Metagenomics Analysis of Race and Age influence on the Vaginal Microbiome in Pregnant and Non-pregnant Healthy Women
Abstract Various human body parts are host to many microbial species and have a mutualistic relationship with them. The presence of these microbial species in reproductive tubes plays an essential protective role against the proliferation of harmful organisms and is an important factor in reproductive health. The vaginal microbiota during pregnancy plays a vital role in the health of the mother and the infant. Microbiota imbalance during pregnancy is associated with many complications. As a result, the detection of vaginal microbiota during pregnancy can reduce the risk of these problems. High-throughput culture-independent technologies allow the study of vaginal microbiome on a large scale. This study aimed to compare the vaginal microbiota between pregnant and non-pregnant healthy women of different age or race using the meta-analysis method. The results from 7 articles having 16S rRNA gene sequences, were extracted and analyzed by CLC. Data from 898 pregnant and 702 non-pregnant women showed that the Bacilli, Clostridia, Actinobacteria and Coriobacteria were the dominant classes in pregnancy. The vaginal microbiota in normal non-pregnancy is also predominated by Bacilli. Still, beta diversity maps demonstrated that non-pregnant vaginal microbiome is more variable than that in the pregnant state. This study reveals new insights into age and ethnic effects on the pregnant and non-pregnant vaginal microbiome and found that the microbiome of Chinese women was more distinct than the other races. It was also detected that the relative number of bacterial classes is dramatically lower in women above the age of 35 relative to younger ones.