Evidence map›Paper›PMID 28587327›Full record

ArticleExperimental and therapeutic medicine2017

Microarray profiling of long non-coding RNAs associated with idiopathic pulmonary arterial hypertension.

Bing Han, Peili Bu, Xiao Meng, Xiaoyang Hou

RetractedOpen access · diamondAbstract readRetracted Publication
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Bing HanInternal Medicine-Cardiovascular Department, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.
Peili BuInternal Medicine-Cardiovascular Department, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.
Xiao MengInternal Medicine-Cardiovascular Department, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.
Xiaoyang HouInternal Medicine-Cardiovascular Department, Shandong Province-owned Hospital, Jinan, Shandong 250012, P.R. China.
Qilu Hospital of Shandong University · CNShandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary arterial hypertension (IPAH) is a fatal disease with a poor prognosis and the molecular pathways underlying the pathogenesis of IPAH are not fully understood. In the present study, the long non-coding RNA (lncRNA) and mRNA expression profiles of lymphocytes obtained from 12 IPAH patients and 12 healthy controls were analyzed using Arraystar Human lncRNA Microarray v2.0, and their roles in the pathogenesis of IPAH were characterized using comprehensive bioinformatic tools. A total of 2,511 lncRNAs (2,004 upregulated and 507 downregulated) and 1,169 mRNAs (609 upregulated and 560 downregulated) were aberrantly expressed in IPAH patients with a fold-change of >2.0. Gene ontology analysis indicated that the coexpressed lncRNAs and mRNAs were involved in the process of translation, while pathway analysis indicated that the coexpressed RNAs were enriched during the process of oxidative phosphorylation and in the ribosome. It was concluded that dysregulated lncRNAs are potentially associated with IPAH, and aberrant lncRNA expression in blood cells may serve as a diagnostic marker of IPAH.

Indexed as

gene ontologyKyoto Encyclopedia of Genes and Genomes pathwaylong non-coding RNApulmonary arterial hypertension

Identifiers

PMID28587327
PMCPMC5450750
OpenAlexW2964320927

What Socratic 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 Socratic graph.