Evidence map›Paper›PMID 34506494›Full record

ArticlePloS one2021

Clinical impact of serum exosomal microRNA in liver fibrosis.

Young Chang, Jae-A Han, Suk Min Kang, Soung Won Jeong, Tom Ryu, Han Seul Park, Jeong-Ju Yoo, Sae Hwan Lee, Sang Gyune Kim, Young Seok Kim and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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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

14 authors at 1 institution in 1 country.

Young ChangDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.
Jae-A HanSoonchunhyang Institute of Medi-bio Science (SIMS), Soonchunhyang University, Cheonan, Korea.
Suk Min KangDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.
Soung Won JeongDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.
Tom RyuDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.
Han Seul ParkDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.
Jeong-Ju YooDepartment of Internal Medicine, Soonchunhyang University College of Medicine, Bucheon, Korea.
Sae Hwan LeeDepartment of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea.
Sang Gyune KimDepartment of Internal Medicine, Soonchunhyang University College of Medicine, Bucheon, Korea.
Young Seok KimDepartment of Internal Medicine, Soonchunhyang University College of Medicine, Bucheon, Korea.
Hong Soo KimDepartment of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, Korea.
So Young JinDepartment of Pathology, Soonchunhyang University College of Medicine, Seoul, Korea.
Seongho RyuSoonchunhyang Institute of Medi-bio Science (SIMS), Soonchunhyang University, Cheonan, Korea.
Jae Young JangDepartment of Internal Medicine, Institute for Digestive Research, Digestive Disease Center, Soonchunhyang University College of Medicine, Seoul, Korea.ORCID 0000-0001-5335-752X
Soonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimWe investigated alterations in the expression of serum exosomal miRNAs with the progression of liver fibrosis and evaluated their clinical applicability as biomarkers.

methodsThis study prospectively enrolled 71 patients who underwent liver biopsy at an academic hospital in Korea. Exosomes were extracted from serum samples, followed by next-generation sequencing (NGS) of miRNAs and targeted real-time quantitative polymerase chain reaction. A model was derived to discriminate advanced fibrosis based on miRNA levels and the performance of this model was evaluated. Validation of the effect of miRNA on liver fibrosis in vitro was followed.

resultsNGS data revealed that exosomal miR-660-5p, miR-125a-5p, and miR-122 expression were changed significantly with the progression of liver fibrosis, of which miR-122 exhibited high read counts enough to be used as a biomarker. The level of exosomal miR-122 decreased as the pathologic fibrosis grade progressed and patients with biopsy-proven advanced fibrosis had significantly lower levels of exosomal miR-122 (P < 0.001) than those without advanced fibrosis. Exosomal miR-122 exhibited a fair performance in discriminating advanced fibrosis especially in combination with fibrosis-4 score and transient elastography. In a subgroup of patients with a non-viral etiology of liver disease, the performance of exosomal miR-122 as a biomarker was greatly improved. Inhibition of miR-122 expression increased the proliferation of the human hepatic stellate cell line, LX-2, and upregulated the expression of various fibrosis related proteins.

conclusionExosomal miR-122 may serve as a useful non-invasive biomarker for liver fibrosis, especially in patients with non-viral etiologies of chronic liver disease.

Indexed as

AdultAgedBiomarkersCase-Control StudiesExosomesFemaleHigh-Throughput Nucleotide SequencingHumansLiver CirrhosisMaleMicroRNAsMiddle AgedProspective StudiesRepublic of KoreaROC CurveBiomarkersMicroRNAs

Identifiers

PMID34506494
PMCPMC8432846
OpenAlexW3197599826

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.