Evidence map›Paper›PMID 41982489›Full record

ArticleFood science & nutrition2026

Dietary Factors Drive Volatile Organic Compound Exposure and Modulate Its Impact on Multi-Dimensional Biological Aging.

Weitao Su, Yaoyu Hu, Jindong Zhao, Ming Yang, Jingtao Wu, Danfeng Wen, Zhiqi Lin, Jiaxin Zhao, Yanbing Li, Jiufeng Li and 1 more

Abstract read
In one paragraph

Article in Food science & 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.

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0citing papers in PubMed
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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

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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

11 authors.

Weitao SuCentral Laboratory The Second Affiliated Hospital of Fujian Medical University Quanzhou Fujian China.ORCID https://orcid.org/0000-0002-9474-8428
Yaoyu HuCenter for Rare Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Beijing China.
Jindong ZhaoDepartment of Epidemiology and Statistics, School of Public Health Hebei Medical University Shijiazhuang China.
Ming YangCenter for Rare Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Beijing China.
Jingtao WuCenter for Rare Diseases, State Key Laboratory of Complex, Severe, and Rare Diseases Peking Union Medical College Hospital, Chinese Academy of Medical Sciences Beijing China.
Danfeng WenKey Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China Fudan University Shanghai China.
Zhiqi LinKey Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China Fudan University Shanghai China.
Jiaxin ZhaoDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences School of Basic Medicine Peking Union Medical College Beijing China.
Yanbing LiDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences School of Basic Medicine Peking Union Medical College Beijing China.
Jiufeng LiKey Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China Fudan University Shanghai China.
Ang LiDepartment of Epidemiology and Statistics, School of Public Health Hebei Medical University Shijiazhuang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volatile organic compound (VOC) exposure is ubiquitous and linked to aging, but dietary contributions and effects on multi-dimensional biological age (BA) indicators are unclear. This study investigated dietary drivers of urinary VOC metabolite (VOCM) concentrations, their association with multi-dimensional BA, and whether diet modifies this relationship. This study analyzed 4,976 U.S. adults (2011-2020), measuring 16 urinary VOC metabolites (VOCMs) and four BA indicators: Klemera-Doubal BA/phenotypic age acceleration (KDMAgeAccel/PhenoAgeAccel), allostatic load (AL), and homeostatic dysregulation (HD). Survey-weighted generalized linear and logistic regression models were used to examine associations between 16 VOCMs and four BA indicators, assessing interaction with dietary patterns. VOCM concentrations were influenced by dietary factors, including dietary patterns, food groups, and nutrients. Multiple VOCMs, and their mixture, were positively associated with BA (e.g., VOCM mixture on KDMAgeAccel > 0: OR = 1.235, 95% CI: 1.097, 1.391). Specifically, 4HBeMA exhibited significant positive associations with KDMAgeAccel, AL, and PhenoAgeAccel. KDMAgeAccel emerged as the most sensitive BA indicator, significantly associated with eight VOCMs, with DHBMA showing the strongest correlation (KDMAgeAccel > 0: OR = 1.393, 95% CI: 1.129, 1.718). Healthy dietary patterns have protective effects against VOCMs-related BA. Dietary factors are significant drivers of VOC exposure inequality. VOCM exposure is linked to multi-dimensional BA, for which KDMAgeAccel is a sensitive biomarker. Healthier dietary patterns may protect against VOC-related BA, suggesting a viable strategy for public health intervention.

Indexed as

biological agingdietary modificationexposure inequalityvolatile organic compounds

Identifiers

PMID41982489
PMCPMC13071531

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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.