肺结核（PTB）因其高发病率、耐药性、传染性以及对免疫系统受损人群的影响而成为一个重大的全球健康问题。正如世界卫生组织（WHO）所提到的，结核病造成的全球死亡人数比任何其他传染病都要多。另一方面，世界卫生组织也声称，非传染性疾病（NCD）每年在全球夺去 4100 万人的生命。在这方面，一些研究表明，原发性结核病和非传染性疾病以各种方式存在联系，并且原发性结核病患者更有可能感染非传染性疾病。与此同时，非传染性疾病会增加活动性结核病感染的易感性。此外，由于潜在的药物相互作用和治疗挑战，治疗同时患有肺结核和非传染性疾病的个体可能很困难。本研究重点关注七种非传染性疾病（肺癌 (LC)、糖尿病 (DM)、帕金森病 (PD)、矽肺 (SI)、慢性肾病 (CKD)、心血管疾病 (CVD) 和类风湿性关节炎 (RA)）并严格呈现与PTB有关共享基因的遗传关系，并概述可能的治疗计划。Blue这项研究旨在确定可以调节非传染性疾病中异常基因表达的药物成分。该研究将通过统计措施揭示枢纽基因、潜在的生物标志物以及与枢纽基因相关的药物成分。这将有助于有针对性的治疗干预。已经进行了大量研究，包括蛋白质-蛋白质相互作用（PPI）、基因调控网络（GRN）、富集分析、物理相互作用和蛋白质-化学相互作用，以证明PTB之间的遗传相关性和非传染性疾病。研究过程中，发现结核病与上述非传染性疾病之间存在 TNF、IL10、NLRP3、IL18、IFNG、HMGB1、CXCL8、IL17A、NFKB1 等 9 个共享基因，以及 5 个枢纽基因（NFKB1、TNF、CXCL8、NLRP3）。 、IL10）根据程度值进行选择。在这项研究中，我们发现所有的 hub 基因都与 10 种药物成分相关，并且观察到阿司匹林 CTD 00005447 主要与所有其他 hub 基因相关。这项生物信息学研究可能有助于研究人员更好地了解 PTB 的原因及其与 NCD 的关系，并最终探索有效的治疗计划。版权所有：© 2024 Mahjabeen 等人。这是一篇根据知识共享署名许可条款分发的开放获取文章，允许在任何媒体上不受限制地使用、分发和复制，前提是注明原始作者和来源。

Pulmonary Tuberculosis (PTB) is a significant global health issue due to its high incidence, drug resistance, contagious nature, and impact on people with compromised immune systems. As mentioned by the World Health Organization (WHO), TB is responsible for more global fatalities than any other infectious illness. On the other side, WHO also claims that noncommunicable diseases (NCDs) kill 41 million people yearly worldwide. In this regard, several studies suggest that PTB and NCDs are linked in various ways and that people with PTB are more likely to acquire NCDs. At the same time, NCDs can increase susceptibility to active TB infection. Furthermore, because of potential drug interactions and therapeutic challenges, treating individuals with both PTB and NCDs can be difficult. This study focuses on seven NCDs (lung cancer (LC), diabetes mellitus (DM), Parkinson's disease (PD), silicosis (SI), chronic kidney disease (CKD), cardiovascular disease (CVD), and rheumatoid arthritis (RA)) and rigorously presents the genetic relationship with PTB regarding shared genes and outlines possible treatment plans.BlueThis study aims to identify the drug components that can regulate abnormal gene expression in NCDs. The study will reveal hub genes, potential biomarkers, and drug components associated with hub genes through statistical measures. This will contribute to targeted therapeutic interventions.Numerous investigations, including protein-protein interaction (PPI), gene regulatory network (GRN), enrichment analysis, physical interaction, and protein-chemical interaction, have been carried out to demonstrate the genetic correlation between PTB and NCDs. During the study, nine shared genes such as TNF, IL10, NLRP3, IL18, IFNG, HMGB1, CXCL8, IL17A, and NFKB1 were discovered between TB and the above-mentioned NCDs, and five hub genes (NFKB1, TNF, CXCL8, NLRP3, and IL10) were selected based on degree values.In this study, we found that all of the hub genes are linked with the 10 drug components, and it was observed that aspirin CTD 00005447 was mostly associated with all the other hub genes. This bio-informatics study may help researchers better understand the cause of PTB and its relationship with NCDs, and eventually, this can lead to exploring effective treatment plans.Copyright: © 2024 Mahjabeen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.