Evidence map›Paper›PMID 40246468›Full record

ArticleJournal of environmental sciences (China)2025

Mixture analysis of associations between environmental and workplace toxins and liver damage and telomere length, stratified by race/ethnicity.

Ning Ma, Rowena Yip, Mark Woodward, Sara Lewis, Michael Crane, Artit Jirapatnakul, Costica Aloman, Meena B Bansal, Douglas Dieterich, Louis Gros and 5 more

Abstract read
In one paragraph

Article in Journal of environmental sciences (China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

15 authors.

Ning MaDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Rowena YipDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Mark WoodwardThe George Institute for Global Health, School of Public Health, Imperial College London, London, W12 7RZ, UK; The George Institute for Global Health, University of New South Wales, Sydney, 2000, Australia.
Sara LewisDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Michael CraneDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Artit JirapatnakulDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Costica AlomanDepartment of Medicine, Division of Gastroenterology and Hepatobiliary Diseases, Westchester Medical Center, Valhalla, 10595, USA.
Meena B BansalDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Douglas DieterichDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Louis GrosDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Damaskini ValviDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Elena ColicinoDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
David YankelevitzDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Claudia HenschkeDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Andrea D BranchDivision of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. Electronic address: andrea.branch@mssm.edu.

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Chris Gennings · 2014 to 2026
$21.3M
Genomic and environmental drivers of HCC in Non-Hispanic Blacks: Nature and nurtureU01CA288425 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BRANCH, ANDREA D., STERLING, RICHARD K. · 2023 to 2025
$1.4M
NCI NIH HHS U01 CA288425NIEHS NIH HHS P30 ES023515NIOSH CDC HHS U01 OH011489NIOSH CDC HHS U01 OH012263NIOSH CDC HHS U01 OH012622
6 · The paper itself

Abstract

This study aimed to identify the worst "bad actors" in mixtures of pollutants contributing to liver damage and shorter telomeres in the U.S. population, using weighted quantile sum (WQS) modeling with stratification by race/ethnicity. We conducted a comprehensive cross-sectional analysis of mixtures of pollutants in National Health and Nutrition Examination Survey datasets: (1) 33,979 adults with blood levels of cadmium (Cd), lead (Pb), and mercury, including subsets with measurements of per-/polyfluoroalkyl substances (PFAS), and polychlorinated biphenyls (PCBs)/polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs); and (2) 7360 adults with measurements of telomeres, Cd, and Pb. Multivariable-adjusted WQS regression examined associations between WQS mixture indices and liver injury (alanine aminotransferase (ALT)-elevation), advanced liver-fibrosis (LF), and telomere length. WQS

Indexed as

Environmental ExposureEnvironmental PollutantsOccupational ExposureTelomereAdultBlack or African AmericanCadmiumCross-Sectional StudiesEthnicityFemaleHumansLeadLiverMaleMiddle AgedNutrition SurveysCadmiumEnvironmental PollutantsLeadPolychlorinated BiphenylsCadmium (Cd)Lead (Pb)Liver injuryMixture analysisPolychlorinated biphenylsRacial disparities

Identifiers

PMID40246468
PMCPMC12006726

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.