Literature DB >> 30711160

MicroRNA hsa-miR-29a-3p is a plasma biomarker for the differential diagnosis and monitoring of tuberculosis.

Elvis Ndukong Ndzi1, Céline Nguefeu Nkenfou2, Linda Mouafo Mekue3, Lorena Zentilin4, Ousman Tamgue5, Eric Walter Yone Pefura6, Jules-Roger Kuiaté7, Mauro Giacca8, Alexis Ndjolo9.   

Abstract

The diagnosis of tuberculosis (TB) continues to pose substantial public health problems. The quest for diagnostic biomarkers for TB is therefore primordial. This study aimed to evaluate the diagnostic and anti-TB treatment monitoring potentials of some selected miRNAs. Quantitative real time polymerase chain reaction and Receiver operating characteristics were used to estimate the ability of miRNAs to discriminate between healthy controls (HEC), latent (LTB) and active TB (ATB). The study showed that: hsa-miR-29a-3p, hsa-miR-155-5p and hsa-miR-361-5p were significantly upregulated in ATB compared to HEC while hsa-miR-29a-3p, and hsa-miR-361-5p were also significantly up-regulated in ATB compared to LTB (all P ≤ 0.05). MiR-29a-3p showed a good (81.37%) distinguishing performance in discriminating ATB from HEC and a good (84.35%) diagnostic performance in discriminating ATB from LTB. The performance of miR-29a-3p present in the blood in discriminating active TB from latent TB and healthy controls indicates it may be a useful biomarker for diagnosis of TB. Because this miRNA is found in blood (plasma) which is easy to collect compared to sputum it could be used in pediatric and extra-pulmonary TB cases.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Biomarker; Diagnosis; Pediatric/extra-pulmonary tuberculosis; Performance; microRNA

Mesh:

Substances:

Year:  2018        PMID: 30711160     DOI: 10.1016/j.tube.2018.12.001

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  15 in total

1.  Expression levels of candidate circulating microRNAs in pediatric tuberculosis.

Authors:  Kathirvel M; Saranya S; Mahadevan S
Journal:  Pathog Glob Health       Date:  2020-05-13       Impact factor: 2.894

Review 2.  Non-Coding RNAs in Tuberculosis Epidemiology: Platforms and Approaches for Investigating the Genome's Dark Matter.

Authors:  Ahmad Almatroudi
Journal:  Int J Mol Sci       Date:  2022-04-17       Impact factor: 6.208

3.  Bioinformatics analysis of microRNA expression between patients with and without latent tuberculosis infections.

Authors:  Yang Lu; Xinmin Wang; Hongchang Dong; Xiaofang Wang; Pu Yang; Ling Han; Yingzi Wang; Zhihong Zheng; Wanjiang Zhang; Le Zhang
Journal:  Exp Ther Med       Date:  2019-03-20       Impact factor: 2.447

4.  Diagnostic value of miR-145 and its regulatory role in macrophage immune response in tuberculosis.

Authors:  Yinghui Fu; Xue Yang; Hongyan Chen; Yugang Lu
Journal:  Genet Mol Biol       Date:  2020       Impact factor: 1.771

5.  MicroRNA-155 from sputum as noninvasive biomarker for diagnosis of active pulmonary tuberculosis.

Authors:  Hua Ying; Sun FengYing; Wu YanHong; Huang YouMing; Zhou FaYou; Zhang HongXiang; Tang XiaoLei
Journal:  Iran J Basic Med Sci       Date:  2020-11       Impact factor: 2.699

6.  Can miRNA Indicate Risk of Illness after Continuous Exposure to M. tuberculosis?

Authors:  Cleonardo Augusto Silva; Arthur Ribeiro-Dos-Santos; Wanderson Gonçalves Gonçalves; Pablo Pinto; Rafael Pompeu Pantoja; Tatiana Vinasco-Sandoval; André Maurício Ribeiro-Dos-Santos; Mara Helena Hutz; Amanda Ferreira Vidal; Gilderlanio Santana Araújo; Ândrea Ribeiro-Dos-Santos; Sidney Santos
Journal:  Int J Mol Sci       Date:  2021-04-01       Impact factor: 5.923

7.  Whole Blood Holding Time Prior to Plasma Processing Alters microRNA Expression Profile.

Authors:  Sung Hye Kim; David A MacIntyre; Lynne Sykes; Maria Arianoglou; Phillip R Bennett; Vasso Terzidou
Journal:  Front Genet       Date:  2022-01-14       Impact factor: 4.599

Review 8.  Tuberculosis-Associated MicroRNAs: From Pathogenesis to Disease Biomarkers.

Authors:  Alessandro Sinigaglia; Elektra Peta; Silvia Riccetti; Seshasailam Venkateswaran; Riccardo Manganelli; Luisa Barzon
Journal:  Cells       Date:  2020-09-24       Impact factor: 6.600

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

Authors:  Jaya Saini; Abhay Deep Pandey; Bhaswati Bandyopadhyay; V G Ramachandran; Shukla Das; Vikas Sood; Arup Banerjee; Sudhanshu Vrati
Journal:  mSystems       Date:  2020-09-15       Impact factor: 6.496

10.  Association between active pulmonary tuberculosis and circulating microRNAs: a preliminary study from Turkey

Authors:  Fatma Kalaycı Yüksek; Cenk Kığ; Gönenç Ortaköylü; Meltem Uzun
Journal:  Turk J Med Sci       Date:  2021-08-30       Impact factor: 0.973

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