“MiRNA based target identification of TNFα gene in nephrotic syndrome”

Praveenkumar Kochuthakidiyel Suresh , Yogalakshmi Venkatachalapathy , Sarenya Anandaraj , Nandita Ganesh , Dharshini Sanker , Mohana Priya C.D.
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引用次数: 0

Abstract

Background

Nephrotic syndrome (NS) can be caused by various underlying kidney conditions. In most cases, the exact cause of NS is unknown, although it may be related to the body's immune system malfunctioning. Recent studies suggested that TNFα gene contributes significantly to the progression of nephrotic syndrome patients. This study investigates the role of TNFα gene in nephrotic syndrome by studying gene interactions, co-expressions and network biological approaches to predict the miRNA associated with TNFα gene as a biomarker in nephrotic syndrome patients. We conduct a detailed study and identify the TNFα associated genes involved in nephrotic syndrome using Genecard, NCBI GEO, Enrichr and String database. Based on the co-expression and network-based studies we identified a list of gene along with TNFα gene and predict the miRNA pattern associated with each gene. Hub miRNA is predicted as a biomarker for NS. We predict a panel of Mirna by network-based approach, hsa-miR-130a-3p,hsa-miR-130b-3p,hsa-miR-181a-2-3p,hsa-miR-301a-3p,miR-301b-3p,hsa-miR-3666,hsa-miR-4295,hsa-miR-4310,hsa-miR-6835–5p,hsa-miR-7157–5p.There is a growing body of evidence suggesting the utility of miRNAs as biomarkers for nephrotic syndrome (NS). The enrichment and co expression analysis suggest involved in the progression of various cancers especially BRACA1 AND BRACA2. MiRNA-based target prediction is an emerging tool to forecast progressive markers for identifying steroid-resistant nephrotic syndrome (SRNS) patients and evaluating the efficacy of drugs used in treatment. Based on our analysis, cancer associated genes and miRNAs expressed more. Nevertheless, further analysis is imperative to uncover unknown factors causing NS and its association with cancer progression and development.

Abstract Image

《基于MiRNA的肾病综合征TNFα基因靶标鉴定》
背景:肾病综合征(NS)可由多种潜在的肾脏疾病引起。在大多数情况下,NS的确切原因尚不清楚,尽管它可能与人体免疫系统故障有关。最近的研究表明,TNFα基因在肾病综合征患者的进展中起着重要作用。本研究通过研究TNFα基因在肾病综合征中的相互作用、共表达以及网络生物学方法来预测与TNFα基因相关的miRNA作为肾病综合征患者的生物标志物,探讨TNFα基因在肾病综合征中的作用。我们使用Genecard、NCBI GEO、enrichment和String数据库进行了详细的研究,并确定了与肾病综合征相关的TNFα相关基因。基于共表达和基于网络的研究,我们确定了与TNFα基因一起的基因列表,并预测了与每个基因相关的miRNA模式。Hub miRNA被预测为NS的生物标志物。我们通过基于网络的方法预测了一组Mirna, hsa-miR-130a-3p,hsa-miR-130b-3p,hsa-miR-181a-2-3p,hsa-miR-301a-3p,miR-301b-3p,hsa-miR-3666,hsa-miR-4295,hsa-miR-4310, hsa-miR-6835-5p, hsa-miR-7157-5p。越来越多的证据表明mirna可作为肾病综合征(NS)的生物标志物。富集和共表达分析提示其参与多种癌症的进展,尤其是BRACA1和BRACA2。基于mirna的靶标预测是一种新兴的预测进行性标志物的工具,用于识别类固醇耐药肾病综合征(SRNS)患者和评估治疗中使用的药物的疗效。根据我们的分析,癌症相关基因和mirna表达更多。然而,需要进一步的分析来揭示导致NS的未知因素及其与癌症进展和发展的关系。
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来源期刊
Advances in biomarker sciences and technology
Advances in biomarker sciences and technology Biotechnology, Clinical Biochemistry, Molecular Medicine, Public Health and Health Policy
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