Correlation of altered expression of a long non-coding RNA, NEAT1, in peripheral blood mononuclear cells with dengue disease progression. Issue 6 (December 2017)

• Record Type: Journal Article
• Authors: Pandey, Abhay Deep; Goswami, Saptamita; Shukla, Shweta; Das, Shaoli; Ghosal, Suman; Pal, Manisha; Bandyopadhyay, Bhaswati; Ramachandran, Vishnampettai; Basu, Nandita; Sood, Vikas; Pandey, Priyanka; Chakrabarti, Jayprokas; Vrati, Sudhanshu; Banerjee, Arup
• Is Part Of: Journal of infection. Volume 75:Issue 6(2017)
• Page Start: 541
• Page End: 554
• Publication Date: 2017-12
• Subjects: LncRNAs -- NEAT1 -- IFI27 -- Severe dengue; Infection -- Periodicals; Bacterial Infections -- Periodicals; Communicable Diseases -- Periodicals; Electronic journals; 616.905
• DOI: 10.1016/j.jinf.2017.09.016
• Languages: English
• ISSNs: 0163-4453

Abstract

Highlights: RNA-Seq analyses identify NEAT1 as common lncRNAs that are differentially expressed in dengue-positive patients. Reduced expression of NEAT1 was observed in severe dengue patients. The NEAT1 expression may be useful to monitor dengue disease progression. Inverse relationship of NEAT1 and IFI27 as well as pro-apoptotic gene expression may link to severe dengue phenotype. Summary: The association of long non-coding RNAs (lncRNAs) with dengue disease progression is currently unknown. Therefore, the present study aimed to identify lncRNAs in different categories of dengue patients and evaluate their association with dengue disease progression. Herein, we examined the expression profiles of lncRNAs and protein-coding genes between other febrile illness (OFI) and different grade of dengue patients through high-throughput RNA sequencing. We identified Nuclear Enriched Abundant Transcript 1 ( NEAT1 ) as one of the differentially expressed lncRNAs (adjusted P ≤ 0.05 and log-fold change ≥ 2) and subsequently validated the expression by qRT-PCR. The co-expression analysis further revealed that NEAT1 and the coding gene IFI27 were highly co-expressed and negatively correlated with dengue severity. Using regression analysis, we observed that NEAT1 expression was significantly dependent on disease progression (Coefficient = −0.27750, SE Coefficient = 0.07145, and t = −3.88).Further, receiver operating characteristic (ROC) curve revealed that NEAT1 expression could discriminate DI from DS (sensitivity and specificity of 100% (95%CI: 85.69 – 97.22) and area under the curve (AUC) = 0.97). Overall, the results of this study offer the first experimental evidence demonstrating the correlation between lncRNAs and severe dengue phenotype. Monitoring NEAT1and IFI27 expression in PBMC may be useful in understanding dengue virus-induced disease progression.