| Literature DB >> 36118272 |
Heather E Whitson1,2, Carol Colton3, Joseph El Khoury4, David Gate5, Alison Goate6, Michael T Heneka7, Rima Kaddurah-Daouk8, Robyn S Klein9, Mari L Shinohara10, Sangram Sisodia11, Serena S Spudich12, Beth Stevens13, Rudolph Tanzi14, Jenny P Ting15, Gwenn Garden16.
Abstract
Neuroinflammation has been recognized as a component of Alzheimer's Disease (AD) pathology since the original descriptions by Alois Alzheimer and a role for infections in AD pathogenesis has long been hypothesized. More recently, this hypothesis has gained strength as human genetics and experimental data suggest key roles for inflammatory cells in AD pathogenesis. To review this topic, Duke/University of North Carolina (Duke/UNC) Alzheimer's Disease Research Center hosted a virtual symposium: "Infection and Inflammation: New Perspectives on Alzheimer's Disease (AD)." Participants considered current evidence for and against the hypothesis that AD could be caused or exacerbated by infection or commensal microbes. Discussion focused on connecting microglial transcriptional states to functional states, mouse models that better mimic human immunity, the potential involvement of inflammasome signaling, metabolic alterations, self-reactive T cells, gut microbes and fungal infections, and lessons learned from Covid-19 patients with neurologic symptoms. The content presented in the symposium, and major topics raised in discussions are reviewed in this summary of the proceedings.Entities:
Keywords: Alzheimer's; Fungi; Infection; Inflammasome; Inflammation; Metabolism; Microbe; Microbiome; Microglia
Year: 2022 PMID: 36118272 PMCID: PMC9475126 DOI: 10.1016/j.bbih.2022.100462
Source DB: PubMed Journal: Brain Behav Immun Health ISSN: 2666-3546
Critical gaps in our knowledge regarding the potential role of infection or microbes in Alzheimer's disease.
| Topic Areas | Knowledge Gaps |
|---|---|
| Microglia | What are the triggers for microglial state changes? |
| How does microglial | |
| How do microglial dynamics change with age, or in the setting of chronic inflammation? | |
| Which microglial pathways and signals, when manipulated, alter disease-specific outcomes? | |
| Are there unique micro(glia) clusters and/or subtypes that preferentially drive processes of neurodegeneration after infection? | |
| Microbiome, Autoimmunity, and Inflammasome | Can generalized inflammation or immune system activation trigger processes that initiate, unmask or worsen neurodegenerative disease? |
| Do sex-specific differences in microbiome drive sex-based differences in AD development and progression? | |
| How does the “mycobiome” (fungal) contribute to AD risk? | |
| Does “trained immunity” (innate immune memory) contribute to CNS inflammation and AD risk? | |
| Do T cell-neuron interactions play a role in the development of AD pathology? How are APOE status and neuronal MHC expression involved in interactions between neurons and T cells? | |
| Are specific inflammasome-mediating agents, such as NLRP3 inhibitors or anti-IL1β antibodies or IL1Ra, potential therapeutics for Alzheimer's disease? | |
| Does modulation of the human gut microbiome alter AD risk or progression? | |
| Brain metabolism, amyloid, and tau | Do AD-associated changes in brain metabolism precede or follow neuroinflammation, or is the relationship bidirectional? |
| What is the role of microbes in triggering changes in brain metabolism or amyloid production or removal? | |
| Does amyloid play an antimicrobial role in human brains? | |
| Does neuroinflammation, microglial activation, or microbe exposure alter the progression from amyloid accumulation to tauopathy in AD? | |
| Specific pathogens and AD risk | Does COVID-19 infection impact AD risk or progression? |
| If there are specific pathogens involved in AD development or risk, does the timing, severity, location, or duration of exposure matter? | |
| Can meta-scale metabolomics and metagenomic analyses identify individual microbial species, microbial communities, or microbial metabolites that play a role in AD? | |
| Even if pathogen exposure is not needed to cause AD pathology, is it possible that some pathogens trigger brain changes (e.g., memory cell formation, complement activation, loss of synapses) that impede resilience to AD, thus worsening cognitive symptoms? | |
| Blood-brain barrier | How might blood-brain barrier dysfunction and neuronal pathways lead to neuroinflammation and cognitive decline? |
| Are there more vulnerable areas of the brain that facilitate microbial entry or other pathologic features following infection, in the context of aging and neurodegeneration? | |
| What are the limitations of plasma biomarkers (NfL, sTREM2, S100b etc) as indicators of barrier damage and CNS pathology, and are there more specific approaches that could be developed? |
AD = Alzheimer's disease; APOE = apolipoprotein e; CNS = central nervous system; COVID-19 = coronavirus disease of 2019; IL = interleukin; IL1R = interleukin 1 receptor; MHC = major histocompatibility complex; Nfl = neurofilament light chain; NLRP3 = NLR family pyrin domain containing 3; sTREM2 = soluble triggering receptor expressed on myeloid cells 2; s100b = soluble astrocyte marker 100b.
Resources needed to advance science on the potential role of infection or microbes in Alzheimer's disease.
| Fields of Study | Resource Needs |
|---|---|
| Genomic/Proteomic | Human brain tissue linked to data on pathogen exposure |
| Signatures associated with prior infection or exposure (rather than relying on detection of active infection or presence of microbes) | |
| Comprehensive libraries of self and non-self antigens and antibodies | |
| Model Systems | Animal models that mimic the immune systems and functions, neurodegenerative patterns, and microbial susceptibility of humans |
| Validated measures in iPSC models of specific brain cell functions that have been linked to AD or neurodegeneration | |
| Biomarkers that non-invasively track disease-associated states of microglia, neuronal dysfunction, and blood-brain barrier permeability | |
| Population-based studies | Biological repositories linked with clinical data from diverse populations |
| Longitudinal cohort studies to track changes in microbiome or antibody/antigen profile over the lifespan, linked to disease-specific outcomes | |
| Dementia-relevant endpoints in ongoing studies of people who have been exposed to a pathogen (e.g. longitudinal studies of COVID-19 survivors) |
AD = Alzheimer's disease; COVID-19 = coronavirus disease of 2019; iPSC = induced pluripotent stem cells.
Key for abbreviations and acronyms.
| Acronym/Abbreviation | Complete Name or explanation |
|---|---|
| 5XFAD | Five familial Alzheimer's Disease mutation (a common mouse model used in AD studies) |
| Aβ | Amyloid beta |
| AD | Alzheimer's disease |
| AG | Arginase |
| APP | Amyloid Precursor Protein |
| APPSWE/PS1ΔE9 | A transgenic mouse model for studying AD |
| BZLF1 | |
| CD33 | Cluster differentiation 33 (a transmembrane marker on myeloid cells) |
| CNS | Central nervous system |
| CreERT2 | Cre recombinase (Cre) fused to a mutant estrogen ligand-binding domain (ERT2), which can be activated by tamoxifen |
| CVN-AD | A transgenic mouse model of AD |
| Covid-19 | Coronavirus disease of 2019 |
| CSF | Cerebrospinal fluid |
| Cx3cR1 | C-X3-C Motif Chemokine Receptor 1 |
| GLIPH | Grouping of lymphocyte interactions by partope hotspots |
| GWAS | Genome wide association studies |
| HSV | Herpes simplex virus |
| IFN | Interferon |
| IL | Interleukin |
| iMGLs | Induced microglial-like cells |
| MCC950 | An NLRP3 inflammasome inhibitor |
| MHC 1 | Major histocompatibility complex 1 |
| MS | Multiple sclerosis |
| NLRP3 | NLR family pyrin domain containing 3 (name of a protein or gene involved in innate immunity) |
| NOS | Nitric oxide synthase |
| OLT1177 | An NLRP3 inflammasome inhibitor |
| OSM | Oncostatin M |
| PASC | Post-acute sequalae of COVID-19 |
| Pro-IL1 | Precursor to interleukin 1 |
| PU.1 | A transcription factor protein that binds to a purine-rich sequence called the PU-box |
| Gene that codes for the protein PU.1 | |
| TCR | T cell receptor |
| TdTomato | A brightly red fluorescent protein |
| Th17 cells | T helper 17 cells |
| TMEM119 | Transmembrane protein 119 |
| TREM2 | Triggering receptor expressed on myeloid cells 2 (a transmembrane marker mainly on microglia) |
| SARS-Cov-2 | Severe acute respiratory syndrome coronavirus 2 (virus causing COVID-19) |
Fig. 1Legend: Potential Mechanisms by which Microbes May Drive Onset or Progression of Alzheimer's Disease (AD). Humans are continuously exposed to microbial agents, including viruses, bacteria, and fungi, which exist in the environment as well as in normal microbiomes in the body. This symposium reviewed multiple hypotheses related to how microbes, whether or not they act as infection-causing pathogens, may contribute to AD. Microbes in the gut metabolize bile acids, which are thought to contribute to biochemical communication between the gut and brain and may influence immunological states and amyloid deposition in the brain. When microbes of any type gain access to the blood, they may exert changes on the brain through the blood brain barrier. If microbes directly cross the barrier, they may stimulate amyloid deposition in the brain, considering evidence that amyloid has antimicrobial properties. Microbes in the brain could also cause or exacerbate microglial activation or other immunological responses known to be implicated in AD. Microbes in the bloodstream may also exert immune reactions in the brain by activating T cells or perivascular myeloid cells.