Evidence map›Paper›PMID 35734237›Full record

ArticleJournal of diabetes research2022

UTP14A, DKC1, DDX10, PinX1, and ESF1 Modulate Cardiac Angiogenesis Leading to Obesity-Induced Cardiac Injury.

Xiaoyu Pan, Shuchun Chen, Xing Chen, Qingjuan Ren, Lin Yue, Shu Niu, Zelin Li, Ruiyi Zhu, Xiaoyi Chen, Zhuoya Jia and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. 1-L Transcription of SARS-CoV-2 Spike Protein S1 Subunit.International journal of molecular sciences · 2024
    Article
  4. Effect of Semaglutide and Empagliflozin on Pulmonary Structure and Proteomics in Obese Mice.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
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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.

Xiaoyu PanDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0001-6608-2107
Shuchun ChenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0000-0002-7747-3901
Xing ChenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Qingjuan RenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Lin YueDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Shu NiuDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Zelin LiDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Ruiyi ZhuDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Xiaoyi ChenDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, China.
Zhuoya JiaDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Ruoxi ZhenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, China.
Jiangli BanDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, China.
Hebei Medical University · CNHebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study is aimed at exploring the key genes and the possible mechanism of heart damage caused by obesity. Methods: We analyzed the GSE98226 dataset. Firstly, differentially expressed genes (DEGs) were identified in heart tissues of obese and normal mice. Then, we analyzed DEGs using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Thirdly, we constructed a protein-protein interaction (PPI) network and key modules and searched hub genes. Finally, we observed the pathological changes associated with obesity through histopathology. Results: A total of 763 DEGs were discovered, including 629 upregulated and 134 downregulated genes. GO enrichment analysis showed that these DEGs were mainly related to the regulation of transcription, DNA-templated, nucleic acid binding, and metal ion binding. KEGG pathway analysis revealed that the DEGs were enriched in long-term depression, gap junction, and sphingolipid signaling pathways. Finally, we identified UTP14A, DKC1, DDX10, PinX1, and ESF1 as the hub genes. Histopathologic analysis showed that obesity increased the number of collagen fibers and decreased the number of microvessels and proliferation of the endothelium and increased endothelial cell damage which further leads to dysfunction of cardiac microcirculation. Conclusion: UTP14A, DKC1, DDX10, PinX1, and ESF1 have been identified as hub genes in obesity-induced pathological changes in the heart and may be involved in obesity-induced cardiac injury by affecting cardiac microcirculatory function.

Indexed as

Gene Expression ProfilingHeart InjuriesAnimalsCell Cycle ProteinsComputational BiologyGene Expression Regulation, NeoplasticGene Regulatory NetworksMiceMicrocirculationObesityTumor Suppressor ProteinsCell Cycle ProteinsPinx1 protein, mouseTumor Suppressor Proteins

Identifiers

PMID35734237
PMCPMC9208995
OpenAlexW4282827791

What Socratic 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 Socratic graph.