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

• Published in: Frontiers in Public Health
• Main Authors: Palaniswamy, Saranya, Abass, Khaled, Rysa, Jaana, Grimalt, Joan O., Odland, Jon Oyvind, Rautio, Arja, Jarvelin, Marjo-Riitta
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media 2023
• Subjects: Pesticides; Metabolomics; Finland; General population; Non-occupational exposure; Non-communicable diseases (NCDs); SDG-03: Good health and well-being; Northern Finland
• Online Access: http://hdl.handle.net/2263/96646; https://doi.org/10.3389/fpubh.2023.1248609

DATA AVAILABILITY STATEMENT : The datasets presented in this article are not readily available because NFBC data is available from the University of Oulu, Infrastructure for Population Studies. Permission to use the data can be applied for research purposes via an electronic material request portal. In the use of data, we follow the EU general data protection regulation (679/2016) and Finnish Data Protection Act. The use of personal data is based on cohort participant’s written informed consent at his/her latest follow-up study, which may cause limitations to its use. Please, contact the NFBC project center ([e-mail]) and visit the cohort website (www.oulu.fi/nfbc) or Fairdata.fi (http://urn.fi/urn:nbn:fi:att:bc1e5408-980e-4a62-b899-43bec3755243) for additional information. Requests to access the datasets should be directed to NFBC project center ([e-mail]). 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 ...