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Hong X, Zhao J, Yin J, Zhao F, Wang W, Ding X, Yu H, Ma X, Wang B. The association between the pre-pregnancy vaginal microbiome and time-to-pregnancy: a Chinese pregnancy-planning cohort study. BMC Med 2022; 20:246. [PMID: 35909180 PMCID: PMC9341075 DOI: 10.1186/s12916-022-02437-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/13/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Although sexually transmitted infections are regarded as the main cause of tubal infertility, the association between the common vaginal microbiome and female fecundability has yet to be determined. The objective of this study was to find convincing evidence relating to the impact of the vaginal bacterial structure on the fecundability of women planning pregnancy. METHODS We recruited women who took part in the Free Pre-pregnancy Health Examination Project from 13 June 2018 to 31 October 2018 (n = 89, phase I) and from 1 November 2018 to 30 May 2020 (n = 389, phase II). We collected pre-pregnancy vaginal swabs from each subject; then, we followed up each subject to acquire the pregnancy-planning outcome in 1 year. In phase I, 16S rRNA gene sequencing was performed to investigate the vaginal bacterial content between the pregnancy and non-pregnancy groups. These findings were verified in phase II by applying a quantitative real-time polymerase chain reaction for the measurement of the absolute abundance of specific species. Cox models were used to estimate fecundability ratios (FR) for each vaginal microbiome type. RESULTS In phase I, 59.6% (53/89) of women became pregnant within 1 year. The principal coordinate analysis showed that the pre-pregnancy vaginal microbial community structures of the pregnant and non-pregnant groups were significantly different (PERMANOVA test, R2 = 0.025, P = 0.049). The abundance of the genus Lactobacillus in the pregnancy group was higher than that of the non-pregnant group (linear discriminant analysis effect size (LDA) > 4.0). The abundance of the genus Gardnerella in the non-pregnant group was higher than those in the pregnant group (LDA > 4.0). In phase II, female fecundability increased with higher absolute loads of Lactobacillus gasseri (quartile Q4 vs Q1, FR = 1.71, 95%CI 1.02-2.87) but decreased with higher absolute loads of Fannyhessea vaginae (Q4 vs Q1, FR = 0.62, 95%CI 0.38-1.00). Clustering analysis showed that the vaginal microbiome of type D (characterized by a higher abundance of Lactobacillus iners, a lower abundance of Lactobacillus crispatus and Lactobacillus gassri) was associated with a 55% reduction of fecundability (FR = 0.45, 95%CI 0.26-0.76) compared with type A (featuring three Lactobacillus species, low Gardnerella vaginalis and Fannyhessea vaginae abundance). CONCLUSIONS This cohort study demonstrated an association between the pre-pregnancy vaginal microbiome and female fecundability. A vaginal microbiome characterized by a higher abundance of L. iners and lower abundances of L. crispatus and L. gasseri appeared to be associated with a lower fecundability. Further research now needs to confirm whether manipulation of the vaginal microenvironment might improve human fecundability.
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Affiliation(s)
- Xiang Hong
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China
| | - Jun Zhao
- National Research Institute for Family Planning, Beijing, China. .,National Human Genetic Resources Center, Beijing, China.
| | - Jiechen Yin
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China
| | - Fanqi Zhao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China
| | - Wei Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China
| | - Xiaoling Ding
- Maternal and Child Health Center of Gulou District, Nanjing, China
| | - Hong Yu
- Department of Obstetrics and Gynecology, Zhong Da Hospital, Southeast University, Nanjing, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China. .,National Human Genetic Resources Center, Beijing, China.
| | - Bei Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjiaqiao Rd., Gulou District, Nanjing, Jiangsu, China.
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Hong X, Yin J, Wang W, Zhao F, Yu H, Wang B. The current situation and future directions for the study on time-to-pregnancy: a scoping review. Reprod Health 2022; 19:150. [PMID: 35752834 PMCID: PMC9233796 DOI: 10.1186/s12978-022-01450-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 05/28/2022] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION As problems associated with infertility and population aging increase, there is a growing interest in the factors that cause a decline in human fertility. Time-to-pregnancy (TTP) is a good indicator with which to reflect human fecundability. Here, we present a comprehensive overview of this topic. METHODS Relevant qualitative and quantitative studies were identified by searching the Web of science and PubMed electronic databases. We included all literature, written in English, from inception to the 10th April 2021 providing the focus was on TTP. We conducted a narrative synthesis using thematic analysis. RESULTS Traditional TTP-related study protocols include prospective and retrospective cohorts that provide a wealth of data to reveal potential influences on TTP. Thus far, a variety of factors have been shown to be associated with TTP in couples preparing for pregnancy, including basic demographic characteristics, menstrual status, chronic disease status, environmental endocrine disruptor exposure, and lifestyles. However, there are inevitable epidemiological bias in the existing studies, including recall bias, selection bias and measurement bias. Some methodological advances have brought new opportunities to TTP research, which make it possible to develop precision interventions for population fertility. Future TTP studies should take advantage of artificial intelligence, machine learning, and high-throughput sequencing technologies, and apply medical big data to fully consider and avoid possible bias in the design. CONCLUSION There are many opportunities and future challenges for TTP related studies which would provide a scientific basis for the "precise health management" of the population preparing for pregnancy.
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Affiliation(s)
- Xiang Hong
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No.87 Dingjiaqiao Rd, Gulou District, Nanjing, Jiangsu, China
| | - Jiechen Yin
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No.87 Dingjiaqiao Rd, Gulou District, Nanjing, Jiangsu, China
| | - Wei Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No.87 Dingjiaqiao Rd, Gulou District, Nanjing, Jiangsu, China
| | - Fanqi Zhao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No.87 Dingjiaqiao Rd, Gulou District, Nanjing, Jiangsu, China
| | - Hong Yu
- Department of Obstetrics and Gynecology, Zhong Da Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Bei Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No.87 Dingjiaqiao Rd, Gulou District, Nanjing, Jiangsu, China.
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Hong X, Yin J, Wang W, Zhao F, Ding X, Yu H, Zhang X, Wang B. The associations between low abundance of Mycoplasma hominis and female fecundability: a pregnancy-planning cohort study. BMC Microbiol 2022; 22:121. [PMID: 35513786 PMCID: PMC9069813 DOI: 10.1186/s12866-022-02545-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/28/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE To explore the impact of pre-pregnancy vaginal Mycoplasma hominis (M. hominis) colonization of low abundance on female fecundability. METHODS In total, 89 females participating in a pre-pregnancy health examination program were included, and their pregnancy outcomes were followed up for 1 year. Vaginal swabs were collected, 16S rRNA genes were sequenced, and M. hominis colonization was confirmed by qPCR. Cox models were used to estimate the fecundability odds ratio (FOR) for women with M. hominis. RESULTS The prevalence of M. hominis was 22.47% (20/89), and the abundance was relatively low (the cycle thresholds of the qPCR were all more than 25). In terms of the vaginal microbiome, the Simpson index of the positive group was significantly lower than that of the negative group (P = 0.003), which means that the microbiome diversity appeared to increase with M. hominis positivity. The relative abundance of M. hominis was negatively correlated with Lactobacillus crispatus (rho = - 0.24, P = 0.024), but positively correlated with Gardnerella vaginalis, Atopobium vaginae and Prevotella bivia (P all < 0.05). The cumulative one-year pregnancy rate for the M. hominis positive group was lower than that in the negative group (58.96% vs 66.76%, log-rank test: P = 0.029). After controlling for potential confounders, the risk of pregnancy in the M. hominis positive group was reduced by 38% when compared with the positive group (FOR = 0.62, 95% CI: 0.42-0.93). CONCLUSION The vaginal colonization of M. hominis at a low level in pre-pregnant women is negatively correlated with female fecundability.
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Affiliation(s)
- Xiang Hong
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, 87#, Dingjiaqiao Road, Gulou District, Nanjing City, Jiangsu Province, China.
| | - Jiechen Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, 87#, Dingjiaqiao Road, Gulou District, Nanjing City, Jiangsu Province, China
| | - Wei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, 87#, Dingjiaqiao Road, Gulou District, Nanjing City, Jiangsu Province, China
| | - Fanqi Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, 87#, Dingjiaqiao Road, Gulou District, Nanjing City, Jiangsu Province, China
| | - Xiaoling Ding
- Maternal and Child Health Center of Gulou District, Nanjing, China
| | - Hong Yu
- Department of Obstetrics and Gynecology, Zhong Da Hospital, Southeast University, Nanjing, China
| | - Xuening Zhang
- Jiangsu Health Development Research Center, Nanjing, Jiangsu, China.
- NHC Key Laboratory of Contraceptives Adverse Reaction Surveillance, 277#, Fenghuangxi Road, Gulou District, Nanjing City, Jiangsu Province, China.
| | - Bei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, 87#, Dingjiaqiao Road, Gulou District, Nanjing City, Jiangsu Province, China.
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