Evidence map›Paper›PMID 37354880›Full record

ArticleEnvironment international2023

Household air pollution and epigenetic aging in Xuanwei, China.

Batel Blechter, Andres Cardenas, Junming Shi, Jason Y Y Wong, Wei Hu, Mohammad L Rahman, Charles Breeze, George S Downward, Lützen Portengen, Yongliang Zhang and 12 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

22 authors at 8 institutions in 3 countries.

Batel BlechterDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. Electronic address: batel.blechter@nih.gov.
Andres CardenasDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
Junming ShiDepartment of Biostatistics, UC Berkeley School of Public Health, Berkeley, CA, USA.
Jason Y Y WongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Mohammad L RahmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Charles BreezeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
George S DownwardInstitute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.
Lützen PortengenInstitute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands.
Yongliang ZhangInstitute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands.
Bofu NingXuanwei Center of Diseases Control, Xuanwei, Yunnan, China.
Bu-Tian JiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Richard CawthonDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jihua LiQuijing Center for Diseases Control and Prevention, Quijing, Yunnan, China.
Kaiyun YangDepartment of Cardiothoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China.
Anne BozackDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
H Dean HosgoodDivision of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA.
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Yunchao HuangDepartment of Cardiothoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Roel VermeulenDepartment of Biostatistics, UC Berkeley School of Public Health, Berkeley, CA, USA.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
National Institutes of Health · USUtrecht University · NLBerkeley Public Health Division · USKunming Medical University · CNStanford University · USAlbert Einstein College of Medicine · USQujing Normal University · CNUniversity of Utah · US

Funding

Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
Occupational Exposure AssessmentZIACP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI FRIESEN, MELISSA · 2009 to 2025
$8.6M
Intramural NIH HHS ZIA CP010120Intramural NIH HHS ZIA CP010122
6 · The paper itself

Abstract

backgroundHousehold air pollution (HAP) from indoor combustion of solid fuel is a global health burden linked to lung cancer. In Xuanwei, China, lung cancer rate for nonsmoking women is among the highest in the world and largely attributed to high levels of polycyclic aromatic hydrocarbons (PAHs) that are produced from combustion of smoky (bituminous) coal used for cooking and heating. Epigenetic age acceleration (EAA), a DNA methylation-based biomarker of aging, has been shown to be highly correlated with biological processes underlying the susceptibility of age-related diseases. We aim to assess the association between HAP exposure and EAA.

methodsWe analyzed data from 106 never-smoking women from Xuanwei, China. Information on fuel type was collected using a questionnaire, and validated exposure models were used to predict levels of 43 HAP constituents. Exposure clusters were identified using hierarchical clustering. EAA was derived for five epigenetic clocks defined as the residuals resulting from regressing each clock on chronological age. We used generalized estimating equations to test associations between exposure clusters derived from predicted levels of HAP exposure, ambient 5-methylchrysene (5-MC), a PAH previously found to be associated with risk of lung cancer, and EAA, while accounting for repeated-measurements and confounders.

resultsWe observed an increase in GrimAge EAA for clusters with 31 and 33 PAHs reflecting current (β = 0.77 y per standard deviation (SD) increase, 95 % CI:0.36,1.19) and childhood (β = 0.92 y per SD, 95 % CI:0.40,1.45) exposure, respectively. 5-MC (ng/m

conclusionsOur findings suggest that exposure to PAHs from indoor smoky coal combustion, particularly 5-MC, is associated with GrimAge EAA, a biomarker of mortality.

Indexed as

Air PollutionAir Pollution, IndoorLung NeoplasmsPolycyclic Aromatic HydrocarbonsAgingChildChinaCoalEpigenesis, GeneticFemaleHumansSmokeCoalPolycyclic Aromatic HydrocarbonsSmoke5-methylchryseneEpigenetic age accelerationHousehold air pollutionLung cancerPolycyclic aromatic hydrocarbons

Identifiers

PMID37354880
PMCPMC11812304
OpenAlexW4381051176

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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 OpenQuestion graph.