2011
DOI: 10.1016/j.cca.2011.02.030
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Time course proteomic profiling of human myocardial infarction plasma samples: An approach to new biomarker discovery

Abstract: Proteomic analysis by SELDI-TOF-MS technology combined with bioinformatics tools demonstrated differential expression during a 48 h time course suggests a potential role of some of these proteins as biomarkers for the very early stages of AMI, as well as for monitoring early cardiac ischemic recovery.

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Cited by 20 publications
(13 citation statements)
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“…In the last decade, there have been several efforts to dissect out cardiac mRNA and proteome in a wide array of cardiovascular diseases (McGregor and Dunn, 2006) using different animal models or plasma samples collected from human patients (Seenarain et al, 2010; Haas et al, 2011; Silbiger et al, 2011; Drastichova et al, 2012; Chowdhury et al, 2013; Marshall et al, 2014; Petriz and Franco, 2014). While novel biomarkers were identified from some of these studies (Haas et al, 2011; Silbiger et al, 2011; Chowdhury et al, 2013), authors reported general alterations in the cardiac transcriptome and proteome profile that suggested changes in Ca2+ handling proteins (Seenarain et al, 2010), energy metabolism proteins (Jin et al, 2006; Meng et al, 2009), and mediators of apoptotic signaling (Drastichova et al, 2012; Marshall et al, 2014; Petriz and Franco, 2014). …”
Section: Discussionmentioning
confidence: 99%
“…In the last decade, there have been several efforts to dissect out cardiac mRNA and proteome in a wide array of cardiovascular diseases (McGregor and Dunn, 2006) using different animal models or plasma samples collected from human patients (Seenarain et al, 2010; Haas et al, 2011; Silbiger et al, 2011; Drastichova et al, 2012; Chowdhury et al, 2013; Marshall et al, 2014; Petriz and Franco, 2014). While novel biomarkers were identified from some of these studies (Haas et al, 2011; Silbiger et al, 2011; Chowdhury et al, 2013), authors reported general alterations in the cardiac transcriptome and proteome profile that suggested changes in Ca2+ handling proteins (Seenarain et al, 2010), energy metabolism proteins (Jin et al, 2006; Meng et al, 2009), and mediators of apoptotic signaling (Drastichova et al, 2012; Marshall et al, 2014; Petriz and Franco, 2014). …”
Section: Discussionmentioning
confidence: 99%
“…Time course proteomic profiling has also identified multiple proteins differently expressed in the first 48 h after AMI. 298 Activation of the compliment system has also been shown by a recent proteomic analysis of plasma from patients with AMI. 299 Decreased plasma levels of soluble tumor necrosis factorlike weak inducer of apoptosis (sTWEAK) has been identified by using proteomic approach in patients with carotid stenosis, CAD, HF, PAD and abdominal aortic aneurysm (AAA).…”
Section: Proteomics and Metabolomicsmentioning
confidence: 92%
“…Both known biomarkers and novel candidates were discovered . A similar high‐abundance protein depletion strategy was used to discover biomarkers in patients diagnosed with an MI . More recently, a more powerful depletion strategy, IgY14‐supermix tandem depletion method, was utilized to seek predictive markers for near‐term MI .…”
Section: Quantitative Global Proteomics Methodsmentioning
confidence: 99%