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Abstract
ABSTRATC
In recent years, emerging studies have observed gut microbiota (GM) alterations in Alzheimer’s disease (AD), even in individuals with mild cognitive impairment (MCI). Further, impaired sleep and circadian patterns are common symptoms of AD, while sleep and circadian rhythm disruption (SCRD) is associated with greater β-amyloid (Aβ) burden and AD risk, sometimes years before the clinical onset of AD. Moreover, reports have demonstrated that GM and its metabolites exhibit diurnal rhythmicity and the role of SCRD in dampening the GM rhythmicity and eubiosis. This review will provide an evaluation of clinical and animal studies describing GM alterations in distinct conditions, including AD, sleep and circadian disruption. It aims to identify the overlapping and distinctive GM alterations in these conditions and their contributions to pathophysiology. Although most studies are observational and use different methodologies, data indicate partial commonalities in GM alterations and unanimity at functional level. Finally, we discuss the possible interactions between SCRD and GM in AD pathogenesis, as well as several methodological improvements that are necessary for future research.
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.
Studies in the last few decades have long examined common determinants of the human GM, including diet, medicine and stress.[19],[20] Recent findings suggest a novel role of sleep and circadian rhythm in shaping and modulating the composition of GM.[21] However, to the best of our knowledge, no reviews to date have considered the possible contributions of synergistic interactions between SCRD and GM dysbiosis to the pathogenesis of AD. In this review, we first present recent studies that examined the GM alterations in AD and SCRD. We summarize those findings and compare the GM changes at both compositional and functional levels across studies. We observe commonalities in GM alterations of individual bacteria and unanimous changes at functional level between AD and SCRD conditions. Therefore, we discuss possible interactions between SCRD and GM, which contribute to AD onset by inducing peripheral and central inflammation (Figure 1). We reason that this is achieved through various pathways including disrupted gut barrier integrity, compromised blood-brain barrier (BBB), decreased short-chain fatty acids (SCFAs) production and increased pro-inflammatory metabolites.

Figure 1. 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
Recent clinical observations have found significant GM alterations in both AD and MCI patients. Here, we summarize the alterations of GM composition in AD patients compared to controls in Table 1 (top).[9],[10],[26–28] In addition, animal models are also used in other studies, and the relevant findings are summarized in Table 1 (bottom).[29–36] Note that transgenic mice including APP/PS1, SAMP8, 5xFAD and their derivatives were the most frequently used AD models.[37] Substances such as D-galactose, Aβ protein and lipopolysaccharide (LPS) were also used in several studies to induce AD pathology.[38]
Table 1. Summary of studies investigating GM alteration in AD
| 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 HC Location: China | 16S rRNA gene seq V3-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 HC Location: China | 16S rRNA gene seq V3-V4 region | ↑ | Family: Lachnospiraceae, Streptococcaceae, Erysiopelotrichaceae, Coriobacteriaceae, Lactobacillaceae, Bifidobacteriaceae |
|
| 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 HC Location: China | 16S rRNA gene seq V3-V4 region | ↑ | Family: Enterobacteriaceae, Veillonellaceae |
|
| ↓ | Family: Clostridiaceae, Lachnospiraceae, Ruminococcaceae | ||||
| Genus: Blautia, Ruminococcus | |||||
| 27 | 25 AD patients and 25 age- and gender-matched HC Location: USA | 16S rRNA gene seq V4 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 HC Location: Italy | Microbial DNA qPCR Assay Kit | Amy+ vs. HC |
| |
| ↑ | Genus: Escherichia, Shigella | ||||
| ↓ | Species: Eubacterium rectale, Bacteroides fragilis | ||||
| Animal study | |||||
| 29 | Female APP/PS1 mice Control: female WT mice Age: 3, 6 and 24 months | 16S rRNA gene seq V1-V3 region | ↑ | Family: Erysipelotrichaceae |
|
| Genus: Sutterella | |||||
| ↓ | Family: Rikenellaceae | ||||
| Genus: Ruminococcus, Oscillospira | |||||
| 30 | Male SAMP8 mice Control: male SAMR1 mice Age: 6 months | 16S rRNA gene seq V3-V4 region | ↑ | Genus: Alistipes, Akkermansia, norank_f__Lachnospiraceae, Odoribacter, Streptococcus, Rikenella, Butyricicoccus |
|
| ↓ | Genus: Prevotella, Parasutterella, Butyrivibrio, Eubacterium, Ruminococcus, norank_f__S24_7, | ||||
| 31 | Male APP/PS1 mice Control: male WT mice Age: 6 months | 16S rRNA gene seq V3-V4 region | ↑ | Family: Verrucomicrobiaceae, Desulfovibrionaceae, Staphylococcaceae, Corynebacteriaceae |
|
| Genus: Akkermansia, Staphylococcus, Desulfovibrio, unclassified_f__Erysiopelotrichaceae, | |||||
| ↓ | Family: S24_7, Prevotellaceae, Enterococcaceae | ||||
| Genus: Faecalibaculum, Ruminococcaceae UCG-01, Alloprevotella, Enterococcus | |||||
| 32 | Male SAMP8 mice Control: male SAMR1 mice Age: 7 months | 16S rRNA gene seq V3-V5 region | ↑ | Genus: uncultured Bacteroidales bacterium |
|
| ↓ | Family: Clostridiales vadinBB60 group, Family XIII, Christensenellaceae, Ruminococcaceae, Desulfovibrionaceae, Deferribacteraceae | ||||
| Genus: Mucispirillum, Serratia, Subdoligranulum, Ruminiclostridium, Coprococcus, Oscillibacter | |||||
| 33 | Male APP/PS1 mice Control: male WT mice Age: 1, 3, 5–6, 8–12 months | 16S rRNA gene seq V3-V4 region | ↑ | Family: Erysiopelotrichaceae, Verrucomicrobiaceae |
|
| Species: Desulfovibrio C21_c20 | |||||
| ↓ | Genus: Ruminococcus, Butyricicoccus | ||||
| Species: Butyricicoccus pullicaecorum | |||||
| 34 | Male APP/PS1 mice Control: male WT mice Age: 3, 6 and 8 months | 16S rRNA gene seq V3-V4 region | ↑ | Family: Helicobacteraceae, Desulfovibrionaceae, Coriobacteriaceae |
|
| Genus: Odoribacter, Helicobacter | |||||
| ↓ | Genus: Prevotella, Ruminococcus | ||||
| 36 | Male/female APP/PS1 mice Control: male and female WT mice Age: 8 months | 16S rRNA gene seq V3-V4 region | ↑ | Family: Enterobacteriaceae, Staphylococcaceae, Lachnospiraceae, Rikenellaceae |
|
| Genus: Staphylococcus | |||||
| ↓ | Family: Bifidobacteriaceae, Coriobacteriaceae, Bacteroidaceae, Prevotellaceae, Turicibacteraceae, Akkermansiaceae | ||||
| Genus: Bifidobacterium, Prevotella, Turicibacter, Desulfovibrio, Akkermansia | |||||
| 35 | Female ADLPAPT mice Control: female WT mice Age: 8 months | 16S rRNA gene seq | ↑ | Family: Prevotellaceae, Rikenellaceae |
|
| Genus: Prevotella, Paraprevotella | |||||
| ↓ | Family: Lactobacillaceae, Turicibacteraceae, Desulfovibrionaceae, S24-7 | ||||
| Genus: Lactobacillus, Turicibacter, Desulfovibrio |
It has been suggested that α-diversity analysis and Firmicutes/Bacteroidetes (F/B) ratio, two frequently used criteria in microbiome analysis, are not reliable in investigating the association between GM alteration and PD.[6],[39] Interestingly, we also found inconsistent results of α-diversity, F/B ratio and GM changes at high phylogenetic rank (e.g., phylum, class and order level) in both AD and SCRD studies. The findings showed better concordance at higher taxonomic resolution. Therefore, GM alterations at family, genus and species level are presented in the following tables (Tables 1–5). Generally, we have identified higher level of pathobionts and lower level of beneficial bacteria in both AD patients and animals (Figure 2).
Table 2. Summary of studies investigating GM intervention and AD
| Reference | Participant/animal model | Treatment | Main findings (Exp vs. Con) |
|---|---|---|---|
| Probiotic supplement | |||
| 51 | AD patients Exp: AD patients + probiotic milk Con: AD patients + normal milk | Duration: 12 weeks Probiotic milk contained Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidum, and Lactobacillus fermentum |
|
| 54 | AD patients Exp: data after taking Omnibiotic Stress Repair Con: baseline data before probiotic treatment | Duration: 4 weeks Omnibiotic Stress Repair contained 9 strains from Lactococcus, Lactobacillus, and Bifidobacterium |
|
| 55 | Female AppNL-G-F mice Exp: AD mice + VSL#3 Con: AD mice + vehicle (water) | Duration: 8 weeks VSL#3 contained 8 strains of lactic acid-producing bacteria |
|
| 52 | Male 3xTg-AD mice Exp: AD mice + SLAB51 Con: AD mice + vehicle (water) | Duration: 4 months SLAB51 contained 9 live probiotic strains |
|
| 56 | Male ddY mice + intra-hippocampal Aβ injection Exp: AD mice + probiotic supplement/acetate Con: AD mice + vehicle (water) | Duration: starting 2 days before Aβ injection Probiotic supplement: living, heat-killed or fragmented Bifidobacterium breve A1 |
|
| 57 | Male Wistar rats + intra-hippocampal Aβ injection Exp: AD rats + probiotic supplement Con: AD rats + vehicle (water) | Duration: 8 weeks Probiotic supplement: Lactobacillus acidophilus, Lactobacillus fermentum, Bifidobacterium lactis, and Bifidobacterium longum |
|
| 58 | Male Sprague-Dawley rats Exp: (1) rats + antibiotic, (2) rats + antibiotic + probiotic Con: rats + vehicle (water) | Duration: 41 days Antibiotic: ampicillin Probiotic: Lactobacillus fermentum NS9 |
|
| Antibiotic treatment | |||
| 59 | Male APP/PS1 mice Exp: AD mice + ABX treatment Con: AD mice + vehicle (water) | Duration: post-natal day 14 to day 21 ABX contained 9 antibiotics |
|
| 60 | Male APP/PS1 mice Exp: AD mice + ABX treatment Con: AD mice + vehicle (water) | Duration: lifespan ABX contained 9 antibiotics |
|
| 61 | 5xFAD mice Exp: AD mice + ABX treatment Con: AD mice + vehicle (water) | Duration: 5 months ABX contained ampicillin, streptomycin and colistin |
|
| 62 | APPPS1-21 mice Exp: (1) male + ABX, (2) female + ABX Con: male/female + vehicle (water) | Duration: lifespan ABX contained kanamycin, gentamicin, colistin, metronidazole and vancomycin |
|
| 63 | Male 5xFAD mice Exp: AD mice + ABX treatment Con: AD mice + vehicle (water) | Duration: 2 months ABX contained vancomycin, cefoxitin, gentamicin, and metronidazol |
|
| 64 | Male APPPS1-21 mice Exp: (1) AD mice + ABX, (2) AD mice + individual ABX Con: AD mice + vehicle (water) | Duration: lifespan ABX contained kanamycin, gentamicin, colistin, metronidazole, and vancomycin |
|
| Germ-free animal | |||
| 36 | APP/PS1 mice Exp: GF AD mice Con: conventionally raised AD mice | GF mice: embryos were washed with Invitrogen and transferred to GF pseudo-pregnant mice |
|
| 65 | Female APP/PS1 mice Exp: (1) SPF AD mice, (2) GF AD mice Con: (3) SPF WT mice, (4) GF WT mice |
| |
| 63 | Male 5xFAD mice Exp: GF AD mice Con: SPF AD mice | GF mice were generated through embryo transfer |
|
| FMT and co-housing | |||
| 35 | Female ADLPAPT mice Exp: AD mice + WT FMT Con: AD mice + vehicle (water) | Duration: 16 weeks FMT: oral gavage |
|
| 36 | GF APP/PS1 mice Exp: (1) GF AD mice + AD FMT, (2) GF AD mice + WT FMT Con: GF AD mice + vehicle (water) | FMT: oral gavage |
|
| 61 | WT mice Exp: WT mice co-housed with AD mice Con: WT mice separately housed with AD mice | Duration: 7 months |
|
| 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 |
|
| 31 | Male APP/PS1 mice Exp: AD mice + WT FMT Con: AD mice + vehicle (water) | FMT: oral gavage |
|
| 32 | Male pseudo GF WT mice Exp: (1) GF mice + SAMP8 FMT, (2) GF mice + SAMP1 FMT Con: GF WT mice + vehicle (water) | Duration: 14 days FMT: oral gavage |
|
| 62 | ABX-treated male APPPS1-21 mice Exp: ABX-treated AD mice + AD FMT Con: ABX-treated AD mice + vehicle (water) | Duration: lifespan FMT: oral gavage |
|
Table 3. Summary of studies examining the impact of sleep disturbance on GM and correlation between sleep quality and bacterial taxa
| 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 males Partial SD vs. NS Location: Sweden | 16S rRNA gene seq V4 region | ↑ | Family: Coriobacteriaceae, Erysiopelotrichaceae |
| |
| 72 | 28 healthy adults PSQI for sleep measuring Location: USA | 16S rRNA gene seq V4 region | + | Genus: Prevotella | ||
| - | Family: Lachnospiraceae | |||||
| Genus: Blautia, Ruminococcus | ||||||
| 73 | 37 adults aging from 50 to 85 PSQI for sleep measuring Location: USA | 16S rRNA gene seq | - | Phylum: Verrucomicrobia, Lentisphaerae |
| |
| 74 | 22 healthy males Actiwatch for sleep measuring Location: USA | 16S rRNA gene seq V4 region | + | Family: Lachnospiraceae | ||
| Genus: Blautia, Lachnospiraceae UCG-004, Oribacterium | ||||||
| - | Genus: Lachnospiraceae ND3007 | |||||
| Animal study | ||||||
| 75 | Male C57BL/6 J mice Chronic SF vs. NS | 16S rRNA gene seq V4 region | ↑ | Family: Lachnospiraceae, Ruminococcaceae |
| |
| ↓ | Family: Lactobacillaceae, Bifidobacteriaceae | |||||
| 76 | Male C57BL/6 J mice Short SD vs. NS | 16S rRNA gene seq V3-V5 region | ↑ | Family: Lachnospiraceae |
| |
| Genus: Moryella | ||||||
| ↓ | Genus: Oxobacter | |||||
| 77 | Male Wistar-Kyoto rats SF vs. NS | 16S rRNA gene seq V4 region | ↑ | Genus: Escherichia, Shigella, Enterococcus, Lachnospiraceae UCG-008 |
| |
| ↓ | Genus: Butyrivibrio, Oscillospira, Eubacterium, Dorea | |||||
| Species: Eubacterium ruminantium | ||||||
| 78 | Male C57BL/6 N mice SD vs. NS | 16S rRNA gene seq V4 region | ↓ | Family: Bifidobacteriaceae, Lactobacillaceae, Turicibacteraceae |
| |
| Genus: Bifidobacterium, Lactobacillus, Turicibacter | ||||||
| 79 | Sprague Dawley rats Acute SF (ASF) vs. NS Chronic SF (CSF) vs. NS | Distal ileum (D), cecum (C), and proximal colon (P) samples 16S rRNA gene seq | ASF | ↑ | Family: Enterobacteriaceae (D), S24-7 (D), Ruminococcaceae (C) |
|
| Genus: Oscillospira (C), Bacteroides (C), Prevotella (C) | ||||||
| ↓ | Family: Lactobacillaceae (D) | |||||
| Genus: Lactobacillus (P) | ||||||
| CSF | ↑ | Family: Staphylococcaceae (D), Clostridiaceae (D)(P), Erysipelotrichaceae (P), Ruminococcaceae (P) | ||||
| Genus: Prevotella (P), Clostridium (P) | ||||||
| ↓ | Family: Lactobacillaceae (D) | |||||
| 80 | Male Wistar rats Paradoxical SD vs. NS | 16S rRNA gene seq | ↑ | Genus: Parabacteroides, Ruminococcus, Aggregatibacter, Phascolarctobacterium |
| |
| ↓ | Genus: Akkermansia, Oscillospira |
Table 4. Summary of research studying the impact of circadian rhythm disruption on GM
| Reference | Participant/animal model | GM profiling method | GM alterations by circadian rhythm disruption | Other major findings | ||
|---|---|---|---|---|---|---|
| Human study | ||||||
| 87 | 10 healthy males Night shift vs. day shift Location: Turkey | 16S rRNA gene seq | ↑ | Family: Coriobacteriaceae, Erysipelotrichaceae, Prevotellaceae, Lachnospiraceae | ||
| Genus: Dorea, Coprococcus | ||||||
| Species: Ruminococcus torques, Ruminococcus gauvreauii | ||||||
| ↓ | Species: Faecalibacterium prausnitzii | |||||
| 68 | 2 healthy individuals After jet lag vs. before jet lag | 16S rRNA gene seq V1-V2 region | ↑ | Phylum: Firmicutes |
| |
| ↓ | Phylum: Bacteroidetes | |||||
| 88 | 22 healthy adults Acute sleep-wake cycle shift After shift vs. before shift Location: China | 16S rRNA gene seq V4 region | ↑ | Family: Pasteurellaceae, Fusobacteriaceae |
| |
| Genus: Dialister, Escherichia, Shigella | ||||||
| ↓ | Family: Peptostreptococcacea, Desulfovibrionaceae | |||||
| Genus: Ruminococcaceae UCG-013 | ||||||
| Animal study | ||||||
| 89 | Male C57BL/6 J mice Inverted light (IN) vs. LD | 16S rRNA gene seq V4 region | ↑ | Genus: Barnesiella, Clostridium, Lactobacillus |
| |
| ↓ | Genus: Turicibacter | |||||
| 90 | Male C57BL/6 J mice LL vs. LD | 16S rRNA gene seq | ↑ | Species: Ruminococcus torques |
| |
| ↓ | Genus: Subdoligranulum | |||||
| Species: Lactobacillus johnsonii, Eubacterium plexicaudatum | ||||||
| 91 | Male rats LL vs. LD DD vs. LD | 16S rRNA gene seq V3-V4 region | LL | ↑ | Family: Erysiopelotrichaceae, Bacteroidaceae, Prevotellaceae, Lactobacillaceae |
|
| Genus: Blautia, Prevotella, Lactobacillus, Faecalibacterium | ||||||
| ↓ | Family: Ruminococcaceae, Porphyromonadaceae | |||||
| Genus: Parabacteroides | ||||||
| DD | ↑ | Family: Erysiopelotrichaceae, Prevotellaceae, Lactobacillaceae |
| |||
| Genus: Blautia, Prevotella, Lactobacillus, Faecalibacterium | ||||||
| ↓ | Family: Ruminococcaceae, Porphyromonadaceae | |||||
| Genus: Parabacteroides, Bacteroides, Ruminococcus | ||||||
| 68 | WT mice Jet lag vs. LD | 16S rRNA gene seq V1-V2 region | ↑ | Family: Prevotellaceae, Rikenellaceae |
| |
| ↓ | Family: Christensenellaceae, Anaeroplasmataceae | |||||
| Genus: Lactococcus, Dorea, Lactobacillus, Ruminococus |
Table 5. Summary of the trend of GM alteration in AD and SCRD
| Implication in health and disease | Taxonomic level | Trend of GM alteration | ||||
|---|---|---|---|---|---|---|
| Family | Genus/Species | AD | SD | CRD | ||
| Human study | ||||||
| Beneficial bacteria | Producing SCFAs Promoting mucin expression Anti-inflammatory | Akkermansiaceae | Akkermansia | // | N/A | N/A |
| Inhibiting inflammation and infection | Bacteroidaceae | Bacteroides fragilis (NTBF) | ↓(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 butyrate Anti-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 butyrate Anti-inflammatory | Ruminococcaceae | Faecalibacterium | ↓(F**) | N/A | ↓(G*) | |
| Producing SCFAs | Ruminococcus | ↓(G*) | N/A | |||
| Controversial taxa | Producing propionate Degrading mucin Increasing 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 exotoxin Damaging gut barrier Pro-inflammatory | Enterobacteriaceae | Escherichia | ↑(F*, G*) | N/A | ↑(G*) | |
| Shigella | ↑(F*, G*) | N/A | ↑(G*) | |||
| Highly immunogenic Pro-inflammatory | Erysiopelotrichaceae | ↑(F*) | ↑(F*) | ↑(F*) | ||
| Prevotellaceae | Prevotella | N/A | ↑(G*) | ↑(F*) | ||
| Animal study | ||||||
| Beneficial bacteria | Producing SCFAs Promoting mucin expression Anti-inflammatory | Akkermansiaceae | Akkermansia | // | ↓(G*) | N/A |
| Inhibiting inflammation and infection | Bifidobacteriaceae | Bifidobacterium | ↓(G*) | ↓(F**, G*) | N/A | |
| Producing butyrate Anti-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 propionate Degrading mucin Increasing gut permeability | Lachnospiraceae | Dorea | // | ↑(F***) | // |
| Ruminococcus torques | N/A | N/A | ↑(S*) | |||
| Pathobionts | Producing LPS, bacteria Aβ, and exotoxin Damaging gut barrier Pro-inflammatory | Enterobacteriaceae | Escherichia | ↑(F*) | ↑(F*, G*) | N/A |
| Shigella | ↑(F*, G*) | N/A | ||||
| Highly immunogenic Pro-inflammatory | Erysiopelotrichaceae | ↑(F**) | ↑(F*) | ↑(F**) | ||
| Prevotellaceae | Prevotella | // | ↑(G**) | ↑(F***, G**) | ||
| Producing bacterial Aβ and toxin Pro-inflammatory | Staphylococcaceae | Staphylococcus | ↑(F**, G**) | ↑(F*) | N/A |

Figure 2. 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. Escherichia and Shigella of 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-inflammatory Eubacterium and SCFA-producing Ruminococcus were decreased in AD. Two probiotic taxa Lactobacillus and Bifidobacterium have been proven to restore cognitive function and ameliorate Aβ pathology in AD animals
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.[41] E. 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.[28] Lactobacillus 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.[48] Lactobacillus 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]
GM interventions restore the progression of AD
As stated above, most studies focusing on GM and AD presented correlations but not causal relationships. While it remains an open question in the field,[53] several studies have begun to demonstrate how GM affect AD pathology by showing the beneficial effects through GM intervention in animal models, including probiotic supplement,[51],[52],[54–58] antibiotic treatment,[59–64] germ-free (GF) animals[36],[63],[65] and fecal microbiota transplantation (FMT).[31],[32],[35],[36],[61],[62] These successful trials support the role of GM dysbiosis in contributing to AD pathogenesis and progression and suggest potential benefits of GM modulation for AD treatment (Table 2) (Figure 3).

Figure 3. GM intervention studies in AD animal models. (a) Probiotic supplement study: AD mice feed with probiotic strains of Lactobacillus and Bifidobacterium showed 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
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.[93] Ruminococcus 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
As shown in the previous parts, GM alterations were observed in AD, sleep and circadian disruption, respectively. Reports have also indicated that GM alterations might contribute to AD pathogenesis.[98],[99] Studies which have been reviewed elsewhere have shown that SCRD was associated with greater Aβ burden and AD risk, sometimes decades before the clinical onset of AD.[16] Therefore, we hypothesize that the interactions between SCRD and GM lead to GM dysbiosis indirectly; as a consequence, chronic systematic and neuro-inflammation and Aβ deposition occur, together with a plethora of metabolic and immunogenic responses that may finally contribute to the onset of AD (Figure 4).

Figure 4. 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
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]
Finally, we evaluate the specific roles of each individual bacteria and its potential contributions to health and disease. Intriguingly, dysfunctions mediated by the GM alterations are ideally unanimous in AD and SCRD conditions. Both AD and SCRD are associated with more abundant pathobionts leading to pro-inflammation and lower SCFAs, and less level of anti-inflammatory, SCFA-producing, and gut barrier-protecting bacteria (beneficial bacteria) (Table 5). These analyses demonstrate that GM dysbiosis caused by SCRD is largely consistent with the ones in AD, supporting our hypothesis that SCRD may contribute to AD partially by impacting on GM (Figure 5).

Figure 5. 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.
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