Cargando…

Screening of sphingolipid metabolism-related genes associated with immune cells in myocardial infarction: a bioinformatics analysis

BACKGROUND: Inflammation and immune cell infiltration in infarcted myocardial tissue are critical to myocardial infarction (MI) prognosis, and alterations in sphingolipid metabolism (SM) have been shown to potentially influence the inflammatory response and induce cardioprotection, but the underlyin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Jijuan, Wang, Ping, Wang, Weihua, Jin, Huiling
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442515/ https://www.ncbi.nlm.nih.gov/pubmed/36071762 http://dx.doi.org/10.21037/jtd-22-1041

Ejemplares similares

Bioinformatics analysis to screen for genes related to myocardial infarction
por: Yang, Liting, et al.
Publicado: (2022)

Bioinformatic screening for key miRNAs and genes associated with myocardial infarction
por: Wu, Ke, et al.
Publicado: (2018)

Lipidomics Revealed Alteration of Sphingolipid Metabolism During the Reparative Phase After Myocardial Infarction Injury
por: Hua, Tong, et al.
Publicado: (2021)

Screening and Identification of Potential Hub Genes in Myocardial Infarction Through Bioinformatics Analysis
por: Yu, Yong-Wei, et al.
Publicado: (2020)

Bioinformatics analysis identifies ferroptosis‑related genes in the regulatory mechanism of myocardial infarction
por: Jiang, Yong-Hao, et al.
Publicado: (2022)

Identification of immune-related genes in acute myocardial infarction based on integrated bioinformatical methods and experimental verification
por: Liu, Jian, et al.
Publicado: (2023)

Myocardial infarction differentially alters sphingolipid levels in plasma, erythrocytes and platelets of the rat
por: Knapp, Małgorzata, et al.
Publicado: (2012)

Bioinformatic Exploration for Prognostic Significance of Sphingolipid Metabolism-Related Genes in Invasive Ductal Carcinoma Using the Cancer Genome Atlas Cohort
por: Kim, Su-Jeong, et al.
Publicado: (2021)

Mutations in sphingolipid metabolism genes are associated with ADHD
por: Henriquez-Henriquez, Marcela, et al.
Publicado: (2020)

Sphingolipid Mediators of Myocardial Pathology
por: Kovilakath, Anna, et al.
Publicado: (2020)

Gene Therapy of Sphingolipid Metabolic Disorders
por: Shaimardanova, Alisa A., et al.
Publicado: (2023)

Integrated Bioinformatics-Based Analysis of Hub Genes and the Mechanism of Immune Infiltration Associated With Acute Myocardial Infarction
por: Wu, Yanze, et al.
Publicado: (2022)

Diagnosis, clustering, and immune cell infiltration analysis of m6A-related genes in patients with acute myocardial infarction—a bioinformatics analysis
por: Liang, Changzai, et al.
Publicado: (2022)

Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods
por: Guo, Siyu, et al.
Publicado: (2021)

Identification of potential biomarkers and immune cell infiltration in acute myocardial infarction (AMI) using bioinformatics strategy
por: Xie, Yun, et al.
Publicado: (2021)

Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses
por: Du, Yajuan, et al.
Publicado: (2020)

Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis
por: Ebadi, Nader, et al.
Publicado: (2023)

Editorial: Sphingolipid metabolism dysfunction in cancer
por: El Ridi, Rashika, et al.
Publicado: (2023)

Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction
por: Zhang, Lei, et al.
Publicado: (2021)

A Comprehensive Review: Sphingolipid Metabolism and Implications of Disruption in Sphingolipid Homeostasis
por: Quinville, Brianna M., et al.
Publicado: (2021)

Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics
por: You, Hongjun, et al.
Publicado: (2023)

Integrated Analysis and Validation of Autophagy-Related Genes and Immune Infiltration in Acute Myocardial Infarction
por: Ding, Yan, et al.
Publicado: (2022)

Computational modeling of sphingolipid metabolism
por: Wronowska, Weronika, et al.
Publicado: (2015)

Autophagy in the light of sphingolipid metabolism
por: Harvald, Eva Bang, et al.
Publicado: (2015)

Sphingolipid Metabolism in Systemic Inflammation
por: Deigner, H. P., et al.
Publicado: (2007)

Sphingolipid Metabolism in Systemic Inflammation
por: Deigner, H. P., et al.
Publicado: (2007)

Editorial: Sphingolipid metabolism and cancer
por: Ivanova, Margarita M., et al.
Publicado: (2022)

Bioinformatics strategies to identify differences in molecular biomarkers for ischemic stroke and myocardial infarction
por: Wang, Min, et al.
Publicado: (2023)

Identification of Featured Metabolism-Related Genes in Patients with Acute Myocardial Infarction
por: Xie, Hang, et al.
Publicado: (2020)

Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma
por: Chi, Hao, et al.
Publicado: (2022)

Bioactive Sphingolipids, Complement Cascade, and Free Hemoglobin Levels in Stable Coronary Artery Disease and Acute Myocardial Infarction
por: Jadczyk, T., et al.
Publicado: (2018)

Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis
por: Chen, Da-Qiu, et al.
Publicado: (2019)

Bioinformatics analysis and identification of hub genes associated with female acute myocardial infarction patients by using weighted gene co-expression networks
por: Jiao, Kun, et al.
Publicado: (2023)

Analysis of susceptibility genes and myocardial infarction risk correlation of ischemic cardiomyopathy based on bioinformatics
por: Zhang, Nai, et al.
Publicado: (2022)

Screening of periodontitis-related genes and immune cells based on an integrated bioinformatics analysis
por: Ban, Qiang, et al.
Publicado: (2022)

Identification of key programmed cell death-related genes and immune infiltration in extracorporeal membrane oxygenation treatment for acute myocardial infarction based on bioinformatics analysis
por: Yang, Jingqi, et al.
Publicado: (2022)

Systematic Bioinformatics Analysis Based on Public and Second-Generation Sequencing Transcriptome Data: A Study on the Diagnostic Value and Potential Mechanisms of Immune-Related Genes in Acute Myocardial Infarction
por: Tan, Xiaobing, et al.
Publicado: (2022)

Research on the circular RNA bioinformatics in patients with acute myocardial infarction
por: Yin, Lianli, et al.
Publicado: (2020)

Sphingolipid metabolism: roles in signal transduction and disruption by fumonisins.
por: Merrill, A H, et al.
Publicado: (2001)

The role of major immune cells in myocardial infarction
por: Feng, Qiang, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_mjcn8k3gigs1si8sj209rfhn43