Cited by 371Gut microbiota and healthGenetics, Aging, and Longevity in Model OrganismsGastrointestinal motility and disorders

The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index; 12 of the 112 sources its claims cite were checked for support.

Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain

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Abstract

Background: Altered intestinal microbiota composition in later life is associated with inflammaging, declining tissue function, and increased susceptibility to age-associated chronic diseases, including neurodegenerative dementias. Here, we tested the hypothesis that manipulating the intestinal microbiota influences the development of major comorbidities associated with aging and, in particular, inflammation affecting the brain and retina. Methods: Using fecal microbiota transplantation, we exchanged the intestinal microbiota of young (3 months), old (18 months), and aged (24 months) mice. Whole metagenomic shotgun sequencing and metabolomics were used to develop a custom analysis workflow, to analyze the changes in gut microbiota composition and metabolic potential. Effects of age and microbiota transfer on the gut barrier, retina, and brain were assessed using protein assays, immunohistology, and behavioral testing. Results: We show that microbiota composition profiles and key species enriched in young or aged mice are successfully transferred by FMT between young and aged mice and that FMT modulates resulting metabolic pathway profiles. The transfer of aged donor microbiota into young mice accelerates age-associated central nervous system (CNS) inflammation, retinal inflammation, and cytokine signaling and promotes loss of key functional protein in the eye, effects which are coincident with increased intestinal barrier permeability. Conversely, these detrimental effects can be reversed by the transfer of young donor microbiota. Conclusions: These findings demonstrate that the aging gut microbiota drives detrimental changes in the gut–brain and gut–retina axes suggesting that microbial modulation may be of therapeutic benefit in preventing inflammation-related tissue decline in later life. Graphical abstract:

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TL;DR

Heterochronic fecal microbiota transfer (FMT) between young (3-month), old (18-month), and aged (24-month) C57BL/6 mice showed that aged donor microbiota transferred into young mice increased CNS microglial activation, retinal inflammation, and intestinal barrier permeability, while young donor microbiota transferred into aged mice reversed these changes. The findings support a causal role for the aging gut microbiota in gut–brain and gut–retina axes.

Key findings

  • FMT shifted recipient microbiota toward donor-age profiles: aged donor microbiota into young mice enriched *Prevotella* sp. MGM2, *Lactobacillus intestinalis*, and *L. johnsonii*; young donor microbiota into aged mice enriched *Bifidobacterium animalis*, *Akkermansia muciniphila*, *Eubacterium* sp14–2, and *T. muris*. Time point accounted for 50% of data variance (R²adj = 50%; permutational ANOVA on dbRDA F = 55.8, df = 3, P < .01).
  • Aged donor FMT into young mice increased Iba-1+ microglia in cortex and corpus callosum to aged-like levels; young donor FMT into aged mice decreased them. Baseline PBS young vs. aged: cortex P = .005, corpus callosum P < .001.
  • In retina, aged donor FMT into young mice increased complement C3 at the RPE/BM interface, while young donor FMT into aged mice reduced C3 and restored RPE65 to young-like levels; young donor FMT into aged mice reduced retinal CCL11, CXCL11, and IL-1β and most increased IL-13.
  • Barrier/systemic markers: serum I-FABP increased ∼30% in young mice receiving aged donor microbiota and decreased ∼30% in aged mice receiving young donor microbiota; LBP was approximately two times higher in aged than young mice and moved toward donor-age levels after FMT; serum IL-6 was approximately twice as high in young mice receiving aged donor microbiota; intestinal TNF was reduced by around 40% in aged mice receiving young donor microbiota. Y-maze and novel object recognition showed no significant improvement in aged mice receiving young donor microbiota.

Methods

  • Male C57BL/6J mice aged 3, 18, or 24 months from the same colony were antibiotic-depleted, then received heterochronic or coeval FMT via oral gavage and soiled bedding; controls received PBS or antibiotics only. Fecal pellets were collected at Pre-Abx, Post-Abx, Post-FMT (7 days), and end (18 days).
  • Whole metagenomic shotgun sequencing (MetaPhlAn3, HUMAnN3), 1H-NMR fecal metabolomics, ELISAs/Luminex, immunohistology for Iba-1, complement C3, and RPE65, retinal cytokine array, and Y-maze/novel object recognition were used. Analyses included linear mixed models, PERMANOVA/dbRDA, PLS-DA, and Kruskal–Wallis tests.
  • Sample sizes included groups of seven mice sub-housed as three or four; Iba-1 counts n = 5–7 mice/group; retinal staining n = 5 mice/group; retinal cytokine array n = 8 mice/group; behavior n = 10 aged FMT, n = 10 aged control, n = 11 young baseline.

Limitations

  • Stated: the old (18-month) group had inter-individual variation and did not form a discrete cluster, so further metagenomic analysis focused on young and aged mice; limited availability of 24-month mice meant only heterochronic FMT and no-transfer controls were possible for that age group.
  • Stated: by 18 days post-FMT, transplanted microbiota more closely resembled baseline pre-antibiotic profiles (Procrustes correlation = 25%, P = .05), raising questions about long-term persistence; behavioral tests showed no significant improvement; procedures were optimized for the bacterial fraction, so fungal, viral, and archaeal contributions cannot be excluded; antibiotics may penetrate the blood–brain barrier and theoretically affect microglial reactivity; and it is difficult to distinguish changes in microglial cell number from changes in Iba-1 expression.
  • Evident from design: the endpoint was short-term (18 days), no germ-free or single-species colonization experiments were performed, and extrapolation to elderly humans would require comparable FMT studies.

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Registry

Crossref · 10.1186/s40168-022-01243-w

Cites

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Figures

Fig. 1 Experimental Overview. A Mouse grouping and B microbiota transfer timeline overview. Young (3 m, blue), old (18 m, white), or aged (24 m, orange) SPF C57BL/6 males were randomly allocated to experimental cages by age group 2 weeks before the start of the experiment. Existing microbiota were depleted by a 3-day antibiotic cocktail (Abx; oral gavage and drinking water). Post-antibiotic washout, recipients were rehoused in donor cages containing soiled bedding and fecal pellets and were twice delivered donor microbiota by oral gavage of fecal slurry preparation from 3-, 18-, or 24-month-old donors. Antibiotic-only groups were returned to their home cage and received no FMT
Fig. 1 Experimental Overview. A Mouse grouping and B microbiota transfer timeline overview. Young (3 m, blue), old (18 m, white), or aged (24 m, orange) SPF C57BL/6 males were randomly allocated to experimental cages by age group 2 weeks before the start of the experiment. Existing microbiota were depleted by a 3-day antibiotic cocktail (Abx; oral gavage and drinking water). Post-antibiotic washout, recipients were rehoused in donor cages containing soiled bedding and fecal pellets and were twice delivered donor microbiota by oral gavage of fecal slurry preparation from 3-, 18-, or 24-month-old donors. Antibiotic-only groups were returned to their home cage and received no FMTCC BY · PubMed Central
Fig. 2 Inflammatory (Iba-1+) microglia density in cortex and corpus callosum is regulated by the intestinal microbiota. A Iba-1+ microglia were identified by immunostaining (red), nuclei counterstained with Hoechst (blue), and quantified in the cortex and corpus callosum (highlighted in cartoons) of sagittal mouse brain sections from all groups of mice. B Quantification of Iba-1+ cells in the cortex, average count across 3 regions of interest (ROI) from each of 4–7 mice per group from all groups. C Quantification of Iba-1+ cells in the corpus callosum, an average of 3 regions of interest from each of 4–7 mice per group from all groups. Statistical analysis between the groups of interest by Welch’s t test; error bars denote 95% CI. Significant values are in bold. D Representative immunostaining of Iba-1+ cells in the cortex of young, old, and aged mice, either treated with PBS only, treated with antibiotics only, or with antibiotics followed by FMT from young, old, or aged donors (see also Fig. S1)
Fig. 2 Inflammatory (Iba-1+) microglia density in cortex and corpus callosum is regulated by the intestinal microbiota. A Iba-1+ microglia were identified by immunostaining (red), nuclei counterstained with Hoechst (blue), and quantified in the cortex and corpus callosum (highlighted in cartoons) of sagittal mouse brain sections from all groups of mice. B Quantification of Iba-1+ cells in the cortex, average count across 3 regions of interest (ROI) from each of 4–7 mice per group from all groups. C Quantification of Iba-1+ cells in the corpus callosum, an average of 3 regions of interest from each of 4–7 mice per group from all groups. Statistical analysis between the groups of interest by Welch’s t test; error bars denote 95% CI. Significant values are in bold. D Representative immunostaining of Iba-1+ cells in the cortex of young, old, and aged mice, either treated with PBS only, treated with antibiotics only, or with antibiotics followed by FMT from young, old, or aged donors (see also Fig. S1)CC BY · PubMed Central
Fig. 3 Heterochronic microbiota transfer reverses age-associated retinal inflammation and functional visual protein expression. A Immunostaining of complement C3 (green) in the cross-sections of the retinal pigment epithelium (RPE)/Bruch’s membrane (BM) interface from mice receiving PBS vs. heterochronic FMT. B Quantification of the average complement C3 staining pixel intensity (PI) per area (1280 μm2) at the RPE/BM interface in young, old, or aged PBS-treated mice vs. heterochronic FMT (n = 5 mice/group). C Immunostaining (RPE65, red; nuclei DAPI, blue) and quantification (D) of the crucial visual cycle protein RPE65 in the cross-sections of the RPE/BM interface from untreated mice vs. mice receiving heterochronic FMT, n = 5 mice/group. Statistical comparison between ages and between the FMT and PBS groups by Welch’s t test. E Percentage change in the expression of retinal lysate cytokine levels in aged mice receiving young donor FMT
Fig. 3 Heterochronic microbiota transfer reverses age-associated retinal inflammation and functional visual protein expression. A Immunostaining of complement C3 (green) in the cross-sections of the retinal pigment epithelium (RPE)/Bruch’s membrane (BM) interface from mice receiving PBS vs. heterochronic FMT. B Quantification of the average complement C3 staining pixel intensity (PI) per area (1280 μm2) at the RPE/BM interface in young, old, or aged PBS-treated mice vs. heterochronic FMT (n = 5 mice/group). C Immunostaining (RPE65, red; nuclei DAPI, blue) and quantification (D) of the crucial visual cycle protein RPE65 in the cross-sections of the RPE/BM interface from untreated mice vs. mice receiving heterochronic FMT, n = 5 mice/group. Statistical comparison between ages and between the FMT and PBS groups by Welch’s t test. E Percentage change in the expression of retinal lysate cytokine levels in aged mice receiving young donor FMTCC BY · PubMed Central
Fig. 4 Heterochronic FMT reverses age-associated breakdown of epithelial barrier integrity and systemic inflammation. A ELISA analysis of serum intestinal fatty acid-binding protein (I-FABP) in young and aged mice (n = 6–8/group) before and after heterochronic FMT. B ELISA analysis of serum lipopolysaccharide-binding protein (n = 8/group). C Serum levels of IL-6 were analyzed by multiplex magnetic bead assay (Luminex) (n = 5/group). D TNF levels in small intestinal tissue lysates as measured by specific ELISA (n = 5–8/group). Statistical comparison between ages and between FMT and PBS groups by Welch’s t test; error bars denote 95% CI; significant results in bold black text
Fig. 4 Heterochronic FMT reverses age-associated breakdown of epithelial barrier integrity and systemic inflammation. A ELISA analysis of serum intestinal fatty acid-binding protein (I-FABP) in young and aged mice (n = 6–8/group) before and after heterochronic FMT. B ELISA analysis of serum lipopolysaccharide-binding protein (n = 8/group). C Serum levels of IL-6 were analyzed by multiplex magnetic bead assay (Luminex) (n = 5/group). D TNF levels in small intestinal tissue lysates as measured by specific ELISA (n = 5–8/group). Statistical comparison between ages and between FMT and PBS groups by Welch’s t test; error bars denote 95% CI; significant results in bold black textCC BY · PubMed Central
Fig. 5 Fecal microbiota structure pre- and post-FMT. A PCoA showing clustering of fecal microbiota samples from young (blue), old (white), and aged (orange) mice pre-antibiotic treatment (Pre-Abx) overlaid with species driving the clustering. B Significantly enriched species in aged mice (orange bars, n = 8) vs. young mice (blue bars, n = 7) pre-antibiotic treatment (Pre-Abx); the results are displayed as the mean difference in centered log ratio, CLR, and SE. C PCoA (Bray–Curtis) depicting clustering of all mice from all age and treatment groups pre- (yellow) and post- (green) antibiotic treatment, post-FMT (magenta), and at the end of the experiment (“End,” gray). D PCoA (Bray–Curtis) depicting clustering of all mice from all age and treatment groups, colored by age group, young in blue markers, old in white/black markers, and aged in orange markers (see also Fig. S2)
Fig. 5 Fecal microbiota structure pre- and post-FMT. A PCoA showing clustering of fecal microbiota samples from young (blue), old (white), and aged (orange) mice pre-antibiotic treatment (Pre-Abx) overlaid with species driving the clustering. B Significantly enriched species in aged mice (orange bars, n = 8) vs. young mice (blue bars, n = 7) pre-antibiotic treatment (Pre-Abx); the results are displayed as the mean difference in centered log ratio, CLR, and SE. C PCoA (Bray–Curtis) depicting clustering of all mice from all age and treatment groups pre- (yellow) and post- (green) antibiotic treatment, post-FMT (magenta), and at the end of the experiment (“End,” gray). D PCoA (Bray–Curtis) depicting clustering of all mice from all age and treatment groups, colored by age group, young in blue markers, old in white/black markers, and aged in orange markers (see also Fig. S2)CC BY · PubMed Central
Fig. 6 Donor-derived species define the fecal microbiota composition of FMT recipients. A PCoA showing clustering of fecal microbiota samples from young and aged mice Pre–Abx (green) and post-FMT (orange), and overlaid with species driving the clustering. B Differential abundance analysis (results displayed as the mean difference in centered log ratio, CLR, and SE) of enriched species post-heterochronic transfer (Post-FMT) vs. pre-transfer (Pre–Abx) in young and aged mice. Family abundance, young mice receiving coeval transfer, and antibiotic-only groups shown in Fig. S3
Fig. 6 Donor-derived species define the fecal microbiota composition of FMT recipients. A PCoA showing clustering of fecal microbiota samples from young and aged mice Pre–Abx (green) and post-FMT (orange), and overlaid with species driving the clustering. B Differential abundance analysis (results displayed as the mean difference in centered log ratio, CLR, and SE) of enriched species post-heterochronic transfer (Post-FMT) vs. pre-transfer (Pre–Abx) in young and aged mice. Family abundance, young mice receiving coeval transfer, and antibiotic-only groups shown in Fig. S3CC BY · PubMed Central
Fig. 7 Heterochronic transfer alters lipid and vitamin metabolism. A Selected lipid metabolism pathways significantly enriched or depleted in young and aged mice following heterochronic FMT. B Other selected pathways, which were significantly enriched or depleted in aged mice receiving young FMT. The results are displayed as the mean difference in centered log ratio (CLR); error bars denote standard error. Boxplots depict log2 transformed relative abundance of individual pathways
Fig. 7 Heterochronic transfer alters lipid and vitamin metabolism. A Selected lipid metabolism pathways significantly enriched or depleted in young and aged mice following heterochronic FMT. B Other selected pathways, which were significantly enriched or depleted in aged mice receiving young FMT. The results are displayed as the mean difference in centered log ratio (CLR); error bars denote standard error. Boxplots depict log2 transformed relative abundance of individual pathwaysCC BY · PubMed Central

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  • It may state two separate claims as one. 43
  • Probably not a substantial claim. 38
70 of 70
  • The paper relies on this without support.

    Findings in mice can be translated to humans for therapeutic benefit in later life.

    “suggesting that microbial modulation may be of therapeutic benefit in preventing inflammation-related tissue decline in later life”
  • The paper relies on this without support.

    The 3-, 18-, and 24-month-old mice model human aging stages relevant to inflammaging and age-associated tissue decline.

    “we used young (3 months), old (18 months), and aged (24 months) mice”
  • The paper relies on this without support.

    During aging, the intestinal microbiota undergoes changes in community structure and function, with elderly individuals showing altered taxa proportions, increased inter-individual variability, and altered diversity.

    “During aging, the intestinal microbiota undergoes changes in the community structure and function, with samples from elderly individuals showing changes in the proportions of different taxa, increased inter-individual variability, and altered diversity.”
  • The authors state this as an assumption.

    Whether age-associated changes in the diversity, composition, or function of the gut microbiota are causal in disease etiology remains largely unknown.

    “However, whether age-associated changes in the diversity, composition, or function of the gut microbiota are causal in disease etiology remains largely unknown.”
  • The paper relies on this without support.

    Altered intestinal microbiota composition in old age is associated with chronic low-grade inflammation and increasing susceptibility to age-associated chronic diseases.

    “Altered intestinal microbiota composition in old age is associated with chronic low-grade inflammation and increasing susceptibility to age-associated chronic diseases.”
  • The paper relies on this without support.

    Inflammaging and pathological inflammation in the CNS have been associated with loss of intestinal epithelial barrier integrity, so-called leaky gut.

    “Inflammaging and pathological inflammation in the CNS have been associated with loss of intestinal epithelial barrier integrity, so-called leaky gut.”
  • The authors state this as an assumption.

    It is unclear whether age and absolute numbers of activated microglia in different regions of the brain are positively associated.

    “However, it is unclear whether age and absolute numbers of activated microglia in different regions of the brain are positively associated.”
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  1. Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, Mcglinn D, et al. Package ‘vegan’ title community ecology package version 2.5-7; 2020.

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Metadata

Authors
Parker, A., Romano, S., Ansorge, R., Aboelnour, A., Le Gall, G., Savva, G. M., Pontifex, M. G., Telatin, A., Baker, D., Jones, E., Vauzour, D., Rudder, S., Blackshaw, L. A., Jeffery, G., & Carding, S. R.
Affiliations
  • Quadram Institute (GB)
  • University College London (GB)
  • University of East Anglia (GB)
Corresponding author
Parker, Aimée
Venue
Microbiome
Published
2022-04-29
Volume
10
Issue
1
Pages
68-68
ISSN
2049-2618 (ISSN-L)
OpenAlex
W4225316232
Cited by
368
References
129
Citations by year
2026: 90 · 2025: 91 · 2024: 96 · 2023: 66 · 2022: 25
FWCI
22.99
Type
journal article
Language
en
Open access
Locations
  • Microbiome (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UEA Digital Repository (University of East Anglia) (acceptedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Biotechnology and Biological Sciences Research Council
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
fecal microbiota transplantation, aging, gut microbiota, inflammaging, gut-brain axis, gut-retina axis, retinal inflammation, neuroinflammation, intestinal permeability, cytokine signaling, neurodegeneration
MeSH terms
Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Aging, Animals, Brain, Inflammation, Mice

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