ArticleOxidative medicine and cellular longevity2022
Analysis of Immune and Inflammation Characteristics of Atherosclerosis from Different Sample Sources.
Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed, 20 citations in OpenAlex.
- Functional Heterogeneity of Immune Cell Subpopulations in Atherosclerosis: From Basic Mechanisms to Precision Therapy.Reviews in cardiovascular medicine · 2026Review
- Investigating the early diagnostic value of popliteal artery wall shear stress in lower extremity arterial disease in type 2 diabetes patients using color Doppler ultrasound combined with WSS quantitative analysis.Biomedical engineering online · 2026Article
- Unraveling key genes and mitochondrial-related mechanisms of atherosclerosis severity: explorations based on interpretable machine learning.BMC cardiovascular disorders · 2026Article
- Identification of NR4A2 as a Potential Predictive Biomarker for Atherosclerosis.Combinatorial chemistry & high throughput screening · 2026Article
- Exploring the comorbidity mechanisms between atherosclerosis and hashimoto's thyroiditis based on microarray and single-cell sequencing analysis.Scientific reports · 2025Article
- Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis.Journal of inflammation research · 2025Article
- Immune mechanisms in chronic kidney disease-mineral and bone disorder: current insights and therapeutic implications.Frontiers in medicine · 2025Review
- SLC4A10 impedes atherosclerosis by diminishing IFN-γ/GZMB levels of CD8Frontiers in immunology · 2025Article
- Identification of common mechanisms and biomarkers for dermatomyositis and atherosclerosis based on bioinformatics analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Anti-inflammatory effects of glucagon-like peptide-1 (GLP-1) in coronary artery disease: a comprehensive review.Frontiers in cardiovascular medicine · 2024Review
- Mechanisms and treatment of atherosclerosis: focus on macrophages.Frontiers in immunology · 2024Review
- Article
- Identification of key genes and pathways in atherosclerosis using integrated bioinformatics analysis.BMC medical genomics · 2023Article
- Atherosclerosis and Inflammation: Insights from the Theory of General Pathological Processes.International journal of molecular sciences · 2023Review
- Integrated Analysis of Immune Infiltration and Hub Pyroptosis-Related Genes for Multiple Sclerosis.Journal of inflammation research · 2023Article
- Uncovering the shared molecule and mechanism between ulcerative colitis and atherosclerosis: an integrative genomic analysis.Frontiers in immunology · 2023Article
- Identification of Immuno-Inflammation-Related Biomarkers for Acute Myocardial Infarction Based on Bioinformatics.Journal of inflammation research · 2023Article
- Anti-inflammatory therapy in atherosclerotic cardiovascular disease: Current reappraisal.Indian heart journalArticle
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Atherosclerosis is the predominant cause of cardiovascular diseases. Existing studies suggest that the development of atherosclerosis is closely related to inflammation and immunity, but whether there are differences and similarities between atherosclerosis occurring at different sites is still unknown. We elucidated the pathological characteristics of peripheral vascular diseases by using bioinformatic analyses on immune cells and inflammation-related gene expression in atherosclerotic arteries and plaques. Methods: Eight data sets regarding atherosclerosis were downloaded from the Gene Expression Omnibus database. Human immune genes were obtained from the IMMPORT website. The samples were scored and divided into high- and low-immune groups. Then the samples were analysed using weighted gene co-expression network analysis, while the modules were analysed using functional enrichment. The protein-protein interaction network was constructed using the STRING and Cytoscape databases. The hub immune genes were screened, and the correlation between hub immune genes and immune cells was analysed. Results: Immune cells and their functions were significantly different during atherosclerosis development. The infiltration proportion of immune cells was approximately similar in samples from different sources of patients with carotid atherosclerosis. However, the sensitivity of lower extremity atherosclerosis samples to immune cells is lower than that of carotid atherosclerosis samples.The samples from the plaque and artery were mainly infiltrated by macrophages, T cells and mast cells. After immune cells were assessed, resting NK cells, activated mast cells and M0 macrophages were found to be key immune cells in atherosclerosis and plaque formation. In addition, CCL4, TLR2, IL1B and PTPRC were considered to be immune marker genes in atherosclerosis development. Conclusion. Bioinformatic data analysis confirms the essential role of immune cells in cardiovascular diseases, and also indicates some differences of immune and inflammation characteristics of atherosclerosis between carotid and lower extremity arteries.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.