In one paragraphArticle in medRxiv : the preprint server for health sciences, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
20 authors.
Sarina AbrishamcarDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0001-9478-7374 Stephanie M EickDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0001-6695-3291 Todd EversonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0003-2732-4550 Shakira F SugliaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-5634-9290 M Daniele FallinDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-9948-3908 Robert O WrightDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Syam S AndraDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0003-2839-6417 Jasmin ChovatiyaDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0009-0007-9925-7795 Ravikumar JaganiDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Dana Boyd BarrGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-5566-2138 Erin C DunnDepartment of Sociology, College of Liberal Arts, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-1124-5850 Julie L MacIsaacEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Kristy DeverEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Michael S KoborEdwin S. H. Leong Centre for Healthy Aging, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-4140-1743 Nastassja KoenNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Heather J ZarDepartment of Paediatrics and Child Health, SA-MRC unit on Child & Adolescent Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-9046-759X Anke HülsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-6005-417X Funding
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4MUntargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5MPilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI William Michael Caudle · 2013 to 2026
$22.6MGraduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1MChildhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6MEpigenetic predictors of time-varying exposures to childhood adversity and depressionR21MH132947 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN, LUSSIER, ALEXANDRE A · 2023 to 2024
$475kSensitive periods for prenatal alcohol exposure: a longitudinal study of DNA methylation and subsequent mental healthR21AA030640 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN, LUSSIER, ALEXANDRE A · 2023 to 2024
$441kThe Joint Effects of Prenatal Pesticide Exposure and Psychosocial Factors on Epigenetic Age Trajectories and Child Psychopathology in a South African Birth CohortF31ES037540 · NIEHS · EMORY UNIVERSITY · PI ABRISHAMCAR, SARINA · 2025 to 2025
$50kNIAAA NIH HHS R21 AA030640NIEHS NIH HHS F31 ES037540NIEHS NIH HHS P30 ES019776NIEHS NIH HHS T32 ES012870NIEHS NIH HHS U2C ES026555NIEHS NIH HHS U2C ES026561NIMH NIH HHS R01 MH113930NIMH NIH HHS R21 MH132947Wellcome Trust
6 · The paper itselfAbstract
Background: Prenatal exposure to pesticides and psychosocial factors often co-occurs, particularly in low- and middle-income settings, yet their joint effects on epigenetic age acceleration (EAA) in early life remain unknown. We investigated the joint associations of prenatal pesticides metabolites and psychosocial factors on EAA in the first five years of life in the South African Drakenstein Child Health Study. Methods: In 643 mothers, we measured 11 urinary pesticide metabolites and seven psychosocial factors during the second trimester of pregnancy. Child DNA methylation was measured in whole blood at ages 1, 3, and 5 years. EAA was estimated using the Horvath, Skin & Blood Horvath (skinHorvath), and Wu epigenetic clocks. Longitudinal associations were estimated using generalized estimating equations, adjusted for confounders. Joint mixture associations were evaluated using weighted quantile sum regression (WQS) and quantile g-computation (QGCOMP). Results: The joint prenatal exposure mixture was positively associated with Wu (β per one quintile increase in the mixture [95% CI]: 0.41 years [0.15, 0.80]), skinHorvath (0.11 years [0.06, 0.16]), and Horvath EAA (0.31 years [0.20, 0.46]) over time using WQS. Psychosocial factors, particularly food insecurity, physical interpersonal violence, and stress biomarkers, contributed most to the total mixture effect for all clocks. Pyrethroid metabolites PBA and TDCCA were top pesticide contributors to Wu EAA. Pathway enrichment analyses of clock-specific CpGs revealed distinct biological architectures, with the Wu clock enriched for neurodevelopmental and immune pathways, and metabolic pathways for the Horvath clock. Discussion: Joint prenatal exposure to pesticides and psychosocial factors was associated with increased EAA across early childhood, with psychosocial factors contributing the most to the total effect. These findings highlight the importance of assessing chemical and non-chemical stressors jointly and clock-specific biological interpretation in epigenetic aging research.
Identifiers
PMID41959810
PMCPMC13060444
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390