Evidence map›Paper›PMID 26299203›Full record

ArticleMolecular medicine reports2015

Analysis of the differential expression of circulating microRNAs during the progression of hepatic fibrosis in patients with chronic hepatitis B virus infection.

Qingqing Zhang, Mingyi Xu, Ying Qu, Zhenghong Li, Qidi Zhang, Xiaobo Cai, Lungen Lu

Abstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

7 authors.

Qingqing ZhangDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Mingyi XuDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Ying QuDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Zhenghong LiDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Qidi ZhangDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Xiaobo CaiDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.
Lungen LuDepartment of Gastroenterology, Shanghai First People's Hospital, Shanghai Jiao‑Tong University School of Medicine, Shanghai 200080, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the limitations of liver biopsy, reliable non‑invasive serum biomarkers of liver fibrosis are required for early diagnosis. The present study analyzed the expression profile of circulating micro (mi)RNAs during the development and progression of hepatic fibrosis in patients with chronic hepatitis B virus (HBV) infection, aiming to identify novel earlier diagnostic biomarkers. Fresh plasma samples were collected from 50 patients diagnosed with chronic HBV infection and hepatic fibrosis. These patients were classified into five groups (S0, S1, S2, S3 and S4; n=10 per group) based on Scheuer's staging criteria. The differential expression of the circulating miRNAs was determined by performing miRNA microarray hybridization. Finally, the target genes of the miRNAs were predicted and classified using gene ontology analysis. A total of 140 miRNAs were detected in the S1‑S4 patient groups, and their expression levels were >2‑fold higher compared with those in the S0 group. The numbers of miRNAs differentially expressed in the S1‑S4 patient groups were 48, 97, 84 and 56, respectively, with 12 miRNAs differentially expressed at all stages, 10 of which were upregulated and two of which were downregulated. The target genes of the miRNAs identified were found to be involved in 100 signal transduction pathways, the majority of which affected hepatic fibrosis via the TGF‑/Smad, Wnt, MAPK, Jak/STAT and VEGF pathways. The differential expression levels of miRNAs were closely associated with the staging of hepatic fibrosis. The results of the present study provide evidence to facilitate the development and application of non‑invasive biomarkers for earlier diagnosis of hepatic fibrosis.

Indexed as

Gene Expression RegulationAdultBiomarkersCluster AnalysisDisease ProgressionEarly DiagnosisFemaleGene OntologyHepatitis B, ChronicHepatitis B virusHumansLiver CirrhosisMaleMetabolic Networks and PathwaysMicroRNAsMiddle AgedBiomarkersMicroRNAs

Identifiers

PMID26299203
PMCPMC4581744

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.