结核病中沉默RNA的声音以及长链非编码RNA在感染中的作用。
The sound of silent RNA in tuberculosis and the lncRNA role on infection.
作者信息
Rocha Eduardo Fukutani, Vinhaes Caian Leal, Araújo-Pereira Mariana, Mota Tiago Feitosa, Gupte Akshay N, Kumar Nathella Pavan, Arriaga Maria Belen, Sterling Timothy R, Babu Subash, Gaikwad Sanjay, Karyakarte Rajesh, Mave Vidya, Kulkarni Vandana, Paradkar Mandar, Viswanathan Vijay, Kornfeld Hardy, Gupta Amita, Andrade Bruno Bezerril, Queiroz Artur Trancoso Lopo de
机构信息
Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.
出版信息
iScience. 2023 Dec 8;27(1):108662. doi: 10.1016/j.isci.2023.108662. eCollection 2024 Jan 19.
Tuberculosis (TB) is one of the leading causes of death worldwide, and Diabetes Mellitus is one of the major comorbidities (TB/DM) associated with the disease. A total of 103 differentially expressed ncRNAs have been identified in the TB and TB/DM comparisons. A machine learning algorithm was employed to identify the most informative lncRNAs: ADM-DT, LINC02009, LINC02471, SOX2-OT, and GK-AS1. These lncRNAs presented substantial accuracy in classifying TB from HC (AUCs >0.85) and TB/DM from HC (AUCs >0.90) in the other three countries. Genes with significant correlations with the five lncRNAs enriched common pathways in Brazil and India for both TB and TB/DM. This suggests that lncRNAs play an important role in the regulation of genes related to the TB immune response.
结核病（TB）是全球主要死因之一，而糖尿病是与该疾病相关的主要合并症之一（TB/DM）。在结核病与TB/DM的比较中，共鉴定出103种差异表达的非编码RNA。采用机器学习算法来识别最具信息性的长链非编码RNA：ADM-DT、LINC02009、LINC02471、SOX2-OT和GK-AS1。在其他三个国家，这些长链非编码RNA在区分结核病与健康对照（AUC>0.85）以及区分TB/DM与健康对照（AUC>0.90）方面表现出很高的准确性。与这五种长链非编码RNA具有显著相关性的基因在巴西和印度的结核病及TB/DM中富集了共同途径。这表明长链非编码RNA在与结核病免疫反应相关的基因调控中发挥着重要作用。
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