Literature DB >> 27399916

Integrated Omic Analysis of a Guinea Pig Model of Heart Failure and Sudden Cardiac Death.

D Brian Foster1, Ting Liu1, Kai Kammers2, Robert O'Meally3, Ni Yang1, Kyriakos N Papanicolaou1, C Conover Talbot4, Robert N Cole3, Brian O'Rourke1.   

Abstract

Here, we examine key regulatory pathways underlying the transition from compensated hypertrophy (HYP) to decompensated heart failure (HF) and sudden cardiac death (SCD) in a guinea pig pressure-overload model by integrated multiome analysis. Relative protein abundances from sham-operated HYP and HF hearts were assessed by iTRAQ LC-MS/MS. Metabolites were quantified by LC-MS/MS or GC-MS. Transcriptome profiles were obtained using mRNA microarrays. The guinea pig HF proteome exhibited classic biosignatures of cardiac HYP, left ventricular dysfunction, fibrosis, inflammation, and extravasation. Fatty acid metabolism, mitochondrial transcription/translation factors, antioxidant enzymes, and other mitochondrial procsses, were downregulated in HF but not HYP. Proteins upregulated in HF implicate extracellular matrix remodeling, cytoskeletal remodeling, and acute phase inflammation markers. Among metabolites, acylcarnitines were downregulated in HYP and fatty acids accumulated in HF. The correlation of transcript and protein changes in HF was weak (R(2) = 0.23), suggesting post-transcriptional gene regulation in HF. Proteome/metabolome integration indicated metabolic bottlenecks in fatty acyl-CoA processing by carnitine palmitoyl transferase (CPT1B) as well as TCA cycle inhibition. On the basis of these findings, we present a model of cardiac decompensation involving impaired nuclear integration of Ca(2+) and cyclic nucleotide signals that are coupled to mitochondrial metabolic and antioxidant defects through the CREB/PGC1α transcriptional axis.

Entities:  

Keywords:  heart failure; hypertrophy; mass spectrometry; median sweep; metabolic bottleneck; metabolome; pathway analysis; proteome; proteomics; transcriptome

Mesh:

Substances:

Year:  2016        PMID: 27399916      PMCID: PMC5779628          DOI: 10.1021/acs.jproteome.6b00149

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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