Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The Myocardial Infarction Platelet Transcriptome

ABSTRACT: Despite the abundance of data demonstrating the critical role of platelets in myocardial infarction (MI), few studies have characterized the MI-platelet transcriptome in the acute or chronic setting. The association between MI subtype and platelet transcriptomic signature have not been explored. We report that transcripts associated with actin cytoskeleton and Rho family GTPase signaling, mitochondrial dysfunction, and inflammatory signaling are enriched in platelets from MI patients in the acute setting (n=40 MI, n=38 controls), and do not significantly change over time. We identified 79 platelet genes chronically altered post-MI that are also associated with future cardiovascular events in independent cardiovascular disease validationcohort (n=135). Compared to patients with MI with non-obstructive coronary arteries (MINOCA), platelets from patients with MI due to obstructive coronary artery disease (MI-CAD) were enriched in neutrophil activation and proinflammatory signaling pathways driven by increased TNFα signaling. Hierarchical clustering identified three MI transcriptomic subgroups with disinctive pathways and MI correlates, including a group with MI-CAD, and a group that was predominantly MINOCA. Our data demonstrate that platelets from MI patients are phenotypically different from MI-naïve patients, in the acute and chronic setting, and reveal a transcriptomic signature with distinct clinical features.

ORGANISM(S): Homo sapiens

PROVIDER: GSE272178 | GEO | 2025/04/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transfer of Alarmins from Neutrophils to Platelets after Acute Myocardial Infarction

Project description:Platelets are central to the pathophysiology of myocardial infarction (MI). How the platelet proteome is altered during MI is unknown. We sought to describe changes in the platelet proteome at the time of MI and identify potential mechanisms. Platelets from patients experiencing ST-elevation myocardial infarction (STEMI) before and 3 days after treatment (n= 30), and a matched cohort of patients with severe stable coronary artery disease (CAD) prior to and 3 days after coronary artery bypass grafting (CABG, n=25) underwent quantitative proteomic analysis. Elevations of the alarmins S100A8 and S100A9 were detected at the time of STEMI compared with stable CAD (S100A8, FC = 2.00, FDR = 0.05; S100A9, FC = 2.28, FDR = 0.005). During STEMI, S100A8 mRNA and protein levels were correlated in platelets (R = 0.46, p = 0.012). To determine if protein synthesis occurs, activated platelets were incubated with 13C-labelled amino acids for 24 hours and analyzed by mass spectrometry. No incorporation was detected, consistent with the notion that protein synthesis in platelets is not a major contributor to the platelet proteome. Platelet abundance of S100A8 and A9 was strongly correlated with neutrophil abundance at the time of STEMI. When isolated platelets and neutrophils were co-incubated under quiescent and TRAP-6 activated conditions, release of S100A8 from neutrophils resulted in uptake of S100A8 by platelets. Leukocyte-to-platelet protein transfer, rather than protein synthesis, may occur in a thromboinflammatory environment such as STEMI, representing a potential new contributor in the innate immune pathogenesis of STEMI.

2023-11-15 | PXD024159 | Pride

Transfer of Alarmins from Neutrophils to Platelets after Acute Myocardial Infarction

Project description:Platelets are central to the pathophysiology of myocardial infarction (MI). How the platelet proteome is altered during MI is unknown. We sought to describe changes in the platelet proteome at the time of MI and identify potential mechanisms. Platelets from patients experiencing ST-elevation myocardial infarction (STEMI) before and 3 days after treatment (n= 30), and a matched cohort of patients with severe stable coronary artery disease(CAD) prior to and 3 days after coronary artery bypass grafting (CABG, n=25) underwent quantitative proteomic analysis. Elevations of the alarmins S100A8 and S100A9 were detected at the time of STEMI compared with stable CAD (S100A8, FC = 2.00, FDR = 0.05; S100A9, FC = 2.28, FDR = 0.005). During STEMI, S100A8 mRNA and protein levels were correlated in platelets (R = 0.46, p = 0.012). To determine if protein synthesis occurs, activated platelets were incubated with 13C-labelled amino acids for 24 hours and analyzed by mass spectrometry. No incorporation was detected, consistent with the notion that protein synthesis in platelets is not a major contributor to the platelet proteome. Platelet abundance of S100A8 and A9 was strongly correlated with neutrophil abundance at the time of STEMI. When isolated platelets and neutrophils were co-incubated under quiescent and TRAP-6 activated conditions, release of S100A8 from neutrophils resulted in uptake of S100A8 by platelets. Leukocyte-to-platelet protein transfer, rather than protein synthesis, may occur in a thromboinflammatory environment such as STEMI, representing a potential new contributor in the innate immune pathogenesis of STEMI.

2023-11-15 | PXD024186 | Pride

microRNA expression profiling of patients affected by first acute myocardial infarction (FAMI)

Project description:Background: Myocardial infarction (MI) is the single most critical event in coronary disease. Platelets partecipate in processes that precipitate acute MI, lack nuclear DNA but retain megakaryocyte mRNAs, thus their transcriptome could provide information preceding the coronary event. Our aim was to obtain a gene expression atlas of platelets from patients with their very first acute MI (FAMI) in order to identify potential markers of precipitating factors. Methods and results: Platelets from seventeen FAMI patients and matched controls were collected and RNA and protein were purified. Expression profiles were obtained with genome-wide microarrays. Platelet-specific proteomic analysis was also performed with fluorescent DIGE separation in the same samples. Strong transcriptional down-regulation was observed in patient platelets, whereas more balanced numbers of up and down-represented proteins were found by proteomic analysis. Conclusions: Platelet transcriptome revealed quantitative differences between FAMI patients and controls. The functional analysis deregulated mRNAs and the integration with proteomic data in platelets may suggest pre-activation of platelets and/or megakaryocytes in FAMI patients before the acute event.

2017-12-31 | GSE24548 | GEO

Gene expression profiling of patients affected by first acute myocardial infarction (FAMI)

2017-12-31 | GSE24519 | GEO

MicroRNA array analysis of platelets in premature coronary artery disease

Project description:Coronary artery disease (CAD) is the leading cause of human morbidity and mortality worldwide, underscoring the need to improve diagnostic strategies. Platelets play a major role, not only in the process of acute thrombosis during plaque rupture, but also in the formation of atherosclerosis itself. MicroRNAs are endogenous small non-coding RNAs that control gene expression and are expressed in a tissue and disease-specific manner. Therefore they have been proposed to be useful biomarkers. It remains unknown whether differences in miRNA expression levels in platelets can be found between patients with premature CAD and healthy controls. Methodology/Principal Findings In this case-control study we measured relative expression levels of platelet miRNAs using microarrays from 12 patients with premature CAD and 12 age- and sex-matched healthy controls. Six platelet microRNAs were significantly upregulated (miR340*, miR451, miR454*, miR545:9.1. miR615-5p and miR624*) and one miRNA (miR1280) was significantly downregulated in patients with CAD as compared to healthy controls. To validate these results, we measured the expression levels of these candidate miRNAs by qRT-PCR in platelets of individuals from two independent cohorts; validation cohort I consisted of 40 patients with premature CAD and 40 healthy controls and validation cohort II consisted of 27 patients with artery disease and 40 healthy relatives. MiR340* and miR624* were confirmed to be upregulated in patients with CAD as compared to healthy controls in both validation cohorts. Conclusion/Significance Two miRNAs in platelets are significantly upregulated in patients with CAD as compared to healthy controls. miRNA array analysis of isolated platelets from subjects with premature coronary artery disease compared to healthy control subjects.

2011-09-30 | E-GEOD-28858 | biostudies-arrayexpress

MicroRNA array analysis of platelets in premature coronary artery disease

2011-10-01 | GSE28858 | GEO

Platelet microRNA expression profiles of acute coronary syndrome patients with high and low platelet reactivity

Project description:To explore the diverse platelet microRNA (miRNA) expression between high platelet reactivity (HPR) and low platelet reactivity (LPR) patients with acute coronary syndromes (ACS), we enrolled a cohort of ACS patients and performed miRNA expression profiling of platelets from four HPR and four LPR patients using human miRNA microarray system. VerifyNow P2Y12 assay was applied to indentify HPR and LPR. Venous blood was drawn from the patients and was centrifuged to prepare platelets. Among the candidate differentially expressed miRNAs, miR-15b expression was further confirmed to be lower in platelets of 22 HPR patients than 17 LPR by quantitative reverse-transcription polymerase chain reaction (RT-qPCR). We enrolled a consecutive cohort of 290 ACS patients and assessed the platelet reactivity using VerifyNow P2Y12 assay. In this study, HPR was defined as M-bM-^IM-%300 platelet reactivity unit (PRU) while LPR <170 PRU. miRNA microarray analysis was performed in platelets of four HPR and four LPR patients with ACS.

2014-07-17 | E-GEOD-59488 | biostudies-arrayexpress

Functionally-relevant splicing of resident pre-mRNAs in anucleate platelets upon activation by physiological stimuli

Project description:Platelet activation is the key event triggering thrombus formation in physiological and pathological conditions, such as acute coronary syndromes. Current therapies using antiaggregants still fail to prevent thrombotic coronary events in a significant number of patients, indicating that the mechanisms modulating platelet response during activation need to be clarified. The evidence that platelets are capable of de novo protein synthesis in response to stimuli raised the issue of how the activity of megakaryocyte-derived mRNAs is regulated in these anucleate cell fragments. We applied a combined multi-omics approach to investigate this phenomenon in platelets from healthy donors activated in vitro with Collagen or Thrombin Receptor Activating Peptide. Combining HiRIEF LC-MS to transcriptome analysis by RNA-Seq allowed platelet proteome characterization at deep coverage, revealing a significant effect of either stimulus on proteome composition. In silico intron retention analysis was then applied to search for splicing events induced by platelet activation, coupled to unbiased proteogenomics, to correlate intron retention in resting platelets to intron removal by RNA splicing during activation. This allowed identification of a set of transcripts, specifically involved in platelet shape changes, showing reduced intron retention and high peptide representation at exon-exon junctions in activated vs resting platelets. These results indicate that RNA splicing events takes place in platelets during activation and that pre-mRNA maturation of specific transcripts is part of the activation cascade and could therefore provide novel molecular markers of platelet activation status in acute coronary syndromes and other pathological conditions.

2018-01-15 | E-MTAB-6148 | biostudies-arrayexpress

Platelet microRNA expression profiles of acute coronary syndrome patients with high and low platelet reactivity

2014-07-17 | GSE59488 | GEO

Altered gene expression pattern in peripheral blood mononuclear cells in patients with acute myocardial infarction

Project description:Despite a substantial progress in diagnosis and therapy, acute myocardial infarction (MI) is a major cause of mortality in the general population. A novel insight into the pathophysiology of myocardial infarction obtained by studying gene expression should help to discover novel biomarkers of MI and to suggest novel strategies of therapy. The aim of our study was to establish gene expression patterns in leukocytes from acute myocardial infarction patients. ST-segment elevation myocardial infarction alters expression of several groups of genes. On admission, several genes and pathways that could be directly or indirectly linked with lipid/glucose metabolism, platelet function and atherosclerotic plaque stability were affected (signaling of PPAR, IL-10, IL-6). Analysis at discharge highlighted specific immune response (upregulation of immunoglobulins). Highly significant and substantial upregulation of SOCS3 and FAM20 genes expression in the first 4-6 days of myocardial infarction in all patients is the most robust observation of our work Twenty-eight patients with ST-segment elevation myocardial infarction (STEMI) were included. The blood was collected on the 1st day of myocardial infarction, after 4-6 days, and after 6 months. Control group comprised 14 patients with stable coronary artery disease (CAD), without history of myocardial infarction. Gene expression analysis was performed with Affymetrix GeneChipM-BM-. Human Gene 1.0 ST microarrays and GCS3000 TG system.

2014-10-23 | E-GEOD-62646 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data