Rapid LA-REIMS-based metabolic fingerprinting of serum discriminates aflatoxin-exposed from non-exposed pregnant women: a prospective cohort from the Butajira Nutrition, Mental Health, and Pregnancy (BUNMAP) Study in rural Ethiopia.

Journal: Mycotoxin research

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Affiliated Institutions:  Department of Food Technology, Safety, and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium. kokiadonis@gmail.com. Department of Translational Physiology, Infectiology and Public Health, Laboratory of Integrative Metabolomics, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium. Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia. Department of Food Technology, Safety, and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium. Department of Chemistry, University of Turin, Turin, Italy. Department of Reproductive Health and Health Service Management, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia. Center of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, MYTOX-SOUTH® Coordination Unit, Ghent, Belgium. Center of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, MYTOX-SOUTH® Coordination Unit, Ghent, Belgium. marthe.deboevre@ugent.be.

Abstract summary 

To date, the changes in maternal metabolic response associated with prenatal aflatoxin exposure remain largely unknown. This study investigated the effects of prenatal aflatoxin exposure on the maternal serum metabolome in rural Ethiopia. A total of 309 pregnant women were enrolled prospectively, and their serum aflatoxin concentrations were measured using targeted liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Serum metabolic fingerprints were obtained using laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS), followed by combination of univariate and multivariate statistical modelling to evaluate changes in circulating metabolic features between aflatoxin-exposed and unexposed mothers and to select discriminatory metabolic features. The analysis revealed that 81.8% of women were exposed to aflatoxins, with a median concentration of 12.9 pg/mg albumin. The orthogonal partial least square discriminant analysis (OPLS-DA) regression model demonstrated significant disparities in the serum metabolome when comparing Ethiopian pregnant women with low vs high aflatoxin exposure. Thirty-two differentially expressed metabolic features were identified, affecting aminoacyl-tRNA biosynthesis pathway. Several discriminatory metabolites have been identified, including glutamine, tryptophan, tyrosine, carnosine, and 1-methylnicotinamide. In conclusion, our findings indicate that aflatoxin exposure during pregnancy have shown disparities in the maternal serum metabolome, primarily affecting protein synthesis. Further research is needed to identify specific metabolite biomarkers and elucidate the underlying mechanisms.

Authors & Co-authors:  Tesfamariam Kokeb K Plekhova Vera V Gebreyesus Seifu H SH Lachat Carl C Alladio Eugenio E Argaw Alemayehu A Endris Bilal Shikur BS Roro Meselech M De Saeger Sarah S Vanhaecke Lynn L De Boevre Marthe M

Study Outcome 

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Statistics
Citations :  Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc: Ser B (Methodological) [Preprint]. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Authors :  11
Identifiers
Doi : 10.1007/s12550-024-00558-x
SSN : 1867-1632
Study Population
Female,Women,Mothers
Mesh Terms
Other Terms
BUNMAP;Biomarkers;LA-REIMS;Metabolic features;Metabolomics
Study Design
Cohort Study
Study Approach
Country of Study
Ethiopia
Publication Country
Germany