Evidence map›Paper›PMID 25738504›Full record

ArticleMolecular medicine reports2015

Circulating microRNA-196a as a candidate diagnostic biomarker for chronic hepatitis C.

Bo Liu, Ying Xiang, Heng-Shu Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Biomarkers in Detection of Hepatitis C Virus Infection.Pathogens (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Article
  5. MicroRNA Interference in Hepatic Host-Pathogen Interactions.International journal of molecular sciences · 2021
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
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

3 authors at 2 institutions in 1 country.

Bo LiuDepartment of Burns and Plastic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
Ying XiangDepartment of Burns and Plastic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
Heng-Shu ZhangDepartment of Burns and Plastic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have demonstrated the inhibitory effect of microRNA (miR)-196a on hepatitis C virus (HCV) expression in human hepatocytes. However, the clinical implications of aberrant miR-196a expression and the application of circulating miR-196a in the diagnosis and management of chronic hepatitis C (CHC) require further investigation. The present study aimed to examine the possibility of using serum miR-196a as a biomarker for CHC. The Affymetrix miRNA array platform was used for miRNA expression profiling in adenovirus (Ad)-HCV core-infected (HepG2-HCV) and Ad-enhanced green fluorescence protein (EGFP)-infected HepG2 cells (HepG2-control). miR-196a downregulation and levels were analyzed using stem-loop reverse transcription quantitative polymerase chain reaction (RT-qPCR) analysis of the sera of 43 patients with CHC and 22 healthy controls. A total of six miRNAs were identified as significantly different (≥ 1.5 fold; P ≤ 0.05) between the two groups. Of note, significant miR-196a downregulation was observed in HepG2-HCV as compared with HepG2‑EGFP. Furthermore, as compared with that of the healthy control group, serum miR-196a was demonstrated to be significantly lower in patients with CHC. In addition, analysis of the receiver operating characteristic (ROC) curve for serum miR-196a revealed an area under the ROC curve of 0.849 (95% confidence interval, 0.756-0.941; P<0.001) with 81.8% sensitivity and 76.7% specificity in discriminating chronic HCV infection from healthy controls at a cut-off value of 6.115 x 10(-5), demonstrating significant diagnostic value for CHC. However, no correlation was identified between serum miR-196a and alanine aminotransferase, aspartate aminotransferase or HCV-RNA. In conclusion, the present study identified circulating miR-196a as a specific and noninvasive candidate biomarker for the diagnosis of CHC.

Indexed as

AdultBiomarkersFemaleHepacivirusHepatitis C, ChronicHep G2 CellsHumansMaleMicroRNAsMiddle AgedBiomarkersMicroRNAsMIRN196 microRNA, human

Identifiers

PMID25738504
PMCPMC4438874
OpenAlexW2129023662

What OpenQuestion holds

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LicenceCC BY
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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.