Evidence map›Paper›PMID 33569439›Full record

ArticleAnnals of translational medicine2021

Exosomal microRNA-155 as a biomarker for hepatic fibrosis diagnosis and progression.

Lian-Jie Niu, Ya-Min Zhang, Tao Huang, Xian-Fu Sun, Su-Xia Luo

Abstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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  11. Serum non-coding RNAs for diagnosis and stage of liver fibrosis.Journal of clinical laboratory analysis · 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

5 authors.

Lian-Jie NiuDepartment of Mammary Gland Department, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Ya-Min ZhangDepartment of Hepatobiliary Surgery, Tianjin First Central Hospital, Tianjin, China.
Tao HuangDepartment of Mammary Gland Department, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Xian-Fu SunDepartment of Mammary Gland Department, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Su-Xia LuoDepartment of Gastroenterology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPathological examination of liver biopsies remains the gold standard for evaluating the stage of hepatic fibrosis, which are a number of disadvantages associated with biopsy. The aim of the present study was to investigate the potential of exosomal microRNA (miR)-155 as a non-invasive biomarker for the diagnosis and progression of hepatic fibrosis.

methodsExosomal miR-155 quantity was analyzed by sampling serum exosomes of patients with hepatic fibrosis and a hepatic fibrosis rat model. A total of 94 patients were divided into three groups based on Child-Pugh rating. Additionally, 30 patients with primary liver fibrosis who underwent liver transplantation were divided into the low miR-155 expression group and the high expression group; 56 rats were divided into 7 groups (n=8, 0, 2, 4, 6, 8, 10, and 12 weeks). Rats in every group were intravenously injected with CCl4 (3% vol/vol in olive oil; 0.3 mL/100 g body weight) twice weekly to produce different degrees of liver necrosis and liver fibrosis.

resultsExosomal miR-155 was found to be closely associated with the progression of cirrhosis and clinical prognostic indicators of cirrhosis. Exosomal miR-155 gradually increased with the severity of hepatic necrosis and fibrosis.

conclusionsThe findings of the present study indicate that exosomal miR-155 can act as a non-invasive biomarker for the diagnosis and progression of hepatic fibrosis.

Indexed as

biomarkerdiagnosisExosomeliver fibrosismicroRNA-155progression

Identifiers

PMID33569439
PMCPMC7867899

What Socratic holds

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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 Socratic graph.