Signature transcriptome analysis of stage specific atherosclerotic plaques of patients
preprint
OA: closed
Abstract
Background Inflammation plays an important role in all the stages of atherosclerotic plaque development. The current study aimed at assessing the altered expression of genes functioning in inflammation within the early stage (ES)and advanced stage (AS) atherosclerotic plaques obtained from patients undergoing coronary artery bypass grafting (CABG) surgery and identifying biomarker panel/sthat may detect the status of plaque stages using peripheral blood samples. Methods A section of ES and ASplaques and normal left internal mammary arteries (LIMA) were obtained from 8 patients undergoing theCABG surgery. Total RNA isolated was analysed for mRNA and miRNAexpression profile by Affymetrix arrays. Significant number of mRNAs was found to be differentially expressed in ES and ASplaque tissues relative to LIMA. The pathway analysis of differentially expressed mRNAs in the two plaque stages was also performed using DAVID Bioinformatics Database. Results The mRNAs were found to be involved in critical inflammatory processes such as Toll-like receptor signalling pathway and cytokine-cytokine receptor interaction. Few miRNAs targeting these mRNAs were also altered in the two plaque conditions. QRT-PCR results showedsimilar expression pattern of few of themRNAs and miRNAsin peripheral blood of same patients relative to healthy controls. Conclusion Changes in mRNA and miRNA expression associated with various inflammatory processes occur in different atherosclerotic stage plaques as well as peripheral blood. Detection of such variations in patients’ blood can be used as a possible prognostic tool to detect and/or predict the risk and stage of atherosclerosis.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-08-26T06:23:03.089193+00:00