Evidence map›Paper›PMID 42295446›Full record

ArticleInternational archives of occupational and environmental health2026

Association of volatile organic compounds with serum lactate dehydrogenase levels in the general adults.

Ruitong Liao, Xiaoping Huang, Yue Xu, Qingya Zhao, Xiaogang Lv, Qi Liu, Qianqian Ji, Liuqing Li, Minghe Xu, Weiqing Chen and 3 more

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 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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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

13 authors.

Ruitong LiaoDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Xiaoping HuangDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yue XuDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qingya ZhaoDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Xiaogang LvDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qi LiuDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Qianqian JiDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Liuqing LiDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Minghe XuDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Weiqing ChenDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
Yunzhang WangKarolinska Institutet, Stockholm, Sweden. yunzhang.wang@ki.se.
Shan XuShenzhen Nanshan Center for Chronic Disease Control and Shenzhen, Nanshan Mental Health Center, Shenzhen, China. 13823723231@139.com.
Yiqiang ZhanDepartment of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China. zhanyq8@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the associations between urinary metabolites of Volatile organic compounds (mVOCs) and serum Lactate dehydrogenase (LDH) levels in a representative sample of the U.S. adults.

methodsWe analyzed data from 4907 participants in NHANES 2011-2018. Seventeen urinary mVOCs were measured, and serum LDH was used as the outcome. Generalized linear models (GLM), restricted cubic splines (RCS), and weighted quantile sum (WQS) regression were used to assess linear, nonlinear, and mixture effects. Sensitivity analyses were conducted using urinary creatinine-corrected mVOC concentrations, and quantile g-computation (qgcomp) was applied as an alternative mixture modeling approach to validate the robustness of our findings. Furthermore, false discovery rate (FDR) correction was applied to account for multiple comparisons.

resultsSeveral mVOCs were significantly associated with serum LDH. Notably, 2MHA, 34MHA, ATCA, and CYMA showed robust inverse associations, while PHEM was positively associated with LDH. RCS models revealed non-linear exposure-response relationships for multiple mVOCs. WQS regression indicated that both positively and negatively weighted mVOCs contributed to LDH levels, with DHBMA as a major positive contributor and 34MHA as a negative contributor. Most associations remained stable after sensitivity analyses.

conclusionsThis study demonstrates that urinary mVOCs are associated with serum LDH levels, suggesting potential subclinical toxic effects of VOC exposure. These findings underscore the need for environmental risk management and further investigation into the biological pathways linking VOCs to systemic health outcomes.

Indexed as

Environmental ExposureL-Lactate DehydrogenaseVolatile Organic CompoundsAdultBiomarkersFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesBiomarkersL-Lactate DehydrogenaseVolatile Organic CompoundsBiomarkers of exposureEnvironmental exposureLactate dehydrogenaseVolatile organic compounds

Identifiers

PMID42295446
PMCPMC13269155

What Socratic holds

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LicenceCC BY
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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 Socratic graph.