Zabihi Mohammad Reza, Akhoondian Mohammad, Tamimi Pegah, Ghaderi Aliasghar, Mazhari Seyed Amirhossein, Farhadi Bahar, Karkhah Samad, Ghorbani Vajargah Pooyan, Mobayen Mohammadreza, Norouzkhani Narges, Farzan Ramyar
Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Ann Med Surg (Lond). 2024 Apr 16;86(7):3972-3983. doi: 10.1097/MS9.0000000000002055. eCollection 2024 Jul.
Burn injuries lead to dysregulation of immune molecules, impacting cellular and humoral immune pathways. This study aims to determine the prediction of immune molecule activity during burn wound healing among elderly patients.
The current study utilized the Gene Expression Omnibus (GEO) database to extract the proper gene set. Also, the literature review was conducted in the present study to find immune signatures. The study used the "enrich r" website to identify the biological functions of extracted genes. The critical gene modules related to mortality were identified using the weighted gene co-expression network analysis (WGCNA) R package.
The appreciated GSE was extracted. According to the data, the most upregulated signatures were related to natural killer (NK) cells, and the most downregulated signatures were associated with M1 macrophages. Also, the results of WGCNA have shown that the most related gene modules (<107 and score 0.17) to mortality were investigated, and the modules 100 first genes were extracted. Additionally, the enrich r analysis has demonstrated related pathways, including the immune process, including regulation of histamine secreted from mast cell (<0.05), T helper 17 cell differentiation (<0.05), and autophagy (<0.05) were obtained. Finally, by network analysis, the critical gene "B3GNT5" were obtained (degree>ten and "betweenness and centrality">30 were considered).
The study identified significant changes in macrophage and NK cell expression patterns post-burn injury, linking them to potential improvements in clinical outcomes and wound healing. The gene B3GNT5, associated with mortality, was highlighted as a key marker for prognostic evaluation.
烧伤会导致免疫分子失调，影响细胞免疫和体液免疫途径。本研究旨在确定老年患者烧伤创面愈合过程中免疫分子活性的预测情况。
本研究利用基因表达综合数据库（GEO）提取合适的基因集。此外，本研究还进行了文献综述以寻找免疫特征。该研究使用“enrich r”网站来识别提取基因的生物学功能。使用加权基因共表达网络分析（WGCNA）R包识别与死亡率相关的关键基因模块。
提取了合适的GSE。根据数据，上调最明显的特征与自然杀伤（NK）细胞相关，下调最明显的特征与M1巨噬细胞相关。此外，WGCNA的结果表明，研究了与死亡率最相关的基因模块（<107且得分0.17），并提取了模块100的前100个基因。此外，enrich r分析显示了相关途径，包括免疫过程，包括肥大细胞分泌组胺的调节（<0.05）、辅助性T细胞17分化（<0.05）和自噬（<0.05）。最后，通过网络分析，获得了关键基因“B3GNT5”（度>10且“介数和中心性”>30被视为关键基因）。
该研究确定了烧伤后巨噬细胞和NK细胞表达模式的显著变化，将它们与临床结果和伤口愈合的潜在改善联系起来。与死亡率相关的基因B3GNT5被突出显示为预后评估的关键标志物。
