Evidence map›Paper›PMID 29154475›Full record

ArticleJournal of cellular and molecular medicine2018

Identification and analysis of a key long non-coding RNAs (lncRNAs)-associated module reveal functional lncRNAs in cardiac hypertrophy.

Jian Zhang, Chenchen Feng, Chao Song, Bo Ai, Xuefeng Bai, Yuejuan Liu, Xuecang Li, Jianmei Zhao, Shengshu Shi, Xin Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. The Long Noncoding RNA Gm9866/Nuclear Factor-Mediators of inflammation · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Noncoding RNAs in Cardiac Hypertrophy.Journal of cardiovascular translational research · 2018
    Review
  12. 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

12 authors at 2 institutions in 1 country.

Jian ZhangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Chenchen FengSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Chao SongDepartment of Pharmacology, Harbin Medical University, Daqing, China.
Bo AiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Xuefeng BaiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Yuejuan LiuSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Xuecang LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jianmei ZhaoSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Shengshu ShiCollege of Computer Science and Technology, Heilongjiang University, Harbin Medical University, Harbin, China.
Xin ChenCollege Food and Biological Engineering, Jimei University, Xiamen, China.
Xiaojie SuCollege of Medical Laboratory Science and Technology, Harbin Medical University, Daqing, China.
Chunquan LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.ORCID 0000-0002-4700-5496
Harbin Medical University · CNJimei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac hypertrophy (CH) is a common disease that originates from long-term heart pressure overload and finally leads to heart failure. Recently, long non-coding RNAs (lncRNAs) have attracted attention because they have broad and crucial functions in regulating complex biological processes. Some studies had found that lncRNAs play vital roles in complex cardiovascular diseases. However, the function and mechanism of lncRNAs in CH have not been elucidated. In our study, to investigate the potential roles of lncRNAs in CH, the Cardiac Hypertrophy-associated LncRNAs-Protein coding genes Network (CHLPN) was constructed by integrating gene microarray re-annotation and subpathway enrichment analyses. After performing random walking with restart in CHLPN, we predicted 21 significant risk lncRNAs, of which 7 (Kis2, 1700110K17Rik, Gm17501, E330017L17Rik, C630043F03Rik, Gm9866 and Ube4bos1) formed a close module with their co-expressed protein-coding genes (PCGs). We found that the module might play crucial roles in the development of CH. In particular, 44 PCGs that were co-expressed with six lncRNAs were enriched in CH-related biological processes and pathways. We also found that some lncRNAs participated in the competitive endogenous RNA cross-talk that might be involved in CH. These results indicate that the functional lncRNAs are related to post-transcriptional regulation and could shed light on a new molecular diagnostic target of CH.

Indexed as

AnimalsCardiomegalyCluster AnalysisGene Expression RegulationGene Regulatory NetworksMiceRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, Messengercardiac hypertrophyfunction predictionlong non-coding RNAsnetwork analysisrandom walk

Identifiers

PMID29154475
PMCPMC5783834
OpenAlexW2770133651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.