» Articles » PMID: 37304851

Associations Between the Gut Microbiota, Urinary Metabolites, and Diet in Women During the Third Trimester of Pregnancy

Overview
Journal Curr Dev Nutr
Date 2023 Jun 12
PMID 37304851
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Pregnancy causes many metabolic and physiologic changes. However, associations between gut microbiota, dietary intake, and urinary metabolites are poorly characterized in pregnant women.

Objectives: The research objective was to identify dietary and microbial associations with urinary metabolites during pregnancy to elucidate potential biomarkers and microbial targets to improve maternal-fetal health. This is a secondary outcome of the study.

Methods: Pregnant women ( = 27) in the Pregnancy EAting and POstpartum Diapers pilot study provided dietary intake information in addition to fecal and urine samples at 36 wk gestation. The gut microbiota was characterized following fecal DNA extraction and 16S rRNA gene sequencing. Urinary metabolites were identified using liquid chromatography high-resolution mass spectrometry.

Results: Urinary glycocholate was consistently and negatively correlated with α-carotene intake. There were 9 significant correlations between microbial taxa and urinary metabolites and 13 significant correlations between microbial taxa and dietary intake. On average, were the most abundant taxon in the participants' gut microbiotas. Notably, the gut microbiotas of some pregnant women were not dominated by this taxon. -dominant women consumed more protein, fat, and sodium, and their gut microbiotas had lower alpha diversity than those of nondominant participants.

Conclusions: Several urinary metabolites and microbial taxa were associated with maternal diet and gastrointestinal community composition during the third trimester of pregnancy. Future work should determine the mechanisms underlying the associations identified herein.

Citing Articles

Emerging role of the host microbiome in neuropsychiatric disorders: overview and future directions.

Hashimoto K Mol Psychiatry. 2023; 28(9):3625-3637.

PMID: 37845499 PMC: 10730413. DOI: 10.1038/s41380-023-02287-6.


Feasibility of a Food Delivery Intervention during Pregnancy in a Rural US Population: The PEAPOD Pilot Study.

Kerver J, Khiraya Y, Gryc J, Gardiner J, Comstock S Nutrients. 2023; 15(4).

PMID: 36839174 PMC: 9958944. DOI: 10.3390/nu15040816.

References
1.
Johnson A, Vangay P, Al-Ghalith G, Hillmann B, Ward T, Shields-Cutler R . Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans. Cell Host Microbe. 2019; 25(6):789-802.e5. DOI: 10.1016/j.chom.2019.05.005. View

2.
Tedjo D, Jonkers D, Savelkoul P, Masclee A, van Best N, Pierik M . The effect of sampling and storage on the fecal microbiota composition in healthy and diseased subjects. PLoS One. 2015; 10(5):e0126685. PMC: 4449036. DOI: 10.1371/journal.pone.0126685. View

3.
Yu M, Dolios G, Yong-Gonzalez V, Bjorkqvist O, Colicino E, Halfvarson J . Untargeted metabolomics profiling and hemoglobin normalization for archived newborn dried blood spots from a refrigerated biorepository. J Pharm Biomed Anal. 2020; 191:113574. PMC: 7899729. DOI: 10.1016/j.jpba.2020.113574. View

4.
Yuan W, Zhang J, Li S, Edwards J . Amine metabolomics of hyperglycemic endothelial cells using capillary LC-MS with isobaric tagging. J Proteome Res. 2011; 10(11):5242-50. DOI: 10.1021/pr200815c. View

5.
Pickard J, Zeng M, Caruso R, Nunez G . Gut microbiota: Role in pathogen colonization, immune responses, and inflammatory disease. Immunol Rev. 2017; 279(1):70-89. PMC: 5657496. DOI: 10.1111/imr.12567. View