Evidence map›Paper›PMID 36805808›Full record

ArticleEnvironment international2023

Maternal DNA methylation signatures of arsenic exposure is associated with adult offspring insulin resistance in the Strong Heart Study.

Christian K Dye, Arce Domingo-Relloso, Allison Kupsco, Naomi E Tinkelman, Miranda J Spratlen, Anne K Bozack, Maria Tellez-Plaza, Walter Goessler, Karin Haack, Jason G Umans and 3 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 12 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

13 authors at 6 institutions in 3 countries.

Christian K DyeDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA. Electronic address: ckd2132@cumc.columbia.edu.
Arce Domingo-RellosoDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA; Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain.
Allison KupscoDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA.
Naomi E TinkelmanDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA.
Miranda J SpratlenDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA.
Anne K BozackDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Maria Tellez-PlazaDepartment of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain.
Walter GoesslerInstitute of Chemistry, University of Graz, Graz, Austria.
Karin HaackPopulation Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA.
Jason G UmansMedStar Health Research Institute, Washington, DC, USA; Center for Clinical and Translational Sciences, Georgetown-Howard Universities, Washington, DC, USA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA.
Shelley A ColePopulation Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA.
Ana Navas-AcienDepartment of Environmental Health Sciences, Columbia University, New York, New York, USA.
Columbia University · USTexas Biomedical Research Institute · USGeorgetown-Howard Universities Center for Clinical and Translational Science · USInstituto de Salud Carlos III · ESUniversity of California, Berkeley · USUniversity of Graz · AT

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
The Strong Heart Study, Phase VU01HL041654 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 1988 to 2013
$19.2M
STRONG HEART STUDY (SHS): OUHSC COORDINATING CENTER - TASK AREA B (B.1 AND B.3)75N92019D00027 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ZHANG, YING · 2019 to 2025
$15.5M
CARDIOVASCULAR DISEASE IN THE PIMA INDIANSU01HL041642 · NHLBI · MEDSTAR RESEARCH INSTITUTE · PI HOWARD, BARBARA V · 1988 to 2013
$12.6M
Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
STRONG HEART FAMILY STUDYU01HL065520 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2000 to 2011
$8.9M
CARDIOVASCULAR DISEASE IN SIOUX INDIANSU01HL041652 · NHLBI · U.S. PHS INDIAN HEALTH SERVICE · PI BEST, LYLE G · 1988 to 2013
$7.9M
STRONG HEART STUDY (SHS)-MISSOURI BREAKS INDUSTRIES RESEARCH, INC.- FIELD CENTER (FC) TASK AREA B (B.1 AND B.3)75N92019D00029 · NHLBI · MISSOURI BREAKS RESEARCH, INC. · PI FRETTS, AMANDA MAE · 2019 to 2025
$7.5M
STRONG HEART STUDY (SHS)- UNIVERSITY OF OKLAHOMA-FIELD CENTER (FC), TASK AREA B.3, YEAR 375N92019D00028 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ALI, TAUQEER · 2019 to 2025
$6.5M
STRONG HEART STUDY (SHS)- MEDSTAR HEALTH RESEARCH INSTITUTE (MHRI) FIELD CENTER -SUBTASK AREA B.2 PHASE VII EXAM AND EXAM CLOSEOUT.75N92019D00030 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2019 to 2025
$5.2M
NHLBI NIH HHS 75N92019D00027NHLBI NIH HHS 75N92019D00028NHLBI NIH HHS 75N92019D00029NHLBI NIH HHS 75N92019D00030NHLBI NIH HHS R01 HL090863NHLBI NIH HHS R01 HL109282NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109315NHLBI NIH HHS R01 HL109319NHLBI NIH HHS T32 HL115505NHLBI NIH HHS U01 HL041642NHLBI NIH HHS U01 HL041652NHLBI NIH HHS U01 HL041654NHLBI NIH HHS U01 HL065520NHLBI NIH HHS U01 HL065521NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES021367NIEHS NIH HHS R01 ES032638NIEHS NIH HHS T32 ES007322NIH HHS P51 OD011133
6 · The paper itself

Abstract

Exposure to low to moderate arsenic (As) levels has been associated with type 2 diabetes (T2D) and other chronic diseases in American Indian communities. Prenatal exposure to As may also increase the risk for T2D in adulthood, and maternal As has been associated with adult offspring metabolic health measurements. We hypothesized that T2D-related outcomes in adult offspring born to women exposed to low to moderate As can be evaluated utilizing a maternally-derived molecular biosignature of As exposure. Herein, we evaluated the association of maternal DNA methylation with incident T2D and insulin resistance (Homeostatic model assessment of insulin resistance [HOMA2-IR]) in adult offspring. For DNA methylation, we used 20 differentially methylated cytosine-guanine dinucleotides (CpG) previously associated with the sum of inorganic and methylated As species (ΣAs) in urine in the Strong Heart Study (SHS). Of these 20 CpGs, we found six CpGs nominally associated (p < 0.05) with HOMA2-IR in a fully adjusted model that included clinically relevant covariates and offspring adiposity measurements; a similar model that adjusted instead for maternal adiposity measurements found three CpGs nominally associated with HOMA2-IR, two of which overlapped the offspring adiposity model. After adjusting for multiple comparisons, cg03036214 remained associated with HOMA2-IR (q < 0.10) in the offspring adiposity model. The odds ratio of incident T2D increased with an increase in maternal DNA methylation at one HOMA2-IR associated CpG in the model adjusting for offspring adiposity, cg12116137, whereas adjusting for maternal adiposity had a minimal effect on the association. Our data suggests offspring adiposity, rather than maternal adiposity, potentially influences the effects of maternal DNAm signatures on offspring metabolic health parameters. Here, we have presented evidence supporting a role for epigenetic biosignatures of maternal As exposure as a potential biomarker for evaluating risk of T2D-related outcomes in offspring later in life.

Indexed as

ArsenicDiabetes Mellitus, Type 2Insulin ResistanceAdultAdult ChildrenDNA MethylationFemaleHumansObesityPregnancyArsenicAmerican IndiansArsenicDiabetesDNA methylationEpigeneticsInsulin resistanceStrong Heart Study

Identifiers

PMID36805808
PMCPMC10166110
OpenAlexW4319231400

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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.