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Single-Cell Omics Reveals Dyssynchrony of the Innate and Adaptive Immune System in Progressive COVID-19 [single-cell RNA-seq]

ABSTRACT: A dysregulated immune response against the SARS-CoV-2 virus plays a critical role in severe COVID-19. However, the molecular and cellular mechanisms by which the virus causes lethal immunopathology are poorly understood. Here, we utilize multi-omics single-cell analysis to probe dynamic immune responses in patients with stable or progressive manifestations of COVID-19, and assess the effects of tocilizumab, an anti-IL-6 receptor monoclonal antibody. Coordinated profiling of gene expression and cell lineage protein markers reveals a prominent type-1 interferon response across all immune cells, especially in progressive patients. An anti-inflammatory signature in monocytes and a pre-exhaustion phenotype in activated T cells are hallmarks of progressive disease. Single-cell T and B cell receptor repertoire analysis reveal a skewed clonal distribution of CD8 T cells and a primary B cell response with possible contribution from memory B cells. Our in-depth immune profiling reveals dyssynchrony of the innate and adaptive immune interaction in progressive COVID-19, which may contribute to delayed virus clearance and has implications for therapeutic intervention.

ORGANISM(S): Homo sapiens

PROVIDER: GSE155223 | GEO | 2021/04/05

REPOSITORIES: GEO

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Project description:Right ventricular free wall (RVFW) pacing results in left ventricular dyssynchrony with early septal shortening followed by late lateral contraction that reciprocally stretches the septum. Dyssynchrony is disadvantageous to cardiac mechano-energetics, yet little is known about its molecular consequences. We tested the hypothesis that dyssynchrony selectively alters regional gene expression in mice, employing a novel miniature implantable cardiac pacemaker. Mice were subjected to 1-week overdrive RVFW pacing (720 min-1, baseline HR 520-620 min-1) to induce dyssynchrony (pacemaker: 3V lithium battery, rate programmable, 0.8 grams, bipolar lead). Electrical capture was confirmed by pulsed-wave Doppler at implantation and terminal study, and dyssynchrony by echocardiography. Gene expression from left ventricular septal and lateral-wall myocardium were assessed by microarray (dual-dye method, Agilent) using oligonucleotide probes and dye swap. Identical analysis was applied to 4 synchronously contracting controls. Of 22,000 genes surveyed, only 18 genes displayed significant (p<0.01) differential expression between septal/lateral walls exceeding 1.5-fold relative to any disparities in synchronous controls. These changes were confirmed by qPCR with excellent correlations. Most (16) of the genes showed greater septal expression. Of particular interest were 7 genes coding proteins involved with stretch responses, matrix remodeling, stem cell differentiation to myocyte lineage, and Purkinje fiber differentiation. One-week cardiac dyssynchrony triggers regional differential expression differences in relatively few select genes. Such analysis using a murine implantable pacemaker should facilitate molecular studies of cardiac dyssynchrony and help elucidate novel mechanisms by which stress/stretch stimuli due to dyssynchrony impact the normal and failing heart. Keywords: Murine cardiac dyssynchrony and differential gene expression, Agilent, microarray, pacing

Project description:Right ventricular free wall (RVFW) pacing results in left ventricular dyssynchrony with early septal shortening followed by late lateral contraction that reciprocally stretches the septum. Dyssynchrony is disadvantageous to cardiac mechano-energetics, yet little is known about its molecular consequences. We tested the hypothesis that dyssynchrony selectively alters regional gene expression in mice, employing a novel miniature implantable cardiac pacemaker. Mice were subjected to 1-week overdrive RVFW pacing (720 min-1, baseline HR 520-620 min-1) to induce dyssynchrony (pacemaker: 3V lithium battery, rate programmable, 0.8 grams, bipolar lead). Electrical capture was confirmed by pulsed-wave Doppler at implantation and terminal study, and dyssynchrony by echocardiography. Gene expression from left ventricular septal and lateral-wall myocardium were assessed by microarray (dual-dye method, Agilent) using oligonucleotide probes and dye swap. Identical analysis was applied to 4 synchronously contracting controls. Of 22,000 genes surveyed, only 18 genes displayed significant (p<0.01) differential expression between septal/lateral walls exceeding 1.5-fold relative to any disparities in synchronous controls. These changes were confirmed by qPCR with excellent correlations. Most (16) of the genes showed greater septal expression. Of particular interest were 7 genes coding proteins involved with stretch responses, matrix remodeling, stem cell differentiation to myocyte lineage, and Purkinje fiber differentiation. One-week cardiac dyssynchrony triggers regional differential expression differences in relatively few select genes. Such analysis using a murine implantable pacemaker should facilitate molecular studies of cardiac dyssynchrony and help elucidate novel mechanisms by which stress/stretch stimuli due to dyssynchrony impact the normal and failing heart. Experiment Overall Design: Left ventricle segments from the mouse heart - septal and lateral, were isolated from 4 dyssynchronous mice that were kept separate. RNA from the synchronous mice were pooled into a control septal and lateral sample. Functional genomic analysis was conducted on these 10 RNA samples with fluorophore reversal, such that each sample was assayed on two different microarrays. Corresponding septal and lateral samples from the same heart were paired on the same microarray to measure the relative differences in gene expression between the different regions of the heart then differences were compared across multiple mice to find overlapping genes that were affected by the pacememaker implantation.

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Single-Cell Omics Reveals Dyssynchrony of the Innate and Adaptive Immune System in Progressive COVID-19 [single-cell RNA-seq]

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