Evidence mapPaperPMID 40155648Full record

ArticleScientific reports2025

Association between urinary volatile organic compound metabolites and sarcopenia in the US general population: a cross-sectional NHANES study from 2011 to 2018.

Wei Tang, Tuotuo Chen, Zixuan Luo, Junxiang Chen

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wei TangDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Tuotuo ChenDepartment of Emergency Medicine, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Zixuan LuoDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
Junxiang ChenDepartment of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, 410011, China. chenjxly@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volatile organic compound (VOC) is a prevalent form of pollutant that has been linked to various human ailments, yet their connection to sarcopenia remains uncertain. This study seeks to examine the potential association between exposure to mixtures of metabolites of volatile organic compounds (mVOCs) and sarcopenia, while also investigating the potential mediating effects of oxidative stress and inflammation. Data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES) were utilized for the analysis of the relationship between mVOCs and sarcopenia through logistic regression. The least absolute shrinkage and selection operator (LASSO) regression model was employed to identify key mVOCs, while the quantile-g computation model (qgcomp) and bayesian kernel machine regression (BKMR) models were utilized to examine the association between mVOC mixtures and sarcopenia. Potential mediating factors were explored through mediating analysis. Of the 2908 participants included in the study, 246 individuals (8.5%) were found to have sarcopenia. Logistic regression analysis revealed that five urinary VOC metabolites were positively correlated with an increased risk of sarcopenia. The key mVOCs identified through the LASSO method were further analyzed using qgcomp, which showed a 47% average increase in the risk of sarcopenia when exposed to a mixture of mVOCs (OR = 1.47, 95% CI 1.14-1.91). Four mVOCs components (DHBMA, 3HPMA, ATCA and 3,4MHA) have the largest weight. The BKMR results further confirm this joint association. Furthermore, Mediation analysis revealed that inflammation and oxidative stress mediate the relationship between exposure to mVOCs and sarcopenia. In conclusion, our study provides evidence suggesting that VOC exposure is linked to a heightened risk of sarcopenia, with inflammation and oxidative stress potentially serving as mediators in this relationship. It is recommended that additional cohort studies be conducted to validate these findings.

Indexed as

SarcopeniaVolatile Organic CompoundsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysOxidative StressUnited StatesVolatile Organic CompoundsInflammationMixture exposureNHANESOxidative stressSarcopeniaVolatile organic compounds

Identifiers

PMID40155648
PMCPMC11953313

What Socratic holds

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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 Socratic graph.