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.

Objective To establish an acute rejection model of cervical heart transplantation in mice and evaluate the survival and dynamic rejection process post-transplantation. Methods Mice were randomly divided into sham operation group (n=10), syngeneic transplantation group (n=21), and allogeneic transplantation group (n=65). Sham operation, syngeneic cervical heart transplantation, and allogeneic cervical heart transplantation were performed respectively. The survival of recipient mice and grafts, histopathological changes of graft tissues, subpopulations of splenic lymphocytes, and expression of inflammatory factors in serum and grafts were observed. Results The survival rate and graft survival rate of the sham operation group and syngeneic transplantation group were 100% at 7 days after surgery. In the allogeneic transplantation group, 5 cases failed and died on the first day after surgery. The survival rate at 7 days after surgery was 86%, and all surviving mice had grafts that stopped beating at 7 days after surgery. The allogeneic transplantation group showed significant rejection at 7 days after surgery, accompanied by tissue damage and CD8⁺ T cell infiltration. The proportion of CD8⁺ T cells in the spleen continued to rise post-operation, while the proportion of CD4⁺ T cells showed a downward trend. The expression of interferon-γ in serum and grafts peaked at 5 days after surgery, while the expression of tumor necrosis factor-α showed no statistical significance. Conclusions Acute rejection following heart transplantation in mice intensifies between 5 to 7 days after surgery, which may be a critical time window for immunological intervention.

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.

Objective:To summarize the clinical and pathological characteristics, treatment methods, and prognosis of papillary renal neoplasm with reverse polarity (PRNRP).Methods:The clinical and pathological data of six pathologically confirmed PRNRP patients admitted to Renji Hospital affiliated with Shanghai Jiaotong University School of Medicine from August 2022 to August 2023 were retrospectively analyzed. Among them, three were male and three were female, with an average age of (55.3±10.5) years old. All six cases were incidentally discovered during health examinations. Preoperative contrast-enhanced CT scans showed tumors with cortical phase manifestations of uneven enhancement, avascularity, and indistinct borders, with CT values of (85.6±18.7) HU. In the corticomedullary phase, the CT values showed mild elevation, with an average of (94.3±4.7) HU. In the delayed phase, the tumor boundaries were clear, and the enhancement degree was significantly lower than that of the surrounding renal cortex and medulla, with a tumor CT value of (86.3±11.9) HU. The pseudocapsule of the tumor was not clearly displayed on contrast-enhanced CT scans. All cases underwent partial nephrectomy, including two cases of robot-assisted laparoscopic partial nephrectomy and four cases of laparoscopic partial nephrectomy.Results:Postoperative pathological measurements revealed a maximum tumor diameter ranging from 6 to 15 mm, with an average diameter of (11.0±3.5) mm. All six cases were classified as pT 1aN 0M 0 stage. Microscopically, the tumors exhibited branching papillary structures with eosinophilic cytoplasm, and the tumor cells displayed low-grade nuclei located at the top of the cytoplasm and away from the basal membrane. Immunohistochemical analysis showed diffuse strong positivity for GATA3 and CK7, while CA-Ⅸ expression was negative. The median follow-up time after surgery was 10(9, 13) months, and no tumor recurrence or metastasis was observed. Conclusions:PRNRP is a rare, low-grade malignant papillary renal tumor. Contrast-enhanced CT scan has characteristic features of avascularity. Pathological morphological features are low-grade nuclei located at the top of the cytoplasm and far away from the basal membrane, forming a "reverse polarity". The immunophenotype shows positive expression of GATA3 and CK7. Partial nephrectomy is the recommended treatment approach, and the postoperative prognosis is favorable.

Objective:To summarize the clinical researches of Wumei Pill and provide reference for clinical application and follow-up research.Methods:The databases CNKI, VIP, Wanfang, CBM, PubMed, Embase were retrieved from the inception to June 30,2022. CiteSpace 6.1.R3 software was used to analyze the research hotspots and keywords in the literature. Using EndNote X9 software and Microsoft Office Excel 2013, we recorded and analyzed the published year, literature type, affiliated journal, disease treated, TCM syndrome type, single drug dose and treatment duration of the included articles.Results:212 articles were included. Diarrhea, gastritis, diabetes, insomnia were the research hotspots. The types of diseases treated by Wumei Pill mainly include digestive system, endocrine system and tumor, mainly for cold-heat syndrome and Jueyin syndrome. The average dosage of Mume Fructus was the largest, 21 g. The average treatment time was 5.78 weeks. Conclusion:At present, the overall clinical research of Wumei pill shows an increasing tendency, mainly involving gastrointestinal disease.

Objective:To preliminarily develop a fertility motivation scale for infertile women (FMS-IW) and test its reliability and validity.Methods:The FMS-IW was developed according to the theory of self-determination and Maslow's hierarchy of needs, and the original item pool was established through clinical psychological counseling practice experience, literature review, consulting clinical psychotherapists, interviewing with infertile women and open-ended questionnaires. The original scale was constructed on item analysis and exploratory factor analysis in 257 infertile women. The formal version of FMS-IW was further adapted by Delphi method and tested in another 392 women to conduct confirmatory factor analysis and reliability test. Furthermore, 56 participants of 392 women were randomly retested with FMS-IW after two weeks.SPSS 25.0 and Amos 24.0 software were used for Spearman analysis, exploratory factor analysis and confirmatory factor analysis.Results:Exploratory factor analysis showed that the FMS-IW was composed of 16 items consisting of two factors: autonomous fertility motivation and controlled fertility motivation. The cumulative variance contribution rate was 64.18%. Confirmatory factor analysis showed that the model fitted well ( χ2/ df=3.292, RMSEA=0.077, SRMR=0.055, GFI=0.902, AGFI=0.871, IFI=0.938, CFI=0.938, TLI=0.928). The Cronbach's α coefficient of the FMS-IW was 0.908. The Cronbach's α coefficient for autonomous and controlled fertility motivation was 0.911 and 0.928, respectively. The parity split-half coefficient of the formal version of FMS-IW was 0.870. The test-retest reliability of the formal version of FMS-IW was 0.823. Conclusion:The FMS-IW has good reliability and validity, and can be used as an effective tool to measure fertility motivation in infertile women.

The acute combination fractures of the atlas and axis in adults have a higher rate of neurological injury and early death compared with atlas or axial fractures alone. Currently, the diagnosis and treatment choices of acute combination fractures of the atlas and axis in adults are controversial because of the lack of standards for implementation. Non-operative treatments have a high incidence of bone nonunion and complications, while surgeries may easily lead to the injury of the vertebral artery, spinal cord and nerve root. At present, there are no evidence-based Chinese guidelines for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults. To provide orthopedic surgeons with the most up-to-date and effective information in treating acute combination fractures of the atlas and axis in adults, the Spinal Trauma Group of Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field of spinal trauma to develop the Evidence-based guideline for clinical diagnosis and treatment of acute combination fractures of the atlas and axis in adults ( version 2023) by referring to the "Management of acute combination fractures of the atlas and axis in adults" published by American Association of Neurological Surgeons (AANS)/Congress of Neurological Surgeons (CNS) in 2013 and the relevant Chinese and English literatures. Ten recommendations were made concerning the radiological diagnosis, stability judgment, treatment rules, treatment options and complications based on medical evidence, aiming to provide a reference for the diagnosis and treatment of acute combination fractures of the atlas and axis in adults.

To develop the dressings that can both inhibit bacterial infection and actively promote healing is of great importance for wound repair and the development of medical technology. Electrical stimulation has multiple roles in wound healing, including hemostasis, antibacterial, anti-inflammatory, guidance of cell migration, promotion of re-epithelialization, and proliferation of cells. Metal micro-battery can provide a stable source of electrical stimulation energy without an external power source. Thus, the integration of metal micro-battery with medical dressings opens up new opportunities for the wireless application of electrical stimulation in wound repair. In this review, the mechanism of the effect of electrical stimulation on wound healing is systematically presented, then recent advances in metal micro-battery dressings, including preparation methods, antibacterial performance, and healing properties are mainly introduced, and the current challenges and prospects of metal micro-battery dressings are also provided.