Background Gestational diabetes mellitus (GDM) is defined as varying degrees of glucose intolerance with an onset or first recognition during pregnancy in women without previously diagnosed diabetes. Accumulating evidence indicates that miRNAs exert crucial roles in the pathogenesis and development of diabetes, including GDM. In the present study, we aimed to determine the clinical performance of miR‐195‐5p in GDM. Methods First, the miR‐195‐5p expressions in serum samples from healthy pregnant women and women with GDM at 25 weeks pregnancy were detected using real‐time polymerase chain reaction (RT‐qPCR). Then, receive characteristic (ROC) curve was used to determine the diagnostic value of miR‐195‐5p in GDM. Finally, the correlation analysis of miR‐195‐5p expression with related clinicopathological factors was carried out to determine the clinical value of miR‐195‐5p in GDM. Results In this study, we found that miR‐195‐5p expression was significantly increased in serum samples from GDM patients as compared with that in healthy pregnancies. Furthermore, miR‐195‐5p might be a putative biomarker for GDM diagnosis with an area under the curve (AUC) of 0.8451; the cutoff value was 1.598, sensitivity was 73.69%, specificity was 96.85%, accuracy was 81.26%, and Youden index was 70.54%. Expression of miR‐195‐5p was positively associated with fasting plasma glucose, one‐hour plasma glucose, and two‐hour plasma glucose. Conclusion miR‐195‐5p might function as a putative diagnostic biomarker for GDM and contribute to identifying at‐risk mothers in pregnancy.

Gestational diabetes mellitus (GDM) is a common obstetric disease among pregnant women. This study aimed to explore the effect of dietary pattern management to reduce the incidence of GDM. Here, we, retrospectively, analyzed the influence of dietary patterns on the occurrence of GDM and the correlation between dietary patterns and intestinal microbiome distribution and inflammation in pregnant women. Moreover, patients were assigned to the dietary pattern management group and the nondietary pattern management group, and the effects of dietary patterns on the intestinal microbiome distribution and inflammatory factors were investigated. We found that the intestinal microbiome was changed in GDM patients compared with the healthy controls. The relative abundance of probiotics Lactobacillus and Bifidobacterium significantly decreased in patients with GDM. Moreover, compared with the control group, the expression levels of interleukin-6 and tumor necrosis factor-α were significantly increased. Furthermore, dietary pattern management led to intestinal microbiome changes in patients with GDM. In conclusion, dietary pattern management could alleviate GDM via affecting the intestinal microbiome as well as inflammatory conditions in patients.

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Background Both in vitro fertilization (IVF) and preeclampsia (PE) were associated with placental dysfunction. Although IVF can increase the incidence of PE, the pregnancy outcomes and risk factors for preeclampsia in dichorionic twin pregnancies conceived via IVF remain unclear. This study aimed to investigate the pregnancy outcomes and the risk factors for preeclampsia in dichorionic twin pregnancies conceived through IVF compared to those conceived after natural conception (NC). Methods This retrospective observational study enrolled 181 dichorionic twin pregnancy women with preeclampsia from 2016 to 2020. According to the mode of conception, they were allocated into IVF (n = 117) and NC groups (n = 64). The clinical characteristics of preeclampsia and pregnancy outcomes between the two groups were compared by using Student’s t test, chi-square test, and Fisher’s exact test, and logistic regression models were used to obtain adjusted odds ratios (aOR) with 95% confidence intervals (CI) for risk factors of early-onset preeclampsia. Results The incidence of early-onset PE and growth discordance in dichorionic twin pregnancies with PE is significantly higher in IVF-PE group than in NC group (78.60% vs 43.80%, P < 0.001, 11.10% vs 25.00%, P = 0.015). We found that IVF (aOR = 4.635, 95% CI: 2.130–10.084, P < 0.001) and growth discordance (aOR = 3.288; 95% CI: 1.090–9.749, P < 0.05) increased the incidence of early-onset PE. Conclusions In preeclamptic dichorionic twin pregnancies, IVF and growth discordance were associated with the increased incidence of early-onset PE. The underlying mechanism for the relationship between IVF and early-onset PE or growth discordance may be placental dysfunction.

Background Gestational diabetes mellitus (GDM) reflects a deficiency in the relative need for insulin during pregnancy, as well as temporary metabolic stress in the placenta and fetus. Our study aimed to research the potential diagnostic value of transforming growth factor-beta-induced protein ig-h3 (TGFBI) and transforming growth factor beta-2 proprotein (TGFB2) for GDM patients. Methods Online database Gene Expression Omnibus (GEO) was used to screen for different expressed genes (DEGs) associated with GDM. Meanwhile, KEGG and GO were used to analyze the molecular functions as well as pathways of enriched DEGs. One hundred ten pregnant women diagnosed with GDM and 110 healthy controls were enrolled, of whose placenta and fasting venous blood samples were collected. mRNA expression levels were determined by real-time quantitative polymerase chain reaction (RT-qPCR), and fasting blood glucose (FBG) was measured by the clinical lab of hospital. Furthermore, receiver operating characteristics curve (ROC) analysis was performed to evaluate the sensitivity and specificity of detection indexed in the placenta and plasma of GDM patients. Finally, Pearson and Spearman analysis was used for the correlation analysis. Results After GEO data analysis, TGFBI and TGFB2 were identified as the most significantly up-regulated genes of GDM. TGFBI and TGFB2 expressions in placenta and plasma samples of GDM patients were in line with bioinformatic analysis. Meanwhile, the area under the curve (AUC) of TGFBI in the placenta and plasma for the diagnosis of GDM were 0.8783 (95% CI, 0.8281 to 0.9284) and 0.7832 (95% CI, 0.7215 to 0.8449) while for TGFB2 were 0.9225 (95% CI, 0.8829 to 0.9621) and 0.8961 (95% CI, 0.8526 to 0.9396). Besides, levels of TGFBI along with TGFB2 in the placenta were positively correlated with that in the plasma of GDM patients. Furthermore, both TGFBI and TGFB2 expressions in the plasma were positively correlated with FBG levels of the GDM patients. Conclusions TGFBI and TGFB2 were up-regulated in the placenta and plasma of GDM patients, and TGFBI and TGFB2 in the plasma are potent to be diagnostic markers for the GDM. Keywords Biomarker • Different expressed genes (DEGs) • Gestational diabetes mellitus (GDM) • GEO database • Transforming growth factor beta-2 proprotein (TGFB2) • Transforming growth factor-beta-induced protein ig-h3 (TGFBI)