Evidence map›Paper›PMID 35204460›Full record

ArticleDiagnostics (Basel, Switzerland)2022

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

Junseong Kim, Heechul Park, Sung-Bae Park, Eun Ju Lee, Min-A Je, Eunsol Ahn, Bora Sim, Jiyoung Lee, Hyunwoo Jin, Kyung Eun Lee and 5 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

15 authors at 2 institutions in 1 country.

Junseong KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Heechul ParkDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.ORCID 0000-0002-8185-8396
Sung-Bae ParkDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Eun Ju LeeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Min-A JeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Eunsol AhnClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul 03772, Korea.
Bora SimDepartment of Microbiology, Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul 03772, Korea.
Jiyoung LeeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Hyunwoo JinDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.ORCID 0000-0003-1773-023X
Kyung Eun LeeDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.ORCID 0000-0001-9543-4159
Sang-Nae ChoClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul 03772, 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, Korea.
Hyejon LeeClinical Vaccine Research Section, International Tuberculosis Research Center, Seoul 03772, Korea.
Sunghyun KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.ORCID 0000-0003-2511-6555
Jungho KimDepartment of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan, Busan 46252, Korea.
Catholic University of Pusan · KRYonsei University · KR

Funding

Catholic University of Pusan 2021National Research Foundation of Korea NRF-2020R1F1A1052068
6 · The paper itself

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.

Indexed as

biomarkerslatent tuberculosis infectionmicroRNAstuberculosis

Identifiers

PMID35204460
PMCPMC8871062
OpenAlexW4210630196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.