Literature DB >> 27450007

Association between tuberculosis and circulating microRNA hsa-let-7b and hsa-miR-30b: A pilot study in a Chinese population.

Henan Xin1, Yu Yang2, Jianmin Liu3, Xiangwei Li1, Mufei Li1, Boxuan Feng1, Zhen Li1, Haoran Zhang1, Hengjing Li1, Fei Shen3, Ling Guan3, Lei Gao4.   

Abstract

Tuberculosis remains one of the world's deadliest communicable diseases. Limitations in the current diagnosis tools have heavily slowed down the step to eliminate TB. The objective of this study was to identify potential circulating miRNA associated with tuberculosis (TB) infection and disease development. Agilent human miRNA microarray was used to estimate the circulating levels of 1887 miRNAs among 34 study participants (10 patients with pulmonary TB, 13 controls with latent TB infection and 11 non-infected healthy controls). The identified miRNAs were subsequently verified by real-time qPCR. Target gene prediction and miRNA-gene network construction were further explored. A total of 119 miRNAs were identified to be in different levels between any two groups of the study population by microarray (Fold Change>2, p < 0.01). 11 most promising miRNAs were then selected for verification by real-time qPCR. The levels of hsa-let-7b-5p and hsa-miR-30b-5p were confirmed to be significantly up-regulated in pulmonary TB patients as compared to both control groups (p < 0.01). Caspase 3 was predicted to be one common target gene for these two miRNAs. None of the selected miRNA was confirmed to be related with the infection status. This pilot study suggested circulating hsa-let-7b and hsa-miR-30b might be associated with TB development by regulating the target genes involved in TLR-NF-kB mediated signal pathway.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Circulating microRNA; Latent tuberculosis infection; Pulmonary tuberculosis; hsa-let-7b; hsa-miR-30b

Mesh:

Substances:

Year:  2016        PMID: 27450007     DOI: 10.1016/j.tube.2016.04.005

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


  9 in total

1.  The Association between Circulating microRNAs and the Risk of Active Disease Development from Latent Tuberculosis Infection: a Nested Case-Control Study.

Authors:  Henan Xin; Xuefang Cao; Ying Du; Jiaoxia Yan; Rui He; Zisen Liu; Haoran Zhang; Yijun He; Bin Zhang; Dakuan Wang; Ling Guan; Fei Shen; Boxuan Feng; Zhusheng Quan; Yongpeng He; Jianmin Liu; Qi Jin; Shouguo Pan; Lei Gao
Journal:  Microbiol Spectr       Date:  2022-04-18

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

Review 3.  miRNAs in Tuberculosis: New Avenues for Diagnosis and Host-Directed Therapy.

Authors:  Naveed Sabir; Tariq Hussain; Syed Zahid Ali Shah; Antonio Peramo; Deming Zhao; Xiangmei Zhou
Journal:  Front Microbiol       Date:  2018-03-29       Impact factor: 5.640

4.  Small RNA Profiles of Serum Exosomes Derived From Individuals With Latent and Active Tuberculosis.

Authors:  Lingna Lyu; Xiuli Zhang; Cuidan Li; Tingting Yang; Jinghui Wang; Liping Pan; Hongyan Jia; Zihui Li; Qi Sun; Liya Yue; Fei Chen; Zongde Zhang
Journal:  Front Microbiol       Date:  2019-05-28       Impact factor: 5.640

5.  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

6.  A systemic approach to screening high-throughput RT-qPCR data for a suitable set of reference circulating miRNAs.

Authors:  Konrad Pagacz; Przemyslaw Kucharski; Urszula Smyczynska; Szymon Grabia; Dipanjan Chowdhury; Wojciech Fendler
Journal:  BMC Genomics       Date:  2020-01-31       Impact factor: 3.969

7.  Micro RNAs as potential biomarkers in tuberculosis: A systematic review.

Authors:  Bijay Pattnaik; Niharika Patnaik; Saurabh Mittal; Anant Mohan; Anurag Agrawal; Randeep Guleria; Karan Madan
Journal:  Noncoding RNA Res       Date:  2022-01-01

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.  Serum-Derived Exosomal miR-140-5p as a Promising Biomarker for Differential Diagnosis of Anti-NMDAR Encephalitis With Viral Encephalitis.

Authors:  Xiaofeng Liu; Kengna Fan; Qingwen Lin; Minjie Tang; Qi Wang; Er Huang; Weiqing Zhang; Tianbin Chen; Qishui Ou
Journal:  Front Immunol       Date:  2022-02-22       Impact factor: 7.561

  9 in total

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