Evidence map›Paper›PMID 29250171›Full record

ArticleOncology letters2017

Computational identification of microRNAs and their targets in liver cirrhosis.

Hongbo Du, Hao Yu, Yuying Yang, Yuanyuan Song, Fei Wang, Shangheng Li, Yuyong Jiang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Hongbo DuDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100007, P.R. China.
Hao YuDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Yuying YangDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Yuanyuan SongDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Fei WangDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Shangheng LiDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Yuyong JiangDepartment of Integrated Traditional and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, P.R. China.
Beijing Ditan Hospital · CNCapital Medical University · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have revealed that the deregulation of circulating miRNAs is associated with liver cirrhosis. The present study aimed to identify reliable candidate biomarkers to improve the early detection of liver cirrhosis. An integrated analysis of expression profiles of microRNAs (miRNAs/miRs) and mRNAs in liver cirrhosis tissues from the GEO database was performed. Next, the regulatory targets of the differentially expressed miRNAs in liver cirrhosis tissues were predicted. In addition, a regulatory network of miRNA-target genes was constructed. A total of 4 eligible mRNA expression profiling studies and 2 miRNA expression profiling studies met the inclusion criteria, and were thus included. A total of 48 differentially expressed miRNAs and 1,773 differentially expressed genes were identified in liver cirrhosis tissues compared with normal tissues. There were 240 miRNA-target pairs whose expression was negatively correlated. In the miRNA-target regulatory network, overexpression of miR-21 and miR-199a-3p was suggested to be closely associated with the progression of liver cirrhosis. In addition, functional enrichment analysis of the target genes indicated that cell cycle was the most significantly enriched pathway, and the dysregulation of leukemia inhibitory factor, cancerous inhibitor of protein phosphatase 2A and retinoblastoma-associated protein 1 clearly suggested their importance in the development of liver cirrhosis. We hypothesized that miR-21 and miR-199a-3p may be promising non-invasive diagnostic biomarkers for the early diagnosis of liver cirrhosis. The miRNA-target regulatory network may provide additional insight into the current data regarding the role of miRNAs in liver cirrhosis.

Indexed as

liver cirrhosismicroRNA expressionmicroRNA-target genesmRNA expression

Identifiers

PMID29250171
PMCPMC5727606
OpenAlexW2765378995

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.