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对吞噬细胞进行全转录组测序揭示了一个 ceRNA 网络,该网络有助于对结核感染的天然抵抗力。

Whole-transcriptome sequencing of phagocytes reveals a ceRNA network contributing to natural resistance to tuberculosis infection.

机构信息

Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Guangzhou National Laboratory, Guangzhou, 510005, China.

Key Laboratory of Epigenetic Regulation and Intervention, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China; TB Healthcare Co., Ltd., Foshan, 528300, China.

出版信息

Microb Pathog. 2024 Jul;192:106681. doi: 10.1016/j.micpath.2024.106681. Epub 2024 May 15.

Abstract

Tuberculosis (TB) is a major fatal infectious disease globally, exhibiting high morbidity rates and impacting public health and other socio-economic factors. However, some individuals are resistant to TB infection and are referred to as "Resisters". Resisters remain uninfected even after exposure to high load of Mycobacterium tuberculosis (Mtb). To delineate this further, this study aimed to investigate the factors and mechanisms influencing the Mtb resistance phenotype. We assayed the phagocytic capacity of peripheral blood mononuclear cells (PBMCs) collected from Resisters, patients with latent TB infection (LTBI), and patients with active TB (ATB), following infection with fluorescent Mycobacterium bovis Bacillus Calmette-Guérin (BCG). Phagocytosis was stronger in PBMCs from ATB patients, and comparable in LTBI patients and Resisters. Subsequently, phagocytes were isolated and subjected to whole transcriptome sequencing and small RNA sequencing to analyze transcriptional expression profiles and identify potential targets associated with the resistance phenotype. The results revealed that a total of 277 mRNAs, 589 long non-coding RNAs, 523 circular RNAs, and 35 microRNAs were differentially expressed in Resisters and LTBI patients. Further, the endogenous competitive RNA (ceRNA) network was constructed from differentially expressed genes after screening. Bioinformatics, statistical analysis, and quantitative real-time polymerase chain reaction were used for the identification and validation of potential crucial targets in the ceRNA network. As a result, we obtained a ceRNA network that contributes to the resistance phenotype. TCONS_00034796-F3, ENST00000629441-DDX43, hsa-ATAD3A_0003-CYP17A1, and XR_932996.2-CERS1 may be crucial association pairs for resistance to TB infection. Overall, this study demonstrated that the phagocytic capacity of PBMCs was not a determinant of the resistance phenotype and that some non-coding RNAs could be involved in the natural resistance to TB infection through a ceRNA mechanism.

摘要

结核病(TB)是全球主要的致命传染病,发病率高,影响公共卫生和其他社会经济因素。然而,有些人对结核感染具有抵抗力,被称为“抵抗者”。即使暴露于高负荷的结核分枝杆菌(Mtb),抵抗者也不会感染。为了进一步阐明这一点,本研究旨在探讨影响 Mtb 抵抗表型的因素和机制。我们检测了来自抵抗者、潜伏性结核感染(LTBI)患者和活动性结核(ATB)患者的外周血单核细胞(PBMC)的吞噬能力,这些患者在感染荧光牛分枝杆菌卡介苗(BCG)后。ATB 患者的 PBMC 吞噬能力更强,LTBI 患者和抵抗者的吞噬能力相当。随后,分离吞噬细胞进行全转录组测序和小 RNA 测序,分析转录表达谱并鉴定与抵抗表型相关的潜在靶点。结果表明,抵抗者和 LTBI 患者之间有 277 个 mRNAs、589 个长非编码 RNA、523 个环状 RNA 和 35 个 microRNAs 表达差异。进一步从筛选后的差异表达基因构建内源性竞争 RNA(ceRNA)网络。通过生物信息学、统计分析和定量实时聚合酶链反应对 ceRNA 网络中的潜在关键靶标进行鉴定和验证。结果得到一个有助于抵抗表型的 ceRNA 网络。TCONS_00034796-F3、ENST00000629441-DDX43、hsa-ATAD3A_0003-CYP17A1 和 XR_932996.2-CERS1 可能是抵抗结核感染的关键关联对。总之,本研究表明 PBMC 的吞噬能力不是抵抗表型的决定因素,一些非编码 RNA 可能通过 ceRNA 机制参与对结核感染的天然抵抗。

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