Evidence map›Paper›PMID 32888289›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

Identification of Hub Genes Associated with Hypertension and Their Interaction with miRNA Based on Weighted Gene Coexpression Network Analysis (WGCNA) Analysis.

Zongjin Li, Jacqueline Chyr, Zeyu Jia, Lina Wang, Xi Hu, Xiaoming Wu, Changxin Song

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Neighboring Gulf Killifish (Ecology and evolution · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Time-dependent changes in genome-wide gene expression and post-transcriptional regulation across the post-death process in silkworm.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Role of miR-182 in cardiovascular and cerebrovascular diseases.Frontiers in cell and developmental biology · 2023
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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 4 institutions in 2 countries.

Zongjin LiKey Laboratory of Tibetan Information Processing, Ministry of Education, Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province, School of Computer Application Technology, Qinghai Normal University, Xining, Qinghai, China (mainland).
Jacqueline ChyrSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Zeyu JiaSchool of Computer Application Technology, Qinghai Normal University, Xining, Qinghai, China (mainland).
Lina WangThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Xi HuThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Xiaoming WuThe Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China (mainland).
Changxin SongUrban Construction Vocational College, Shanghai, China (mainland).
Xi'an Jiaotong University · CNQinghai Normal University · CNHubei Urban Construction Vocational and Technological College · CNThe University of Texas Health Science Center at Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Hypertension is one of the most widespread health conditions in the world, and the molecular mechanism of it is still unclear. In this study, we identified the hub genes (hub miRNA genes) associated with hypertension and explored the relationship between hypertension miRNA-gene by constructing a mRNA co-expression network and a miRNA co-expression network, which can help to reveal the mechanism and predict the prognosis of hypertension progression. MATERIAL AND METHODS Based on gene expression profile data of hypertensive samples from the Gene Expression Omnibus database, WGCNA was used to detect hypertension-related biomarkers and key mRNA and miRNA modules. Then, DAVID was used to perform gene-annotation enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) and miRPath were used for pathway analysis of mRNA and miRNAs genes. RESULTS We identified 3 key modules relating to hypertension, 2 mRNA modules named Msaddlebrown and Mgreenyellow and 1 miRNA module named Msalmon. In addition, 12 hub genes (RPL21, RPS28, LOC442727/PTGAP10, LOC100129599/RPS29P14, TBXAS1, FCER1G, CFP, FURIN, PECAM1, IGSF6, NCF1C, and LOC285296/UNC93B3) and 7 hub miRNAs (hsa-miR-1268a/b, hsa-miR-513c-3p, hsa-miR-4799-5p, hsa-miR-296-3p, hsa-miR-5195-5p, hsa-miR-219-2-3p, and hsa-miR-548d-5p) relating to hypertension were identified. HIF-1 signaling pathway and insulin signaling pathway were closely related to the 3 key modules. We also discovered 4 miRNAs (hsa-miR-548am-3p, hsa-miR-513c-3p, hsa-miR-182-5p, and hsa-miR-548d-5p) and 6 genes (IGF1R, GSK3B, FOXO1, PRKAR2B, HIF1A, and PIK3R1) were the core nodes in the hypertension-related miRNA-gene network, and hsa-miR-548am-3p was at the center of the network. CONCLUSIONS These findings will help improve the understanding of the pathogenesis of hypertension, and the discovered genes can serve as signatures for early diagnosis of hypertension.

Indexed as

Computational BiologyGene Expression ProfilingGene Regulatory NetworksHumansHypertensionMicroRNAsTranscriptomeMicroRNAs

Identifiers

PMID32888289
PMCPMC7491244
OpenAlexW3083380970

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.