fischer-Schulz C., Bürger K., Dodel R., et al. (2005). Decreased serum amyloid beta(1-42) autoantibody levels in Alzheimer’s disease, determined by a newly developed immuno-precipitation assay with radiolabeled amyloid beta(1-42) peptide. Biol. Psychiatry 57 813–816. 10.1016/j.biopsych.2004.12.008 [DOI] [PubMed] [Google Scholar]
  19. Britschgi M., Olin C. E., Johns H. T., Takeda-Uchimura Y., LeMieux M. C., Rufibach K., et al. (2009). Neuroprotective natural antibodies to assemblies of amyloidogenic peptides decrease with normal aging and advancing Alzheimer’s disease. Proc. Natl. Acad. Sci. U.S.A. 106 12145–12150. 10.1073/pnas.0904866106 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Busse S., Busse M., Brix B., Probst C., Genz A., Bogerts B., et al. (2014). Seroprevalence of N-methyl-D-aspartate glutamate receptor (NMDA-R) autoantibodies in aging subjects without neuropsychiatric disorders and in dementia patients. Eur. Arch. Psychiatry Clin. Neurosci. 264 545–550. 10.1007/s00406-014-0493-9 [DOI] [PubMed] [Google Scholar]
  21. Butler M. I., Cryan J. F., Dinan T. G. (2019). Man and the microbiome: a new theory of everything? Annu. Rev. Clin. Psychol. 15 371–398. 10.1146/annurev-clinpsy-050718-095432 [DOI] [PubMed] [Google Scholar]
  22. Casali P., Schettino E. W. (1996). Structure and function of natural antibodies. Curr. Top. Microbiol. Immunol. 210 167–179. 10.1007/978-3-642-85226-8_17 [DOI] [PubMed] [Google Scholar]
  23. Cattaneo A., Cattane N., Galluzzi S., Provasi S., Lopizzo N., Festari C., et al. (2017). Association of brain amyloidosis with pro-inflammatory gut bacterial taxa and peripheral inflammation markers in cognitively impaired elderly. Neurobiol. Aging 49 60–68. 10.1016/j.neurobiolaging.2016.08.019 [DOI] [PubMed] [Google Scholar]
  24. Cerovic M., Forloni G., Balducci C. (2019). Neuroinflammation and the gut microbiota: possible alternative therapeutic targets to counteract Alzheimer’s disease? Front. Aging Neurosci. 11:284 10.3389/fnagi.2019.00284 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Chu C., Murdock M. H., Jing D., Won T. H., Chung H., Kressel A. M., et al. (2019). The microbiota regulate neuronal function and fear extinction learning. Nature 574 543–548. 10.1038/s41586-019-1644-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Cox L. M., Weiner H. L. (2018). Microbiota signaling pathways that influence neurologic disease. Neurother. J. Am. Soc. Exp. Neurother. 15 135–145. 10.1007/s13311-017-0598-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Cristante E., McArthur S., Mauro C., Maggioli E., Romero I. A., Wylezinska-Arridge M., et al. (2013). Identification of an essential endogenous regulator of blood-brain barrier integrity, and its pathological and therapeutic implications. Proc. Natl. Acad. Sci. U.S.A. 110 832–841. 10.1073/pnas.1209362110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Cryan J. F., O’Riordan K. J., Cowan C. S. M., Sandhu K. V., Bastiaanssen T. F. S., Boehme M., et al. (2019). The microbiota-gut-brain axis. Physiol. Rev. 99 1877–2013. [DOI] [PubMed] [Google Scholar]
  29. Daneman R., Zhou L., Kebede A. A., Barres B. A. (2010). Pericytes are required for blood-brain barrier integrity during embryogenesis. Nature 468 562–566. 10.1038/nature09513 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Davydova T. V., Voskresenskaya N. I., Fomina V. G., Vetrile L. A., Doronina O. A. (2007). Induction of autoantibodies to glutamate in patients with Alzheimer’s disease. Bull. Exp. Biol. Med. 143 182–183. 10.1007/s10517-007-0044-8 [DOI] [PubMed] [Google Scholar]
  31. Deane R., Du Yan S., Submamaryan R. K., LaRue B., Jovanovic S., Hogg E., et al. (2003). RAGE mediates amyloid-beta peptide transport across the blood-brain barrier and accumulation in brain. Nat. Med. 9 907–913. 10.1038/nm890 [DOI] [PubMed] [Google Scholar]
  32. Deane R., Singh I., Sagare A. P., Bell R. D., Ross N. T., LaRue B., et al. (2012). A multimodal RAGE-specific inhibitor reduces amyloid β-mediated brain disorder in a mouse model of Alzheimer disease. J. Clin. Invest. 122 1377–1392. 10.1172/jci58642 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Dinkins M. B., Dasgupta S., Wang G., Zhu G., He Q., Kong J. N., et al. (2015). The 5XFAD mouse model of Alzheimer’s disease exhibits an age-dependent increase in anti-ceramide IgG and exogenous administration of ceramide further increases anti-ceramide titers and amyloid plaque burden. J. Alzheimers Dis. 46 55–61. 10.3233/jad-150088 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Dodel R., Balakrishnan K., Keyvani K., Deuster O., Neff F., Andrei-Selmer L.-C., et al. (2011). Naturally occurring autoantibodies against beta-amyloid: investigating their role in transgenic animal and in vitro models of Alzheimer’s disease. J. Neurosci. 31 5847–5854. 10.1523/jneurosci.4401-10.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Dominy S. S., Lynch C., Ermini F., Benedyk M., Marczyk A., Konradi A., et al. (2019). Porphyromonas gingivalis in Alzheimer’s disease brains: evidence for disease causation and treatment with small-molecule inhibitors. Sci. Adv. 5:eaau3333. 10.1126/sciadv.aau3333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Du Y., Dodel R., Hampel H., Buerger K., Lin S., Eastwood B., et al. (2001). Reduced levels of amyloid beta-peptide antibody in Alzheimer disease. Neurology 57 801–805. 10.1212/wnl.57.5.801 [DOI] [PubMed] [Google Scholar]
  37. Eimer W. A., Vijaya Kumar D. K., Navalpur Shanmugam N. K., Rodriguez A. S., Mitchell T., Washicosky K. J., et al. (2018). Alzheimer’s disease-associated β-amyloid is rapidly seeded by herpesviridae to protect against brain infection. Neuron 11 56.e3–63.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Elkon K. B., Silverman G. J. (2012). Naturally occurring autoantibodies to apoptotic cells. Adv. Exp. Med. Biol. 750 14–26. 10.1007/978-1-4614-3461-0_2 [DOI] [PubMed] [Google Scholar]
  39. Engelhardt B., Vajkoczy P., Weller R. O. (2017). The movers and shapers in immune privilege of the CNS. Nat. Immunol. 18 123–131. 10.1038/ni.3666 [DOI] [PubMed] [Google Scholar]
  40. Fialová L., Bartos A., Svarcová J., Malbohan I. (2011). Increased intrathecal high-avidity anti-tau antibodies in patients with multiple sclerosis. PLoS One 6:e27476. 10.1371/journal.pone.0027476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Fung T. C., Olson C. A., Hsiao E. Y. (2017). Interactions between the microbiota, immune and nervous systems in health and disease. Nat. Neurosci. 20 145–155. 10.1038/nn.4476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Giannoni P., Badaut J., Dargazanli C., De Maudave A. F., Klement W., Costalat V., et al. (2018). The pericyte-glia interface at the blood-brain barrier. Clin. Sci. Lond. Engl. 14 361–374. 10.1042/CS20171634 [DOI] [PubMed] [Google Scholar]
  43. Goldstein L. E., Fisher A. M., Tagge C. A., Zhang X.-L., Velisek L., Sullivan J. A., et al. (2012). Chronic traumatic encephalopathy in blast-exposed military veterans and a blast neurotrauma mouse model. Sci. Transl. Med. 4:134ra60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Gong P., Zhang Z., Zou Y., Tian Q., Han S., Xu Z., et al. (2019). Tetramethylpyrazine attenuates blood-brain barrier disruption in ischemia/reperfusion injury through the JAK/STAT signaling pathway. Eur. J. Pharmacol. 854 289–297. 10.1016/j.ejphar.2019.04.028 [DOI] [PubMed] [Google Scholar]
  45. Goryunova A. V., Bazarnaya N. A., Sorokina E. G., Semenova N. Y., Globa O. V., Semenova Z. B., et al. (2007). Glutamate receptor autoantibody concentrations in children with chronic post-traumatic headache. Neurosci. Behav. Physiol. 37 761–764. 10.1007/s11055-007-0079-3 [DOI] [PubMed] [Google Scholar]
  46. Gruden M. A., Davidova T. B., Malisauskas M., Sewell R. D. E., Voskresenskaya N. I., Wilhelm K., et al. (2007). Differential neuroimmune markers to the onset of Alzheimer’s disease neurodegeneration and dementia: autoantibodies to Abeta((25-35)) oligomers, S100b and neurotransmitters. J. Neuroimmunol. 186 181–192. 10.1016/j.jneuroim.2007.03.023 [DOI] [PubMed] [Google Scholar]
  47. Gustaw K. A., Garrett M. R., Lee H.-G., Castellani R. J., Zagorski M. G., Prakasam A., et al. (2008). Antigen-antibody dissociation in Alzheimer disease: a novel approach to diagnosis. J. Neurochem. 106 1350–1356. 10.1111/j.1471-4159.2008.05477.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Harach T., Marungruang N., Duthilleul N., Cheatham V., Mc Coy K. D., Frisoni G., et al. (2017). Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota. Sci. Rep. 08:41802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Hind W. H., England T. J., O’Sullivan S. E. (2016). Cannabidiol protects an in vitro model of the blood-brain barrier from oxygen-glucose deprivation via PPARγ and 5-HT1A receptors. Br. J. Pharmacol. 173 815–825. 10.1111/bph.13368 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Hong S., JianCheng H., JiaWen W., ShuQin Z., GuiLian Z., HaiQin W., et al. (2019). Losartan inhibits development of spontaneous recurrent seizures by preventing astrocyte activation and attenuating blood-brain barrier permeability following pilocarpine-induced status epilepticus. Brain Res. Bull. 149 251–259. 10.1016/j.brainresbull.2019.05.002 [DOI] [PubMed] [Google Scholar]
  51. Hue C. D., Cho F. S., Cao S., Dale Bass C. R., Meaney D. F., Morrison B. (2015). Dexamethasone potentiates in vitro blood-brain barrier recovery after primary blast injury by glucocorticoid receptor-mediated upregulation of ZO-1 tight junction protein. J. Cereb. Blood Flow Metab. 35 1191–1198. 10.1038/jcbfm.2015.38 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Iadecola C., Zhang F., Niwa K., Eckman C., Turner S. K., Fischer E., et al. (1999). SOD1 rescues cerebral endothelial dysfunction in mice overexpressing amyloid precursor protein. Nat. Neurosci. 2 157–161. 10.1038/5715 [DOI] [PubMed] [Google Scholar]
  53. Itzhaki R. F., Lathe R., Balin B. J., Ball M. J., Bearer E. L., Braak H., et al. (2016). Microbes and Alzheimer’s disease. J. Alzheimers Dis. 51 979–984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Janeway C. A., Travers P., Walport M., Shlomchik M. J., Jr. (2001). Immunobiology, 5th Edn New York, NY: Garland Science. [Google Scholar]
  55. Kang D.-W., Adams J. B., Coleman D. M., Pollard E. L., Maldonado J., McDonough-Means S., et al. (2019). Long-term benefit of microbiota transfer therapy on autism symptoms and gut microbiota. Sci. Rep. 9:5821. 10.1038/s41598-019-42183-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Karczewski P., Hempel P., Kunze R., Bimmler M. (2012). Agonistic autoantibodies to the α(1) -adrenergic receptor and the β(2) -adrenergic receptor in Alzheimer’s and vascular dementia. Scand. J. Immunol. 75 524–530. 10.1111/j.1365-3083.2012.02684.x [DOI] [PubMed] [Google Scholar]
  57. Kaya M., Kalayci R., Küçük M., Arican N., Elmas I., Kudat H., et al. (2003). Effect of losartan on the blood-brain barrier permeability in diabetic hypertensive rats. Life Sci. 73 3235–3244. 10.1016/j.lfs.2003.06.014 [DOI] [PubMed] [Google Scholar]
  58. Kellner A., Matschke J., Bernreuther C., Moch H., Ferrer I., Glatzel M. (2009). Autoantibodies against beta-amyloid are common in Alzheimer’s disease and help control plaque burden. Ann. Neurol. 65 24–31. 10.1002/ana.21475 [DOI] [PubMed] [Google Scholar]
  59. Kelly J. R., Borre Y., O’ Brien C., Patterson E., El Aidy S., Deane J., et al. (2016). Transferring the blues: depression-associated gut microbiota induces neurobehavioural changes in the rat. J. Psychiatr. Res. 82 109–118. 10.1016/j.jpsychires.2016.07.019 [DOI] [PubMed] [Google Scholar]
  60. Kenney-Jung D. L., Vezzani A., Kahoud R. J., LaFrance-Corey R. G., Ho M.-L., Muskardin T. W., et al. (2016). Febrile infection-related epilepsy syndrome treated with anakinra. Ann. Neurol. 80 939–945. 10.1002/ana.24806 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Kisler K., Nelson A. R., Rege S. V., Ramanathan A., Wang Y., Ahuja A., et al. (2017). Pericyte degeneration leads to neurovascular uncoupling and limits oxygen supply to brain. Nat. Neurosci. 20 406–416. 10.1038/nn.4489 [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Klement W., Blaquiere M., Zub E., deBock F., Boux F., Barbier E., et al. (2019). A pericyte-glia scarring develops at the leaky capillaries in the hippocampus during seizure activity. Epilepsia 60 1399–1411. 10.1111/epi.16019 [DOI] [PubMed] [Google Scholar]
  63. Kobeissy F. H. (2015). Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects. Boca Raton, FL: CRC Press. [PubMed] [Google Scholar]
  64. Kondo A., Shahpasand K., Mannix R., Qiu J., Moncaster J., Chen C.-H., et al. (2015). Antibody against early driver of neurodegeneration cis P-tau blocks brain injury and tauopathy. Nature 523 431–436. 10.1038/nature14658 [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Kornhuber H. H. (1996). Propionibacterium acnes in the cortex of patients with Alzheimer’s disease. Eur. Arch. Psychiatry Clin. Neurosci. 246 108–109. 10.1007/bf02274902 [DOI] [PubMed] [Google Scholar]
  66. Kosaraju R., Guesdon W., Crouch M. J., Teague H. L., Sullivan E. M., Karlsson E. A., et al. (2017). B cell activity is impaired in human and mouse obesity and is responsive to an essential fatty acid upon murine influenza infection. J. Immunol. 198 4738–4752. 10.4049/jimmunol.1601031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Kountouras J., Tsolaki M., Gavalas E., Boziki M., Zavos C., Karatzoglou P., et al. (2006). Relationship between Helicobacter pylori infection and Alzheimer disease. Neurology 66 938–940. 10.1212/01.wnl.0000203644.68059.5f [DOI] [PubMed] [Google Scholar]
  68. Kronimus Y., Albus A., Balzer-Geldsetzer M., Straub S., Semler E., Otto M., et al. (2016). Naturally occurring autoantibodies against tau protein are reduced in Parkinson’s disease dementia. PLoS One 11:e0164953. 10.1371/journal.pone.0164953 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Kucuk M., Kaya M., Kalayci R., Cimen V., Kudat H., Arican N., et al. (2002). Effects of losartan on the blood-brain barrier permeability in long-term nitric oxide blockade-induced hypertensive rats. Life Sci. 71 937–946. 10.1016/s0024-3205(02)01772-1 [DOI] [PubMed] [Google Scholar]
  70. Kumar D. K. V., Choi S. H., Washicosky K. J., Eimer W. A., Tucker S., Ghofrani J., et al. (2016). Amyloid-β peptide protects against microbial infection in mouse and worm models of Alzheimer’s disease. Sci. Transl. Med. 8:340ra72. 10.1126/scitranslmed.aaf1059 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Kumar N., Forster S. C. (2017). Genome watch: microbiota shuns the modern world. Nat. Rev. Microbiol. 15 710–710. 10.1038/nrmicro.2017.136 [DOI] [PubMed] [Google Scholar]
  72. Lazic D., Sagare A. P., Nikolakopoulou A. M., Griffin J. H., Vassar R., Zlokovic B. V. (2019). 3K3A-activated protein C blocks amyloidogenic BACE1 pathway and improves functional outcome in mice. J. Exp. Med. 216 279–293. 10.1084/jem.20181035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Le Page A., Dupuis G., Frost E. H., Larbi A., Pawelec G., Witkowski J. M., et al. (2018). Role of the peripheral innate immune system in the development of Alzheimer’s disease. Exp. Gerontol. 01 59–66. [DOI] [PubMed] [Google Scholar]
  74. Lee Y. K., Menezes J. S., Umesaki Y., Mazmanian S. K. (2011). Proinflammatory T-cell responses to gut microbiota promote experimental autoimmune encephalomyelitis. Proc. Natl. Acad. Sci. U.S.A. 108(Suppl. 1), 4615–4622. 10.1073/pnas.1000082107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Lelouvier B., Servant F., Païssé S., Brunet A.-C., Benyahya S., Serino M., et al. (2016). Changes in blood microbiota profiles associated with liver fibrosis in obese patients: a pilot analysis. Hepatology 64 2015–2027. 10.1002/hep.28829 [DOI] [PubMed] [Google Scholar]
  76. Levin E. C., Acharya N. K., Han M., Zavareh S. B., Sedeyn J. C., Venkataraman V., et al. (2010). Brain-reactive autoantibodies are nearly ubiquitous in human sera and may be linked to pathology in the context of blood-brain barrier breakdown. Brain Res. 1345 221–232. 10.1016/j.brainres.2010.05.038 [DOI] [PubMed] [Google Scholar]
  77. Lin W.-R., Wozniak M. A., Cooper R. J., Wilcock G. K., Itzhaki R. F. (2002). Herpesviruses in brain and Alzheimer’s disease. J. Pathol. 197 395–402. 10.1002/path.1127 [DOI] [PubMed] [Google Scholar]
  78. Lindhagen-Persson M., Brännström K., Vestling M., Steinitz M., Olofsson A. (2010). Amyloid-β oligomer specificity mediated by the IgM isotype–implications for a specific protective mechanism exerted by endogenous auto-antibodies. PLoS One 5:e13928. 10.1371/journal.pone.0013928 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Louveau A., Harris T. H., Kipnis J. (2015a). Revisiting the mechanisms of CNS immune privilege. Trends Immunol. 36 569–577. 10.1016/j.it.2015.08.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Louveau A., Herz J., Alme M. N., Salvador A. F., Dong M. Q., Viar K. E., et al. (2018). CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature. Nat. Neurosci. 21 1380–1391. 10.1038/s41593-018-0227-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Louveau A., Smirnov I., Keyes T. J., Eccles J. D., Rouhani S. J., Peske J. D., et al. (2015b). Structural and functional features of central nervous system lymphatic vessels. Nature 523 337–341. 10.1038/nature14432 [DOI] [PMC free article] [PubMed] [Google Scholar]
  82. Lozupone C. A., Stombaugh J. I., Gordon J. I., Jansson J. K., Knight R. (2012). Diversity, stability and resilience of the human gut microbiota. Nature 489 220–230. 10.1038/nature11550 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Lyden P., Pryor K. E., Coffey C. S., Cudkowicz M., Conwit R., Jadhav A., et al. (2019). Final results of the RHAPSODY trial: a multi-center, phase 2 trial using a continual reassessment method to determine the safety and tolerability of 3K3A-APC, a recombinant variant of human activated protein C, in combination with tissue plasminogen activator, mechanical thrombectomy or both in moderate to severe acute ischemic stroke. Ann. Neurol. 85 125–136. 10.1002/ana.25383 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Maftei M., Thurm F., Schnack C., Tumani H., Otto M., Elbert T., et al. (2013). Increased levels of antigen-bound β-amyloid autoantibodies in serum and cerebrospinal fluid of Alzheimer’s disease patients. PLoS One 8:e68996. 10.1371/journal.pone.0068996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Mannix R., Meehan W. P., Mandeville J., Grant P. E., Gray T., Berglass J., et al. (2013). Clinical correlates in an experimental model of repetitive mild brain injury. Ann. Neurol. 74 65–75. 10.1002/ana.23858 [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Marchi N., Angelov L., Masaryk T., Fazio V., Granata T., Hernandez N., et al. (2007). Seizure-promoting effect of blood-brain barrier disruption. Epilepsia 48 732–742. 10.1111/j.1528-1167.2007.00988.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Marchi N., Bazarian J. J., Puvenna V., Janigro M., Ghosh C., Zhong J., et al. (2013). Consequences of repeated blood-brain barrier disruption in football players. PLoS One 8:e56805. 10.1371/journal.pone.0056805 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Marchi N., Fan Q., Ghosh C., Fazio V., Bertolini F., Betto G., et al. (2009). Antagonism of peripheral inflammation reduces the severity of status epilepticus. Neurobiol. Dis. 33 171–181. 10.1016/j.nbd.2008.10.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Marchi N., Granata T., Freri E., Ciusani E., Ragona F., Puvenna V., et al. (2011). Efficacy of anti-inflammatory therapy in a model of acute seizures and in a population of pediatric drug resistant epileptics. PLoS One 6:e18200. 10.1371/journal.pone.0018200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Marchi N., Granata T., Janigro D. (2014). Inflammatory pathways of seizure disorders. Trends Neurosci. 37 55–65. 10.1016/j.tins.2013.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Martin C. R., Osadchiy V., Kalani A., Mayer E. A. (2018). The brain-gut-microbiome axis. Cell Mol. Gastroenterol. Hepatol. 6 133–148. 10.1016/j.jcmgh.2018.04.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Marushima A., Nieminen M., Kremenetskaia I., Gianni-Barrera R., Woitzik J., von Degenfeld G., et al. (2019). Balanced single-vector co-delivery of VEGF/PDGF-BB improves functional collateralization in chronic cerebral ischemia. J. Cereb. Blood Flow Metab. 9:271678X18818298. 10.1177/0271678X18818298 [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. McIntyre J. A., Chapman J., Shavit E., Hamilton R. L., Dekosky S. T. (2007). Redox-reactive autoantibodies in Alzheimer’s patients’ cerebrospinal fluids: preliminary studies. Autoimmunity 40 390–396. 10.1080/08916930701421020 [DOI] [PubMed] [Google Scholar]
  94. McIntyre J. A., Ramsey C. J., Gitter B. D., Saykin A. J., Wagenknecht D. R., Hyslop P. A., et al. (2015). Antiphospholipid autoantibodies as blood biomarkers for detection of early stage Alzheimer’s disease. Autoimmunity 48 344–351. 10.3109/08916934.2015.1008464 [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. McRae A., Martins R. N., Fonte J., Kraftsik R., Hirt L., Miklossy J. (2007). Cerebrospinal fluid antimicroglial antibodies in Alzheimer disease: a putative marker of an ongoing inflammatory process. Exp. Gerontol. 42 355–363. 10.1016/j.exger.2006.10.015 [DOI] [PubMed] [Google Scholar]
  96. Mecocci P., Parnetti L., Romano G., Scarelli A., Chionne F., Cecchetti R., et al. (1995). Serum anti-GFAP and anti-S100 autoantibodies in brain aging, Alzheimer’s disease and vascular dementia. J. Neuroimmunol. 57 165–170. 10.1016/0165-5728(94)00180-v [DOI] [PubMed] [Google Scholar]
  97. Miklossy J. (2011). Alzheimer’s disease - a neurospirochetosis. Analysis of the evidence following Koch’s and Hill’s criteria. J. Neuroinflamm. 8:90. 10.1186/1742-2094-8-90 [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Miklossy J. (2016). Bacterial amyloid and DNA are important constituents of senile plaques: further evidence of the spirochetal and biofilm nature of senile plaques. J. Alzheimers Dis. 13 1459–1473. 10.3233/JAD-160451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Minter M. R., Hinterleitner R., Meisel M., Zhang C., Leone V., Zhang X., et al. (2017). Antibiotic-induced perturbations in microbial diversity during post-natal development alters amyloid pathology in an aged APPSWE/PS1ΔE9 murine model of Alzheimer’s disease. Sci. Rep. 7:10411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Minter M. R., Zhang C., Leone V., Ringus D. L., Zhang X., Oyler-Castrillo P., et al. (2016). Antibiotic-induced perturbations in gut microbial diversity influences neuro-inflammation and amyloidosis in a murine model of Alzheimer’s disease. Sci. Rep. 21:30028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Moir R. D., Lathe R., Tanzi R. E. (2018). The antimicrobial protection hypothesis of Alzheimer’s disease. Alzheimers Dement. J. Alzheimers Assoc. 14 1602–1614. 10.1016/j.jalz.2018.06.3040 [DOI] [PubMed] [Google Scholar]
  102. Montagne A., Barnes S. R., Sweeney M. D., Halliday M. R., Sagare A. P., Zhao Z., et al. (2015). Blood-brain barrier breakdown in the aging human hippocampus. Neuron 85 296–302. 10.1016/j.neuron.2014.12.032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Montagne A., Nikolakopoulou A. M., Zhao Z., Sagare A. P., Si G., Lazic D., et al. (2018). Pericyte degeneration causes white matter dysfunction in the mouse central nervous system. Nat. Med. 24 326–337. 10.1038/nm.4482 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  104. Mruthinti S., Buccafusco J. J., Hill W. D., Waller J. L., Jackson T. W., Zamrini E. Y., et al. (2004). Autoimmunity in Alzheimer’s disease: increased levels of circulating IgGs binding Abeta and RAGE peptides. Neurobiol. Aging 25 1023–1032. 10.1016/j.neurobiolaging.2003.11.001 [DOI] [PubMed] [Google Scholar]
  105. Myagkova M. A., Gavrilova S. I., Lermontova N. N., Kalyn Y. B., Selezneva N. D., Zharikov G. A., et al. (2001). Autoantibodies to beta-amyloid and neurotransmitters in patients with Alzheimer’s disease and senile dementia of the Alzheimer type. Bull. Exp. Biol. Med. 131 127–129. [DOI] [PubMed] [Google Scholar]
  106. Myles I. A. (2014). Fast food fever: reviewing the impacts of the Western diet on immunity. Nutr. J. 13:61. 10.1186/1475-2891-13-61 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Na W., Shin J. Y., Lee J. Y., Jeong S., Kim W.-S., Yune T. Y., et al. (2017). Dexamethasone suppresses JMJD3 gene activation via a putative negative glucocorticoid response element and maintains integrity of tight junctions in brain microvascular endothelial cells. J. Cereb. Blood Flow Metab. 37 3695–3708. 10.1177/0271678X17701156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Nation D. A., Sweeney M. D., Montagne A., Sagare A. P., D’Orazio L. M., Pachicano M., et al. (2019). Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat. Med. 25 270–276. 10.1038/s41591-018-0297-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Nikolakopoulou A. M., Zhao Z., Montagne A., Zlokovic B. V. (2019). Regional early and progressive loss of brain pericytes but not vascular smooth muscle cells in adult mice with disrupted platelet-derived growth factor receptor-β signaling. PLoS One 12:e0176225. 10.1371/journal.pone.0176225 [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Nishimura S., Manabe I., Takaki S., Nagasaki M., Otsu M., Yamashita H., et al. (2013). Adipose natural regulatory B cells negatively control adipose tissue inflammation. Cell Metab. 18 759–766. 10.1016/j.cmet.2013.09.017 [DOI] [PubMed] [Google Scholar]
  111. Noé F. M., Marchi N. (2019). Central nervous system lymphatic unit, immunity, and epilepsy: is there a link? Epilepsia Open 4 30–39. 10.1002/epi4.12302 [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Nortley R., Korte N., Izquierdo P., Hirunpattarasilp C., Mishra A., Jaunmuktane Z., et al. (2019). Amyloid β oligomers constrict human capillaries in Alzheimer’s disease via signaling to pericytes. Science 365:eaav9518. 10.1126/science.aav9518 [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Ochoa-Repáraz J., Mielcarz D. W., Ditrio L. E., Burroughs A. R., Foureau D. M., Haque-Begum S., et al. (2009). Role of gut commensal microflora in the development of experimental autoimmune encephalomyelitis. J. Immunol. 183 6041–6050. 10.4049/jimmunol.0900747 [DOI] [PubMed] [Google Scholar]
  114. Ochoa-Repáraz J., Mielcarz D. W., Haque-Begum S., Kasper L. H. (2010). Induction of a regulatory B cell population in experimental allergic encephalomyelitis by alteration of the gut commensal microflora. Gut Microbes 1 103–108. 10.4161/gmic.1.2.11515 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Omalu B. I., Hamilton R. L., Kamboh M. I., DeKosky S. T., Bailes J. (2010). Chronic traumatic encephalopathy (CTE) in a National Football League Player: case report and emerging medicolegal practice questions. J. Forensic Nurs. 6 40–46. 10.1111/j.1939-3938.2009.01064.x [DOI] [PubMed] [Google Scholar]
  116. Ouwehand A., Isolauri E., Salminen S. (2002). The role of the intestinal microflora for the development of the immune system in early childhood. Eur. J. Nutr. 41(Suppl. 1), I32–I37. [DOI] [PubMed] [Google Scholar]
  117. Pagliai G., Russo E., Niccolai E., Dinu M., Di Pilato V., Magrini A., et al. (2019). Influence of a 3-month low-calorie Mediterranean diet compared to the vegetarian diet on human gut microbiota and SCFA: the CARDIVEG study. Eur. J. Nutr. 10.1007/s00394-019-02050-0 [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
  118. Païssé S., Valle C., Servant F., Courtney M., Burcelin R., Amar J., et al. (2016). Comprehensive description of blood microbiome from healthy donors assessed by 16S targeted metagenomic sequencing. Transfusion 56 1138–1147. 10.1111/trf.13477 [DOI] [PubMed] [Google Scholar]
  119. Pani F., Di Dalmazi G., Corsello A., Oliver T. G., Livezey J. R., Caturegli P. (2019). MON-450 pituitary antibodies in a cohort of us service members with traumatic brain injury. J. Endocr. Soc. 3(Suppl. 1):MON–450. [Google Scholar]
  120. Parker A., Fonseca S., Carding S. R. (2019). Gut microbes and metabolites as modulators of blood-brain barrier integrity and brain health. Gut Microbes 10.1080/19490976.2019.1638722 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Pavlov V. A., Tracey K. J. (2017). Neural regulation of immunity: molecular mechanisms and clinical translation. Nat. Neurosci. 20 156–166. 10.1038/nn.4477 [DOI] [PubMed] [Google Scholar]
  122. Pestka J. J., Vines L. L., Bates M. A., He K., Langohr I. (2014). Comparative effects of n-3, n-6 and n-9 unsaturated fatty acid-rich diet consumption on lupus nephritis, autoantibody production and CD4+ T cell-related gene responses in the autoimmune NZBWF1 mouse. PLoS One 9:e100255. 10.1371/journal.pone.0100255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Petta I., Fraussen J., Somers V., Kleinewietfeld M. (2018). Interrelation of diet, gut microbiome, and autoantibody production. Front. Immunol. 9:439. 10.3389/fimmu.2018.00439 [DOI] [PMC free article] [PubMed] [Google Scholar]
  124. Poole S., Singhrao S. K., Chukkapalli S., Rivera M., Velsko I., Kesavalu L., et al. (2015). Active invasion of Porphyromonas gingivalis and infection-induced complement activation in ApoE-/- mice brains. J. Alzheimers Dis. 43 67–80. 10.3233/JAD-140315 [DOI] [PubMed] [Google Scholar]
  125. Posse de Chaves E., Sipione S. (2010). Sphingolipids and gangliosides of the nervous system in membrane function and dysfunction. FEBS Lett. 584 1748–1759. 10.1016/j.febslet.2009.12.010 [DOI] [PubMed] [Google Scholar]
  126. Prinz M., Priller J. (2017). The role of peripheral immune cells in the CNS in steady state and disease. Nat. Neurosci. 20 136–144. 10.1038/nn.4475 [DOI] [PubMed] [Google Scholar]
  127. Purvis G. S. D., Solito E., Thiemermann C. (2019). Annexin-A1: therapeutic potential in microvascular disease. Front. Immunol. 10:938. 10.3389/fimmu.2019.00938 [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Qu B.-X., Gong Y., Moore C., Fu M., German D. C., Chang L.-Y., et al. (2014). Beta-amyloid auto-antibodies are reduced in Alzheimer’s disease. J. Neuroimmunol. 274 168–173. 10.1016/j.jneuroim.2014.06.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Raad M., Nohra E., Chams N., Itani M., Talih F., Mondello S., et al. (2014). Autoantibodies in traumatic brain injury and central nervous system trauma. Neuroscience 281 16–23. 10.1016/j.neuroscience.2014.08.045 [DOI] [PubMed] [Google Scholar]
  130. Rahman M. T., Ghosh C., Hossain M., Linfield D., Rezaee F., Janigro D., et al. (2018). IFN-γ, IL-17A, or zonulin rapidly increase the permeability of the blood-brain and small intestinal epithelial barriers: relevance for neuro-inflammatory diseases. Biochem. Biophys. Res. Commun. 507 274–279. 10.1016/j.bbrc.2018.11.021 [DOI] [PubMed] [Google Scholar]
  131. Ransohoff R. M. (2016). How neuroinflammation contributes to neurodegeneration. Science 353 777–783. 10.1126/science.aag2590 [DOI] [PubMed] [Google Scholar]
  132. Religa P., Cao R., Religa D., Xue Y., Bogdanovic N., Westaway D., et al. (2013). VEGF significantly restores impaired memory behavior in Alzheimer’s mice by improvement of vascular survival. Sci. Rep. 3 2053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Reza M. M., Finlay B. B., Pettersson S. (2019). Gut microbes, ageing & organ function: a chameleon in modern biology? EMBO Mol. Med. 11:e9872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Rinne J. O., Brooks D. J., Rossor M. N., Fox N. C., Bullock R., Klunk W. E., et al. (2010). 11C-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer’s disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study. Lancet Neurol. 9 363–372. 10.1016/S1474-4422(10)70043-0 [DOI] [PubMed] [Google Scholar]
  135. Rosenmann H., Meiner Z., Geylis V., Abramsky O., Steinitz M. (2006). Detection of circulating antibodies against tau protein in its unphosphorylated and in its neurofibrillary tangles-related phosphorylated state in Alzheimer’s disease and healthy subjects. Neurosci Lett. 410 90–93. 10.1016/j.neulet.2006.01.072 [DOI] [PubMed] [Google Scholar]
  136. Rudehill S., Muhallab S., Wennersten A., von Gertten C., Al Nimer F., Sandberg-Nordqvist A. C., et al. (2006). Autoreactive antibodies against neurons and basal lamina found in serum following experimental brain contusion in rats. Acta Neurochir. 148 199–205. 10.1007/s00701-005-0673-5 [DOI] [PubMed] [Google Scholar]
  137. Rustenhoven J., Jansson D., Smyth L. C., Dragunow M. (2017). Brain Pericytes As Mediators of Neuroinflammation. Trends Pharmacol. Sci. 38 291–304. 10.1016/j.tips.2016.12.001 [DOI] [PubMed] [Google Scholar]
  138. Salloway S., Sperling R., Gilman S., Fox N. C., Blennow K., Raskind M., et al. (2009). A phase 2 multiple ascending dose trial of bapineuzumab in mild to moderate Alzheimer disease. Neurology 73 2061–2070. 10.1212/WNL.0b013e3181c67808 [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Sampson T. R., Debelius J. W., Thron T., Janssen S., Shastri G. G., Ilhan Z. E., et al. (2016). Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson’s disease. Cell 167 1469.e12–1480.e12. 10.1016/j.cell.2016.11.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Scheperjans F., Aho V., Pereira P. A. B., Koskinen K., Paulin L., Pekkonen E., et al. (2015). Gut microbiota are related to Parkinson’s disease and clinical phenotype. Mov. Disord. 30 350–358. [DOI] [PubMed] [Google Scholar]
  141. Schierwagen R., Alvarez-Silva C., Madsen M. S. A., Kolbe C. C., Meyer C., Thomas D., et al. (2018). Circulating microbiome in blood of different circulatory compartments. Gut 10.1136/gutjnl-2018-316227 [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
  142. Schroeder B. O., Bäckhed F. (2016). Signals from the gut microbiota to distant organs in physiology and disease. Nat. Med. 22 1079–1089. 10.1038/nm.4185 [DOI] [PubMed] [Google Scholar]
  143. Schwartz M., Shechter R. (2010). Systemic inflammatory cells fight off neurodegenerative disease. Nat. Rev. Neurol. 6 405–410. 10.1038/nrneurol.2010.71 [DOI] [PubMed] [Google Scholar]
  144. Senatorov V. V., Friedman A. R., Milikovsky D. Z., Ofer J., Saar-Ashkenazy R., Charbash A., et al. (2019). Blood-brain barrier dysfunction in aging induces hyper-activation of TGF-beta signaling and chronic yet reversible neural dysfunction. Sci. Transl. Med. 11:eaaw8283. 10.1126/scitranslmed.aaw8283 [DOI] [PubMed] [Google Scholar]
  145. Sevigny J., Chiao P., Bussière T., Weinreb P. H., Williams L., Maier M., et al. (2016). The antibody aducanumab reduces Aβ plaques in Alzheimer’s disease. Nature 01 50–56. [DOI] [PubMed] [Google Scholar]
  146. Shanahan F., van Sinderen D., O’Toole P. W., Stanton C. (2017). Feeding the microbiota: transducer of nutrient signals for the host. Gut 66 1709–1717. 10.1136/gutjnl-2017-313872 [DOI] [PubMed] [Google Scholar]
  147. Sherwin E., Bordenstein S. R., Quinn J. L., Dinan T. G., Cryan J. F. (2019). Microbiota and the social brain. Science 366:eaar2016. [DOI] [PubMed] [Google Scholar]
  148. Sigurdsson E. M. (2018). Tau immunotherapies for Alzheimer’s disease and related tauopathies: progress and potential pitfalls. J. Alzheimers Dis. 64(Suppl.1), S555–S565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Singh R. K., Chang H.-W., Yan D., Lee K. M., Ucmak D., Wong K., et al. (2017). Influence of diet on the gut microbiome and implications for human health. J. Transl. Med. 15:73. 10.1186/s12967-017-1175-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Sinha R. K., Wang Y., Zhao Z., Xu X., Burnier L., Gupta N., et al. (2018). PAR1 biased signaling is required for activated protein C in vivo benefits in sepsis and stroke. Blood 15 1163–1171. 10.1182/blood-2017-10-810895 [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Smith C., Graham D. I., Murray L. S., Nicoll J. A. (2003). Tau immunohistochemistry in acute brain injury. Neuropathol. Appl. Neurobiol. 29 496–502. 10.1046/j.1365-2990.2003.00488.x [DOI] [PubMed] [Google Scholar]
  152. Sommer A., Winner B., Prots I. (2017). The Trojan horse - neuroinflammatory impact of T cells in neurodegenerative diseases. Mol. Neurodegener. 12:78. 10.1186/s13024-017-0222-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Sorokina E. G., Vol’pina O. M., Semenova Z. B., Karaseva O. V., Koroev D. O., Kamynina A. V., et al. (2011). [Autoantibodies to α7-subunit of neuronal acetylcholine receptor in children with traumatic brain injury]. Zh. Nevrol. Psikhiatr. Im. S S Korsakova 111 56–60. [PubMed] [Google Scholar]
  154. Soscia S. J., Kirby J. E., Washicosky K. J., Tucker S. M., Ingelsson M., Hyman B., et al. (2010). The Alzheimer’s disease-associated amyloid beta-protein is an antimicrobial peptide. PLoS One 5:e9505. 10.1371/journal.pone.0009505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Su E. J., Fredriksson L., Kanzawa M., Moore S., Folestad E., Stevenson T. K., et al. (2015). Imatinib treatment reduces brain injury in a murine model of traumatic brain injury. Front. Cell. Neurosci. 9:385. 10.3389/fncel.2015.00385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Sweeney M. D., Zhao Z., Montagne A., Nelson A. R., Zlokovic B. V. (2019). Blood-brain barrier: from physiology to disease and back. Physiol. Rev. 01 21–78. 10.1152/physrev.00050.2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  157. Tai X. Y., Koepp M., Duncan J. S., Fox N., Thompson P., Baxendale S., et al. (2016). Hyperphosphorylated tau in patients with refractory epilepsy correlates with cognitive decline: a study of temporal lobe resections. Brain J. Neurol. 139(Pt 9), 2441–2455. 10.1093/brain/aww187 [DOI] [PMC free article] [PubMed] [Google Scholar]
  158. Tanaka J., Nakamura K., Takeda M., Tada K., Suzuki H., Morita H., et al. (1989). Enzyme-linked immunosorbent assay for human autoantibody to glial fibrillary acidic protein: higher titer of the antibody is detected in serum of patients with Alzheimer’s disease. Acta Neurol. Scand. 80 554–560. 10.1111/j.1600-0404.1989.tb03926.x [DOI] [PubMed] [Google Scholar]
  159. Tanriverdi F., De Bellis A., Battaglia M., Bellastella G., Bizzarro A., Sinisi A. A., et al. (2010). Investigation of antihypothalamus and antipituitary antibodies in amateur boxers: is chronic repetitive head trauma-induced pituitary dysfunction associated with autoimmunity? Eur. J. Endocrinol. 162 861–867. 10.1530/EJE-09-1024 [DOI] [PubMed] [Google Scholar]
  160. Tanriverdi F., De Bellis A., Bizzarro A., Sinisi A. A., Bellastella G., Pane E., et al. (2008). Antipituitary antibodies after traumatic brain injury: is head trauma-induced pituitary dysfunction associated with autoimmunity? Eur. J. Endocrinol. 159 7–13. 10.1530/EJE-08-0050 [DOI] [PubMed] [Google Scholar]
  161. Tanriverdi F., Senyurek H., Unluhizarci K., Selcuklu A., Casanueva F. F., Kelestimur F. (2006). High risk of hypopituitarism after traumatic brain injury: a prospective investigation of anterior pituitary function in the acute phase and 12 months after trauma. J. Clin. Endocrinol. Metab. 91 2105–2111. 10.1210/jc.2005-2476 [DOI] [PubMed] [Google Scholar]
  162. Thiyagarajan M., Fernández J. A., Lane S. M., Griffin J. H., Zlokovic B. V. (2008). Activated protein C promotes neovascularization and neurogenesis in postischemic brain via protease-activated receptor 1. J. Neurosci. 28 12788–12797. 10.1523/JNEUROSCI.3485-08.2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  163. Thomas T., Thomas G., McLendon C., Sutton T., Mullan M. (1996). beta-Amyloid-mediated vasoactivity and vascular endothelial damage. Nature 380 168–171. 10.1038/380168a0 [DOI] [PubMed] [Google Scholar]
  164. Tomasdottir V., Thorleifsdottir S., Vikingsson A., Hardardottir I., Freysdottir J. (2014). Dietary omega-3 fatty acids enhance the B1 but not the B2 cell immune response in mice with antigen-induced peritonitis. J. Nutr. Biochem. 25 111–117. 10.1016/j.jnutbio.2013.09.010 [DOI] [PubMed] [Google Scholar]
  165. U.S. National Library of Medicine (2019a). A Long-Term Safety and Tolerability Extension Study Of Bapineuzumab In Alzheimer Disease Patients. Available from: https://clinicaltrials.gov/ct2/show/NCT00998764 [Google Scholar]
  166. U.S. National Library of Medicine (2019b). A Long-Term Safety and Tolerability Study Of Bapineuzumab In Alzheimer Disease Patients 2019. Available from: https://clinicaltrials.gov/ct2/show/NCT00996918 [Google Scholar]
  167. Vacirca D., Delunardo F., Matarrese P., Colasanti T., Margutti P., Siracusano A., et al. (2012). Autoantibodies to the adenosine triphosphate synthase play a pathogenetic role in Alzheimer’s disease. Neurobiol. Aging 33 753–766. 10.1016/j.neurobiolaging.2010.05.013 [DOI] [PubMed] [Google Scholar]
  168. Van Skike C. E., Jahrling J. B., Olson A. B., Sayre N. L., Hussong S. A., Ungvari Z., et al. (2018). Inhibition of mTOR protects the blood-brain barrier in models of Alzheimer’s disease and vascular cognitive impairment. Am. J. Physiol. Heart Circ. Physiol. 314 H693–H703. [DOI] [PMC free article] [PubMed] [Google Scholar]
  169. Vezzani A., French J., Bartfai T., Baram T. Z. (2011). The role of inflammation in epilepsy. Nat. Rev. Neurol. 7 31–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. Virtue A. T., McCright S. J., Wright J. M., Jimenez M. T., Mowel W. K., Kotzin J. J., et al. (2019). The gut microbiota regulates white adipose tissue inflammation and obesity via a family of microRNAs. Sci. Transl. Med. 11:eaav1892. 10.1126/scitranslmed.aav1892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. Vogt N. M., Kerby R. L., Dill-McFarland K. A., Harding S. J., Merluzzi A. P., Johnson S. C., et al. (2017). Gut microbiome alterations in Alzheimer’s disease. Sci. Rep. 7:13537. 10.1242/dmm.041947 [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Wang X., Sun G., Feng T., Zhang J., Huang X., Wang T., et al. (2019). Sodium oligomannate therapeutically remodels gut microbiota and suppresses gut bacterial amino acids-shaped neuroinflammation to inhibit Alzheimer’s disease progression. Cell Res. 29 787–803. 10.1038/s41422-019-0216-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Wang Y., Zhao Z., Rege S. V., Wang M., Si G., Zhou Y., et al. (2016). 3K3A-activated protein C stimulates postischemic neuronal repair by human neural stem cells in mice. Nat. Med. 22 1050–1055. 10.1038/nm.4154 [DOI] [PMC free article] [PubMed] [Google Scholar]
  174. Weksler M. E., Relkin N., Turkenich R., LaRusse S., Zhou L., Szabo P. (2002). Patients with Alzheimer disease have lower levels of serum anti-amyloid peptide antibodies than healthy elderly individuals. Exp. Gerontol. 37 943–948. 10.1016/s0531-5565(02)00029-3 [DOI] [PubMed] [Google Scholar]
  175. Wilson J. S., vainti S., Buccafusco J. J., Schade R. F., Mitchell M. B., Harrell D. U., et al. (2009). Anti-RAGE and Abeta immunoglobulin levels are related to dementia level and cognitive performance. J. Gerontol. A Biol. Sci. Med. Sci. 64 264–271. 10.1093/gerona/gln002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Wu J., Li L. (2016). Autoantibodies in Alzheimer’s disease: potential biomarkers, pathogenic roles, and therapeutic implications. J. Biomed. Res. 30 361–372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  177. Zhang F., Eckman C., Younkin S., Hsiao K. K., Iadecola C. (1997). Increased susceptibility to ischemic brain damage in transgenic mice overexpressing the amyloid precursor protein. J. Neurosci. 17 7655–7661. 10.1523/jneurosci.17-20-07655.1997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  178. Zhang N., Yin S., Zhang W., Gong X., Zhang N., Fang K., et al. (2017). Crystal structure and biochemical characterization of an aminopeptidase LapB from Legionella pneumophila. J. Agric. Food Chem. 65 7569–7578. 10.1021/acs.jafc.7b02849 [DOI] [PubMed] [Google Scholar]
  179. Zhang Z., Zoltewicz J. S., Mondello S., Newsom K. J., Yang Z., Yang B., et al. (2014). Human traumatic brain injury induces autoantibody response against glial fibrillary acidic protein and its breakdown products. PLoS One 9:e92698. 10.1371/journal.pone.0092698 [DOI] [PMC free article] [PubMed] [Google Scholar]
  180. Zheng P., Zeng B., Zhou C., Liu M., Fang Z., Xu X., et al. (2016). Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host’s metabolism. Mol. Psychiatry 21 786–796. 10.1038/mp.2016.44 [DOI] [PubMed] [Google Scholar]
  181. Zhong Z., Ilieva H., Hallagan L., Bell R., Singh I., Paquette N., et al. (2009). Activated protein C therapy slows ALS-like disease in mice by transcriptionally inhibiting SOD1 in motor neurons and microglia cells. J. Clin. Invest. 119 3437–3449. 10.1172/JCI38476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Zhuang Z.-Q., Shen L.-L., Li W.-W., Fu X., Zeng F., Gui L., et al. (2018). Gut microbiota is altered in patients with Alzheimer’s disease. J. Alzheimers Dis. 63 1337–1346. 10.3233/JAD-180176 [DOI] [PubMed] [Google Scholar]
  183. Zlokovic B. V. (2008). The blood-brain barrier in health and chronic neurodegenerative disorders. Neuron 57 178–201. 10.1016/j.neuron.2008.01.003 [DOI] [PubMed] [Google Scholar]
  184. Zlokovic B. V. (2011). Neurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders. Nat. Rev. Neurosci. 12 723–738. 10.1038/nrn3114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  185. Zub E., Canet G., Garbelli R., Blaquiere M., Rossini L., Pastori C., et al. (2019). The GR-ANXA1 pathway is a pathological player and a candidate target in epilepsy. FASEB J. 33 13998–14009. 10.1096/fj.201901596R [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Aging Neuroscience are provided here courtesy of Frontiers Media SA

RESOURCES