1.Mechanism of action of necroptosis in metabolic dysfunction-associated fatty liver disease and related targeted therapies
Xiang LIU ; Zhijian GONG ; Yaqing LIU ; Jiahao HUANG ; Jingya ZHAI ; Hehe CUI ; Yufeng XING
Journal of Clinical Hepatology 2026;42(9):2191-2196
Metabolic dysfunction-associated fatty liver disease is a common chronic liver disease worldwide, and its incidence rate continues to rise. The traditional “two-hit” theory has gradually been replaced by the “multiple-hit” hypothesis, which emphasizes the synergistic effect of multiple pathogenic factors. Necroptosis is an inflammatory form of death with both the morphological characteristics of necrosis and the signaling mechanism of apoptosis, and the core of necroptosis lies in the receptor-interacting protein kinase 1-receptor-interacting protein kinase 3-mixed lineage kinase domain-like pseudokinase signaling axis. This pathway directly leads to the death of hepatocytes, and it triggers an inflammatory response and promotes the fibrosis process by releasing damage-associated molecular patterns; the pathway is also closely associated with the metabolic reprogramming of the liver. This review summarizes the activation mechanism of necroptosis in metabolic dysfunction-associated fatty liver disease, analyzes its effect on liver inflammation, fibrosis, and metabolism, and explores its therapeutic strategies and application prospects.
2.Expert consensus on intraoperative repositioning for patients with spine fracture and dislocation (version 2025)
Dongmei BIAN ; Ke SUN ; Ningbo CHEN ; Caixia BAI ; Miao WANG ; Yafeng QIAO ; Fei WANG ; Hong WANG ; Feng TIAN ; Mei YAN ; Meng BAI ; Linjuan ZHANG ; Liyan ZHAO ; Yaqing CUI ; Xue JIANG ; Leling FENG ; Ning NING ; Junqin DING ; Lan WEI ; Yonghua ZHAI ; Yu ZENG ; Zengmei ZHANG ; Jiqun HE ; Fenggui BIE ; Hong CHEN ; Zengyan WANG ; Li LI ; Li ZHANG ; Yaying ZHOU ; Bing SHAO ; Ying WANG ; Caixia XIE ; Yanfeng YAO ; Jingjing AN ; Wen SHI ; Xiongtao LIU ; Xiaoyan AN ; Ning NAN ; Lan LI ; Xiaohui GOU ; Qiaomei LI ; Xiuting WU ; Yuqin ZHANG ; Jing LIU ; Fusen XIANG ; Xu XU ; Na MEI ; Jiao ZHOU ; Shan FAN ; Qian WANG ; Shuixia LI
Chinese Journal of Trauma 2025;41(2):138-147
Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.
3.SUMO-fusion expressions and catalytic efficiency of an organophosphate hydrolase mutant
Zhuang LIU ; Yanan ZHAI ; Shunye WANG ; Ming MA ; Ziyang WANG ; Yanqin LIU ; Xiang GAO ; Jing GAO
Military Medical Sciences 2025;49(8):598-603
Objective To heterologously express and purify the small ubiquitin-like modifier(SUMO)tag fused organo-phosphorus hydrolase mutant H257Y/L303T(YT),namely SUMO-YT,and evaluate its hydrolytic capacity against ethyl paraoxon and soman.Methods The SUMO tag encoding gene was constructed at the N-terminus of the YT encoding gene with a linker sequence via enzyme digestion and ligation before SUMO-YT was expressed in Escherichia coli.SUMO-YT and YT were purified through ammonium sulfate precipitation and affinity chromatography to obtain high-purity target proteins.The activity and kinetic parameters of the recombinant enzymes were examined using ethyl paraoxon and soman as substrates.Results The system for expression and purification of recombinant enzymes was established,yielding SUMO-YT and YT,and the former exhibited more significantly enhanced hydrolytic efficiency than the latter,with catalytic rates 11-fold higher for paraoxon and 4.4-fold higher for soman.At 37 ℃ and pH 7.2,SUMO-YT reduced the inhibition rate of acetylcholinesterase(AChE)by soman from 100%to 45.7%within 3 minutes,whereas YT reduced it to no more than 80%.Conclusion The high-activity recombinant SUMO-YT is prepared.SUMO tag fusion can significantly enhance the hydrolytic capacity of YT against ethyl paraoxon and soman.
4.Construction of a comprehensive prediction and visualization system for drug resistance in pulmonary tuberculosis patients based on an improved machine learning model
Feng WANG ; Luhua LIANG ; Fei ZHAI ; Xiaoling LUO ; Rongwu XIANG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(5):673-682
AIM:To analyze the clinical value of predicting drug resistance in pulmonary tuberculo-sis patients based on improved machine learning models,and to build a visualization system for veri-fication.METHODS:Retrospectively selected 1 025 pulmonary tuberculosis patients hospitalized in Zhuhai Sixth People's Hospital from March 2019 to March 2024 with drug sensitivity test results as the research object.According to the definition of drug-resistant tuberculosis,the patients were divided in-to 631 sensitive groups(drug sensitivity test results showed no drug resistance),271 RR/MDR groups(meeting the definition of rifampicin resistant tu-berculosis or multi drug resistant tuberculosis,but no drug resistance to any kind of fluoroquino-lones),and 123 pre XDR groups(on the basis of multi drug resistant tuberculosis,and at the same time,drug resistance to any kind of fluoroquino-lones).Analyze clinical data based on the improved machine learning model,help build a drug resistant tuberculosis prediction model,synchronously com-plete feature screening,conduct value analysis on the screened features,and build a visual system for verification.RESULTS:Three groups of patients with baseline data comparison shows:Age,Body mass index(BMI),basic treatment of classification,lung diseases,haemoptysis,second-line drug use history,damage to lung,with empty in all statisti-cally significant difference between the three groups(P<0.05);Based on the modified ma-chine learning model,8 variables were screened,which were history of second-line drug use,BMI,treatment classification,destructive lung,underly-ing lung diseases,cavitation,hemoptysis,and age.The modified machine learning model had the high-est prediction accuracy compared with the tradi-tional model,with AUC values of 0.9322(RR/MDR prediction was positive class)and 0.9545(pre-XDR prediction was positive class).CONCLUSION:The application of the improved machine learning mod-el can help predict the occurrence of drug-resistant tuberculosis and assist the clinical formulation of more effective treatment plans.
5.Efficiency analysis and improvement strategies for operating room from a phenomenological perspec-tive:a case study from a tertiary TCM orthopedic hospital
Xiao DU ; Peng YUAN ; Zhuo FU ; Shuhui ZHAI ; Zifan WANG ; Xiang ZHOU
Modern Hospital 2025;25(2):198-201
Objective To explore the efficiency of operating room(OR)and its influencing factors from a phenomeno-logical perspective,proposing corresponding improvement strategies.Methods A phenomenological method was adopted,invol-ving in-depth interviews with 13 surgical team members from a tertiary Traditional Chinese Medicine(TCM)orthopedic hospital in Henan Province,to collect and analyze their multifaceted understanding of OR efficiency.Results The study demonstrated eight interpretative ways of efficiency among team members.The overall framework was largely organization-oriented,with addi-tional human-centered considerations regarding the factors influencing efficiency.Conclusion A unified understanding is crucial for improving both efficiency and quality.This study suggests strategies to optimize OR processes through lean management and human-centered team development to enhance operating room efficiency.Additionally,it highlights the need for future research to incorporate more patient views.
6.ToxBERT:An explainable AI framework for enhancing prediction of adverse drug reactions and structural insights
Yujie HE ; Xiang LV ; Wulin LONG ; Shengqiu ZHAI ; Menglong LI ; Zhining WEN
Journal of Pharmaceutical Analysis 2025;15(8):1926-1936
Accurate prediction of drug-induced adverse drug reactions(ADRs)is crucial for drug safety evaluation,as it directly impacts public health and safety.While various models have shown promising results in predicting ADRs,their accuracy still needs improvement.Additionally,many existing models often lack interpretability when linking molecular structures to specific ADRs and frequently rely on manually selected molecular fingerprints,which can introduce bias.To address these challenges,we propose ToxBERT,an efficient transformer encoder model that leverages attention and masking mechanisms for simplified molecular input line entry system(SMILES)representations.Our results demonstrate that ToxBERT achieved area under the receiver operating characteristic curve(AUROC)scores of 0.839,0.759,and 0.664 for predicting drug-induced QT prolongation(DIQT),rhabdomyolysis,and liver injury,respectively,outperforming previous studies.Furthermore,ToxBERT can identify drug substructures that are closely associated with specific ADRs.These findings indicate that ToxBERT is not only a valuable tool for understanding the mechanisms underlying specific drug-induced ADRs but also for mitigating potential ADRs in the drug discovery pipeline.
7.Photoaffinity probe-enabled discovery of sennoside A reductase in Bifidobacterium pseudocatenulatum
Yang XU ; Shujing LV ; Xiang LI ; Chuanjia ZHAI ; Yulian SHI ; Xuejiao LI ; Zhiyang FENG ; Gan LUO ; Ying WANG ; Xiaoyan GAO
Journal of Pharmaceutical Analysis 2025;15(1):262-276
Sennoside A(SA),a typical prodrug,exerts its laxative effect only after its transformation into rhei-nanthrone catalyzed by gut microbial hydrolases and reductases.Hydrolases have been identified,but reductases remain unknown.By linking a photoreactive group to the SA scaffold,we synthesized a photoaffinity probe to covalently label SA reductases and identified SA reductases using activity-based protein profiling(ABPP).From lysates of an active strain,Bifidobacterium pseudocatenulatum(B.pseu-docatenulatum),397 proteins were enriched and subsequently identified using mass spectrometry(MS).Among these proteins,chromate reductase/nicotinamide adenine dinucleotide(NADH)phosphate(NADPH)-dependent flavin mononucleotide(FMN)reductase/oxygen-insensitive NADPH nitroreductase(nfrA)was identified as a potent SA reductase through further bioinformatic analysis and The Universal Protein Resource(UniProt)database screening.We also determined that recombinant nfrA could reduce SA.Our study contributes to further illuminating mechanisms of SA transformation to rheinanthrone and simultaneously offers an effective method to identify gut bacterial reductases.
8.Application of transnasal endoscopic approach for clipping the paraclival internal carotid artery in skull base surgery
Haiyan LI ; Pingping HU ; Minggang SHI ; Xu WANG ; Yanguo SHANG ; Xiaoguang TONG ; Gang LIU ; Guodong FENG ; Xiang ZHAI
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(10):1291-1297
Objective:To evaluate the feasibility and outcomes of transnasal endoscopic clipping of the paraclival internal carotid artery (ICA) in skull base surgery.Methods:The paraclival ICA was anatomically dissected in cadaveric head specimens. The clinical data of 15 patients with skull base lesions involving the ICA who admitted to the Department of Otorhinolaryngology Head and Neck Surgery at Tianjin Huanhu Hospital from January 2021 to December 2023 were retrospectively analyzed. Among them, 4 patients underwent transnasal endoscopic clipping of the paraclival ICA and concurrent lesion resection. The surgical methods were summarized, and the key points and indications of this technique were analyzed.Results:Intraoperative clipping of the ICA was successful and hemostatic in all 4 patients. Postoperatively, 3 patients had no complications, while 1 patient developed delayed ischemic cerebral infarction. Two patients were cured, 1 patient was maintained on immunotherapy, and 1 patient died. During follow-up, the clip was in situ in 1 patient, had detached in another, and was obscured by temporal muscle coverage in the remaining 2 patients.Conclusions:Transnasal endoscopic clipping of the paraclival ICA represents a potential option for managing the ICA in skull base surgery. However, it carries significant risks and limitations, mandating careful patient selection based on specific circumstances.
9.A comparative study on the payment reform for therapeutic value of dominant diseases of Traditional Chinese Medicine at provincial level
Qing-yan WU ; Li-sha LIU ; Min-xi GONG ; Li-xiang ZHAI
Chinese Journal of Health Policy 2025;18(8):63-70
Objective:Through the comparative analysis of the payment program for the therapeutic value of Traditional Chinese Medicine dominant diseases in 8 provinces,we found the shortcomings of the existing program and put forward the perfect policy suggestions.Methods:Comparative analysis of the core content of the programs in various places,the selection of disease types,efficacy evaluation indexes,the application of the payment link and the protection mechanism.Results:The fragmentation of existing programs is an obvious problem,the specific content settings of each item are quite different,reflecting differences in the understanding of the core content of the program,the existence of inconsistent understanding of Chinese medicine's therapeutic value,the failure to link the payment standard to the results of the therapeutic value evaluation,and the lack of recognition of the value of Chinese medicine's technical labor,among other problems.Conclusions:We can select disease types based on the prominent advantages of Traditional Chinese medicine,learn from the evaluation framework of western medicine value-based medical care,construct the evaluation system of Chinese medicine therapeutic value,and carry out"equal price"payment based on the"same effect"of health results,set performance indicators and payment standards in stages,realize the whole process management of disease,and enhance the Traditional Chinese Medicine's therapeutic value,and promote the development of Traditional Chinese Medicine inheritance and innovation.
10.Screening of key genes related to angiogenesis in rosacea based on bioinformatics analysis
Lu SUN ; Xiang LI ; Jinqiu WANG ; Lian ZHANG ; Hongzhi GU ; Qin CHEN ; Lan GE ; Zhifang ZHAI
Journal of Army Medical University 2025;47(7):701-707
Objective To investigate the differential expression genes(DEGs)related to angiogenesis in rosacea(RA)by utilizing bioinformatics analysis in order to screen the key genes and verify their mRNA expression levels.Methods The gene microarray dataset GSE65914 was retrieved from the Gene Expression Omnibus(GEO)repository.Analyzed by R programming,the dataset was refined to identify DEGs related to RA,and then cross-referenced with angiogenesis-related genes from the GeneCards database to get a subset specific to RA angiogenesis.The process of identifying key genes was augmented by employing protein-protein interaction(PPI)network analysis and Cytoscape-based computational algorithms.The mRNA expression levels of the aforementioned pivotal genes were detected by real-time fluorescent quantitative reverse transcription PCR(RT-qPCR).Results A total of 947 RA-associated DEGs were identified from GEO dataset,and then 202 genes related to RA angiogenesis were further delineated.PPI network analysis and Cytoscape algorithm finally identified 3 key genes,that is,CXCL8,IL-1B,and STAT1.The results of RT-qPCR showed that the mRNA expression levels of MIP-2,GCP-2,IL-1B and STAT1 in RA lesions were significantly higher than those in normal controls(P<0.05).Conclusion With aid of bioinformatics analysis,our study has screened and validated key genes associated with angiogenesis in RA,namely CXCL8,IL-1B,and STAT1,which providing a theoretical basis for elucidating the potential mechanisms underlying RA-induced angiogenesis and developing targeted therapeutic strategies.

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