Quantitative proteomics reveal three potential biomarkers for risk assessment of acute myocardial infarction

Xie, Yao; Zhang, Hongzhou; Huang, Tieqiu

doi:10.1080/21655979.2022.2037365

Cited by 14 publications

(11 citation statements)

References 45 publications

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“…Finally, ECM remodeling is key for the reparative responses after AMI [ 4 , 42 ]. Interestingly, two of the previously published proteome studies of AMI also identified some of these processes: Xu et al [ 2 ] identified complement and coagulation cascades investigating 10 patients and 5 controls, while Xie et al identified processes related to response to wounding and wound healing investigating 8 patients and 8 controls [ 14 ]. As previously mentioned, these two studies were case-control studies performed after AMI had occurred, while the present study holds incident cases.…”

Section: Discussionmentioning

confidence: 99%

“…While initial studies applied laboratory techniques such as two-dimensional gel electrophoresis followed by mass spectrometry (MS), e.g., [10,11], recent improvements in MS methodology have enabled more unbiased and comprehensive analyses [12]. To the best of our knowledge, only the following three MS-based studies have investigated blood plasma from AMI patients and controls: Xu et al (2019) [2] measured 468 proteins in 10 patients and 5 controls; Pan et al (2020) [13] measured 950 proteins in 24 patients and 8 controls; and Xie et al (2022) [14] measured 789 proteins in 8 patients and 8 controls. In total, these studies reported 33, 95, and 72 differentially expressed proteins, respectively.…”

Section: Introductionmentioning

confidence: 99%

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A Mass Spectrometry-Based Proteome Study of Twin Pairs Discordant for Incident Acute Myocardial Infarction within Three Years after Blood Sampling Suggests Novel Biomarkers

Beck,

Skovgaard,

Mohammadnejad

et al. 2024

IJMS

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Acute myocardial infarction (AMI) is a major cause of mortality and morbidity worldwide, yet biomarkers for AMI in the short- or medium-term are lacking. We apply the discordant twin pair design, reducing genetic and environmental confounding, by linking nationwide registry data on AMI diagnoses to a survey of 12,349 twins, thereby identifying 39 twin pairs (48–79 years) discordant for their first-ever AMI within three years after blood sampling. Mass spectrometry of blood plasma identified 715 proteins. Among 363 proteins with a call rate > 50%, imputation and stratified Cox regression analysis revealed seven significant proteins (FDR < 0.05): FGD6, MCAM, and PIK3CB reflected an increased level in AMI twins relative to their non-AMI co-twins (HR > 1), while LBP, IGHV3-15, C1RL, and APOC4 reflected a decreased level in AMI twins relative to their non-AMI co-twins (HR < 1). Additional 50 proteins were nominally significant (p < 0.05), and bioinformatics analyses of all 57 proteins revealed biology within hemostasis, coagulation cascades, the immune system, and the extracellular matrix. A protein–protein-interaction network revealed Fibronectin 1 as a central hub. Finally, technical validation confirmed MCAM, LBP, C1RL, and APOC3. We put forward novel biomarkers for incident AMI, a part of the proteome field where markers are surprisingly rare and where additional studies are highly needed.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Mass Spectrometry-Based Proteome Study of Twin Pairs Discordant for Incident Acute Myocardial Infarction within Three Years after Blood Sampling Suggests Novel Biomarkers

Beck,

Skovgaard,

Mohammadnejad

et al. 2024

IJMS

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“…Just as many transcriptomic studies have identified essential biomarkers for MI; there are also proteomic analyses that reveal the presence of distinct proteins in post-MI exosomes that can be used as biomarkers for MI diagnosis [91]. analyzed the protein profile within the exosomes of post-MI patients, identifying 72 differentially expressed proteins.…”

Section: Small Extracellular Vesicle Proteomic Analyses In Myocardial...mentioning

confidence: 99%

Unraveling the Signaling Dynamics of Small Extracellular Vesicles in Cardiac Diseases

Caño-Carrillo,

Castillo-Casas,

Franco

et al. 2024

Cells

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Effective intercellular communication is essential for cellular and tissue balance maintenance and response to challenges. Cellular communication methods involve direct cell contact or the release of biological molecules to cover short and long distances. However, a recent discovery in this communication network is the involvement of extracellular vesicles that host biological contents such as proteins, nucleic acids, and lipids, influencing neighboring cells. These extracellular vesicles are found in body fluids; thus, they are considered as potential disease biomarkers. Cardiovascular diseases are significant contributors to global morbidity and mortality, encompassing conditions such as ischemic heart disease, cardiomyopathies, electrical heart diseases, and heart failure. Recent studies reveal the release of extracellular vesicles by cardiovascular cells, influencing normal cardiac function and structure. However, under pathological conditions, extracellular vesicles composition changes, contributing to the development of cardiovascular diseases. Investigating the loading of molecular cargo in these extracellular vesicles is essential for understanding their role in disease development. This review consolidates the latest insights into the role of extracellular vesicles in diagnosis and prognosis of cardiovascular diseases, exploring the potential applications of extracellular vesicles in personalized therapies, shedding light on the evolving landscape of cardiovascular medicine.

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“…Pan et al ( 161 ) used ITRAQ (Isobaric tags for relative and absolute quantification) combined with LC-MS/MS (Liquid chromatography-tandem mass spectrometer) technologies to identify 95 MI differential expression proteins related to carbon metabolism, toll-like receptor signal pathway and hypertrophic cardiomyopathy. The proteomics approach has led to the discovery of an increasing number of diagnostic biomarkers, such as plasminogen ( 162 ), complement C8 beta chain ( 162 ), coagulation factor II ( 162 ), alpha-1 acid glycoprotein 2 ( 163 ), corticosteroid-binding globulin ( 163 ), serotransferrin ( 163 ), lactate dehydrogenase ( 164 ), creatine kinase ( 164 ), haptoglobin ( 165 ), etc. In a mouse model, researchers conducted proteomic analysis and identified cardiac myosin binding protein-C (cMyBP-C) as a potential up-regulated biomarker for MI ( 166 ).…”

Section: Single-omics Approachesmentioning

confidence: 99%

From multi-omics approaches to personalized medicine in myocardial infarction

Zhan,

Tang,

et al. 2023

Front. Cardiovasc. Med.

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Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

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Quantitative proteomics reveal three potential biomarkers for risk assessment of acute myocardial infarction

Cited by 14 publications

References 45 publications

A Mass Spectrometry-Based Proteome Study of Twin Pairs Discordant for Incident Acute Myocardial Infarction within Three Years after Blood Sampling Suggests Novel Biomarkers

A Mass Spectrometry-Based Proteome Study of Twin Pairs Discordant for Incident Acute Myocardial Infarction within Three Years after Blood Sampling Suggests Novel Biomarkers

Unraveling the Signaling Dynamics of Small Extracellular Vesicles in Cardiac Diseases

From multi-omics approaches to personalized medicine in myocardial infarction

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