Evidence map›Paper›PMID 37559135›Full record

ArticleBiological research2023

Identification and analysis of key hypoxia- and immune-related genes in hypertrophic cardiomyopathy.

Haozhen Yu, Lanxin Gu, Linfang Du, Zhao Dong, Zhuang Li, Mujun Yu, Yue Yin, Yishi Wang, Lu Yu, Heng Ma

Open access · goldAbstract read
In one paragraph

Article in Biological research, 2023. 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
2.6field-weighted citation impact, top 10% 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, 17 citations in OpenAlex.

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  13. Identification ofFrontiers in molecular biosciences · 2024
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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

10 authors at 5 institutions in 2 countries.

Haozhen Yu *School of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, 712046, China.
Lanxin Gu *University of Southern California, Los Angeles, CA, 90089, USA.
Linfang Du *Medical School of Yan'an University, Yan'an University, Yan'an, 716000, China.
Zhao Dong *Department of General Practice, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Zhuang LiSchool of Basic Medical Sciences, Shaanxi University of Chinese Medicine, Xianyang, 712046, China.
Mujun YuMedical School of Yan'an University, Yan'an University, Yan'an, 716000, China.
Yue YinDepartment of Physiology and Pathophysiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Yishi WangDepartment of Physiology and Pathophysiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Lu YuDepartment of Pathology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. yulu@fmmu.edu.cn.
Heng MaDepartment of Physiology and Pathophysiology, School of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China. hengma@fmmu.edu.cn.ORCID http://orcid.org/0000-0002-1893-0658
Air Force Medical University · CNShaanxi University of Chinese Medicine · CNXijing Hospital · CNYan'an University · CNUniversity of Southern California · US

Funding

National Natural Science Foundation of China 82070261National Natural Science Foundation of China 82170251
6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM), an autosomal dominant genetic disease, is the main cause of sudden death in adolescents and athletes globally. Hypoxia and immune factors have been revealed to be related to the pathology of HCM. There is growing evidence of a role for hypoxia and inflammation as triggers and enhancers in the pathology in HCM. However, the role of hypoxia- and immune-related genes in HCM have not been reported.

methodsFirstly, we obtained four HCM-related datasets from the Gene Expression Omnibus (GEO) database for differential expression analysis. Immune cells significantly expressed in normal samples and HCM were then screened by a microenvironmental cell population counter (MCP-counter) algorithm. Next, hypoxia- and immune-related genes were screened by the LASSO + support vector machine recursive feature elimination (SVM-RFE) and weighted gene co-expression network analysis (WGCNA). Single-gene enrichment analysis and expression validation of key genes were then performed. Finally, we constructed a competing endogenous RNA (ceRNA) network of key genes.

resultsIn this study, 35 differentially expressed hypoxia genes were found. By using LASSO + SVM-RFE analysis, 10 more targets with differentially expressed hypoxia genes were identified. The MCP-count algorithm yielded five differentially expressed immune cells, and after assessing them for WGCNA characteristics, 612 immune genes were discovered. When hypoxia and immune genes were combined for cross-tabulation analysis, three hypoxia- and immune-related genes (ATP2A2, DDAH1, and OMA1) were identified.

conclusionBased on hypoxia characteristic genes, three key genes were identified. These were also significantly related to immune activation, which proves a theoretical basis and reference value for studying the relationship between HCM and hypoxia and immunity.

Indexed as

Cardiomyopathy, HypertrophicHypoxiaAdolescentGene Expression ProfilingHumansInflammationHub geneHypertrophic cardiomyopathyHypoxiaImmunity

Identifiers

PMID37559135
PMCPMC10410988
OpenAlexW4385705911

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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.