Department of OB/GYN, Center for Research on Reproduction and Women's Health, Perelman School of Medicine, University of Pennsylvania, Biomedical Research Building II/III, 1351, 421 Curie Blvd, Philadelphia, PA, 19104-6160, USA.
Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Sci Rep. 2021 Nov 23;11(1):22794. doi: 10.1038/s41598-021-02304-0.
Biomechanical and molecular processes of premature cervical remodeling preceding spontaneous preterm birth (sPTB) likely result from interactions between the cervicovaginal microbiota and host immune responses. A non-optimal cervicovaginal microbiota confers increased risk of sPTB. The cervicovaginal space is metabolically active in pregancy; microbiota can produce, modify, and degrade metabolites within this ecosystem. We establish that cervicovaginal metabolomic output clusters by microbial community in pregnancy among Black individuals, revealing increased metabolism within the amino acid and dipeptide pathways as hallmarks of a non-optimal microbiota. Few differences were detected in metabolomic profiles when stratified by birth outcome. The study raises the possibility that metabolites could distinguish women with greater risk of sPTB among those with similar cervicovaginal microbiota, and that metabolites within the amino acid and carbohydrate pathways may play a role in this distinction.
早产(sPTB)前宫颈重塑的生物力学和分子过程可能是由于宫颈阴道微生物群与宿主免疫反应之间的相互作用所致。非最佳的宫颈阴道微生物群会增加 sPTB 的风险。在妊娠期间,宫颈阴道空间具有代谢活性;微生物群可以在这个生态系统中产生、修饰和降解代谢物。我们发现,在黑人个体中,微生物群落会使妊娠期间的宫颈阴道代谢组学输出聚类,这表明氨基酸和二肽途径的代谢增加是微生物群非最佳的标志。根据分娩结果对代谢组学图谱进行分层时,几乎没有发现差异。该研究提出了一种可能性,即代谢物可以区分那些具有相似宫颈阴道微生物群但 sPTB 风险更高的女性,并且氨基酸和碳水化合物途径内的代谢物可能在这种区分中起作用。