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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.
Afiliação
  • McCaffrey TA; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Toma I; The St. Laurent Institute, 317 New Boston Street, Woburn, MA 01801, United States of America.
  • Yang Z; Department of Microbiology, Immunology, and Tropical Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Katz R; True Bearing Diagnostics, 2450 Virginia Avenue, Washington, DC 20037, United States of America.
  • Reiner J; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Mazhari R; Department of Clinical Research and Leadership, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Shah P; True Bearing Diagnostics, 2450 Virginia Avenue, Washington, DC 20037, United States of America.
  • Falk Z; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Wargowsky R; Department of Medicine, Division of Cardiology, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Goldman J; Department of Medicine, Division of Cardiology, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Jones D; Department of Medicine, Division of Cardiology, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Shtokalo D; INOVA Heart and Vascular Institute, 3300 Gallows Road, Fairfax, VA 22042, United States of America.
  • Antonets D; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Jepson T; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Fetisova A; Department of Medicine, Division of Genomic Medicine, The George Washington University, 2300 I Street NW, Washington, DC 20037, United States of America.
  • Jaatinen K; SeqLL, Inc., 3 Federal Street, Billerica, MA 01821, United States of America.
  • Ree N; The St. Laurent Institute, 317 New Boston Street, Woburn, MA 01801, United States of America.
  • Ri M; A.P. Ershov Institute of Informatics Systems SB RAS, 6, Acad. Lavrentyeva Ave, Novosibirsk 630090, Russia.
Article em En | MEDLINE | ID: mdl-37303712
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: J Mol Cell Cardiol Plus Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: J Mol Cell Cardiol Plus Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos