ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

Objective To analyze the influencing factors of symptom clusters during chemoradio-therapy in patients with cervical cancer.Methods A retrospective analysis was conducted on the clini-cal data of 776 patients diagnosed with cervical cancer during chemoradiotherapy.The M.D.Anderson Symptom Inventory(MDASI-D)was used to assess common symptoms and their severity in cancer pa-tients.Exploratory factor analysis was employed to extract symptom clusters.Univariate and multiple linear regression analyses were performed to screen for influencing factors of the major symptom clus-ters.Results Among 776 cervical cancer patients undergoing chemoradiotherapy,the five most prevalentsymptoms were fatigue,nausea,dry mouth,disturbed sleep and vomiting.Through explora-tory factor analysis,a total of four symptom clusters,namely the digestive tract symptom cluster,the somatic symptom cluster,the side effect symptom cluster and the emotional symptom cluster were ex-tracted.Multiple linear regression analysis revealed that age and Eastern Cooperative Oncology Group(ECOG)score were influencing factors for gastrointestinal symptom cluster(P＜0.05);age,educa-tional level,disease stage and ECOG performance status were influencing factors for physical symptom cluster(P＜0.05);age,educational level,monthly household income per capita,ECOG performance status and disease stage were influencing factors for the emotional symptom cluster(P＜0.05);the ECOG performance status,disease stage and comorbid chronic diseases were influencing factors for the side effect symptom cluster(P＜0.05).Conclusion Patients with cervical cancer frequently experi-ence gastrointestinal,emotional,physical and side effect symptom clusters during chemoradiotherapy.

Objective: To determine the expression of melanoma-associated antigens D4(MAGED4) and SIRT7 in human glioma, and to analyze the potential effects of MAGED4 and SIRT7 on glioma cell proliferation. Methods: The MAGED4 and SIRT7 expression levels and their correlation were compared by the China glioma genome atlas(CGGA), human protein atlas(HPA), and UALCAN databases. Survival analysis, ROC curve analysis, and Cox regression analysis were used to predict the outcome of MAGED4 and SIRT 7 in glioma patients. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) signaling pathway enrichment analysis were used to explore the biological functions of MAGED4 and SIRT7 in glioma. Western blot experiment was used to investigate whether MAGED4 protein exerted its regulatory effects on the activity of the PI3K/AKT signaling pathway via SIRT7. The effect of MAGED4 on cell proliferation in glioma through SIRT7 was explored by CCK-8. Results: The analysis results of CGGA, UALCAN, and HPA databases showed that the expression levels of MAGED4 and SIRT7 in glioma tissues were higher than those in normal brain tissue, and the expression were positively correlated. Results of survival, ROC, and Cox analysis showed that high expression of MAGED4 and SIRT7 mRNA were risk factors for poor prognosis in glioma. Results of KEGG enrichment analysis showed that MAGED4 and SIRT7 were associated with the PI3K/AKT signaling in glioma, and Western blot results showed that MAGED4 activated the PI3K/AKT signaling pathway by regulating SIRT7. The CCK-8 results showed that MAGED4 promotes the proliferation of glioma cells through SIRT7. Conclusion MAGED4 and SIRT7 are highly expressed in glioma and associated with poor prognosis, and MAGED4 promotes glioma cell proliferation through activation of the PI3K/AKT signaling pathway by SIRT7.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Objective To investigate the biological functions of the ERG3 gene in Candida albicans and its potential value in antifungal therapy. Methods The ERG3 null mutant was constructed by the CRISPR/Cas9 technology. Gas chromatography-mass spectrometry, microbroth dilution method, hyphal induction and mouse systemic infection models were carried out to evaluate sterol metabolism, drug susceptibility, hyphal formation ability and pathogenicity in C. albicans. Results The disruption of the ERG3 gene led to disordered sterol metabolism in C. albicans with a significant increased level of episterol, 14α-methylfecosterol and ergosta-7,22-dienol. The ERG3 null mutant exhibited significantly reduced susceptibility to antifungal azole and polyene drugs, which suggested that ERG3 involve in regulating drug resistance. Although the disruption of ERG3 inhibited hyphal growth and biofilm formation, it did not significantly alter the pathogenicity of the strain in a mouse model of systemic fungal infection. Conclusion The ERG3 gene was a key regulator in the ergosterol synthesis pathway in C. albicans. Its deletion induced multi-drug resistance by reshaping sterol metabolism, while pathogenicity maintenance depended on compensatory mechanisms. This study provided critical insights for developing antifungal drugs targeting sterol metabolism and overcoming drug resistance.

Aim To systematically investigate the ac-tive components,targets,and regulatory pathways of Po-lygonum capitatum in intervening atherosclerosis(AS)through network pharmacology,molecular docking and animal experiments.Methods Active components of Polygonum capitatum and AS-related targets were screened and identified through database searches.Protein-protein interaction(PPI)network analysis was performed using the STRING database,followed by GO and KEGG enrichment analyses via the David plat-form.Molecular docking validation was conducted with AutoDock.An AS model was established in Syrian golden hamsters fed a high-fat diet.Predicted pathways and targets were validated using qPCR,ELISA,and histopathological assessment of aortic and hepatic tis-sues via HE staining.Results Network pharmacology identified 27 potential active components of Polygonum capitatum(primarily flavonoids such as quercetin and luteolin)and 110 drug-disease intersection targets,in-cluding core targets MMP-9,ALB,and AKT1.GO and KEGG analyses enriched 593 and 125 pathways,re-spectively,with the NF-κB inflammatory pathway,TNF signaling pathway and lipid metabolism/atherosclerosis pathways highlighted as key mechanisms.Animal ex-periments demonstrated that Polygonum capitatum im-proved serum lipid profiles(reduced TC,TG,LDL-C)in AS hamsters,suppressed the MMP-9/NF-κB signa-ling pathway(downregulated MMP-9,p65 phosphoryla-tion,TNF-α,and IL-6),and inhibited VSMC synthetic phenotypic transformation(upregulated α-SMA and myocardin)by downregulating MCPIP1.Additionally,Polygonum capitatum ameliorated aortic lesions and he-patic lipid deposition in AS hamsters.Conclusions Polygonum capitatum alleviates AS by synergistically regulating the MMP-9/NF-κB/MCPIP1 axis through flavonoid components,suppressing vascular inflammato-ry cascades and maintaining VSMC contractile pheno-types.This reflects Polygonum capitatum's multi-com-ponent,multi-pathway,and multi-target characteristics in combating AS.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Objective:To construct a key item checklist for the Mini-HTA report specification,providing scientific guidance for drafting each section of Mini-HTA research reports,enhancing their standardization,scientific rigor,and completeness,thereby improving the efficiency and quality of health decision-making.Methods:Based on preliminary literature review and qualitative systematic review,a pool of problem items for the Mini-HTA report specification was formed.Delphi questionnaires were distributed,and the Delphi technique was employed through two rounds of expert consultation to optimize and select key items.Results:Through two rounds of Delphi expert consultation,the initial Mini-HTA report specification item checklist was screened,integrated,and supplemented.A finalized key item checklist was constructed,comprising 8 first-level items(Title,Abstract,Introduction,Methods,Results,Discussion,Conclusion,and Other Relevant Information)and 48 second-level items.Conclusion:The constructed key item checklist for the Mini-HTA report specification provides scientific guidance for drafting Mini-HTA research reports.It helps enhance the standardization and transparency of the assessment process and the reliability of results,thereby optimizing the efficiency and quality of health decision-making.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]