ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To explore the causal relationship between inflammatory protein markers and the risk of colorectal cancer using a Mendelian randomization(MR)approach.Methods We obtained data pertaining to colorectal cancer from Genome-Wide Association Study(GWAS)datasets and used 91 inflammatory protein markers as the exposure variables.A two-sample MR analysis model was used to assess the causal link between the inflammatory markers and colorectal cancer risk.The robustness of the results was evaluated through heterogeneity,pleiotropy,and sensitivity analyses using 5 MR models:Inverse Variance Weighted(IVW),Weighted Median,MR Egger,Simple Mode,and Weighted Mode.We examined the mRNA expressions of PD-L1,AXIN1,and β-NGF using RT-qPCR in 86 untreated patients with colorectal adenocarcinoma admitted in Nanfang Hospital between December,2021 and December 2023,and analyzed their correlation with the clinical characteristics of the patients.Results Using the IVW model,MR analysis revealed significant causal associations between a reduced risk of colorectal cancer and lowered expressions of AXIN1(OR=0.866,95%CI:0.754-0.994,P=0.040),β-NGF(OR=0.914,95%CI:0.843-0.990,P=0.028;OR=0.884,95%CI:0.784-0.998,P=0.047 using Weighted Median model),and PD-L1(OR=0.903,95%CI:0.824-0.989,P=0.028).No significant heterogeneity or pleiotropy was observed,indicating good stability of the results.Sensitivity analysis confirmed the reliability of the findings.The clinical study demonstrated a significant correlation between PD-L1 expression and TNM staging,particularly in stage IV patients(P=0.007).AXIN1 and β-NGF expression levels were significantly correlated with the degree of tumor differentiation,and their expressions were higher in poorly differentiated samples(P<0.001).Conclusion Lowered expressions of inflammatory protein markers AXIN1,β-NGF,and PD-L1 are causally correlated with a reduced risk of colorectal cancer and their expression levels are associated with TNM staging and tumor differentiation.These markers may thus serve as potential targets for colorectal cancer treatment and prevention.

Objective To explore the causal relationship between inflammatory protein markers and the risk of colorectal cancer using a Mendelian randomization(MR)approach.Methods We obtained data pertaining to colorectal cancer from Genome-Wide Association Study(GWAS)datasets and used 91 inflammatory protein markers as the exposure variables.A two-sample MR analysis model was used to assess the causal link between the inflammatory markers and colorectal cancer risk.The robustness of the results was evaluated through heterogeneity,pleiotropy,and sensitivity analyses using 5 MR models:Inverse Variance Weighted(IVW),Weighted Median,MR Egger,Simple Mode,and Weighted Mode.We examined the mRNA expressions of PD-L1,AXIN1,and β-NGF using RT-qPCR in 86 untreated patients with colorectal adenocarcinoma admitted in Nanfang Hospital between December,2021 and December 2023,and analyzed their correlation with the clinical characteristics of the patients.Results Using the IVW model,MR analysis revealed significant causal associations between a reduced risk of colorectal cancer and lowered expressions of AXIN1(OR=0.866,95%CI:0.754-0.994,P=0.040),β-NGF(OR=0.914,95%CI:0.843-0.990,P=0.028;OR=0.884,95%CI:0.784-0.998,P=0.047 using Weighted Median model),and PD-L1(OR=0.903,95%CI:0.824-0.989,P=0.028).No significant heterogeneity or pleiotropy was observed,indicating good stability of the results.Sensitivity analysis confirmed the reliability of the findings.The clinical study demonstrated a significant correlation between PD-L1 expression and TNM staging,particularly in stage IV patients(P=0.007).AXIN1 and β-NGF expression levels were significantly correlated with the degree of tumor differentiation,and their expressions were higher in poorly differentiated samples(P<0.001).Conclusion Lowered expressions of inflammatory protein markers AXIN1,β-NGF,and PD-L1 are causally correlated with a reduced risk of colorectal cancer and their expression levels are associated with TNM staging and tumor differentiation.These markers may thus serve as potential targets for colorectal cancer treatment and prevention.

Objective To explore the characteristics of myocardial injury in patients with acute myocardial infarction(AMI)complicated by pleural effusion and its effect on long-term prognosis.Methods It was a prospective single-center study.Patients with AMI who were admitted to hospital within 15 days from symptom onset and performed echocardiography and cardiac magnetic resonance imaging(CMR)during hospitalization were consecutively enrolled and assigned to the with-pleural effusion group and the without-pleural effusion group according to the echocardiography result.Baseline data,cardiac magnetic resonance myocardial injury index and echocardiography characteristics were compared between the two groups.The occurrence of major adverse cardiovascular and cerebrovascular events(MACCE)was recorded through outpatient follow-up and telephone follow-up,including all-cause death,re-infarction,revascularization,rehospitalization for congestive heart failure and stroke.Cox regression analysis was performed to analyze influencing factors of all-cause death.Results Among 211 patients,31(14.7%)patients had pleural effusion and 180(85.3%)had no pleural effusion.Compared with the group without pleural effusion,the left ventricular end-diastolic diameter was larger,and left ventricular ejection fraction assessed by echocardiography was lower in the group with pleural effusion(P＜0.05).There were no significant differences in infarct size,left ventricular end-diastolic volume,left ventricular end-systolic volume,left ventricular ejection fraction and the presence of microvascular obstruction and intramyocardial hemorrhage between the two groups in CMR(all P＞0.05).At a median follow-up of 31 months,MACCE occurred in 43(20.4%)patients,and there was no significant difference between the two groups(χ2=3.160,P=0.075).Six cases(2.8%)had all-cause death.The incidence of all-cause death was higher in the group with pleural effusion than that in the group without pleural effusion(9.7%vs.1.7%,P<0.05).There was no significant difference in the incidence of other adverse events between the two groups(P＞0.05).Multivariate Cox regression analysis showed that advanced age and presence of pleural effusion were independent risk factors of all-cause death during follow-up.Conclusion Patients with AMI combined with pleural effusion have more severe myocardial injury and higher all-cause mortality.

Male ; Humans ; Liquid Chromatography-Mass Spectrometry ; Chromatography, Liquid ; Tandem Mass Spectrometry ; Varicocele/diagnosis* ; Biomarkers

Objective:To explore the risk factors for malnutrition after a tracheotomy and to construct a predictive model useful for its prevention through early intervention.Methods:Clinical data describing 440 tracheotomy patients were subjected to a retrospective analysis. The variables examined were age, sex, etiology, Glasgow Coma Score (GCS), activities of daily living (ADL) score, age-corrected Charlson comorbidity index (aCCI), food intake, swallowing function, incidence of infections, as well as any history of diabetes mellitus, hypertension, smoking or alcohol consumption. Patients identified as being at risk of malnutrition (NRS-2002≥3) were screened using the Nutritional Risk Screening tool (NRS-2002) and the European Society of Clinical Nutrition and Metabolism′s ESPEN2015 criteria. The subjects were thus categorized into a malnutrition group of 343 and a control group of 97. Unifactorial and multifactorial logistic regression analyses were performed, and stepwise regression was applied to include the factors found significant in the unifactorial analysis into the multifactorial logistic regression analysis, and to construct a column-line graph prediction model. The clinical utility of the model was assessed by applying the receiver operator characteristics (ROC) curves, calibration plots and decision curve analysis (DCA).Results:Of the 440 persons studied, 343 (78%) were malnourished. The multivariate logistic regression analysis showed that pulmonary infection, dysphagia, low GCS score and high aCCI score were significant risk factors for malnutrition after a tracheotomy. A prediction nomograph was constructed. After fitting and correcting, the area under the curve (AUC) of the prediction model′s ROC curve was 0.911, the specificity was 80.4%, and the sensitivity was 91.3%. That was significantly higher than the AUCs for pulmonary infection (0.809), dysphagia (0.697), aCCI (0.721) and GCS (0.802). Bootstrap self-sampling was used to verify the model internally. After 1000 samples the average absolute error between the predicted risk and the actual risk was 0.013, indicating good prediction ability. The DCA results demonstrated that the model has substantial clinical applicability across a range of nutritional interventions, particularly for threshold probability values ranging from 0 to 0.96.Conclusion:Pulmonary infection, dysphagia, low GCS score, and high aCCI score are risk factors for malnutrition among tracheotomy patients. The nomogram model constructed in this study has good predictive value for the occurrence of malnutrition among such patients.