Evidence map›Paper›PMID 42959374›Full record

ReviewFrontiers in nutrition2026

Gut microbial metabolism in aging: from metabolite production to organ-specific immunometabolic effects.

Zhen Wang, Yang Liu

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 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

2 authors.

Zhen WangGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Yang LiuDepartment of Critical Care Medicine, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related changes in gut microbiota metabolism are heterogeneous across populations and pathways, and their relationships with immunometabolism and organ phenotypes should be interpreted in the context of health status and disease. Microbial abundance or the concentration of a single metabolite does not, by itself, capture microbial production, host exposure, or effects in target tissues. This narrative review summarizes upstream influences, including gastrointestinal physiology, dietary substrates, comorbidities, and medications, and discusses the origins and host processing of major metabolites, their immunometabolic effects, and associated organ phenotypes. Studies in some older populations report lower fecal short-chain fatty acid concentrations. Microbiota-derived indole derivatives and host-synthesized, microbiota-modified bile acids show molecule- and population-specific patterns. Circulating concentrations of some host-microbe co-metabolites are higher in selected older or disease populations, but are also shaped by host biotransformation and clearance. Human evidence is predominantly observational and links metabolic features to health status or clinical phenotypes, whereas animal and cell studies support effects on barrier function, inflammation, and cellular metabolism under specific experimental conditions. Personalized nutrition, metabolite supplementation, selective targeting of microbial enzymes, and multi-omics-based responder stratification are promising research directions; prospective evidence that these strategies improve functional outcomes in older adults remains limited.

Indexed as

aginggut microbiotagut-organ axisimmunometabolisminflammagingmicrobial metabolitespersonalized nutrition

Identifiers

PMID42959374
PMCPMC13716949

What OpenQuestion holds

Textmetadata
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.