It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

Shengma Gegentang is one of the classic formulas in the Catalogue of Ancient Classic Prescriptions （Second Batch）. This study reviewed ancient and modern literature and used literature tracing and bibliometric methods to analyze the historical evolution， efficacy， indications， dosage decoctions， and modern clinical disease spectrum of Shengma Gegentang. The results indicated that the earliest record of Shengma Gegentang can be found in the Taiping Huimin Heji Jufang of the Song dynasty， but its origin can be traced back to the Shaoyao Siwu Jiejitang in the Beiji Qianjin Yaofang of the Tang dynasty. The composition dosage of Shengma Gegentang is 413 g of Cimicifugae Rhizoma， 619.5 g of Puerariae Lobatae Radix， 413 g of Paeoniae Radix Alba， and 413 g of Glycyrrhizae Radix et Rhizoma， which are ground into coarse powder. Each dose is 12.39 g， and the amount of water added is 300 mL. 100 mL of solution is decocted and taken at the right time. The four drugs in the formula play the role of relieving exterior syndrome， penetrating pathogenic factors， and detoxicating together. Its indications are widely involved in internal medicine， pediatrics， surgery， ophthalmology and otorhinolaryngology， obstetrics and gynecology， sexually transmitted diseases， and other diseases， such as measles， sores， acne， spots， surgical gangrene， red eyes， toothache， chancre， and fetal poison. The epidemic diseases treated by Shengma Gegentang are complicated， including rash， pox， macula， numbness， summer diarrhea， dysentery， sha disease， febrile symptoms， spring warmth， winter warmth， and cold pestilence. At the same time， it is a plague prevention formula. Although Shengma Gegentang has a wide range of indications， it cannot be separated from the pathogenic mechanism of evil Qi blocking the muscle surface and heat in the lungs and stomach. The modern clinical disease spectrum of Shengma Gegentang involves the ophthalmology and otorhinolaryngology system， nervous system， pediatric-related diseases and syndromes， skin system， hepatobiliary system， and digestive system. It plays a key role in the treatment of epidemic diseases such as measles， chronic hepatitis B， dysentery， and tetanus.

OBJECTIVE To construct an evaluation index system for the core competencies of ethics committee members of drug clinical trial institution， providing a basis for optimizing the training system for committee members， improving the quality of ethical review， and fully safeguarding the safety and rights of subjects. METHODS Using methods such as literature research and expert consultation， a preliminary core competency evaluation index system was constructed. The Delphi method was employed to revise and validate it， ultimately forming an evaluation index system for the core competencies of ethics committee members. Based on this system， a questionnaire survey was conducted among 90 ethics committee members from 29 drug clinical trial institutions nationwide， comparing their importance rating and self-assessment scores of the core competency indexes. RESULTS The evaluation system constructed included 4 primary indicators （ethics and professional knowledge， ethics review ability， communication and expression ability， moral integrity and work style） and 39 secondary indicators （familiarity with the content of clinical trial-related laws and regulations， ability to complete project ethics review and identify ethical defects in research protocols within a short period of time， ability to judge the scientific value of clinical research， etc.）. The results of questionnaire survey showed that the interviewed ethics committee members had significant capability gaps in dimensions such as regulatory knowledge， ethical norms， review efficiency， risk judgment， and problem analysis. The differences between the importance rating scores of corresponding secondary indicators and the self-assessment scores were all no less than 0.38. CONCLUSIONS This study has developed a quantifiable and stratified core competency assessment tool for ethics committee members. It can provide a scientific framework for committee member training， qualification certification， and standardized management of ethics committees.

OBJECTIVE: To develop a clinical automated diagnostic system for temporomandibular disorders (TMD) based on the diagnostic criteria for TMD (DC/TMD) to assist dentists in making rapid and accurate clinical diagnosis of TMD. METHODS: Clinical and imaging data of 354 patients, who visited the Center for TMD & Orofacial Pain at Peking University Hospital of Stomatology from September 2023 to January 2024, were retrospectively collected. The study developed a clinical automated diagnostic system for TMD using the DC/TMD, built on the. NET Framework platform with branching statements as its internal structure. Further validation of the system on consistency and diagnostic efficacy compared with DC/TMD were also explored. Diagnostic efficacy of the TMD clinical automated diagnostic system for degenerative joint diseases, disc displacement with reduction, disc displacements without reduction with limited mouth opening and disc displacement without reduction without limited mouth opening was evaluated and compared with a specialist in the field of TMD. Accuracy, precision, specificity and the Kappa value were assessed between the TMD clinical automated diagnostic system and the specialist. RESULTS: Diagnoses for various TMD subtypes, including pain-related TMD (arthralgia, myalgia, headache attributed to TMD) and intra-articular TMD (disc displacement with reduction, disc displacement with reduction with intermittent locking, disc displacement without reduction with limited opening, disc displacement without reduction without limited opening, degenerative joint disease and subluxation), using the TMD clinical automated diagnostic system were completely identical to those obtained by the TMD specialist based on DC/TMD. Both the system and the expert showed low sensitivity for diagnosing degenerative joint disease (0.24 and 0.37, respectively), but high specificity (0.96). Both methods achieved high accuracy (> 0.9) for diagnosing disc displacements with reduction and disc displacements without reduction with limited mouth opening. The sensitivity for diagnosing disc displacement without reduction without limited mouth opening was only 0.59 using the automated system, lower than the expert (0.87), while both had high specificity (0.92). The Kappa values for most TMD subtypes were close to 1, except the disc displacement without reduction without limited mouth opening, which had a Kappa value of 0.68. CONCLUSION This study developed and validated a reliable clinical automated diagnostic system for TMD based on DC/TMD. The system is designed to facilitate the rapid and accurate diagnosis and classification of TMD, and is expected to be an important tool in clinical scenarios.
Humans ; Temporomandibular Joint Disorders/diagnosis* ; Retrospective Studies ; Male ; Female ; Adult ; Middle Aged ; Facial Pain/diagnosis* ; Diagnosis, Computer-Assisted/methods* ; Sensitivity and Specificity ; Young Adult

Carbamate pesticides, a new type of broad-spectrum pesticides for controlling pests, mites, and weeds, are developed to address the shortcomings of organochlorine and organophosphorus pesticides. Their widespread use and slow degradation have led to environmental pollution, causing damage to ecosystems and human health. Managing pesticide residues is a pressing issue in the current environmental protection. This study aims to investigate the expression of SyEst870, a member of the SGNH/GDSL hydrolase family in Sphingobium yanoikuyae, in a prokaryotic system and evaluate the ability of the recombinant protein to degrade carbamate pesticides. The prokaryotic expression vector pET-32a-SyEst870 was constructed and transformed into the Escherichia coli BL21 for heterologous expression. The purified protein was studied in terms of enzyme activity and effects of temperature, pH, and metal ions on the enzyme activity, with p-nitrophenol acetate as the substrate and based on the standard curve of p-nitrophenol. LC-MS (liquid chromatography-mass spectrometry) was employed to examine the degradation effects of SyEst870 on carbaryl, metolcarb, and isoprocarb. GC-MS (gas chromatography-mass spectrometry) was employed to detect the degradation products of SyEst870 for the three pesticides. The soluble protein SyEst870 was successfully obtained through the heterologous expression in Escherichia coli, which yielded an enzyme with the activity of 677.5 U after affinity chromatography. SyEst870 exhibited degradation rates of 82.34%, 84.43%, and 92.87% for carbaryl, metolcarb, and isoprocarb, respectively, at an initial concentration of 100 mg/L within 24 h at 30 ℃ and pH 7.0. The primary degradation products of carbaryl were identified as α-naphthol and methyl isocyanate. Metolcarb was mainly degraded into m-cresol and methyl isocyanate, and isoprocarb was mainly degraded into 2-isopropylphenol and methyl isocyanate. Compared with the half-life of carbamate pesticides in the natural environment, which ranges from a few days to several weeks, the recombinant protein SyEst870 can rapidly eliminate the residues of carbamate pesticides. This study lays a foundation for addressing pesticide residues in the environment and in fruits and vegetables.
Escherichia coli/metabolism* ; Sphingomonadaceae/genetics* ; Recombinant Proteins/metabolism* ; Biodegradation, Environmental ; Esterases/metabolism* ; Pesticides/isolation & purification* ; Carbamates/isolation & purification*

OBJECTIVE To establish a core competency evaluation system for drug clinical trial quality management personnel in China and validate its application. METHODS Based on the scope of work， responsibilities， and role positioning of quality management personnel in drug clinical trials， a preliminary draft of the core competency evaluation system was constructed through literature analysis and expert consultation. The draft was refined through a Delphi method involving 17 experts who provided feedback and revisions， ultimately forming a complete evaluation system. The developed system was applied to conduct electronic surveys from March to May 2024 among 110 quality management personnel from 38 drug clinical trial institutions， comparing their scores on indicator importance and self-assessed capabilities. RESULTS The response rate of both rounds of questionnaire survey was 100%， with Kendall’s W coefficients of 0.256 and 0.277 （P＜0.001 for both）， and an expert authority coefficient of 0.946. The finalized evaluation system for core competencies of clinical trial quality management personnel comprised 9 primary indicators， covering individual professional competence， communication skills， implementation condition verification， informed consent process review， clinical trial execution monitoring， adverse event disposal， reporting and documentation， trial record examination， trial report auditing， and inspection of other tasks， and 107 secondary indicators. Empirical research revealed significant discrepancies between importance scores and self-assessed competency scores across 70 indicators among 110 respondents （P＜0.05）. Indicators with relatively notable gaps between importance scores and self-assessed competency scores included in-depth understanding of Good Clinical Practice （GCP） requirements （0.34-point gap）， familiarity with national and institutional clinical trial inspection priorities （0.24-point gap），etc. CONCLUSIONS The indicator system constructed in this study has good scientificity and reliability. Clinical trial quality management personnel demonstrate deficiencies in multiple critical competencies， highlighting the urgent need for targeted training programs to enhance their overall professional capabilities.

Childhood primary renal tubular diseases are chronic kidney diseases characterized by impaired renal tubular reabsorption. Primary renal tubular disease has diverse clinical manifestations and lacks of specificity. Laboratory tests are limited，making it prone to missed diagnosis and misdiagnosis. Based on the current knowledge of renal tubular diseases，authors propose early warning signals of renal tubular diseases such as family history of primary tubular diseases，unexplained polyhydramnios during pregnancy，polydipsia，polyuria，delayed growth and development or rickets，decreased muscle strength and tone，unexplained electrolyte disturbance，hyperuricemia，acid-base disturbance，positive urine sugar test，renal tubular proteinuria，urinary imaging examination suggesting kidney stones，calcium deposition，renal cysts and early onset of eye，ear，joint and neuron injury.Meanwhile，some universal management strategies for primary renal tubular disease are proposed，emphasizing the importance of multidisciplinary collaboration，genetic testing and individualized intervention to improve the long-term prognosis of childhood primary renal tubular diseases.

Objective To analyze the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

Objective:To establish ferroptosis-related risk characteristics, to evaluate the prognostic correlation of ferroptosis-related genes in hepatocellular carcinoma, and to explore the complex relationship between hepatocellular carcinoma, ferroptosis and immune microenvironment.Methods:The bioinformatics analysis involved obtaining ferroptosis-related differentially expressed genes (DEGs) from the GeneCards database and the cancer genome atlas database. The biological functions of ferroptosis-related DEGs were analyzed using gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment. Ferroptosis-related DEGs clusters were identified using univariate Cox regression analysis and cluster analysis, etc. The correlation between ferroptosis-related DEGs clusters and tumor immune microenvironment and tumor occurrence score was evaluated using immunopanoramic analysis and tumor-related score analysis. Based on ferroptosis-related characteristics, a ferroptosis-related characteristic spectrum and nomogram were constructed using multivariate Cox regression and correlation analysis, etc. The correlation between the risk characteristics and tumor immune microenvironment, tumor occurrence score and gene mutation were evaluated using immune panoramic analysis, tumor-related score analysis and gene mutation analysis. In the experimental verification stage, the mRNA expression levels of aurora kinase A ( Aurka), acetyl-CoA carboxylase alpha ( Acaca) and arrestin domain containing 3 ( Arrdc3) in mouse primary hepatocytes and mouse hepatoma Hepa1-6 cells were verified by real-time reverse transcription-PCR (RT-qPCR). The mRNA expression levels of AURKA, ACACA and ARRDC3 in adjacent normal tissues and tumor tissues of patients with hepatocellular carcinoma were verified by RT-qPCR. A heat map was used to show the correlation between clustering and clinical parameters, and this was analyzed using a chi-square test. Significance analysis was performed using a two-sided unpaired t test. Results:A total of 35 up-regulated genes and 19 down-regulated genes were identified. These genes were mainly involved in biological processes and signaling pathways related to ferroptosis, oxidative stress and fatty acid metabolism. A total of 14 ferroptosis-related DEGs were identified to be associated with prognosis. The clusterring effect was best when hepatocellular carcinoma patients were divided into two subgroups. The survival rate of cluster 2 was lower than that of cluster 1 ( P<0.05). There was no significant difference in the tumor immune dysfunction and exclusion (TIDE) score between cluster 2 and cluster 1 ( P=0.43). Cluster 1 exhibited higher levels of immune cell infiltration, particularly CD4 + T cells ( P<0.01). The expression levels of 10 major histocompatibility complex (MHC) molecule-related genes were higher in cluster 1. The angiogenesis activity score ( P=0.048) and stemness score ( P=0.038) of cluster 2 were increased, and the expression levels of programmed death-1 ( PDCD1) and cytotoxic T lymphocyte-associated antigen-4 ( CTLA-4) in cluster 2 (5.924±0.013 and 5.475±0.042) were higher than those in cluster 1 (4.539±0.143 and 4.372±0.176) (both P<0.05). The expression levels of AURKA, glucose-6-phosphate dehydrogenease ( G6PD), ACACA, GABA type A receptor associated protein like 1 ( GABARAPL1) and ARRDC3 were correlated with the T stage, clinical stage and survival status of hepatocellular carcinoma. The survival rate of the high-risk group was lower than that of the low-risk group with time ( P<0.01). The area under the curve of the risk characteristics at 1, 3 and 5 years was 0.797, 0.717 and 0.639, respectively. The actual survival time 1, 3, and 5 years was highly consistent with the corresponding predicted survival time. The levels of memory B cell infiltration, angiogenesis activity score and cell stemness score, programmed death-ligand 1, CTLA-4, hepatitis A virus cell receptor 2, lymphocyte activation gene 3 and PDCD1 gene expression (0.013 8±0.036 0, 0.884±0.212, 0.387±0.135, 6.273±0.228, 5.847±0.331, 8.179±0.259, 6.859±0.263 and 5.142±0.326) in the high-risk group were higher than those in the low-risk group (0.001 5±0.021 0, 0.874±0.132, 0.298±0.125, 5.866±0.132, 3.742±0.237, 7.236±0.321, 6.324±0.242 and 4.513±0.211) ( P<0.05, 0.01). The expression levels of MHC molecule-related genes in the high-risk group were also higher than those in the low-risk group ( P<0.05, 0.01), while the infiltration levels of resting mast cells, activated natural killer cells, and resting natural killer cells (0.043 2±0.135 0, 0.032 1±0.143 0 and 0.016 3±0.001 9) and the TIDE score (0.072 0±0.018 0) in the high-risk group were lower than those in the low-risk group (0.054 9±0.023 0, 0.042 7±0.017 0, 0.024 6±0.021 2 and 0.094 0±0.013 5) ( P<0.05, 0.01). The top five genes with the highest mutation frequency in the high-risk group were tumor protein P53 ( TP53, 43%), titin ( TTN, 21%), catenin beta 1 ( CTNNB1, 20%), mucin 16 ( MUC16, 18%) and piccolo presynaptic cytomatrix protein ( PCLO, 11%). The top five genes with the highest mutation frequency in the low-risk group were CTNNB1 (30%), TTN (24%), albumin ( ALB, 16%), MUC16 (15%) and PCLO (11%). The cube protein and PCLO showed the co-occurrence of gene mutations in the high-risk group, while MUC16 and axis 1 protein showed the co-occurrence of gene mutations in the low-risk group. There was no significant difference in tumor mutation burden (TMB) between the high-risk group (1.374±0.026) and the low-risk group (1.303±0.081) ( P=0.073). There was no significant difference in survival time between the high-TMB group (2.3 years) and the low-TMB group (3.8 years) ( P=0.293). The mutation rates of AURKA, G6PD, ACACA, GABARAPL1 and ARRDC3 genes (2.0%, 2.0%, 4.0%, 0.3% and 0.6%) were relatively low. The relative expression levels of Aurka, Acaca and Arrdc3 mRNA in Hepa1-6 cells (13.331±0.000, 6.619±0.000 and 1.209±0.002) were higher than those in mouse primary hepatocytes (1.000±0.000, 1.000±0.000 and 1.000±0.000) (all P<0.01). The relative expression levels of AURKA, ACACA and ARRDC3 mRNA in tumor tissues of patients with hepatocellular carcinoma (2.102±0.365, 2.476±0.351 and 11.460±9.189) were higher than those in adjacent normal tissues of patients with hepatocellular carcinoma (1.122±0.648, 0.831±0.935 and 0.852±0.171) ( P<0.05, 0.01). Conclusions:This study constructed a prognostic signature comprising five ferroptosis-related genes ( AURKA, G6PD, ACACA, GABARAPL1, and ARRDC3) that is highly correlated with clinical hepatocellular carcinoma data. This study highlights the significance of ferroptosis-related genes as prognostic markers for hepatocellular carcinoma and provides insights into the complex relationship between hepatocellular carcinoma, ferroptosis, and the immune microenvironment.