title: Predictive value of the composition of the vaginal microbiota in bacterial vaginosis, a dynamic study to identify recurrence-related flora.
abstract: Bacterial vaginosis (BV) is a highly prevalent disease in women, and increases the risk of pelvic inflammatory disease. It has been given wide attention because of the high recurrence rate. Traditional diagnostic methods based on microscope providing limited information on the vaginal microbiota increase the difficulty in tracing the development of the disease in bacteria resistance condition. In this study, we used deep-sequencing technology to observe dynamic variation of the vaginal microbiota at three major time points during treatment, at D0 (before treatment), D7 (stop using the antibiotics) and D30 (the 30-day follow-up visit). Sixty-five patients with BV were enrolled (48 were cured and 17 were not cured), and their bacterial composition of the vaginal microbiota was compared. Interestingly, we identified 9 patients might be recurrence. We also introduced a new measurement point of D7, although its microbiota were significantly inhabited by antibiotic and hard to be observed by traditional method. The vaginal microbiota in deep-sequencing-view present a strong correlation to the final outcome. Thus, coupled with detailed individual bioinformatics analysis and deep-sequencing technology, we may illustrate a more accurate map of vaginal microbial to BV patients, which provide a new opportunity to reduce the rate of recurrence of BV.
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Xi'anmen Street, Beijing 100034, China.
authors.forename: Bingbing
authors.initials: B
authors.lastname: Xiao
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Xi'anmen Street, Beijing 100034, China.
authors.forename: Xiaoxi
authors.initials: X
authors.lastname: Niu
authors.affiliation: State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
authors.forename: Na
authors.initials: N
authors.lastname: Han
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Xi'anmen Street, Beijing 100034, China.|Department of Obstetrics and Gynecology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.
authors.forename: Ben
authors.initials: B
authors.lastname: Wang
authors.affiliation: Beijing Key Laboratory of Emerging Infectious Diseases, Beijing 100015, China.|Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
authors.forename: Pengcheng
authors.initials: P
authors.lastname: Du
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Xi'anmen Street, Beijing 100034, China.
authors.forename: Risu
authors.initials: R
authors.lastname: Na
authors.affiliation: State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.|Beijing Key Laboratory of Emerging Infectious Diseases, Beijing 100015, China.|Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Chen
authors.affiliation: Department of Obstetrics and Gynecology, Peking University First Hospital, Xi'anmen Street, Beijing 100034, China.|Department of Obstetrics and Gynecology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.
authors.forename: Qinping
authors.initials: Q
authors.lastname: Liao
mesh_terms: D000293:Adolescent; D000328:Adult; D000900:Anti-Bacterial Agents / Q000008:administration & dosage; D005260:Female; D005500:Follow-Up Studies; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D064307:Microbiota; D008875:Middle Aged; D011237:Predictive Value of Tests; D016585:Vaginosis, Bacterial / Q000188:drug therapy / Q000382:microbiology*
chemical_list: D000900:Anti-Bacterial Agents