Understanding the metabolism of endogenous and exogenous substances in the human body is essential for elucidating disease mechanisms and evaluating the safety and efficacy of drug candidates during the drug development process.Recent advancements in artificial intelligence(AI),particularly in machine learning(ML)and deep learning(DL)techniques,have introduced innovative approaches to metabolism research,enabling more accurate predictions and insights.This paper emphasizes computational and AI-driven methodologies,highlighting how ML enhances predictive modeling for human metabolism at the molecular level and facilitates integration into genome-scale metabolic models(GEMs)at the omics level.Challenges still remain,including data heterogeneity and model interpretability.This work aims to provide valuable insights and references for researchers in drug discovery and development,ultimately contributing to the advancement of precision medicine.

Neurodegenerative disorders(NDDs)are prevalent chronic conditions characterized by progressive synaptic loss and pathological protein alterations.Increasing evidence suggested that mitochondrial quality control(MQC)serves as the key cellular process responsible for clearing misfolded proteins and impaired mitochondria.Herein,we provided a comprehensive analysis of the mechanisms through which MQC mediates the onset and progression of NDDs,emphasizing mitochondrial dynamic stability,the clearance of damaged mitochondria,and the generation of new mitochondria.In addition,traditional Chinese medicines(TCMs)and their active monomers targeting MQC in NDD treatment have been demonstrated.Consequently,we compiled the TCMs that show great potential in the treatment of NDDs by targeting MQC,aiming to offer novel insights and a scientific foundation for the use of MQC stabilizers in NDD prevention and treatment.

This study aims to evaluate the preventive effect of the exogenous protein chIFN-γ-chCD154 against Salmonella typhimurium(S.typhimurium)infection in White Leghorn chick-ens,and the potential mechanism.In this study,Escherichia coli was used to express the proteins chIFN-γ,chCD154 and chIFN-γ-chCD154.Before S.typhimurium infection,the White Leghorn chickens were pre-immunized via drinking water for three consecutive days,and infected with S.typhimurium by gavage.The results from Western blot,quantitative real-time PCR(qRT-PCR)analysis and histopathology analysis showed that compared to chIFN-γ and chCD154,chIFN-γ-chCD154 pre-treatment could synergistically increase the survival rate of infected chickens,reduce the bacterial load in the liver and cecum,and attenuate the pathological damage of liver and cecum.Moreover,chIFN-γ-chCD154 significantly decreased the mRNA expression of Toll-like receptor-4(TLR-4)and myeloid differentiation primary response gene 88(MyD88)in the cecum,and then inhibited the mRNA expression of NF-κB and pro-inflammatory cytokines(TNF-α and IL-6),and maintained the integrity of the intestinal tight junction proteins(zo-1,claudin-1,occlu-din).Compared with single protein pretreatment,chIFN-γ-chCD154 pretreatment significantly up-regulated the mRNA expression of the genes related to the vitamin D(VD)pathway(cyp27b1,VD receptor VDR,antimicrobial peptide AvBD7 and cathelicidin-b1)in S.typhimurium-infected peripheral blood mononuclear cells(PBMCs).The results of colony counting showed that the num-ber of S.typhimurium in the chIFN-γ-chCD154 group were the lowest.Also,chIFN-γ-chCD154 could up-regulate the relative abundance of beneficial bacteria such as Blautia,Ruminococcus,En-terococcus and Faecalibacterium,while down-regulate the relative abundance of harmful bacteria such as Staphylococcaceae in the cecum and improve the intestinal dysbiosis.In conclusion,chIFN-γ-chCD154 could activate the VD-antimicrobial peptide pathway and inhibit the TLR-4/MyD88/NF-κB inflammatory signaling pathway in S.typhimurium-infected chickens,which significantly improve the intestinal barrier function,reduce the inflammatory damage of liver and cecum,im-prove the structure of cecum microbial,promote the health of intestinal tract,and provide theoreti-cal basis for the development of chIFN-γ-chCD154 as a safe and effective alternative antibiotic.

Primary liver cancer is one of the most common causes of cancer-related deaths in China,with hepatocellular carcinoma(HCC)accounting for 75%-85%.Approximately 70%of HCC patients are in the advanced stage at the time of diagnosis and miss the opportunity for radical surgery,leading to a poor prognosis.Yttrium-90 microsphere selective internal radiation therapy(90Y-SIRT),an emerging therapeutic modality,delivers radioactive microspheres via the hepatic artery to target tumors and uses beta radiation for localized tumor ablation.Compared to conventional transarterial chemoembolization and pharmacotherapy,90Y-SIRT shows the advan-tages of significant clinical benefits,good safety profiles,and broad applicability across diverse patient populations.This article re-views the advances in the application of 90Y-SIRT in HCC treatment.

Primary liver cancer is a malignant tumor with high incidence and mortality rates worldwide,and the early diagnosis of pri-mary liver cancer and the optimization of precise treatment strategies have become critical issues in the healthcare field.Due to the in-sufficient capabilities for molecular characterization,it is increasingly difficult for traditional imaging techniques to meet clinical needs in the era of precision medicine.Multimodal molecular imaging technology integrates the advantages of imaging modalities such as ul-trasound imaging,magnetic resonance imaging,and optical imaging,thereby achieving synergistic enhancement between molecular bio-logical information of liver cancer and precise anatomical localization and demonstrating a significant value in the diagnosis and treat-ment of liver cancer.This article reviews the advances in the application of multimodal molecular imaging in the early diagnosis,pre-cise treatment,and therapeutic efficacy monitoring of liver cancer.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.

Objective:To evaluate the advantages and short-term clinical effects of totally robotic Nissen 360° fundoplication compared with laparoscopic surgery.Methods:A retrospective analysis was conducted on data of 110 patients undergoing Nissen 360° fundoplication at the Second Department of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University from Aug 2023 to Aug 2024. Among them, 50 cases underwent totally robotic fundoplication, and 60 cases underwent laparoscopic fundoplication. By comparing and analyzing the fatigue level of the primary surgeon during the operations, postoperative incisional pain in patients, swallowing function recovery and the time to resume a normal solid-food diet within 3 months post-surgery, the advantages of totally robotic surgery were evaluated. Additionally, by examining the postoperative recovery of reflux symptoms, postoperative patient comfort, and satisfaction levels in both groups, the short-term clinical outcomes of totally robotic surgery were assessed.Results:Both groups of patients successfully completed the surgeries without any intraoperative or postoperative complications occurring. The fatigue score of the primary surgeon in the totally robotic group was significantly better than that in the laparoscopic group[ (2.34±1.38) vs. (2.89±1.51), t=1.385, P<0.01]. The time taken to resume a normal solid-food diet postoperatively in the totally robotic group was significantly shorter than that in the laparoscopic group[ (27.90±6.77) d vs. (40.78±13.60) d, t =5.765, P<0.01]. Moreover, the postoperative pain comfort level was better in the robotic group than in the laparoscopic group [(1.65±0.72) points vs. (2.23±0.59) points, t=3.742, P<0.01]. Within 12 months postoperatively, the GERD-Q scores in the totally robotic group decreased significantly, and reflux symptoms disappeared, comparable to that in the laparoscopic group. Conclusions:The totally robotic Nissen 360° fundoplication leads to lower fatigue levels for the surgeon. Patients experience significant advantages in terms of postoperative pain perception and dietary recovery. Additionally, it demonstrates excellent postoperative anti-reflux efficacy, high patient comfort, and the surgery is safe and reliable.

Organoids,as a three-dimensional structural model that has been rapidly developed and widely concerned in recent years,enable the key functions and microenvironment of internal organs to be simulated in the real world,and closely reflect the physiological and pathological characteristics of the natural occurrence and metastasis of tumors,providing a new platform for disease modeling,drug research and precision medicine.This paper briefly summarizes the limitations and development prospects of organoid models,analyzes the current construction and development of organoid models of lung cancer and its applicability compared with traditional models under the holistic concept of traditional Chinese medicine and the basic theory of syndrome differentiation and treatment,and discusses the application of organoid technology in the basic research of lung cancer treatment.The advantages in screening anti-tumor Chinese medicine and drug resistance research and precision medicine provide new ideas for realizing innovative breakthroughs in traditional Chinese medicine research combined with modern science and technology.