Evidence map›Paper›PMID 42852005›Full record

ArticleEnvironmental health perspectives2026

Multiomics Insights Linking Personal Care Products Exposure to Serum Lipid Profiles in Older Adults: The China BAPE Study.

Yongjun Situ, Xiaojie Guo, Huimin Ren, Jiankun Qian, Chenlong Li, Chenfeng Li, Xianwen Tang, Jiran Zhang, Xiaona Wang, Mengyao Wang and 8 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 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

18 authors.

Yongjun SituSchool of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.
Xiaojie GuoGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, Guangdong 510440, China.
Huimin RenChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiankun QianChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Chenlong LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Chenfeng LiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xianwen TangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Jiran ZhangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Xiaona WangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Mengyao WangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Yue LiangSchool of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.
Chenglei QiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Lin ChenChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Kaiyue ShaoChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Hongyang CuiChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0002-2809-7110
Song TangChina CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.ORCID https://orcid.org/0000-0003-3219-1422
Chen MaoSchool of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.
Xiaoming ShiSchool of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China.ORCID https://orcid.org/0000-0002-7071-571X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personal care products (PCPs) are widespread environmental exposures, yet their combined and system-wide effects on serum lipid profiles in the aging population remain poorly understood. This study aimed to comprehensively assess the association between exposure to multiple PCPs and serum lipid profiles in healthy older adults and to explore underlying molecular pathways and biological mechanisms. We conducted a prospective panel study with five monthly follow-up surveys between September 2018 and January 2019 among 76 healthy older adults (60-69 years) in Jinan, China. This study measured urinary concentrations of PCPs, serum lipid markers, and multiomics profiles (transcriptomics, lipidomics, and metabolomics). We employed linear mixed-effects models to analyze exposure-outcome associations and integrated multiomics data with causal inference testing and Ingenuity Pathway Analysis to identify mediating biomolecules and biological mechanisms. Additional analyses examined the relationships of PCP exposures with inflammatory cytokines, oxidative stress biomarkers, and electrocardiographic (ECG) parameters to provide functional support for the identified pathways and their associated phenotypic consequences. Four PCPs [Benzophenone-2 (BP-2), Benzophenone-3 (BP-3), 4-Hydroxy benzophenone (4-OHBP), and Ethyl p-Hydroxybenzoate (EtP)] were significantly associated with altered serum lipid profiles. Multiomics analyses suggested their convergence on a PPAR-centered immunometabolic network, with S100 signaling identified as a novel activation pathway. Specifically, BP-2 was associated with patterns consistent with IL-4/IL-13-mediated alternative macrophage activation, while PPAR appeared to be involved in inflammatory polarization and metabolic reprogramming. Cytokine analysis revealed associations between BP-2 and key inflammatory mediators (e.g., IL-1β), oxidative stress assessment linked BP-2 exposure to elevated markers of oxidative damage (e.g., 8-PGF2α), and ECG analysis associated BP-2 exposure with altered cardiac electrophysiology (e.g., QRS duration). These multifaceted findings suggest associations between PCP exposures and serum lipid profiles, and highlight the potential contribution to cardiovascular risk. Our findings provide integrated, multilayered evidence suggesting associations between exposure to PCPs and alterations in serum lipid profiles in older adults, bridging exposure profiles, biomolecular perturbations, and subclinical functional changes. These results serve as a hypothesis-generating theoretical foundation that, pending confirmation in larger studies or experimental validation, advances the understanding of environmental metabolic disruption in aging populations.

Indexed as

Environmental ExposureLipidsAgedBiomarkersChinaFemaleHumansMaleMiddle AgedMultiomicsPersonal Care ProductsProspective StudiesBiomarkersLipidsPersonal Care Products

Identifiers

PMID42852005
PMCPMC13648094

What OpenQuestion 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 OpenQuestion graph.