With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM:This study aims to investigate the mechanisms underlying skeletal muscle mitochondrial damage associated with decline in exercise function during high-altitude de-adaptation,using a mouse model.METHODS:Twen-ty-four healthy male C57BL/6J mice were randomly assigned to two groups:a high-altitude de-adaptation group and a plain control group.The model group was exposed to a low-pressure,low-oxygen chamber simulating an altitude of 7 000 meters for two weeks,followed by eight days of rearing in a plain environment.The control group was maintained in a plain envi-ronment for the same duration.Grip strength and pole-climbing tests were conducted on the 1st,3rd,and 5th days post-re-turn to assess muscle strength and motor coordination.Treadmill exercises were performed on the 4th and 8th days to eval-uate exercise endurance.After the treadmill exercise on the 8th day,serum,liver,and skeletal muscle tissues were col-lected.Levels of lactic acid(LA),glucose(GLU),creatine kinase(CK),lactate dehydrogenase(LDH),alanine trans-aminase(ALT),and aspartate aminotransferase(AST)in serum,as well as glycogen levels in the liver and muscle,were analyzed.Additionally,the expression of proteins related to mitochondrial biogenesis,fission,fusion,and oxidative phos-phorylation in muscle tissues was assessed using Western blot.RESULTS:(1)The model group exhibited significant re-ductions in grip strength,increased pole-climbing T-turn and total times,and decreased total time and distance in the ex-haustion running test.(2)Serum levels of LA,CK,LDH,ALT,and AST were elevated,while GLU levels decreased,and glycogen levels in both the liver and muscle were reduced in the model group following the treadmill exercise.(3)Ab-normal indicators in the model group did not return to normal by the end of the de-adaptation period.(4)Western blot analysis revealed decreased expression of mitochondrial oxidative phosphorylation proteins(ATP6V1A and Mt-CO2)and mitochondrial biogenesis proteins(PGC-1α and FGF21),increased levels of mitochondrial fusion proteins(OPA1 and MFN1),and no significant changes in fission protein expression(FIS1 and DRP1)in muscle tissue from the model group.CONCLUSION:Exercise capacity in mice during the high-altitude de-adaptation period significantly declined,particu-larly in terms of muscle strength,motor coordination,and endurance.This decline is closely associated with abnormal pro-tein expression related to skeletal muscle mitochondrial energy metabolism and production.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

AIM:This study aims to investigate the mechanisms underlying skeletal muscle mitochondrial damage associated with decline in exercise function during high-altitude de-adaptation,using a mouse model.METHODS:Twen-ty-four healthy male C57BL/6J mice were randomly assigned to two groups:a high-altitude de-adaptation group and a plain control group.The model group was exposed to a low-pressure,low-oxygen chamber simulating an altitude of 7 000 meters for two weeks,followed by eight days of rearing in a plain environment.The control group was maintained in a plain envi-ronment for the same duration.Grip strength and pole-climbing tests were conducted on the 1st,3rd,and 5th days post-re-turn to assess muscle strength and motor coordination.Treadmill exercises were performed on the 4th and 8th days to eval-uate exercise endurance.After the treadmill exercise on the 8th day,serum,liver,and skeletal muscle tissues were col-lected.Levels of lactic acid(LA),glucose(GLU),creatine kinase(CK),lactate dehydrogenase(LDH),alanine trans-aminase(ALT),and aspartate aminotransferase(AST)in serum,as well as glycogen levels in the liver and muscle,were analyzed.Additionally,the expression of proteins related to mitochondrial biogenesis,fission,fusion,and oxidative phos-phorylation in muscle tissues was assessed using Western blot.RESULTS:(1)The model group exhibited significant re-ductions in grip strength,increased pole-climbing T-turn and total times,and decreased total time and distance in the ex-haustion running test.(2)Serum levels of LA,CK,LDH,ALT,and AST were elevated,while GLU levels decreased,and glycogen levels in both the liver and muscle were reduced in the model group following the treadmill exercise.(3)Ab-normal indicators in the model group did not return to normal by the end of the de-adaptation period.(4)Western blot analysis revealed decreased expression of mitochondrial oxidative phosphorylation proteins(ATP6V1A and Mt-CO2)and mitochondrial biogenesis proteins(PGC-1α and FGF21),increased levels of mitochondrial fusion proteins(OPA1 and MFN1),and no significant changes in fission protein expression(FIS1 and DRP1)in muscle tissue from the model group.CONCLUSION:Exercise capacity in mice during the high-altitude de-adaptation period significantly declined,particu-larly in terms of muscle strength,motor coordination,and endurance.This decline is closely associated with abnormal pro-tein expression related to skeletal muscle mitochondrial energy metabolism and production.

Objective:Utilizing a seven-year panel data set of a targeted admission medical student cohort,this study aims to examine their career development and provide insights for retaining healthcare talent in township health centers and village clinics in the central and western rural areas of China.Method:Starting from 2015,cohorts of targeted and general clinical graduates from four medical colleges in central and western China were selected and tracked for their career progression.Results:The targeted graduates'standardized residency training and medical licensing examination pass rates were similar to those of general clinical graduates.They advanced more quickly in professional titles and positions,with 82.5%becoming attending physicians and 16.2%obtaining positions in the seventh year after graduation.However,their monthly income was significantly lower than that of general clinical graduates,and this income discrepancy expanded annually.As of December 2022,among the 493 targeted graduates who completed their contracts,38.5%stayed in grassroots positions.Of those who left,60%moved to county-level or higher public hospitals,7.9%pursued further studies,and 27.7%were unemployed.Conclusion:Targeted graduates are well-trained and advance rapidly in their careers,but their lower income significantly impacts their willingness to remain at the grassroots level.After completing their service period,about one-third of the targeted graduates choose to stay in grassroots positions.

italic>Polygonum capitatum is a characteristic Miao medicine in Guizhou, commonly used in clinical practice to treat gastrointestinal and urinary tract infections. Research has found that it has good antibacterial and anti-inflammatory effects, and its main active ingredient is flavonoids. Lavonoid O-methyltransferase (FOMT) is a key enzyme for oxymethylation modification of flavonoid compounds. In order to understand the function and properties of FOMT protein in Polygonum capitatum, the transcriptome was sequenced by Illumina HiSeq 4000 high throughput sequencing technology. Then, the obtained transcripts were annotated and analyzed, and the whole genome of the FOMT gene family in Polygon capitalis was mined and identified. A total of 99 298 Unigenes were obtained, of which 71 514 were successfully annotated by the public database. In the genome of Polygonum capitatum, a total of 50 FOMT genes were identified. The phylogenetic tree showed that FOMT genes were divided into two subfamilies: caffeoyl CoA O-methyltransferase (CCoAOMT) and caffeic acid O-methyltransferase (COMT). Gene sequence analysis showed that the number of FOMT encoded amino acids ranged from 99 to 1 053 aa, the molecular weight ranged from 11 224.91 to 86 687.42 Da, and the isoelectric point ranged from 4.79 to 9.45. The 50 FOMT family members were hydrophobic proteins. Subcellular localization results showed that 54% of FOMT subfamily CCoAOMT and COMT members were located in cytoplasm and 28% were located in chloroplasts. The FOMT gene was tissue specific and highly expressed in the flowers of Polygonum capitatum, followed by the stems, and the least expressed in the roots. In this study, the FOMT gene family of Polygonum capitatum was identified and analyzed to provide theoretical basis for further study of FOMT function and biosynthesis of methylated flavonoids.

Ultra-performance liquid chromatography-quadrupole time of fight/mass spectrometry(UPLC-Q-TOF-MS) and UNIFI were employed to rapidly determine the content of the components in Liangxue Tuizi Mixture. The targets of the active components and Henoch-Schönlein purpura(HSP) were obtained from SwissTargetPrediction, Online Mendelian Inheritance in Man(OMIM), and GeneCards. A "component-target-disease" network and a protein-protein interaction(PPI) network were constructed. Gene Ontology(GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed for the targets by Omishare. The interactions between the potential active components and the core targets were verified by molecular docking. Furthermore, rats were randomly assigned into a normal group, a model group, and low-, medium-, and high-dose Liangxue Tuizi Mixture groups. Non-targeted metabolomics was employed to screen the differential metabolites in the serum, analyze possible metabolic pathways, and construct the "component-target-differential metabolite" network. A total of 45 components of Liangxue Tuizi Mixture were identified, and 145 potential targets for the treatment of HSP were predicted. The main signaling pathways enriched included resistance to epidermal growth factor receptor tyrosine kinase inhibitors, phosphatidylinositol 3-kinase/protein kinase B(PI3K-AKT), and T cell receptor. The results of molecular docking showed that the active components in Liangxue Tuizi Mixture had strong binding ability with the key target proteins. A total of 13 differential metabolites in the serum were screened out, which shared 27 common targets with active components. The progression of HSP was related to metabolic abnormalities of glycerophospholipid and sphingolipid. The results indicate that the components in Liangxue Tuizi Mixture mainly treats HSP by regulating inflammation and immunity, providing a scientific basis for rational drug use in clinical practice.
Animals ; Rats ; IgA Vasculitis/drug therapy* ; Network Pharmacology ; Molecular Docking Simulation ; Phosphatidylinositol 3-Kinases ; Metabolomics

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.