Evidence map›Paper›PMID 33473354›Full record

ArticleMolecular therapy. Methods & clinical development2021

Serum exosome microRNA panel as a noninvasive biomarker for molecular diagnosis of fulminant myocarditis.

Yingying Zhang, Xueqin Li, Deguo Wang, Xiaogan Jiang, Mengying Zhang, Kun Lv

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. MicroRNAs in myocarditis: promising biological signals, but not yet a clinical test.International journal of cardiology. Heart & vasculature · 2026
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  15. The Role of MicroRNAs in Myocarditis-What Can We Learn from Clinical Trials?International journal of molecular sciences · 2022
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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

6 authors.

Yingying ZhangKey Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institutes, Wuhu, PR China.
Xueqin LiKey Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institutes, Wuhu, PR China.
Deguo WangDepartment of Gerontology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, PR China.
Xiaogan JiangDepartment of Critical Care Medicine, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, PR China.
Mengying ZhangKey Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institutes, Wuhu, PR China.
Kun LvKey Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institutes, Wuhu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosome-derived microRNAs (miRNAs) are potential diagnostic biomarkers. However, little is known about their effectiveness as diagnostic biomarkers of fulminant myocarditis (FM). This study aimed to explore serum exosomal miRNAs as potential biomarkers for FM diagnosis. Peripheral blood samples were collected from 99 patients with FM, 32 patients with nonfulminant myocarditis (NFM), and 105 healthy controls (HCs). The miRNA expression profiles of serum exosomes were determined using next-generation sequencing, and differentially expressed miRNAs were further analyzed by quantitative reverse transcriptase polymerase chain reaction. A logistic regression model was constructed using a training cohort (n = 120) and then validated using an independent cohort (n = 106). The area under the receiver operating characteristic curve was used to evaluate diagnostic accuracy. In FM patients, hsa-miR-30a, hsa-miR-192, hsa-miR-146a, hsa-miR-155, and hsa-miR-320a were validated as significantly and differentially expressed candidates that could serve as potential markers for diagnosing FM. In addition, the miRNA panel (hsa-miR-155 and hsa-miR-320a) from the multivariate logistic regression model demonstrated high accuracy in the diagnosis of FM and was able to distinguish FM from HCs and NFM. Moreover, the diagnostic value of the miRNA panel was greater than that of CRP and cTn alone or together. The miRNA panel provided the excellent diagnostic capability for FM.

Indexed as

biomarkerexosomefulminant myocarditismicroRNA panelmolecular diagnosis

Identifiers

PMID33473354
PMCPMC7786026

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Registered trials

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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.