Evidence map›Paper›PMID 26283876›Full record

ArticleInternational journal of medical sciences2015

Dysregulated Serum MicroRNA Expression Profile and Potential Biomarkers in Hepatitis C Virus-infected Patients.

Shaobo Zhang, Xiaoxi Ouyang, Xin Jiang, Dayong Gu, Yulong Lin, S K Kong, Weidong Xie

Abstract read
In one paragraph

Article in International journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
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  13. Circulating non-coding RNAs as potential diagnostic biomarkers in liver diseases.Gastroenterology and hepatology from bed to bench · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. LncRNAs in HCV Infection and HCV-Related Liver Disease.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Article
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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

7 authors.

Shaobo Zhang1. Shenzhen Key Lab of Health Science and Technology, Division of Life Science & Health, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China ; 2. Zhu Jiang Hospital, Southern Medical University, Guangzhou 510282, China.
Xiaoxi Ouyang1. Shenzhen Key Lab of Health Science and Technology, Division of Life Science & Health, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China ; 3. Department of health inspection and quarantine, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xin Jiang1. Shenzhen Key Lab of Health Science and Technology, Division of Life Science & Health, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China.
Dayong Gu4. Central Laboratory of Health Quarantine, International Travel Health Care Center, Shenzhen Entry-exit Inspection and Quarantine Bureau, Shenzhen 518033, China.
Yulong Lin2. Zhu Jiang Hospital, Southern Medical University, Guangzhou 510282, China.
S K Kong5. The Chinese University of Hong Kong, School of Life Sciences, Biochemistry Programme, The Chinese University of Hong Kong, Room 609, Mong Man Wai Building, Shatin, NT, Hong Kong, China.
Weidong Xie1. Shenzhen Key Lab of Health Science and Technology, Division of Life Science & Health, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCirculating microRNAs (miRNAs) play critical roles in pathogen-host interactions. Aberrant miRNA expression profiles might have specific characteristics for virus strains, and could serve as noninvasive biomarkers for screening and diagnosing infectious diseases. In this study, we aimed to find new potential miRNA biomarkers of hepatitis C virus (HCV) infection.

methodsExpression levels of broad-spectrum miRNAs in serum samples from 10 patients with HCV viremia and 10 healthy volunteers were analyzed using miRNA PCR arrays. Subsequently, the differential expression of four selected miRNAs (miR-122, miR-134, miR-424-3p, and miR-629-5p) was verified by qRT-PCR in the serum of 39 patients compared with that in 29 healthy controls. Receiver operating characteristic (ROC) curve analysis was performed to evaluate their potential for the diagnosis of HCV infection.

resultsmiRNA PCR array assays revealed differential expression of 106 miRNAs in sera of HCV patients compared with that in healthy controls. Serum hsa-miR-122, miR-134, miR-424-3p, and miR-629-5p were well identified. The ROC curves showed that miR-122, miR-134, miR-424-3p, and miR-629-5p could distinguish HCV patients with preferable sensitivity and specificity. In addition, Correlation analysis indicated serum miR-122 expression was positive correlation with ALT/AST levels. Functional analysis of target proteins of these miRNAs indicated the involvement of viral replication, inflammation, and cell proliferation.

conclusionHCV patients have a broad 'fingerprint' profile with dysregulated serum miRNAs compared with that in healthy controls. Among these, serum hsa-miR-122, miR-134, miR-424-3p, and miR-629-5p are identified as promising indication factors of the serum miRNA profile of HCV infection. Particularly, miR-122 could be one of serum biomarkers for early pathological process of HCV. However, more miRNA biomarkers and biological functions of these miRNAs require further investigation.

Indexed as

AdultBiomarkersFemaleGene Expression ProfilingGene Expression RegulationHepacivirusHepatitis CHumansLiver CirrhosisMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIRN122 microRNA, humanMIRN134 microRNA, humanMIRN424 microrna, humanMIRN629 microRNA, humanhepatitis C virusmicroRNAsmiR-122miR-134miR-424miR-629

Identifiers

PMID26283876
PMCPMC4532963

What OpenQuestion holds

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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.