High-Throughput RNA Sequencing Analysis of Plasma Samples Reveals Circulating microRNA Signatures with Biomarker Potential in Dengue Disease Progression

被引:17
|
作者
Saini, Jaya [1 ]
Bandyopadhyay, Bhaswati [2 ]
Pandey, Abhay Deep [1 ,3 ]
Ramachandran, V. G. [4 ,5 ]
Das, Shukla [4 ,5 ]
Sood, Vikas [3 ,6 ]
Banerjee, Arup [1 ,3 ]
Vrati, Sudhanshu [1 ,3 ]
机构
[1] Reg Ctr Biotechnol RCB, Faridabad, India
[2] Calcutta Sch Trop Med STM, Kolkata, India
[3] Translat Hlth Sci & Technol Inst THSTI, Faridabad, India
[4] Univ Coll Med Sci UCMS, Delhi, India
[5] Guru Teg Bahadur GTB Hosp, Delhi, India
[6] Jamia Hamdard, Dept Biochem, New Delhi, India
关键词
dengue; RNA sequencing; circulating miRNA; plasma microRNA; BLOOD; EXPRESSION; DIAGNOSIS; CELLS;
D O I
10.1128/mSystems.00724-20
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The circulating microRNA (miRNA) profile has been widely used for identifying potential biomarkers against viral infections. However, data on circulating microRNA expression patterns in dengue patients are scanty. Considering the impact of severity caused by dengue infection, circulating miRNA profiles in plasma of dengue patients may prove to be valuable for developing early prognostic markers for the disease severity. Here, we described an in-depth analytical study of small RNA sequencing data obtained from the plasma of 39 dengue patients. Integrating bioinformatics and in vitro studies, we identified differentially expressed miRNAs (DEMs) (log(2) fold change >= 1.5, P < 0.05) associated with dengue disease progression. In comparing miRNA expression pattern with the follow-up samples, nine miRNAs were found to exhibit an altered expression that could distinguish between severe dengue and the convalescent patients. To understand the abundance and specificity of the DEMs in the context of dengue infection and disease progression, eight top-hit DEMs were further validated in the dengue virus-infected cell lines as well as in the patient's plasma and peripheral blood mononuclear cells (PBMCs) using the quantitative reverse transcription-PCR (qRT-PCR) method. Importantly, receiver operating curve analysis further confirmed that the plasma expression pattern of hsa-miR122-5p could differentiate between different stages of dengue infection (area under the concentration-time curve [AUC] = 0.792), and dengue-negative patients with other febrile illnesses (AUC = 0.984). The in silico analysis of DEM target genes suggested an enrichment of the pathways associated with metabolism and inflammation. Our study gives a global view of miRNA expression in the plasma from dengue patients and provides a precious resource of candidate miRNAs involved in dengue infection and disease progression. IMPORTANCE Dengue virus (DENV) infection usually causes dengue fever (DF) with flu-like illness affecting infants, young children, and adults. The DF occasionally evolves into a potentially lethal complication called dengue severe (DS) leading to a rapid fall in platelet count along with plasma leakage, fluid accumulation, respiratory distress, and severe bleeding. The diverse clinical spectrum of dengue disease, as well as its significant similarity to other febrile viral illnesses, makes early identification more challenging in this high-risk group. microRNAs (miRNAs) are small (similar to 19 to 21 nucleotides [nt] in length), noncoding RNAs, extremely stable and easily detectable in the plasma; thus, they have potential as biomarkers for diagnosing and monitoring human diseases. This study provides a comprehensive analysis of miRNAs circulating in plasma of dengue virus-infected patients and identifies the miRNA signatures that have biomarker potential for dengue infection and disease progression.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Integrated analysis of high-throughput sequencing reveals the regulatory potential of hsa_circ_0035431 in HNSCC
    Liu, Xiaoyan
    Zeng, Lili
    Wang, Wenlong
    Li, Zhipeng
    Zhou, Siyuan
    Wang, Fang
    Wang, Yue
    Du, Jing
    Ma, Xiangrui
    ONCOLOGY LETTERS, 2023, 26 (04)
  • [22] Microbiome characterization by high-throughput transfer RNA sequencing and modification analysis
    Schwartz, Michael H.
    Wang, Haipeng
    Pan, Jessica N.
    Clark, Wesley C.
    Cui, Steven
    Eckwahl, Matthew J.
    Pan, David W.
    Parisien, Marc
    Owens, Sarah M.
    Cheng, Brian L.
    Martinez, Kristina
    Xu, Jinbo
    Chang, Eugene B.
    Pan, Tao
    Eren, A. Murat
    NATURE COMMUNICATIONS, 2018, 9
  • [23] ANALYSIS OF WOUND HEALING USING HIGH-THROUGHPUT RNA-SEQUENCING
    Zhang, D. X.
    Lam, M.
    Glass, C.
    JOURNAL OF INVESTIGATIVE MEDICINE, 2013, 61 (01) : 118 - 118
  • [24] Transcriptome Analysis of the Silkworm (Bombyx mori) by High-Throughput RNA Sequencing
    Li, Yinu
    Wang, Guozeng
    Tian, Jian
    Liu, Huifen
    Yang, Huipeng
    Yi, Yongzhu
    Wang, Jinhui
    Shi, Xiaofeng
    Jiang, Feng
    Yao, Bin
    Zhang, Zhifang
    PLOS ONE, 2012, 7 (08):
  • [25] Microbiome characterization by high-throughput transfer RNA sequencing and modification analysis
    Michael H. Schwartz
    Haipeng Wang
    Jessica N. Pan
    Wesley C. Clark
    Steven Cui
    Matthew J. Eckwahl
    David W. Pan
    Marc Parisien
    Sarah M. Owens
    Brian L. Cheng
    Kristina Martinez
    Jinbo Xu
    Eugene B. Chang
    Tao Pan
    A. Murat Eren
    Nature Communications, 9
  • [26] High-throughput RNA sequencing transcriptome analysis of ABC-DLBCL reveals several tumor evasion strategies
    Serrano Lopez, Juana
    Jimenez-Jimenez, Carla
    Chutipongtanate, Somchai
    Serrano, Josefina
    Rodriguez-Moreno, Marta
    Jimenez, Alvaro
    Jimenez, Yesenia
    Pedrero, Sara G.
    Lainez, Daniel
    Manuel Alonso-Dominguez, Juan
    Llamas Sillero, Pilar
    Angel Piris, Miguel
    Sanchez-Garcia, Joaquin
    LEUKEMIA & LYMPHOMA, 2022, 63 (08) : 1861 - 1870
  • [27] Identification of Viral Signatures Using High-Throughput Sequencing on Blood of Patients With Kawasaki Disease
    L'Huillier, Arnaud G.
    Brito, Francisco
    Wagner, Noemie
    Cordey, Samuel
    Zdobnov, Evgeny
    Posfay-Barbe, Klara M.
    Kaiser, Laurent
    FRONTIERS IN PEDIATRICS, 2019, 7
  • [28] High-throughput RNA-sequencing reveals novel targets of tofacitinib in the treatment of rheumatoid arthritis
    Chen, Q.
    Geng, Q.
    Yu, X.
    Lu, F.
    Li, J.
    Liu, H.
    CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, 2023, 41 (11) : 2167 - 2176
  • [29] High-Throughput Sequencing of Small RNA Transcriptome Reveals Salt Stress Regulated MicroRNAs in Sugarcane
    Bottino, Mariana Carnavale
    Rosario, Sabrina
    Grativol, Clicia
    Thiebaut, Flavia
    Rojas, Cristian Antonio
    Farrineli, Laurent
    Hemerly, Adriana Silva
    Gomes Ferreira, Paulo Cavalcanti
    PLOS ONE, 2013, 8 (03):
  • [30] A translational, high-throughput proteomics platform for the deep analysis of plasma samples
    Nunez, E.
    Calvo, E.
    Bonzon-Kulichenko, E.
    Ponce, R.
    Garcia-Marques, F.
    Gomez-Serrano, M.
    Campo, R.
    Magni, R.
    Fernandez-Friera, L.
    Fernandez-Ortiz, A.
    Ibanez, B.
    Vazquez, J.
    EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, 2018, 48 : 157 - 158