Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Method...Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Methods We retrieved data from sepsis patients who underwent Th1/Th2 cytokine testing in Nanfang Hospital,Southern Medical University from June 1,2020,to February 1,2022.An unsupervised K-means clustering method classified participants based on Th1/Th2 cytokine levels,with the primary outcome being the 7-day mortality rate post-ICU admission.Cox proportional hazards and Restricted Mean Survival Time(RMST)analyses were utilized to explore survival outcomes.Results A total of 321 sepsis patients were included.IL-6(HR 1.69,95%CI:1.22,2.34)and IL-10(HR 1.81,95%CI:1.37,2.40)emerged as independent predictors of 7-day mortality.Unsupervised K-means clustering revealed 3 inflammatory/immune subgroups:Cluster 1(n=166,low inflammatory response),Cluster 2(n=99,moderate inflammatory response with immune suppression),and Cluster 3(n=56,strong inflammatory and immune suppression).Compared to Cluster 1,Clusters 2 and 3 had higher 7-day mortality risks(14.4%vs 23.2%,HR=4.30,95%CI:1.51-12.26;14.4%vs 35.7%,HR=7.32,95%CI:2.57-20.79).Conclusion Septic patients in a protective immune response state(Cluster 1)exhibit better short-term prognoses,suggesting the importance of understanding inflammatory/immune states for precise treatment and improved outcomes.展开更多
Pancreatic Ductal Adenocarcinoma(PDAC)is one of the most lethal human malignancies with poor survival outcome.It is characterized by late diagnosis,rapid growth and limited therapeutic choices.Increasing evidence has ...Pancreatic Ductal Adenocarcinoma(PDAC)is one of the most lethal human malignancies with poor survival outcome.It is characterized by late diagnosis,rapid growth and limited therapeutic choices.Increasing evidence has suggested that gene expression may undergo extensive changes during the process of normal cells to malignant transformation which may play a critical role in the initiation and progression of human PDAC.In this study,we applied single-cell RNA sequencing(scRNA-seq)technology to comprehensively compared the Peripheral Blood Mononuclear Cells(PBMCs)and tissue samples from pancreatic ductal adenocarcinoma patients and normal individuals.We characterized transcriptional heterogeneity and identified differentially expressed genes as well as the changes of immune microenvironment between PDAC and normal individuals through integrative bioinformatic analysis.We believe that our results will provide new insights into the cellular and molecular characterization of PDAC and may provide potential implications for future therapeutic approaches and biomarker discoveries.展开更多
文摘Objective Sepsis patients exhibit diverse immune states,making it crucial to identify subtypes with distinct inflammatory profiles through Th1/Th2 cytokine data for personalized treatment and improved prognosis.Methods We retrieved data from sepsis patients who underwent Th1/Th2 cytokine testing in Nanfang Hospital,Southern Medical University from June 1,2020,to February 1,2022.An unsupervised K-means clustering method classified participants based on Th1/Th2 cytokine levels,with the primary outcome being the 7-day mortality rate post-ICU admission.Cox proportional hazards and Restricted Mean Survival Time(RMST)analyses were utilized to explore survival outcomes.Results A total of 321 sepsis patients were included.IL-6(HR 1.69,95%CI:1.22,2.34)and IL-10(HR 1.81,95%CI:1.37,2.40)emerged as independent predictors of 7-day mortality.Unsupervised K-means clustering revealed 3 inflammatory/immune subgroups:Cluster 1(n=166,low inflammatory response),Cluster 2(n=99,moderate inflammatory response with immune suppression),and Cluster 3(n=56,strong inflammatory and immune suppression).Compared to Cluster 1,Clusters 2 and 3 had higher 7-day mortality risks(14.4%vs 23.2%,HR=4.30,95%CI:1.51-12.26;14.4%vs 35.7%,HR=7.32,95%CI:2.57-20.79).Conclusion Septic patients in a protective immune response state(Cluster 1)exhibit better short-term prognoses,suggesting the importance of understanding inflammatory/immune states for precise treatment and improved outcomes.
文摘Pancreatic Ductal Adenocarcinoma(PDAC)is one of the most lethal human malignancies with poor survival outcome.It is characterized by late diagnosis,rapid growth and limited therapeutic choices.Increasing evidence has suggested that gene expression may undergo extensive changes during the process of normal cells to malignant transformation which may play a critical role in the initiation and progression of human PDAC.In this study,we applied single-cell RNA sequencing(scRNA-seq)technology to comprehensively compared the Peripheral Blood Mononuclear Cells(PBMCs)and tissue samples from pancreatic ductal adenocarcinoma patients and normal individuals.We characterized transcriptional heterogeneity and identified differentially expressed genes as well as the changes of immune microenvironment between PDAC and normal individuals through integrative bioinformatic analysis.We believe that our results will provide new insights into the cellular and molecular characterization of PDAC and may provide potential implications for future therapeutic approaches and biomarker discoveries.
