Evidence map›Paper›PMID 35400171›Full record

SynthesismSystems2022

Murine Gut Microbiome Meta-analysis Reveals Alterations in Carbohydrate Metabolism in Response to Aging.

Xiaomeng You, Ushashi C Dadwal, Marc E Lenburg, Melissa A Kacena, Julia F Charles

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 27 citations in OpenAlex.

  1. Oral Astilbin Nanogels Modulate Senescence-Associated CD4Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Nutrients · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Xiaomeng YouDepartment of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-2132-1404
Ushashi C DadwalOrthopaedic Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Marc E LenburgDepartment of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Melissa A KacenaOrthopaedic Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Julia F CharlesDepartment of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USIndiana University School of MedicineBoston University · US

Funding

Joint Biology Consortium Resource-based CenterP30AR070253 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter A Nigrovic, Jeffrey Andrew Sparks · 2016 to 2026
$9.4M
Comprehensive Training Program in Musculoskeletal ResearchT32AR065971 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ALEXANDER G ROBLING · 2015 to 2026
$4.4M
Angiogenic Therapy: Novel Approaches to Enhance Bone Regeneration in Aging - LOADR01AG060621 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KACENA, MELISSA A, LI, JILIANG · 2019 to 2023
$3.7M
Myeloid precursors and the microbiome in the osteoimmunology of agingR01AG046257 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHARLES, JULIA F · 2013 to 2017
$1.1M
A megakaryocyte/PGE2/osteoblast triad in the normal and aged nicheR01AG046246 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KACENA, MELISSA A, PELUS, LOUIS M · 2013 to 2017
$1.1M
NIAMS NIH HHS P30 AR070253NIAMS NIH HHS T32 AR065971NIA NIH HHS R01 AG046246NIA NIH HHS R01 AG046257NIA NIH HHS R01 AG060621
6 · The paper itself

Abstract

Compositional and functional alterations to the gut microbiota during aging are hypothesized to potentially impact our health. Thus, determining aging-specific gut microbiome alterations is critical for developing microbiome-based strategies to improve health and promote longevity in the elderly. In this study, we performed a meta-analysis of publicly available 16S rRNA gene sequencing data from studies investigating the effect of aging on the gut microbiome in mice. Aging reproducibly increased gut microbial alpha diversity and shifted the microbial community structure in mice. We applied the bioinformatic tool PICRUSt2 to predict microbial metagenome function and established a random forest classifier to differentiate between microbial communities from young and old hosts and to identify aging-specific metabolic features. In independent validation data sets, this classifier achieved an area under the receiver operating characteristic curve (AUC) of 0.75 to 0.97 in differentiating microbiomes from young and old hosts. We found that 50% of the most important predicted aging-specific metabolic features were involved in carbohydrate metabolism. Furthermore, fecal short-chain fatty acid (SCFA) concentrations were significantly decreased in old mice, and the expression of the SCFA receptor

Indexed as

Gastrointestinal MicrobiomeAgingAnimalsCarbohydrate MetabolismFatty Acids, VolatileMiceRNA, Ribosomal, 16SFatty Acids, VolatileRNA, Ribosomal, 16Sagingcarbon metabolismmeta-analysismurine gut microbiome

Identifiers

PMID35400171
PMCPMC9040766
OpenAlexW4223553726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.