Evidence map›Paper›PMID 42014597›Full record

ArticleBiogerontology2026

Gut microbiota as potential mediator linking dietary preferences and aging phenotypes.

Weidong Li, Xueyao Cai, Yuchen Cai, Jianda Zhou

Abstract read
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In one paragraph

Article in Biogerontology, 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

4 authors.

Weidong Li *Department of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xueyao Cai *Department of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Yuchen CaiDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhi-Zao-Ju Road, Huangpu,, Shanghai, 200011, China.
Jianda ZhouDepartment of Plastic Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China. zhoujianda@csu.edu.cn.

Funding

China Postdoctoral Science Foundation 2025M771943Key Research and Development Projects in the Field of Social Development in Hunan Province 2020SK3030National Natural Science Foundation of China 82501245Project of Science and Technology of Hunan Province 2021JJ40932Shanghai Postdoctoral Excellence Program 2024409
6 · The paper itself

Abstract

Aging is a complex process influenced by various factors, including gut microbiota and food likings. Focusing on gut and dietary health is a crucial strategy for promoting long-term health and active aging. This study investigates the reciprocal causal relationships between gut microbiota, food likings and aging using Mendelian Randomization (MR) approaches. We leveraged the summary statistics of gut microbiota (n = 5,959), food likings (n = 161,625), and three aging phenotypes including telomere length (n = 472,174), facial aging (n = 423,999), and frailty index (n = 175,226). We performed bidirectional MR analyses to explore the causal effects of gut microbiota and food likings on aging, and mediation analyses to discover potential mediating gut microbiota and food likings. We discovered numerous correlations between gut microbiota, food likings, and aging. Notably, we identified that Lachnospira rogosae and CAG-83 sp000435555 influenced the frailty index through diet fizzy drinks liking, while UBA2922 sp900313925 had an effect through F-wine liking. Our findings provide insights into these complex interactions and offer a basis for personalized dietary interventions to slow aging and improve health, potentially informing new strategies for preventing age-related diseases.

Indexed as

AgingFood PreferencesGastrointestinal MicrobiomeDietHumansMendelian Randomization AnalysisPhenotypeAgingCausalityFood likingsGut microbiotaMendelian randomization

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.