Pregnancy · Preterm Birth
Abstract
The aim of this study was to determine any changes in adiponectin and omentin levels in GDM patients who delivered at term and preterm and to evaluate whether adipokines can be useful as a clinical biomarker to predict subsequent preterm delivery.
The levels of adiponectin and omentin were measured in four groups: (1) women with GDM who delivered at term (n=63); (2) women with GDM who had the symptoms of threatened preterm labor and delivered at term (n=23); (3) women with GDM and spontaneous preterm birth (before 37 completed weeks of gestation) (n=19); (4) women with physiological pregnancy (n=55).
In comparison with control group the median adiponectin concentrations were significantly lower in all GDM groups (10737 versus 8879; 7057; 6253 ng/ml, respectively; p<0.01). The median omentin concentrations were also significantly lower in all GDM groups in comparison with control group (469 versus 432; 357; 308 ng/ml, respectively; p<0.01). No significant differences in adiponectin and omentin levels between the GDM, preterm labor, and preterm birth groups were observed. However, there was a trend towards lower adiponectin and omentin levels in preterm birth group. The strong correlations between adiponectin and omentin levels were observed in all groups (R=0.801, p<0.001; R=0.824, p<0.001; R=0.705, p<0.001; R=0.764, respectively; p<0.001). In the univariable logistic regression model, significant correlation between omentin concentrations and preterm birth occurrence was found.
Our findings suggest that omentin-1, rather than adiponectin, could be useful as a predictor of preterm birth in patients with gestational diabetes mellitus.
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Gut Dysbiosis in Selected Gynecological Diseases Associated with Female Infertility: A Scoping Review
Nowakowski Ł et al., 2026 · Journal of clinical medicine · Free full text on PubMed Central
Background/Objectives: Female infertility represents a significant public health issue. Available evidence supports the hypothesis that the gut microbiota may play an essential role in women's reproductive health and may serve as a diagnostic or prognostic biomarker in specific gynecological disorders. A substantial part of current research concerns disturbed communication between the hypothalamic-pituitary-ovarian axis and the gut microbiota, providing the basis for analyzing this phenomenon as the gut-ovary axis or the gut-vagina-ovary axis. The primary aim of this scoping review was to map the available evidence on the relationship between gut microbiota composition and female infertility, with particular emphasis on polycystic ovary syndrome (PCOS, currently polyendocrine metabolic ovarian syndrome, PMOS) endometriosis, and uterine fibroids. The review was conducted in accordance with the PRISMA Extension for Scoping Reviews (PRISMA-ScR). PubMed, Scopus, and Google Scholar were searched using terms related to gut microbiota, female infertility, PCOS, endometriosis, and uterine leiomyomas. Peer-reviewed publications in English published between 2015 and 2025 were considered. The included studies were descriptively synthesized to identify recurring microbiota patterns and research gaps. The reviewed evidence indicates that gut dysbiosis may be associated with selected gynecological disorders affecting fertility, including PCOS, endometriosis, and uterine fibroids. The gut microbiome may have potential value as a biomarker supporting diagnosis, treatment selection, and prognosis. The gut microbiome represents a promising but still insufficiently validated area in the management of gynecological diseases associated with female infertility. Further high-quality clinical studies are needed to verify the effectiveness of microbiome-based therapies and to develop evidence-based guidelines for managing infertility associated with gut dysbiosis.
Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning
Olcha P et al., 2026 · Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy combined with machine learning for the detection of ovarian, bowel, and peritoneal endometriosis. The Boruta algorithm was applied to identify the most informative spectral intervals for each endometriosis type, revealing characteristic wave number ranges associated with molecular changes in endometriotic tissue. For ovarian endometriosis, key intervals included 741-748 cm-1, 984-993 cm-1, and 1125-1132 cm-1 bowel endometriosis, 1055-1063 cm-1, 1077-1079 cm-1, 1561-1572 cm-1, and 1717-1720 cm-1, and for peritoneal endometriosis, 917-919 cm-1, 1542-1547 cm-1, and 1573-1576 cm-1. Three machine learning algorithms, Deep Learning (DL), Support Vector Machine (SVM), and XGBoost, were tested using both the full spectral range and the Boruta-selected feature subsets. Across all endometriosis types, XGBoost consistently outperformed DL and SVM. Using the full spectrum, XGBoost achieved accuracies of 0.81, 0.77, and 0.78 for ovarian, bowel, and peritoneal endometriosis, respectively. Feature selection with Boruta significantly improved performance, increasing accuracies to 0.93, 0.88, and 0.90, respectively, and enhancing sensitivity, specificity, precision, F1 score, MCC, and ROC AUC across all datasets. DL models often exhibited high sensitivity but poor specificity, while SVM performance improved moderately with feature selection. Overall, these results demonstrate that targeted spectral feature selection enhances the diagnostic accuracy of machine learning models for endometriosis. XGBoost, in combination with Boruta-selected spectral intervals, provides the most reliable and balanced predictions, highlighting its potential for non-invasive detection and differentiation of ovarian, bowel, and peritoneal endometriotic lesions.
A multiple male and female pregnancy in a patient with stage IV endometriosis undergoing single embryo transfer after IVF-ICSI
Olcha P et al., 2025 · Ginekologia polska · Free to read
Effects of topical dehydroepiandrosterone therapy in women after pelvic organ prolapse surgery
Nowakowski Ł et al., 2023 · Menopause (New York, N.Y.)
Pelvic organ prolapse (POP) occurs predominantly in postmenopausal women. Restoration of the proper estrogenization of vaginal mucosa is important in preoperative and postoperative treatment, increasing the effectiveness of this approach. The objective of this study was the development of intravaginal vaginal suppositories containing DHEA and comparison of the clinical effects of vaginal topical therapy with DHEA, estradiol, or antibiotic after POP surgery. Nine types of vaginal suppositories containing 6.5 mg DHEA in different bases were prepared to find optimal formulation for the vaginal conditions. Ninety women referred for POP surgery were randomly assigned to one of three groups receiving topical treatment in the postoperative period (estradiol, DHEA, or antibiotic). On admission to hospital and during follow-up vaginal pH, vaginal maturation index and vaginal symptoms were assessed. Vaginal suppositories with the base made from polyethylene glycol 1,000 without surfactants characterized the highest percentage of the released DHEA. In women treated with topical estradiol or DHEA a significant decrease in the number of parabasal cells, increase in superficial and intermediate cells in the vaginal smears, decrease in vaginal pH, and reduction of vaginal symptoms were observed. The use of topical therapy with DHEA or the use of topical therapy with estradiol in the postoperative period were both shown to improve maturation index, vaginal pH, and vaginal symptoms. The benefits of topical therapy with DHEA after pelvic organ prolapse repair brings similar results as estradiol, without potential systemic exposure to increased concentrations of sex steroids above levels observed in postmenopausal women.
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Gücer F et al., 2001 · J Reprod Med
To evaluate maternal serum tumor necrosis factor-alpha (TNF alpha) levels in patients with preterm labor without clinical signs of chorioamnionitis and to compare these with levels in nonlaboring controls. The study group consisted of 44 patients with a singleton pregnancy admitted to our department with the diagnosis of preterm labor between 26 and 36 weeks' gestation. The control group consisted of 25 healthy consecutive patients with a singleton pregnancy without preterm contractions who were seen for routine antenatal visits. Maternal serum TNF alpha was measured using a solid-phase, two-site chemiluminescent enzyme immunometric assay method, and levels were compared in patients with preterm labor and nonlaboring controls. The median maternal serum TNF alpha level for patients with preterm labor was 29.4 pg/mL (range, 12.3-173) as compared with 23 pg/mL (range, 11.9-62.7) in the control group (P = .031). Among 44 patients with preterm labor, 14 (32%) delivered within one week of admission. The median maternal serum TNF alpha level was significantly higher in patients who delivered within one week than in those who delivered after one week and controls (71.3 pg/mL [range, 28-173]) versus 22 pg/mL (range, 12.3-86) versus 23 pg/mL (range, 11.9-62.7) (P < .0001). TNF alpha was elevated in patients with preterm labor, suggesting a role for maternal serum TNF alpha in its initiation.
Interleukin-6 and neopterin levels in serum of patients with preterm labour with and without infection
Oleszczuk J et al., 1997 · Eur J Obstet Gynecol Reprod Biol
We estimated the levels of interleukin 6 (IL-6) and neopterin, in serum of twelve nonpregnant (group A) and 28 pregnant women between 28-36 weeks of pregnancy. Group B consisted of eight patients with uncomplicated pregnancy, group C consisted of thirteen pregnant women with clinical signs of preterm labour and without laboratory markers of infection and group D consisted of seven pregnant women with signs of preterm labour and with laboratory markers of infection. The levels of IL-6 and neopterin were significantly higher in group D compared to groups A, B and C (p < 0.05). Similarly, the level of C-reactive protein (CRP) and total white blood cell count (the laboratory markers of infection) were significantly higher in group D than in groups A, B and C. Total white blood cell count was significantly lower in group A than in group B and D (p < 0.05). There were no significant differences in values of IL-6, neopterin and CRP between groups A, B and C (p > 0.05). In all groups, significant correlations were found between IL-6 and neopterin as well as total white blood cell count and CRP. Our results suggest that IL-6 and neopterin may be the markers of preterm labour caused by infection. On the other hand, cell-mediated immune response may be involved in the mechanisms of preterm labour.
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Watts DH et al., 1993 · Obstet Gynecol
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Murtha AP et al., 1998 · Obstet Gynecol
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