Cargando…
RNA sequencing of blood in coronary artery disease: involvement of regulatory 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. Surprisingly, despite well-established clinical indications, up to 40% of the one million invasi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414682/ https://www.ncbi.nlm.nih.gov/pubmed/34479557 http://dx.doi.org/10.1186/s12920-021-01062-2 |
_version_ | 1783747828311392256 |
---|---|
author | McCaffrey, Timothy A. Toma, Ian Yang, Zhaoquing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Tackett, Michael Jones, Dan Jepson, Tisha Falk, Zachary Wargodsky, Richard Shtakalo, Dmitry Antonets, Denis Ertle, Justin Kim, Ju H. Lai, Yinglei Arslan, Zeynep Aledort, Emily Alfaraidy, Maha Laurent, Georges St. |
author_facet | McCaffrey, Timothy A. Toma, Ian Yang, Zhaoquing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Tackett, Michael Jones, Dan Jepson, Tisha Falk, Zachary Wargodsky, Richard Shtakalo, Dmitry Antonets, Denis Ertle, Justin Kim, Ju H. Lai, Yinglei Arslan, Zeynep Aledort, Emily Alfaraidy, Maha Laurent, Georges St. |
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. Surprisingly, despite well-established clinical indications, up to 40% of the one million invasive cardiac catheterizations return a result of ‘no blockage’. The present studies employed RNA sequencing of whole blood to identify an RNA signature in patients with angiographically confirmed CAD. METHODS: Whole blood RNA was depleted of ribosomal RNA (rRNA) and analyzed by single-molecule sequencing of RNA (RNAseq) to identify transcripts associated with CAD (TRACs) in a discovery group of 96 patients presenting for elective coronary catheterization. The resulting transcript counts were compared between groups to identify differentially expressed genes (DEGs). RESULTS: Surprisingly, 98% of DEGs/TRACs were down-regulated ~ 1.7-fold in patients with mild to severe CAD (> 20% stenosis). The TRACs were independent of comorbid risk factors for CAD, such as sex, hypertension, and smoking. Bioinformatic analysis identified an enrichment in transcripts such as FoxP1, ICOSLG, IKZF4/Eos, SMYD3, TRIM28, and TCF3/E2A that are likely markers of regulatory T cells (Treg), consistent with known reductions in Tregs in CAD. A validation cohort of 80 patients confirmed the overall pattern (92% down-regulation) and supported many of the Treg-related changes. TRACs were enriched for transcripts associated with stress granules, which sequester RNAs, and ciliary and synaptic transcripts, possibly consistent with changes in the immune synapse of developing T cells. CONCLUSIONS: These studies identify a novel mRNA signature of a Treg-like defect in CAD patients and provides a blueprint for a diagnostic test for 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01062-2. |
format | Online Article Text |
id | pubmed-8414682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84146822021-09-09 RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance McCaffrey, Timothy A. Toma, Ian Yang, Zhaoquing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Tackett, Michael Jones, Dan Jepson, Tisha Falk, Zachary Wargodsky, Richard Shtakalo, Dmitry Antonets, Denis Ertle, Justin Kim, Ju H. Lai, Yinglei Arslan, Zeynep Aledort, Emily Alfaraidy, Maha Laurent, Georges St. BMC Med Genomics Research 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. Surprisingly, despite well-established clinical indications, up to 40% of the one million invasive cardiac catheterizations return a result of ‘no blockage’. The present studies employed RNA sequencing of whole blood to identify an RNA signature in patients with angiographically confirmed CAD. METHODS: Whole blood RNA was depleted of ribosomal RNA (rRNA) and analyzed by single-molecule sequencing of RNA (RNAseq) to identify transcripts associated with CAD (TRACs) in a discovery group of 96 patients presenting for elective coronary catheterization. The resulting transcript counts were compared between groups to identify differentially expressed genes (DEGs). RESULTS: Surprisingly, 98% of DEGs/TRACs were down-regulated ~ 1.7-fold in patients with mild to severe CAD (> 20% stenosis). The TRACs were independent of comorbid risk factors for CAD, such as sex, hypertension, and smoking. Bioinformatic analysis identified an enrichment in transcripts such as FoxP1, ICOSLG, IKZF4/Eos, SMYD3, TRIM28, and TCF3/E2A that are likely markers of regulatory T cells (Treg), consistent with known reductions in Tregs in CAD. A validation cohort of 80 patients confirmed the overall pattern (92% down-regulation) and supported many of the Treg-related changes. TRACs were enriched for transcripts associated with stress granules, which sequester RNAs, and ciliary and synaptic transcripts, possibly consistent with changes in the immune synapse of developing T cells. CONCLUSIONS: These studies identify a novel mRNA signature of a Treg-like defect in CAD patients and provides a blueprint for a diagnostic test for 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01062-2. BioMed Central 2021-09-03 /pmc/articles/PMC8414682/ /pubmed/34479557 http://dx.doi.org/10.1186/s12920-021-01062-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article McCaffrey, Timothy A. Toma, Ian Yang, Zhaoquing Katz, Richard Reiner, Jonathan Mazhari, Ramesh Shah, Palak Tackett, Michael Jones, Dan Jepson, Tisha Falk, Zachary Wargodsky, Richard Shtakalo, Dmitry Antonets, Denis Ertle, Justin Kim, Ju H. Lai, Yinglei Arslan, Zeynep Aledort, Emily Alfaraidy, Maha Laurent, Georges St. RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title | RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title_full | RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title_fullStr | RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title_full_unstemmed | RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title_short | RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance |
title_sort | rna sequencing of blood in coronary artery disease: involvement of regulatory t cell imbalance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414682/ https://www.ncbi.nlm.nih.gov/pubmed/34479557 http://dx.doi.org/10.1186/s12920-021-01062-2 |
work_keys_str_mv | AT mccaffreytimothya rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT tomaian rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT yangzhaoquing rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT katzrichard rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT reinerjonathan rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT mazhariramesh rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT shahpalak rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT tackettmichael rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT jonesdan rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT jepsontisha rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT falkzachary rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT wargodskyrichard rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT shtakalodmitry rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT antonetsdenis rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT ertlejustin rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT kimjuh rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT laiyinglei rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT arslanzeynep rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT aledortemily rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT alfaraidymaha rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance AT laurentgeorgesst rnasequencingofbloodincoronaryarterydiseaseinvolvementofregulatorytcellimbalance |