Background MicroRNAs (miRNA) are noncoding RNAs that play a central role in governing various physiological and pathological processes. There are few studies on miRNA involvement in gestational diabetes mellitus (GDM). In this study, we performed a meta-analysis of the miRNA expression profiling from GDM patients. Methods Guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols, we performed a systematic search of the PubMed, Cochrane Library, and EMBASE databases from inception to December 20, 2021, to retrieve the original research studies. All the relevant data were retrieved, analyzed, and summarized. Results Six studies (252 GDM cases and 309 controls) were included and analyzed. The six studies reported the expressions of 21 miRNAs in GDM cases. Of the 21 miRNAs, 12 miRNAs were found to be upregulated, and two were downregulated. The top three most consistently reported upregulated miRNAs were miR-16-5p (mean differences of fold change are 1.25, 95% CI = 0.04–2.46, P = 0.040), miR-19a-3p (mean differences of fold change are 2.90, 95% CI = 1.45–4.35, P = 0.001), and miR-19b-3p (mean differences of fold change are 3.10, 95% CI = 0.94–5.25, P = 0.005). miR-155-5p and miR-21-3p were found to be downregulated. Conclusions The results indicate that several miRNAs may be used as markers for diabetes gestational diabetes mellitus. In the future, more studies are needed to validate the findings of our study.

BackgroundPreeclampsia is a serious complication of pregnancy that threatens the safety of the fetus and mother. We assessed the relationship between systolic blood pressure (SBP) in the early pregnancy stage (12 weeks) in patients with preeclampsia and the development of severe eclampsia and birth weight.MethodsPatients were categorized based on the quartiles of the prenatal first SBP level. Logistic regression analysis was performed to assess whether prenatal first SBP was a risk factor for low birth weight and severe preeclampsia. The area under the receiver-operating characteristic curve (AUC) of sensitivity and specificity were used to predict the risk of low birth weight and severe preeclampsia.ResultsA total of 333 patients with preeclampsia were enrolled. There were 162 (48.6%) patients with severe preeclampsia and 270 (81.08%) cesareans. Group I patients with a prenatal first SBP ≤ 119 mmHg prenatal had a higher birth weight. Multiple logistic regression analysis showed that serum creatinine (p = 0.025), prenatal first SBP (p = 0.029), S-preeclampsia (p = 0.003), gestational age (p < 0.001), total cholesterol (TC) (p < 0.001), and low-density lipoprotein (LDL) (p < 0.001) were independent risk factors for low birth weight. Multiple logistic regression analysis showed that prenatal first SBP (p = 0.003), TC (p = 0.002), and B-type natriuretic peptide (BNP) (p < 0.001) were independent risk factors for severe preeclampsia. Compared with Group I (SBP ≤ 119 mmHg), the incidence of low birth weight for patients in groups III (131 ≤ SBP ≤ 138 mmHg) and IV (SBP ≥ 139 mmHg) was significantly higher. Even after correcting for age, gestational age, and biochemical indices, the difference remained statistically significant. The risk of diagnosed severe preeclampsia for patients in Groups IV (SBP ≥ 139 mmHg), III (131 ≤ SBP ≤ 138 mmHg), and II (120 ≤ SBP ≤ 130 mmHg) was significantly higher than that in Group I (SBP ≤ 119 mmHg). The AUC of the prenatal first SBP for predicting low birth weight and severe preeclampsia was 0.676 (95% CI 0.618–0.733, p < 0.001) and 0.727 (95% CI 0.673–0.781, p < 0.001), respectively, in patients with preeclampsia.ConclusionsPrenatal first SBP was associated with birth weight and severe preeclampsia. Higher prenatal first SBP in patients with preeclampsia can predict low birth weight and severe preeclampsia.

IntroductionConservative treatments with latency period have been used for the treatment of preterm premature rupture of membranes (PPROM) in clinical practice, we aimed to evaluate the role and potential influencing factors of latency period, to provide insights to the clinical treatment of PPROM.Material and methodsPPROM pregnant women treated in our hospital from January 1, 2015 to September 30, 2020 were included. PPROM patients were divided into 48～168h group and the >168h latency group, the characteristics and prognosis of this two groups were compared and analyzed. Logistic regression analyses were conducted to analyze the relevant influencing factors of latency period.ResultsA total of 131 PPROM patients were included. There were significant differences on the age, BMI, gestational age on admission, amniotic fluid volume before childbirth, and positive rate of cervical secretion culture between two groups (all p<0.05). Logistic regression analyses indicated that the latency period was shorter in the PPROM patients with age≥30y(OR0.048, 95%CI0.121~0.863) and gestational age≥32w on admission(OR0.463, 95%CI0.069~0.811), and the latency period was prolonged in the PPROM patients with BMI≥23kg/㎡(OR1.591, 95%CI1.134~1.944) and amniotic fluid volume≥6cm(OR2.129, 95%CI1.093~3.042) (all p<0.05). There were significant differences in the incidence of low birth weight and NRDS between 48~168h group and >168h group (all p<0.05).ConclusionsLatency period plays an important role in the PPROM, which is associated with the pregnant women's age, BMI, gestational week of rupture and amniotic fluid index.