Evidence map›Paper›PMID 29869736›Full record

ArticleGeroScience2018

Composition and richness of the serum microbiome differ by age and link to systemic inflammation.

Thomas W Buford, Christy S Carter, William J VanDerPol, Dongquan Chen, Elliot J Lefkowitz, Peter Eipers, Casey D Morrow, Marcas M Bamman

Abstract read
In one paragraph

Article in GeroScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. The gut microbiome, chronic kidney disease, and sarcopenia.Cell communication and signaling : CCS · 2024
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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

8 authors.

Thomas W BufordDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA. twbuford@uabmc.edu.ORCID 0000-0002-9541-4358
Christy S CarterDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
William J VanDerPolBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Dongquan ChenBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Elliot J LefkowitzBiomedical Informatics, Center for Clinical and Translational Sciences, University of Alabama at Birmingham, Birmingham, AL, USA.
Peter EipersDepartment of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Casey D MorrowDepartment of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Marcas M BammanDepartment of Cell, Developmental, and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Rehabilitation Research Resource to Enhance Clinical Trials (ReACT)P2CHD086851 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2015 to 2019
$7.1M
MUSCLE PLASTICITY TRAINING /DETRAINING IN OLDER ADULTSR01AG017896 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BAMMAN, MARCAS M · 2001 to 2011
$2.6M
ACE2 AS A NOVEL THERAPEUTIC TO PRESERVE PHYSICAL FUNCTION IN LATE LIFE (Supplement 2)R01AG054538 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BUFORD, THOMAS W, CARTER, CHRISTY SHAWN · 2017 to 2021
$1.8M
National Center for Medical Rehabilitation Research P2CHD086851NCATS NIH HHS UL1 TR001417NCI NIH HHS P30 CA013148NIA NIH HHS P30 AG028740NIA NIH HHS R01 AG017896NIA NIH HHS R01AG017896NIA NIH HHS R01 AG054538NIA NIH HHS R01AG054538NICHD NIH HHS P2C HD086851NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Advanced age has been associated with alterations to the microbiome within the intestinal tract as well as intestinal permeability (i.e., "leaky gut"). Prior studies suggest that intestinal permeability may contribute to increases in systemic inflammation-an aging hallmark-possibly via microorganisms entering the circulation. Yet, no studies exist describing the state of the circulating microbiome among older persons. To compare microbiota profiles in serum between healthy young (20-35 years, n = 24) and older adults (60-75 years, n = 24) as well as associations between differential microbial populations and prominent indices of age-related inflammation. Unweighted Unifrac analysis, a measure of β-diversity, revealed that microbial communities clustered differently between young and older adults. Several measures of α-diversity, including chao1 (p = 0.001), observed species (p = 0.001), and phylogenetic diversity (p = 0.002) differed between young and older adults. After correction for false discovery rate (FDR), age groups differed (all p values ≤ 0.016) in the relative abundance of the phyla Bacteroidetes, SR1, Spirochaetes, Bacteria_Other, TM7, and Tenericutes. Significant positive correlations (p values ≤ 0.017 after FDR correction) were observed between IGF1 and Bacteroidetes (ρ = 0.380), Spirochaetes (ρ = 0.528), SR1 (ρ = 0.410), and TM7 (ρ = 0.399). Significant inverse correlations were observed for IL6 with Bacteroidetes (ρ = - 0.398) and TM7 (ρ = - 0.423), as well as for TNFα with Bacteroidetes (ρ = - 0.344). Similar findings were observed at the class taxon. These data are the first to demonstrate that the richness and composition of the serum microbiome differ between young and older adults and that these factors are linked to indices of age-related inflammation.

Indexed as

MicrobiotaAdultAgedAge FactorsDNA, BacterialFemaleHumansInflammationInsulin-Like Growth Factor IInterleukin-6MaleMiddle AgedTumor Necrosis Factor-alphaYoung AdultDNA, BacterialInsulin-Like Growth Factor IInterleukin-6Tumor Necrosis Factor-alphaAgingInflammationLeaky gutMicrobiomeMicrobiota

Identifiers

PMID29869736
PMCPMC6060185

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Registered trials

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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.