Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.

ObjectiveTo investigate the level of hepatitis B surface antibody (anti-HBs) among preschool children (aged 3‒6 years) and primary and secondary school students in Tonglu County, Zhejiang Province, to evaluate the effectiveness of hepatitis B vaccination, and to provide a basis for hepatitis B prevention and control in the region. MethodsAs part of the 2023 Tonglu County Urban and Rural Residents Health Examination Program, blood samples were collected during health check-ups. Fingertip blood samples were obtained from preschool children, while venous blood samples were collected from primary and secondary school children. The anti-HBs levels in blood (positive + / negative -) were qualitatively tested using hepatitis B surface antibody test kits (latex method). The differences in anti-HBs positivity rates among different age groups were analyzed. ResultsBetween April 1, 2023 and June 30, 2023, a total of 52 919 individuals were surveyed, including 11 973 preschool children and 40 946 primary and secondary school students. The overall anti-HBs positivity rate was 39.74%, with the highest positivity rate observed among preschool children (60.20%). Age was negatively correlated with the anti-HBs positivity rate (P<0.001). No significant gender differences in anti-HBs positivity rates were observed. The anti-HBs positive rate in rural areas was higher than that in urban areas, with statistically significant differences across school grade groups (primary grades 1‒3, grades 4‒6, middle school, and high school) (P<0.001). ConclusionThe anti-HBs positivity rate among preschool and school-age children in Tonglu County decreases with age and remains relatively low. It is recommended to strengthen the monitoring of hepatitis B antibody levels and promote health education among preschool and school-age children. Children who have not completed the full hepatitis B vaccination should receive timely catch-up vaccination.

[Objective] To investigate the non-pathological influencing factors of the unqualified alanine aminotransferase (ALT) in the initial screening of blood donors in Changchun and the laboratory re-examination, so as to provide evidence for reducing the deferral of blood donors and the discarding of blood due to ALT disqualification. [Methods] The unqualified results of ALT from the laboratory of our center from September 1, 2023 to October 31, 2024 were collected. The unqualified rates of ALT were statistically analyzed according to the blood collection sites and the initial screening detection equipment. The samples after ALT pre-donation screening were tested in the laborator, and the unqualified rates of ALT in the initial screening and the laboratory, the non-conformity rate of the results and the distribution range of ALT values were statistically analyzed according to the blood collection sites and the initial screening detection equipment. A questionnaire survey was conducted on the blood donors before blood collection to statistically analyze the influence of the blood donors' living habits and diet on ALT test results. [Results] The statistical analysis of the unqualified rate of ALT in the laboratory showed statistically significant differences in the ALT disqualification rates among different blood collection sites and different initial screening detection devices (P<0.05). Comparison of the ALT unqualified rate for the same type of equipment at different sites showed that for Equipment 1, there were differences between the combined blood collection house and the whole blood house, and between the combined blood collection house and the blood donation vehicle (P<0.05); for Equipment 2, there were differences between the combined blood collection house and the blood donation vehicle, and between the whole blood house and the blood donation vehicle (P<0.05); there were no significant differences among other groups with the same equipment. The initial screening and the laboratory test results for the same samples were compared, with unqualified rates of ALT of 16.29% and 13.01%, respectively. There were statistically significant differences in the unqualified rates of ALT among different blood collection sites (P<0.05), but no significant differences in the ALT test results among different detection equipment (P>0.05).. The non-conformity rate between the initial screening and the laboratory results was 5.26%, of which 81.15% (99/122) were unqualified in the initial screening but qualified in the laboratory. There were statistically significant differences in those unqualified in the initial screening but qualified in the laboratory among different blood collection sites and different detection equipment (P<0.05). The median ALT level in the initial screening was 29.0 U/L (with a 5%-95% range of 14-75 U/L), and the median ALT level in the laboratory was 19 U/L (with a 5%-95% range of 8-65 U/L). The results of the questionnaire survey showed that 33.3% (2/6) of those who consumed alcohol within 24 hours before blood donation had unqualified ALT, and 10% (1/10) of those who stayed up late the night before blood donation had unqualified ALT. [Conclusion] The unqualified rates of ALT in the initial screening before blood collection and the laboratory re-examination of blood donors in Changchun are closely related to the blood collection sites, detection equipment, detection environment, detection personnel, samples, ALT thresholds and detection time. Drinking alcohol and staying up late within 24 hours before blood donation increase the risk of unqualified ALT detection.

ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R² of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.

ObjectiveThis study aims to investigate the therapeutic effects of Wenweishu granule （WWSG） on functional dyspepsia （FD） with spleen-stomach deficiency cold syndrome in rats by integrating network pharmacology， molecular docking， and animal experiments. MethodsActive components and corresponding targets of WWSG were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine （BATMAN-TCM）. Disease-related targets for FD with spleen-stomach deficiency cold syndrome were screened using GeneCards and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）. Core therapeutic targets were identified via Cytoscape and validated by molecular docking. A rat model of FD with spleen-stomach deficiency cold syndrome was established using vinegar gavage combined with tail-clamping. The rats were randomly divided into a model group， low-， medium-， and high-dose WWSG groups （2.0， 4.0， 8.0 g·kg^-1）， a domperidone group （3.0 mg·kg^-1）， a Fuzi Lizhong pillwan （0.8 g·kg^-1）， and a normal control group （n=10 per group）. Drugs were administered once daily by gavage for 14 consecutive days. After treatment， body weight， symptom scores， and gastrointestinal motility indices were recorded. Gastric and duodenal pathologies changes were observed via hematoxylin-eosin （HE） staining. Brain-gut peptides were measured in serum and tissue using enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry and Western blot were performed to assess stem cell factor （SCF） and receptor tyrosine kinase （c-Kit） protein expression in gastric tissues. ResultsA total of 305 drug targets， 1 140 disease targets， and 116 overlapping targets were identified. Cytoscape analysis revealed 104 core targets. Enrichment analysis indicated that the SCF/c-Kit signaling pathway was the key mechanism. Molecular docking confirmed a strong binding affinity between active components of WWSG and SCF/c-Kit proteins （binding energy<-5.1 kcal·mol^-1）. Compared with the normal group， model rats exhibited slower weight gain （P<0.05）， reduced gastric emptying and intestinal propulsion （P<0.01）， mild gastric mucosal shedding， duodenal inflammatory cell infiltration， decreased levels of gastrin （GAS）， 5-hydroxytryptamine （5-HT）， and vasoactive intestinal peptide （VIP） （P<0.05， P<0.01）， and elevated somatostatin （SS） expression （P<0.05， P<0.01）. WWSG treatment ameliorated weight gain， symptom scores， and low-grade inflammation in gastric/duodenal tissues. High-dose WWSG significantly improved gastric emptying and intestinal propulsion， upregulated GAS， 5-HT， and VIP， and downregulated SS expression in serum and tissues （P<0.05， P<0.01）. Immunohistochemistry and Western blot demonstrated that SCF and c-Kit protein expression was decreased in the model group （P<0.05， P<0.01）， which was reversed by WWSG intervention （P<0.05）. ConclusionWWSG exerts therapeutic effects on FD with spleen-stomach deficiency cold syndrome in rats， potentially by regulating the SCF/c-Kit signaling pathway to enhance gastrointestinal motility.

Objective: To investigate the health-related quality of life and its influencing factors in elderly patients with metabolic syndrome (MS), so as to provide the evidence for improving health-related quality of life in older adults with chronic diseases. Methods: In 2021, elderly MS patients aged ≥60 years from four districts in Nanjing City were selected as the study subjects using a multi-stage random sampling method. Data on social demographic information, lifestyle, disease history and blood biochemical indicators were collected through questionnaire surveys, physical examination and laboratory tests. Health utility value and EuroQol Visual Analog Scale (EQ-VAS) score were assessed using the EuroQol 5-dimension 3-level questionnaire. Factors affecting health-related quality of life were identified with the Tobit regression model and multiple linear regression model. Results: A total of 3 378 elderly MS patients were included, with a median age of 67.00 (interquartile range, 7.00) years. There were 1 558 males (46.12%) and 1 820 females (53.88%). The median (interquartile range) of health utility value and EQ-VAS score were 1.00 (0.03) and 80.00 (15.00). Tobit regression and multiple linear regression analysis showed that gender (female, β=-0.034), education level (middle school, β=0.024; junior college and above, β=0.046), marital status (married, β=0.014), physical activity (sufficient, β=0.013), vegetable intake (meet standard, β=-0.009) and fruit intake (meet standard, β=0.016) were the influencing factors of health utility value. Residence (urban area, β=1.933) and alcohol consumption (yes, β=1.761) were influencing factors of EQ-VAS score. Age, cardiovascular and cerebrovascular diseases, malignant tumors and chronic respiratory diseases were the influencing factors of health utility value and EQ-VAS score. Conclusion Age, sex, marital status, residence, lifestyle and disease are mainly associatied with the health-related quality of life in elderly MS patients.

ObjectiveTo investigate the effect of Xuanfei Zhisou prescription on the interleukin-17 （IL-17） signaling pathway in model rats with chronic obstructive pulmonary disease （COPD）. MethodA total of 60 Wistar rats were randomly divided into a blank group （10 rats） and a model group （50 rats）， and COPD model rats were established by tracheal infusion of lipopolysaccharide combined with passive fumigation. After modeling， the rats were divided into the model group， dexamethasone group， and high， medium， and low-dose Xuanfei Zhisou prescription groups （3.6， 1.8， 0.9 g·kg^-1·d^-1） according to the random number table. Rats in the blank group and model group were given normal saline of 10 mL·kg^-1·d^-1 by gavage administration， and the intervention groups of Xuanfei Zhisou prescription were given corresponding drugs. Rats in the dexamethasone group were given dexamethasone of 2.57×10^-4 g·kg^-1·d^-1 for 28 days. The level of pulmonary function indexes in rats was measured by a pulmonary function detector. The contents of interleukin-6 （IL-6）， interleukin-8 （IL-8）， IL-17， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） were detected by enzyme-linked immunosorbent assay （ELISA）. The positive expressions of IL-17A， IL-17RA， nuclear factor-κB activator 1 （Act1）， tumor necrosis factor-associated factor 6 （TRAF6）， p-p38 mitogen-activated protein kinase （p-p38 MAPK）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylation were detected by immunohistochemistry （IHC）. The protein expression levels of IL-17A， IL-17RA， Act1， and TRAF6 in the lung tissue were detected by Western blot. The mRNA expressions of IL-17A， IL-17RA， Act1， and TRAF6 in the lung tissue were detected by Real-time polymerase chain reaction （Real-time PCR）. ResultCompared with the blank group， the serum contents of IL-6， IL-8， IL-17， IL-1β， and TNF-α in the model group were significantly increased （P<0.05）， and the flow rate and volume indexes of pulmonary function in the model group were significantly decreased （P<0.05）， while the time indexes and other indexes were significantly increased （P<0.05）. The mRNA and protein expression levels of IL-17A， IL-17RA， Act1， and TRAF6 in pulmonary tissue and the positive expressions of downstream NF-κB p65， p-NF-κB p65， and p-p38 MAPK were increased （P<0.05）. Compared with the model group， the levels of IL-6， IL-8， IL-17， IL-1β， and TNF-α in the serum of all treatment groups were decreased to varying degrees （P<0.05）， and the indexes of pulmonary function were improved to different degrees （P<0.05）. The mRNA and protein levels of IL-17A， IL-17RA， Act1， and TRAF6 and the positive expression of downstream NF-κB p65， p-NF-κB p65， and p-p38 MAPK in high and medium-dose Xuanfei Zhisou prescription groups were significantly decreased （P<0.05）. ConclusionXuanfei Zhisou prescription can effectively resist inflammation of COPD rats. The mechanism may be related to down-regulating the protein expression of IL-17A， IL-17RA， Act1， and TRAF6， inhibiting downstream NF-κB and p38 MAPK signaling pathways， and reducing the release of IL-6， IL-8， TNF-α， IL-17， and IL-1β， thus reducing the airway inflammation response.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.