Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

MOMMI-MP: A Comprehensive Database for Integrated Analysis of Metabolic and Microbiome Profiling of Mouse Pregnancy

Version 1 : Received: 19 December 2022 / Approved: 21 December 2022 / Online: 21 December 2022 (02:53:39 CET)

How to cite: Pachpor, K.; Priyadarshini, M.; Reiman, D.; Layden, B.T.; Dai, Y. MOMMI-MP: A Comprehensive Database for Integrated Analysis of Metabolic and Microbiome Profiling of Mouse Pregnancy. Preprints 2022, 2022120378. https://doi.org/10.20944/preprints202212.0378.v1 Pachpor, K.; Priyadarshini, M.; Reiman, D.; Layden, B.T.; Dai, Y. MOMMI-MP: A Comprehensive Database for Integrated Analysis of Metabolic and Microbiome Profiling of Mouse Pregnancy. Preprints 2022, 2022120378. https://doi.org/10.20944/preprints202212.0378.v1

Abstract

Pregnancy is a dynamic state with multiple metabolic changes occurring including insulin resistance. Gestational diabetes mellitus (GDM), a form of diabetes that appears during pregnancy, develops if metabolic aberrations occur, in particular, in normal pregnancy-induced insulin resistance. Multi-omics is a powerful approach for uncovering the mechanisms driving metabolic change in different physiologic and pathologic states. A recent study demonstrated that the gestational gut microbiome mediates pregnancy metabolic adaptations through effects on gut indoleamine-2,3 dioxygenase 1 activity and the production of kynurenine. Using the dataset generated from this highly controlled study, we performed a comprehensive analysis of the pregnancy-specific physiological and metabolic profiles, 16S rRNA microbiome, and plasma untargeted LC-MS metabolome data. To facilitate the utilization of these analysis results by other researchers, we developed MOMMI-MP, a database that provides an easy-to-use platform to browse and search differential abundant microbial taxa and metabolites, and to examine metabolic pathways. The datasets consist of data collected from 3 genetically diverse strains of mice (C57BL/6J, CD1, and NIH-Swiss) over 6 time points during the gestational (days 0, 10, 15, and 19 during gestation) and postpartum (days 3 and 20 after delivery) states, totaling 180 samples for each strain. The computational results are presented in various tables and plots, and organized in MOMMI-MP to empower exploratory analyses by other researchers. In conclusion, MOMMI-MP is a resource to facilitate the investigation of novel mechanisms governing metabolic changes during pregnancy.

Keywords

Gestational diabetes mellitus; Insulin resistance; Microbiome; Metabolome; Database; Differential abundance; Correlation; Pathways

Subject

Medicine and Pharmacology, Gastroenterology and Hepatology

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