Abstract：
Tuberculosis (TB) is a serious public health issue in India. Numerous molecular mechanisms and immunological responses play significant roles in the pathogenesis of tuberculosis. This study aimed to identify host immune-related biomarkers that are significantly differentially expressed in active TB and that play a vital role in disease progression. The methodology employed in this study included data collection, pre-processing, analysis, and interpretation of the results. Six microarray datasets were used to identify differentially expressed genes (DEGs), and only the common DEGs were used for further downstream analysis, such as hub gene identification, gene ontology, pathway enrichment analysis, and drug-gene interaction analysis. The study identified 1728 DEGs, including 906 upregulated and 822 downregulated genes. Five hub genes were identified that were: STAT1, GBP5, GBP1, FCGR1A, and BATF2. Gene ontology and pathway enrichment revealed that most of the genes were involved in interferon-gamma signaling. In addition, through drug-gene interactions, known drugs have been identified for STAT1, FCGR1A and GBP1. The findings of this study may contribute to early detection and treatment of active TB.
摘要：
结核病（TB）在印度是一个严重的公共卫生问题。许多分子机制和免疫反应在结核病的发病机制中起着重要作用。这项研究旨在鉴定宿主免疫相关的生物标志物，这些生物标志物在活动性TB中显著差异表达，并且在疾病进展中起着至关重要的作用。本研究采用的方法包括数据收集，预处理,分析,和结果的解释。六个微阵列数据集用于鉴定差异表达基因(DEG)，只有共同的DEG被用于进一步的下游分析，如集线器基因鉴定，基因本体论，途径富集分析，和药物-基因相互作用分析。该研究确定了1728个DEG，包括906个上调基因和822个下调基因。确定了五个hub基因，分别是：STAT1，GBP5，GBP1，FCGR1A，BATF2基因本体论和途径富集表明，大多数基因参与干扰素-γ信号传导。此外,通过药物-基因相互作用，已知的药物已被鉴定为STAT1，FCGR1A和GBP1。这项研究的结果可能有助于早期发现和治疗活动性结核病。
