Malnutrition is a common complication in patients with liver disease， particularly in the advanced stage of disease， and it significantly affects the prognosis of patients. In 2025， the American College of Gastroenterology released Clinical Guideline： Malnutrition and Nutritional Recommendations in Liver Disease， which covers the definition， causes， nutritional assessment methods， and intervention strategies for malnutrition associated with liver disease， which provides evidence-based recommendations for nutritional management in liver disease. This article makes an excerpt of the recommendations and key concept statements from the guideline.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

OBJECTIVE To investigate the effects of renally inappropriate medication （RIM） on the frailty of elderly patients with diabetes. METHODS The data of elderly patients with diabetes mellitus admitted to a third-grade class A hospital in Yunnan province from January to December 2022 were collected， and Beers criteria （2019 edition） and Chinese version of FRAIL scale were used to evaluate RIM and the frailty of the patients； the patients were divided into the trial group （with RIM） and the control group （without RIM） according to whether there was RIM. The propensity score matching was used to balance confounding factors between two groups， and the influence of RIM on the frailty of elderly diabetic patients was analyzed by the Logistic regression model. RESULTS Among the 367 patients， 80 patients （21.80%） had RIM， the drugs involved RIM were spironolactone （82.56%）， rivaroxaban （13.95%） and gabapentin （3.49%）. After reaching the balance between groups using the propensity score matching method， the incidence of frailty was 77.94% in trial group and 27.94% in control group （P＜0.001）； the difference was not statistically significant in other confounding factors between the two groups （P＞0.05）. Results of Logistic regression analysis showed that the risk of frailty in the experimental group was 3.118 times that of the control group （odds ratio was 3.118，95% confidence interval was 1.758-5.530， P＜0.001）. CONCLUSIONS RIM is a risk factor for the frailty of elderly patients with diabetes， which can be considered as an indicator for early identification and screening of the frailty of elderly diabetes patients.

ObjectiveTo explore the syndrome elements and evolving patterns of patients with hepatitis B virus-related acute on chronic liver failure （HBV-ACLF） at different stages. MethodsClinical information of 1,058 hospitalized HBV-ACLF patients， including 618 in the early stage， 355 in the middle stage， and 85 in the late stage， were collected from 18 clinical centers across 12 regions nationwide from January 1， 2012 to February 28， 2015. The “Hepatitis B-related Chronic and Acute Liver Failure Chinese Medicine Clinical Questionnaire” were designed to investigate the basic information of the patients， like the four diagnostic information （including symptoms， tongue， pulse） of traditional Chinese medicine （TCM）， and to count the frequency of the appearance of the four diagnostic information. Factor analysis and cluster analysis were employed to determine and statistically analyze the syndrome elements and patterns of HBV-ACLF patients at different stages. ResultsThere were 76 four diagnostic information from 1058 HBV-ACLF patients， and 53 four diagnostic information with a frequency of occurrence ≥ 5% were used as factor analysis entries， including 36 symptom information， 12 tongue information， and 5 pulse information. Four types of TCM patterns were identified in HBV-ACLF， which were liver-gallbladder damp-heat pattern， qi deficiency and blood stasis pattern， liver-kidney yin deficiency pattern， and spleen-kidney yang-deficiency pattern. In the early stage， heat （39.4%， 359/912） and dampness （27.5%， 251/912） were most common， and the pattern of the disease was dominated by liver-gallbladder damp-heat pattern （74.6%， 461/618）； in the middle stage， dampness （30.2%， 187/619） and blood stasis （20.7%， 128/619） were most common， and the patterns of the disease were dominated by liver-gallbladder damp-heat pattern （53.2%， 189/355）， and qi deficiency and blood stasis pattern （27.6%， 98/355）； and in the late stage， the pattern of the disease was dominated by qi deficiency （26.3%， 40/152） and yin deficiency （20.4%， 31/152）， and the patterns were dominated by qi deficiency and blood stasis pattern （36.5%， 31/85）， and liver-gallbladder damp-heat pattern （25.9%， 22/85）. ConclusionThere are significant differences in the distribution of syndrome elements and patterns at different stages of HBV-ACLF， presenting an overall trend of evolving patterns as "from excess to deficiency， transforming from excess to deficiency"， which is damp-heat → blood stasis → qi-blood yin-yang deficiency.

Chimeric antigen receptor (CAR)-T cell therapy has achieved remarkable success in the treatment of hematological malignancies. Based on the immunomodulatory capability of CAR-T cells, efforts have turned toward exploring their potential in treating autoimmune diseases. Bibliometric analysis of 210 records from 128 academic journals published by 372 institutions in 40 countries/regions indicates a growing number of publications on CAR-T therapy for autoimmune diseases, covering a range of subtypes such as systemic lupus erythematosus, multiple sclerosis, among others. CAR-T therapy holds promise in mitigating several shortcomings, including the indiscriminate suppression of the immune system by traditional immunosuppressants, and non-sustaining therapeutic levels of monoclonal antibodies due to inherent pharmacokinetic constraints. By persisting and proliferating in vivo, CAR-T cells can offer a tailored and precise therapeutics. This paper reviewed preclinical experiments and clinical trials involving CAR-T and CAR-related therapies in various autoimmune diseases, incorporating innovations well-studied in the field of hematological tumors, aiming to explore a safe and effective therapeutic option for relapsed/refractory autoimmune diseases.

"Biochemical Engineering Experiment" is a compulsory curriculum for the concentrated practical teaching of biotechnology majors in Hunan University of Science and Engineering. It is also an experimental curriculum for improving the overall quality of bioengineering students under the context of "Emerging Engineering Education". The course includes comprehensive experiments and designable experiments, and the contents of which are designed by combining the local characteristic resources of Yongzhou, the research platform and the characteristics of the talents with engineering background. In the teaching practice, methods such as heuristic teaching, research cases-embedded teaching and interactive teaching are comprehensively used to boost students' interest in learning and stimulate their innovative thinking and application capability. Through curriculum examination and post-class investigation, it was found that the students' abilities of knowledge transfer and application were significantly improved, and they achieved excellent performances in discipline competitions and approved project proposals. The practice and continuous improvement of this course may facilitate fostering high-level innovative and application-oriented talents of biotechnology majors.
Humans ; Curriculum ; Students ; Learning ; Bioengineering ; Biomedical Engineering

Heart failure is the leading cause of death worldwide. Compound Danshen Dripping Pill (CDDP) or CDDP combined with simvastatin has been widely used to treat patients with myocardial infarction and other cardiovascular diseases in China. However, the effect of CDDP on hypercholesterolemia/atherosclerosis-induced heart failure is unknown. We constructed a new model of heart failure induced by hypercholesterolemia/atherosclerosis in apolipoprotein E (ApoE) and LDL receptor (LDLR) dual deficient (ApoE^-/-LDLR^-/-) mice and investigated the effect of CDDP or CDDP plus a low dose of simvastatin on the heart failure. CDDP or CDDP plus a low dose of simvastatin inhibited heart injury by multiple actions including anti-myocardial dysfunction and anti-fibrosis. Mechanistically, both Wnt and lysine-specific demethylase 4A (KDM4A) pathways were significantly activated in mice with heart injury. Conversely, CDDP or CDDP plus a low dose of simvastatin inhibited Wnt pathway by markedly up-regulating expression of Wnt inhibitors. While the anti-inflammation and anti-oxidative stress by CDDP were achieved by inhibiting KDM4A expression and activity. In addition, CDDP attenuated simvastatin-induced myolysis in skeletal muscle. Taken together, our study suggests that CDDP or CDDP plus a low dose of simvastatin can be an effective therapy to reduce hypercholesterolemia/atherosclerosis-induced heart failure.

Objective To investigate the intervention effect of Xuanfuhua decoction on mice with nonalcoholic steatohepatitis (NASH) induced by high-fat, high-fructose, and high-cholesterol diet. Methods A total of 32 male C57/BL6J mice were randomly divided into normal group, model group, Xuanfuhua decoction group, and obeticholic acid group, with 8 mice in each group. Since week 24 of modeling using high-fat, high-fructose, and high-cholesterol diet, each group was given the corresponding drug for intervention at a dose of 14.19 g/kg by gavage for the Xuanfuhua decoction group and 10 mg/kg by gavage for the obeticholic acid group and a volume of 20 mL/kg for gavage, once a day for 6 consecutive weeks. HE staining, oil red O staining, Sirius Red staining, and Masson staining were used to observe the pathological changes, lipid deposition, and collagen deposition of liver tissue; related kits were used to measure the serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and glucose, as well as the content of TG and hydroxyproline (Hyp) in liver tissue; quantitative real-time PCR was used to measure the expression of genes associated with lipid metabolism, inflammation, and fibrosis in liver tissue; immunohistochemical staining was used to observe the positive expression of F4/80 and α-SMA in liver tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t -test was used for further comparison between two groups. Results Compared with the normal group, the model group had significant increases in body weight, liver wet weight, and serum levels of AST, ALT, TC, TG, LDL-C and glucose (all P < 0.01). HE staining showed hepatocyte steatosis, a large number of fat vacuoles, hepatocyte ballooning degeneration, and inflammatory cell infiltration in liver tissue of the mice in the model group, and the model group had a significant increase in NAFLD activity score (NAS) compared with the normal group ( P < 0.01). Oil red O staining showed the deposition of a large number of red lipid droplets with different sizes in hepatocytes of the mice in the model group, and compared with the normal group, the model group had significant increases in the area percentage of oil red O staining and the content of TG in the liver ( P < 0.01). Sirius Red staining and Masson staining showed significant collagen fiber hyperplasia in the perisinusoidal area, the central vein, and the portal area in the model group, and the model group had a significant increase in the content of Hyp in liver tissue compared with the normal group ( P < 0.05). Compared with the model group, the Xuanfuhua decoction group had significant reductions in the serum levels of AST, ALT, TC, TG, LDL-C, and glucose (all P < 0.05), significant improvements in hepatic steatosis, inflammatory infiltration, lipid droplet deposition, and collagen fiber hyperplasia, and significant reductions in NAS score, area percentage of oil red O staining, and content of TG and Hyp in the liver (all P < 0.05). Compared with the normal group, the model group had significant increases in the mRNA expression levels of lipid metabolism-related genes (SREBP-1c, FASN, SCD-1, PPAR-γ, and CD36), inflammation-related genes (F4/80, TNF-α, CCL2, and CD11b), and the fibrosis-related gene α-SMA (all P < 0.05), and immunohistochemical staining showed significant increases in the positive expression of F4/80 and α-SMA ( P < 0.01). Compared with the model group, the Xuanfuhua decoction group had significant reductions in the mRNA expression levels of SREBP-1c, FASN, SCD-1, PPAR-γ, CD36, F4/80, TNF-α, CCL2, CD11b, and α-SMA in liver tissue (all P < 0.05), and immunohistochemical staining showed significant reductions in the positive expression of F4/80 and α-SMA ( P < 0.01). Conclusion Xuanfuhua decoction has a good intervention effect on mice with NASH induced by high fat, high fructose, and high-cholesterol diet and can significantly inhibit hepatic lipid deposition, inflammatory response, and liver fibrosis.

Objective:To explore the classification performance of combined model constructed from CT signs combined with radiomics for discriminating COVID-19 pneumonia and other viral pneumonia.Methods:The clinical and CT imaging data of 181 patients with viral pneumonia confirmed by reverse transcription-polymerase chain reaction in 15 hospitals of Yunnan Province from March 2015 to March 2020 were analyzed retrospectively. The 181 patients were divided into COVID-19 group (89 cases) and non-COVID-19 group (92 cases), which were further divided into training cohort (126 cases) and test cohort (55 cases) at a ratio of 7∶3 using random stratified sampling. The CT signs of pneumonia were determined and the radiomics features were extracted from the initial unenhanced chest CT images to build independent and combined models for predicting COVID-19 pneumonia. The diagnostic performance of the models were evaluated using receiver operating characteristic (ROC) analysis, continuous net reclassification index (NRI) calibration curve and decision curve analysis.Results:The combined models consisted of 3 significant CT signs and 14 selected radiomics features. For the radiomics model alone, the area under the ROC curve (AUC) were 0.904 (sensitivity was 85.5%, specificity was 84.4%, accuracy was 84.9%) in the training cohort and 0.866 (sensitivity was 77.8%, specificity was 78.6%, accuracy 78.2%) in the test cohort. After combining CT signs and radiomics features, AUC of the combined model for the training cohort was 0.956 (sensitivity was 91.9%, specificity was 85.9%, accuracy was 88.9%), while that for the test cohort was 0.943 (sensitivity was 88.9%, specificity was 85.7%, accuracy was 87.3%). The AUC values of the combined model and the radiomics model in the differentiation of COVID-19 group and the non-COVID-19 group were significantly different in the training cohort ( Z=-2.43, P=0.015), but difference had no statistical significance in the test cohort ( Z=-1.73, P=0.083), and further analysis using the NRI showed that the combined model in both the training cohort and the test cohort had a positive improvement ability compared with radiomics model alone (training cohort: continuous NRI 1.077, 95 %CI 0.783-1.370; test cohort: continuous NRI 1.421, 95 %CI 1.051-1.790). The calibration curve showed that the prediction probability of COVID-19 predicted by the combined model was in good agreement with the observed value in the training and test cohorts; the decision curve showed that a net benefit greater than 0.6 could be obtained when the threshold probability of the combined model was 0-0.75. Conclusion:The combination of CT signs and radiomics might be a potential method for distinguishing COVID-19 and other viral pneumonia with good performance.