Evidence map›Paper›PMID 32723322›Full record

ArticleLipids in health and disease2020

Microarray analysis of long non-coding RNA expression profiles in low high-density lipoprotein cholesterol disease.

Xinping Wang, Shuxia Guo, Yunhua Hu, Heng Guo, Xianghui Zhang, Yizhong Yan, Jiaolong Ma, Yu Li, Haixia Wang, Jia He and 1 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 1 institution in 1 country.

Xinping WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Shuxia GuoKey Laboratory of Xinjiang Endemic and Ethnic Diseases of the Ministry of Education, Shihezi University School of Medicine, Shihezi, China.
Yunhua HuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xianghui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yizhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jiaolong MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yu LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Haixia WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China. hejia123.shihezi@163.com.
Rulin MaKey Laboratory of Xinjiang Endemic and Ethnic Diseases of the Ministry of Education, Shihezi University School of Medicine, Shihezi, China. marulin@shzu.edu.cn.
Shihezi University · CN

Funding

Natural Science Foundation of Shihezi Universuty(CN) ZZZC201622
6 · The paper itself

Abstract

backgroundLow high-density lipoprotein cholesterol (HDL-C) disease with unknown etiology has a high prevalence in the Xinjiang Kazak population. In this study, long noncoding RNAs (lncRNAs) that might play a role in low HDL-C disease were identified.

methodsPlasma samples from 10 eligible individuals with low HDL disease and 10 individuals with normal HDL-C levels were collected. The lncRNA profiles for 20 Xinjiang Kazak individuals were measured using microarray analysis.

resultsDifferentially expressed lncRNAs and mRNAs with fold-change values not less than 1.5 and FDR-adjusted P-values less than 0.05 were screened. Bioinformatic analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and network analyses, were used to determine relevant signaling pathways and predict potential target genes. In total, 381 lncRNAs and 370 mRNAs were differentially expressed based on microarray analysis. Compared with those in healthy individuals, several lncRNAs were upregulated or downregulated in patients with low HDL-C disease, among which TCONS_00006679 was most significantly upregulated and TCONS_00011823 was most significantly downregulated. GO and KEGG pathway analyses as well as co-expression networks of lncRNAs and mRNAs revealed that the platelet activation pathway and cardiovascular disease were associated with low HDL-C disease.

conclusionsPotential target genes integrin beta-3 (ITGB3) and thromboxane A2 receptor (TBXA2R) were regulated by the lncRNAs AP001033.3-201 and AC068234.2-202, respectively. Both genes were associated with cardiovascular disease and were involved in the platelet activation pathway. AP001033.3-201 and AC068234.2-202 were associated with low HDL-C disease and could play a role in platelet activation in cardiovascular disease. These results reveal the potential etiology of dyslipidemia in the Xinjiang Kazakh population and lay the foundation for further validation using large sample sizes.

Indexed as

AdultFemaleGene Expression ProfilingHumansLipoproteins, HDLMaleOligonucleotide Array Sequence AnalysisPlatelet ActivationRNA, Long NoncodingRNA, MessengerYoung AdultLipoproteins, HDLRNA, Long NoncodingRNA, MessengerGene chipITGB3Long non-coding RNALow HDL-C diseaseMicroarray analysisPlatelet activationTBXA2R

Identifiers

PMID32723322
PMCPMC7388226
OpenAlexW3046090364

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.