Dataset Information

Altering sphingolipid metabolism attenuates cell death and inflammatory response after myocardial infarction

ABSTRACT: Altering sphingolipid metabolism attenuates cell death and inflammatory response after myocardial infarction

PROVIDER: PRJNA575025 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR10206100.fastq.gz	Fastqsanger.gz
	SRR10206101.fastq.gz	Fastqsanger.gz
	SRR10206102.fastq.gz	Fastqsanger.gz
	SRR10206103.fastq.gz	Fastqsanger.gz
	SRR10206104.fastq.gz	Fastqsanger.gz

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Project description:Risk stratification and management of acute myocardial infarction patients continue to be challenging despite considerable efforts made in the last decades by many clinicians and researchers. The aim of this study was to investigate the metabolomic fingerprint of acute myocardial infarction using nuclear magnetic resonance spectroscopy on patient serum samples and to evaluate the possible role of metabolomics in the prognostic stratification of acute myocardial infarction patients. <div>In total, 978 acute myocardial infarction patients were enrolled in this study; of these, 146 died and 832 survived during 2 years of follow-up after the acute myocardial infarction. Serum samples were analyzed via high-resolution 1H-nuclear magnetic resonance spectroscopy and the spectra were used to characterize the metabolic fingerprint of patients. Multivariate statistics were used to create a prognostic model for the prediction of death within 2 years after the cardiovascular event. </div><div>In the training set, metabolomics showed significant differential clustering of the two outcomes cohorts. A prognostic risk model predicted death with 76.9% sensitivity, 79.5% specificity, and 78.2% accuracy, and an area under the receiver operating characteristics curve of 0.859. These results were reproduced in the validation set, obtaining 72.6% sensitivity, 72.6% specificity, and 72.6% accuracy. Cox models were used to compare the known prognostic factors (for example, Global Registry of Acute Coronary Events score, age, sex, Killip class) with the metabolomic random forest risk score. In the univariate analysis, many prognostic factors were statistically associated with the outcomes; among them, the random forest score calculated from the nuclear magnetic resonance data showed a statistically relevant hazard ratio of 6.45 (p = 2.16×10-16). Moreover, in the multivariate regression only age, dyslipidemia, previous cerebrovascular disease, Killip class, and random forest score remained statistically significant, demonstrating their independence from the other variables. </div><div>For the first time, metabolomic profiling technologies were used to discriminate between patients with different outcomes after an acute myocardial infarction. These technologies seem to be a valid and accurate addition to standard stratification based on clinical and biohumoral parameters.</div>

Project description:Inflammatory response plays a bidirectional regulatory role in myocardial infarction (MI). TLR signaling pathway plays an important role in the development of inflammation. Additionally, we discovered that CCRR is an anti-arrhythmic lncRNA in a prior work. Here we show, it is decreased in mice with 3-day MI followed by a sharp increase of pro-inflammatory cytokines and activation of the TLR pathway. Overexpression of CCRR could effectively inhibit the inflammatory response, reduce the infarct area, and improve cardiac function. And also reduced hypoxia-induced inflammation in cardiomyocytes and macrophages induced by IFN and LPS. It produced a similar protective effect in cardiomyocytes co-cultured with macrophages. Through microarray analysis, RNA-binding protein immunoprecipitation analysis, and other related experiments verification, TLR2 and TLR4 may be as potential targets of CCRR after MI. Our findings provide the evidence that lncRNA CCRR plays a key cardioprotective role against MI injury by targeting the TLR signaling pathway. nflammatory response plays a bidirectional regulatory role in myocardial infarction (MI). TLR signaling pathway plays an important role in the development of inflammation. Additionally, we discovered that CCRR is an anti-arrhythmic lncRNA in a prior work. Here we show, it is decreased in mice with 3-day MI followed by a sharp increase of pro-inflammatory cytokines and activation of the TLR pathway. Overexpression of CCRR could effectively inhibit the inflammatory response, reduce the infarct area, and improve cardiac function. And also reduced hypoxia-induced inflammation in cardiomyocytes and macrophages induced by IFN and LPS. It produced a similar protective effect in cardiomyocytes co-cultured with macrophages. Through microarray analysis, RNA-binding protein immunoprecipitation analysis, and other related experiments verification, TLR2 and TLR4 may be as potential targets of CCRR after MI. Our findings provide the evidence that lncRNA CCRR plays a key cardioprotective role against MI injury by targeting the TLR signaling pathway.

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Altering sphingolipid metabolism attenuates cell death and inflammatory response after myocardial infarction

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