Objective To investigate the correlation between gut microbiota characteristics and immunotherapy efficacy in patients with advanced microsatellite stable (MSS) advanced gastrointestinal tumors. Methods Thirty patients with advanced MSS gastrointestinal tumors, including fourteen cases of gastric cancer and sixteen cases of colorectal cancer, who were admitted from November 1, 2022, to July 31, 2025 were enrolled. All patients underwent gut microbiota testing and received corresponding interventions on the basis of the results, followed by treatment with antiangiogenic agents combined with immunotherapy. Some patients additionally received probiotics or fecal microbiota transplantation. The primary endpoints were disease control rate (DCR) and objective response rate (ORR). The secondary endpoints were progression-free survival (PFS) and overall survival (OS). Univariate and multivariate Cox regression analyses were used to assess potential prognostic factors. Results Among the thirty patients, no complete response was observed. Two cases of partial response (PR), twelve cases of stable disease, and sixteen cases of progressive disease were recorded. The ORR was 6.7%, and the DCR was 46.7%. The median PFS was 6.4 months, and the median OS was 8.3 months. Both PR patients were classified as having a medium risk of gut microbiota dysbiosis and exhibited a Bacteroides-dominated enterotype. Multivariate analysis indicated that tumor type, liver metastasis, and bone metastasis were potential prognostic factors for PFS and OS. Conclusion Patients with a medium risk of gut dysbiosis may exhibit a relatively favorable response to immunotherapy, suggesting that gut microbiota status could serve as a potential biomarker for predicting treatment efficacy in advanced MSS gastrointestinal tumors.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the expression characteristics of the SLFN11 gene in pancreatic cancer and its relationship with cis-diamminedichloroplatinum(DDP)resistance.Methods:This study analyzed multiple publicly available datasets, including GSE207611, GSE186205, GSE73978, GSE217845, and GSE238163 from the gene expression omnibus(GEO)datasets.These datasets comprise gene expression data and single-cell sequencing data from pancreatic cancer cell lines and patients, which were utilized to examine the expression characteristics of the SLFN11 gene and its association with cisplatin resistance.Receiver operating characteristic (ROC) curves were generated, and the area under the curve (AUC) value along with the confidence interval ( CI) were calculated.Additionally, Kaplan-Meier survival analysis and single-cell RNA sequencing(scRNA-seq)data analysis were conducted. Results:The differential expression of the SLFN11 gene between tumor and adjacent normal tissues was statistically significant( P<0.05). The AUC value for SLFN11 in diagnosing pancreatic cancer was 0.761.SLFN11, along with its associated genes PTN and SLC15A3, collectively influenced the survival of pancreatic cancer patients.Results from single-cell sequencing demonstrated high expression of SLFN11 in mesenchymal stem cells. Conclusions:The SLFN11 gene demonstrates significant diagnostic and prognostic value in pancreatic cancer and may play a role in the mechanism of cisplatin resistance.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

Objective:To investigate the factors influencing the persistence of prostate specific antigen(PSA) following radical prostatectomy, and to develop and validate a predictive model for PSA persistence.Methods:Clinical data from 1 828 patients who underwent radical prostatectomy at Shanghai Changhai Hospital between January 2015 and December 2023 were retrospectively analyzed. Of these, 1 295 patients from January 2015 to April 2021 comprised the modeling group, while 533 patients from May 2021 to December 2023 formed the validation group. Additionally, 109 patients who underwent radical surgery at the Third Affiliated Hospital of Naval Medical University between March and December 2023 were included as an external validation group. Patients with incomplete clinical information, serum PSA levels exceeding 100 ng/ml, or those who received preoperative neoadjuvant therapy were excluded. Ultimately, 1 003, 369, and 86 patients were included in the modeling, validation, and external validation groups, respectively. The modeling group had serum PSA of 19.29 (8.43, 23.73) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 191, 673, 123, and 16 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 460, 466, and 77 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 363, 486, and 154 patients, respectively. The validation group had serum PSA of 12.80 (6.82, 14.40) ng/ml; the clinical stages were distributed as T 1, T 2, T 3, and T 4 in 40, 289, 37, and 3 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 218, 145, and 6 patients, respectively; and the secondary Gleason scores were 3, 4, and 5 in 140, 184, and 45 patients, respectively. The external validation group had serum PSA of 12.84 (7.11, 12.97) ng/ml; the clinical stages were distributed as T 1, T 2 and T 3 in 9, 68, and 9 patients, respectively; the primary Gleason scores of biopsy were 3, 4, and 5 in 58, 27, and 1 patient, respectively; and the secondary Gleason scores were 3, 4, and 5 in 28, 50, and 8 patients, respectively. Logistic regression analysis was used to identify independent risk factors for PSA persistence after radical prostatectomy in the modeling group and a prediction model was constructed. The predictive performance of the model was analyzed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve, the calibration curve, and the clinical decision curve. The predictive performance of the model was verified by the ROC curve in the validation group and the external validation group. Results:The incidence of persistent PSA after surgery in the modeling group, validation group, and external validation group was 8.97% (90/1 003), 7.32% (27/369), and 17.4% (15/86), respectively. In the modeling group, univariate and multivariate logistic regression analysis revealed that serum PSA, percentage of positive needle cores, primary Gleason score on biopsy, and secondary Gleason score on biopsy were independent risk factors for PSA persistence ( P<0.05), and a prediction model was constructed based on these factors. The AUC value of this model was 0.790 (95% CI 0.745-0.835). Calibration curve and clinical decision curve analyses showed that the model's predicted probabilities aligned well with actual risks within the 0-40% prediction interval, providing clinical benefit. The AUC values of the ROC curves in the validation group and external validation group were 0.808 (95% CI 0.719-0.897) and 0.822 (95% CI 0.714-0.929), respectively, indicating that the model had good predictive performance. Conclusions:The predictive model for PSA persistence, constructed based on serum PSA, percentage of positive needle cores, primary and secondary Gleason score on biopsy, demonstrated good clinical predictive performance, exhibiting high accuracy in both internal and cross-center validation.

Objective To investigate the therapeutic effects of upper limb rehabilitation robot training combined with intermittent theta burst stimulation(iTBS)on upper limb motor and neurological function in stroke patients with hemiplegia.Methods This study retrospectively consecutive enrolled 46 stroke hemiparetic patients from the Department of Rehabilitation Medicine,Nanjing Pukou People's Hospital.The patients were randomly assigned to a control group and an experimental group(23patients in each)using a random number table.Baseline data,including sex,age,disease duration,side of hemiplegia,and stroke type,were collected from patients enrolled.All patients received conventional treatment.The control group received upper limb rehabilitation robot training combined with iTBS sham stimulation(coil placed perpendicular to the skull),while the experimental group received upper limb rehabilitation robot training combined with iTBS real stimulation(coil placed parallel to the skull).Both groups underwent treatment for 3 weeks.Upper limb motor function was assessed using the Fugl-Meyer upper extremity(FMA-UE)scale and Wolf motor function test(WMFT);while neurological function was evaluated using the motor-evoked potentials(MEP)latency,amplitude,and central motor conduction time(CMCT)of the affected thumb abductor muscle.Activities of daily living were assessed using the modified Barthel index(MBI).Results(1)No significant differences in baseline data were found between the two groups(all P＞0.05).(2)Before treatment,the FMA-UE and WMFT scores in the experimental group were 27.48±7.87 and 28.22±3.87,respectively;and in the control group were 26.35±4.78 and 28.35±3.33,respectively;there were no significant differences in both FMA-UE and WMFT scores between the two groups(all P＞0.05).After 3weeks of treatment,the FMA-UE and WMFT scores in the experimental group were 40.35±8.96 and 37.74±4.11,respectively;and in the control group were 32.78±4.50 and 32.57±4.11,respectively;there were significant interaction effects of time and group(Ftime×group values of 19.613 and 31.522,both P＜0.01),main effects of group(Fgroup values of 5.401 and 5.897,both P＜0.05),and main effects of time(Ftime values of 176.516 and 211.478,both P＜0.01).(3)Before treatment,the MEP latency,amplitude,and CMCT in the experimental group were(24.39±3.56)ms,(137.77±42.67)μV,and(10.62±2.76)ms,respectively;and in the control group were(24.64±2.77)ms,(136.74±48.77)μV,and(10.73±1.84)ms,respectively,there were no significant differences between the two groups(all P＞0.05).After 3weeks of treatment,the MEP latency,amplitude,and CMCT in the experimental group were(20.39±1.83)ms,(239.91±43.70)μV,and(6.58±1.23)ms,respectively,and in the control group were(22.53±3.53)ms,(198.54±50.37)μV,and(9.19±1.60)ms,respectively,there were significant interaction effects of time and group(Ftime×group values of 7.270,15.554,and 20.110,all P＜0.05)and main effects of time(Ftime values of 76.540,256.706,and 100.629,all P＜0.01),the main effect of group for CMCT was significant(Fgroup=7.406,P＜0.01),but there were no significant difference in the main effect of group on MEP latency,amplitude between two groups(Fgroup values of 2.145,2.778,both P＞0.05).(4)Before treatment,the MBI score in the experimental group was 42.83±7.36,and in the control group was 43.91±6.56,with no significant difference between two groups(P＞0.05).After 3 weeks of treatments,the MBI score in the experimental group was 67.83±12.69,and in the control group was 54.13±5.57,there were significant interaction effects of time and group(Ftime×group=39.862,P＜0.01),main effects of group(Fgroup=8.083,P=0.007),and main effects of time(Ftime=226.241,P＜0.01).Conclusions Upper limb rehabilitation robot training combined with iTBS can improve upper limb motor function and neurological function and enhance the daily living activity ability of stroke patients.Real iTBS combined with robot training has a more significant effect than sham iTBS.

OBJECTIVE To retrospectively analyze the drug resistance characteristics of the patients with multidrug-resistant organisms(MDROs)infections who were hospitalized from 2022 to 2023 and observe the effect of multi-disciplinary teamwork(MDT)mode so as to provide scientific bases for prevention and control of MDROs infec-tions and hospital-associated infections.METHODS A total of 639 patients with MDROs infection who were hospi-talized in Jianyang People's Hospital from Jan.2022 to Dec.2023 were recruited as the research subjects.The clinical data were collected from the patients,the drug resistance characteristics of bacteria were analyzed.The effects of MDT and pharmacological supervision on treatment of the patients with MDROs infection were observed and compared.RESULTS The methicillin-resistant Staphylococcus aureus(MRSA)(359 strains,56.18％)was dominant among the pathogens isolated from the 639 patients with MDROs infections,followed by the carbapen-em-resistant Klebsiella pneumoniae(CRKP)(96 strains,15.02％)and carbapenem-resistant Acinetobacter bau-mannii(82 strains,12.83％).Of the patients with MDROs infection,150(23.47％)were from critical care medicine department,94(14.71％)from pediatrics department,and 82(12.83％)from general surgery de-partment.The result of drug susceptibility test showed that the S.aureus strains were susceptible to linezolid,daptomycin,vancomycin and tigecycline;most of the gram-negative bacteria were susceptible to carbapenems,while the A.baumannii strains were highly resistant to the commonly used antibiotics.The total isolation rate of MDROs and the case-time infection rate of MDROs infections were 14.32％and 0.05％,respectively,after MDT and pharmacological supervision were carried out,lower than those before carried out;the effective treatment rate of the patients with MDROs was 76.47％after MDT and pharmacological supervision were carried out,higher than that before they were carried out,and there were significant differences(all P＜0.05).CONCLUSION MDT and pharmacological supervision may improve the curative effect of the patients with MDROs infection and reduce the isolation rate of MDROs as well as the incidence of hospital-associated infections.