PURPOSE: Early mortality in major trauma has decreased, but MODS remains a leading cause of poor outcomes, driven by trauma-induced cytokine storms that exacerbate injuries and organ damage. METHODS: This prospective cohort study included 79 major trauma patients (ISS >15) treated in the National Center for Trauma Medicine, Peking University People's Hospital, from September 1, 2021, to July 31, 2023. Patients (1) with ISS >15 (according to AIS 2015), (2) aged 15-80 years, (3) admitted within 6 h of injury, (4) having no prior treatment before admission, were included. Exclusion criteria were (1) GCS score <9 or AIS score ≥3 for TBI, (2) confirmed infection, infectious disease, or high infection risk, (3) pregnancy, (4) severe primary diseases affecting survival, (5) recent use of immunosuppressive or cytotoxic drugs within the past 6 months, (6) psychiatric patients, (7) participation in other clinical trials within the past 30 days, (8) patients with incomplete data or missing blood samples. Admission serum inflammatory cytokines and pathophysiological data were analyzed to develop machine learning models predicting MODS within 7 days. LR, DR, RF, SVM, NB, and XGBoost were evaluated based on the area under the AUROC. The SHAP method was used to interpret results. RESULTS: This study enrolled 79 patients with major trauma, and the median (Q₁, Q₃) age was 51 (35, 59) years (52 males, 65.8%). The inflammatory cytokine data were collected for all participants. Among these patients, 35 (44.3%) developed MODS, and 44 (55.7%) did not. Additionally, 2 patients (2.5%) from the MODS group succumbed. The logistic regression model showed strong performance in predicting MODS. Ten key cytokines, IL-18, Eotaxin, MCP-4, IP-10, CXCL12, MIP-3α, MCP-1, IL-1RA, Cystatin C, and MRP8/14 were identified as critical to the trauma-induced cytokine storm and MODS development. Early elevation of these cytokines achieved high predictive accuracy, with an AUROC of 0.887 (95% CI 0.813-0.976). CONCLUSION Trauma-induced cytokine storms are strongly associated with MODS. Early identification of inflammatory cytokine changes enables better prediction and timely interventions to improve outcomes.
Humans ; Prospective Studies ; Middle Aged ; Male ; Female ; Adult ; Aged ; Cytokine Release Syndrome/etiology* ; Adolescent ; Young Adult ; Aged, 80 and over ; Wounds and Injuries/complications* ; Cytokines/blood* ; Multiple Organ Failure/diagnosis* ; Machine Learning

The 2024 World Conference on Lung Cancer (WCLC) and the European Society for Medical Oncology (ESMO) Annual Meeting, two of the most prestigious events in oncology, have concluded sequentially. As the most authoritative annual gatherings in lung cancer and the entire oncology field, the WCLC and ESMO conferences brought together top oncology experts and scientists from around the world to share, discuss, and publish the latest cutting-edge advancements in oncology. In both conferences, lung cancer immunotherapy remained a hot topic of considerable interest. This article aims to summarize and discuss the important research progress on perioperative immunotherapy for non-small cell lung cancer reported at the two conferences.

The 2025 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held from January 23 to 25, 2025. Several significant studies on the treatment of esophageal and gastroesophageal junction (GEJ) cancer were presented at the symposium, highlighting notable advances, particularly in the perioperative and advanced settings. Immunotherapy has demonstrated significant promise in the neoadjuvant treatment of esophageal cancer, showing potential to become a standard treatment. Furthermore, the long-term survival benefits of combining immunotherapy with chemotherapy for advanced GEJ cancer were further validated. This article summarizes and interprets the researches presented at the symposium concerning perioperative and advanced treatments for esophageal and GEJ cancers.

OBJECTIVES: To explore the therapeutic mechanism of Flos Sophorae (FS) for treatment of psoriasis. METHODS: The active ingredients, targets and psoriasis-related disease targets of FS were obtained from TCMSP, GeneCards, OMIM, DisGeNET and String databases, and Cytoscape 3.8.0 software was used to construct the "FS -active ingredient-key target-signaling pathway-psoriasis" network. GO and KEGG enrichment analyses of the key targets were conducted, and molecular docking was performed using Discovery Studio 2019. In a BALB/c mouse model of imiquimod-induced psoriasis, the effects of vaseline, FS at high, medium and low doses (3.00, 1.50 and 0.75 g/kg, respectively) and a positive drug, given 1 week before and during modeling, were evaluated on body weight changes, spleen coefficient, psoriasis area and severity index (PASI) score and skin pathological changes. Phosphorylation levels of PI3K and AKT proteins were detected using immunohistochemistry and Western blotting. RESULTS: A total of 10 active components and 110 key targets were screened. GO and KEGG pathway enrichment analysis suggested that FS improved psoriasis primarily through the PI3K/AKT, TNF, and IL-17 signaling pathways. Molecular docking showed that both quercetin and kaempferol could spontaneously bind to AKT1, TNF and other sites. In the mouse model of psoriasis, treatment with low-dose FS significantly improved epidermal thickening, increased body weight, lowered PASI score, and reduced phosphorylation levels of PI3K and AKT proteins. CONCLUSIONS The therapeutic mechanism of FS for psoriasis involves multiple components, targets, and pathways that mediate the inhibition of the phosphorylation levels of PI3K and AKT proteins to suppress the activation of the PI3K/AKT signaling pathway.
Animals ; Psoriasis/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Mice ; Signal Transduction/drug effects* ; Mice, Inbred BALB C ; Phosphatidylinositol 3-Kinases/metabolism* ; Molecular Docking Simulation ; Disease Models, Animal ; Drugs, Chinese Herbal/therapeutic use* ; Imiquimod ; Phosphorylation

The 2024 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held in San Francisco, the USA from January 18th to 20th, 2024 (local time). The multiple studies presented in this symposium will have a significant impact on the clinical practice of esophageal cancer. This article will focus on the surgical methods of esophageal cancer, perioperative immunotherapy, drug therapy for advanced esophageal cancer, rescue treatment after immunotherapy resistance, and other relevant aspects. It aims to summarize and interpret the significant advancements in the field of esophageal cancer presented in this symposium.

Surgery is an important treatment for the anterior mediastinal disease. With the rapid development of minimally invasive techniques, complete resection of the lesion in most patients with thymic disease can be achieved through thoracoscopic surgery. Practice has proved that the three-port resection of anterior mediastinal thymus disease via the subxiphoid approach is an ideal surgical method for the treatment of anterior mediastinal thymic tumors at present, which has strong popularization and popularity and can benefit the patients. The procedure focuses primarily on the anterior and upper mediastinum and can thoroughly expose the anatomy of the mediastinum and both sides, with minimal intraoperative bleeding, high safety, minimal trauma and postoperative pain, and a short hospital stay. It has clear advantages over conventional thoracic open-heart surgery and transversal resection. However, the surgical approach and field of view, and intraoperative precautions of this procedure are completely different from those of previous thoracoscopic procedures, and from the subxiphoid single-port approach adopted by other centers. Based on 10 years of surgical experience at our center, a modular mode of surgical operation has been developed and its procedure has been standardized. This paper will share and discuss relevant operational points and experiences.

Objective To investigate the effect of standardized lymph node sorting on postoperative results of gas-troesophageal junction malignant tumors.Methods The data of all patients with malignant gastroesophageal junc-tion in gastric cancer database were analyzed retrospectively.Lymph nodes were sorted according to whether sur-geons were present immediately after surgery.Patients were divided into lymph node sorting group(sorting group)and lymph node unsorting group(unsorting group).General data included gender,age,body mass index(BMI),carcinogenic antigen(CEA),postoperative albumin level,preoperative hemoglobin,etc.Perioperative and patho-logical data included operation time,intraoperative blood loss,postoperative hospital stay,tumor differentiation,distance from superior incisal margin,total number of lymph nodes,number of positive lymph nodes,etc.Kaplan-Meier curve and Log-rank test were used for survival analysis,and propensity score matching analysis adjusted for confounding factors between groups.Results A total of 386 patients were included,including 133 in lymph node sorting group and 253 in non-sorting group.The median follow-up time was 40.18 months.The total number of lymph nodes and the number of positive lymph nodes in the sorting group were(26.38±12.18)and(6.63±10.14),respectively,while the total number and the number of positive lymph nodes in the non-sorting group were(12.25±7.06)and(3.07±3.77),respectively.There were statistically significant differences in the total num-ber of lymph nodes and the number of positive lymph nodes between the sorting group and the non-sorting group(P＜0.05).There was no statistically significant difference in survival between the sorting group and the non-sorting group before matching.There were 112 and 203 patients with advanced gastric cancer in the two groups,respec-tively.The overall survival curve of patients in the sorting group was better than that in the non-sorting group,and the difference in median survival time was statistically significant(P＜0.05).The caliper value was set to 0.02,and 94 pairs of patients were preferentially matched.After matching,the total number of lymph nodes and the num-ber of positive lymph nodes in the sorting group were(24.71±12.03)and(5.70±9.95),respectively,while the total number and the number of positive lymph nodes in the non-sorting group were(13.05±7.63)and(3.37±4.32),respectively.The difference between the two groups was statistically significant(P＜0.05).The overall survival curve of patients in the sorting group was better than that in the non-sorting group,and the median survival time was statistically significant(P＜0.05).Conclusion Postoperative lymph node sorting for gastric cancer can significantly increase the number of total lymph nodes and positive lymph nodes,reduce lymph node migration,and improve postoperative survival time.

Irritable bowel syndrome(IBS)is one of the most common functional gastrointestinal disorders,of which diarrhea-predominant IBS(IBS-D)accounts for the largest proportion.The pathogenesis of IBS-D is complicated and diverse,and there is currently a lack of clinically effective drugs.The establishment of animal models is an essential tool for further studies of the disease mechanisms,evaluation of clinical efficacy,and drug development,and the preparation and evaluation standards of models are important factors affecting the quality of the research.Based on the currently accepted pathogenesis of IBS-D and the previous modeling experience of our research group,this review systematically summarizes the evaluation method used in animal models of IBS-D in terms of diarrhea observation,visceral sensitivity tests,and intestinal motility tests,to provide a reference for future studies.

Objective:To investigate the current comorbidity status among hypertension, diabetes, and dyslipidemia in residents aged 35-75 years in Tianjin and to explore the main influencing factors to provide a scientific basis for the prevention and treatment of chronic disease comorbidity.Methods:From June 2019 to November 2023, 10 districts (Hedong, Hexi, Dongli, Beichen, Nankai, Xiqing, Wuqing, Baodi, Jizhou, and Binhai New District) in Tianjin were selected as the project sites. The community and natural village was used as the primary sampling unit, and each project site selected the screening sites by cluster random sampling method. Residents aged 35-75 who lived in the screening sites for 6 months and above were surveyed by questionnaire, physical examination, and biochemical tests. The chi-square test, analysis of variance, and multivariate unconditional logistic regression analysis were used for statistical analysis. Age-standardized prevalence was based on the data of the sixth national census.Results:A total of 146 832 participants were included in this study, including 61 994 males (42.22%) and 84 838 females (57.78%), with an age of (56.83±8.84) years. The number of people with only one disease was 55 485 (37.79%), the number of people with two diseases was 36 942 (25.16%), and the number of people with three diseases was 9 683 (6.59%). The prevalence of hypertension combined with dyslipidemia was the highest (17.23%), and the standardized prevalence were 14.44%. The prevalence rates of three diseases and hypertension combined with diabetes was 6.59% and 4.98%, respectively, and the standardized prevalence was 5.42% and 4.11%, respectively. The prevalence of diabetes combined with dyslipidemia was 2.95%, and the standardized prevalence was 2.45%. Multivariate unconditional logistic regression analysis showed that advanced age (65- 75 years old: OR=2.69, 95% CI: 2.28-3.18), overweight/obesity (overweight: OR=2.21, 95% CI: 2.02-2.41; obesity: OR=4.50, 95% CI: 4.03-5.02), daily smoking ( OR=1.96, 95% CI: 1.72-2.24), regular and heavy drinking ( OR=1.63, 95% CI: 1.18-2.27), family history of hypertension/diabetes/hyperlipidemia (family history of hypertension: OR=81.17, 95% CI: 74.68-88.22; family history of diabetes: OR=15.26, 95% CI: 13.71-16.99; family history of hyperlipidemia: OR=7.13, 95% CI: 5.92-8.59), tea drinking (occasional tea drinking group: OR=1.74, 95% CI: 1.52-2.00; frequent tea drinking group: OR=2.23, 95% CI: 1.92-2.59) were risk factors for the comorbidity of hypertension, diabetes and dyslipidemia (all P<0.05), while higher education level was a protective factor (senior high school/technical secondary school: OR=0.79, 95% CI: 0.72-0.86; college/bachelor's degree and above: OR=0.60, 95% CI: 0.53-0.68, all P<0.001). Conclusions:The comorbidity rate of hypertension, diabetes, and dyslipidemia is high in residents aged 35-75 years in Tianjin. It is necessary to strengthen the co-management of blood pressure, blood glucose, and blood lipid in key populations with old age, overweight/obesity, junior high school education or below, daily smoking, daily drinking, occasional or frequent tea drinking, and family history of hypertension/diabetes/dyslipidemia, and promote a healthy lifestyle.

Objective The MMV-Net,a deep learning framework based on mammogram multiple views,was constructed to evaluate the classification performance of the model for benign and malignant masses.Methods A retrospective analysis was conduc-ted on a dataset of 1 585 breast X-ray images from Harbin Medical University Cancer Hospital from 2018 to 2020,including 806 be-nign cases and 779 malignant cases.The dataset was divided into the training set(n=1268)and the test set(n=317)according to an 8∶2 ratios,and the training set was stratified according to the 5-fold cross validation.The integrated DDSM dataset and INBreast dataset were used as external test sets(n=1645)to evaluate the model performance.Each case in the input layer contained 4 views.The MMV-Net model was constructed by removing the last two layers of the ResNet22 network structure and adding an average poo-ling layer as the feature extraction layer,as well as fully connection layer and softmax activation function as the decision layers.Bayes-ian hyperparameter optimization was used.The performance of MMV-Net,MFA Net,and ensemble inception V4 models in AUC val-ues,accuracy,precision,recall and F1 scores were compared.Results The AUC values of MMV-Net model for distinguishing benign and malignant masses on the test set were 0.913,0.882 for MFA-Net,and 0.865 for inception V4.The accuracy and precision evalu-ation metrics of the MMV-Net model were also higher than the other two models.Conclusion The deep learning MMV-Net model based on multiple views of mammogram is helpful for the classification of benign and malignant breast masses.