Literature DB >> 25936536

Differential expression of miRNAs and their relation to active tuberculosis.

Zhihong Xu1, Aiping Zhou2, Jinjing Ni1, Qiufen Zhang1, Ying Wang3, Jie Lu4, Wenjuan Wu5, Petros C Karakousis6, Shuihua Lu7, Yufeng Yao8.   

Abstract

The aim of this work was to screen miRNA signatures dysregulated in tuberculosis to improve our understanding of the biological role of miRNAs involved in the disease. Datasets deposited in publically available databases from microarray studies on infectious diseases and malignancies were retrieved, screened, and subjected to further analysis. Effect sizes were combined using the inverse-variance model and between-study heterogeneity was evaluated by the random effects model. 35 miRNAs were differentially expressed (12 up-regulated, 23 down-regulated; p < 0.05) by combining 15 datasets of tuberculosis and other infectious diseases. 15 miRNAs were found to be significantly differentially regulated (7 up-regulated, 8 down-regulated; p < 0.05) by combining 53 datasets of tuberculosis and malignancies. Most of the miRNA signatures identified in this study were found to be involved in immune responses and metabolism. Expression of these miRNA signatures in serum samples from TB subjects (n = 11) as well as healthy controls (n = 10) was examined by TaqMan miRNA array. Taken together, the results revealed differential expression of miRNAs in TB, but available datasets are limited and these miRNA signatures should be validated in future studies.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Microarray; Tuberculosis; microRNA

Mesh:

Substances:

Year:  2015        PMID: 25936536     DOI: 10.1016/j.tube.2015.02.043

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


  15 in total

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Review 3.  Biomarkers for Detecting Resilience against Mycobacterial Disease in Animals.

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Journal:  Infect Immun       Date:  2019-12-17       Impact factor: 3.441

4.  Responses of Bovine Innate Immunity to Mycobacterium avium subsp. paratuberculosis Infection Revealed by Changes in Gene Expression and Levels of MicroRNA.

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Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

5.  Aberrant expression of miR-16, B12 and CD272 in peripheral blood mononuclear cells from patients with active tuberculosis.

Authors:  Dongzi Lin; Qiankun Liu; Wei Wang; Yanyun Li; Yumei Li; Bihua Lin; Ziyu Ye; Juan Huang; Xiaolin Yu; Yinwen Chen; Yuezhi Mei; Minyuan Huang; Weiqin Yang; Jie Zhou; Xinguang Liu; Jincheng Zeng
Journal:  Am J Transl Res       Date:  2020-10-15       Impact factor: 4.060

Review 6.  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

7.  Expression Profiling of LPS Responsive miRNA in Primary Human Macrophages.

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Journal:  J Microb Biochem Technol       Date:  2016-03-10

8.  Mycobacterium tuberculosis-induced miR-155 subverts autophagy by targeting ATG3 in human dendritic cells.

Authors:  Marilena P Etna; Alessandro Sinigaglia; Angela Grassi; Elena Giacomini; Alessandra Romagnoli; Manuela Pardini; Martina Severa; Melania Cruciani; Fabiana Rizzo; Eleni Anastasiadou; Barbara Di Camillo; Luisa Barzon; Gian Maria Fimia; Riccardo Manganelli; Eliana M Coccia
Journal:  PLoS Pathog       Date:  2018-01-04       Impact factor: 6.823

9.  Alternate splicing of transcripts shape macrophage response to Mycobacterium tuberculosis infection.

Authors:  Haroon Kalam; Mary F Fontana; Dhiraj Kumar
Journal:  PLoS Pathog       Date:  2017-03-03       Impact factor: 6.823

10.  Integrative Multi-Omics Reveals Serum Markers of Tuberculosis in Advanced HIV.

Authors:  Sonya Krishnan; Artur T L Queiroz; Amita Gupta; Nikhil Gupte; Gregory P Bisson; Johnstone Kumwenda; Kogieleum Naidoo; Lerato Mohapi; Vidya Mave; Rosie Mngqibisa; Javier R Lama; Mina C Hosseinipour; Bruno B Andrade; Petros C Karakousis
Journal:  Front Immunol       Date:  2021-06-08       Impact factor: 8.786

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