Identification of circulating miR-22-3p and miR-93-5p as stable endogenous control in tuberculosis study

Workneh Korma, Adane Mihret, Azeb Tarekegn, Yunhee Chang, Dasom Hwang, Tesfaye Sisay Tessema, Hyeyoung Lee

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The diagnosis and prognosis of tuberculosis remains challenging and necessitates the development of a new test that can accurately diagnose and monitor treatment responses. In this regard, miRNA is becoming a potential diagnostic and prognostic biomarker which differentiates treatment respondents from non-respondents for various non-infectious and infectious diseases, including tuberculosis. The concentration of miRNAs varies based on cell type, disease, and site of infection, implicating that selection of an optimal reference gene is crucial, and determines the quantification of transcript level and biological interpretation of the data. Thus, the study evaluated the stability and expression level of five candidate miRNAs (let-7i-5p, let-7a-5p, miRNA-16-5p, miRNA-22-3p and miRNA-93-5p), including U6 Small Nuclear RNA (RNU6B) to normalize circulating miRNAs in the plasma of 68 participants (26 healthy controls, 23 latent, and 19 pulmonary tuberculosis infected) recruited from four health centers and three hospitals in Addis Ababa, Ethiopia. The expression levels of miRNAs isolated from plasma of culture confirmed newly diagnosed pulmonary tuberculosis patients were compared with latently infected and non-infected healthy controls. The qPCR data were analyzed using four independent statistical tools: Best Keeper, Genorm, Normfinder and comparative delta-Ct methods, and the data showed that miRNA-22-3p and miRNA-93-5p were suitable plasma reference miRNAs in a tuberculosis study.

Original languageEnglish
Article number868
JournalDiagnostics
Volume10
Issue number11
DOIs
Publication statusPublished - 2020 Oct 23

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

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