首页|Second Affiliated Hospital of Guangxi Medical University Reports Findings in Rep erfusion Injury (Bulk and single-cell RNA sequencing analysis with 101 machine l earning combinations reveal neutrophil extracellular trap involvement in hepatic ...)
Second Affiliated Hospital of Guangxi Medical University Reports Findings in Rep erfusion Injury (Bulk and single-cell RNA sequencing analysis with 101 machine l earning combinations reveal neutrophil extracellular trap involvement in hepatic ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cardiovascular Disease s and Conditions - Reperfusion Injury is the subject of a report. According to n ews reporting out of Nanning, People's Republic of China, by NewsRx editors, res earch stated, "Hepatic ischaemia-reperfusion injury (HIRI) is a major clinical c oncern during the perioperative period and is closely associated with early allo graft dysfunction (EAD), acute rejection (AR) and long-term graft survival. Neut rophil extracellular traps (NETs) are extracellular structures formed by the rel ease of decondensed chromatin and granular proteins following neutrophil stimula tion." Our news journalists obtained a quote from the research from the Second Affiliat ed Hospital of Guangxi Medical University, "There is growing evidence that NETs are involved in the progression of various liver transplantation complications, including ischaemia-reperfusion injury (IRI). This study aimed to comprehensivel y analyse the expression patterns of NET-related genes (NRGs) in HIRI, identify HIRI subtypes with distinct characteristics, and develop a reliable EAD predicti on model. Microarray, bulk RNA-seq, and single-cell sequencing datasets were obt ained from the GEO database. Initially, differentially expressed NRGs (DE-NRGs) were identified using differential gene expression analyses. We then utilised a non-negative matrix factorisation (NMF) algorithm to classify HIRI samples. Subs equently, we employed machine learning algorithms to screen the hub NRGs related to EAD and developed an EAD prediction model based on these hub NRGs. Concurren tly, we assessed the expression patterns of hub NRGs at the single-cell level us ing the HIRI. Additionally, we validated C5AR1 expression and its effect on HIRI and NETs formation in a rat orthotopic liver transplantation (OLT) model. In th is study, we identified 11 DE-NRGs in the HIRI context. Based on these 11 DE-NRG s, HIRI samples were classified into two distinct clusters. Cluster1 exhibited a low expression of DE-NRGs, minimal neutrophil infiltration, mild inflammation, and a low incidence of EAD. Conversely, Cluster2 displayed the opposite phenotyp e, with an activated inflammatory subtype and a higher incidence of EAD. Further more, an EAD prediction model was developed using the four hub NRGs associated w ith EAD. Based on risk scores, HIRI samples were classified into high- and low-r isk groups. The OLT model confirmed substantial upregulation of C5AR1 expression in the liver tissue, accompanied by increased formation of NETs. Treatment with a C5AR1 antagonist improved liver function, reduced tissue inflammation, and de creased NETs formation. This study distinguished two apparent HIRI subtypes, est ablished a predictive model for EAD, and validated the effect of C5AR1 on HIRI."
NanningPeople's Republic of ChinaAsi aBlood CellsBlood TransfusionCardiovascular Diseases and ConditionsCybor gsEmerging TechnologiesGeneticsGranulocytesHealth and MedicineHemic an d Immune SystemsImmunologyInflammationIschemiaIschemia-Reperfusion Injur yMachine LearningMedical DevicesNeutrophilsPhagocytesReperfusionRepe rfusion InjuryTransfusion MedicineVascular Diseases and Conditions
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