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  Next-generation biomonitoring in a cohort of pregnant women from rural Bangladesh

Feuerstein, M. L., Hossain, M. Z., Kyei, N., Gabrysch, S., Warth, B. (2025 online): Next-generation biomonitoring in a cohort of pregnant women from rural Bangladesh. - Environment International, 110029.
https://doi.org/10.1016/j.envint.2025.110029

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 Urheber:
Feuerstein, Max L.1, Autor
Hossain, Md Zakir1, Autor
Kyei, Nicholas2, Autor                 
Gabrysch, Sabine2, Autor                 
Warth, Benedikt1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: The exposome represents all chemical exposures individuals encounter throughout their lifetime. Exposure to harmful chemicals during early life can lead to adverse later-life health outcomes, with prenatal exposure being of particular relevance. Maternal urine samples represent a valuable resource for monitoring the exposome during pregnancy including exposures to environmental, food-, and lifestyle-related toxicants. We examined 446 urine samples from pregnant women living in rural Habiganj district in Bangladesh who participated in the Maternal Exposure to Mycotoxins and Adverse Pregnancy Outcomes (MEMAPO) cohort study. Using a targeted multi-class next-generation human biomonitoring (HBM) LC-MS/MS assay, we analyzed more than 100 xenobiotics. In total, 62 target compounds were detected in urine samples, showing varying individual exposure patterns. Mycoestrogens were detected in one third of the samples, antibiotics were present in almost two thirds of the samples, and most samples contained biomarkers of exposure to polyaromatic hydrocarbons. Personal care product-related compounds, phytoestrogens, and biomarkers of exposure to nicotine, pesticides, plasticizers, and industrial chemicals were ubiquitously detected. Correlations between analytes revealed associations among chemically or functionally related compounds. This is, to the best of our knowledge, the most comprehensive HBM dataset for pregnant women in Bangladesh and South Asia. The presented dataset includes normalized urinary concentrations based on creatinine ratios and specific density. Together with previously published mycotoxin exposure data in this cohort, the presented dataset may serve as a basis for future investigations of how the detected chemical exposure mix affects pregnancy outcomes.

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Sprache(n): eng - English
 Datum: 2025-12-032025-12-272025-12-28
 Publikationsstatus: Online veröffentlicht
 Seiten: 25
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.envint.2025.110029
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Climate Change and Health
Research topic keyword: Food & Agriculture
Research topic keyword: Health
Regional keyword: Asia
MDB-ID: No data to archive
Model / method: Quantitative Methods
OATYPE: Gold Open Access
 Art des Abschluß: -

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Titel: Environment International
Genre der Quelle: Zeitschrift, SCI, Scopus, oa
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Seiten: - Band / Heft: - Artikelnummer: 110029 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/environment-international
Publisher: Elsevier