Skip to main content

Transition of the genital mollicutes from the second to the third trimester of pregnancy and its association with adverse pregnancy outcomes in GDM women: a prospective, single-center cohort study from China

Abstract

Background

The association of genital Mollicutes infection transition with adverse pregnancy outcomes was insignificant among general pregnant women, but there remains a paucity of evidence linking this relationship in gestational diabetes mellitus (GDM) women. The aim was to investigate the association between genital Mollicutes infection and transition and adverse pregnancy outcomes in GDM women, and to explore whether this association still exist when Mollicutes load varied.

Methods

We involved pregnant women who attended antenatal care in Chongqing, China. After inclusion and exclusion criteria, we conducted a single-center cohort study of 432 GDM women with pregnancy outcomes from January 1, 2018 to December 31, 2021. The main outcome was adverse pregnancy outcomes, including premature rupture of membrane (PROM), fetal distress, macrosomia and others. The exposure was Mollicutes infection, including Ureaplasma urealyticum (Uu) and Mycoplasma hominis (Mh) collected in both the second and the third trimesters, and testing with polymerase chain reaction method. The logistic regression models were used to estimate the relationship between Mollicutes infection and adverse pregnancy outcomes.

Results

Among 432 GDM women, 241 (55.79%) were infected with genital Mollicutes in either the second or third trimester of pregnancy. At the end of the pregnancy follow-up, 158 (36.57%) participants had adverse pregnancy outcomes, in which PROM, fetal distress and macrosomia were the most commonly observed adverse outcomes. Compared with the uninfected group, the Mollicutes (+/-) group showed no statistical significant increase in PROM (OR = 1.05, 95% CI:0.51 ∼ 2.08) and fetal distress (OR = 1.21, 95% CI: 0.31 ∼ 3.91). Among the 77 participants who were both Uu positive in the second and third trimesters, 38 participants presented a declined Uu load and 39 presented an increased Uu load. The Uu increased group had a 2.95 odds ratio (95% CI: 1.10~8.44) for adverse pregnancy outcomes.

Conclusion

Mollicutes infection and transition during trimesters were not statistically associated with adverse pregnancy outcomes in GDM women. However, among those consistent infections, women with increasing Uu loads showed increased risks of adverse pregnancy outcomes. For GDM women with certain Mollicutes infection and colonization status, quantitative screening for vaginal infection at different weeks of pregnancy was recommended to provide personalized fertility treatment.

Peer Review reports

Introduction

Gestational diabetes mellitus (GDM), which is defined by the World Health Organization as glucose intolerance first recognized during pregnancy, has drawn global concern [1, 2]. The GDM incidence is alarming, affecting 14.8% of pregnant women in China [3] and presenting an increasing trend worldwide [4]. Researchers found that GDM was associated with a range of adverse pregnancy outcomes, such as preeclampsia, macrosomia, respiratory distress syndrome and so on [5]. Meanwhile, genital Mollicutes infection is a threat to reproductive health of females and the most common pathogens were Ureaplasma urealyticum (Uu) and Mycoplasma hominis (Mh). Previous studies found that genital Mollicutes infection was a risk factor for pregnant women and infants’ health [6, 7], and was related to sex hormone variation [8]. In practice, the association between hyperglycemia and the risk of infection has been well-established [9, 10]. Nevertheless, the association of Mollicutes infection and its load transition during trimesters on adverse pregnancy outcomes among GDM pregnant women has not been conclusively established.

Previous studies on genital infection and adverse pregnancy outcomes were conducted in observational studies of pregnant women with and without diabetic conditions during pregnancy [11,12,13], and no prospective cohort study has been conducted merely in the GDM population. Due to the specificity of genital Mollicutes in GDM patients and limited sample size, previous studies did not evaluate the infection of certain Mollicutes like Mh or Uu, nor did they explore the transition of Mollicutes from the second to the third trimester of pregnancy in GDM patients, nor did they explore Mollicutes load variation and adverse pregnancy outcomes. Considering the non-reassurance of embryo implantation, ectoplacental cavities and fetal status and low feasibility in the early trimester, vaginal swabs were conducted in the second and third trimester of pregnancy [14]. Therefore, we conducted a prospective, single-center cohort study to investigate whether genital Uu and Mh infection and their transition during trimesters were associated with adverse pregnancy outcomes in GDM patients, to assess the risk of adverse pregnancy outcomes with infection in both trimesters, and to further analyze the relationship between Mollicutes load variation and outcomes.

Methods

Study participants

This prospective cohort study was reviewed and initiated by a 3 A level hospital in Chongqing, China to reduce the incidence of adverse pregnancy outcomes. We involved 2974 pregnant women planning to deliver at this hospital before their second trimester of pregnancy to enroll in our project from January 1, 2018 to December 31, 2021. After signing written informed consent, they completed pregnancy examinations and patient files and were followed up on delivery outcomes until pregnancy. All participants were involved before the second trimester of pregnancy. We included pregnant women who met the following criteria: (1) aged 20–49 years; (2) were willing to be followed until through pregnancy; (3) singleton gestation; (4) diagnosed with GDM, which followed the guidelines for the prevention and control of type 2 diabetes in China (2020 Edition) [15]. Women were excluded if they (1) rejected vaginal swab collection during any trimester of pregnancy; (2) taking antibiotics drugs within 30 days before vaginal swab collection (Fig. 1). Finally, 432 participants with GDM were included in this study. This study was authorized by the Institutional Ethics Committees of this hospital (Approval notice: 20,204,402), abided by the Declaration of Helsinki, and followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Fig. 1
figure 1

Flowchart for the study population

Study procedure

All participants were recruited and set up their initial prenatal files for the first time coming to the antenatal care center in the first trimester of pregnancy. Regular general and obstetric examinations were carried out every two to four weeks during trimesters. Pregnancy outcomes were observed and classified after delivery. Trained clinical physicians collected participants’ self-reported sociodemographic characteristics (including age and educational level) and menstrual/reproduction history (including pregnancy history and menstrual regularity) through standardized questionnaires through face-to-face interviews. Participants’ health status/lifestyles (including body mass index (BMI), alcohol intake, tobacco exposure, hypertension, cholesterol and hepatic functional markers) were obtained by questionnaires, physical examinations, or biochemical analyses. Participants would not be intervened or treated if merely colonized with Mollicutes based on current consensus on the diagnosis and treatment of mycoplasma by China Institute of Medical Professional Committee of the Reproductive Tract Infection Group [16].

Swabs were collected from all participants twice during the second and the third trimester (before 34 weeks of gestation) respectively at the lithotomy site. During the speculum examination, the gynecologist gently scrubbed the vaginal secretions with dry sterile cotton swabs from the posterior fornix by rotating them three times. Collected swabs were stored immediately upon collection in drying tubes with identification labels and transferred into a special collection container with a temperature of 4 Â°C. Furthermore, they were then placed in a -80 Â°C refrigerator until DNA extraction procedure was conducted. Drikold was utilized for sample transportation.

Exposure measurements

DNA was isolated from vaginal swabs using Tiangen bacterial genome DNA extraction kit (TIANGEN, Beijing, China) and was used for template. Genital Mollicutes, including Mh and Uu, were assessed by polymerase chain reaction (PCR) amplification with 2 µL of template (extracted DNA), 1 µL of primer sets (Supplement Table 1), 12.5 µL of Taq polymerase and 8.5 µL of sterilized water. The PCR amplification protocol was as follows: 5 min at 95 Â°C for initial denaturation, then 40 cycles of 30 s at 95 Â°C for denaturing and 40 s at 58–60 Â°C for annealing and extension at 72 Â°C for 5 min. A 1% agarose gel-electrophoresis was performed to confirm the size of the PCR product. PCR and get-electrophoresis tests were performed within the second trimester and the third trimester of vaginal swabs of each participant.

After detecting a positive result of genital Mollicutes between the two pregnancy trimesters, quantitative PCRs (qPCRs) proceeded to figure out the quantitative load transition in genital tract from the second to the third trimester. The standard curve was made through the plasmid standard to quantified number of Uu. For the standard curve, a 10-fold serial dilution of the plasmid was prepared.

Each qPCR reaction system contained 20 µL, including 10 µL of SYBR qPCR Master Mix (Vazyme, Nanjing, China), 2 µL of DNA template, 0.4 µL of each primer, and 7.2 µL of sterile water. qPCR cyclic conditions started from initial denaturation at 94 Â°C for 30s, followed by 40 cycles of denaturation at 94 Â°C for 10 s, annealing at 58 Â°C for 30 s and extension. DNA templates were replaced with sterile water as no template controls. All samples were detected three times to ensure accuracy of the experimental results and to avoid errors caused by the operation. qPCR results were presented as threshold cycle (Ct) values. All participants were grouped based on the second and third trimester infection status as: uninfected (-/-), merely infected in the second trimester (+/-), merely infected in the third trimester (-/+), infected in both trimesters (+/+). Among those who were infected in both trimesters, Mollicutes load variation was calculated by ΔCt value, which was obtained by subtracting Ct in the third trimester from Ct in the second trimester for each participant. As Ct values were used as a proxy for viral load, with lower Ct values representing higher viral loads, ΔCt less than 0 was considered as reduced Mollicutes load from the second to the third trimester, and vice versa.

Ascertainment of outcome

The main outcome was pregnancy outcomes, which included normal and adverse pregnancy outcomes. Adverse pregnancy outcomes included adverse maternal and fetal outcomes, containing premature rupture of membrane (PROM), fetal distress, macrosomia and others (oligohydramnios, polyhydramnios, placental abruption, chorioamnionitis, placenta accrete or percreta, amniotic fluid pollution, severe preeclampsia, postpartum haemorrhage, cholestasis of pregnancy, low birthweight, fetal growth restriction and birth defects). PROM was defined as rupture of membranes before the onset of labor [17]. Fetal distress was defined as any one of the following: meconium, fetal heart rate > 160, fetal heart rate < 120 bpm or abnormal electronic fetal heart rate monitoring [18]. Macrosomia was defined as birth weight ≥ 4000 g [19]. Oligohydramnios and polyhydramnios were defined as an amniotic fluid index of 5 cm or less and 24 cm or more [20], respectively. Placental abruption was defined as the premature separation of the implanted placenta before delivery [21]. Chorioamnionitis was defined as clinical suspicion of chorioamnionitis by obstetricians and later proven on placental histopathology [22]. A normal pregnancy outcome was defined as a full-term (delivery at or after the 37th week of pregnancy) live birth without the above mentioned abnormal outcomes [23].

Covariates definition

This study selected covariates based on previous research on adverse pregnancy outcomes or genital infections. BMI was calculated by weight/height2 (kg/m2) and then categorized into 3 groups: underweight (< 18.5 kg/m2), normal weight (18.5–23.9 kg/m2), overweight and obese (≥ 24 kg/m2). We defined alcohol intake as drinking once a week, no matter how much alcohol is consumed. Tobacco exposure was defined as either active (smoking 1 cigarette per day for at least 1 year) or passive (exposure to environmental tobacco smoke on a daily basis). Hypertension referred to systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg. Biochemical analyses were categorized based on the reference value in local laboratory. Clinical categories were combined if the maximum or minimum value was included in the reference value.

Statistical analysis

For sample size calculation, the cohort study design was considered. A ratio of one uninfected woman for each infected woman was considered, with an adverse pregnancy occurrence of 0.16 in the uninfected and 0.46 in the infected group [24], which was estimated to achieve a confidence level of 95% and a power of 90%. Given an expected dropout rate of 10%, a minimum sample of 100 participants was estimated. Considering sufficient samples are essential in each subgroup, we enrolled as many participants as possible.

We described the baseline characteristics of the study population in terms of means (standard deviation) and counts (percentages). Student’s t-test, analysis of variance (ANOVA), Chi-square test and Fisher exact test were used to analyze the differences between groups. The logistic regression models were used to estimate odds ratios (ORs) and corresponding 95% confidence intervals (CIs). Adjustments were made among covariates which were different at baseline among groups. For the total participants, model A was adjusted for tobacco exposure and alcohol intake. Similarly, for participants infected in both trimesters, model A was adjusted for total cholesterol level. Analyses were conducted using R statistical software (version 4.1.3). Sample size was calculated using PASS software (version 15). A two-sided p-value < 0.05 was considered statistically significant.

Results

Among these 432 female participants, 241 (55.79%) were infected with genital Mollicutes in either the second or third trimester of pregnancy. Among them, 142 (21.87%) were infected with Uu and 6 (1.38%) were infected with Mh during the second trimester, and the infection rates increased in the third trimester (39.12% and 2.78% for Uu and Mh, respectively). The proportion of participants with tobacco exposure and alcohol intake were statistically lower among participants who were merely infected in the third trimester. The baseline characteristics of the study population were presented in Table 1. Clinical biochemical analyses were shown in Table 2.

Table 1 Baseline characteristics of the study population
Table 2 Clinical biochemical analyses of the study population

At the end of the pregnancy follow-up period, 158 (36.57%) GDM participants had adverse pregnancy outcomes. When further stratified by Mollicutes clade, participants with Uu infection in both trimesters presented slightly lower adverse pregnancy outcome rates ((-/-), (+/-), (-/+), (+/+): 37.37%, 35.38%, 36.96% and 35.06% respectively), while participants with Mh infection presented a wide range ((-/-), (+/-), (-/+), (+/+): 37.50%, 25.00%, 10.00% and 0.00% respectively) because of the low prevalence rate of Mh in pregnant women in China. However, there was no statistical significance between the four infection statuses (Table 3).

Table 3 Association of different genital Mollicutes infection statuses in the second and the third trimester with adverse pregnancy outcomes

Among those in all pregnancy outcomes, PROM was the most commonly observed adverse pregnancy outcome (22.69%), which was also true when grouped by infection status and period, regardless of whether participants were uninfected (22.51%), merely infected in the second trimester (21.54%), merely infected in the third trimester (22.11%) or infected in both trimesters (24.69%). The second and third rank of adverse pregnancy outcomes were fetal distress (4.63%) and macrosomia (3.01%). Compared with the uninfected group, the Mollicutes (+/-) group showed a slightly increased odds ratio in PROM and fetal distress after adjustment (Table 4). All infection statuses had lower ORs in macrosomia and other adverse pregnancy outcomes (Table 4). This was also true after adjustment. However, no statistical significance was observed due to the small sample size after grouping by infection status from a low Mollicutes infection rate.

Table 4 Association of different genital Mollicutes infection statuses in the second and the third trimester with premature rupture of membrane, fetal distress macrosomia and other adverse pregnancy outcomes

We further performed quantification Uu load detection among the 77 participants who were both positive in the second and third trimesters. Because of the low prevalence rate of Mh, we did not consider the situation of Mh infection, including 2 participants with Uu (-/+) coinfected with Mh (+/-) and 2 participants with Uu (+/-) coinfected with Mh (-/+). Based on Uu load detection, the mean (SD) Ct values in the second and third trimesters were 27.04 (3.61) and 27.02 (3.27), respectively. Among them, 38 participants presented a declined Uu load (Uu declined group) and 39 presented an increased Uu load (Uu increased group) from the second to third pregnancy trimester. The baseline characteristics and biochemical analyses were shown in Supplement Tables 2 and 3. The incidence of adverse pregnancy outcomes was 35.06% in Uu (+/+) patients with GDM. The participants in the Uu declined group had an incidence of 23.69% adverse pregnancy outcome, which was statistically lower than that in participants in Uu increased group (46.16%) (Table 5). Uu increased group had a 2.95 odds ratio (95% CI: 1.10 ∼ 8.44) for adverse pregnancy outcomes compared with Uu declined group (Table 5). The top four frequent adverse events were PROM, fetal distress, macrosomia and chorioamnionitis, which was similar to observation among the total participants.

Table 5 Association of genital Ureaplasma urealyticum load change with adverse pregnancy outcomes according to women infected in both trimesters

Discussion

There are nearly one-fifth of pregnant women are diagnosed with GDM in mainland China [25], which is significantly higher than global average estimates [26], providing the feasibility of population basis for this study. With the resurgence of mycoplasma infection, especially in infants and children this autumn, continuous surveillance has been again put on the agenda [27]. Based on our pregnancy cohort, we found that genital Mollicutes varied in different stages of GDM pregnancies, which was similar to previous study [28]. Moreover, we explored that one third of GDM patients had adverse pregnancy outcomes, and it was pronounced in patients with increased Uu load among those with consistent Uu colonization, thereby filling some gaps in the field.

Previous population studies on the association between genital tract infection and adverse pregnancy outcomes have shown inconsistent results. Dalia et al. found that genital bacterial infections were significantly associated with PROM in GDM patients in India [29]. Observational studies found that abnormal flora was associated with PROM, puerperal infection and chorioamnionitis [30] among women with GDM [31]. Xiao et al. additionally found increased postpartum hemorrhage and fetal distress [32]. However, a meta-analysis suggested no association between genital Mollicutes infection and PROM or abnormal birth weight [33]. It is worth mentioning that prior relevant studies have mainly focused on the association between women with genital tract infection and adverse pregnancy outcomes, and few studies have focused on the exposure of Mollicutes infection leading to adverse pregnancy outcomes, let alone in the subgroup of the large GDM population. These alternative results were similar to ours.

Limited previous studies based on GDM patients only focused on transition of regular genital bacterial infections, ignoring the persistent colonization of ureaplasma, which was a non-bacterial and non-fungal microbiome, and its adverse effects. Therefore, studies assessing the correlation between Mollicutes transition and adverse pregnancy outcomes in GDM populations are rare. A multi-central cohort study on 127 GDM women found that Uu and Mh presented higher prevalence rates after the 28th gestational week [28]. Dalia et al. found that bacterial infection varied from the second to the third trimester, and infection at any time was positively related to PROM in pregnant women with GDM [29]. With 1.4 billion people, China has a highly diverse vaginal environment compared to other ethnic groups, providing a wide range of possibilities to assess the load transition among women with consistent Mollicutes infection and colonization. We unexpectedly found that the association between Uu infection and adverse pregnancy outcomes was more pronounced in women with increased Uu load than with decreased Uu load in a longer infection and colonization period.

There is no clear mechanism explanation for how Mollicutes infection transition in a longer colonization period results in adverse pregnancy outcomes [34]. Hypotheses were focused on the long term effects of epithelial cell damage and chronic inflammation. For PROM and chorioamnionitis, some findings suggested that ureaplasma infection was associated with cervical epithelial cell damage [35], leading to a more substantial possibility of increased ascending infection. After cervical damage occurred, there were significant increases in both ureaplasma titres increase and ascending ureaplasma infection [36], which appeared to be correlated with PROM [37, 38] and chorioamnionitis [39]. Notably, these infections may also trigger chronic inflammation and affect local and cellular immunity in the cervix. Ioannis [36] found that ureaplasma infection stimulates the production of proinflammatory cytokines, reflected by the significant positive relationship of levels of cytokine expression and ureaplasma derived gene ureC through TLR signalling, especially increased TNFα, IL-1β, CXCL-1 and CXCL-2 cytokine expression in foetal membranes, placenta and the myometrium. In in vitro studies, ureaplasma had similar upregulate effects in TNFα, IL-1β, IL-6 and IL-8 [40,41,42], which were commonly associated with PROM or chorioamnionitis [43]. It may be speculated that induction of PROM and chorioamnionitis might be a consequence of an infection-mediated inflammatory response via the increase of ureaplasma load during pregnancy, promoting the release of several inflammatory factors. For fetal distress and macrosomia, the hypotheses about the mechanism were mainly focused on the possible indirect effect of infection on blood glucose elevation. Infection status would substantially alter the norm of blood glucose dynamics despite injecting insulin and reducing carbohydrate consumption [44]. The increase of infection related indexes, for example, serum levels of IL-1β, TNF-α, and IL-6, were significantly associated with a blood glucose rise [45]. By exacerbating inflammation and further increasing hyperglycemia, which was strongly associated with macrosomia [46] and fetal distress [47], the increase of ureaplasma load showed a greater effect in adverse pregnancy outcomes. However, the direct mechanism of Uu load transition, GDM and adverse pregnancy outcomes still remain unclear.

The present study has several strengths. First, in contrast to previous studies that focus on populations comparing healthy and GDM pregnant women, we for the first time focused on the high risk group to further investigate the association between genital Mollicutes infection and adverse pregnancy outcomes in a prospective cohort of GDM pregnancy women, embodied the population of such studies. Second, we assessed for the first time the adverse pregnancy outcome of GDM women with infection transition during trimesters. Third, we performed Mollicutes load based on Uu and found that the association between Uu infection and adverse pregnancy outcomes was more pronounced in GDM pregnant women with increased Uu load.

Limitations

Our first limitation was human, material, and financial constraints which prevented us from collecting more detailed data on Mollicutes infection status, such as the exact time of Mollicutes infection, multiple genital infection tests, complications or treatment information, which limited further in-depth analysis of GDM with different infection status. Second, we merely detected common Mollicutes in female genital tract, neglecting the infection of Mycoplasma Genitalium because of its low prevalence rate. Third, since the blood glucose level was not monitored during the whole pregnancy trimester and GDM status was transformed into categorical dichotomous data, we were unable to perform further subgroup analysis such as classified glucose levels and GDM severity. Fourth, it is inevitable that there would be bias in this study due to the self-reported information on behavioral characteristics and menstruation. Fifth, because vaginal swabs were not collected during the first trimester of pregnancy because of the non-reassuring of fetal status, Mollicutes infection transition surveillance could not start from the early stage of pregnancy. Sixth, since we studied only Chinese GDM patients in a single center which is larger than previous single-center studies, it is important to take caution when extrapolating the results to other ethnicities.

Conclusion

Based on this pregnancy cohort study, we found no statistically significant association between Molicutes infection and transition and adverse pregnancy outcomes in GDM patients. However, when assessing for the first time the relationship between ureaplasma load variation and adverse pregnancy outcomes, we found that among GDM women with infection in both trimesters, the risk of adverse pregnancy outcomes was significantly increased in GDM pregnant women with increased ureaplasma load from the second to the third trimester. This study highlights the need for quantitative screening for vaginal infections at different weeks of pregnancy in persistently infected GDM women and for careful personalized fertility treatment during perinatal period.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author Bei Wang (first corresponding author) or Junhui Zhang on reasonable request.

Abbreviations

BMI:

Body mass index

CI:

Confidence interval

GDM:

Gestational diabetes mellitus, Mh, Mycoplasma hominis

OR:

Odds ratio

PROM:

Premature rupture of membrane

UU:

Ureaplasma urealyticum

References

  1. Reece EA, Leguizamon G, Wiznitzer A. Gestational diabetes: the need for a common ground. Lancet. 2009;373(9677):1789–97.

    Article  PubMed  Google Scholar 

  2. Crowther CA, Samuel D, Hughes R, Tran T, Brown J, Alsweiler JM. Tighter or less tight glycaemic targets for women with gestational diabetes mellitus for reducing maternal and perinatal morbidity: a stepped-wedge, cluster-randomised trial. PLoS Med 2022, 19(9).

  3. Gao C, Sun X, Lu L, Liu F, Yuan J. Prevalence of gestational diabetes mellitus in mainland China: a systematic review and meta-analysis. J Diabetes Invest. 2019;10(1):154–62.

    Article  CAS  Google Scholar 

  4. Management of Diabetes in Pregnancy. Standards of Medical Care in Diabetes-2022. Diabetes Care. 2022;45:S232–43.

    Article  Google Scholar 

  5. Lorenzo PI, Martin-Montalvo A, Cobo Vuilleumier N, Gauthier BR. Molecular Modelling of Islet β-Cell adaptation to inflammation in pregnancy and gestational diabetes Mellitus. Int J Mol Sci 2019, 20(24).

  6. Robinson JW, Dando SJ, Nitsos I, Newnham J, Polglase GR, Kallapur SG, Pillow JJ, Kramer BW, Jobe AH, Payton D et al. Ureaplasma parvum Serovar 3 multiple banded Antigen size variation after chronic intra-amniotic Infection/Colonization. PLoS ONE 2013, 8(4).

  7. Sena AC, Lee JY, Schwebke J, Philip SS, Wiesenfeld HC, Rompalo AM, Cook RL, Hobbs MM. A silent epidemic: the prevalence, incidence and persistence of Mycoplasma genitalium among Young, Asymptomatic High-Risk women in the United States. Clin Infect Dis. 2018;67(1):73–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Taylor-Robinson D. Mollicutes in vaginal microbiology: Mycoplasma hominis, Ureaplasma urealyticum, Ureaplasma parvum and Mycoplasma genitalium. Res Microbiol. 2017;168(9–10):875–81.

    Article  PubMed  Google Scholar 

  9. Golden SH, Peart-Vigilance C, Kao WHL, Brancati FL. Perioperative glycemic control and the risk of infectious complications in a cohort of adults with diabetes. Diabetes Care. 1999;22(9):1408–14.

    Article  CAS  PubMed  Google Scholar 

  10. Moghissi ES, Hirsch IB. Hospital management of diabetes. Endocrinol Metab Clin North Am. 2005;34(1):99–.

    Article  PubMed  Google Scholar 

  11. Adachi K, Nielsen-Saines K, Klausner JD. Chlamydia trachomatis Infection in Pregnancy: The Global Challenge of Preventing Adverse Pregnancy and Infant Outcomes in Sub-Saharan Africa and Asia. Biomed Research International 2016, 2016.

  12. Marschalek J, Farr A, Kiss H, Hagmann M, Gobl CS, Trofaier M-L, Kueronya V, Petricevic L. Risk of vaginal infections at early Gestation in patients with Diabetic conditions during pregnancy: a retrospective cohort study. PLoS ONE 2016, 11(5).

  13. Tellapragada C, Vandana KE, Bhat PV, Rao C, Kamath A, Nayak S, Shashidhar V, Acharya S, Mukhopadhyay C. Lower genital tract infections during pregnancy and adverse pregnancy outcomes: a hospital based observational cohort study. BMC Infect Dis 2014, 14(S3).

  14. Hendriks E, MacNaughton H, MacKenzie MC. First trimester bleeding: evaluation and management. Am Family Phys. 2019;99(3):166–74.

    Google Scholar 

  15. Guideline for the prevention and treatment of type 2 diabetes mellitus in China. (2020 edition): Chinese Journal of Diabetes Mellitus 2021, 13(4):315–409.

  16. Zhang D, Liu C. Consensus on the diagnosis and treatment of mycoplasma infection in genital tract. Chin J Hum Sexuality. 2016;25(3):80–2.

    Google Scholar 

  17. Chen Y-T, Zhang T, Chen C, Xia Y-Y, Han T-L, Chen X-Y, He X-L, Xu G, Zou Z, Qi H-B et al. Associations of early pregnancy BMI with adverse pregnancy outcomes and infant neurocognitive development. Scientific Reports 2021, 11(1).

  18. Graham EM, Ruis KA, Hartman AL, Northington FJ, Fox HE. A systematic review of the role of intrapartum hypoxia-ischemia in the causation of neonatal encephalopathy. Am J Obstet Gynecol. 2008;199(6):587–95.

    Article  CAS  PubMed  Google Scholar 

  19. Retnakaran R, Qi Y, Sermer M, Connelly PW, Zinman B, Hanley AJG. Isolated hyperglycemia at 1 hour on oral glucose tolerance test in pregnancy resembles gestational diabetes mellitus in predicting postpartum metabolic dysfunction. Diabetes Care. 2008;31(7):1275–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Towers CV, Carr MH. Antenatal fetal surveillance in pregnancies complicated by fetal gastroschisis. Am J Obstet Gynecol. 2008;198(6):686.e681-685; discussion 686.e685.

    Article  Google Scholar 

  21. Getahun D, Ananth CV, Peltier MR, Smulian JC, Vintzileos AM. Acute and chronic respiratory diseases in pregnancy: associations with placental abruption. Am J Obstet Gynecol. 2006;195(4):1180–4.

    Article  PubMed  Google Scholar 

  22. Goel D, Luig M, Maheshwari R, D’Cruz D, Goyen TA. General Movement assessment and neurodevelopmental trajectory in extremely preterm infants with hypothyroxinaemia of prematurity (THOP). Early Hum Dev. 2020;144:104886.

    Article  PubMed  Google Scholar 

  23. Tsegaye B, Kassa A. Prevalence of adverse birth outcome and associated factors among women who delivered in Hawassa town governmental health institutions, south Ethiopia, in 2017. Reproductive Health 2018, 15.

  24. Fang Z, Bo X, Yuanyuan Z. Effects of reproductive tract infectrion on PI3K, AKT and FasL expression and premature rupture of membrane in pregnant women with GDM. Chin J Nosocomiology. 2023;33(15):2348–52.

    Google Scholar 

  25. Classification and Diagnosis of Diabetes. Standards of Medical Care in Diabetes-2022. Diabetes Care. 2022;45:S17–38.

    Article  Google Scholar 

  26. Chen Y-m, Zhu Q, Cai J, Zhao Z-j, Yao B-b, Zhou L-m, Ji L-d, Xu J. Upregulation of T Cell Receptor Signaling Pathway Components in Gestational Diabetes Mellitus patients: joint analysis of mRNA and circRNA expression profiles. Front Endocrinol 2022, 12.

  27. Sauteur PMM, Chalker VJ, Berger C, Nir-Paz R, Beeton ML. Mycoplasma pneumoniae beyond the COVID-19 pandemic: where is it? Lancet Microbe. 2022;3(12):E897–897.

    Article  PubMed Central  Google Scholar 

  28. Lukic A, Napoli A, Santino I, Bianchi P, Nobili F, Ciampittiello G, Nardone MR, Santomauro M, Di Properzio M, Caserta D. Cervicovaginal bacteria and fungi in pregnant diabetic and non-diabetic women: a multicenter observational cohort study. Eur Rev Med Pharmacol Sci. 2017;21(10):2303–15.

    CAS  PubMed  Google Scholar 

  29. Rafat D, Singh S, Nawab T, Khan F, Khan AU, Khalid S. Association of vaginal dysbiosis and gestational diabetes mellitus with adverse perinatal outcomes. Int J Gynecol Obstet. 2022;158(1):70–8.

    Article  Google Scholar 

  30. Giannella L, Grelloni C, Quintili D, Fiorelli A, Montironi R, Alia S, Delli Carpini G, Di Giuseppe J, Vignini A, Ciavattini A. Microbiome changes in pregnancy disorders. Antioxidants 2023, 12(2).

  31. Zhang X, Liao Q, Wang F, Li D. Association of gestational diabetes mellitus and abnormal vaginal flora with adverse pregnancy outcomes. Medicine 2018, 97(34).

  32. Xiao S, Zhang Q, Zhang M, Hu R, Liu R. Changes of vaginal microecology of pregnant women with gestational diabetes mellitus. Int J Gynecol Obstet. 2023;160(3):1043–5.

    Article  Google Scholar 

  33. Frenzer C, Egli-Gany D, Vallely LM, Vallely AJ, Low N. Adverse pregnancy and perinatal outcomes associated with Mycoplasma genitalium: systematic review and meta-analysis. Sex Transm Infect. 2022;98(3):222–7.

    Article  PubMed  Google Scholar 

  34. Cram LF, Zapata MI, Toy EC, Baker B. Genitourinary infections and their association with preterm labor. Am Family Phys. 2002;65(2):241–8.

    Google Scholar 

  35. Zhou Z-W, Long H-Z, Cheng Y, Luo H-Y, Wen D-D, Gao L-C. From microbiome to inflammation: the Key drivers of Cervical Cancer. Front Microbiol 2021, 12.

  36. Pavlidis I, Spiller OB, Demarco GS, MacPherson H, Howie SEM, Norman JE, Stock SJ. Cervical epithelial damage promotes Ureaplasma parvum ascending infection, intrauterine inflammation and preterm birth induction in mice. Nat Commun 2020, 11(1).

  37. Briery CM, Veillon EW, Klauser CK, Martin RW, Magann EF, Chauhan SP, Morrison JC. Women with preterm premature rupture of the membranes do not benefit from weekly progesterone. Am J Obstet Gynecol. 2011;204(1):e5451–55.

    Article  Google Scholar 

  38. French JI, McGregor JA. The pathobiology of premature rupture of membranes. Semin Perinatol. 1996;20(5):344–68.

    Article  CAS  PubMed  Google Scholar 

  39. Bierstone D, Wagenaar N, Gano DL, Guo T, Georgio G, Groenendaal F, de Vries LS, Varghese J, Glass HC, Chung C, et al. Association of Histologic Chorioamnionitis with Perinatal Brain Injury and Early Childhood Neurodevelopmental outcomes among Preterm neonates. Jama Pediatr. 2018;172(6):534–41.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Glaser K, Silwedel C, Fehrholz M, Waaga-Gasser AM, Henrich B, Claus H, Speer CP. Ureaplasma Species differentially modulate Pro- and anti-inflammatory cytokine responses in Newborn and Adult Human monocytes pushing the state toward Pro-inflammation. Front Cell Infect Microbiol 2017, 7.

  41. Shimizu T, Kida Y, Kuwano K. Ureaplasma parvum lipoproteins, including MB antigen, activate NF-κB through TLR1, TLR2 and TLR6. Microbiology-Sgm. 2008;154:1318–25.

    Article  CAS  Google Scholar 

  42. Triantafilou M, De Glanville B, Aboklaish AF, Spiller OB, Kotecha S, Triantafilou K. Synergic activation of toll-like receptor (TLR) 2/6 and 9 in response to Ureaplasma parvum & Urealyticum in Human amniotic epithelial cells. PLoS ONE 2013, 8(4).

  43. Mastrolia SA, Erez O, Loverro G, Di Naro E, Weintraub AY, Tirosh D, Baron J, Hershkovitz R. Ultrasonographic approach to diagnosis of fetal inflammatory response syndrome: a tool for at-risk fetuses? Am J Obstet Gynecol. 2016;215(1):9–20.

    Article  PubMed  Google Scholar 

  44. Woldaregay AZ, Launonen IK, Arsand E, Albers D, Holubova A, Hartvigsen G. Toward detecting infection incidence in people with type 1 diabetes using self-recorded data (part 1): a Novel Framework for a Personalized Digital Infectious Disease Detection System. J Med Internet Res 2020, 22(8).

  45. Weaver JR, Odanga JJ, Breathwaite EK, Treadwell ML, Murchinson AC, Walters G, Fuentes DP, Lee JB. An increase in inflammation and islet dysfunction is a feature of prediabetes. Diabetes-Metabolism Res Reviews 2021, 37(6).

  46. Riskin-Mashiah S, Younes G, Damti A, Auslender R. First-Trimester Fasting Hyperglycemia and adverse pregnancy outcomes. Diabetes Care. 2009;32(9):1639–43.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Cui M, Li X, Yang C, Wang L, Lu L, Zhao S, Guo Q, Liu P. Effect of carbohydrate-restricted dietary pattern on insulin treatment rate, lipid metabolism and nutritional status in pregnant women with gestational diabetes in Beijing, China. Nutrients 2022, 14(2).

Download references

Acknowledgements

We thank all the health workers and countless participants for their tremendous efforts and collaboration.

Funding

This research has received funding from the National Natural Science Foundation of China (Grant No. 81872634), People’s Republic of China.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to manuscript editing and read and approved the final manuscript. Yan Xuan, Tao Yan, Jun Zhao and Yue Zhang contributed to concept and design. Yan Xuan, Tao Yan, Xiang Hong, and Xu Zhou contributed to acquisition, analysis, or interpretation of data. Yan Xuan and Tao Yan contributed to drafting of the manuscript. Xiang Hong, Jun Zhao, Yue Zhang and Bei Wang contributed to critical review of the manuscript for important intellectual content. Yan Xuan, Tao Yan and Xu Zhou contributed to statistical analysis. Bei Wang contributed to obtained funding. Bei Wang, Jun Zhao and Junhui Zhang contributed to administrative, technical, or material support. Bei Wang and Jun Zhao contributed to supervision. Bei Wang contributed to the first corresponding author, Junhui Zhang is the second corresponding author.

Corresponding authors

Correspondence to Junhui Zhang or Bei Wang.

Ethics declarations

Ethics approval and consent to participate

The study was conducted in accordance with ethical procedures and approved by the Institutional Ethics Committees of the First Affiliated Hospital of Chongqing Medical University (Approval notice: 20204402), abided by the Declaration of Helsinki. All participants were given information about the study and written informed consent was obtained from all study participants for participation in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xuan, Y., Zhao, J., Hong, X. et al. Transition of the genital mollicutes from the second to the third trimester of pregnancy and its association with adverse pregnancy outcomes in GDM women: a prospective, single-center cohort study from China. BMC Pregnancy Childbirth 24, 233 (2024). https://doi.org/10.1186/s12884-024-06418-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-024-06418-x

Keywords