BACKGROUND:Sarcopenia is an age-related systemic skeletal muscle disease,which is associated with a variety of adverse outcomes such as falls,functional decline,frailty,and death.Postmenopausal women are one of the high-risk groups for sarcopenia.OBJECTIVE:To develop a predictive model for assessing the risk of sarcopenia in Chinese postmenopausal women based on high-quality database.METHODS:Data for this study were derived from 2 370 postmenopausal women from the China Health and Retirement Longitudinal Study(CHARLS),and sarcopenia was assessed using the Asian Working Group on Sarcopenia 2019(AWGS2019)recommended metrics.The study cohort was randomized into a training set(70％)and a validation set(30％).Risk factors for sarcopenia in postmenopausal women were screened using the least absolute shrinkage and selection operator,ten-fold cross-validation,and logistic regression.Nomogram predicting the risk of sarcopenia in postmenopausal women was constructed based on the risk factors,and the model efficacy was evaluated by the receiver operating characteristic curve and area under the curve(AUC),calibration curve,and decision curve analysis.RESULTS AND CONCLUSION:The prevalence of sarcopenia in this study was 23.50％and age,place of residence,sleep quality,cognitive function,depression,and the number of chronic diseases were selected as predictors of sarcopenia in postmenopausal women.The nomogram model showed good discrimination between the training and validation sets,with an AUC value of 0.751(95％confidence interval=0.724-0.778,P＜0.001),a specificity of 72.2％,and a sensitivity of 63.2％in the training set,and an AUC value of 0.763(95％confidence interval=0.721-0.805,P＜0.001),with a specificity of 69.6％and a sensitivity of 70.8％.The calibration curve showed a relatively significant agreement between the nomogram model and the actual observations,and the decision curve analysis demonstrated broad and good clinical utility.To conclude,the nomogram to assess the risk of sarcopenia constructed based on age,place of residence,sleep quality,cognitive function,depression,and number of chronic diseases,provides an effective tool for identifying and eliminating risk factors for sarcopenia in Chinese postmenopausal women,and helps to reduce the incidence of sarcopenia.

BACKGROUND:Sarcopenia is an age-related systemic skeletal muscle disease,which is associated with a variety of adverse outcomes such as falls,functional decline,frailty,and death.Postmenopausal women are one of the high-risk groups for sarcopenia.OBJECTIVE:To develop a predictive model for assessing the risk of sarcopenia in Chinese postmenopausal women based on high-quality database.METHODS:Data for this study were derived from 2 370 postmenopausal women from the China Health and Retirement Longitudinal Study(CHARLS),and sarcopenia was assessed using the Asian Working Group on Sarcopenia 2019(AWGS2019)recommended metrics.The study cohort was randomized into a training set(70％)and a validation set(30％).Risk factors for sarcopenia in postmenopausal women were screened using the least absolute shrinkage and selection operator,ten-fold cross-validation,and logistic regression.Nomogram predicting the risk of sarcopenia in postmenopausal women was constructed based on the risk factors,and the model efficacy was evaluated by the receiver operating characteristic curve and area under the curve(AUC),calibration curve,and decision curve analysis.RESULTS AND CONCLUSION:The prevalence of sarcopenia in this study was 23.50％and age,place of residence,sleep quality,cognitive function,depression,and the number of chronic diseases were selected as predictors of sarcopenia in postmenopausal women.The nomogram model showed good discrimination between the training and validation sets,with an AUC value of 0.751(95％confidence interval=0.724-0.778,P＜0.001),a specificity of 72.2％,and a sensitivity of 63.2％in the training set,and an AUC value of 0.763(95％confidence interval=0.721-0.805,P＜0.001),with a specificity of 69.6％and a sensitivity of 70.8％.The calibration curve showed a relatively significant agreement between the nomogram model and the actual observations,and the decision curve analysis demonstrated broad and good clinical utility.To conclude,the nomogram to assess the risk of sarcopenia constructed based on age,place of residence,sleep quality,cognitive function,depression,and number of chronic diseases,provides an effective tool for identifying and eliminating risk factors for sarcopenia in Chinese postmenopausal women,and helps to reduce the incidence of sarcopenia.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

ObjectiveTo evaluate the safety and clinical utilization of traditional Chinese medicine （TCM） formula granules based on real-world data， and to provide evidence for their rational clinical use. MethodsA multicenter， prospective， open-label， observational centralized monitoring study was conducted. Participants who received TCM formula granules in 293 medical institutions throughout China from February 5th， 2020 to May 20th， 2025 were consecutively enrolled. The year of data collection was used as the stratification factor. Demographic characteristics （including sex， age， and concomitant medication use）， information on TCM formula granule use （including mean prescribed dosage and inappropriate use）， and adverse event（AE）/adverse drug reaction（ADR） occurrence and related factors were collected and statistically analyzed. ResultsA total of 42 011 participants were included in the safety set （SS）， with a mean age of （38.34±22.30） years， including 18 693 males and 23 318 females. Among them， 3519 participants （8.38%） had a history of or concomitant diseases. The three most common comorbidities were hypertension （1189 cases， 33.79%）， diabetes mellitus （850 cases， 24.15%）， and coronary heart disease （471 cases， 13.38%）. The top three diagnostic categories were respiratory， thoracic， and mediastinal diseases （7008 cases， 16.68%）， infectious and parasitic diseases （6591 cases， 15.69%）， and gastrointestinal diseases （4580 cases， 10.90%）.Among 41 961 participants with available concomitant medication data， 3332（7.94%） received concomitant medications， and western medicines were the most commonly used concomitant medications （2819 cases， 6.72%）. The mean prescribed dosage of TCM formula granules （expressed as the equivalent dosage of crude herbal pieces） was （158.23±104.86） g in 2020， （131.70±65.84） g in 2021， （130.62±59.96） g in 2022， （86.74±50.61） g in 2023， （118.59±52.01） g in 2024， and （134.38±49.43） g in 2025. The five most frequently prescribed toxic herbs were Kuxingren （Semen Armeniacae Amarum， 2746 cases， 6.54%）， Xixin （Radix et Rhizoma Asari， 2193 cases， 5.22%）， processed Kuxingren （862 cases， 2.05%）， Baiqucai （Herba Chelidonii， 747 cases， 1.78%）， and Wuzhuyu （Fructus Evodiae， 645 cases， 1.54%）. Prescriptions involving incompatible combinations of the "eighteen antagonisms" and the "nineteen mutual inhibitions" were most frequently observed in 2020 （54 cases， 0.503%）， and then decreased markedly， remaining at zero or an extremely low level thereafter. The overall incidence of adverse drug reactions （ADRs） associated with TCM formula granules was 0.057% （24 cases）， indicating a rare occurrence. The annual incidence was 0.028% （3 cases） in 2020， 0 in both 2021 and 2022， 0.065% （5 cases） in 2023， 0.158% （15 cases） in 2024， and 0.226% （1 case） in 2025. Among the 24 patients who experienced ADRs， 15 had inappropriate medication use.Five of the 24 patients used toxic herbs， and all five had inappropriate medication. Multivariate logistic regression analysis showed that no history of drug-related adverse reactions ［OR=0.053， 95%CI（0.006， 0.465）］ and no concomitant medication ［OR=0.315， 95%CI（0.109， 0.911）］ were associated with a lower risk of ADRs. ConclusionTCM formula granules are widely used in clinical practice and exhibit a favorable overall safety. Greater attention should be paid to people with a history of drug-related adverse reactions and those receiving concomitant medications to further improve medication safety.

Objective To observe the clinical efficacy of Tongyuan acupuncture in the treatment of acute gouty arthritis.Methods A total of 126 cases of patients with definitive diagnosis of acute gouty arthritis admitted to the wards and outpatient clinics of Guangzhou Nansha District Hospital of Traditional Chinese Medicine from November 2023 to June 2024 were selected as the study subjects.The patients were randomly divided into observation group and control group according to the random number table method,with 63 cases in each group.The control group was given health training and conventional treatment,while the observation group was given Tongyuan acupuncture on the basis of treatment in the control group.Patients in both groups were treated for 14 consecutive days.After two weeks of treatment,the clinical efficacy of the two groups was evaluated.The changes in the clinical symptom scores,the Visual Analogue Scale(VAS)scores of pain,the levels of musculoskeletal ultrasonography(synovial proliferation,blood flow signals,and joint fluid)before and after the treatment were observed in patients of both groups.The changes of blood uric acid(UA),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),tumor necrosis factor α(TNF-α),and interleukin 1(IL-1)before and after treatment were compared between the two groups.Results(1)The total effective rate was 95.24%(60/63)in the observation group and 84.13%(53/63)in the control group.The efficacy of the observation group was superior to that of the control group,the difference being statistically significant(P<0.05).(2)After treatment,the clinical symptom scores and VAS scores of the patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(3)After treatment,the serum UA,ESR,and CRP levels of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(4)After treatment,the TNF-α and IL-1 levels of patients in the two groups were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(5)After treatment,the musculoskeletal ultrasound indicators of the two groups of patients were improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).Conclusion Tongyuan acupuncture in the treatment of acute gouty arthritis can significantly improve the clinical symptoms of patients,reduce the level of patients'blood UA and inflammatory factor.

Messenger ribonucleic acid (mRNA) is a promising therapeutic drug with great potential in the fields of immunology, oncology, vaccines and inborn metabolic diseases. However, due to its instability and susceptibility to nuclease degradation, efficient delivery vectors are required. Lipid nanoparticles (LNPs) are recognized as the most mature delivery vectors due to their advantages of easy formulation, high stability, efficient cell uptake and endosomal escape. However, the accumulation of LNPs in the liver severely limits the targeting and treatment of mRNA-LNP technology beyond the liver. To overcome this obstacle, researchers have been focusing on various means to achieve precise delivery of extrahepatic tissues and organs. This article mainly expounds the research progress of LNP-specific delivery mRNA from three aspects: endogenous targeting, active targeting and selection of administration route, in order to provide ideas and directions for the design of new mRNA-LNP delivery systems in the future.

Objective:To investigate the trends in detection, treatment, and outcomes of rifampicin-resistant tuberculosis (TB) in Jiangsu Province from 2013 to 2023, assess the effectiveness of control policies and measures for drug-resistant TB, and provide evidence for better control of drug-resistant TB.Methods:Data and indicators related to the screening, diagnosis, treatment, and outcomes of rifampicin-resistant TB in Jiangsu Province from 2013 to 2023 were obtained from the Tuberculosis Management Information System. The Joinpoint regression method was employed to analyze the trends over this period, and annual percent change (APC) and average annual percent change (AAPC) were calculated. A comparative analysis was also conducted to evaluate the changes before and after implementing relevant policies and measures.Results:From 2013 to 2023, the number of registered rifampicin-resistant TB patients in Jiangsu Province showed a consistent upward trend (APC=AAPC=1.45%, P=0.035). The screening rates for drug resistance among new TB patients in high-risk groups and the proportion of molecular biological testing for drug resistance all exhibited increasing trends, with a notable turning point occurring in 2018. The trend of the treatment enrollment rate for rifampicin-resistant TB patients experienced a significant shift in 2020, showing a marked increase from 2013 to 2020 (APC=12.91%, P=0.008). The treatment success rate of rifampicin-resistant TB patients also showed a significant upward trend after a turning point in 2020 (APC=9.94%, P=0.004). Conclusion:From 2013 to 2023, significant progress was seen in preventing and treating rifampicin-resistant TB in Jiangsu Province, with relevant policies and measures proving to be highly effective.

Sepsis poses a significant threat to hu-man health due to its widespread prevalence,high mortality rate,substantial treatment costs,and the absence of effective life-saving therapies.Melato-nin,a primary hormone regulating the circadian rhythm,has demonstrated potential as a promising therapeutic agent against sepsis.Its anti-inflamma-tory,antioxidant,immunomodulatory,mitochondri-al protective,and multi-organ protective effects are noteworthy.In this review,we summarize current research on the mechanisms of action and clinical efficacy of melatonin in sepsis treatment and multi-organ function preservation,aiming to offer new perspectives and support for sepsis research and therapy.