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长链非编码 RNA 与痰涂片阴性肺结核患者病变中的代谢活性有关。

Long non-coding RNAs and are associated with metabolic activity in tuberculosis lesions of sputum-negative tuberculosis patients.

机构信息

Department of Thoracic Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

Department of Scientific Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

出版信息

Aging (Albany NY). 2021 Mar 3;13(6):8228-8247. doi: 10.18632/aging.202634.

DOI:10.18632/aging.202634
PMID:33686954
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8034958/
Abstract

Accurate diagnosis of complete inactivation of tuberculosis lesions is still a challenge with respect to sputum-negative tuberculosis. RNA-sequencing was conducted to uncover potential lncRNA indicators of metabolic activity in tuberculosis lesions. Lung tissues with high metabolic activity and low metabolic activity demonstrated by fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography were collected from five sputum-negative tuberculosis patients for RNA-sequencing. Differentially-expressed mRNAs and lncRNAs were identified. Their correlations were evaluated to construct lncRNA-mRNA co-expression network, in which lncRNAs and mRNAs with high degrees were confirmed by quantitative real-time PCR using samples collected from 11 patients. Prediction efficiencies of lncRNA indicators were assessed by receiver operating characteristic curve analysis. Bioinformatics analysis was performed for potential lncRNAs. 386 mRNAs and 44 lncRNAs were identified to be differentially expressed. Differentially-expressed mRNAs in lncRNA-mRNA co-expression network were significantly associated with fibrillar collagen, platelet-derived growth factor binding, and leukocyte migration involved in inflammatory response. Seven mRNAs (, , , , , , and ) and two lncRNAs ( and ) were validated to be significantly up-regulated. The area under the curve of and was 0.750 and 0.813, respectively. Two lncRNAs and might be considered as potential indicators of metabolic activity in tuberculosis lesions for sputum-negative tuberculosis.

摘要

准确诊断痰菌阴性结核病中结核病变的完全失活仍然是一个挑战。本研究采用 RNA 测序技术,旨在发现结核病变代谢活性的潜在 lncRNA 指标。从 5 例痰菌阴性结核病患者中采集氟-18-氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描显示代谢活性高和代谢活性低的肺组织进行 RNA 测序。鉴定差异表达的 mRNAs 和 lncRNAs,并评估其相关性,构建 lncRNA-mRNA 共表达网络,用 11 例患者的样本通过实时荧光定量 PCR 验证具有高度数的 lncRNA 和 mRNAs。通过受试者工作特征曲线分析评估 lncRNA 指标的预测效率。对潜在的 lncRNAs 进行生物信息学分析。鉴定出 386 个 mRNAs 和 44 个 lncRNAs 差异表达。lncRNA-mRNA 共表达网络中差异表达的 mRNAs与纤维胶原、血小板衍生生长因子结合和白细胞迁移有关,这些过程涉及炎症反应。验证了 7 个 mRNAs(,,,,,, 和 )和 2 个 lncRNAs( 和 )显著上调。和 的曲线下面积分别为 0.750 和 0.813。lncRNAs 和 可能被认为是痰菌阴性结核病中结核病变代谢活性的潜在指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/14bdcd6f9c66/aging-13-202634-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/1a9bef1de974/aging-13-202634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/53b2cfcc7744/aging-13-202634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/921392f6e3b4/aging-13-202634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/d9cd561713e9/aging-13-202634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/a43804f73852/aging-13-202634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/6e3eb1ebb878/aging-13-202634-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/0c17ff4c6e3d/aging-13-202634-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/14bdcd6f9c66/aging-13-202634-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/1a9bef1de974/aging-13-202634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/53b2cfcc7744/aging-13-202634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/921392f6e3b4/aging-13-202634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/d9cd561713e9/aging-13-202634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/a43804f73852/aging-13-202634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/6e3eb1ebb878/aging-13-202634-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/0c17ff4c6e3d/aging-13-202634-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b99/8034958/14bdcd6f9c66/aging-13-202634-g008.jpg

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