Objective: To establish anin vitromodel of ferroptosis induced by Erastin and RAS-selective lethal 3(RSL3) in hepatoma cells, and to provide theoretical basis for the development of novel therapeutic strategies for HCC. Methods: Hepatoma cells(HCCLM3, HepG2, Hep3B, Huh7 and PLC/PRF/5) in logarithmic growth phase were treated with Erastin(0-40 μmol/L) and RSL3(0-10 μmol/L) at double concentrations respectively. After 24 h, CCK-8 method was used to detect cell viability, draw growth curve, calculate IC50, and HCC cells sensitive to inducers were selected for follow-up experiments. The effect of inducer on the state of hepatoma cells was observed under light microscope, and immunoblotting and flow cytometry were used to verify whether the ferroptotic modelin vitrowas successfully constructed. Results: Huh7, Hep3B and HepG2 cells were sensitive to Erastin and RSL3, but HCCLM3 and PLC/PRF/5 were insensitive to Erastin and RSL3. When the concentration of Erastin and RSL3 reached the maximum, the survival rate was still above 65%. Huh7, Hep3B and HepG2 cells were selected for subsequent experiments. Compared with the control group, the expression of Glutathione peroxidase 4(GPX4), a ferroptotic marker, was down-regulated in a concentration-dependent manner. In Huh7, Hep3B and HepG2 cells, lipid reactive oxygen species(ROS) levels significantly increased after 24 h treatment with 10 μmol/L and 20 μmol/L Erastin, respectively; in Huh7 cells, lipid ROS levels significantly increased after 24 h treatment with 0.5 μmol/L and 1 μmol/L RSL3, respectively; in Hep3B and HepG2 cells, lipid ROS levels significantly increased after 24 h treatment with 1 μmol/L and 2 μmol/L RSL3, respectively, compared with control group. Conclusion Huh7, Hep3B and HepG2 cells are highly sensitive to Erastin and RSL3. Huh7, Hep3B and HepG2 cells treated with 10 μmol/L Erastin for 24 h are good models for simulating ferroptosis induced by Erastinin vitro, Huh7 cells treated with 0.5 μmol/L RSL3 for 24 h and Hep3B and HepG2 cells treated with 1 μmol/L RSL3 for 24 h are good models for simulating ferroptosis induced by RSL3in vitro.

When artificial intelligence is integrated into medical decision-making,the ambiguous definition of technological autonomy and the multi-party game of responsibility allocation lead to legal disputes over rights and responsibilities as well as ethical challenges.Focusing on clinical diagnosis,treatment strategy generation,and prognosis assessment,this paper reveals the data bias and decision traceability deficiencies caused by the"black box"of algorithms,and then proposes solutions from 3 dimensions:defining responsible parties,standardizing technical defect assessments,and promoting interdisciplinary collaboration.From a legal perspective,based on the"high-risk system"classification under the European Union Artificial Intelligence Act and no-fault liability principle under the product liability relative laws,a 3-tier responsibility framework of developer-operator-medical institution is constructed:for auxiliary systems,operating physicians bear ultimate responsibility;for decision-making systems,developers are required to provide verifiable algorithms and take joint liability.Ethically,dynamic review mechanisms(such as mandatory disclosure of decision tree logic and data balance metrics)are suggested to balance technological efficiency with patients' right to informed consent.

Objective: To investigate the inhibitory effect of Elesclomol (ES) + Cu2 + on the proliferation of human hepatoma cell lines PLC/PRF/5 and Huh-7 and its potential to induce Cuproptosis. Methods: Human hepatoma cell lines PLC/PRF/5 and Huh_7 cells were Cultured in vitro. ES solution , Cu2 + solution and copper chelating agent ammonium tetrathiomolybdate VI (ATTM) solution was treated separately or in combination. The effect of ES + Cu2 + on the survival rate of human hepatoma cell lines PLC/PRF/5 and Huh_7 cells and the effect of ES + Cu2 + on the survival rate after pretreatment with copper chelating agent ATTM were evaluated using CCK_8 kit. The cell death induced by ES + Cu2 + was detected by flow cytometry and the changes of ES + Cu2 + after pretreatment with copper chelating agent ATTM. The expression of Cuproptosis related proteins ATPase copper transporting beta (ATP7B) ,ferredoxin 1 (FDX1) , dihydrolipoamide s_acetyltransferase(DLAT) and superoxide dismutase 1 (SOD1) were detected by Western blot. The effect of ES + Cu2 + on cell proliferation and the reverse effect after ATTM pretreatment was detected by cell scratch assay. Results: The toxicity of ES + Cu2 + to human hepatocellular carcinoma cell lines PLC/PRF/5 and Huh_7 was significantly dose_dependent (P < 0. 05) . Compared with the control group , the combined application of ES and Cu2 + had a more significant inhibitory effect on hepatocellular carcinoma cells than ES or Cu2 + alone (P < 0. 05) , and copper chelating agent ATTM could reverse the inhibitory effect of ES + Cu2 + on hepatocellular carcinoma cells (P < 0. 05) . Flow cytometry results showed that compared with the control group , the proportion of cell death in PLC/PRF/5 and Huh_7 cells treated with ES + Cu2 + increased , while the proportion of cell death decreased after ATTM intervention (P < 0. 05) . The results of cell scratch test showed that the migration ability of PLC/PRF/5 and Huh_7 cells was decreased after ES + Cu2 + treatment , however, the addition of ATTM reversed the inhibitory effect of ES + Cu2 + on cell migration (P < 0. 05) . Compared with the control group , the expression levels of copper death related proteins ATP7B , FDX1 , DLAT and SOD1 decreased after ES + Cu2 + treatment , but the addition of ATTM reversed the expression trend of these proteins (P < 0. 05) . Conclusion The combination of ES and Cu2 + can effectively inhibit the proliferation and migration of PLC/PRF/5 and Huh_7 of hepatocellular carcinoma cells , and induce Cuproptosis , which provides a new strategy for the treatment of hepatocellular carcinoma.

Aim To systematically elucidate the molecular regulatory network of thermogenic function in brown adipose tissue(BAT)through multi-omics integrative analysis,to discover novel thermogenic regulatory genes and provide novel therapeutic targets for metabolic disorders.Methods A novel methodology for screening key genes regulating thermogenesis in BAT was constructed:First,differential expression analysis was performed on bulk RNA-seq data from murine BAT.Genes meeting the thresholds of ABS(log2FoldChange)＞1 and Padj＜0.05 were identified as differentially expressed genes.Intersectional analysis was then applied to obtain consensus upregulated and downregulated gene sets.Subsequently,scRNA-seq data of brown adipocytes were partitioned into high-expression group and low-expression group based on the expression levels of candidate genes.Differential analysis and gene set enrichment analysis(GSEA)were conducted between these groups to assess the correlation between candidate genes and thermogenic function.Finally,ex-perimental validation of selected candidate genes was performed using quantitative real-time PCR and Western blot.Results Bioinformatics analysis identified 65 thermogenesis-positive correlated genes and 7 thermogenesis-negative corre-lated genes.Subsequent quantitative PCR validation demonstrated that candidate genes Mfsd2a,Me1,Slc25a34,Pfkp,Ankrd9,Hsd17b12,Aldoa,Ctsz and Pcyt2 exhibited upregulation exceeding 5-fold,while Pid1 and Angpt1 showed down-regulation over 50％.All observed expression changes demonstrated statistical significance(P＜0.01)through rigorous hypothesis testing.These findings highlight the potential involvement of these genes in thermogenic regulation,warranting further functional investigations to elucidate their molecular mechanisms in energy metabolism pathways.Conclusions This study established a novel"computational screening → in silico knockout → experimental validation"paradigm for tar-get discovery,systematically unveiling the molecular network involved in BAT thermogenic regulation.This methodology is equally applicable for identifying key regulatory genes in other physiological or pathological processes.The study identi-fied 11 core genes that may play pivotal regulatory roles during BAT thermogenic activation,which could potentially offer novel pharmacological intervention targets to improve energy metabolism and treat obesity-related complications.

Aim To systematically elucidate the molecular regulatory network of thermogenic function in brown adipose tissue(BAT)through multi-omics integrative analysis,to discover novel thermogenic regulatory genes and provide novel therapeutic targets for metabolic disorders.Methods A novel methodology for screening key genes regulating thermogenesis in BAT was constructed:First,differential expression analysis was performed on bulk RNA-seq data from murine BAT.Genes meeting the thresholds of ABS(log2FoldChange)＞1 and Padj＜0.05 were identified as differentially expressed genes.Intersectional analysis was then applied to obtain consensus upregulated and downregulated gene sets.Subsequently,scRNA-seq data of brown adipocytes were partitioned into high-expression group and low-expression group based on the expression levels of candidate genes.Differential analysis and gene set enrichment analysis(GSEA)were conducted between these groups to assess the correlation between candidate genes and thermogenic function.Finally,ex-perimental validation of selected candidate genes was performed using quantitative real-time PCR and Western blot.Results Bioinformatics analysis identified 65 thermogenesis-positive correlated genes and 7 thermogenesis-negative corre-lated genes.Subsequent quantitative PCR validation demonstrated that candidate genes Mfsd2a,Me1,Slc25a34,Pfkp,Ankrd9,Hsd17b12,Aldoa,Ctsz and Pcyt2 exhibited upregulation exceeding 5-fold,while Pid1 and Angpt1 showed down-regulation over 50％.All observed expression changes demonstrated statistical significance(P＜0.01)through rigorous hypothesis testing.These findings highlight the potential involvement of these genes in thermogenic regulation,warranting further functional investigations to elucidate their molecular mechanisms in energy metabolism pathways.Conclusions This study established a novel"computational screening → in silico knockout → experimental validation"paradigm for tar-get discovery,systematically unveiling the molecular network involved in BAT thermogenic regulation.This methodology is equally applicable for identifying key regulatory genes in other physiological or pathological processes.The study identi-fied 11 core genes that may play pivotal regulatory roles during BAT thermogenic activation,which could potentially offer novel pharmacological intervention targets to improve energy metabolism and treat obesity-related complications.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.

Objective To explore a method to improve the accuracy and generalization ability of medical diagnostic neural network models under conditions of small data volumes,and to address the issue of poor neural network model performance in computer-aided diagnosis of nail diseases due to limited training data.Methods A dual-model strategy integrating instance segmentation with fine-grained feature classification was proposed.The neural network model based on dual-model strategy was trained using the dataset of Image-Based Intelligent Diagnosis of Nail Disease Model task of the first National Digital Health Innovation Application Competition & Health and Medical Big Data Theme Competition.This dataset covered 8 types of nail diseases,including nail matrix nevi,paronychia,nail psoriasis,onychomycosis,subungual hemorrhage,melanonychia,periungual warts,and nail melanoma,with class imbalance present.The diagnostic performance of the dual-model strategy was evaluated and compared with single-model strategies(image classification models[ResNet50 and Swin Transformer]and target detection model based on faster region-based convolutional neural network[Faster R-CNN])under the same hardware and software training conditions.Results The dataset included 1 048 samples,including 210 cases of nail matrix nevi,186 cases of paronychia,69 cases of nail psoriasis,203 cases of onychomycosis,149 cases of subungual hemorrhage,71 cases of melanonychia,93 cases of periungual warts,and 67 cases of nail melanoma,with 90％used for training various models and 10％for evaluation.The micro F1 score was 0.324 in the image classification model based on ResNet50,0.381 in the image classification model based on Swin Transformer,0.572 in the target detection model based on Faster R-CNN,and 0.714 in the dual-model strategy model Mask R-CNN+Swin Transformer.The accuracy rates for diagnosing different nail diseases in the dual-model strategy were:nail matrix nevi 80.95％(17/21),paronychia 89.47％(17/19),nail psoriasis 100.00％(7/7),onychomycosis 70.00％(14/20),subungual hemorrhage 73.33％(11/15),melanonychia 14.29％(1/7),periungual warts 55.56％(5/9),and nail melanoma 42.86％(3/7).The micro F1 score for evaluating the dual-model strategy on a test set of 1 000 cases was 0.844.Conclusion The dual-model strategy can effectively combine models with different functions to well accomplish the task of intelligent diagnosis of nail diseases under small data volume training conditions.

Objective: To compare the long-term clinical and radiographic outcomes of transforaminal endoscopic lumbar discectomy (TELD) versus microdiscectomy (MD). Methods: The data of 154 patients with lumbar disc herniation (LDH) who underwent TELD (n = 89) or MD (n = 65) were retrospectively analyzed. The patients’ clinical outcomes were evaluated using visual analogue scales for leg and low back pain, the Japanese Orthopaedic Association (JOA) score, and the Oswestry Disability Index (ODI). The evolution of radiographic manifestations was observed during follow-up. Potential risk factors for a poor clinical outcome were investigated. Results: During a mean follow-up of 5.5 years (range, 5–7 years), the recurrence rate was 4.49% in the TELD group and 1.54% in the MD group. All scores significantly improved from preoperatively to postoperatively in both groups (p < 0.01). The improvement in the ODI and JOA scores was significantly greater in the TELD than MD group (p < 0.05). Forty-seven patients (52.8%) in the TELD group and 32 (49.2%) in the MD group had Modic changes before surgery, most of which showed no changes at the last follow-up. The degeneration grades of 292 discs (71.0%) were unchanged at the last follow-up, while 86 (20.9%) showed improvement, mostly at the upper adjacent segment. No significant difference was observed in the intervertebral height index or paraspinal muscle-disc ratio. Conclusion Both TELD and MD provide generally satisfactory long-term clinical outcomes for patients with LDH. TELD can be used as a reliable alternative to MD with less surgical trauma. Modic type II changes, decreased preoperative intervertebral height, and a high body mass index are predictors of a poor prognosis.