PEDEGO (Pediatrics, Dermatology, Gynecology, Obstetrics) Research Unit and Medical Research Center Oulu, University of Oulu, P.O. Box 5000, 90014, Oulu, Finland.
Ecology and Genetics, Faculty of Science, University of Oulu, Oulu, Finland.
Sci Rep. 2021 Sep 1;11(1):17483. doi: 10.1038/s41598-021-97007-x.
Delivery mode and perinatal antibiotics influence gut microbiome composition in children. Most microbiome studies have used the sequencing of the bacterial 16S marker gene but have not reported the metabolic function of the gut microbiome, which may mediate biological effects on the host. Here, we used the PICRUSt2 bioinformatics tool to predict the functional profiles of the gut microbiome based on 16S sequencing in two child cohorts. Both Caesarean section and perinatal antibiotics markedly influenced the functional profiles of the gut microbiome at the age of 1 year. In machine learning analysis, bacterial fatty acid, phospholipid, and biotin biosynthesis were the most important pathways that differed according to delivery mode. Proteinogenic amino acid biosynthesis, carbohydrate degradation, pyrimidine deoxyribonucleotide and biotin biosynthesis were the most important pathways differing according to antibiotic exposure. Our study shows that both Caesarean section and perinatal antibiotics markedly influence the predicted metabolic profiles of the gut microbiome at the age of 1 year.
分娩方式和围产期抗生素会影响儿童的肠道微生物组组成。大多数微生物组研究都使用细菌 16S 标记基因的测序,但没有报告肠道微生物组的代谢功能,而肠道微生物组可能介导对宿主的生物学效应。在这里,我们使用 PICRUSt2 生物信息学工具,根据两个儿童队列的 16S 测序,预测肠道微生物组的功能谱。剖宫产和围产期抗生素都显著影响了 1 岁时肠道微生物组的功能谱。在机器学习分析中,根据分娩方式的不同,细菌脂肪酸、磷脂和生物素生物合成是最重要的途径。根据抗生素暴露的不同,蛋白质氨基酸生物合成、碳水化合物降解、嘧啶脱氧核苷酸和生物素生物合成是最重要的途径。我们的研究表明,剖宫产和围产期抗生素都显著影响 1 岁时肠道微生物组的预测代谢谱。