What this is
- This review evaluates the relationship between () alterations and Alzheimer's disease (AD), alongside ().
- It discusses how may contribute to dysbiosis, potentially influencing AD pathogenesis.
- The review synthesizes findings from clinical and animal studies, highlighting commonalities and differences in alterations across conditions.
Essence
- may lead to dysbiosis, which could influence the onset and progression of Alzheimer's disease. The review identifies overlapping changes in AD and , suggesting a complex interplay between these factors.
Key takeaways
- is linked to dysbiosis, characterized by increased pathobionts and decreased beneficial bacteria. This dysbiosis may impair gut barrier integrity and promote neuroinflammation, contributing to AD.
- Alterations in composition, including increased pro-inflammatory taxa and decreased anti-inflammatory taxa, have been observed in AD patients. These changes may correlate with cognitive decline and disease progression.
- The review emphasizes the need for standardized methodologies in future studies to clarify the role of in AD and , as current findings are often inconsistent due to methodological variability.
Caveats
- Most studies reviewed are observational, limiting the ability to draw causal conclusions between alterations and AD. Further research is needed to establish direct links.
- Variability in methodologies across studies complicates comparisons and may obscure true associations between changes and clinical outcomes in AD and .
Definitions
- gut microbiota (GM): The collection of microorganisms residing in the human digestive tract, which interacts with the host and plays a significant role in health and disease.
- sleep and circadian rhythm disruption (SCRD): Disruptions in normal sleep patterns and biological rhythms that can affect various physiological processes, including metabolism and immune function.
AI simplified
Introduction
Alzheimer’s disease (AD) is a degenerative central nervous system (CNS) disorder, characterized by a progressive onset of neurocognitive symptoms, including amnesia, aphasia, disorientation, etc.1 While the etiology of AD remains largely unknown, AD is generally featured by the deposition of β-amyloid (Aβ) and the formation of neurofibrillary tangles of tau protein in CNS.
The human body harbors a large variety of microorganism communities which intensively interact with host and each other through direct contacts or metabolites.2 It has long been postulated that human gut microbiota (GM), the collection of all microorganism communities in the human digestive tract, holds great significance to human health and disease.3,4 However, not until recently have we been able to investigate their composition and function with the advances in DNA sequencing and metagenomic analysis techniques.5 Moreover, brain-gut-axis (BGA), which studies the interactions between GM and CNS, has gained significant attention in recent years. There is much evidence showing altered GM composition in several neurological diseases, including Parkinson’s disease (PD) and autism spectrum disorder (ASD).6–8 Changes in GM composition and richness have also been observed in AD patients and individuals with mild cognitive impairment (MCI),9,10 suggesting a potential role of GM dysbiosis in AD pathogenesis.
Several neurodegenerative diseases including AD, PD and Huntington disease (HD) have been implicated with sleep disturbance and circadian rhythm dysfunction.11 While sleep and circadian rhythm disruption (SCRD) are usually recognized as the consequences of these diseases, studies have reported the existence of sleep disorders long before the onset of AD and PD, even by decades.12–15 Moreover, growing evidence indicates that sleep disturbance and circadian rhythm misalignment may contribute to neuroinflammation, low Aβ clearance efficacy, increased concentration of reactive oxygen species (ROS), compromised blood-brain-barrier (BBB) and GM dysbiosis.16–18 However, the present work revealed the correlation between SCRD and AD, but not causality, and further work is needed to resolve this issue.
A hypothetical model of linking SCRD, GM and AD pathogenesis. SCRD caused by sleep disorders or working night shift impairs brain functions in many ways, one of which acts through GM. SCRD leads to GM dysbiosis, with increase in pathobionts and decrease in beneficial bacteria. In the bottom of the figure, blue color represents symbionts such as beneficial bacteria, while red color represents pathobionts. Integrated gut barrier and BBB normally block pathogens such as bacteria metabolites from entering the brain. However, GM dysbiosis caused by SCRD disrupt gut barrier and BBB by degrading mucin and releasing proinflammatory agents and neurotoxic metabolites. These pathological changes can cause aberrant neuroinflammation, and subsequently lead to Aβ deposition and AD onset
GM and AD
The role of microorganisms in the pathogenesis of AD was initially proposed by Alois Alzheimer, the first describer of this progressive neurodegenerative disorder.22 After decades of insufficient research, there has been a resurgence of interests in this hypothesis, largely owing to a growing body of evidence from clinical and animal tests. Several kinds of infectious agents such as bacteria, fungi, virus and protozoa that are highly associated with AD have been reviewed elsewhere.1,23–25 In this part, we focus on GM alterations, probiotic and antibiotic treatments, and fecal microbiota transplantation (FMT) in both AD patients and models.
GM alterations in AD: from clinical and animal literature
The pro-inflammatory taxa Escherichia and Shigella of Enterobacteriaceae have long been proposed to contribute to series of gastrointestinal diseases.10 Increased level of E. coli LPS has also been detected in the postmortem brain samples of AD patients.40 The exotoxin of Escherichia and Shigella could disrupt the integrity of epithelial cell further leading to leaky gut and facilitates the translocation of bacteria into the blood.41E. coli along with several gram-negative bacteria possess systems for producing bacterial Aβ which is able to penetrate intestinal barrier and BBB and initiate cross-seeding in the CNS.42,43 In addition to Escherichia, bacterial Aβ producing systems have also been found in Staphylococcus, highlighting its potential role in contributing to AD pathogenesis.44 Although Staphylococcus was not detected in human fecal sample, its higher abundance was found in the blood of AD patients.9 Studies have reported that strains of Ruminococcus gnavus which belong to the family Lachnospiraceae use terminal mucin glycans to degrade mucus layer of intestinal barrier.45 Increased level of Ruminococcus gnavus has been associated with inflammatory bowel disease, suggesting the potential role of Ruminococcus gnavus in promoting inflammation.46
The two families Ruminococcaceae and Clostridiaceae, major SCFA-producing taxa in mammalian GM, have been reported to be decreased in various metabolic and neurodegenerative diseases.47 The relative abundance of Ruminococcaceae was found to be positively correlated with higher Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores, which indicates better cognitive functions.10 Lower level of anti-inflammatory taxa Eubacterium rectale and Bacteroides fragilis along with increased pro-inflammatory cytokines such as IL-1β, NLRP3 and CXCL2 have been also detected in AD patients.28Lactobacillus and Bifidobacterium are two common probiotic taxa capable of producing neurotransmitter gamma-amino butyrate (GABA) whose metabolism has been reported to be disrupted in AD patients.48Lactobacillus and Bifidobacterium play an important role in protecting intestinal cells and inducing anti-inflammatory responses.49,50 Studies have shown that probiotic treatment using strains of Lactobacillus and Bifidobacterium was able to ameliorate symptoms associated with AD.51,52
A diagram showing GM compositional changes in AD studies. Increased pro-inflammatory taxa like Erysiopelotrichaceae and Enterobacteriaceae were observed in both AD patients and AD animal models.andof Enterobacteriaceae, which have long been proposed to contribute to series of gastrointestinal diseases, could disrupt the integrity of epithelial cell and lead to leaky gut. Anti-inflammatoryand SCFA-producingwere decreased in AD. Two probiotic taxaandhave been proven to restore cognitive function and ameliorate Aβ pathology in AD animals Escherichia Shigella Eubacterium Ruminococcus Lactobacillus Bifidobacterium
| Reference | Participant/animal model | GM profiling method | Higher or lower bacterial taxa in AD patients/AD animal models | Other major findings | |
|---|---|---|---|---|---|
| Human study | |||||
| 26 | 43 AD patients and 43 age- and gender-matched HCLocation: China | 16S rRNA gene seqV3-V4 region | ↑ | Family: Enterococcaceae, Lactobacillaceae | |
| Genus:Subdoligranulum | |||||
| Species:Ruminococcus gnavus | |||||
| ↓ | Family: Lachnospiraceae, Bacteroidaceae, Veillonellaceae | ||||
| Genus:Lachnoclostridium, Bacteriodes | |||||
| 9 | 30 AD patients, 30 MCI patients, and 30 age- and gender-matched HCLocation: China | 16S rRNA gene seqV3-V4 region | ↑ | Family: Lachnospiraceae, Streptococcaceae, Erysiopelotrichaceae, Coriobacteriaceae, Lactobacillaceae, Bifidobacteriaceae | - Similar alteration of gut and blood microbiota in AD and MCI- Increased blood, andin AD and MCI vs. HC-, andas risk factors for ADStaphylococcus, PseudomonasEscherichiaDorea, BlautiaEscherichia |
| Genus:Akkermansia, Blautia, Dorea, Eggerthella, Streptococcus, Bifidobacterium, Lactobacillus | |||||
| ↓ | Family: Alcaligenaceae, Bacteroidaceae, Porphyromonadaceae, Pasteurellaceae, Rikenellaceae | ||||
| Genus:Alistipes, Bacteroides, Butyricimonas, Haemophilus, Parabacteroides | |||||
| 10 | 33 AD patients, 32 aMCI patients, and 32 age- and gender-matched HCLocation: China | 16S rRNA gene seqV3-V4 region | ↑ | Family: Enterobacteriaceae, Veillonellaceae | - Progressive enrichment of Enterobacteriaceae distinguishes AD from aMCI and HC- Elevated bacterial secretion system and LPS biosynthesis |
| ↓ | Family: Clostridiaceae, Lachnospiraceae, Ruminococcaceae | ||||
| Genus:Blautia, Ruminococcus | |||||
| 27 | 25 AD patients and 25 age- and gender-matched HCLocation: USA | 16S rRNA gene seqV4 region | ↑ | Family: Bacteroidaceae, Rikenellaceae, Gemellaceae | |
| Genus:Blautia, Bacteroides, Alistipes, Bilophila, Gemella, Phascolarctobacterium | |||||
| ↓ | Family: Ruminococcaceae, Bifidobacteriaceae, Clostridiaceae, Peptostreptococcaceae, Mogibacteriaceae, Turicibacteraceae | ||||
| Genus:Bifidobacterium, Dialister, Clostridium, Turicibacter, Adlercreutzia | |||||
| 28 | 40 Amy+ patients, 33 Amy- patients, and 10 HCLocation: Italy | Microbial DNA qPCR Assay Kit | Amy+. HCvs | - Escherichia and Shigella correlate with pro-inflammatory IL-1β, NLRP3 and CXCL2- Eubacterium rectale correlates with anti-inflammatory IL-10 | |
| ↑ | Genus:Escherichia, Shigella | ||||
| ↓ | Species:Eubacterium rectale, Bacteroides fragilis | ||||
| Animal study | |||||
| 29 | Female APP/PS1 miceControl: female WT miceAge: 3, 6 and 24 months | 16S rRNA gene seqV1-V3 region | ↑ | Family: Erysipelotrichaceae | - Progressive GM shift in AD mice at 3 months |
| Genus:Sutterella | |||||
| ↓ | Family: Rikenellaceae | ||||
| Genus:Ruminococcus, Oscillospira | |||||
| 30 | Male SAMP8 miceControl: male SAMR1 miceAge: 6 months | 16S rRNA gene seqV3-V4 region | ↑ | Genus:Alistipes, Akkermansia, norank_f__Lachnospiraceae, Odoribacter, Streptococcus, Rikenella, Butyricicoccus | - Altered GM structure with decreased fermentation capacity- Dysregulated lipid, carbon and pyruvate metabolism |
| ↓ | Genus:,Prevotella, Parasutterella, Butyrivibrio, Eubacterium, Ruminococcus, norank_f__S24_7 | ||||
| 31 | Male APP/PS1 miceControl: male WT miceAge: 6 months | 16S rRNA gene seqV3-V4 region | ↑ | Family: Verrucomicrobiaceae, Desulfovibrionaceae, Staphylococcaceae, Corynebacteriaceae | - Alleviated AD pathology in AD mice after FMT from WT mice- Increased level of butyrate in FMT-treated AD mice |
| Genus:,Akkermansia, Staphylococcus, Desulfovibrio, unclassified_f__Erysiopelotrichaceae | |||||
| ↓ | Family: S24_7, Prevotellaceae, Enterococcaceae | ||||
| Genus:Faecalibaculum, Ruminococcaceae UCG-01, Alloprevotella, Enterococcus | |||||
| 32 | Male SAMP8 miceControl: male SAMR1 miceAge: 7 months | 16S rRNA gene seqV3-V5 region | ↑ | Genus:uncultured Bacteroidales bacterium | - Decreased spatial learning and memory function in WT pseudo GF mice after FMT from AD mice |
| ↓ | Family: Clostridiales vadinBB60 group, Family XIII, Christensenellaceae, Ruminococcaceae, Desulfovibrionaceae, Deferribacteraceae | ||||
| Genus:Mucispirillum, Serratia, Subdoligranulum, Ruminiclostridium, Coprococcus, Oscillibacter | |||||
| 33 | Male APP/PS1 miceControl: male WT miceAge: 1, 3, 5–6, 8–12 months | 16S rRNA gene seqV3-V4 region | ↑ | Family: Erysiopelotrichaceae, Verrucomicrobiaceae | - Lower level of SCFAs in feces and brain of AD mice- Disrupted intestinal structure |
| Species:Desulfovibrio C21_c20 | |||||
| ↓ | Genus:Ruminococcus, Butyricicoccus | ||||
| Species:Butyricicoccus pullicaecorum | |||||
| 34 | Male APP/PS1 miceControl: male WT miceAge: 3, 6 and 8 months | 16S rRNA gene seqV3-V4 region | ↑ | Family: Helicobacteraceae, Desulfovibrionaceae, Coriobacteriaceae | - Impaired spatial learning and increased Aβ burden in AD mice |
| Genus:Odoribacter, Helicobacter | |||||
| ↓ | Genus:Prevotella, Ruminococcus | ||||
| 36 | Male/female APP/PS1 miceControl: male and female WT miceAge: 8 months | 16S rRNA gene seqV3-V4 region | ↑ | Family: Enterobacteriaceae, Staphylococcaceae, Lachnospiraceae, Rikenellaceae | - More severe Aβ pathology induced by FMT from AD mice |
| Genus:Staphylococcus | |||||
| ↓ | Family: Bifidobacteriaceae, Coriobacteriaceae, Bacteroidaceae, Prevotellaceae, Turicibacteraceae, Akkermansiaceae | ||||
| Genus:Bifidobacterium, Prevotella, Turicibacter, Desulfovibrio, Akkermansia | |||||
| 35 | Female ADLPmiceControl: female WT miceAge: 8 monthsAPT | 16S rRNA gene seq | ↑ | Family: Prevotellaceae, Rikenellaceae | - Damaged gut barrier and chronic inflammation- Attenuated cognitive impairment and Aβ burden in AD mice after FMT from WT mice |
| Genus:Prevotella, Paraprevotella | |||||
| ↓ | Family: Lactobacillaceae, Turicibacteraceae, Desulfovibrionaceae, S24-7 | ||||
| Genus:Lactobacillus, Turicibacter, Desulfovibrio | |||||
| Reference | Participant/animal model | Treatment | Main findings (Exp. Con)vs |
|---|---|---|---|
| Probiotic supplement | |||
| 51 | AD patientsExp: AD patients + probiotic milkCon: AD patients + normal milk | Duration: 12 weeksProbiotic milk contained, andLactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidumLactobacillus fermentum | - ↑ cognitive function- ↑ insulin and lipid metabolism |
| 54 | AD patientsExp: data after taking Omnibiotic Stress RepairCon: baseline data before probiotic treatment | Duration: 4 weeksOmnibiotic Stress Repair contained 9 strains from, andLactococcus, LactobacillusBifidobacterium | - ↑- ↑ tryptophan metabolism and serum kynurenineFaecalibacterium prausnitzii |
| 55 | Female AppmiceExp: AD mice + VSL#3Con: AD mice + vehicle (water)NL-G-F | Duration: 8 weeksVSL#3 contained 8 strains of lactic acid-producing bacteria | - ↓ intestinal inflammation and gut permeability |
| 52 | Male 3xTg-AD miceExp: AD mice + SLAB51Con: AD mice + vehicle (water) | Duration: 4 monthsSLAB51 contained 9 live probiotic strains | - ↓ cognitive impairment and brain damage- ↓ pro-inflammatory cytokines- ↓ Aβ deposition in brain |
| 56 | Male ddY mice + intra-hippocampal Aβ injectionExp: AD mice + probiotic supplement/acetateCon: AD mice + vehicle (water) | Duration: starting 2 days before Aβ injectionProbiotic supplement: living, heat-killed or fragmentedA1Bifidobacterium breve | - ↓ cognitive impairment- Altered gene expression in hippocampus- ↑ plasma acetate byA1- Partially attenuated behavioral deficit by non-viableA1 and acetateB. breveB. breve |
| 57 | Male Wistar rats + intra-hippocampal Aβ injectionExp: AD rats + probiotic supplementCon: AD rats + vehicle (water) | Duration: 8 weeksProbiotic supplement:, andLactobacillus acidophilus, Lactobacillus fermentum, Bifidobacterium lactisBifidobacterium longum | - ↑ spatial memory- ↓ Aβ deposition in brain- ↓ oxidative stress response |
| 58 | Male Sprague-Dawley ratsExp: (1) rats + antibiotic, (2) rats + antibiotic + probioticCon: rats + vehicle (water) | Duration: 41 daysAntibiotic: ampicillinProbiotic:NS9Lactobacillus fermentum | - Disrupted GM in (1) and normalized GM in (2)- ↓ colon inflammation in (2). (1)- ↑ spatial memory in (2). (1)vsvs |
| Antibiotic treatment | |||
| 59 | Male APP/PS1 miceExp: AD mice + ABX treatmentCon: AD mice + vehicle (water) | Duration: post-natal day 14 to day 21ABX contained 9 antibiotics | - Altered GM composition- ↓ Aβ deposition in the brain- ↓ glial reactivity at Aβ plaque- ↓ neuroinflammation |
| 60 | Male APP/PS1 miceExp: AD mice + ABX treatmentCon: AD mice + vehicle (water) | Duration: lifespanABX contained 9 antibiotics | - Altered GM composition- ↓ Aβ deposition in the brain- ↓ neuroinflammation and reactive gliosis at Aβ |
| 61 | 5xFAD miceExp: AD mice + ABX treatmentCon: AD mice + vehicle (water) | Duration: 5 monthsABX contained ampicillin, streptomycin and colistin | - ↓ GM abundance- ↓ infiltration of pro-inflammatory Th1 cells and M1 cells into the brain |
| 62 | APPPS1-21 miceExp: (1) male + ABX, (2) female + ABXCon: male/female + vehicle (water) | Duration: lifespanABX contained kanamycin, gentamicin, colistin, metronidazole and vancomycin | - Sex-specific gut microbiota alteration- (1): ↑ anti-inflammatory cytokines, ↓ Aβ, and ↓ phagocytic microglial at Aβ- (2): ↑ pro-inflammatory cytokines, no change of Aβ deposition, and ↑ phagocytic microglial at Aβ |
| 63 | Male 5xFAD miceExp: AD mice + ABX treatmentCon: AD mice + vehicle (water) | Duration: 2 monthsABX contained vancomycin, cefoxitin, gentamicin, and metronidazol | - ↑ ceca size and weight- ↓ level of hippocampal Aβ- ↑ cognitive function |
| 64 | Male APPPS1-21 miceExp: (1) AD mice + ABX, (2) AD mice + individual ABXCon: AD mice + vehicle (water) | Duration: lifespanABX contained kanamycin, gentamicin, colistin, metronidazole, and vancomycin | - ↑ ceca size and altered GM composition- ↓ Aβ deposition only in (1) |
| Germ-free animal | |||
| 36 | APP/PS1 miceExp: GF AD miceCon: conventionally raised AD mice | GF mice: embryos were washed with Invitrogen and transferred to GF pseudo-pregnant mice | - ↓ Aβ level and Aβ deposition- ↓ neuroinflammation- ↑ Aβ-degrading enzyme |
| 65 | Female APP/PS1 miceExp: (1) SPF AD mice, (2) GF AD miceCon: (3) SPF WT mice, (4) GF WT mice | - Altered GM composition in (1). (3)- ↓ cognitive function in (1)(2). WT- ↑ Aβ and neuroinflammation in (1). (2) and (3)- ↑ MAPK signaling pathway in (1). (2) and (3)vsvsvsvs | |
| 63 | Male 5xFAD miceExp: GF AD miceCon: SPF AD mice | GF mice were generated through embryo transfer | - ↑ ceca size and weight- ↓ Aβ and neuroinflammation- ↑ cognitive function- ↑ Aβ uptake by microglial |
| FMT and co-housing | |||
| 35 | Female ADLPmiceExp: AD mice + WT FMTCon: AD mice + vehicle (water)APT | Duration: 16 weeksFMT: oral gavage | - ↓ cognitive impairment- ↓ Aβ, tau pathology, and glial activity- ↓ expression of inflammation-related genes |
| 36 | GF APP/PS1 miceExp: (1) GF AD mice + AD FMT, (2) GF AD mice + WT FMTCon: GF AD mice + vehicle (water) | FMT: oral gavage | - ↑ overall Aβ level in (1) and (2)- Higher level of increased brain Aβ42 in (1). (2)vs |
| 61 | WT miceExp: WT mice co-housed with AD miceCon: WT mice separately housed with AD mice | Duration: 7 months | - ↓ discriminating learning- Similar GM and cytokine expression to AD mice- ↑ infiltrating Th1 cells into brain |
| 61 | (1) WT mice + Aβ injection + AD FMT(2) AD mice + WT FMT(3) WT mice + Aβ injection + GV-971-treated AD FMT | FMT: oral gavage | - (1) ↑ Th1 cells and ↓ Th2 cells in brain- (2) ↓ Th1 cells in brain- (3) ↓ Th1 cells in brain |
| 31 | Male APP/PS1 miceExp: AD mice + WT FMTCon: AD mice + vehicle (water) | FMT: oral gavage | - ↓ neuroinflammation- ↓ Aβ deposition and tau phosphorylation- ↓ GM dysbiosis and cognitive deficits |
| 32 | Male pseudo GF WT miceExp: (1) GF mice + SAMP8 FMT, (2) GF mice + SAMP1 FMTCon: GF WT mice + vehicle (water) | Duration: 14 daysFMT: oral gavage | - ↓ cognitive function in pseudo GF mice- Restored GM composition in (2) not (1)- ↑ cognitive function in (2) not (1) |
| 62 | ABX-treated male APPPS1-21 miceExp: ABX-treated AD mice + AD FMTCon: ABX-treated AD mice + vehicle (water) | Duration: lifespanFMT: oral gavage | - ↑ Aβ plaque burden- GM profile similar to AD mice- Microglial morphologies similar to AD mice |
| Reference | Participant/animal model | GM profiling method | GM alterations by sleep disturbance/correlated with poor sleep quality | Other major findings | ||
|---|---|---|---|---|---|---|
| Human study | ||||||
| 71 | 9 healthy malesPartial SD. NSLocation: Swedenvs | 16S rRNA gene seqV4 region | ↑ | Family: Coriobacteriaceae, Erysiopelotrichaceae | - Increased insulin resistance and fasting insulin level | |
| 72 | 28 healthy adultsPSQI for sleep measuringLocation: USA | 16S rRNA gene seqV4 region | + | Genus:Prevotella | ||
| - | Family: Lachnospiraceae | |||||
| Genus:Blautia, Ruminococcus | ||||||
| 73 | 37 adults aging from 50 to 85PSQI for sleep measuringLocation: USA | 16S rRNA gene seq | - | Phylum: Verrucomicrobia, Lentisphaerae | - Better Stroop and Color-Word performance were associated with better sleep quality | |
| 74 | 22 healthy malesActiwatch for sleep measuringLocation: USA | 16S rRNA gene seqV4 region | + | Family: Lachnospiraceae | ||
| Genus:Blautia, Lachnospiraceae UCG-004, Oribacterium | ||||||
| - | Genus:Lachnospiraceae ND3007 | |||||
| Animal study | ||||||
| 75 | Male C57BL/6 J miceChronic SF. NSvs | 16S rRNA gene seqV4 region | ↑ | Family: Lachnospiraceae, Ruminococcaceae | - Increased food intake, VWAT, inflammation, insulin resistance, and gut permeability- Enhanced inflammation in GF mice after FMT from SF mice | |
| ↓ | Family: Lactobacillaceae, Bifidobacteriaceae | |||||
| 76 | Male C57BL/6 J miceShort SD. NSvs | 16S rRNA gene seqV3-V5 region | ↑ | Family: Lachnospiraceae | - Subtle GM alteration by short period of SD | |
| Genus:Moryella | ||||||
| ↓ | Genus:Oxobacter | |||||
| 77 | Male Wistar-Kyoto ratsSF. NSvs | 16S rRNA gene seqV4 region | ↑ | Genus:Escherichia, Shigella, Enterococcus, Lachnospiraceae UCG-008 | - Increased mean arterial pressure | |
| ↓ | Genus:Butyrivibrio, Oscillospira, Eubacterium, Dorea | |||||
| Species:Eubacterium ruminantium | ||||||
| 78 | Male C57BL/6 N miceSD. NSvs | 16S rRNA gene seqV4 region | ↓ | Family: Bifidobacteriaceae, Lactobacillaceae, Turicibacteraceae | - Reduced fecal bile acid and triterpenoids | |
| Genus:Bifidobacterium, Lactobacillus, Turicibacter | ||||||
| 79 | Sprague Dawley ratsAcute SF (ASF). NSChronic SF (CSF). NSvsvs | Distal ileum (D), cecum (C), and proximal colon (P) samples16S rRNA gene seq | ASF | ↑ | Family: Enterobacteriaceae (D), S24-7 (D), Ruminococcaceae (C) | - Increased microbial invasion- Altered intestinal structure but not gut barrier integrity- Increased KC/GRO level |
| Genus:(C),(C),(C)OscillospiraBacteroidesPrevotella | ||||||
| ↓ | Family: Lactobacillaceae (D) | |||||
| Genus:(P)Lactobacillus | ||||||
| CSF | ↑ | Family: Staphylococcaceae (D), Clostridiaceae (D)(P), Erysipelotrichaceae (P), Ruminococcaceae (P) | ||||
| Genus:(P),(P)PrevotellaClostridium | ||||||
| ↓ | Family: Lactobacillaceae (D) | |||||
| 80 | Male Wistar ratsParadoxical SD. NSvs | 16S rRNA gene seq | ↑ | Genus:Parabacteroides, Ruminococcus, Aggregatibacter, Phascolarctobacterium | - Depression-like behavior- Increased CRH, ACTH, and CORT and pro-inflammatory cytokines IL-6, TNF-α, and CRP- Decreased arginine, proline, and pyruvate metabolism | |
| ↓ | Genus:Akkermansia, Oscillospira | |||||
| Reference | Participant/animal model | GM profiling method | GM alterations by circadian rhythm disruption | Other major findings | ||
|---|---|---|---|---|---|---|
| Human study | ||||||
| 87 | 10 healthy malesNight shift. day shiftLocation: Turkeyvs | 16S rRNA gene seq | ↑ | Family: Coriobacteriaceae, Erysipelotrichaceae, Prevotellaceae, Lachnospiraceae | ||
| Genus:Dorea, Coprococcus | ||||||
| Species:Ruminococcus torques, Ruminococcus gauvreauii | ||||||
| ↓ | Species:Faecalibacterium prausnitzii | |||||
| 68 | 2 healthy individualsAfter jet lag. before jet lagvs | 16S rRNA gene seqV1-V2 region | ↑ | Phylum: Firmicutes | - Human GM showed diurnal oscillation- FMT from jet-lagged individual into GF mice caused weight gain and body fat accumulation | |
| ↓ | Phylum: Bacteroidetes | |||||
| 88 | 22 healthy adultsAcute sleep-wake cycle shiftAfter shift vs. before shiftLocation: China | 16S rRNA gene seqV4 region | ↑ | Family: Pasteurellaceae, Fusobacteriaceae | - Acute sleep-wake cycle shift had limited impact on GM | |
| Genus:Dialister, Escherichia, Shigella | ||||||
| ↓ | Family: Peptostreptococcacea, Desulfovibrionaceae | |||||
| Genus:Ruminococcaceae UCG-013 | ||||||
| Animal study | ||||||
| 89 | Male C57BL/6 J miceInverted light (IN). LDvs | 16S rRNA gene seqV4 region | ↑ | Genus:Barnesiella, Clostridium, Lactobacillus | - Increased weight gain, inflammation, and insulin resistance- Disrupted gut barrier by fecal water of IN mice | |
| ↓ | Genus:Turicibacter | |||||
| 90 | Male C57BL/6 J miceLL. LDvs | 16S rRNA gene seq | ↑ | Species:Ruminococcus torques | - Increased LPS synthesis and decreased SCFAs and indole metabolism- Disrupted gut barrier integrity | |
| ↓ | Genus:Subdoligranulum | |||||
| Species:Lactobacillus johnsonii, Eubacterium plexicaudatum | ||||||
| 91 | Male ratsLL. LDDD. LDvsvs | 16S rRNA gene seqV3-V4 region | LL | ↑ | Family: Erysiopelotrichaceae, Bacteroidaceae, Prevotellaceae, Lactobacillaceae | - Increased anxiety and activity |
| Genus:Blautia, Prevotella, Lactobacillus, Faecalibacterium | ||||||
| ↓ | Family: Ruminococcaceae, Porphyromonadaceae | |||||
| Genus:Parabacteroides | ||||||
| DD | ↑ | Family: Erysiopelotrichaceae, Prevotellaceae, Lactobacillaceae | - Decreased activity- Decreased DA and NE in urine | |||
| Genus:Blautia, Prevotella, Lactobacillus, Faecalibacterium | ||||||
| ↓ | Family: Ruminococcaceae, Porphyromonadaceae | |||||
| Genus:Parabacteroides, Bacteroides, Ruminococcus | ||||||
| 68 | WT miceJet lag. LDvs | 16S rRNA gene seqV1-V2 region | ↑ | Family: Prevotellaceae, Rikenellaceae | - Mice GM exhibited diurnal oscillation- Disrupted diurnal rhythmicity of GM by jet lag | |
| ↓ | Family: Christensenellaceae, Anaeroplasmataceae | |||||
| Genus:Lactococcus, Dorea, Lactobacillus, Ruminococus | ||||||
| Implication in health and disease | Taxonomic level | Trend of GM alteration | ||||
|---|---|---|---|---|---|---|
| Family | Genus/Species | AD | SD | CRD | ||
| Human study | ||||||
| Beneficialbacteria | Producing SCFAsPromoting mucin expressionAnti-inflammatory | Akkermansiaceae | Akkermansia | // | N/A | N/A |
| Inhibiting inflammation and infection | Bacteroidaceae | (NTBF)Bacteroides fragilis | ↓(S*) | N/A | N/A | |
| Producing GABA, acetate, and lactate | Bifidobacteriaceae | Bifidobacterium | // | N/A | N/A | |
| Producing SCFAs | Clostridiaceae | ↓(F**) | N/A | N/A | ||
| Producing butyrateAnti-inflammatory | Eubacteriaceae | Eubacterium rectale | ↓(S*) | N/A | N/A | |
| Producing SCFAs | Lachnospiraceae | Blautia | // | // | N/A | |
| Producing GABA, lactate, and amino acid | Lactobacillaceae | Lactobacillus | // | N/A | N/A | |
| Producing butyrateAnti-inflammatory | Ruminococcaceae | Faecalibacterium | ↓(F**) | N/A | ↓(G*) | |
| Producing SCFAs | Ruminococcus | ↓(G*) | N/A | |||
| Controversial taxa | Producing propionateDegrading mucinIncreasing gut permeability | Lachnospiraceae | Dorea | ↑(G*) | N/A | ↑(F*, G*) |
| Ruminococcus gauvreauii | N/A | N/A | ↑(S*) | |||
| Ruminococcus gnavus | ↑(S*) | N/A | N/A | |||
| Ruminococcus torques | N/A | N/A | ↑(S*) | |||
| Pathobionts | Positively correlated with IBD | Coriobacteriaceae | ↑(F*) | ↑(F*) | N/A | |
| Producing LPS, bacteria Aβ, and exotoxinDamaging gut barrierPro-inflammatory | Enterobacteriaceae | Escherichia | ↑(F*, G*) | N/A | ↑(G*) | |
| Shigella | ↑(F*, G*) | N/A | ↑(G*) | |||
| Highly immunogenicPro-inflammatory | Erysiopelotrichaceae | ↑(F*) | ↑(F*) | ↑(F*) | ||
| Prevotellaceae | Prevotella | N/A | ↑(G*) | ↑(F*) | ||
| Animal study | ||||||
| Beneficial bacteria | Producing SCFAsPromoting mucin expressionAnti-inflammatory | Akkermansiaceae | Akkermansia | // | ↓(G*) | N/A |
| Inhibiting inflammation and infection | Bifidobacteriaceae | Bifidobacterium | ↓(G*) | ↓(F**, G*) | N/A | |
| Producing butyrateAnti-inflammatory | Eubacteriaceae | Eubacterium plexicaudatum | ↓(G*) | N/A | ↓(S*) | |
| Eubacterium ruminantium | ↓(G*, S*) | N/A | ||||
| Producing SCFAs | Lachnospiraceae | Blautia | // | // | // | |
| Producing butyrate | Butyrivibrio | ↓(G*) | ↓(G*) | N/A | ||
| Producing GABA, lactate, and amino acid | Lactobacillaceae | Lactobacillus | ↓(G*) | ↓(F****, G**) | // | |
| Producing SCFAs | Ruminococcaceae | Ruminococcus | ↓(G****) | ↑(F***, G*) | ↓(F**, G**) | |
| Negatively correlated with IBD | S24-7 | ↓(F***) | N/A | N/A | ||
| Negatively correlated with IBD, ASD | Turicibacteraceae | Turicibacter | ↓(F**, G**) | ↓(F*, G*) | ↓(G*) | |
| Controversial taxa | Producing propionateDegrading mucinIncreasing gut permeability | Lachnospiraceae | Dorea | // | ↑(F***) | // |
| Ruminococcus torques | N/A | N/A | ↑(S*) | |||
| Pathobionts | Producing LPS, bacteria Aβ, and exotoxinDamaging gut barrierPro-inflammatory | Enterobacteriaceae | Escherichia | ↑(F*) | ↑(F*, G*) | N/A |
| Shigella | ↑(F*, G*) | N/A | ||||
| Highly immunogenicPro-inflammatory | Erysiopelotrichaceae | ↑(F**) | ↑(F*) | ↑(F**) | ||
| Prevotellaceae | Prevotella | // | ↑(G**) | ↑(F***, G**) | ||
| Producing bacterial Aβ and toxinPro-inflammatory | Staphylococcaceae | Staphylococcus | ↑(F**, G**) | ↑(F*) | N/A | |
GM interventions restore the progression of AD
GM intervention studies in AD animal models. (a) Probiotic supplement study: AD mice feed with probiotic strains ofandshowed reversed cognitive dysfunction, decreased Aβ deposition in brain and lower level of colon inflammation. (b) Antibiotic treatment and germ-free (GF) animal study: antibiotic treated embryo was transferred to pseudo-pregnant mice to generate GF mice. Both GF AD mice and AD mice feed with antibiotic display improved cognitive function, increased Aβ clearance and alleviated neuroinflammation. (c) Fecal microbiota transplantation (FMT) study: FMT from healthy wild-type (WT) donor could restore GM dysbiosis, ameliorate Aβ and tau pathology, and downregulate neuroinflammation in AD mice, whereas GF AD mice receiving FMT from AD mice show aggravated Aβ burden and GM profile similar as observed in AD mice Lactobacillus Bifidobacterium
Sleep, circadian rhythm and GM
Although human gut ecosystem maintains rather resilient, perturbation by antibiotics, high-fat food and stress could damage intestinal homeostasis.3,66 These key determinants of GM have been studied extensively over the past decades, but the role of sleep and circadian rhythm in regulating GM was underestimated.67 Recent studies have shown that human GM display diurnal oscillation at both compositional and functional levels.68 It has been suggested that SCRD may lead to GM dysbiosis through several indirect ways, including disrupting the rhythmic fluctuation of GM, activating the HPA axis, increasing food and energy intake, decreasing physical activity and damaging gut barrier integrity.21,69,70 In this part, we summarize recent progress regarding the correlation between SCRD and GM dysbiosis as well as how SCRD impacts GM (Tables 3, 4). Like the findings in AD, increased pathobionts and decreased beneficial bacteria were identified in SCRD conditions in both human and animal models.
Sleep disturbance and GM alterations
GM alterations in human and animal models caused by sleep disturbance or related to sleep quality are presented in Table 3 (top)71–74 and Table 3 (bottom),75–80 respectively. To date, only a few studies explored the effects of sleep impacting on GM in humans, restricting their focus on the association between specific bacterial taxa and sleep quality based on Pittsburgh sleep quality index (PSQI) or sleep physiology. Two studies compared the GM of individuals after short-term sleep deprivation with baseline data collected before deprivation.71,81 But their findings are largely inconsistent, likely owing to distinct experimental designs and several uncontrolled variables, including daily dietary and energy intake of the subjects. Therefore, few commonalities in GM changes can be concluded from human studies. In contrast, multiple animal-based experimental studies that focus on the impacts of long-term sleep deprivation and fragmentation on GM composition have been conducted, with largely identical results of GM alterations.
Increased bacterial taxa by sleep disturbance
In humans, partial sleep deprivation and poor sleep quality resulted in more abundant Erysiopelotrichaceae, Prevotellaceae and Coriobacteriaceae at family level (Table 3, top). Sleep deprivation and fragmentation in animals contributed to GM dysbiosis featured by increased Ruminococcaceae, Lachnospiraceae, Erysiopelotrichaceae, Enterobacteriaceae and Staphylococcaceae at family level, and Ruminococcus, Prevotella, Escherichia and Shigella at genus level (Table 3, bottom).
Prevotellaceae is also an immunogenic bacterial taxon highly coated by IgA.82 It has also been suggested that species of Prevotellaceae could induce intestinal inflammation, slow the development of mucus layer and are involved in various intestinal diseases including IBD and colitis.83 Note that although sleep disturbance increased abundance of Ruminococcaceae and Lachnospiraceae in murine subjects, it is mainly due to increased food-intake as both families are highly fermentative bacteria utilizing the plant-derived fiber and polysaccharides in chow food.75
Decreased bacterial taxa by sleep disturbance
In human studies, a decline in the relative abundance of Ruminococcus is correlated with poor sleep quality (Table 3, top). In animal subjects, Lactobacillacea, Bifidobacteriaceae, Turicibacteraceae at both family and genus level, together with Eubacterium and Akkermansia at genus level, exhibited significant decrease after sleep deprivation (Table 3, bottom).
Eubacteriaceae along with Clostridiaceae, Lachnospiraceae and Ruminococcaceae are important SCFAs producers of mammalian GM.49 The SCFA butyrate plays an important role in maintaining gut barrier and regulating immune responses toward anti-inflammatory status.84 The genus Eubacterium makes significant contribution to butyrate production since Eubacterium rectale makes up about 13% of the clostridial cluster XIVa.49 Therefore, loss of Eubacterium caused by sleep disturbances could lead to a decline in butyrate level and disrupt the integrity of gut barrier. It has been found that the SCFA-producing taxon Akkermansia can successfully mitigate the development of obesity and diabetes, protect gut barrier integrity and stimulate anti-inflammatory responses.85
Circadian rhythm disruption and GM alterations
In addition to sleep loss, circadian rhythm disruption is also receiving increasing attention, given the increased prevalence of altered sleep-wake cycle and jet lag, which are largely due to working night shift and traveling across time zones. Aberrant light exposure, high fat diet, alcohol consumption and irregular eating behavior have been found to induce circadian misalignment.86 Numerous studies have indicated a link between circadian rhythm disruption with higher risk of pathological conditions including obesity, cardiovascular diseases and neurodegenerative diseases. The diurnal oscillation of human GM is partially controlled by central clock,68 indicating the regulatory roles of circadian in GM eubiosis. Thus, we summarized recent studies focusing on the effects of circadian rhythm disruption on GM components in Table 4.68,87–91
Increased bacterial taxa by circadian rhythm disruption
The GM of human after undergoing shift work or jet lag exhibited increased abundance of Erysiopelotrichaceae, Prevotellaceae and Lachnospiraceae at family level, Dorea at genus level, and Ruminococcus torques and Ruminococcus gauvreauii at species level (Table 4, top). In murine models, circadian rhythm disruption (mainly achieved by altering light-dark cycles) resulted in an increase of Erysiopelotrichaceae and Prevotellaceae at family level, Prevotella at genus level and Ruminococcus torques at species level, largely consistent with observations in humans (Table 4, bottom).
Dorea, Ruminococcus torques and Ruminococcus gauvreauii utilize glycoside hydrolases to breakdown mucus layer and produce propionate.92 Despite their SFCA-producing capacity, increased abundance of mucolytic bacteria has been associated with disrupted gut barrier and inflammatory bowel diseases.93 Studies have suggested the role of Dorea spp. in inflammation through the promotion of IFNγ production and mucin degradation.84,94 Significantly abundant pathobiont Ruminococcus torques has been found in patients with ulcerative colitis (UC) and CD.93Ruminococcus gauvreauii has been found to be positively correlated with pro-inflammatory parameters in rats with fatty liver.95
Decreased bacterial taxa by circadian rhythm disruption
In human studies, circadian disruption led to decreased levels of genus Faecalibacterium and species Faecalibacterium prausnitzii (Table 4, top). Ruminococcaceae at both family and genus level, Turicibacter at genus level and Eubacterium plexicaudatum at species level were decreased in animal studies after the disruption of light-dark cycles (Table 4, bottom).
Faecalibacterium was the only diminished bacterial taxa caused by circadian rhythm disruption at genus level. Faecalibacterium prausnitzi, the sole species of genus Faecalibacterium, is one of the most abundant bacteria in human GM representing more than 5% of bacterial population in intestine.96 It acts as an important SCFA butyrate producing taxon, similar to other members in Ruminococcaceae family.97 Moreover, studies have reported a negative association of Faecalibacterium prausnitzi with various inflammatory bowel diseases including UC and CD, suggesting that it could be a health indicator.96
Linking GM, sleep, circadian and AD
GM and AD – causal or coincidental?
What is the role of GM dysbiosis in AD? It remains debatable whether GM dysbiosis plays as causal or merely consequential role in AD. Recently, studies have started to support the idea that GM dysbiosis precedes the onset of AD and even contributes to AD pathogenesis. Li et al. found that AD and MCI groups had distinct GM compositions from healthy controls in both fecal and blood samples, largely consistent with a previous report by another group.9,10 These findings provide a new perspective that GM dysbiosis starting at early MCI is a developing process with the cumulation and depletion of specific bacterial taxa. Studies of GM intervention in AD including probiotic supplement, antibiotic treatment, germ-free animals and FMT further reinforced the causal role of GM dysbiosis in AD pathogenesis.
What causes GM dysbiosis before the onset of AD? Human GM is determined by multiple factors including early life exposure, medical intervention, diet, stress, sleep and circadian rhythm.21 Many studies have associated these factors with GM eubiosis, and their potential impacts on AD pathogenesis. A recent paper proposed a perspective that diet-induced GM dysbiosis plays a role in the pathogenesis of AD.44 Multiple reviews summarized GM alterations in AD and SCRD, respectively, but no reviews to date have systematically analyzed the patterns of GM changes in AD and SCRD simultaneously, or made a hypothesis linking SCRD, GM dysbiosis and AD.
Linking SCRD to AD through GM dysbiosis
First, we check the uniformity in GM alterations and their potential contributions to health and disease under AD and SCRD conditions. We compared the GM alterations and their potential roles (beneficial bacteria, pathobionts or controversial taxa) in a taxonomic view under distinct conditions: AD, sleep and circadian disruption (Table 5). We observe higher abundance of highly immunogenic Erysiopelotrichaceae at family level in both human and rodents in each condition, but most other changes in individual bacteria were inconsistent between human and rodent (Table 5), which may be caused by the differences in GM components between these two species.100 Thus, when analyzing the overlapping of GM alterations in different conditions, we conduct separate evaluations in humans and rodents. In humans, SCFAs-producing Ruminococcaceae at family or genus level is shown to be significantly lower in either condition, whereas highly immunogenic bacteria including Erysiopelotrichaceae and Coriobacteriaceae at family level are shown to be significantly higher in each condition. Most other GM components are inconsistent between different conditions, sometimes due to no relevant data available at present (Table 5). In animal models, similar trends are observed in several bacteria individuals between different conditions. For example, beneficial bacteria including Lactobacillaceae, Bifidobacteriaceae, Turicibacteraceae and Lachnospiraceae at family and/or genus level are significantly decreased in AD, sleep disturbance and/or circadian disruption, and other parts of pathobionts are uniformly increased, with the exception of Ruminococcaceae. As stated above, the increase in Ruminococcaceae during sleep disturbance was probably due to aberrant food intake.
Next, we elucidate the potential role of GM dysbiosis in the development of AD by providing the evidence of how GM interventions, including probiotics, antibiotics, germ-free treatment and FMT, restore cognitive functions and alleviate AD pathology (Table 2) (Figure 3). Although various factors modulate GM composition, emerging evidence has indicated that SCRD could disturb GM and lead to GM dysbiosis. Most human studies merely investigated the correlation between SCRD and GM dysbiosis, while animal studies provided more insights into GM alterations under different SCRD conditions such as sleep deprivation, sleep fragmentation and circadian rhythm reversal. Studies have also revealed several possible mechanisms underlying how SCRD contributes to GM dysbiosis, including increased food intake, decreased physical activity, activation of HPA axis and compromised gut barrier integrity, and this topic has been reviewed elsewhere.21,101
Time-line for the development of AD via SCRD-induced GM dysbiosis. Long-term SCRD (e.g., insomnia, fragmented sleep, night shift work and frequent traveling between time zones) leads to chronic alteration of GM with overabundant pathobionts and reduced beneficial bacteria. GM dysbiosis disrupts gut barrier integrity and facilitates the invasion of pathogens and their metabolite (e.g., LPS, exotoxins and bacterial Aβ). These pro-inflammatory agents induce inflammation responses and compromise BBB structure, leading to neuroinflammation and the onset of early MCI. As MCI develops, progressive enrichment of pathobionts such as Enterobacteriaceae further exacerbate neuroinflammation, cognitive dysfunction and Aβ burden, which in the end contribute to the pathogenesis of AD
Schematic diagram of how SCRD contributes to AD pathogenesis through GM dysbiosis. SCRD, such as sleep deprivation, sleep fragmentation and jet lag, disrupts gut homeostasis with increased pathobionts (e.g., Enterobacteriaceae, Erysiopelotrichaceae and Prevotellaceae) and decreased beneficial bacteria (e.g., Eubacteriaceae, Ruminococcaceae and other SCFA-producing taxa). On one hand, pathobionts could damage gut barrier and cause leaky gut through the degradation of mucus layer. Pathogens and their metabolites induce pro-inflammatory responses and lead to increased BBB permeability. Bacteria-derived Aβ and LPS invade CNS and are associated with neuroinflammation and Aβ pathology. On the other hand, the compromised functions of beneficial bacteria (e.g., inhibiting infection, promoting mucin expression, producing neuromodulators and anti-inflammation SCFAs) are overwhelmed by overabundant pathobionts. Thus, the elevated neuroinflammation and aggravated Aβ burden facilitate the onset of AD
Future directions
In this review, we intend to summarize and evaluate the commonalities and distinctiveness of GM alterations in different conditions including AD, sleep disruption and circadian rhythm misalignment. Although data implied commonalities in these conditions, there were also condition-specific changes in certain species. Significantly, heterogeneity of methodologies applied for genetic material extraction, DNA sequencing, the lifestyle of subjects and methods for data analysis could compromise the results among different studies and lead to inconsistency, which could be expected in human studies. We suggest that further work is needed to specify the alteration of GM at species and even strain level, and incorporate metabolic and functional analysis to reveal possible mechanisms linking GM dysbiosis and diseases using standardized experimental design and data analysis.
Phylogenetic analysis of GM needs to be conducted at a high taxonomic resolution
Studies have implicated that GM can be altered at lower taxonomic level without achieving alteration at high taxonomic level.39 For example, Firmicutes and Bacteroidetes are the two largest bacterial phyla of the mammalian gastrointestinal tract, and their ratio (F/B) was commonly used in GM analysis.102 However, reviews have reported inconsistent changes in F/B ratio across a series of neurodegenerative diseases and metabolic disorders, making F/B ratio a debatable and controversial criterion.6,99,103,104 In agreement with our findings, one review summarizing the GM alterations in patients with PD found that, at high taxonomic ranks like phylum and class level, the changes in bacterial taxa are neither disease-specific nor consistent among different studies, but a more concordant trend was observed at family and genus level.39
Additionally, α-diversity was thought to be a good indicator of health and diseases, and has been frequently investigated in GM analysis.105 However, we found that neither AD studies nor SCRD studies showed concordant variation of GM α-diversity. And α-diversity analysis was not included in several studies. This is supported by another review which examines the association between GM and PD. They found that the confounding results of α-diversity alteration reported by different studies did not substantiate the role of α-diversity analysis as reliable methods for identifying PD and its progression, suggesting that higher α-diversity was not necessarily a predictor of better health.6
Future studies need to focus more on metabolic and functional analysis
Most studies examining GM alterations in AD or SCRD only evaluated compositional changes of GM, and few conducted function-related analyses such as Kyoto Encyclopedia of Genes and Genomes (KEGG) test or metabolite screening. However, reviews have indicated that two taxonomically distinct bacterial taxa could share similar functions, while two closely related taxa may act antagonistically.92,106 This suggests that phylogenetic analysis which is based on the hypervariable regions of bacterial 16s RNA gene cannot alone represent GM alterations at both taxonomic and functional level. It is possible that an increase of one genus could be neutralized or even reversed by a decrease of predominant genus in the same family. Thus, it would be confusing and misleading to simply conduct compositional analysis in discussing GM alterations. Moreover, metabolic and functional analysis have provided some important molecular and signaling pathways including possible interaction mechanisms between SCRD and GM and how GM dysbiosis could contribute to AD development.10,28,30,33
Controversial roles of specific bacterial taxa
Lachnospiraceae and Akkermansia muciniphila, two taxa frequently investigated by the abovementioned studies, still remain controversial in their functions. As a core component of mammalian GM, Lachnospiraceae acts as a double-edged sword in health and disease.92 On the one hand, several members of Lachnospiraceae like Blautia, Coprococcus and Roseburia are crucial producers of butyrate and acetate, which induce anti-inflammatory responses, modulate insulin and lipid metabolism, and serve as the main nutrition source for colonic epithelial cells.107–109 But on the other hand, other members, especially those capable of both producing propionate and degrading mucin, such as Dorea spp, Ruminococcus gnavus and Ruminococcus torques, have been associated with series of inflammation-related disorders and increased gut barrier permeability.93,94 Unfortunately, the phylogenetic analyses in most studies were limited to the family level, possibly leading to the inconsistent data regarding the role of Lachnospiraceae in health and disease.
Akkermansia muciniphila (A. muciniphila) is another important SCFA-producer that utilizes mucin as carbon source.110 However, reduced abundance of A. muciniphila has been associated with inflammatory bowel diseases and elevated inflammation.85 Several reviews have also suggested A. muciniphila as a promising probiotic in treating metabolic disorders and modulating immune responses.111,112 Different from other mucin-degrading taxa, A. muciniphila was also found to promote mucin production, despite its ability to breakdown mucus layer.113 Nevertheless, increased level of A. muciniphila was found in PD patients and some opposite effects have been reported.6,85
Controlling variables in human studies
At compositional level, a weak connection of GM changes between human and animal studies can be established since human and murine harbor similar yet distinct microorganisms, although a shared trend of GM alterations was observed at functional level. However, compared to human, animal models exhibited more consistent GM alterations in both AD and SCRD studies. This discrepancy is mainly due to the limited studies available, heterogeneous samples and different methodologies applied in human studies.
In animal studies, mice and rats were born with identical genetic background, housed in constant environment and fed with unified food, and variables that could compromise the study have been carefully controlled as possible. Whereas in human studies, multiple factors including race, nationality, culture background and education may have substantial impacts on the lifestyle, daily diet and eating habit of participants, which directly affect GM composition.114 For example, participants of the five AD patients studies we have discussed above were from three continents with diverse culture background. It has been reported that diet plays a fundamental role in health and is a key determinant of GM.115,116 Western-style diet, high in animal protein, sugar and fat and low in vegetables, favors the growth of Bacteroidetes, especially Prevotella, which has been associated with colon cancer and several bowel diseases.117 Mediterranean diet, featured by fruit, plant fiber and unsaturated fat, shifts GM toward more abundant Akkermansia, Bifidobacterium and Lactobacillus.117 Also, food rich in dietary fiber and carbohydrates promotes the growth of highly fermentative bacteria such as Lachnospiraceae, Lactobacillaceae and Ruminococcaceae in the phylum Firmicutes.92 Thus, the diverse dietary could contribute to the discrepant GM alterations in AD patients from different countries. Moreover, the varied experimental designs and heterogeneous methods, including fecal sample acquirement, DNA extraction and sequencing, as well as the criteria in determining cognitive function and sleep quality, make it difficult to conclude a consistent trend of GM alterations from different studies.
Therefore, it seems improper to compare GM alterations in human studies solely based on low-level phylogenetic analysis, which can be easily affected by the abovementioned factors. However, we observed a coherent trend by taking the perspective of metabolism and functions (Table 5, Figure 4).
Conclusion
Based on the evaluations from different studies on GM at both compositional and functional levels, this review suggests a possible link between SCRD and AD by GM. We propose that long-term SCRD may indirectly lead to chronic GM dysbiosis by altering eating habit, lifestyle, metabolism, etc. SCRD and GM dysbiosis could work synergistically to contribute to the onset and progression of AD (Figure 5). However, the contribution of this alternative pathway in the development of AD remains unclear and requires further elucidation, since the etiology of sporadic AD varies from person to person.118 Also, more studies are needed to further demonstrate the specific mechanisms of how SCRD leads to GM dysbiosis and how probiotic and antibiotic treatment ameliorate AD pathology, as well as the potential implications of pathobionts such as Erysiopelotrichaceae and Coriobacteriaceae in health and disease.