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.

BACKGROUND:Previous studies by the research group have shown that core proteoglycan in Cornus Cervi Col la can enter the bone,promote the proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells,and has a good repair effect on steroid-induced osteonecrosis of the femoral head.OBJECTIVE:To investigate the therapeutic effect and potential mechanism of Cornus Cervi Colla on steroid-induced osteonecrosis of the femoral head in rats by fecal non-targeted fecal metabolomics.METHODS:Thirty SD rats were randomly divided into three groups using a random number table method:the control group(n=10)was injected with normal saline into the right gluteal muscle(injected on the first 3 days of each week for 3 consecutive weeks),and was given pure water gavage(once a day for 6 consecutive weeks).The model group(n=10)was injected with methylprednisolone sodium succinate into the right gluteal muscle(injected on the first 3 days of each week for 3 consecutive weeks)to establish a steroid-induced osteonecrosis of the femoral head model,and was given pure water gavage(once a day for 6 consecutive weeks).The Cornus Cervi Co I la group(n=10)was also established with a steroid-induced osteonecrosis of the femoral head model,and was given Cornus Cervi Col la gavage(once a day for 6 consecutive weeks).After gavage,cecal feces and femoral heads were collected for fecal metabolomics analysis and bone tissue Micro-CT and hematoxylin-eosin staining,respectively.RESULTS AND CONCLUSION:(1)Metabolomics analysis results showed that there were 233 differential metabolites between the Cornus Cervi Col la and model groups,with 65 significantly differing and clearly annotated metabolites.Lipid and amino acid metabolites were significantly increased,with bile acids,sulfated steroids,ephedrine,hypoxanthine,betaine,L-carnitine,B-mouse bile acid,cytidine,4-pyridoxic acid,taurine,N-acetyl-d-glucosamine,and butyric acid being the most impacted(variable weight value VIP＞5).The metabolic pathways of taurine and hypotaurine were crucial in the metabolic regulatory network(pathway impact=0.428 57).(2)Micro-CT scanning results of bone tissue showed that the femoral heads of rats in the model group and the Cornus Cervi Col la group had different degrees of damage;the femoral head contour was irregular;the trabeculae in the subchondral bone of the femoral head were missing and disordered,and some cystic structures were visible.Compared with the model group,the degree of trabecular damage in the rats of the Cornus Cervi Colla group was milder.Hematoxylin-eosin staining results showed that the trabeculae in the subchondral bone of the femoral heads of rats in the model group and the Cornus Cervi Colla group were sparse or interrupted,and the empty bone lacuna rate and adipocyte invasion were increased.Compared with the model group,the empty bone lacuna rate and adipocyte invasion in the subchondral bone of the femoral heads of rats in the Cornus Cervi Colla group were reduced.(3)These results conclude that Cornus Cervi Colla potentially mitigates steroid-induced osteonecrosis of the femoral head through the metabolic processes involving taurine and associated pathways.

Objective To explore the characteristics of TCM syndromes in patients with obesity with metabolic associated fatty liver disease(MAFLD).Methods TCM Symptom Collection Form was developed to collect the clinical symptoms of obesity patients who attended the Department of Acupuncture and Moxibustion of Beijing Hospital of Traditional Chinese Medicine,Capital Medical University,from July to December of 2024.Factor analysis and clustering analysis were used to explore the distribution law of different syndrome elements and TCM syndromes.Results A total of 309 obese patients(221 with MAFLD)were included,with 20 symptoms with a frequency of≥5%.Factor analysis suggested that there was a significant difference between the two groups in the pathogenic syndrome elements of qi stagnation,yin deficiency,qi deficiency,hyperactivity of yang,yang deficiency,dampness,dynamic wind,and the locus of disease syndrome elements of the spleen and the heart spirit(P<0.05).Clustering analysis showed that the syndrome types of patients with MAFLD were mainly the syndrome of liver and stomach stagnation and heat,the syndrome of spleen deficiency and stomach heat,and the syndrome of spleen and kidney deficiency;the syndrome types of patients without MAFLD were mainly spleen-stomach qi stagnation,gastrointestinal excess-heat,spleen-deficiency-dampness obstruction,and spleen-kidney deficiency.Conclusion Patients of obesity with MAFLD are more likely to have the co-existence of the pathogenesis of damp-heat obstruction and spleen-kidney deficiency.

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.

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.