Evidence map›Paper›PMID 38640990›Full record

ArticleEnvironmental research2024

Environmental chemical-wide associations with immune biomarkers in US adults: A cross-sectional analysis.

Lauren Y M Middleton, Vy K Nguyen, John Dou, Herong Wang, Chirag J Patel, Sung Kyun Park, Justin A Colacino, Kelly M Bakulski

Open access · hybridAbstract read
In one paragraph

Article in Environmental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 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

8 authors at 2 institutions in 1 country.

Lauren Y M MiddletonDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Medical School, University of Michigan, Ann Arbor, MI, USA.
Vy K NguyenDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA.
John DouDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Herong WangDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA.
Sung Kyun ParkDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Justin A ColacinoDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Program in the Environment, College of Literature, Sciences, and the Arts, University of Michigan, Ann Arbor, MI, USA.
Kelly M BakulskiDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: bakulski@umich.edu.
University of Michigan · USHarvard University · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric R. Fearon · 1988 to 2026
$178.2M
MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
MI-CARES: The Michigan Cancer and Research on the Environment StudyUH3CA267907 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy, Bhramar Mukherjee · 2024 to 2026
$6.0M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
DNA Methylation, Genetics, and Modifiable Risk Factors of Dementia in a Nationally Representative, Multi-Ethnic Cohort - Diversity SupplementR01AG067592 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, WARE, ERIN BAKSHIS · 2020 to 2025
$3.8M
Risk of Alzheimer's Disease and Related Dementias from Perinatal Lead Exposure: Brain Region and Cell Type EffectsR01AG072396 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Kelly Bakulski, Justin Adam Colacino · 2022 to 2026
$3.7M
Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
The Study of the Environment and Alzheimer's disease and related Dementias (SEAD)R01AG070897 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, PARK, SUNG KYUN · 2021 to 2025
$3.4M
MI-CARES: The Michigan Cancer and Research on the Environment StudyUG3CA267907 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA, MUKHERJEE, BHRAMAR · 2021 to 2022
$2.2M
NCI NIH HHS P30 CA046592NCI NIH HHS UG3 CA267907NCI NIH HHS UH3 CA267907NIA NIH HHS R01 AG067592NIA NIH HHS R01 AG070897NIA NIH HHS R01 AG072396NIDDK NIH HHS P30 DK020572NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES028802NIEHS NIH HHS R01 ES032470NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

Environmental chemical exposures influence immune system functions, and humans are exposed to a wide range of chemicals, termed the chemical "exposome". A comprehensive, discovery analysis of the associations of multiple chemical families with immune biomarkers is needed. In this study, we tested the associations between environmental chemical concentrations and immune biomarkers. We analyzed the United States cross-sectional National Health and Nutrition Examination Survey (NHANES, 1999-2018). Chemical biomarker concentrations were measured in blood or urine (196 chemicals, 17 chemical families). Immune biomarkers included counts of lymphocytes, neutrophils, monocytes, basophils, eosinophils, red blood cells, white blood cells, and mean corpuscular volume. We conducted separate survey-weighted, multivariable linear regressions of each log

Indexed as

BiomarkersEnvironmental ExposureAdultCross-Sectional StudiesEnvironmental PollutantsFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesBiomarkersEnvironmental PollutantsEnvironmental chemicalsEnvironmental epidemiologyImmune system biomarkersLead exposureMetalsWhite blood cells

Identifiers

PMID38640990
PMCPMC11707796
OpenAlexW4394893525

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.