Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers

The relationship between pesticide exposures and metabolomics biomarkers is not well understood. We examined the changes in the serum metabolome (early biomarkers) and the metabolic pathways associated with various pesticide exposure scenarios (OPE: overall exposure, PEM: exposure in months, PEY: ex...

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Published in:Frontiers in Public Health
Main Authors: Palaniswamy, Saranya, Abass, Khaled, Rysä, Jaana, Grimalt, Joan O., Odland, Jon Øyvind, Rautio, Arja, Järvelin, Marjo-Riitta
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media 2023
Subjects:
Online Access:https://hdl.handle.net/11250/3121871
https://doi.org/10.3389/fpubh.2023.1248609
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3121871 2024-04-07T07:54:49+00:00 Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers Palaniswamy, Saranya Abass, Khaled Rysä, Jaana Grimalt, Joan O. Odland, Jon Øyvind Rautio, Arja Järvelin, Marjo-Riitta 2023 application/pdf https://hdl.handle.net/11250/3121871 https://doi.org/10.3389/fpubh.2023.1248609 eng eng Frontiers Media Frontiers in Public Health. 2023, 11 . urn:issn:2296-2565 https://hdl.handle.net/11250/3121871 https://doi.org/10.3389/fpubh.2023.1248609 cristin:2194890 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no 11 Frontiers in Public Health Journal article Peer reviewed 2023 ftntnutrondheimi https://doi.org/10.3389/fpubh.2023.1248609 2024-03-14T18:35:47Z The relationship between pesticide exposures and metabolomics biomarkers is not well understood. We examined the changes in the serum metabolome (early biomarkers) and the metabolic pathways associated with various pesticide exposure scenarios (OPE: overall exposure, PEM: exposure in months, PEY: exposure in years, and PEU: reported specific pesticides use) using data from the Northern Finland Birth Cohort 1966 31-year cross-sectional examination. We utilized questionnaire data on pesticide exposures and serum samples for nuclear magnetic resonance (NMR)-based metabolomics analyses. For exposures and metabolites associations, participants size varied between 2,361 and 5,035. To investigate associations between metabolomics biomarkers and exposure to pesticide scenarios compared to those who reported no exposures multivariable regression analyses stratified by sex and adjustment with covariates (season of pesticide use, socioeconomic position (SEP), alcohol consumption, BMI, and latitude of residence) were performed. Multiple testing by Benjamini–Hochberg false discovery rate (FDR) correction applied. Pesticide exposures differed by sex, season of pesticide use, alcohol, SEP, latitude of residence. Our results showed that all pesticide exposure scenarios were negatively associated with decreased HDL concentrations across all lipoprotein subclasses in women. OPE, PEY, and PEU were associated with decreased branched-chain amino acid concentrations in men and decreased albumin concentrations in women. OPE, PEY and PEU were also associated with changes in glycolysis metabolites and ketone bodies in both sexes. Specific pesticides exposure was negatively associated with sphingolipids and inflammatory biomarkers in men. In women, OPE, PEM, and PEU were associated with decreased apolipoprotein A1 and increased apolipoprotein B/apolipoprotein A1 ratio. Our findings suggest that identification of early biomarkers of disease risk related to pesticide exposures can inform strategies to reduce exposure and investigate causal ... Article in Journal/Newspaper Northern Finland NTNU Open Archive (Norwegian University of Science and Technology) Frontiers in Public Health 11
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collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
description The relationship between pesticide exposures and metabolomics biomarkers is not well understood. We examined the changes in the serum metabolome (early biomarkers) and the metabolic pathways associated with various pesticide exposure scenarios (OPE: overall exposure, PEM: exposure in months, PEY: exposure in years, and PEU: reported specific pesticides use) using data from the Northern Finland Birth Cohort 1966 31-year cross-sectional examination. We utilized questionnaire data on pesticide exposures and serum samples for nuclear magnetic resonance (NMR)-based metabolomics analyses. For exposures and metabolites associations, participants size varied between 2,361 and 5,035. To investigate associations between metabolomics biomarkers and exposure to pesticide scenarios compared to those who reported no exposures multivariable regression analyses stratified by sex and adjustment with covariates (season of pesticide use, socioeconomic position (SEP), alcohol consumption, BMI, and latitude of residence) were performed. Multiple testing by Benjamini–Hochberg false discovery rate (FDR) correction applied. Pesticide exposures differed by sex, season of pesticide use, alcohol, SEP, latitude of residence. Our results showed that all pesticide exposure scenarios were negatively associated with decreased HDL concentrations across all lipoprotein subclasses in women. OPE, PEY, and PEU were associated with decreased branched-chain amino acid concentrations in men and decreased albumin concentrations in women. OPE, PEY and PEU were also associated with changes in glycolysis metabolites and ketone bodies in both sexes. Specific pesticides exposure was negatively associated with sphingolipids and inflammatory biomarkers in men. In women, OPE, PEM, and PEU were associated with decreased apolipoprotein A1 and increased apolipoprotein B/apolipoprotein A1 ratio. Our findings suggest that identification of early biomarkers of disease risk related to pesticide exposures can inform strategies to reduce exposure and investigate causal ...
format Article in Journal/Newspaper
author Palaniswamy, Saranya
Abass, Khaled
Rysä, Jaana
Grimalt, Joan O.
Odland, Jon Øyvind
Rautio, Arja
Järvelin, Marjo-Riitta
spellingShingle Palaniswamy, Saranya
Abass, Khaled
Rysä, Jaana
Grimalt, Joan O.
Odland, Jon Øyvind
Rautio, Arja
Järvelin, Marjo-Riitta
Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
author_facet Palaniswamy, Saranya
Abass, Khaled
Rysä, Jaana
Grimalt, Joan O.
Odland, Jon Øyvind
Rautio, Arja
Järvelin, Marjo-Riitta
author_sort Palaniswamy, Saranya
title Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
title_short Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
title_full Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
title_fullStr Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
title_full_unstemmed Investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
title_sort investigating the relationship between non-occupational pesticide exposure and metabolomic biomarkers
publisher Frontiers Media
publishDate 2023
url https://hdl.handle.net/11250/3121871
https://doi.org/10.3389/fpubh.2023.1248609
genre Northern Finland
genre_facet Northern Finland
op_source 11
Frontiers in Public Health
op_relation Frontiers in Public Health. 2023, 11 .
urn:issn:2296-2565
https://hdl.handle.net/11250/3121871
https://doi.org/10.3389/fpubh.2023.1248609
cristin:2194890
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
op_doi https://doi.org/10.3389/fpubh.2023.1248609
container_title Frontiers in Public Health
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