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RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance
BACKGROUND: Cardiovascular disease had a global prevalence of 523 million cases and 18.6 million deaths in 2019. The current standard for diagnosing coronary artery disease (CAD) is coronary angiography either by invasive catheterization (ICA) or computed tomography (CTA). Prior studies employed sin...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256136/ https://www.ncbi.nlm.nih.gov/pubmed/37303712 http://dx.doi.org/10.1016/j.jmccpl.2023.100033 |
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author | McCaffrey, Timothy A. Toma, Ian Yang, Zhaoqing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Falk, Zachary Wargowsky, Richard Goldman, Jennifer Jones, Dan Shtokalo, Dmitry Antonets, Denis Jepson, Tisha Fetisova, Anastasia Jaatinen, Kevin Ree, Natalia Ri, Maxim |
author_facet | McCaffrey, Timothy A. Toma, Ian Yang, Zhaoqing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Falk, Zachary Wargowsky, Richard Goldman, Jennifer Jones, Dan Shtokalo, Dmitry Antonets, Denis Jepson, Tisha Fetisova, Anastasia Jaatinen, Kevin Ree, Natalia Ri, Maxim |
author_sort | McCaffrey, Timothy A. |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease had a global prevalence of 523 million cases and 18.6 million deaths in 2019. The current standard for diagnosing coronary artery disease (CAD) is coronary angiography either by invasive catheterization (ICA) or computed tomography (CTA). Prior studies employed single-molecule, amplification-independent RNA sequencing of whole blood to identify an RNA signature in patients with angiographically confirmed CAD. The present studies employed Illumina RNAseq and network co-expression analysis to identify systematic changes underlying CAD. METHODS: Whole blood RNA was depleted of ribosomal RNA (rRNA) and analyzed by Illumina total RNA sequencing (RNAseq) to identify transcripts associated with CAD in 177 patients presenting for elective invasive coronary catheterization. The resulting transcript counts were compared between groups to identify differentially expressed genes (DEGs) and to identify patterns of changes through whole genome co-expression network analysis (WGCNA). RESULTS: The correlation between Illumina amplified RNAseq and the prior SeqLL unamplified RNAseq was quite strong (r = 0.87), but there was only 9 % overlap in the DEGs identified. Consistent with the prior RNAseq, the majority (93 %) of DEGs were down-regulated ~1.7-fold in patients with moderate to severe CAD (>20 % stenosis). DEGs were predominantly related to T cells, consistent with known reductions in Tregs in CAD. Network analysis did not identify pre-existing modules with a strong association with CAD, but patterns of T cell dysregulation were evident. DEGs were enriched for transcripts associated with ciliary and synaptic transcripts, consistent with changes in the immune synapse of developing T cells. CONCLUSIONS: These studies confirm and extend a novel mRNA signature of a Treg-like defect in CAD. The pattern of changes is consistent with stress-related changes in the maturation of T and Treg cells, possibly due to changes in the immune synapse. |
format | Online Article Text |
id | pubmed-10256136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-102561362023-06-09 RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance McCaffrey, Timothy A. Toma, Ian Yang, Zhaoqing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Falk, Zachary Wargowsky, Richard Goldman, Jennifer Jones, Dan Shtokalo, Dmitry Antonets, Denis Jepson, Tisha Fetisova, Anastasia Jaatinen, Kevin Ree, Natalia Ri, Maxim J Mol Cell Cardiol Plus Article BACKGROUND: Cardiovascular disease had a global prevalence of 523 million cases and 18.6 million deaths in 2019. The current standard for diagnosing coronary artery disease (CAD) is coronary angiography either by invasive catheterization (ICA) or computed tomography (CTA). Prior studies employed single-molecule, amplification-independent RNA sequencing of whole blood to identify an RNA signature in patients with angiographically confirmed CAD. The present studies employed Illumina RNAseq and network co-expression analysis to identify systematic changes underlying CAD. METHODS: Whole blood RNA was depleted of ribosomal RNA (rRNA) and analyzed by Illumina total RNA sequencing (RNAseq) to identify transcripts associated with CAD in 177 patients presenting for elective invasive coronary catheterization. The resulting transcript counts were compared between groups to identify differentially expressed genes (DEGs) and to identify patterns of changes through whole genome co-expression network analysis (WGCNA). RESULTS: The correlation between Illumina amplified RNAseq and the prior SeqLL unamplified RNAseq was quite strong (r = 0.87), but there was only 9 % overlap in the DEGs identified. Consistent with the prior RNAseq, the majority (93 %) of DEGs were down-regulated ~1.7-fold in patients with moderate to severe CAD (>20 % stenosis). DEGs were predominantly related to T cells, consistent with known reductions in Tregs in CAD. Network analysis did not identify pre-existing modules with a strong association with CAD, but patterns of T cell dysregulation were evident. DEGs were enriched for transcripts associated with ciliary and synaptic transcripts, consistent with changes in the immune synapse of developing T cells. CONCLUSIONS: These studies confirm and extend a novel mRNA signature of a Treg-like defect in CAD. The pattern of changes is consistent with stress-related changes in the maturation of T and Treg cells, possibly due to changes in the immune synapse. 2023-06 2023-03-25 /pmc/articles/PMC10256136/ /pubmed/37303712 http://dx.doi.org/10.1016/j.jmccpl.2023.100033 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article McCaffrey, Timothy A. Toma, Ian Yang, Zhaoqing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Falk, Zachary Wargowsky, Richard Goldman, Jennifer Jones, Dan Shtokalo, Dmitry Antonets, Denis Jepson, Tisha Fetisova, Anastasia Jaatinen, Kevin Ree, Natalia Ri, Maxim RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title | RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title_full | RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title_fullStr | RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title_full_unstemmed | RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title_short | RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance |
title_sort | rnaseq profiling of blood from patients with coronary artery disease: signature of a t cell imbalance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256136/ https://www.ncbi.nlm.nih.gov/pubmed/37303712 http://dx.doi.org/10.1016/j.jmccpl.2023.100033 |
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