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Volume 12
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10.3390/diagnostics12020369
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Article

Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis

by
Junseong Kim
1,2,†,
Heechul Park
1,2,†,
Sung-Bae Park
1,2,
Eun Ju Lee
1,2,
Min-A Je
1,2,
Eunsol Ahn
3,
Bora Sim
4,
Jiyoung Lee
1,
Hyunwoo Jin
1,2,
Kyung Eun Lee
1,2,
Sang-Nae Cho
3,4,
Young Ae Kang
5,
Hyejon Lee
3,*,
Sunghyun Kim
1,2,* and
Jungho Kim
1,*
1
Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea
2
Clinical Trial Specialist Program for In Vitro Diagnostics, Brain Busan 21 Plus Program, Graduate School, Catholic University of Pusan, Busan 46252, Korea
3
Clinical Vaccine Research Section, International Tuberculosis Research Center, Seoul 03772, Korea
4
Department of Microbiology, Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul 03772, Korea
5
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul 03772, Korea
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Diagnostics 2022, 12(2), 369; https://doi.org/10.3390/diagnostics12020369
Submission received: 28 December 2021 / Revised: 27 January 2022 / Accepted: 29 January 2022 / Published: 1 February 2022
(This article belongs to the Special Issue MicroRNA in Diagnosis and Prognosis)
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Abstract

Early diagnosis increases the treatment success rate for active tuberculosis (ATB) and decreases mortality. MicroRNAs (miRNAs) have been studied as blood-based markers of several infectious diseases. We performed miRNA profiling to identify differentially expressed (DE) miRNAs using whole blood samples from 10 healthy controls (HCs), 15 subjects with latent tuberculosis infection (LTBI), and 12 patients with ATB, and investigated the expression of the top six miRNAs at diagnosis and over the treatment period in addition to performing miRNA-target gene network and gene ontology analyses. miRNA profiling identified 84 DE miRNAs in patients with ATB, including 80 upregulated and four downregulated miRNAs. Receiver operating characteristic curves of the top six miRNAs exhibited excellent distinguishing efficiency with an area under curve (AUC) value > 0.85. Among them, miR-199a-3p and miR-6886-3p can differentiate between ATB and LTBI. Anti-TB treatment restored the levels of miR-199b-3p, miR-199a-3p, miR-16-5p, and miR-374c-5p to HC levels. Furthermore, 108 predicted target genes were related to the regulation of cellular amide metabolism, intrinsic apoptotic signaling, translation, transforming growth factor beta receptor signaling, and cysteine-type endopeptidase activity. The DE miRNAs identified herein are potential biomarkers for diagnosis and therapeutic monitoring in ATB.
Keywords: tuberculosis; latent tuberculosis infection; biomarkers; microRNAs tuberculosis; latent tuberculosis infection; biomarkers; microRNAs

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MDPI and ACS Style

Kim, J.; Park, H.; Park, S.-B.; Lee, E.J.; Je, M.-A.; Ahn, E.; Sim, B.; Lee, J.; Jin, H.; Lee, K.E.; et al. Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis. Diagnostics 2022, 12, 369. https://doi.org/10.3390/diagnostics12020369

AMA Style

Kim J, Park H, Park S-B, Lee EJ, Je M-A, Ahn E, Sim B, Lee J, Jin H, Lee KE, et al. Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis. Diagnostics. 2022; 12(2):369. https://doi.org/10.3390/diagnostics12020369

Chicago/Turabian Style

Kim, Junseong, Heechul Park, Sung-Bae Park, Eun Ju Lee, Min-A Je, Eunsol Ahn, Bora Sim, Jiyoung Lee, Hyunwoo Jin, Kyung Eun Lee, and et al. 2022. "Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis" Diagnostics 12, no. 2: 369. https://doi.org/10.3390/diagnostics12020369

APA Style

Kim, J., Park, H., Park, S.-B., Lee, E. J., Je, M.-A., Ahn, E., Sim, B., Lee, J., Jin, H., Lee, K. E., Cho, S.-N., Kang, Y. A., Lee, H., Kim, S., & Kim, J. (2022). Identification of MicroRNAs as Potential Blood-Based Biomarkers for Diagnosis and Therapeutic Monitoring of Active Tuberculosis. Diagnostics, 12(2), 369. https://doi.org/10.3390/diagnostics12020369

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