Deciphering molecular basis of pesticide-induced recurrent pregnancy loss: insights from transcriptomics analysis.

Recurrent pregnancy loss (RPL) crosstalk targets differentially expressed genes (DEGs) pesticide exposure transcriptomics analysis

Journal

Toxicology mechanisms and methods
ISSN: 1537-6524
Titre abrégé: Toxicol Mech Methods
Pays: England
ID NLM: 101134521

Informations de publication

Date de publication:
31 Jan 2024
Historique:
medline: 31 1 2024
pubmed: 31 1 2024
entrez: 31 1 2024
Statut: aheadofprint

Résumé

Recent studies have revealed a notable connection between pesticide exposure and Recurrent Pregnancy Loss (RPL), yet the precise molecular underpinning of this toxicity remains elusive. Through the alignment of Differentially Expressed Genes (DEGs) of healthy and RPL patients with the target genes of 9 pesticide components, we identified a set of 12 genes responsible for RPL etiology. Interestingly, biological process showed that besides RPL, those 12 genes also associated with preeclampsia and cardiovascular disease. Enrichment analysis showed the engagement of these genes associated with essential roles in the molecular transport of small molecules, as well as the aldosterone-regulated sodium reabsorption, endocrine and other factor-regulated calcium reabsorption, mineral absorption, ion homeostasis, and ion transport by P-type ATPases. Notably, the crosstalk targets between pesticide components played crucial roles in influencing RPL results, suggesting a role in attenuating pesticide agents that contribute to RPL. It is important to note that non-significant concentration of the pesticide components observed in both control and RPL samples should not prematurely undermine the potential for pesticides to induce RPL in humans. This study emphasizes the complexity of pesticide induced RPL and highlights avenues for further research and precautionary measures.

Identifiants

pubmed: 38294000
doi: 10.1080/15376516.2024.2307975
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-18

Auteurs

Muhammad Luthfi (M)

Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Computational Chemistry, Department of Chemistry, Chulalongkorn University, Bangkok, Thailand.

R B Pandey (RB)

School of Mathematics and Natural Sciences, University of Southern Mississippi, Hattiesburg, MS, USA.

Yong-Chao Su (YC)

Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan.

Pornthep Sompornpisut (P)

Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Center of Excellence in Computational Chemistry, Department of Chemistry, Chulalongkorn University, Bangkok, Thailand.

Classifications MeSH