To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

Establishing a natural population prospective cohort represents a sophisticated systematic project that spans multiple disciplines and research directions, requiring comprehensive consideration of diverse factors. Both international and domestic practices have accumulated substantial experience and achievements in this field. These prospective cohorts are typically developed through collaborative efforts among research institutions, generating systematic insights into construction backgrounds, objectives, design frameworks, implementation strategies, and management protocols. This study conducts an in-depth investigation into the current status of natural population prospective cohort development globally and domestically, systematically summarizing progress in development history, current status, and research advancements. The findings aim to inform strategic planning in China’s related domains, thereby facilitating the advancement of natural population prospective cohort research.

Objective To compare the effect of internal iliac artery block using balloon of different properties in cesarean section for delivery female patients with pernicious placenta previa(PPP).Methods The clinical data of 82 delivery female patients with PPP were retrospectively analyzed.The patients were divided into observation group(n=40)and control group(n=42).The patients of the observation group received compliant Fogarty balloon block of bilateral internal iliac arteries,while the patients of the control group received non-compliant balloon block of bilateral internal iliac arteries.The preoperative and postoperative systolic blood pressure and heart rate,X-ray fluoroscopy time,fetal body surface radiation dose,time spent for cesarean section,intraoperative blood loss amount and blood transfusion quantity,uterine artery embolization rate,hysterectomy rate,1-,5-,and 10-minute neonatal Apgar scores,postoperative hospital stay,and surgery-related complications were compared between the two groups.Results In all patients of both groups,the uterus was successfully preserved and the bilateral internal iliac artery balloon obstruction-assisted cesarean section was successfully accomplished.After the balloon catheter was withdrawn,uterine artery embolization was carried out in some patients,and no patient received ovarian artery embolization and hysterectomy.No statistically significant differences in preoperative,postoperative systolic blood pressure and heart rate existed between the two groups,but in both groups the postoperative systolic blood pressure and heart rate were lower than their preoperative values(all P＜0.05).No statistically significant differences in X-ray fluoroscopy time,fetal body surface radiation dose,uterine artery embolization rate,hysterectomy rate,1-,5-,and 10-minute neonatal Apgar scores,and postoperative hospital stay existed between the two groups.In the observation group the time spent for cesarean section,intraoperative blood loss amount and blood transfusion quantity were lower than those in the control group(all P＜0.05).The difference in the incidence of balloon obstruction-related complications between the two groups was not statistically significant.Conclusion In cesarean section for delivery female patients with PPP,balloon block of bilateral internal iliac,regardless of using compliant Fogarty balloon catheter or non-compliant balloon catheter,is clinically safe and effective.However,the use of compliant Fogarty balloon catheter is superior to the use of non-compliant balloon catheter in reducing the cesarean section operative time,intraoperative blood loss amount,and intraoperative blood transfusion quantity.

Objective:To investigate the effects of wza gene deletion in Klebsiella pneumoniae on capsule formation ability and bacteriophage sensitivity. Methods:The wza deletion mutant strain was constructed through a temperature-sensitive plasmid-mediated homologous recombination. The growth curves of W14 and Δ wza were detected by measuring the optical density OD 600. In order to analyze the effect of gene wza on bacterial capsule formation, wild-type strain W14 and Δ wza mutant strain were detected by transmission electron microscope, and their capsule contents were measured by quantifying the uronic acid contents. The plaque assay was used to detect bacterial sensitivity to bacteriophage in wild-type strain W14 and Δ wza mutant strain. The t test was used to compare whether there were differences in the contents of uronic acid in the capsules of wild-type strain W14 and Δ wza mutant strain. Results:The PCR results revealed that the Δ wza mutant strain was successfully constructed. Compared with wild-type strain W14, the growth curves of Δ wza on the solid plates demonstrated a slightly slower growth. However, no difference in growth was observed among wild-type strain W14 and Δ wza mutant strains in LB broth. The transmission electron microscope results showed that wza gene deletion resulted in the loss of capsule in bacteria. The uronic acid content assay suggested that the capsule content was significantly decreased in Δ wza mutant strain (45.963±2.795) μg/ml compared with wild-type strain W14 (138.800±5.201) μg/ml. There was a statistical difference between the two groups ( t=27.233, P<0.001). The plaque assay indicated that bacteria lost its sensitivity to bacteriophage when gene wza was deleted. Conclusion:Deletion of the wza gene impairs bacterial capsule formation ability and can affect bacterial sensitivity to bacteriophage phiW14.

Objective:To express and purify the phage depolymerase from hypervirulent Klebsiella pneumoniae (hv Kp) serotype K1 and validate its function. Methods:Phage that infected serotype K1-type hv Kp was isolated from hospital sewage. The biology and morphology of the phage were determined by plaque assay and transmission electron microscopy. The whole genome of the phage was sequenced by the Illumina HiSeq 2500 platform. The presence of depolymerase was determined by observing the plaque halo. Bioinformatic analysis and prokaryotic protein expression system were further used to predict and identify phage depolymerase. The depolymerase gene fragment was obtained by PCR and cloned into the pET28a expression vector, and the expression and purification of the depolymerase were completed in strain BL21. The depolymerase activities on the capsular polysaccharide of serotype K1-type hv Kp clinical isolates were detected by plaque assay and low-speed centrifugation assay. Results:A lytic phage (phiA2) that infected serotype K1-type hv Kp clinical isolate was isolated from hospital sewage. It was typical of the Caudovirales order and Autographiviridae family, and its whole genome was 43 526 bp in length and contained 51 coding domain sequences. The phage phiA2-derived depolymerase phiA2-dep was predicted, expressed and purified. The plaque assay and low-speed centrifugation assay indicated that the depolymerase phiA2-dep had good lytic activity on the capsular polysaccharide of serotype K1-type hv Kp clinical isolates. Conclusion:Depolymerase phiA2-dep can specifically degrade the capsular polysaccharide of serotype K1-type hv Kp, which has potential application value in treating bacterial infection.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

This study was designed to explore the effect of DNA methyltransferase 1(DNMT1)on podocyte apoptosis and inflammatory cytokine release induced by high glucose(HG),and analyze the related molecular mechanisms.Podocyte MPC-5 cells were cultured in vitro and divided into control and HG groups.DNMT1 and SOCS1 were either silenced or overexpressed using small RNA interference technology and liposome transfection technology.The expression levels of DNMT1 and SOCS1 genes were measured using qRT-PCR.Apoptosis was assessed by flow cytometry,while ELISA was employed to determine the levels of inflammatory factors such as tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),interleukin-1β(IL-1β),and monocyte chemoattractant protein-1(MCP-1).Western blot was used to detect the expression of DNMT1,SOCS1 proteins,and the proteins involved in the Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Data showed that HG elevated MPC-5 cell apoptosis rate,the level of inflammatory factors and DNMT1 mRNA expression,and the expression of DNMT1,p-JAK2 and p-STAT3 proteins,while reduced SOCS1 mRNA and protein expression(P＜0.05).Both silencing DNMT1 and overexpressing SOCS1 resulted in reduce of MPC-5 cell apoptosis rate,inflammatory factors level,p-JAK2 and p-STAT3 proteins expression(P＜0.05).Additionally,silencing DNMT1 increased SOCS1 mRNA and protein expressions(P＜0.05).Conversely,silencing SOCS1 counteracted the effects of DNMT1 silencing on MPC-5 cell apoptosis,inflammation,p-JAK2 and p-STAT3 proteins expression.Therefore,silencing DNMT1 expression can reduce the apoptosis and inflammation of podocytes induced by HG,and its mechanism may be related to the inhibition of JAK2/STAT3 signaling pathway activation by upregulating SOCS1 expression.