Evidence map›Paper›PMID 42237266›Full record

ArticleBMC infectious diseases2026

Integrated analysis of miRNA and transcription factor gene expression profiles associated with anti-tuberculosis treatment responses.

Heechul Park, Eun Ju Lee, Sunyoung Park, Sung-Bae Park, Yun-Jeong Kang, Jiyoung Lee, Jake Whang, Young Ae Kang, Sunghyun Kim, Hyejon Lee and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Heechul Park *Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea.
Eun Ju Lee *Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea.
Sunyoung ParkDepartment of Biomedical Technology, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Sung-Bae ParkDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea.
Yun-Jeong KangDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea.
Jiyoung LeeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea.
Jake WhangDepartment of Research and Development, Korea Mycobacterium Resource Center (KMRC), The Korean Institute of Tuberculosis, Osong, 28158, Republic of Korea.
Young Ae KangDivision 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, Republic of Korea.
Sunghyun KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea. shkim0423@cup.ac.kr.
Hyejon LeeDivision of Vaccine Research, International Tuberculosis Research Center, Changwon, 51755, Republic of Korea. hyejonlee@gmail.com.
Jungho KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan, 46252, Republic of Korea. jutosa70@cup.ac.kr.

Funding

Busan Metropolitan City BB21plusCatholic University of Pusan 2023-1-011National Research Foundation of Korea NRF-2019R1I1A2A01063673National Research Foundation of Korea RS-2023-00211685
6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a severe respiratory illness that can lead to opportunistic infections in individuals with weakened immune systems. Accurate diagnosis and monitoring of treatment responses are essential. In this study, we analyzed the miRNA and mRNA profiles of 12 patients with active TB (ATB) before and after treatment.

methodsWe identified differentially expressed (DE) microRNAs (miRNAs) and messenger RNAs (mRNAs), and investigated the relationship between the expression of miRNAs and their target mRNAs. We validated the selected miRNA levels using quantitative reverse transcription polymerase chain reaction (qRT-PCR).

resultsAfter six months of treatment, miRNA profiling of patients with ATB revealed nine miRNAs with altered expression levels. Anti-TB treatment restored miR-223-3p, miR-6787-3p, miR-338-5p, miR-1273h-3p, miR-1288-3p, miR-200c-3p, miR-3074-3p, miR-433-3p, and miR-200b-3p levels to those observed in healthy controls. We conducted qRT-PCR to verify the top nine DE miRNAs using an additional set of 22 blood samples. The results showed that all nine DE miRNAs exhibited decreased expression after the completion of therapy. mRNA sequencing was performed on the same blood samples. This analysis confirmed the significant DE of 75 mRNAs, of which 13 (AFF3, NT5C1B, HIC2, SPATA25, ZFYVE9, HTR7, LRRC8E, METTL2A, PLD4, RGS5, EME2, TIGD5, and PEG10) interacted with the miRNAs pre-analyzed using the miRWalk miRNA target prediction and analysis program.

conclusionThe DE miRNAs identified in this study may serve as potential biomarkers for monitoring the therapeutic efficacy of ATB. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Antitubercular AgentsMicroRNAsTranscription FactorsTuberculosisAdultFemaleGene Expression ProfilingHumansMaleMiddle AgedRNA, MessengerTreatment OutcomeAntitubercular AgentsMicroRNAsRNA, MessengerTranscription FactorsAnti-TB therapyBiomarkersMicroRNAsMonitoringTuberculosis

Identifiers

PMID42237266
PMCPMC13455268

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.