In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

OBJECTIVE:To assess the efficacy and safety of transcranial magnetic stimulation in the treatment of refractory depression and to compare the differences in efficacy between various transcranial magnetic stimulation treatment protocols in refractory depression,thereby providing a theoretical basis for the clinical selection of transcranial magnetic stimulation treatment protocols.METHODS:A comprehensive search was conducted across multiple databases,including PubMed,Embase,Cochrane Library,Web of Science,CNKI,WanFang Data,CBM and VIP.The search terms were"transcranial magnetic stimulation,treatment-resistant depression,randomized controlled trial"in Chinese,and"depressive disorder,treatment-resistant,transcranial magnetic stimulation,randomized controlled trial"in English.The objective was to identify randomized controlled trials on the treatment of patients with refractory depression published from the establishment of the databases to September 2024.The quality of the included studies was evaluated using the Cochrane risk of bias assessment tool,version 5.1.0,and the Physiotherapy Evidence Database scale.Meta-analysis of the outcome indicators was conducted using the Review Manager 5.4 and Stata 18.0 software.RESULTS:(1)Following a comprehensive review,20 randomized controlled trials were included in the analysis.All of the trials were assessed to be of high or very high quality according to the Physiotherapy Evidence Database scale.(2)Meta-analysis results showed that,compared with the sham stimulation group,high-frequency repetitive transcranial magnetic stimulation could significantly reduce the scores of Hamilton Depression Rating Scale[mean difference(MD)=-3.89,95％confidence interval(CI):-6.14 to-1.65,P＜0.05)or the Montgomery Depression Rating Scale(MD=-3.97,95％CI:-6.57 to-1.36,P＜0.05).(3)The probability ranking results of the network Meta-analysis showed that,in terms of the Hamilton Depression Rating Scale score,the probability ranking results were as follows:high-frequency repetitive transcranial magnetic stimulation(69.9％)＞intermittent theta burst stimulation(62.8％)＞bilateral theta pulse stimulation(57.5％)＞low-frequency repetitive transcranial magnetic stimulation(54.9％)＞bilateral sequential transcranial magnetic stimulation(49.0％)＞transcranial pulsed electromagnetic field(37.0％)＞sham stimulation(18.9％).And in terms of the Montgomery Depression Rating Scale score,the probability ranking results were as follows:high-frequency repetitive transcranial magnetic stimulation(93.3％)＞bilateral theta pulse stimulation(50.3％)＞sham stimulation(45.9％)＞low-frequency repetitive transcranial magnetic stimulation(32.1％)＞bilateral sequential transcranial magnetic stimulation(28.4％).CONCLUSION:Transcranial magnetic stimulations can improve the depressive symptoms of patients with treatment-resistant depression.Among them,the high-frequency repetitive transcranial magnetic stimulation mode has the best effect on improving the depressive symptoms of patients with treatment-resistant depression,followed by the intermittent θ burst stimulation mode.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective:To explore the mechanism of aerobic exercise regulating autophagy to improve myocardial fibrosis in mice with atherosclerosis.Method:Eight weeks old male ApoE-/-knockout mice were randomly divided into model group,aerobic exer-cise group and blank control group after one-week adaption,with nine mice in each group.The atherosclerosis model was established by fed a"Western type"diet for 12 weeks and the aerobic exercise group was re-ceived aerobic training at the same time.After 12 weeks,Oil Red O staining was used to observe the patho-logical status of atherosclerosis in the two groups,and Masson dyeing was used to detect myocardial fibrosis in each group.The expressions and localization of ATG5,LC3BⅡ/Ⅰ,Beclin-1 and p62 in myocardial tissue of mice in each group were detected by immunofluorescence.The protein levels of ATG5,LC3BⅡ/Ⅰ,Beclin-1 and p62 in myocardial tissue of each group were detected by Western Blot.Result:Oil red O staining showed that obvious atherosclerotic plaque formation was found in the model group,while the area of atherosclerotic plaque in the aerobic exercise group was significantly less than that in the model group,indicating the degree of atherosclerosis was significantly improved.Masson dyeing showed that myocardial fibrosis in the aerobic exercise group was significantly improved compared with the model group,and the degree of myocardial fibrosis in both groups was greater than that in the blank control group.Immunofluorescence and Western Blot analysis showed that the expression levels of ATG5,LC3B II/I,and Be-clin-1 in the myocardial tissue of aerobic exercise group mice were significantly increased,while the level of p62 protein was significantly reduced(P<0.05).Conclusion:Aerobic exercise can significantly improve myocardial fibrosis in mice with atherosclerosis,and the mechanism may be related to aerobic exercise activated autophagy-related factors in myocardial tissue of mice.

Objective:To explore the relationship between serum omentin-1 and 25-hydroxyvitamin D 3 [25(OH)D 3] levels and bone age index (BAI), pelvic ultrasound findings in girls with central precocious puberty (CPP). Methods:This was a cross-sectional observational study. A total of 150 girls with CPP admitted to the Shaanxi Provincial People′s Hospital from October 2021 to October 2023 were selected as the CPP group, and 63 normal girls who underwent physical examination at the child health clinic during the same period were selected as the control group. Serum Omentin-1 and 25(OH)D 3 levels were detected; anteroposterior X-ray and pelvic ultrasound examinations were performed to obtain BAI, ovarian volume, and uterine volume. Pearson correlation analysis was used to evaluate the correlations of Omentin-1 and 25(OH)D 3 with BAI, ovarian volume, and uterine volume. Multivariate logistic regression analysis was used to screen the influencing factors of CPP, and receiver operating characteristic (ROC) curve was drawn to analyze the value of Omentin-1 and 25(OH)D 3 in diagnosing CPP. Results:The serum levels of Omentin-1 and 25(OH)D 3 in the CPP group were lower than those in the control group (all P<0.05); BAI, uterine volume, and ovarian volume in the CPP group were larger than those in the control group, and the number of follicles with diameter ≥4 mm was more than that in the control group (all P<0.05). In girls with CPP, serum Omentin-1 and 25(OH)D 3 levels were negatively correlated with BAI, uterine volume, ovarian volume, and the number of follicles with diameter ≥4 mm (all P<0.05). Multivariate logistic regression analysis showed that maternal menarche age ≤12 years, high BMI, high BAI, and high estradiol were risk factors for CPP (all P<0.05), while high Omentin-1 and high 25(OH)D 3 were protective factors for CPP (all P<0.05). The areas under the curve (AUC) of Omentin-1 and 25(OH)D 3 for diagnosing CPP were 0.799 and 0.808 respectively; the AUC of combined diagnosis was 0.886, which was higher than that of single diagnosis (all P<0.05). Conclusions:Decreased serum Omentin-1 and 25(OH)D 3 levels in girls with CPP are associated with high BAI and increased ovarian and uterine volumes. The combination of Omentin-1 and 25(OH)D 3 has high value in the diagnosis of CPP.

Objective:To explore the choice willingness and related factors of peritoneal dialysis patients regarding automated peritoneal dialysis (APD), in order to provide a basis for future technological improvements and enhancing the application rate of APD.Methods:This was a single-center cross-sectional study. Patients newly initiated on peritoneal dialysis due to end-stage renal disease in the Renal Division, Peking University First Hospital between January 1, 2021 and May 30, 2023 were enrolled. Demographic characteristics, clinical information, and laboratory data were collected. After completing initial training on APD and providing hands-on experience, a self- designed semi-quantitative questionnaire survey was administered to assess patients' willingness to adopt APD and to evaluate potential barriers to its implementation. Factors associated with patients' choice of APD were further analyzed.Results:A total of 203 newly enrolled peritoneal dialysis patients were included in the study, with an age of (53.40±15.86) years, and 57.1% (116 patients) of the participants were male. Among them, 71 patients (35.0%) chose APD, while 132 (65.0%) did not. There were no significant differences in the clinical characteristics between the APD group and the non-APD group (all P>0.05). Compared with the non-APD group, the APD group had a higher proportion of individuals who frequently traveled for business ( χ2=11.442, P<0.001) and a higher proportion with smaller peritoneal cavity volumes ( χ2=5.639, P=0.018). Among patients in the two group, significant differences were observed in self-rated difficulty of APD operation ( χ2=22.291, P<0.001), availability of space for APD setup ( χ2=21.773, P<0.001), 8-hour nocturnal APD treatment ( χ2=17.540, P<0.001), learning difficulty of machine operation ( P<0.001), learning difficulty of machine setting ( P<0.001), impact of APD on sleep ( χ2=6.826, P=0.033), impact of APD on nocturnal urination ( χ2=19.428, P<0.001), and annual cost of APD equipment ( χ2=39.066, P<0.001). Multivariate logistic regression analysis indicated that reimbursement for APD supplies ( OR=3.736, 95% CI 1.655-8.435, P=0.002), with smaller abdominal cavity volume ( OR=58.610, 95% CI 5.000-687.007, P=0.001), the acceptability of 8-hour nocturnal APD treatment ( OR=5.312, 95% CI 1.256-22.461, P=0.023), the low degree of difficulty in learning machine setting ( OR=29.299, 95% CI 2.025-423.812, P=0.013) and the annual cost of accessible APD equipment ( OR=3.643, 95% CI 1.348-9.842, P=0.011) were independent factors associated with patients' choice of APD treatment. Conclusion:Reimbursement for APD supplies, smaller abdominal cavity volume, the acceptability of 8-hour nocturnal APD treatment, the low degree of difficulty in learning machine setting, and the annual cost of accessible APD equipment are the main factors related patients' decision to choose APD treatment.

Objective:To compare the effect of empirical cefazolin and vancomycin on the adverse outcomes in peritoneal dialysis (PD)-associated peritonitis patients.Methods:This was a retrospective analysis of a single-centre prospective cohort. Clinical data of consecutive PD-related peritonitis episodes occurring for the first time in patients (≥18 years) between January 1, 2008 and December 31, 2021 were reviewed. Patients were classified into a cefazolin group or a vancomycin group according to the empirical antibiotic regimen. The primary endpoint was peritonitis-related death within 1 month of onset and the secondary endpoint was transfer to haemodialysis for peritonitis-related reasons within the same period. Differences in both endpoints between the two regimens were analysed in the overall population and in the Gram-positive peritonitis subgroup. Univariable and multivariable logistic regression models were used to estimate the risk of adverse outcomes associated with antibiotic choice. Propensity-score matching was performed to control for confounding bias.Results:A total of 516 eligible PD patients developed peritonitis during the study period were included, among whom 138 received empirical cefazolin and 322 received vancomycin. Baseline characteristics were significantly different between the cefazolin and vancomycin groups, including annual income >50 000 yuan ( χ2=17.854, P<0.001), cardiovascular disease history ( χ2=3.909, P=0.048), prior peritonitis history ( χ2=18.327, P<0.001), serum albumin ( t=2.430, P=0.013), triglycerides ( Z=-3.108, P=0.002), total cholesterol ( t=3.752, P<0.001), phosphate ( t=3.362, P=0.002) and sodium ( t=3.021, P=0.004). Neither peritonitis-related mortality nor transfer to haemodialysis differed between the cefazolin and vancomycin groups in the overall cohort or in the Gram-positive peritonitis subgroup (all P>0.05). Logistic regression analysis (univariable and multivariable) showed that empirical vancomycin was not associated with a higher risk of adverse outcome when compared with cefazolin in the overall cohort or in the Gram-positive peritonitis subgroup (all P>0.05). After propensity-score matching, results remained consistent (all P>0.05). Conclusion:Empirical cefazolin and vancomycin yield similar rates of short-term adverse outcomes in patients with PD-associated peritonitis, including those caused by Gram-positive organisms.

In recent years, the situation of climate change has intensified, posing a threat to public health. There is an urgent need to promote public health adaptation actions to climate change. In January 2025, the National Disease Control and Prevention Administration issued the "Guidelines for Public Health Adaptation Actions to Climate Change" (hereinafter referred to as the "Guidelines"). The Guidelines put forward 20 items of guidance on six categories of public health adaptation actions, including understanding basic concepts, comprehending important policies, learning core knowledge, paying attention to key populations, practicing a low-carbon lifestyle, and mastering protection skills. It elaborates on the key concepts and the latest policies that the public needs to understand, and also provides the behavioral concepts and protection skills that should be mastered to adapt to climate change. This article provides a systematic interpretation of the Guidelines, introducing the background, ideas, connotations, and applications of their compilation, with the aim of enhancing society′s cognitive understanding of the Guidelines.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective To investigate the impact of Toxoplasma gondii type I, II and III rhoptry protein 16 (ROP16) on programmed cell death ligand 1 (PD-L1) expression in lung adenocarcinoma cells, and to examine the effects of T. gondii type I ROP16 protein on the relative PD-L1 expression, the relative PD-L1 distribution on the cell membrane surface, and the binding of programmed cell death 1 (PD-1) to PD-L1 in lung adenocarcinoma cells. Methods Lentiviral vectors overexpressing T. gondii type I, II and III ROP16 proteins were generated, and transfected into the human lung adenocarcinoma A549 cell line. A549 cells were used as a blank control group, and A549 cells transfected with an empty lentiviral expression vector were used as a negative control group, while A549 cells transfected with lentiviral vectors overexpressing T. gondii type I, II and III ROP16 proteins served as experimental groups. Stably transfected cells were selected with puromycin and verified using Western blotting, quantitative real-time PCR (RT-qPCR), and immunofluorescence assays. The PD-L1 expression was quantified at translational and transcriptional levels using Western blotting and RT-qPCR assays in A549 cells in the five groups, and the relative PD-L1 distribution was detected on the A549 cell membrane surface using flow cytometry. In addition, the effect of T. gondii type I ROP16 protein on the PD-1/PD-L1 binding was measured in A549 cells using enzyme-linked immunosorbent assay (ELISA). Results The relative ROP16 protein expression was 0, 0, 1.546 ± 0.091, 1.822 ± 0.047 and 2.334 ± 0.089 in the blank control group, negative control group, and the T. gondii type I, II and III ROP16 protein overexpression groups (F = 1 339.00,P < 0.001), and the relative ROP16 mRNA expression was 2.153 ± 0.949, 2.436 ± 1.614, 14.343 ± 0.020, 12.577 ± 0.285 and 15.090 ± 0.420 in the blank control group, negative control group and the T. gondii type I, II and III ROP16 protein overexpression groups, respectively (F = 483.50,P < 0.001). The ROP16 expression was higher in the T. gondii type I, II and III ROP16 protein overexpression groups than in the blank control group at both translational and transcriptional levels (allP values < 0.001). Immunofluorescence assay revealed that T. gondii type I, II and III ROP16 proteins were predominantly localized in A549 cell nuclei. Western blotting showed that the relative PD-L1 protein expression was 0.685 ± 0.109, 0.589 ± 0.114, 1.007 ± 0.117, 0.572 ± 0.151, and 0.426 ± 0.116 in the blank control group, negative control group, and the T. gondii type I, II and III ROP16 protein overexpression groups (F = 9.46,P < 0.05), and RT-qPCR assay quantified that the relative PD-L1 mRNA expression was 1.012 ± 0.190, 1.281 ± 0.465, 1.950 ± 0.175, 0.889 ± 0.251, and 0.230 ± 0.192 in the blank control group, negative control group, and the T. gondii type I, II and III ROP16 protein overexpression groups (F = 14.18,P < 0.05). The PD-L1 expression was higher in the T. gondii type IROP16 protein overexpression group than in the blank control group at both translational and transcriptional levels (both P values < 0.05). Flow cytometry detected that the relative distributions of PD-L1 protein were (10.83 ± 0.60)%, (11.23 ± 0.20)%, and (14.61 ± 0.50)% on the A549 cell membrane surface (F = 28.31, P < 0.05), and the relative distribution of PD-L1 protein was higher in the T. gondii type IROP16 protein overexpression group than in the blank control group and negative control group (both P values < 0.001). ELISA measured significant differences in the absorbance (A) value among the T. gondii type IROP16 protein overexpression group, the blank control group and the negative control group if the concentrations of the recombinant PD-1 protein were 0.04 (F = 10.45, P < 0.05), 0.08 μg/mL (F = 11.68, P < 0.05) and 0.12 μg/mL (F = 52.68, P < 0.05), and the A value was higher in the T. gondii type IROP16 protein overexpression group than in the blank control group and the negative control group (both P values < 0.05), indicating that T. gondii type IROP16 protein promoted the PD-L1/PD-1 binding in A549 cells in a concentration-dose manner. Conclusions T. gondii type IROP16 protein overexpression may up-regulate PD-L1 expression in A549 cells at both transcriptional and translational levels and the relative PD-L1 distribution on the A549 cell membrane surface, and affect the PD-1/PD-L1 binding in a concentration-dependent manner.