Abnormal synaptic plasticity is an early pathological feature of Alzheimer disease (AD). Synaptic damage and dysfunction initiate neuronal degeneration and death, ultimately leading to cognitive impairment. Traditional Chinese medicine (TCM) can effectively ameliorate cognitive dysfunction through multitarget regulation of synaptic plasticity. This review summarizes the mechanisms by which TCM, including active components, single herbs, and classical formulas, modulates synaptic plasticity, offering new insights for future research and clinical applications. Relevant experimental studies published between 2020 and 2024 were retrieved from major databases, including China National Knowledge Infrastructure, the National Science and Technology Library, Wanfang Data, Elsevier, ScienceDirect, PubMed, SpringerLink, and Web of Science. Network pharmacology and bioinformatics approaches were used to predict the therapeutic effects and mechanisms of TCM on AD-related synaptic plasticity. In total, 15 TCM single herbs and 11 TCM formulas were identified as enhancing AD-related synaptic plasticity. Additionally, 15 active ingredients targeting synaptic plasticity in AD were retrieved from TCM databases over the past decade. This review provides novel perspectives and strategic directions for future AD research and therapeutic development.

The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before ¹³¹I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.

Objective To analyze the characteristics of methadone-related poisoning cases and provide a reference for forensic identification.Methods A total of 71 cases of methadone-related poisoning re-ported from 1998 to 2023 in China and 26 cases of methadone-related deaths reported from 2013 to 2018 in Italy were retrieved from databases including PubMed,Wanfang and CNKI.The general infor-mation,forensic pathological and toxicological characteristics were analyzed.Results Among the 71 methadone-related poisoning cases in China,there were 54 cases(76.06%)of poisoning without death and 17 cases(23.94%)of death from poisoning.There were 54 male cases(76.06%),and 51 cases(71.83%)aged 19 to 39 years old.There were 35 cases(49.30%)of poisoning caused by methadone alone,and 32 cases(45.07%)were poisoning caused by methadone combined with other substances or drugs including heroin and benzodiazepines.Most of the poisoned showed coma,respiratory depres-sion and miosis.Signs of asphyxia were often found by autopsy.The mass concentration of methadone detected in the blood of 6 deceased ranged from 0.112 to 3.000 mg/L.Among the 26 methadone-related deaths in Italy,22 cases were male(84.62%).There were 6 cases(23.08%)caused by methadone alone,and 20 cases(76.92%)died from methadone combined with other substances or drugs.The mass concentration of methadone in blood ranged from 0.181 to 4.059 mg/L.Conclusion The propor-tions of poisoning cases caused by methadone alone and methadone combined with other substances or drugs are comparable in China.The majority of deceased caused by methadone poisoning shows typi-cal triad of coma,respiratory depression and miosis,which helps forensic experts determine the cause of death related to methadone.Additionally,it is necessary to increase the routine testing of the con-centration of methadone and its combined substances or drugs in deceased,and collect data for the in-terpretation of the results of related cases.

Objective To explore the relationship between systemic inflammatory response index(SIRI),Heidelberg pancreatic cancer prognosis(HELPP)score,controlled nutritional status(CONUT)score and the related clinicopathological characteristics and survival prognosis of patients after radical resection of pancreatic head cancer,and to build a survival prediction model and evaluate its efficacy.Methods A retrospective analy-sis was conducted on the clinical and pathological data of 169 patients diagnosed with pancreatic head cancer and undergoing radical pancreaticoduodenectomy at the Department of Hepatobiliary Pancreatic Spleen Sur-gery in Inner Mongolia Medical University Affiliated Hospital from January 1,2011 to June 30,2021.Multiva-riate COX regression analysis was used to conduct a proportional hazards model for univariate and multivariate analysis of prognostic factors affecting the overall survival of patients with pancreatic head cancer after surger-y.A prognostic column chart was constructed using R4.2.2.Results The median survival time of 169 pa-tients was 20.8 months,and the cumulative survival rates at 1,2,and 3 years after surgery were 71.6％,38.5％,and 15.4％,respectively.Patients with SIRI ≥1.74,HELPP score＞3,and CONUT score ≥3 had worse prognosis.Multivariate COX regression analysis revealed that TNM staging,tumor maximum diame-ter,carbohydrate antigen(CA)19-9,SIRI,HELPP score,and CONUT score were all independent risk factors affecting prognosis(P＜0.05).The prognostic column chart constructed based on this had good predictive performance.Conclusion SIRI,HELPP score and CONUT score are potential indicators for predicting the prognosis of patients after radical resection of pancreatic head cancer.TNM staging,maximum tumor diame-ter,CA19-9,SIRI,HELPP score,and CONUT score are independent risk factors affecting the prognosis of pancreatic head cancer.The established nomogram model can predict the long-term survival of patients with pancreatic head cancer.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

This study aims to analyze the screening results and epidemiological characteristics of prostate cancer (PCa) among elderly males in the rural areas of Songjiang, Shanghai City, through the implementation of a preliminary prostate-specific antigen (PSA) screening based on a community-linkage model, and to explore an effective screening approach. A retrospective observational study design was employed to collect data from residents who underwent PSA screening at Songjiang Hospital affiliated to Shanghai Jiao Tong University School of Medicine, in collaboration with multiple community health service centers in Songjiang District, Shanghai City, between June 2022 and June 2024, through free clinics and annual health examinations. Prostate biopsy was recommended for individuals with total PSA (tPSA) levels >10 ng/ml and those with 4 ng/ml≤tPSA≤10 ng/ml and abnormal free-to-total PSA (f/tPSA) ratios. Clinical characteristics of detected PCa patients were analyzed. Follow-up was conducted through phone calls and home visits by family doctors, coupled with enhanced health education. The results indicated that a total of 17 198 residents participated in the screening, among which 2 234 (12.99%) had tPSA levels between 4 ng/ml and 10 ng/ml, and 257 (1.49%) had tPSA levels >10 ng/ml. Ultimately, 417 residents underwent prostate biopsy, with 171 being diagnosed with PCa, yielding a positive biopsy rate of 41.00% and a PCa detection rate of 0.99%. The predominant pathological subtype among PCa patients was adenocarcinoma (168 cases, 98.24%). Of the 146 PCa patients who received treatment, the majority were classified as intermediate or high-risk (124 cases, 84.93%). Furthermore, with the optimization of the screening model, there was a significant increase in the proportion of subsequent outpatient visits. In conclusion, the community-linkage-based PSA screening model demonstrated high effectiveness in screening for PCa among elderly males in the rural areas of Songjiang, Shanghai City. Epidemiological findings revealed that PCa patients in this region are primarily composed of intermediate and high-risk groups, highlighting the need for intensified early screening and health education.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

Objective To observe the effects of Yitangkang on brown fat thermogenesis and mitochondrial biogenesis of PGC1α-NRF1/2-TFAM pathway in db/db mice;To explore its mechanism of regulating glucose and lipid metabolism.Methods Totally 27 six-week-old db/db mice were randomly divided into model group,Yitangkang group(30 g/kg)and liraglutide group(200 μg/kg),another 9 db/m mice of the same age were set as normal group.All groups received intervention with drugs or saline for 6 weeks.The body mass and FBG were measured weekly.After intervention,oral glucose tolerance test(OGTT)was carried out,the contents of serum TC,TG,LDL-C and HDL-C were detected by biochemical analyzer,HE staining was used to observe the morphology of brown adipose tissue(BAT)in scapular region,RT-qPCR and Western blot were used to detect the expressions of UCP1,PRDM16,PGC1α related to BAT thermogenesis and NRF1,Nrf2,TFAM related to mitochondrial biogenesis.Results Compared with the normal group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C content of model group significantly increased(P<0.01),the content of HDL-C significantly decreased(P<0.01);the diameter of BAT cells in scapular region was larger,white vacuoles appeared,lipid droplets increased,and the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT decreased significantly(P<0.01).Compared with the model group,the body mass,FBG,area under the curve of OGTT and serum TG,TC,LDL-C contents of Yitangkang group and liraglutide group significantly decreased(P<0.01),the content of HDL-C increased(P<0.01);BAT cells were smaller in diameter,more closely arranged,more regular in shape,and more abundant in capillary,the mRNA and protein expressions of UCP1,PRDM16,PGC-1α,NRF1,NRF2 and TFAM in BAT increased significantly(P<0.01).Conclusion Yitangkang can regulate mitochondrial biogenesis through PGC1α-NRF1/2-TFAM pathway to activate brown fat in db/db mice and improve glucose and lipid metabolism in db/db mice.

Objectives: This study aimed to analyze the epidemiology and trends of hemorrhagic fever with renal syndrome (HFRS) in Weifang, China (2013–2021) and to guide prevention strategies. Methods: The study examined the prevalence and incidence trends of HFRS in Weifang (2013–2021). Spearman correlation and wavelet analysis were employed to explore variable relationships and their associations with HFRS incidence. Generalized additive models (GAMs)were used to identify key risk factors, while structural equation modeling (SEM) quantified direct and indirect pathways influencing HFRS transmission. Finally, Bayesian time-series models wereapplied to predict future HFRS risk. Results: Weifang reported 2,118 HFRS cases, which displayed distinct seasonality. Spearman correlation linked economic factors (gross domestic product [GDP], crop area, grain output, green space) and meteorological factors (temperature, pressure) to incidence (r > 0.8). Wavelet analysis identified Mus musculus (2013–2016) and Rattus norvegicus (2017–2021) as dominant reservoirs, with temperature, precipitation, and humidity correlating with incidence. GAMsrevealed a U-shaped relationship between rodent density and HFRS and an inverted U-shapedrelationship between temperature (threshold, 11.64 °C) and HFRS. SEM highlighted the direct and indirect effects of climate via rodent density, mirrored by economic factors (e.g., GDP). Bayesianmodels effectively predicted HFRS (root mean square error, 7.36; mean absolute percentage error, 0.28; R2 = 0.65). Conclusion Climate, economic, and anthropogenic factors drive the spread of HFRS. Preventionstrategies should integrate local economic conditions with meteorological and anthropogenicfactors. Bayesian time-series modeling effectively predicts HFRS trends, supporting precisionprevention strategies.

Drainage technology is widely used in clinical practice.At present,the observation of drainage fluid mainly relies on long-term,intermittent manual monitoring and estimation by medical personnel.This method is not only time-consuming and labor-intensive,but also has low accuracy,improper implementation,however,may result in excessive drainage,potentially leading to a spectrum of complications.Therefore,there is an urgent need to develop an intelligent drainage bag capable of quantitative automatic alarm to achieve accurate quantitative control of drainage fluid.For this reason,School of Nursing,Nanjing University of Chinese Medicine and Dongguan Mengtai Nursing Products Co.,Ltd.designed an intelligent drainage bag based on magnetic control adjustment that can alarm,and obtained a National Utility Model Patent of China(Patent Number:ZL 2021 2 0238620.4),this device is mainly composed of drainage bag,alarm,electrode wire,magnet,metal positioning ball,using the principle that water can conduct electricity design circuit diagram,there is a magnet on the outside side of the drainage bag,through the magnet to the magnetic principle of the metal positioning ball to control the location of the positioning ball,when the drainage fluid triggers the positioning ball,that is,the drainage fluid reaches the predetermined value.The alarm alarms automatically.The device enables accurate and personalized control of drainage fluid,reduces the incidence of excessive drainage,and features low production cost and simple operation,and can be widely used in clinical departments,worthy of clinical practice and application.