Evidence map›Paper›PMID 29310814›Full record

ArticleThe Kaohsiung journal of medical sciences2018

Microarray expression profile analysis of long non-coding RNAs in thoracic aortic aneurysm.

Yang Li, Nan Yang

Open access · goldAbstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Long non-coding RNAAnnals of translational medicine · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

2 authors at 2 institutions in 1 country.

Yang LiDepartment of General Surgery, Beijing Yuho Rehabilitation Hospital of Integrated Chinese and Western Medicine, Beijing, China. Electronic address: juxieyu2017@sina.com.
Nan YangDepartment of Stomatology, PLA 309th Hospital, Beijing, China.
Integrated Chinese Medicine (China) · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic aortic aneurysm (TAA) is a highly lethal vascular disease. Long non-coding RNAs (lncRNAs) are newly discovered as a regulator of protein genes and play critical roles in cardiovascular physio-pathological processes. However, there were a few studies looking at lncRNAs in TAA. In this study, we profiled differential expression of lncRNAs between TAA (TAA group, N = 6) and normal thoracic aorta (control group, n = 6) by third-generation lncRNA microarray. We identified 1352 up-regulated and 1624 down-regulated lncRNAs with differential expression (log fold-change > 2.0, p < 0.01). Through nearby protein-coding gene associated with extracellular matrix (ECM) metabolism and vascular smooth muscle cell (VSMC) apoptosis, 12 up-regulated and 9 down-regulated lncRNAs were selected for further analysis. By calculating phastCons score of base, we identified 8 candidate lncRNAs (4 up-regulated and 4 down-regulated) with high conservation across species. By tissue specificity analysis, we found that 5 lncRNAs (HIF1A-AS1, RP11-465L10.10, LOC100506472, CTD-2184D3.5 and RP-399O19.5) were highly expressed in aortic tissues, suggested that they may be closely associated with TAA. Among them, 2 lncRNAs (RP11-465L10.10 and CTD-2184D3.5) with higher specificity in aorta (p < 0.01) were analyzed by bioinformatics. Further catRAPID analysis revealed a strong RNA-protein interaction between RP11-465L10.10 and myeloid zinc finger gene 1 (MZF1), a transcription factor of MMP9. However, no intense RNA-protein interactions were observed between CTD-2184D3.5 and transcript factors of MAPK6. In conclusions, our study showed differential expression profiles of lncRNAs in TAA and revealed the interaction between certain lncRNAs and coding genes. These data provides insights into new biomarker and therapeutic targets for TAA.

Indexed as

AdultAorta, ThoracicAortic Aneurysm, ThoracicApoptosisBase SequenceCase-Control StudiesComputational BiologyExtracellular MatrixFemaleGene Expression ProfilingGene Expression RegulationHumansMaleMiddle AgedMuscle, Smooth, VascularMyocytes, Smooth MuscleRNA, Long NoncodingLong non-coding RNAMicroarrayThoracic aortic aneurysm

Identifiers

PMID29310814
PMCPMC11915593
OpenAlexW2763382624

What OpenQuestion holds

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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.