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采用系统方法探索广泛耐药结核病中耐药机制和信号转导通路改变。

A systemic approach to explore the mechanisms of drug resistance and altered signaling cascades in extensively drug-resistant tuberculosis.

机构信息

School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Department of Bioinformatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.

出版信息

Adv Protein Chem Struct Biol. 2021;127:343-364. doi: 10.1016/bs.apcsb.2021.02.002. Epub 2021 Mar 24.

Abstract

BACKGROUND AND AIM

The persistence of extensively drug-resistant (XDR) strains of Mycobacterium tuberculosis (MTB) continue to pose a significant challenge to the treatment and control of tuberculosis infections worldwide. XDR-MTB strains exhibit resistance against first-line anti-TB drugs, fluoroquinolones, and second-line injectable drugs. The mechanisms of drug resistance of MTB remains poorly understood. Our study aims at identifying the differentially expressed genes (DEGs), associated gene networks, and signaling cascades involved in rendering this pathogen resistant to multiple drugs, namely, isoniazid, rifampicin, and capreomycin.

METHODS

We used the microarray dataset GSE53843. The GEO2R tool was used to prioritize the most significant DEGs (top 250) of each drug exposure sample between XDR strains and non-resistant strains. The validation of the 250 DEGs was performed using volcano plots. Protein-protein interaction networks of the DEGs were created using STRING and Cytoscape tools, which helped decipher the relationship between these genes. The significant DEGs were functionally annotated using DAVID and ClueGO. The concomitant biological processes (BP) and molecular functions (MF) were represented as dot plots.

RESULTS AND CONCLUSION

We identified relevant molecular pathways and biological processes, such as cell wall biogenesis, lipid metabolic process, ion transport, phosphopantetheine binding, and triglyceride lipase activity. These processes indicated the involvement of multiple interconnected mechanisms in drug resistance. Our study highlighted the impact of cell wall permeability, with the dysregulation of the mur family of proteins, as essential factors in the inference of resistance. Additionally, upregulation of genes responsible for ion transport such as ctpF, arsC, and nark3, emphasizes the importance of transport channels and efflux pumps in potentially driving out stress-inducing compounds. This study investigated the upregulation of the Lip family of proteins, which play a crucial role in triglyceride lipase activity. Thereby illuminating the potential role of drug-induced dormancy and subsequent resistance in the mycobacterial strains. Multiple mechanisms such as carboxylic acid metabolic process, NAD biosynthetic process, triglyceride lipase activity, phosphopantetheine binding, organic acid biosynthetic process, and growth of symbiont in host cell were observed to partake in resistance of XDR-MTB. This study ultimately provides a platform for important mapping targets for potential therapeutics against XDR-MTB.

摘要

背景和目的

广泛耐药(XDR)结核分枝杆菌(MTB)菌株的持续存在仍然对全球结核病感染的治疗和控制构成重大挑战。XDR-MTB 菌株对一线抗结核药物、氟喹诺酮类药物和二线注射用药物均具有耐药性。MTB 的耐药机制仍知之甚少。我们的研究旨在确定与使该病原体对异烟肼、利福平、卷曲霉素等多种药物产生耐药性相关的差异表达基因(DEGs)、相关基因网络和信号级联。

方法

我们使用了 microarray 数据集 GSE53843。使用 GEO2R 工具对 XDR 株和非耐药株之间每种药物暴露样本中最重要的差异表达基因(前 250 个)进行优先级排序。使用火山图对 250 个 DEGs 进行验证。使用 STRING 和 Cytoscape 工具创建 DEGs 的蛋白质-蛋白质相互作用网络,帮助破译这些基因之间的关系。使用 DAVID 和 ClueGO 对显著的 DEGs 进行功能注释。同时表示生物过程(BP)和分子功能(MF)作为点图。

结果和结论

我们确定了相关的分子途径和生物过程,如细胞壁生物发生、脂质代谢过程、离子转运、磷酸泛酰巯基乙胺结合和甘油三酯脂肪酶活性。这些过程表明,耐药性涉及多个相互关联的机制。我们的研究强调了细胞壁通透性的影响,以及 mur 蛋白家族的失调,是推断耐药性的重要因素。此外,负责离子转运的基因(如 ctpF、arsC 和 nark3)的上调,强调了运输通道和外排泵在潜在驱动应激诱导化合物方面的重要性。该研究调查了 Lip 蛋白家族的上调,该家族在甘油三酯脂肪酶活性中起关键作用。从而说明了药物诱导的休眠和随后的耐药性在分枝杆菌菌株中的潜在作用。观察到多种机制,如羧酸代谢过程、NAD 生物合成过程、甘油三酯脂肪酶活性、磷酸泛酰巯基乙胺结合、有机酸生物合成过程和宿主细胞中共生体的生长,参与 XDR-MTB 的耐药性。这项研究最终为针对 XDR-MTB 的潜在治疗方法提供了一个重要的靶点平台。

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