Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Purpose: Biomarkers predicting clinically significant prostate cancer (sPC) before biopsy are currently lacking. This study aimed to develop a non-invasive urine test to predict sPC in at-risk men using urinary metabolomic profiles. Materials and Methods: Urine samples from 934 at-risk subjects and 268 treatment-naïve PC patients were subjected to liquid chromatography/mass spectrophotometry (LC-MS)-based metabolomics profiling using both C18 and hydrophilic interaction liquid chromatography (HILIC) column analyses. Four models were constructed (training cohort [n=647]) and validated (validation cohort [n=344]) for different purposes. Model I differentiates PC from benign cases. Models II, III, and a Gleason score model (model GS) predict sPC that is defined as National Comprehensive Cancer Network (NCCN)-categorized favorable-intermediate risk group or higher (Model II), unfavorable-intermediate risk group or higher (Model III), and GS ≥7 PC (model GS), respectively. The metabolomic panels and predicting models were constructed using logistic regression and Akaike information criterion. Results: The best metabolomic panels from the HILIC column include 25, 27, 28 and 26 metabolites in Models I, II, III, and GS, respectively, with area under the curve (AUC) values ranging between 0.82 and 0.91 in the training cohort and between 0.77 and 0.86 in the validation cohort. The combination of the metabolomic panels and five baseline clinical factors that include serum prostate-specific antigen, age, family history of PC, previously negative biopsy, and abnormal digital rectal examination results significantly increased AUCs (range 0.88–0.91). At 90% sensitivity (validation cohort), 33%, 34%, 41%, and 36% of unnecessary biopsies were avoided in Models I, II, III, and GS, respectively. The above results were successfully validated using LC-MS with the C18 column. Conclusions Urinary metabolomic profiles with baseline clinical factors may accurately predict sPC in men with elevated risk before biopsy.

Objective: To investigate the interactive effects of prenatal and postnatal factors on overweight and obesity in preschool children, so as to provide evidence for subsequent planning of prevention strategies and intervention measures. Methods: Between October 2020 and June 2021, a convenience cluster sample of 918 preschool children from four kindergartens in Xuzhou urban area underwent questionnaire surveys and physical examinations. The Chi square test was used to compare intergroup differences in overweight and obesity prevalence. Multivariate Logistic regression analysis was employed to investigate the effects of prenatal and postnatal factors, as well as their interactions, on overweight and obesity in preschool children. Results: The prevalence of overweight and obesity among preschool children was 30.8%, with boys exhibiting a higher rate (37.0%) than girls (24.8%). Statistically significant differences in overweight and obesity prevalence were observed across age groups, genders, paternal pre pregnancy body mass index (BMI), paternal educational level, delivery mode, antibiotic use within the six months after birth, and rapid weight gain during infancy ( χ 2=5.08-17.67, all P <0.05). After adjusting for confounding factors such as age, gender, the only child, parental educational level and parental average monthly income, interaction analysis revealed that when the father was overweight or obese before conception, children delivered by caesarean section had an increased risk of overweight or obesity ( OR= 2.05 , 95%CI =1.02-3.39), and children with rapid weight gain during infancy also had an increased risk ( OR=2.05, 95%CI = 1.08 -3.88) (both P <0.05). Gender stratified analysis revealed that the interaction between paternal pre pregnancy BMI and mode of delivery on overweight and obesity was more pronounced among girls ( OR=4.00, 95%CI=1.51-10.58, P <0.05). While the interaction between the father s pre pregnancy BMI and rapid weight gain during infancy was more pronounced in boys ( OR= 2.85 , 95%CI=1.14-7.08, P <0.05). No significant interactions between prenatal and postnatal factors on overweight and obesity in preschool children were observed (all P >0.05). Conclusions Multiple prenatal and postnatal factors influence overweight and obesity in preschool children. Attention should be paid to mode of delivery and infant weight gain, particularly when the father is overweight or obese, to reduce the risk of overweight and obesity in preschool children.

Abstract Alzheimer′s disease(AD) is a common neurodegenerative disease. It has been found that AD is related to various pathogenic factors such as genetics, cardiovascular and cerebrovascular disease, and excessive phosphorylation of tau protein. However, no definitive conclusions on its pathogenesis have been reached. In this paper, the research progress on the pathogenesis of AD inC.elegansmodel and the therapeutic effects of traditional Chinese medicine extracts on AD are reviewed, providing a basis for further research on the alleviating effects of Chinese medicine extracts on AD.

Objective To explore the effectiveness of an integrated laparoscopic simulation training course (best essential surgical technique training, BEST) in enhancing laparoscopic peritoneal suturing techniques in surgical residents.Methods As an integrated two-stage program, the BEST course applied basic laparoscopic training system with simple molds in phase Ⅰ training, and then adopted advanced laparoscopic training system, 3D Laparoscope and ex-vivo animal models in phase Ⅱ training. The laparoscopic suturing techniques were practiced in phase Ⅱ training. From August 2021 to July 2024, surgical residents in the second year of the national standardized training program were divided into pilot and control groups based on whether they had undergone the BEST course. Two cases of laparoscopic peritoneal suture were performed by the surgical residents under supervision in the department of gastrointestinal surgery. The operative time, quality of suture, and independent completion rate were compared between the two groups.Results A total of 33 surgical residents (19 in pilot group and 14 in control group) were included in this study, and a total of 66 cases of laparoscopic peritoneal suture were performed (38 in pilot group and 28 in control group). The operative time was significantly shorter in pilot group than that in control group (15.7 min vs. 17.5 min, P=0.025). The quality of suture was significantly better in pilot group compared to control group (P=0.023). In pilot group, all peritoneal sutures were performed by residents independently, whereas in control group, 3 cases (10.7%) were assisted by the supervisor, and the independent completion rate was different significantly (P=0.039).Conclusions The BEST course can help improve surgical residents′ laparoscopic peritoneal suturing techniques and could be promoted in the national standardized training program for surgical residents.

Objective:To identify individuals with accelerated aging under the frailty index (FI) as a proxy indicator of biological age, and to investigate the associations of age at menarche, age at menopause, and reproductive lifespan with frailty status and multi-timepoint FI trajectories among Chinese adult women.Methods:The current study included 302 471 women from the China Kadoorie Biobank 2004-2008 baseline survey data. Their age at menarche and menopause were self-reported, and the duration of reproductive lifespan was calculated by subtracting the two ages. The baseline FI was constructed using 28 baseline variables, including diseases, symptoms, and anthropometric measurements. Frailty status was categorized into three groups: non-frail (FI≤0.10), pre-frail (0.10

Objective:To explore the efficacy and its related factors of rituximab (RTX) in the treatment of children with frequently relapsing nephrotic syndrome/steroid-dependent nephrotic syndrome (FRNS/SDNS).Methods:It was a single-center retrospective study. The clinical data of FRNS/SDNS children first treated with RTX in the First Affiliated Hospital of Sun Yat-sen University from November 1, 2016 to September 1, 2023 were collected. The number of relapse within 1 year before and after RTX treatment, the time to first relapse after RTX treatment, and the time to B-cell reconstitution were analyzed. At the first treatment, a single dose of RTX was given at 375 mg/m 2, with a maximum dose of 500 mg, once a week, for 1 to 4 doses. The count of CD19 + lymphocytes in the peripheral blood of the children was continuously monitored. If B-cell reconstruction was performed, the decision on whether to proceed to the next course of RTX treatment was made based on clinical manifestations. Kaplan-Meier method was used to analyze relapse-free survival rate after receiving RTX. Cox proportional hazards regression model was used to analyze the related factors of relapse after RTX treatment. Results:A total of 98 FRNS/SDNS children receiving RTX treatment were enrolled, including 75 males (76.5%). The age at onset was 4.0 (1.9, 7.1) years and age of receiving RTX was 11.3 (8.5, 13.5) years. There were 90 children (91.8%) achieving complete remission, while 8 patients (8.2%) did not respond to RTX treatment, and 3 patients (3.1%) progressed to end-stage kidney disease after receiving RTX. The relapse-free survival rates at 6 months and 1 year after RTX treatment were 83.3% (75/90) and 57.9% (22/38), respectively. The frequency of relapse 1 year after RTX treatment decreased compared to 1 year before RTX treatment ( Z=-7.398, P<0.001). Compared with children without relapse during the period of B-cell depletion, relapsed children had a higher number of relapse within one year after RTX treatment ( Z=5.246, P<0.001). The time to first relapse after RTX treatment was 8.3 (4.6, 13.9) months in 51 relapse patients. Compared with children receiving 1 dose of RTX in the first course, those receiving 2 or more doses had a longer time to the first relapse ( Z=2.983, P=0.003). There was no statistically significant difference in time to the first relapse between children who received mycophenolate mofetil therapy after RTX treatment and those who didn't ( P>0.05). The reconstruction time of B cells after the first course of RTX was 6.9 (5.3, 9.0) months. Compared to children receiving one dose of RTX in the first course, those receiving two or more doses had a longer B-cell reconstitution time ( Z=2.739, P=0.006). There was no statistically significant difference in B-cell reconstitution time between children who received mycophenolate mofetil therapy after RTX treatment and those who didn't ( P>0.05). Univariate Cox regression analysis showed that recurrence after calcineurin inhibitor (CNI) treatment before RTX treatment and the number of recurrence in one year before RTX treatment were correlated factors of recurrence after RTX treatment (both P<0.05). Multivariate Cox regression analysis showed that recurrence after CNI treatment before RTX treatment was an independent correlated factor of relapse after RTX therapy ( HR=3.496, 95% CI 1.245-9.818, P=0.018). Infusion reactions occurred in 10 patients (10.2%) and infections were observed in 24 patients (24.5%) during B cell depletion. No serious adverse events occurred. Conclusions:RTX is well tolerated and effective in treating FRNS/SDNS. Recurrence after CNI treatment before RTX treatment may be an independent related factor of relapse after RTX treatment.

Objective:To investigate the application of the conjugate gradient (CG) algorithm to treatment plan optimization for intensity-modulated brachytherapy (IMBT).Methods:The general Monte Carlo software TOPAS was utilized to simulate the 192Ir source of IMBT, and the unit dose contribution matrix was calculated. An objective function was established using the weighted least squares method and was solved using the CG algorithm to achieve optimized IMBT treatment plans. The optimization was validated using five clinical cervical cancer cases under modulation width 60°. The dose distributions of IMBT treatment plans under 45°, 60°, 90°, 120°, and 180° modulation widths were compared using the Wilcoxon test to determine the optimal IMBT treatment plan for cervical cancer treatment. Results:The CG algorithm successfully optimized IMBT treatment plans under modulation width 60° for five cases within 22.2 s on average. On the premise of sufficient target dose coverage, the average D2 cm 3 values of the bladder and rectum in IMBT treatment plans were 3.66 and 1.97 Gy, respectively, representing reductions of 0.54 and 0.69 Gy compared to traditional brachytherapy plans. For the five modulation widths, the D90% values of all IMBT treatment plans reached 6 Gy, without statistically significant differences ( P > 0.05). The average D2 cm 3 values of the bladder in IMBT treatment plans were significantly lower than those in the traditional brachytherapy plans( P<0.05), with modulation width 60° associated with the greatest reduction of 0.61 Gy. In contrast, the average D2 cm 3 values of the rectum under 45°, 60°, and 90° modulation widths decreased by 0.63, 0.54, and 0.45 Gy, respectively, compared to traditional plans, with statistically significant differences( P<0.05). Conclusions:The CG method enables rapid achievement of optimized IMBT treatment plans that meet clinical requirements, and modulation width 60° contributes to valid dosimetric optimization. This study can serve as a guide for the clinical implementation of IMBT.

The development status of the key technologies of first-aid robotics was introduced in autonomous system,embo-died intelligence,digital twins,large artificial intelligence model and autonomous unmanned medical treatment.The present situation in first-aid robotics equipment was reviewed for first-aid diagnosis,treatment,assistance and transportation.The development trends of the key technology and equipment of first-aid robotics were analyzed.It was pointed out the involve-ment of big model-based embodied intelligence technology and digital twins technology in first aid might provide new pers-pectives for the application and advancement of specialized first-aid robotics.[Chinese Medical Equipment Journal,2025,46(3):96-114]