Evidence map›Paper›PMID 35192814›Full record

ArticleThe Science of the total environment2022

Triglyceride profiles are associated with subacute exposure to bisphenol A in healthy young adults.

Xinchen Lu, Yan Lin, Xinghua Qiu, Jinming Liu, Tong Zhu, Jesus A Araujo, Oliver Fiehn, Yifang Zhu

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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

8 authors at 3 institutions in 2 countries.

Xinchen LuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, PR China.
Yan LinDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States.
Xinghua QiuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, PR China. Electronic address: xhqiu@pku.edu.cn.
Jinming LiuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, PR China.
Tong ZhuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing 100871, PR China.
Jesus A AraujoDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States; Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California 90095, United States.
Oliver FiehnNIH-West Coast Metabolomics Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, United States.
Yifang ZhuDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States. Electronic address: yifang@ucla.edu.
Peking University · CNUniversity of California, Los Angeles · USUniversity of California, Davis · US

Funding

Air Pollution and Cardiovascular Diseases: Identification of Novel BiomarkersR21ES024560 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARAUJO, JESUS ANTONIO, ZHU, YIFANG · 2015 to 2016
$424k
NIEHS NIH HHS R21 ES024560
6 · The paper itself

Abstract

Conflicted results from previous epidemiological studies call for mechanistic evidence to associate exposure to bisphenol A (BPA) with cardiometabolic diseases. In this natural experiment among healthy travelers from Los Angeles (LA) to Beijing, we collected paired urine and blood samples before their departure, 6-8 weeks after their arrival to Beijing, and 4-7 weeks after their return to LA for the assessment of urinary BPA and lipidome in the serum fraction of blood, to study the effects of drastically changed BPA exposure on the lipid metabolism in relation to the development of cardiometabolic disorders. We used linear mixed-effects models with random intercepts for participant and phase to examine the associations between urinary BPA and serum lipidome. Among 744 lipid species from seven classes, triglyceride (TGs) species showed the strongest associations with BPA exposure. The elevation in BPA exposure was associated with increases in TGs with short carbon chains or few double bonds, and decreases in TGs with long carbon chains or many double bonds. A significant linear relationship was observed between BPA-associated TG changes and the number of carbons and double-bonds in the acyl chain. No modification effects of gender but of body mass index (BMI) were observed on the associations between BPA exposure and TGs. This interdisciplinary environmental research substantiated the cardiometabolic effects of BPA according to the perturbations of TG profiling.

Indexed as

Benzhydryl CompoundsCardiovascular DiseasesBisphenol A CompoundsCarbonHumansPhenolsTriglyceridesYoung AdultBenzhydryl Compoundsbisphenol ABisphenol A CompoundsCarbonPhenolsTriglyceridesBisphenol A (BPA)Cardiometabolic effectLipidomeTG profiling

Identifiers

PMID35192814
PMCPMC13470991
OpenAlexW4212857146

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.