Padiyar Swetha, Nandakumar Vanishree, Kollikonda Swapna, Karnati Sreenivas, Sangwan Naseer, Aly Hany
Neonatology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Division of Neonatology, Cleveland Clinic Children's, Cleveland, OH, USA.
iScience. 2024 Jun 21;27(10):110312. doi: 10.1016/j.isci.2024.110312. eCollection 2024 Oct 18.
Preterm birth is the leading cause of neonatal mortality and morbidity. Microbiome dysbiosis in the mother and infant may contribute to their adverse outcomes. 16S rRNA amplicon sequencing was performed on all samples. Phyloseq, microbiomeSeq, and NetCoMi were utilized for bioinformatics analysis. Statistical tests included the Wilcoxon test, ANOVA, permutational multivariate analysis of variance (PERMANOVA), and linear regression. Statistical significance was set at value <0.05. The establishment of an infant's microbiome most likely begins and is influenced by the maternal microbiome. Infants' samples were enriched with . There is a complex interplay among the microbial taxa noticeable at birth, exhibiting variability in interaction within the same host and across different hosts. Both maternal and infant microbiomes influence the anthropometric measures determined at birth, and a sex-based difference in correlation exists. This study highlights the potential role of maternal and infant microbiomes in improving pregnancy and neonatal outcomes.
早产是新生儿死亡和发病的主要原因。母婴微生物群失调可能导致不良后果。对所有样本进行了16S rRNA扩增子测序。使用Phyloseq、microbiomeSeq和NetCoMi进行生物信息学分析。统计检验包括Wilcoxon检验、方差分析、置换多元方差分析（PERMANOVA）和线性回归。统计学显著性设定为P值<0.05。婴儿微生物群的建立很可能始于母体微生物群并受其影响。婴儿样本富含……。出生时微生物类群之间存在复杂的相互作用，在同一宿主内和不同宿主之间的相互作用表现出变异性。母婴微生物群均会影响出生时测定的人体测量指标，且存在基于性别的相关性差异。本研究强调了母婴微生物群在改善妊娠和新生儿结局方面的潜在作用。
