Objective:To investigate the clinical characteristics of patients with hepatitis B virus（HBV）-related primary hepatocellular carcinoma（HCC）who were treated in a multidisciplinary team（MDT）for liver cancer，so as to provide a basis for clinical optimization of the diagnosis and treatment of patients with chronic hepatitis B（CHB）.Methods:A retrospective analysis was performed for 482 HBV-related HCC patients who were treated with HCC-MDT every Thursday afternoon in The First Affiliated Hospital of the Army Medical University from January 2022 to May 2024，aged 18-87（55.54±10.84）years，86.93%（419/482）males and 13.07%（63/482）females. According to the different underlying liver diseases at the time of initial medical treatment and the different prognostic outcomes at the later follow-up，the differences in clinical characteristics between groups under different conditions were compared and analyzed，and the influencing factors of HCC prognosis were understood by Logistic regression analysis. Results:At the time of MDT presentation，the differences in HBeAg status（ χ2=6.311 ，P=0.043），γ-glutamyl traspeptidase（GGT）（ Z=6.277， P=0.043），alkaline phosphatase（ALP）（ Z=7.236 ，P=0.027），and model for end-stage liver disease（MELD）scores（ Z=6.111， P=0.047）among patients with different underlying liver diseases were statistically significant. At follow-up，6.75%（11/163）of HBV-related HCC patients who presented to MDT had a family history of HCC，and their cumulative mortality rate was as high as 60.8%（205/337）at least for 1 year. Mulitivariate Logistic regression analysis showed that different underlying liver disease at the time of initial medical treatment，HBV DNA replication level，MELD score and choice of anti-cancer treatment regimen were the influencing factors for the prognosis of HCC（all P<0.05）. The worse the degree of cirrhosis at the initial presentation，the higher the level of HBV DNA replication，and the higher the MELD score，the worse the prognosis for HCC. Conclusion:Advancing the diagnosis and treatment of CHB，maximizing the inhibition of HBV DNA replication，reducing the MELD score，and optimizing the anti-cancer treatment regimen can reduce the mortality rate of HBV-related HCC.

With the in-depth implementation of the national strategy of"Healthy China 2030",people's understanding and de-mand for health have been constantly evolving,promoting the transformation of the health model from"disease-centered"to"people-centered".This paper discusses the characteristics and limitations of the"disease-centered"health model,proposes the connotation of the"people-centered"health model and the method of maintaining health in traditional Chinese medicine,emphasizes overall health with prevention as the main focus and individual as the center,and specifically discusses the implementation measures of the"people-centered"health model:emphasize the transformation of ideas and concepts,give full play to the advantages of modern traditional Chi-nese medicine,and establish a system network of health models.It is also related to the transformation of the active health paradigm,in order to break through the limitations of the existing health model and achieve the goal of health for all.

Computational modeling is an invaluable tool for mechanism analysis, directed engineering, and rational design of biological parts, metabolic networks, and even cellular systems. It can provide new technological solutions to address biological challenges at different levels and has become a central focus of research in biomanufacturing. In the computational modeling of proteins, which are the key parts in biological systems, the traditional physics-based methods (computer software and mathematical model) have been widely used to study the physical and chemical processes in the functioning of proteins, and have thus been recognized as a powerful tool for understanding complex biological systems and guiding experimental designs. As the scale of computational modeling continues to expand, traditional modeling techniques face difficulties in balancing computational accuracy and speed. In recent years, the explosive growth of biological data has made it possible to construct high-performance artificial intelligence (AI) models, which brings new opportunities to the computational modeling of proteins, and the AI-enhanced physics-based computational modeling technologies have emerged. This combined strategy not only incorporates the chemical knowledge and established physical principles but also is powerful in data processing and pattern recognition, which greatly improves the computational efficiency and prediction accuracy, as well as possesses stronger interpretation ability, transferability, and robustness. The AI-enhanced physics-based computational modeling technologies have already shown great potential and value in biocatalysis, paving a new way for the future development of biomanufacturing.
Artificial Intelligence ; Proteins/chemistry* ; Computer Simulation ; Software ; Computational Biology/methods*

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 clinical characteristics of patients with hepatitis B virus（HBV）-related primary hepatocellular carcinoma（HCC）who were treated in a multidisciplinary team（MDT）for liver cancer，so as to provide a basis for clinical optimization of the diagnosis and treatment of patients with chronic hepatitis B（CHB）.Methods:A retrospective analysis was performed for 482 HBV-related HCC patients who were treated with HCC-MDT every Thursday afternoon in The First Affiliated Hospital of the Army Medical University from January 2022 to May 2024，aged 18-87（55.54±10.84）years，86.93%（419/482）males and 13.07%（63/482）females. According to the different underlying liver diseases at the time of initial medical treatment and the different prognostic outcomes at the later follow-up，the differences in clinical characteristics between groups under different conditions were compared and analyzed，and the influencing factors of HCC prognosis were understood by Logistic regression analysis. Results:At the time of MDT presentation，the differences in HBeAg status（ χ2=6.311 ，P=0.043），γ-glutamyl traspeptidase（GGT）（ Z=6.277， P=0.043），alkaline phosphatase（ALP）（ Z=7.236 ，P=0.027），and model for end-stage liver disease（MELD）scores（ Z=6.111， P=0.047）among patients with different underlying liver diseases were statistically significant. At follow-up，6.75%（11/163）of HBV-related HCC patients who presented to MDT had a family history of HCC，and their cumulative mortality rate was as high as 60.8%（205/337）at least for 1 year. Mulitivariate Logistic regression analysis showed that different underlying liver disease at the time of initial medical treatment，HBV DNA replication level，MELD score and choice of anti-cancer treatment regimen were the influencing factors for the prognosis of HCC（all P<0.05）. The worse the degree of cirrhosis at the initial presentation，the higher the level of HBV DNA replication，and the higher the MELD score，the worse the prognosis for HCC. Conclusion:Advancing the diagnosis and treatment of CHB，maximizing the inhibition of HBV DNA replication，reducing the MELD score，and optimizing the anti-cancer treatment regimen can reduce the mortality rate of HBV-related HCC.

The expert consensus on the clinical treatment of herpes zoster with fire needling was developed, and the commonly used fire needling treatment scheme verified by clinical research was selected to form a standardized diagnosis and treatment scheme for acute herpes zoster and postherpetic neuralgia (PHN), so as to answer the core problems in clinical application. The consensus focuses on patients with herpes zoster, and forms recommendations for 9 key clinical issues, covering simple fire needling and TCM comprehensive therapy based on fire needling, including fire needling combined with cupping, fire needling combined with Chinese herb, fire needling combined with cupping and Chinese herb, fire needling combined with filiform needling, fire needling combined with moxibustion, and provides specific recommendations and operational guidelines for various therapies.
Humans ; Herpes Zoster/therapy* ; Acupuncture Therapy/instrumentation* ; Consensus ; Clinical Protocols

With the in-depth implementation of the national strategy of"Healthy China 2030",people's understanding and de-mand for health have been constantly evolving,promoting the transformation of the health model from"disease-centered"to"people-centered".This paper discusses the characteristics and limitations of the"disease-centered"health model,proposes the connotation of the"people-centered"health model and the method of maintaining health in traditional Chinese medicine,emphasizes overall health with prevention as the main focus and individual as the center,and specifically discusses the implementation measures of the"people-centered"health model:emphasize the transformation of ideas and concepts,give full play to the advantages of modern traditional Chi-nese medicine,and establish a system network of health models.It is also related to the transformation of the active health paradigm,in order to break through the limitations of the existing health model and achieve the goal of health for all.

Objective To explore the value of apparent diffusion coefficient(ADC)values of magnetic resonance diffusion weighted imaging(MR-DWI)in predicting the prognosis of primary hepatocellular carcinoma(HCC)treated by radiofrequency ablation(RFA).Methods A prospective study was conducted on 178 patients with HCC.All patients were treated with RFA and followed up for 1 year after treatment.MR-DWI was performed before RFA and one month after RFA,and the changes in ADC value were calculated.These changes of the cancer in patients with different clinicopathological parameters were compared.The factors affecting the prognosis of HCC patients with RFA,and the value of ADC value changes in predicting the prognosis were analyzed.Results The changes of ADC values in patients with high alpha-fetoprotein,Barcelona clinic live cancer(BCLC)stage C,and poorly differentiated were lower than those in patients with low alpha-fetoprotein,BCLC stage B,and moderately well-differentiated(P<0.05).Six cases were lost to follow-up,and 120 of the remaining 172 patients survived.Cox regression analysis showed that the changes in ADC value,tumor stage and degree of differentiation were independent factors affecting the prognosis of HCC patients with RFA(P<0.05).Receiver operating characteristic(ROC)curve results showed that the best cut-off point,sensitivity,specificity and area under the curve(AUC)of ADC value change in predicting the prognosis of HCC patients with RFA were 0.42×10-3 mm2/s,75.00%,78.33%and 0.801.There were 16 deaths in the high change group of ADC value(>0.42)and 36 deaths in the low change group(≤0.42).The overall survival curve of the high change group of ADC value was better than that of the low change group(P<0.05).Conclusion The change in ADC value of MR-DWI sequence before and after short-term RFA treatment in HCC patients is related to the patient's pathology and prognosis,with a good predictive effect.The low change in ADC value has a higher risk of poor prognosis.

Objective To investigate the role of member septin family(SEPT12)in human spermatogenesis and its influence on sperm motility and sperm ultrastructure.Methods Whole exome sequencing(WES)was performed on peripheral blood DNA extracted from 375 patients with asthenoteratozoospermia,and a patient with idiopathic in-fertility carrying compound heterozygous mutation of SEPT12 was screened out.Sanger sequencing was performed to verify the mutation,and co-segregation analysis was performed in the family.The morphological abnormalities of sperm were analyzed by hematoxylin-eosin(HE)staining and scanning electron microscopy(SEM),and the ultra-structural defects of sperm were analyzed by transmission electron microscopy(TEM).Then the effects of the muta-tion on the level and position of the protein and the changes of the location and level of the defect structure markers were analyzed by Western blot and immune-fluorescence(IF).Results The compound heterozygous mutations c.C332A(p.Ti111K)and c.406_416 del TGCTCGTATTG(p.q136 VFS*39)in the SEPT12 gene were screened and identified in a patient with asthenoteratozoospermia.The mutations were verified by Sanger sequencing,which was consistent with the co-segregation genetic pattern of the family.The mutations resulted in loss of protein expres-sion,decreased sperm motility and sperm morphological deformities,mainly including short tail,curly tail and ir-regular sperm head.The ultrastructure of sperm showed that the annulus between the mid-piece and the principle-piece was missing,the acrosome membrane of sperm head fell off and the nucleus contained vacuoles.In the mid-piece of sperm flagella,the arrangement of mitochondrial sheath was disordered,most of flagella axoneme central pair was absent,microtubules doublet was missing or disordered,and some radical spoke was absent.By Western blot and IF,the marker proteins of related structural components were detected,and the results showed that the level of SEPT4 protein decreased,SEPT6 protein unchanged,acrosomal related proteins ACTL7A and ACROSIN protein missing,and the expression levels of mitochondrial and axoneme related proteins TOMM20,SPAG6 and RSPH3 protein significantly decreased.Conclusion The deletion of SEPT12 protein caused by SEPT12 gene mu-tation leads to the deletion of the annulus between the mid-piece and the principle-piece,and the abnormal assem-bly of sperm acrosome,mitochondrial sheath and flagella.

Restless legs syndrome (RLS) is a common sensorimotor disorder. Although it does not pose a threat to life, it seriously affects the quality of life of patients. RLS pathogenesis is still unclear, and its incidence is associated with a variety of risk factors, including genetic factors and non-genetic factors. Genetic factors involve more than 20 risk genes, such as meis homeobox 1 ( MEIS1), BTB domain containing 9 ( BTBD9), mitogen-activated protein kinase kinase 5 ( MAP2K5), and protein tyrosine phosphatase receptor type Db ( PTPRD). Non-genetic factors include regional age, gender, obesity, medical related diseases, neuropsychiatric diseases and drugs. This paper reviews the recent advance in risk factors and related pathogenesis of RLS to provide references for early prevention and treatment of the disease.