Background: Premature ovarian insufficiency (POI) is characterized by impairment of ovarian function on a continuum before the age of 40 years. POI is affected by multiple factors. Considering new insights from recent gut microbiome studies, this study aimed to investigate the relationship between gut microbial community structure and POI. Methods: Subjects were recruited at the Shenzhen Maternity & Child Healthcare Hospital. Fecal microbial community profiles of healthy women (n = 18), women with POI (n = 35) were analyzed using 16S rRNA gene sequencing based on Illumina NovaSeq platform. Results: Compared to the controls, the serum levels of FSH, LH, T and FSH/LH ratio significantly increased in women with POI, whereas E2 and AMH decreased significantly. Higher weighted UniFrac value was observed in POI women compared with healthy women. Phylum Firmicutes, genera Bulleidia and Faecalibacterium were more abundant in healthy women, while phylum Bacteroidetes, genera Butyricimonas, Dorea, Lachnobacterium and Sutterella enriched significantly in women with POI. Moreover, these alterations of the gut microbiome in women with POI were closely related to FSH, LH, E2, AMH level and FSH/LH ratio. Conclusions: Women with POI had altered microbial profiles in their gut microbiome, which were associated with serum hormones levels. These results will shed a new light on the pathogenesis and treatment for POI.

Objective: The aim of this study was to determine the prevalence of congenital heart defects and examine their association with preeclampsia (PE). Methods: A clinical-based, retrospective study was conducted in Shenzhen between 2004 and 2017. Data were collected from Shenzhen Maternal and Child Health Hospital Medical Record Database. This study included all infants who were born at the hospital with or without heart defects and their mothers (N = 177,434 newborns). Data processing and analysis were performed by SPSS23.0 (Chicago, IL, USA). Results: 6,852 women (3.9%) were diagnosed as PE and 1,289 newborns (7.30 per 1,000) have congenital heart disease (CHD). Prevalence of CHD in newborns of women with PE is 15.8 per 1,000 significantly higher than the overall prevalence (7.30 per 1,000). CHD in newborns has strong association with PE, especially early-onset PE (adjusted OR 3.29 and 95% CI 2.15–5.03) and severe PE (adjusted OR 2.75 and 95% CI 2.13–3.56). Among those with CHD, infants of preeclamptic women had higher prevalence of tetralogy of Fallot (43.78 vs. 28.14 per 100,000), atrial septal defect (335.67 vs. 53.93 per 100,000), ventricular dysplasia (102.16 vs. 89.69 per 100,000), and ventricular septal defect (525.39 vs. 212.22 per 100,000) than pregnant women with non-PE. Conclusion: PE, especially early-onset PE and severe PE, is strongly associated with offspring CHD. Our results help advance the current understanding of the association between PE and offspring CHD. So preventing PE and reducing PE may have a beneficial effect on the offspring CHD.

Background: Despite the clear clinical diagnostic criteria for necrozoospermia in andrology, the fundamental mechanisms underlying it remain elusive. This study aims to profile the lipid composition in seminal plasma systematically and to ascertain the potential of lipid biomarkers in the accurate diagnosis of necrozoospermia. It also evaluates the efficacy of a lipidomics-based random forest algorithm model in identifying necrozoospermia. Methods: Seminal plasma samples were collected from patients diagnosed with necrozoospermia (n = 28) and normozoospermia (n = 28). Liquid chromatography–mass spectrometry (LC–MS) was used to perform lipidomic analysis and identify the underlying biomarkers. A lipid functional enrichment analysis was conducted using the LION lipid ontology database. The top 100 differentially significant lipids were subjected to lipid biomarker examination through random forest machine learning model. Results: Lipidomic analysis identified 46 lipid classes comprising 1267 lipid metabolites in seminal plasma. The top five enriched lipid functions as follows: fatty acid (FA) with ≤ 18 carbons, FA with 16–18 carbons, monounsaturated FA, FA with 18 carbons, and FA with 16 carbons. The top 100 differentially significant lipids were subjected to machine learning analysis and identified 20 feature lipids. The random forest model identified lipids with an area under the curve > 0.8, including LPE(20:4) and TG(4:0_14:1_16:0). Conclusions: LPE(20:4) and TG(4:0_14:1_16:0), were identified as differential lipids for necrozoospermia. Seminal plasma lipidomic analysis could provide valuable biochemical information for the diagnosis of necrozoospermia, and its combination with conventional sperm analysis may improve the accuracy and reliability of the diagnosis.

Objective: It is evident that periodontitis is linked to various adverse pregnancy outcomes. This prospective study explored the potential link of maternal periodontal diseases to neonatal adverse outcomes. Materials and Methods: A total of 193 generally healthy females in their third trimester (34–36 weeks) of pregnancy were enrolled. All subjects received full-mouth periodontal assessment, and the periodontal inflamed surface area (PISA) was calculated. Demographic data, lifestyles and anthropometric measurements of the neonates (e.g., body length and head circumference) were recorded. Herein, small-for-gestational age (SGA) referred to gender- and age-adjusted birth weight below the 10th percentile in line with the standard reference. Multivariable logistic regression analysis and restricted cubic spline were performed for examining the association of periodontal parameters with SGA. Results: There were 8.3% (16/193) of neonates with SGA. Significantly positive correlation existed between the percentage of tooth sites with increased probing depth and an elevated risk of SGA (OR: 1.052; P < 0.05). Yet, the PISA was positively associated with the risk of SGA (OR: 1.002; P < 0.05) as well. No significant link occurred between maternal periodontal status and other neonatal outcome measures. Conclusion: Within the limitations of this study, the findings suggest that there could be a link between maternal periodontal diseases and neonatal adverse outcomes like SGA. Further investigation is required to clarify the current findings and potential implications for promoting maternal oral/periodontal health and newborn health.

Polycystic ovary syndrome (PCOS) and periodontitis significantly affect women’s oral and systemic health worldwide, and yet increase the risk of cardiovascular-metabolic diseases like diabetes and coronary heart disease. Regarding the PCOS-periodontitis connection, whether sex hormones, metabolic and inflammatory mediators could account for the underlying linking mechanism needs to be further investigated. This case–control study evaluated the hormonal, metabolic and inflammatory profiles in PCOS and non-PCOS subjects with various periodontal conditions, via assessing serum and saliva samples by Raman spectroscopy. A total of 66 females with PCOS and 22 systemically healthy female volunteers were recruited in a single hospital. Full-mouth periodontal examination was undertaken for identifying the subjects with periodontal health, gingivitis or periodontitis. The datasets of sex hormones and metabolic indicators were retrieved from the hospital information system. Both serum and saliva samples were collected for detecting inflammatory mediators and Raman spectroscopic assessment. The subjects were categorized into four groups according to their conditions of PCOS and periodontitis for Raman spectroscopic analysis. Partial least squares discriminant analysis was performed to examine the inter-group differences in Raman spectra. PCOS patients exhibited greater mean probing depth (P < 0.05) and higher serum levels of triglycerides (P < 0.05) and matrix metalloproteinase-8 (P < 0.05) than those in non-PCOS participants. Both probing depth and triglyceride level were positively correlated with PCOS (P < 0.05). There was a significant difference in mean Raman spectra of saliva samples among the four groups with different conditions of PCOS and periodontitis (P < 0.05), while no significant inter-group difference existed in serum samples. The present study shows that periodontal condition may affect the biomolecular profiles of Raman spectra in serum and saliva of PCOS patients. It underscores the importance of the collaborative teamwork of dentists and gynecologists for enhancing women’s oral health, general wellbeing and quality of life.

Aim: This study evaluated the connection of periodontal status with the leukocyte profiles of maternal peripheral blood (MPB) and umbilical cord blood (UCB).Materials and Methods: Ninety‐nine pregnant females were recruited, and their data were collected via questionnaire and from medical records, including demographics, systemic conditions, complete blood count (CBC) and C‐reaction protein (CRP) level in MPB. Full‐mouth periodontal assessment was performed. CBC and CRP levels in UCB were measured after parturition.Results: All subjects and their neonates were generally healthy. 30.3% of the participants presented with periodontal health condition, whereas 69.7% had different severities of periodontal diseases. The counts/percentages of eosinophils and monocytes in UCB from the subjects with periodontal diseases elevated, and the percentage of neutrophils decreased referencing to that from the counterparts (p < 0.05). There were positive correlations for total leukocyte count, neutrophils and lymphocytes counts/percentages in MPB and UCB among the periodontally healthy subjects (r > 0.4, p < 0.05), but such findings did not exist in those with periodontal diseases. Moreover, periodontal diseases independently accounted for the counts/percentages of neutrophils and eosinophils in UCB after controlling confounders in four testing models (ANCOVA, p < 0.05).Conclusion: Maternal periodontal diseases could to some extent disturb the leukocyte profiles of umbilical cord blood.