Gut Microbiota Affects Age-Related Plasma Metabolites.

Jayanta K Das, Chee W Chia, Qu Tian, Angelina Angelova, Luigi Ferrucci, Toshiko Tanaka

Abstract read

In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jayanta K DasLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.

Chee W ChiaLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0003-3218-0141

Qu TianLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0003-2706-1439

Angelina AngelovaBioinformatics and Computational Biosciences Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0003-2923-0072

Luigi FerrucciLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.

Toshiko TanakaLongitudinal Studies Section, Translation Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0002-4161-3829

Funding

Intramural Research Program of the National Institutes of Health ZIA AG000997-10

6 · The paper itself

Abstract

Older age is a well-established risk factor for many chronic diseases, yet the biological mechanisms underlying this increased risk are not fully understood. Both gut microbiome composition and the plasma metabolome change with age and may help explain how aging influences disease susceptibility. In this study, we examined the associations between age-related gut microbiota and metabolomic biomarkers in participants of the Baltimore Longitudinal Study of Aging (BLSA), covering a broad age range (27-98 years; 55% female). At the phylum level, we identified four age-associated phyla: Firmicutes, which was negatively associated with age, and Proteobacteria, Euryarchaeota, and Verrucomicrobia, which were positively associated with age. At the genus level, six genera-

Indexed as

aginggut-microbiotahumanplasma metabolite

Identifiers

PMID41900362

DOI10.3390/microorganisms14030602

PMCPMC13028618

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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.