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Symposium

Symposium: What Does the Microbiome Tell Us about Prevention and Treatment of AD/ADRD?

Joia K. Capocchi, Claudia Figueroa-Romero, Sage J. B. Dunham, Gina Faraci, Jason A. Rothman, Katrine L. Whiteson, Dong-oh Seo, David M. Holtzman, Stefanie Grabrucker, Yvonne M. Nolan, Rima Kaddurah-Daouk and David A. Jett
Journal of Neuroscience 9 October 2024, 44 (41) e1295242024; https://doi.org/10.1523/JNEUROSCI.1295-24.2024
Joia K. Capocchi
1University of California, Irvine, Irvine, California 92697
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Claudia Figueroa-Romero
2National Institute of Neurological Disorders and Stroke, Rockville, Maryland 20852
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Sage J. B. Dunham
1University of California, Irvine, Irvine, California 92697
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Gina Faraci
1University of California, Irvine, Irvine, California 92697
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Jason A. Rothman
1University of California, Irvine, Irvine, California 92697
3University of California, Riverside, Riverside, California 92521
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Katrine L. Whiteson
1University of California, Irvine, Irvine, California 92697
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Dong-oh Seo
4Washington University School of Medicine in St. Louis, St. Louis, Missouri 63110
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David M. Holtzman
4Washington University School of Medicine in St. Louis, St. Louis, Missouri 63110
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Stefanie Grabrucker
5Department of Anatomy and Neuroscience, University College Cork, Cork T12 XF62, Ireland
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Yvonne M. Nolan
5Department of Anatomy and Neuroscience, University College Cork, Cork T12 XF62, Ireland
6APC Microbiome Ireland, University College Cork, Cork T12 YT20, Ireland
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Rima Kaddurah-Daouk
7Duke University School of Medicine, Durham, North Carolina 27710
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David A. Jett
2National Institute of Neurological Disorders and Stroke, Rockville, Maryland 20852
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Abstract

Alzheimer's disease (AD) and Alzheimer's disease-related dementias (ADRDs) are broad-impact multifactorial neurodegenerative diseases. Their complexity presents unique challenges for developing effective therapies. This review highlights research presented at the 2024 Society for Neuroscience meeting which emphasized the gut microbiome's role in AD pathogenesis by influencing brain function and neurodegeneration through the microbiota–gut–brain axis. This emerging evidence underscores the potential for targeting the gut microbiota to treat AD/ADRD.

Introduction

Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRDs) are among the leading causes of death in the United States, creating a significant health, economic, and societal burden for patients, caregivers, and society at large (Wong, 2020). AD/ADRDs are late onset, multifactorial, progressive, and terminal neurodegenerative diseases characterized by impaired cognition and behavior, memory loss, and dementia. The pathophysiological hallmarks of AD include the aggregation and spread of hyperphosphorylated tau proteins and amyloid- (Aβ) plaques accumulation in the brain, which lead to neuroinflammation, neuronal loss, and neurodegeneration (Ballatore et al., 2007; Sexton et al., 2024). AD and ADRDs—including frontotemporal dementia (FTD), Lewy body dementia, and other brain disorders—share many cognitive and physiological pathologies. These characteristics are observed beyond AD, representing a host of tau-mediated neurodegenerative disorders and dementias. Despite its significant health impact, clinical relevance to a broad scope of disorders, and prolific research investment, AD etiology is not completely understood.

Genes such as apolipoprotein E (APOE) and triggering receptor expressed on myeloid cells 2 (TREM2) are risk factors for late-onset AD; however only a small number of AD cases are caused by autosomal dominant mutations in amyloid precursor protein (APP), presenilin (PSEN) 1/2 (Guerreiro et al., 2013; Perkovic and Pivac, 2019). Most cases are believed to result from interactions between the genome and the exposome—nonheritable environmental factors such as diet, microbes, lifestyle, socioeconomic status, and environmental exposures (Tamiz et al., 2022). Peripheral influences on brain health are important to understand AD complexity and heterogeneity toward the development of effective treatments. Symbiotic microbes live in the gastrointestinal tract and are referred to as the gut microbiota. The gastrointestinal tract hosts ∼70% of the body's immune cells, >100 million enteric neurons, and ∼40 trillion bacteria (Yoo and Mazmanian, 2017). This colocalization of a myriad of immune, neural, and bacterial cells creates complex interactions regulating human health across all systems, including the central nervous system (Schroeder and Backhed, 2016). The bidirectional communication between the gastrointestinal tract and the brain suggests that the gut microbiota impacts brain function and influences neurodegenerative processes in AD (Erny et al., 2015; Thion et al., 2018; Kling et al., 2020; Spichak et al., 2021; Chandra et al., 2023). Furthermore, genetic overlap between AD and gastrointestinal disorders suggests an interaction between the gut microbiome and genetics in AD pathogenesis (Adewuyi et al., 2022). A better mechanistic understanding of how the microbiome influences AD/ADRD onset and progression is leading toward new molecular targets for drug development and the potential use of pre- and probiotics as an added therapeutic intervention.

This review describes the current understanding of how the microbiome, genetics, and the nervous system interact to influence AD, neurodegeneration, and neuroinflammation. Talks presented at the 2024 Society for Neuroscience meeting highlighted the importance and implications of the gut microbiome in AD. This review is divided into three sections. The first discusses the role of the gut microbiome and its metabolites in disease pathogenesis. The second examines implications of the gut microbiome in experimentation: primarily, the importance of well-designed studies to consider the gut microbiome–brain axis and how the gut microbiome impacts the reliability of animal models. The third section highlights microbiome-based interventions for treatment and management of AD. Research presented on AD and the microbiome has broad implications for many neurodegenerative diseases, tauopathies, and ADRDs which present conserved pathophysiological patterns.

The Microbiome and Neurodegeneration

Gut dysbiosis

A mutualistic and balanced relationship between microbiota and the host (eubiosis) supports human health, while dysbiosis, or disruptions to microbial communities, is linked to disease. Gut bacterial communities differ between AD patients and cognitively normal individuals (Hung et al., 2022; Chen et al., 2023). Similar findings have been found in individuals with mild cognitive impairment (MCI), suggesting that shifts in microbiome composition and metabolism may contribute to dementia progression, possibly through impaired adult hippocampal neurogenesis (Sheng et al., 2021). In AD patients, the relative abundance of the bacterial phylum Firmicutes, which produces essential metabolites, is lower whereas the proinflammatory taxa Bacteroidetes is higher (Cattaneo et al., 2017; Murray et al., 2022; Grabrucker et al., 2023). Additionally, the relative abundance of serotonin-transporting bacterium Turicibacter spp. decreases in cohorts of AD patients in an age-dependent manner (Vogt et al., 2017). Animal models that recapitulate human AD display similar microbiome and microbial metabolic profiles. For example, the relative abundance of Turicibacter spp. decreases with age in the transgenic Aβ mouse model, 5xFAD, when compared with wild-type animals (Dunham et al., 2022). Further, the microbiota composition of hAβ-KI (late-onset AD) mouse models differed from 3xTg-AD (early-onset AD) mouse models and from wild-type controls, driven primarily by dissimilar abundance of Romboutsia ilealis and Turicibacter species (Dunham et al., 2024).

In AD, the hippocampus is one of the first brain regions affected (Braak et al., 1993). Although still debated, the hippocampus is host to a population of neural stem cells in the dentate gyrus subfield, which generate new neurons throughout the lifespan in a process of neural plasticity called adult hippocampal neurogenesis (Kempermann et al., 2015; Kozareva et al., 2019). Adult-born neurons integrate into the hippocampal circuitry required for episodic memory functions such as pattern separation, one of the initial cognitive impairments in aging AD patients (Moreno-Jimenez et al., 2019; Tobin et al., 2019; Salta et al., 2023; Lazarov et al., 2024). Expounding the role of the gut microbiota in adult hippocampal neurogenesis, germ-free mice devoid of microorganisms and antibiotic treatment experiments in rats have shown decreased adult hippocampal neurogenesis and associated AD behavior (Ogbonnaya et al., 2015; Nicolas et al., 2024).

Fecal microbiota transplantation is the transfer of a microbial community from a donor to a recipient host, and is a tool to establish causal relationships between altered microbiomes and the host's physiological or pathological condition. Fecal transplantation from AD patients into microbiota-depleted young rats increased the abundance of harmful Desulfovibrio bacteria compared with control rats receiving fecal samples from healthy subjects (Grabrucker et al., 2023). Notably, the gut microbiota from AD patients caused memory deficits in the recipient rats. In particular, impairments in pattern separation were observed coupled with reduced adult hippocampal neurogenesis and an altered caecal and hippocampal metabolome. These results suggest that Desulfovibrio may be a compositional gut microbiome signature for AD cognitive status. Similar results have been observed in preclinical studies where fecal microbiota transplantation from an AD transgenic mouse model resulted in memory and adult hippocampal neurogenesis impairments in healthy control mice (N. Kim et al., 2021). These studies demonstrate that AD's symptoms are transferred to a healthy organism via the gut microbiota and suggest that AD pathogenesis is a converging cellular process impacted by circulatory and gut-mediated factors, including microbe-derived metabolites (Maruszak et al., 2023).

Microbial-derived metabolites

Gut microbiota secrete bioactive metabolites into the bloodstream, including neuroactive molecules that modulate host brain function. Metabolomics (study of metabolites) allows for the simultaneous detection of compounds that may be involved in disease pathology and progression and provides a snapshot of the individual overall metabolic state. Bacteria-derived metabolites are associated with biological pathways altered in AD such as peripheral immunity, adult hippocampal neurogenesis, and cognitive decline (Hernandez-Benitez et al., 2012; Gebara et al., 2015; MahmoudianDehkordi et al., 2019; Nho et al., 2019; Baloni et al., 2020; Jia et al., 2020; Grabrucker et al., 2023; Schweickart et al., 2023; Seo et al., 2023). Though causative mechanisms have not yet been described, shifts in microbiome composition are associated with metabolic neurodegenerative processes (C. S. Kim, 2024). Bioavailability and metabolism of various metabolites have been experimentally associated with AD/ADRD, including biosynthesis of tryptophan, short-chain fatty acids (SCFAs), trimethylamine N-oxide (TMAO), neurotransmitters like histamine, GABA, serotonin, dopamine, indole-containing compounds, and branched-chain amino acids (Bravo et al., 2011; Pedersen et al., 2016; Toledo et al., 2017) Human hippocampal progenitor cells exposed to serum (containing circulatory metabolites) from AD patients resulted in a decrease in proliferation and differentiation of the progenitor cells; these in vitro neurogenic readouts correlated with cognitive screening scores and key gut microbial species of the AD patients (Maruszak et al., 2023).

Neuroinflammation and neurodegeneration in AD are influenced by SCFAs, which affect Aβ plaque pathogenesis, modulate plaque neurotoxicity, and mediate anti-inflammatory signaling in vitro (Ho et al., 2018). Notably, SCFAs are reduced in the blood of AD patients with brain Aβ pathology (Marizzoni et al., 2020). Additionally, gut SCFA production alters microglial response to plaque burden in the AD brain by modulating expression of disease-associated microglial genes such as TREM2, APOE, and others involved in activation or suppression of the neuroinflammation-neurodegeneration pathway (Erny et al., 2021; Huang et al., 2023). Specific mechanisms involved in glial modulation are unknown; SCFAs may regulate glial function after entering the brain via epigenetic and mitochondrial metabolic mechanisms (Erny et al., 2021). These results support previous reports implicating the brain innate immunity (i.e., glia) in the development of Aβ and tau pathology and neurodegeneration (Shi and Holtzman, 2018; Shi et al., 2019).

Serotonin, carnosine, several phosphatidylcholines, and phenylacetone are differentially abundant in AD mouse model biosamples (5xfAD and APP transgenic mice) when compared with wild-type animals (Kimball et al., 2016; Dunham et al., 2022). Serotonin is a neurotransmitter regulating brain function, cognition, and mood (Aaldijk and Vermeiren, 2022; Goncalves et al., 2022; Baker et al., 2024). Consistent with shifts in microbiota, the serotonin system is altered in MCI and AD (Smith et al., 2023a,b). Peripheral serotonin bioavailability, and neurotransmitter metabolism more broadly, is regulated in the intestine by bacteria species, including Turicibacter spp. (Fung et al., 2019). Although 90% of the human body's serotonin is gut derived, serotonin secreted to the periphery does not cross the blood–brain barrier (El-Merahbi et al., 2015; Dunham et al., 2022). The influence of microbial serotonin on and its mechanistic relationship with pathogenesis in the brain is complex and requires further investigation.

The gut microbiome–brain axis is also altered in mood disturbances such as depressive episodes, anxiety, and aggression, which are common behavioral presentations of neurodegenerative pathology (Grossberg et al., 2020). Altered gut microbial composition, bacteria-derived metabolites, and intestinal symptoms are linked to neuropsychiatric disorders inlcuding anxiety and depression (Brydges et al., 2021; MahmoudianDehkordi et al., 2022). Altogether, these findings suggest that the gut microbiota impact the CNS beyond the secretion of proinflammatory or immune mediators into the periphery but through modulation of neurotransmitter metabolism and other neuroactive molecules such as secondary bile acids. Thus, bacteria-derived metabolites may serve as biomarkers for AD pathology and could be used as a noninvasive screen for progression of diseases.

Experimental Considerations

Among other environmental factors, microbiota significantly influence AD/ADRD and should be considered in preclinical research. Reliable animal models and effective study designs are essential to identify the complex biological networks defining the gut microbiome–brain axis in AD/ADRD (Vogt et al., 2017). Most animal studies of neurodegenerative disease do not consider the microbiome, despite emerging clues about the role of microbial exposures on disease onset and progression. For example, timing of neurological symptoms onset and lifespan are modified whether pathogen-free conditions are used (Figueroa-Romero et al., 2019), phenotypes are lost in animal models when moving to new facilities, and phenotypes differ between cages or facilities (Servick, 2016). These suggest that microbial exposures interact with biological processes and genetic factors triggering neuronal pathology.

Cage effects

Cohoused animals share strong microbial features, similarly to how humans share microbes within households (Song et al., 2013). Cage-dependent microbiome and metabolomic signals often outweigh those related to genotype or disease progression and should be carefully considered in study design (Ericsson et al., 2018). Across microbiome studies, individual and family-related microbiome variance is greater than other factors, such as disease state. “Cage effects” can obscure results, especially in animals like mice, where these effects account for up to 80% of microbiome variance and 20% of metabolite variance (Dunham et al., 2022). In addition, mice are coprophagic rodents; they obtain essential nutrients by eating feces from their cages. This fecal microbial self-reinoculation affects mouse gut microbial composition. Co-housing experiments have demonstrated that healthy animals can develop AD-like phenotypes via coprophagic exposure to mice with AD (Wang et al., 2019). Thus, reducing animal density and treating the cage as the unit of replication will reduce experimental variance and will improve the reproducibility of the microbiome in neurodegeneration animal studies (Bogatyrev et al., 2020; Ericsson and Franklin, 2021; Russell et al., 2022).

Animal models and treatments

The conditions in which laboratory animal models are raised suggest that microbial exposure influences AD pathology, progression, and lifespan. AD transgenic gnotobiotic mice—animals born and raised in sterile conditions—or antibiotic-treated animals present decreased Aβ brain pathology, reduced glial reactivity, and altered immune response compared with wild-type mice (Minter et al., 2016; Harach et al., 2017). Although antibiotics are widely used to perturb the commensal gut microbiome in animal models, behavioral off-target effects such as water and food consumption should be considered (Bongers et al., 2022).

New animal models are emerging to better recapitulate human conditions and to improve the validity and translatability of AD preclinical studies to humans. The wildling mice are natural microbiota-based models, which have shown to better resemble human immune responses than the conventional laboratory mice (Rosshart et al., 2019). Humanized AD/ADRD wildling mice could offer better understanding on how environmental conditions impact the gut microbiome–brain axis in AD/ADRD.

Genome and sex-specific effects

Investigating the interplay between metabolomics and the microbiome in AD has uncovered gene- and sex-dependent differences, shedding light on how these factors together influence disease progression and biological processes. Dunham and colleagues used shotgun metagenomic sequencing and untargeted metabolomics to show that female hAβ-KI mice (late-onset AD) harbored distinct microbiomes when compared with their age- and sex-matched wild-type counterparts (Dunham et al., 2024). Eighteen percent of the microbiome variance was attributable to genotype, and the differences were largely driven by the increased abundance of several low abundance microbes (2% relative abundance or lower), as well as a single high-abundance Muribaculum species, which was significantly depleted in female hAβ-KI mice. Conversely, the male hAβ-KI microbiomes were indistinguishable from control mice.

Neurodegenerative disease mouse models differ by sex in their presentation of pathology and their response to experimental treatments. Pathological phenotypes of female mice from amyloidosis and tau pathology models respond to microbiome perturbations and antibiotic treatment dissimilarly to their male counterparts when compared with wild-type mice (Dodiya et al., 2019; Chandra et al., 2023; Seo et al., 2023). In addition, ovariectomy to females decreases Aβ pathology and plaque-associated microglia. These observations implicate the complex interaction between sex-specific hormonal modulations, gut microbiota dynamics, and pathology (Saha et al., 2024). Future studies combining ovariectomy and antibiotics in different AD animal models may clarify the differential response to antibiotics in the tau- and Aβ-mediated neurodegeneration.

Seo and colleagues investigated whether the gut microbiota regulates tau-mediated neurodegeneration by interacting with APOE isoforms. AD is the most common of tauopathies, presenting with tau-associated neurodegeneration comparable with other primary tauopathies, including frontotemporal dementia (FTD) and Pick's disease, primary supranuclear palsy (PSP), and corticobasal degeneration (CBD). The gut microbiota structure in tau-mediated neurodegeneration is affected by apolipoprotein E (APOE) isoforms, the strongest genetic risk factors for AD (Shi et al., 2017; Tran et al., 2019; Parikh et al., 2020). Manipulation of the gut microbiota in a mouse model of tauopathy expressing P301S human mutant tau and different forms of human APOE revealed a significant microbial contribution to tauopathy. Under germ-free conditions (those devoid of microorganisms), tau-mediated neurodegeneration was blocked. Following short-term antibiotic treatment during early life, Seo et al. observed a drastic reduction of AD pathological hallmarks, such as neuroinflammation, hyperphosphorylated tau, and severe brain atrophy in male mice carrying APOE3, but not APOE4. Notably, these phenotypic effects of early life antibiotics were not observed in females. In addition, when supplementing SCFAs to adult germ-free P301S/APOE4 mice, reactive glial phenotype and gene expression, tau pathology, and neurodegeneration increased (Seo et al., 2023). These observations suggest that the gut microbiota may play an essential role in modulating tau-mediated neurodegeneration and the severity of the pathology is altered depending on APOE genotype and by sex.

Finally, interactions between microbial produced metabolites, microbiota, AD pathology, and sex have been observed in the APOE4*TREM2 and hAB-KI AD animal models, which exhibit different levels of amino acids, glycerophospholipids, acylcarnitines, secondary bile acid, taurodeoxycholic acid, and peptides in a sex-dependent manner (Dunham et al., 2024; Pandey et al., 2024). Sex-dependent metabolite biomarkers may also facilitate early AD diagnosis.

Microbiome-Based Interventions for AD/ADRD

Incomplete etiology of most neurodegenerative diseases halts the development of efficient therapies. Current strategies for treating AD include targeting abnormal protein formation by using pharmacological modulation of tau microtubules and hyperphosphorylation and Aβ plaque clearance (Pardo-Moreno et al., 2022). However, none of these strategies have proven effective in humans, perhaps due to the complex pathophysiology of the disease and other unknown factors beyond biochemical abnormalities with tau and Aβ. Clinical and preclinical studies suggest that the gut microbiota could serve as a therapeutic strategy to slow the progression of AD and other tauopathies (Seo et al., 2023). Approaches to shift the microbiome composition from dysbiosis to eubiosis in AD/ADRD include antibiotics, prebiotics (beneficial foods), probiotics (live beneficial organisms), and postbiotics (metabolites; Seo and Holtzman, 2024).

Antibiotic treatment has been suggested as a potential therapy for AD. A recent epidemiological study analyzing public health insurance data in Germany reported that antibiotics decreased the likelihood of developing dementia (Rakusa et al., 2023). However, there are reports indicating that antibiotic treatment is associated with cognitive impairment (Ye et al., 2024). Thus, a better understanding of the microbes and pathways altered by antibiotics is needed.

Fecal microbiota transplantation is an emerging approach for restoring gut microbiota in neurodegenerative disease (Ghezzi et al., 2022). A case study reported that an AD patient receiving a fecal microbiota transplant from a healthy donor to treat Clostridioides difficile, an infection of the gastrointestinal tract, presented with attenuated AD symptoms (Hazan, 2020). Refinement of fecal microbiota transplantation to optimize and prolong engraftment efficiency and mitigate risk of side effects from potential transmission of detrimental microbiota will offer therapeutic strategies for intervention in AD. In addition, microbiome composition can be altered by diet. The modified Mediterranean ketogenic diet and curcumin intake shift gut microbial composition in AD patients, resulting in improved cerebrospinal fluid AD biomarker profiles, modulation of gamma-aminobutyric acid (GABA) metabolism, and restoration of bile acid pool. Dietary interventions, including antioxidants and anti-inflammatory rich diets, reduced caloric intake, and supplementation of gut-derived fatty acids, are noninvasive means to positively influence metabolic profile, gut microbiota, and health in those at risk for AD (Nho et al., 2019; Dilmore et al., 2023; Ross et al., 2024).

Conclusion

The gut microbiome–brain axis significantly impacts AD/ADRD pathogenesis, the study of neurodegeneration, and the development of prospective therapeutics for neurodegenerative diseases. First, the microbiome is associated with neurodegenerative mechanisms; gut dysbiosis is linked to AD with compositional characteristics correlating to pathophysiology and neurogenesis. Second, microbiomes are a significant confounding factor and promising target in the study of neurodegenerative disease mechanisms in animal models. Microbiota variation confers cage effects and significantly influences AD animal research outcomes. Robust animal models that consider microbial exposure, genetic factors, diet, and sex-specific responses are essential for replicating and translating human disease mechanisms and testing treatments. Third, therapeutic strategies targeting the gut microbiome, such as fecal microbiota transplantation and dietary changes, show promise in modulating AD by restoring microbial balance.

Novel tools analyze how the microbiome interacts with other biological systems. Resources like the Human Microbial Metabolome Database (MiMeDB) are essential for identifying key interactions between microbes and metabolites, providing valuable support for AD/ADRD research (Wishart et al., 2023). Initiatives such as the AD Metabolomics Consortium (ADMC) and the AD Neuroimaging Initiative (ADNI) are using advanced technologies to map metabolic dysregulation in AD, offering new insights into disease mechanisms and potential treatments (Wishart et al., 2023).

Continued exploration of the gut microbiome's role in pathogenesis and methods for microbiota reconditioning will advance the study and treatment of AD/ADRD. Understanding biochemical connections between the gut, brain, and other organs will progress effective interventions in the fight against debilitating neurodegenerative diseases. More mechanistic research is needed to fully understand the complex interactions between microbiota, microbial metabolism, and disease-related molecular targets. Collaborative efforts across various fields, including neurology and microbiome research, are crucial for advancing our understanding and developing innovative interventions for AD/ADRD.

Footnotes

  • This work was supported by grants from the Good Ventures Foundation and the Cure Alzheimer’s Fund to D.M.H.; Science Foundation Ireland to Y.M.N.; NIA U54AG054349 to K.L.W, J.A.R., S.J.B.D., and G.F.; NIA Aging and Alzheimer’s Disease Training Grant (T32 AG00096-38) funding to J.A.R., S.J.B.D., and G.F. Large NIA funded initatives l inlcudes Alzheimer Gut Microbiome Project and Alzheimer Disease Metabolomics Consortium funded wholly or in part by the following grants and supplements thereto: NIA R01AG046171, RF1AG051550, RF1AG057452, R01AG059093, RF1AG058942, U01AG061359, U19AG063744 and FNIH: #DAOU16AMPA awarded to Dr. Kaddurah-Daouk at Duke University in partnership with a large number of academic institutions.

  • The views expressed are the authors’ own and do not necessarily reflect those of the National Institutes of Health, the Department of Health and Human Services, or the United States government.

  • ↵*J.K.C. and C.F.-R. contributed equally to this work.

  • The authors declare no competing financial interests. R.K.-D. is an inventor on key patents in the metabolomics field and holds equity in Metabolon and Chymia.

  • Correspondence should be addressed to David A. Jett at jettd{at}ninds.nih.gov.

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References

  1. ↵
    1. Aaldijk E,
    2. Vermeiren Y
    (2022) The role of serotonin within the microbiota-gut-brain axis in the development of Alzheimer's disease: a narrative review. Ageing Res Rev 75:101556. https://doi.org/10.1016/j.arr.2021.101556
    OpenUrlCrossRefPubMed
  2. ↵
    1. Adewuyi EO,
    2. O'Brien EK,
    3. Nyholt DR,
    4. Porter T,
    5. Laws SM
    (2022) A large-scale genome-wide cross-trait analysis reveals shared genetic architecture between Alzheimer's disease and gastrointestinal tract disorders. Commun Biol 5:691. https://doi.org/10.1038/s42003-022-03607-2 pmid:35851147
    OpenUrlPubMed
  3. ↵
    1. Baker NR, et al.
    (2024) Nutrient and moisture limitations reveal keystone metabolites linking rhizosphere metabolomes and microbiomes. Proc Natl Acad Sci U S A 121:e2303439121. https://doi.org/10.1073/pnas.2303439121 pmid:39093948
    OpenUrlPubMed
  4. ↵
    1. Ballatore C,
    2. Lee VM,
    3. Trojanowski JQ
    (2007) Tau-mediated neurodegeneration in Alzheimer's disease and related disorders. Nat Rev Neurosci 8:663–672. https://doi.org/10.1038/nrn2194
    OpenUrlCrossRefPubMed
  5. ↵
    1. Baloni P, et al.
    (2020) Metabolic network analysis reveals altered bile acid synthesis and metabolism in Alzheimer's disease. Cell Rep Med 1:100138. https://doi.org/10.1016/j.xcrm.2020.100138 pmid:33294859
    OpenUrlPubMed
  6. ↵
    1. Bogatyrev SR,
    2. Rolando JC,
    3. Ismagilov RF
    (2020) Self-reinoculation with fecal flora changes microbiota density and composition leading to an altered bile-acid profile in the mouse small intestine. Microbiome 8:19. https://doi.org/10.1186/s40168-020-0785-4 pmid:32051033
    OpenUrlCrossRefPubMed
  7. ↵
    1. Bongers KS,
    2. McDonald RA,
    3. Winner KM,
    4. Falkowski NR,
    5. Brown CA,
    6. Baker JM,
    7. Hinkle KJ,
    8. Fergle DJ,
    9. Dickson RP
    (2022) Antibiotics cause metabolic changes in mice primarily through microbiome modulation rather than behavioral changes. PLoS One 17:e0265023. https://doi.org/10.1371/journal.pone.0265023 pmid:35298489
    OpenUrlPubMed
  8. ↵
    1. Braak H,
    2. Braak E,
    3. Bohl J
    (1993) Staging of Alzheimer-related cortical destruction. Eur Neurol 33:403–408. https://doi.org/10.1159/000116984
    OpenUrlCrossRefPubMed
  9. ↵
    1. Bravo JA,
    2. Forsythe P,
    3. Chew MV,
    4. Escaravage E,
    5. Savignac HM,
    6. Dinan TG,
    7. Bienenstock J,
    8. Cryan JF
    (2011) Ingestion of Lactobacillus strain regulates emotional behavior and central GABA receptor expression in a mouse via the vagus nerve. Proc Natl Acad Sci U S A 108:16050–16055. https://doi.org/10.1073/pnas.1102999108 pmid:21876150
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Brydges CR, et al.
    (2021) Indoxyl sulfate, a gut microbiome-derived uremic toxin, is associated with psychic anxiety and its functional magnetic resonance imaging-based neurologic signature. Sci Rep 11:21011. https://doi.org/10.1038/s41598-021-99845-1 pmid:34697401
    OpenUrlPubMed
  11. ↵
    1. Cattaneo A, 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. https://doi.org/10.1016/j.neurobiolaging.2016.08.019
    OpenUrlCrossRefPubMed
  12. ↵
    1. Chandra S,
    2. Sisodia SS,
    3. Vassar RJ
    (2023) The gut microbiome in Alzheimer's disease: what we know and what remains to be explored. Mol Neurodegener 18:9. https://doi.org/10.1186/s13024-023-00595-7 pmid:36721148
    OpenUrlCrossRefPubMed
  13. ↵
    1. Chen G,
    2. Zhou X,
    3. Zhu Y,
    4. Shi W,
    5. Kong L
    (2023) Gut microbiome characteristics in subjective cognitive decline, mild cognitive impairment and Alzheimer's disease: a systematic review and meta-analysis. Eur J Neurol 30:3568–3580. https://doi.org/10.1111/ene.15961
    OpenUrl
  14. ↵
    1. Dilmore AH, et al.
    (2023) Effects of a ketogenic and low-fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer's disease. Alzheimers Dement 19:4805–4816. https://doi.org/10.1002/alz.13007 pmid:37017243
    OpenUrlPubMed
  15. ↵
    1. Dodiya HB, et al.
    (2019) Sex-specific effects of microbiome perturbations on cerebral Abeta amyloidosis and microglia phenotypes. J Exp Med 216:1542–1560. https://doi.org/10.1084/jem.20182386 pmid:31097468
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Dunham SJB, et al.
    (2024) Sex-specific associations between AD genotype and the microbiome of human amyloid beta knock-in (hAbeta-KI) mice. Alzheimers Dement 20:4935–4950. https://doi.org/10.1002/alz.13794 pmid:38572865
    OpenUrlPubMed
  17. ↵
    1. Dunham SJB,
    2. McNair KA,
    3. Adams ED,
    4. Avelar-Barragan J,
    5. Forner S,
    6. Mapstone M,
    7. Whiteson KL
    (2022) Longitudinal analysis of the microbiome and metabolome in the 5xfAD mouse model of Alzheimer's disease. mBio 13:e0179422. https://doi.org/10.1128/mbio.01794-22 pmid:36468884
    OpenUrlPubMed
  18. ↵
    1. El-Merahbi R,
    2. Loffler M,
    3. Mayer A,
    4. Sumara G
    (2015) The roles of peripheral serotonin in metabolic homeostasis. FEBS Lett 589:1728–1734. https://doi.org/10.1016/j.febslet.2015.05.054
    OpenUrlCrossRefPubMed
  19. ↵
    1. Ericsson AC,
    2. Franklin CL
    (2021) The gut microbiome of laboratory mice: considerations and best practices for translational research. Mamm Genome 32:239–250. https://doi.org/10.1007/s00335-021-09863-7 pmid:33689000
    OpenUrlCrossRefPubMed
  20. ↵
    1. Ericsson AC,
    2. Gagliardi J,
    3. Bouhan D,
    4. Spollen WG,
    5. Givan SA,
    6. Franklin CL
    (2018) The influence of caging, bedding, and diet on the composition of the microbiota in different regions of the mouse gut. Sci Rep 8:4065. https://doi.org/10.1038/s41598-018-21986-7 pmid:29511208
    OpenUrlCrossRefPubMed
  21. ↵
    1. Erny D, et al.
    (2015) Host microbiota constantly control maturation and function of microglia in the CNS. Nat Neurosci 18:965–977. https://doi.org/10.1038/nn.4030 pmid:26030851
    OpenUrlCrossRefPubMed
  22. ↵
    1. Erny D, et al.
    (2021) Microbiota-derived acetate enables the metabolic fitness of the brain innate immune system during health and disease. Cell Metab 33:2260–2276.e7. https://doi.org/10.1016/j.cmet.2021.10.010
    OpenUrlCrossRef
  23. ↵
    1. Figueroa-Romero C, et al.
    (2019) Temporal evolution of the microbiome, immune system and epigenome with disease progression in ALS mice. Dis Model Mech 13:dmm041947. https://doi.org/10.1242/dmm.041947 pmid:31597644
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Fung TC, et al.
    (2019) Intestinal serotonin and fluoxetine exposure modulate bacterial colonization in the gut. Nat Microbiol 4:2064–2073. https://doi.org/10.1038/s41564-019-0540-4 pmid:31477894
    OpenUrlPubMed
  25. ↵
    1. Gebara E,
    2. Udry F,
    3. Sultan S,
    4. Toni N
    (2015) Taurine increases hippocampal neurogenesis in aging mice. Stem Cell Res 14:369–379. https://doi.org/10.1016/j.scr.2015.04.001
    OpenUrl
  26. ↵
    1. Ghezzi L,
    2. Cantoni C,
    3. Rotondo E,
    4. Galimberti D
    (2022) The gut microbiome-brain crosstalk in neurodegenerative diseases. Biomedicines 10:1–17. https://doi.org/10.3390/biomedicines10071486 pmid:35884791
    OpenUrlPubMed
  27. ↵
    1. Goncalves S,
    2. Nunes-Costa D,
    3. Cardoso SM,
    4. Empadinhas N,
    5. Marugg JD
    (2022) Enzyme promiscuity in serotonin biosynthesis, from bacteria to plants and humans. Front Microbiol 13:873555. https://doi.org/10.3389/fmicb.2022.873555 pmid:35495641
    OpenUrlCrossRefPubMed
  28. ↵
    1. Grabrucker S, et al.
    (2023) Microbiota from Alzheimer's patients induce deficits in cognition and hippocampal neurogenesis. Brain 146:4916–4934. https://doi.org/10.1093/brain/awad303 pmid:37849234
    OpenUrlPubMed
  29. ↵
    1. Grossberg GT,
    2. Kohegyi E,
    3. Mergel V,
    4. Josiassen MK,
    5. Meulien D,
    6. Hobart M,
    7. Slomkowski M,
    8. Baker RA,
    9. McQuade RD,
    10. Cummings JL
    (2020) Efficacy and safety of brexpiprazole for the treatment of agitation in Alzheimer's dementia: two 12-week, randomized, double-blind, placebo-controlled trials. Am J Geriatr Psychiatry 28:383–400. https://doi.org/10.1016/j.jagp.2019.09.009
    OpenUrl
  30. ↵
    1. Guerreiro R, et al.
    (2013) TREM2 variants in Alzheimer's disease. N Engl J Med 368:117–127. https://doi.org/10.1056/NEJMoa1211851 pmid:23150934
    OpenUrlCrossRefPubMed
  31. ↵
    1. Harach T, et al.
    (2017) Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota. Sci Rep 7:41802. https://doi.org/10.1038/srep41802 pmid:28176819
    OpenUrlCrossRefPubMed
  32. ↵
    1. Hazan S
    (2020) Rapid improvement in Alzheimer's disease symptoms following fecal microbiota transplantation: a case report. J Int Med Res 48:300060520925930. https://doi.org/10.1177/0300060520925930 pmid:32600151
    OpenUrlPubMed
  33. ↵
    1. Hernandez-Benitez R,
    2. Ramos-Mandujano G,
    3. Pasantes-Morales H
    (2012) Taurine stimulates proliferation and promotes neurogenesis of mouse adult cultured neural stem/progenitor cells. Stem Cell Res 9:24–34. https://doi.org/10.1016/j.scr.2012.02.004
    OpenUrlPubMed
  34. ↵
    1. Ho L,
    2. Ono K,
    3. Tsuji M,
    4. Mazzola P,
    5. Singh R,
    6. Pasinetti GM
    (2018) Protective roles of intestinal microbiota derived short chain fatty acids in Alzheimer's disease-type beta-amyloid neuropathological mechanisms. Expert Rev Neurother 18:83–90. https://doi.org/10.1080/14737175.2018.1400909 pmid:29095058
    OpenUrlCrossRefPubMed
  35. ↵
    1. Huang Y, et al.
    (2023) The gut microbiome modulates the transformation of microglial subtypes. Mol Psychiatry 28:1611–1621. https://doi.org/10.1038/s41380-023-02017-y pmid:36914812
    OpenUrlPubMed
  36. ↵
    1. Hung CC,
    2. Chang CC,
    3. Huang CW,
    4. Nouchi R,
    5. Cheng CH
    (2022) Gut microbiota in patients with Alzheimer's disease spectrum: a systematic review and meta-analysis. Aging 14:477–496. https://doi.org/10.18632/aging.203826 pmid:35027502
    OpenUrlPubMed
  37. ↵
    1. Jia W,
    2. Rajani C,
    3. Kaddurah-Daouk R,
    4. Li H
    (2020) Expert insights: the potential role of the gut microbiome-bile acid-brain axis in the development and progression of Alzheimer's disease and hepatic encephalopathy. Med Res Rev 40:1496–1507. https://doi.org/10.1002/med.21653
    OpenUrlCrossRef
  38. ↵
    1. Kempermann G,
    2. Song H,
    3. Gage FH
    (2015) Neurogenesis in the adult hippocampus. Cold Spring Harb Perspect Biol 7:a018812. https://doi.org/10.1101/cshperspect.a018812 pmid:26330519
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Kim CS
    (2024) Roles of diet-associated gut microbial metabolites on brain health: cell-to-cell interactions between gut bacteria and the central nervous system. Adv Nutr 15:100136. https://doi.org/10.1016/j.advnut.2023.10.008 pmid:38436218
    OpenUrlPubMed
  40. ↵
    1. Kim N,
    2. Jeon SH,
    3. Ju IG,
    4. Gee MS,
    5. Do J,
    6. Oh MS,
    7. Lee JK
    (2021) Transplantation of gut microbiota derived from Alzheimer's disease mouse model impairs memory function and neurogenesis in C57BL/6 mice. Brain Behav Immun 98:357–365. https://doi.org/10.1016/j.bbi.2021.09.002
    OpenUrlCrossRef
  41. ↵
    1. Kimball BA,
    2. Wilson DA,
    3. Wesson DW
    (2016) Alterations of the volatile metabolome in mouse models of Alzheimer's disease. Sci Rep 6:19495. https://doi.org/10.1038/srep19495 pmid:26762470
    OpenUrlPubMed
  42. ↵
    1. Kling MA, et al.
    (2020) Circulating ethanolamine plasmalogen indices in Alzheimer's disease: relation to diagnosis, cognition, and CSF tau. Alzheimers Dement 16:1234–1247. https://doi.org/10.1002/alz.12110 pmid:32715599
    OpenUrlPubMed
  43. ↵
    1. Kozareva DA,
    2. Cryan JF,
    3. Nolan YM
    (2019) Born this way: hippocampal neurogenesis across the lifespan. Aging Cell 18:e13007. https://doi.org/10.1111/acel.13007 pmid:31298475
    OpenUrlCrossRefPubMed
  44. ↵
    1. Lazarov O,
    2. Gupta M,
    3. Kumar P,
    4. Morrissey Z,
    5. Phan T
    (2024) Memory circuits in dementia: the engram, hippocampal neurogenesis and Alzheimer's disease. Prog Neurobiol 236:102601. https://doi.org/10.1016/j.pneurobio.2024.102601 pmid:38570083
    OpenUrlPubMed
  45. ↵
    1. MahmoudianDehkordi S, et al.
    (2019) Altered bile acid profile associates with cognitive impairment in Alzheimer's disease-an emerging role for gut microbiome. Alzheimers Dement 15:76–92. https://doi.org/10.1016/j.jalz.2018.07.217 pmid:30337151
    OpenUrlCrossRefPubMed
  46. ↵
    1. MahmoudianDehkordi S,
    2. Bhattacharyya S,
    3. Brydges CR,
    4. Jia W,
    5. Fiehn O,
    6. Rush AJ,
    7. Dunlop BW,
    8. Kaddurah-Daouk R
    (2022) Gut microbiome-linked metabolites in the pathobiology of major depression with or without anxiety-a role for bile acids. Front Neurosci 16:937906. https://doi.org/10.3389/fnins.2022.937906
  47. ↵
    1. Marizzoni M, et al.
    (2020) Short-chain fatty acids and lipopolysaccharide as mediators between gut dysbiosis and amyloid pathology in Alzheimer's disease. J Alzheimers Dis 78:683–697. https://doi.org/10.3233/JAD-200306
    OpenUrl
  48. ↵
    1. Maruszak A, et al.
    (2023) Predicting progression to Alzheimer's disease with human hippocampal progenitors exposed to serum. Brain 146:2045–2058. https://doi.org/10.1093/brain/awac472 pmid:36703180
    OpenUrlCrossRefPubMed
  49. ↵
    1. Minter MR, 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 6:30028. https://doi.org/10.1038/srep30028 pmid:27443609
    OpenUrlCrossRefPubMed
  50. ↵
    1. Moreno-Jimenez EP,
    2. Flor-Garcia M,
    3. Terreros-Roncal J,
    4. Rabano A,
    5. Cafini F,
    6. Pallas-Bazarra N,
    7. Avila J,
    8. Llorens-Martin M
    (2019) Adult hippocampal neurogenesis is abundant in neurologically healthy subjects and drops sharply in patients with Alzheimer's disease. Nat Med 25:554–560. https://doi.org/10.1038/s41591-019-0375-9
    OpenUrlPubMed
  51. ↵
    1. Murray ER,
    2. Kemp M,
    3. Nguyen TT
    (2022) The microbiota-gut-brain axis in Alzheimer's disease: a review of taxonomic alterations and potential avenues for interventions. Arch Clin Neuropsychol 37:595–607. https://doi.org/10.1093/arclin/acac008 pmid:35202456
    OpenUrlPubMed
  52. ↵
    1. Nho K, et al.
    (2019) Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: relationship to neuroimaging and CSF biomarkers. Alzheimers Dement 15:232–244. https://doi.org/10.1016/j.jalz.2018.08.012 pmid:30337152
    OpenUrlPubMed
  53. ↵
    1. Nicolas S,
    2. Dohm-Hansen S,
    3. Lavelle A,
    4. Bastiaanssen TFS,
    5. English JA,
    6. Cryan JF,
    7. Nolan YM
    (2024) Exercise mitigates a gut microbiota-mediated reduction in adult hippocampal neurogenesis and associated behaviours in rats. Transl Psychiatry 14:195. https://doi.org/10.1038/s41398-024-02904-0 pmid:38658547
    OpenUrlPubMed
  54. ↵
    1. Ogbonnaya ES,
    2. Clarke G,
    3. Shanahan F,
    4. Dinan TG,
    5. Cryan JF,
    6. O'Leary OF
    (2015) Adult hippocampal neurogenesis is regulated by the microbiome. Biol Psychiatry 78:e7–e9. https://doi.org/10.1016/j.biopsych.2014.12.023
    OpenUrlCrossRefPubMed
  55. ↵
    1. Pandey RS, et al.
    (2024) Metabolomics profiling reveals distinct, sex-specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimers Dement 20:3987–4001. https://doi.org/10.1002/alz.13851 pmid:38676929
    OpenUrlPubMed
  56. ↵
    1. Pardo-Moreno T,
    2. Gonzalez-Acedo A,
    3. Rivas-Dominguez A,
    4. Garcia-Morales V,
    5. Garcia-Cozar FJ,
    6. Ramos-Rodriguez JJ,
    7. Melguizo-Rodriguez L
    (2022) Therapeutic approach to Alzheimer's disease: current treatments and new perspectives. Pharmaceutics 14:1117. https://doi.org/10.3390/pharmaceutics14061117 pmid:35745693
    OpenUrlPubMed
  57. ↵
    1. Parikh IJ,
    2. Estus JL,
    3. Zajac DJ,
    4. Malik M,
    5. Maldonado Weng J,
    6. Tai LM,
    7. Chlipala GE,
    8. LaDu MJ,
    9. Green SJ,
    10. Estus S
    (2020) Murine gut microbiome association with APOE alleles. Front Immunol 11:200. https://doi.org/10.3389/fimmu.2020.00200 pmid:32117315
    OpenUrlCrossRefPubMed
  58. ↵
    1. Pedersen HK, et al.
    (2016) Human gut microbes impact host serum metabolome and insulin sensitivity. Nature 535:376–381. https://doi.org/10.1038/nature18646
    OpenUrlCrossRefPubMed
  59. ↵
    1. Perkovic NM,
    2. Pivac N
    (2019) Genetic markers of Alzheimer's disease. Adv Exp Med Biol 1192:27–52. https://doi.org/10.1007/978-981-32-9721-0_3
    OpenUrlCrossRef
  60. ↵
    1. Rakusa E,
    2. Fink A,
    3. Tamguney G,
    4. Heneka MT,
    5. Doblhammer G
    (2023) Sporadic use of antibiotics in older adults and the risk of dementia: a nested case-control study based on German health claims data. J Alzheimers Dis 93:1329–1339. https://doi.org/10.3233/JAD-221153
    OpenUrl
  61. ↵
    1. Ross FC,
    2. Patangia D,
    3. Grimaud G,
    4. Lavelle A,
    5. Dempsey EM,
    6. Ross RP,
    7. Stanton C
    (2024) The interplay between diet and the gut microbiome: implications for health and disease. Nat Rev Microbiol:1–16. https://doi.org/10.1038/s41579-024-01068-4
  62. ↵
    1. Rosshart SP, et al.
    (2019) Laboratory mice born to wild mice have natural microbiota and model human immune responses. Science 365:eaaw4361. https://doi.org/10.1126/science.aaw4361 pmid:31371577
    OpenUrlAbstract/FREE Full Text
  63. ↵
    1. Russell A,
    2. Copio JN,
    3. Shi Y,
    4. Kang S,
    5. Franklin CL,
    6. Ericsson AC
    (2022) Reduced housing density improves statistical power of murine gut microbiota studies. Cell Rep 39:110783. https://doi.org/10.1016/j.celrep.2022.110783 pmid:35545042
    OpenUrlPubMed
  64. ↵
    1. Saha P, et al.
    (2024) Early modulation of the gut microbiome by female sex hormones alters amyloid pathology and microglial function. Sci Rep 14:1827. https://doi.org/10.1038/s41598-024-52246-6 pmid:38246956
    OpenUrlPubMed
  65. ↵
    1. Salta E,
    2. Lazarov O,
    3. Fitzsimons CP,
    4. Tanzi R,
    5. Lucassen PJ,
    6. Choi SH
    (2023) Adult hippocampal neurogenesis in Alzheimer's disease: a roadmap to clinical relevance. Cell Stem Cell 30:120–136. https://doi.org/10.1016/j.stem.2023.01.002 pmid:36736288
    OpenUrlCrossRefPubMed
  66. ↵
    1. Schroeder BO,
    2. Backhed F
    (2016) Signals from the gut microbiota to distant organs in physiology and disease. Nat Med 22:1079–1089. https://doi.org/10.1038/nm.4185
    OpenUrlCrossRefPubMed
  67. ↵
    1. Schweickart A, et al.
    (2023) A modified mediterranean ketogenic diet mitigates modifiable risk factors of Alzheimer's Disease: a serum and CSF-based metabolic analysis. medRxiv. Nov 27:2023.11.27.23298990. https://doi.org/10.1101/2023.11.27.23298990 pmid:38076824
  68. ↵
    1. Seo DO, et al.
    (2023) Apoe isoform- and microbiota-dependent progression of neurodegeneration in a mouse model of tauopathy. Science 379:eadd1236. https://doi.org/10.1126/science.add1236 pmid:36634180
    OpenUrlCrossRefPubMed
  69. ↵
    1. Seo DO,
    2. Holtzman DM
    (2024) Current understanding of the Alzheimer's disease-associated microbiome and therapeutic strategies. Exp Mol Med 56:86–94. https://doi.org/10.1038/s12276-023-01146-2 pmid:38172602
    OpenUrlCrossRefPubMed
  70. ↵
    1. Servick K
    (2016) Of mice and microbes. Science 353:741–743. https://doi.org/10.1126/science.353.6301.741
    OpenUrlAbstract/FREE Full Text
  71. ↵
    1. Sexton CE, et al.
    (2024) Novel avenues of tau research. Alzheimers Dement 20:2240–2261. https://doi.org/10.1002/alz.13533 pmid:38170841
    OpenUrlPubMed
  72. ↵
    1. Sheng C,
    2. Lin L,
    3. Lin H,
    4. Wang X,
    5. Han Y,
    6. Liu SL
    (2021) Altered gut microbiota in adults with subjective cognitive decline: the SILCODE study. J Alzheimers Dis 82:513–526. https://doi.org/10.3233/JAD-210259
    OpenUrl
  73. ↵
    1. Shi Y, et al.
    (2017) Apoe4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy. Nature 549:523–527. https://doi.org/10.1038/nature24016 pmid:28959956
    OpenUrlCrossRefPubMed
  74. ↵
    1. Shi Y,
    2. Holtzman DM
    (2018) Interplay between innate immunity and Alzheimer disease: APOE and TREM2 in the spotlight. Nat Rev Immunol 18:759–772. https://doi.org/10.1038/s41577-018-0051-1 pmid:30140051
    OpenUrlCrossRefPubMed
  75. ↵
    1. Shi Y,
    2. Manis M,
    3. Long J,
    4. Wang K,
    5. Sullivan PM,
    6. Remolina Serrano J,
    7. Hoyle R,
    8. Holtzman DM
    (2019) Microglia drive APOE-dependent neurodegeneration in a tauopathy mouse model. J Exp Med 216:2546–2561. https://doi.org/10.1084/jem.20190980 pmid:31601677
    OpenUrlAbstract/FREE Full Text
  76. ↵
    1. Smith GS, et al.
    (2023a) Serotonin degeneration and amyloid-beta deposition in mild cognitive impairment: relationship to cognitive deficits. J Alzheimers Dis 96:215–227. https://doi.org/10.3233/JAD-230570
    OpenUrl
  77. ↵
    1. Smith GS, et al.
    (2023b) Molecular imaging of the association between serotonin degeneration and beta-amyloid deposition in mild cognitive impairment. Neuroimage Clin 37:103322. https://doi.org/10.1016/j.nicl.2023.103322 pmid:36680976
    OpenUrlPubMed
  78. ↵
    1. Song SJ, et al.
    (2013) Cohabiting family members share microbiota with one another and with their dogs. Elife 2:e00458. https://doi.org/10.7554/eLife.00458 pmid:23599893
    OpenUrlCrossRefPubMed
  79. ↵
    1. Spichak S,
    2. Donoso F,
    3. Moloney GM,
    4. Gunnigle E,
    5. Brown JM,
    6. Codagnone M,
    7. Dinan TG,
    8. Cryan JF
    (2021) Microbially-derived short-chain fatty acids impact astrocyte gene expression in a sex-specific manner. Brain Behav Immun Health 16:100318. https://doi.org/10.1016/j.bbih.2021.100318 pmid:34589808
    OpenUrlPubMed
  80. ↵
    1. Tamiz AP,
    2. Koroshetz WJ,
    3. Dhruv NT,
    4. Jett DA
    (2022) A focus on the neural exposome. Neuron 110:1286–1289. https://doi.org/10.1016/j.neuron.2022.03.019
    OpenUrl
  81. ↵
    1. Thion MS, et al.
    (2018) Microbiome influences prenatal and adult microglia in a sex-specific manner. Cell 172:500–516.e16. https://doi.org/10.1016/j.cell.2017.11.042 pmid:29275859
    OpenUrlCrossRefPubMed
  82. ↵
    1. Tobin MK, et al.
    (2019) Human hippocampal neurogenesis persists in aged adults and Alzheimer's disease patients. Cell Stem Cell 24:974–982.e3. https://doi.org/10.1016/j.stem.2019.05.003 pmid:31130513
    OpenUrlCrossRefPubMed
  83. ↵
    1. Toledo JB, et al.
    (2017) Metabolic network failures in Alzheimer's disease: a biochemical road map. Alzheimers Dement 13:965–984.
  84. ↵
    1. Tran TTT, et al.
    (2019) APOE genotype influences the gut microbiome structure and function in humans and mice: relevance for Alzheimer's disease pathophysiology. FASEB J 33:8221–8231. https://doi.org/10.1096/fj.201900071R pmid:30958695
    OpenUrlCrossRefPubMed
  85. ↵
    1. Vogt NM, et al.
    (2017) Gut microbiome alterations in Alzheimer's disease. Sci Rep 7:13537. https://doi.org/10.1038/s41598-017-13601-y pmid:29051531
    OpenUrlCrossRefPubMed
  86. ↵
    1. Wang X, 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. https://doi.org/10.1038/s41422-019-0216-x pmid:31488882
    OpenUrlCrossRefPubMed
  87. ↵
    1. Wishart DS, et al.
    (2023) MiMeDB: the human microbial metabolome database. Nucleic Acids Res 51:D611–D620. https://doi.org/10.1093/nar/gkac868 pmid:36215042
    OpenUrlPubMed
  88. ↵
    1. Wong W
    (2020) Economic burden of Alzheimer disease and managed care considerations. Am J Manag Care 26:S177–S183. https://doi.org/10.37765/ajmc.2020.42835
    OpenUrlCrossRefPubMed
  89. ↵
    1. Ye Y,
    2. Tong HYK,
    3. Chong WH,
    4. Li Z,
    5. Tam PKH,
    6. Baptista-Hon DT,
    7. Monteiro O
    (2024) A systematic review and meta-analysis of the effects of long-term antibiotic use on cognitive outcomes. Sci Rep 14:4026. https://doi.org/10.1038/s41598-024-54553-4 pmid:38369574
    OpenUrlPubMed
  90. ↵
    1. Yoo BB,
    2. Mazmanian SK
    (2017) The enteric network: interactions between the immune and nervous systems of the gut. Immunity 46:910–926. https://doi.org/10.1016/j.immuni.2017.05.011 pmid:28636959
    OpenUrlPubMed
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The Journal of Neuroscience: 44 (41)
Journal of Neuroscience
Vol. 44, Issue 41
9 Oct 2024
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Symposium: What Does the Microbiome Tell Us about Prevention and Treatment of AD/ADRD?
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Symposium: What Does the Microbiome Tell Us about Prevention and Treatment of AD/ADRD?
Joia K. Capocchi, Claudia Figueroa-Romero, Sage J. B. Dunham, Gina Faraci, Jason A. Rothman, Katrine L. Whiteson, Dong-oh Seo, David M. Holtzman, Stefanie Grabrucker, Yvonne M. Nolan, Rima Kaddurah-Daouk, David A. Jett
Journal of Neuroscience 9 October 2024, 44 (41) e1295242024; DOI: 10.1523/JNEUROSCI.1295-24.2024

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Symposium: What Does the Microbiome Tell Us about Prevention and Treatment of AD/ADRD?
Joia K. Capocchi, Claudia Figueroa-Romero, Sage J. B. Dunham, Gina Faraci, Jason A. Rothman, Katrine L. Whiteson, Dong-oh Seo, David M. Holtzman, Stefanie Grabrucker, Yvonne M. Nolan, Rima Kaddurah-Daouk, David A. Jett
Journal of Neuroscience 9 October 2024, 44 (41) e1295242024; DOI: 10.1523/JNEUROSCI.1295-24.2024
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    • Abstract
    • Introduction
    • The Microbiome and Neurodegeneration
    • Experimental Considerations
    • Microbiome-Based Interventions for AD/ADRD
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