![]() ![]() Gram-negative sepsis differs from Gram-positive sepsis in that the organisms often arise from enteric or genitourinary sources rather than skin, wounds, and catheter sites ( Martin, 2012). The initiating factor of Gram-negative bacterial sepsis is endotoxin, while Gram-positive bacterial sepsis relies on the production of exotoxin ( Ramachandran, 2014). However, the pathophysiological mechanisms and host responses to sepsis have not been clearly elucidated, which hindered the development of new therapeutic approaches.Īlthough organs damaged by Gram-positive sepsis are clinically no different from Gram-negative sepsis, there is increasing evidence that differences exist in the host response ( Li et al., 2017). The early phase of sepsis is characterized by systemic excessive inflammation followed by a prolonged period of sepsis-induced immunosuppression ( Delano and Ward, 2016). It is now defined as infection accompanied by organ dysfunction resulting from dysregulated host responses ( Singer et al., 2016). Sepsis is a potentially life-threatening condition caused mainly by bacterial infection, with high morbidity and mortality. The findings offer new insight to investigate the pathophysiology of bacterial sepsis. The result was also verified by analysis of the validation set GSE13015, and 40 common differential gene sets were identified between dataset GSE13015 and dataset GSE6535 by GSEA.Ĭonclusions: The identified differential gene sets indicated that host response may differ dramatically depending on the inciting organism. ![]() A total of 19 gene sets were obtained in GSE6535 through Venn analysis based on GSVA and GSEA, which revealed the heterogeneity of Gram-negative and Gram-positive sepsis at the molecular level. Results: Two immunological gene sets in GSE6535 were identified based on GSVA, which could be used to discriminate sepsis caused by Gram-positive, Gram-negative, or mixed infection. Finally, the common gene sets between GSE6535 and GSE13015 were determined by GSEA. The intersection gene sets based on the two algorithms were confirmed through Venn analysis. ![]() The distinct gene sets of sepsis with different infections were screened using gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA). Methods: The training dataset GSE6535 and the validation dataset GSE13015 were used for bioinformatics analysis. ![]() The current study aimed to explore the difference by identifying the differential gene sets using the genome-wide technique. However, newer paradigms indicated that the host response of Gram-negative sepsis may be different from Gram-positive sepsis, and the difference has not been clearly clarified. 4Department of General Surgery, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Chinaīackground: The host response to bacterial sepsis is reported to be nonspecific regardless of the causative pathogen.3Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou, China.2Department of Laboratory Medicine, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.1Department of General Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.Qingliang Wang 1† Xiaojie Li 2† Wenting Tang 3 Xiaoling Guan 2 Zhiyong Xiong 1 Yong Zhu 4 Jiao Gong 2* Bo Hu 2* ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |