ArticleJournal of healthcare engineering2021
Autophagy-Related Genes in Atherosclerosis.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Effects of Different Feeding Modes on Growth Performance, Blood Biochemistry, and Metabolism of Yushu Yaks During the Cold Season.Animals : an open access journal from MDPI · 2026Article
- Nanomedicine-Enabled/Augmented Cell Autophagy to Mitigate and Boycott the Development and Progression of Atherosclerotic Plaque.International journal of nanomedicine · 2026Review
- Prolonged Survival with Dieting for Improved Autophagy.Non-coding RNA · 2025Review
- Rescuing lysosomal/autophagic defects via nanoapproach: implications for lysosomal/autophagic defect-related diseases.Journal of Zhejiang University. Science. B · 2025Review
- Characterization of caffeine response regulatory variants in vascular endothelial cells.eLife · 2024Article
- Molecular Linkage between Immune System Disorders and Atherosclerosis.Current issues in molecular biology · 2023Review
- New Dawn for Atherosclerosis: Vascular Endothelial Cell Senescence and Death.International journal of molecular sciences · 2023Review
- Identification of Potentially Functional Circular RNA/Long Noncoding RNA-MicroRNA-mRNA Regulatory Networks Associated with Vascular Injury in Type 2 Diabetes Mellitus by Integrated Microarray Analysis.Journal of diabetes research · 2023Article
- Integrated Analysis of Gene Expression and Methylation Data to Identify Potential Biomarkers Related to Atherosclerosis Onset.Oxidative medicine and cellular longevity · 2022Article
- The Integrated Analysis Identifies Three Critical Genes as Novel Diagnostic Biomarkers Involved in Immune Infiltration in Atherosclerosis.Frontiers in immunology · 2022Article
- Autophagy, Pyroptosis, and Ferroptosis: New Regulatory Mechanisms for Atherosclerosis.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Atherosclerosis (AS) is a common chronic vascular inflammatory disease and one of the main causes of cardiovascular/cerebrovascular diseases (CVDs). Autophagy-related genes (ARGs) play a crucial part in pathophysiological processes of AS. However, the expression profile of ARGs has rarely been adopted to explore the relationship between autophagy and AS. Therefore, using the expression profile of ARGs to explore the relationship between autophagy and AS may provide new insights for the treatment of CVDs. Methods: The differentially expressed ARGs of the GSE57691 dataset were obtained from the Human Autophagy Database (HADb) and the Gene Expression Omnibus (GEO) database, and the GSE57691 dataset contains 9 aortic atheroma tissues and 10 normal aortic tissues. The differentially expressed ARGs of the GSE57691 dataset were analyzed by protein-protein interaction (PPI), gene ontology analysis (GO), and Kyoto Encyclopedia of Genes and Genomes analysis (KEGG) and were chosen to explore related miRNAs/transcriptional factors. Results: The GSE57691 dataset had a total of 41 differentially expressed ARGs. The GO analysis results revealed that ARGs were mainly enriched in autophagy, autophagosome, and protein serine/threonine kinase activity. KEGG analysis results showed that ARGs were mainly enriched in autophagy-animal and longevity regulating signaling pathways. Expressions of ATG5, MAP1LC3B, MAPK3, MAPK8, and RB1CC1 were regarded as focus in the PPI regulatory networks. Furthermore, 11 related miRNAs and 6 related transcription factors were obtained by miRNAs/transcription factor target network analysis. Conclusions: Autophagy and ARGs may play a vital role in regulating the pathophysiology of AS.
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Registered trials
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.