Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

In recent years, China has been facing the dual challenges of declining fertility rates and births, with male reproductive health issues, especially the decline in semen quality, identified as a pivotal contributor to this phenomenon. Meanwhile, accumulating evidence indicates that air pollutants, an increasingly severe environmental problem, can damage semen quality not only directly through their biological toxicity but also indirectly by disrupting the composition of microbial communities in the gut and semen, thereby dysregulating immune function, endocrine homeostasis, and oxidative stress responses. The gut microbiota and semen microbiota, as important components of the human microecosystem, play crucial roles in maintaining reproductive health. This article comprehensively reviewed the research progress on the potential effects of air pollutants (particulate matter and gaseous pollutants), gut microbiota, and semen microbiota on semen quality. Specifically, it elucidated the mechanisms of interaction between these factors and explored how they affect male fertility.

Objective To investigate the association between intraoperative hypotension and post-operative acute kidney injury(AKI)in patients undergoing brain tumor resections.Methods A total of 428 patients undergoing elective craniotomy for tumor resection were selected,276 males and 152 females,aged≥18 years,BMI 15-36 kg/m2,ASA physical statusⅡ orⅢ.Based on postoperative occurrence of AKI,the patients were divided into two groups:the AKI group and the control group.This study defined three thresholds for hypotension,including MAP during surgery below 65 mmHg,60 mmHg,and 55 mmHg.Multivariate logistic regression was used to analyze the correlation between intraoperative hypotension and postoperative AKI under three thresholds.Results A total of 107 patients had postoperative AKI.The re-sults of multivariable regression analysis indicated that intraoperative MAP＜65 mmHg(OR = 1.11,95%CI 1.03-1.20,P = 0.010)and intraoperative MAP＜60 mmHg(OR = 1.12,95%CI 1.02-1.23,P = 0.017)were associated with postoperative AKI.Conclusion Intraoperative MAP＜65 mmHg or 60 mmHg is associated with postoperative AKI in patients undergoing brain tumor resection.

Objective To investigate the expression of discoidin CUB and LCCL domain containing 2(DCBLD2)and mitogen activated protein kinase kinase kinase kinase 3(MAP4K3)in thyroid cancer and their relationship with clinico-pathological features and prognosis.Methods A total of 92 patients with thyroid cancer diagnosed and treated in Xinghua People's Hospital Affiliated to Yangzhou University from January 2016 to June 2020 were selected.Immunohistochemistry(IHC)was used to detect the expression of DCBLD2 and MAP4K3 in thyroid cancer tissues and adjacent tissues.The expression differences of DCBLD2 and MAP4K3 in thyroid cancer patients with different clinicopathological features were compared.Kaplan-Meier curve analysis was used to analyze differences in the progression-free survival prognosis of patients with different DCBLD2 and MAP4K3 expressions.Multivariate COX analysis was used to analyze the risk factors affecting the progression-free survival prognosis of thyroid cancer.Results The positive rates of DCBLD2(67.39%)and MAP4K3(65.22%)in thyroid cancer tissues were higher than those in adjacent tissues(5.43%,6.52%),and the differences were statistically significant(χ2=76.262,68.894,all P<0.05).The expression of DCBLD2 was positively correlated with MAP4K3(r=0.742,P<0.001).The positive rates of DCBLD2 and MAP4K3 in stage Ⅲ～Ⅳ(87.18%,84.62%)and lymph node metastatic cancer tissues(93.75%,90.63%)were higher than those in stage Ⅰ～Ⅱ(52.83%,50.94%)and non lymph node metastatic cancer tissues(53.33%,51.67%),with statistically significant differences(χ2=11.230～15.513,all P<0.05).The 3-year progression-free survival rates of DCBLD2-positive and DCBLD2-negative patients were 74.19%(46/62)and 93.33%(28/30),respectively.The 3-year progression-free survival rates of MAP4K3 positive and negative patients were 75.00%(45/60)and 90.63%(29/32),respectively.The 3-year cumulative progression-free survival rate of DCBLD2 positive group and MAP4K3 positive group was lower than that of DCBLD2 negative group and MAP4K3 negative group,and the differences were statistically significant(χ2=4.533,4.138,P=0.033,0.046).DCBLD2 positive(OR=1.659,P=0.001),MAP4K3 positive(OR=1.606,P=0.001),tumor TNM stage Ⅲ～Ⅳ(OR=1.766,P=0.001)and combined lymph node metastasis(OR=1.868,P=0.001)were independent risk factors for the progression-free survival prognosis of thyroid cancer patients.Conclusion The expressions of DCBLD2 and MAP4K3 were increased in thyroid cancer tissue.They are involved in the occurrence and development of thyroid cancer,which may help evaluate the progression-free survival prognosis of thyroid cancer patients.

Objective To compare and analyze the application value of domestic Octoparms and imported Celect inferior vena cava filter(IVCF)in the interventional treatment of venous thromboembolism(VTE).Methods Forty patients with VTE were randomly divided into Octoparms group(experimental group)and Celect group(control group)according to the double-blinded method of the central random system.All the patients underwent filter placement,catheter-directed thrombolysis and filter retrieval.The primary end point was the success of filter placement and retrieval,and the secondary end point included indwelling complications such as the occurrence of pulmonary embolism(PE)and filter tilt and migration.Results Forty patients were enrolled in this study,22 patients and 18 patients were divided into the experimental group and the control group,respectively.Among them,11 cases were identified with right lower extremity deep vein thrombosis,29 cases with left lower extremity deep vein thrombosis,17 cases with PE,and 6 cases with inferior vena cava thrombosis.The success rate of IVCF placement was 100%in all participants.Immediately after filter place-ment,the angle of filter tilt was(3.8±2.3)° in the experimental group and(4.9±2.8)° in the control group(t=1.44,P=0.16).Filter retrieval was successful in 21 cases(21/22,95.5%)of the experimental group and 17 cases(17/18,95.5%)of the control group.There was no significant difference between the two groups(t=0.14,P=0.89).The mean indwelling time of filter was(8.0±2.1)days in the experimental group and(9.7±3.1)days in the control group(t=0.73,P=0.47).The angle of filter tilt was(5.3±3.4)° in the experimental group and(5.7±7.7)° in the control group(t=0.19,P=0.85).There was no significant difference for filter placement and retrieval between the two groups(t=0.48 and 2.00,P=0.06 and 0.64,respectively).There were no complications of filter migration,strut penetration or new PE in both groups.Conclusion The application value of domestic Octoparms and impor-ted Celect IVCF is similar in interventional treatment of VTE.

Objective:To summarize the incidence of cerebral venous reflux (CVR) in patients with recent small subcortical infarct (RSSI) and explore its correlation with enlarged perivascular spaces (EPVS).Methods:Patients with RSSI in the lenticulostriate artery admitted to the Department of Neurology of the First Affiliated Hospital of Zhengzhou University from January 2019 to December 2022 were included. The baseline demographic data, medical history, and laboratory results of the patients were collected. CVR was assessed by time-of-flight magnetic resonance angiography. Patients were stratified into 2 groups based on the presence (CVR group) or absence of CVR (non-CVR group), and baseline characteristics as well as laboratory test results were compared between the 2 groups. The location and number of EPVS were evaluated using a visual grading scale, with EPVS with higher scores defined as high-grade EPVS (HEPVS). Simultaneous evaluation of cerebral white matter hyperintensities and lacunar infarctions was conducted, followed by intergroup comparisons. The relationship between EPVS and CVR was studied using multiple Logistic regression analysis.Results:A total of 571 patients with RSSI in the lentiform artery area were ultimately included, including 180 females (31.5%). Their age was (59.37±12.87) years. Among them, 73 patients (12.8%) exhibited CVR based on imaging findings, so the incidence of CVR was 12.8%. In comparison between the CVR group ( n=73) and the non-CVR group ( n=498), the proportion of females [21.9% (16/73) vs 32.9% (164/498), χ 2=3.578, P=0.059] was lower and the proportion of history of smoking [38.4% (28/73) vs 27.7% (138/498), χ 2=3.499, P=0.061] was higher in the CVR group, but without statistical significance. Additionally, the history of alcohol consumption [34.2% (25/73) vs 21.7% (108/498), χ 2=5.621, P=0.018] and the proportion of patients with concomitant HEPVS in the basal ganglia area [41.1% (30/73) vs 25.3% (126/498), χ 2=7.999, P=0.005] was higher in the CVR group with statistical significance. Multiple Logistic regression analysis showed that HEPVS in the basal ganglia region remained independently associated with CVR ( OR=1.988, 95% CI 1.190-3.320, P=0.009). Conclusion:EPVS in the basal ganglia region is significantly associated with CVR in the RSSI population, suggesting that venous dysfunction may be closely related to the formation of EPVS.

Objective To investigate whether resveratrol alleviates hyperglycemia-induced cardiomyocyte hypertrophy by enhancing the expression of silent information regulation 2 homolog 1(SIRT1)to maintain mitochondrial homeostasis.Methods Rat cardiomyocytes H9c2 cells with or without lentivirus-mediated mRNA interference of SIRT1 were cultured in high glucose(HG)and treated with resveratrol for 72 h.The changes in superoxide dismutase(SOD)activity,malondialdehyde(MDA)content,reactive oxygen species(ROS)level,and relative surface of the cells were examined,and the mRNA expressions of atrial natriuretic factor(ANF)and brain natriuretic peptide(BNP)and protein expressions of SIRT1,mitochondrial fusion related proteins optic atrophy protein 1(OPA1)and mitofusin 2,mitochondrial division related proteins dynamin-related protein 1(DRP1)and fission protein 1(FIS1),and mitophagy-related proteins BNIP3L and LC3 were detected using RT-qPCR and Western blotting.Results HG exposure significantly decreased SOD activity,increased MDA content,ROS production,relative cell surface,and the mRNA expressions of ANF and BNP in the cardiomyocytes;the protein expressions of SIRT1,OPA1,mitofusin 2 and BNIP3L and LC3-Ⅱ/LC3-Ⅰ ratio were all decreased and the protein expressions of DRP1 and FIS1 increased in HG-exposed cells(P<0.01).All these changes in HG-exposed cardiomyocytes were significantly alleviated by treatment with resveratrol(P<0.05).The protective effects of resveratrol against HG exposure in the cardiomyocytes were obviously attenuated by transfection of the cells with si-SIRT1(P<0.05).Conclusion Resveratrol inhibits hyperglycemia-induced cardiomyocyte hypertrophy by reducing oxidative stress,the mechanisms of which involve enhancement of SIRT1 protein expression,regulation of mitochondrial fusion and division balance,and promoting BNIP3L-mediated mitophagy to maintain mitochondrial homeostasis in the cells.