Microarray and proteome array in an atherosclerosis mouse model for identification of biomarkers in whole blood

Sun Yeong Gwon, Hae Min Lee, Ki Jong Rhee, Ho Joong Sung

Research output: Contribution to journalArticle

Abstract

Cardiovascular disease (CVD) is highly fatal, and 80 percent of the mortality is attributed to heart attack and stroke. Atherosclerosis is a disease that increases a patient’s risk to CVD and is characterized by atheroma formed by immune cells, lipids, and smooth muscle cells. When an atherosclerotic lesion grows and blocks blood vessels or when an atheroma ruptures and blocks blood vessels by embolism, sudden angina, or stroke can occur. It is therefore important to diagnose atherosclerosis early and prevent its progression to more severe disease. Although myeloperoxidase, plasma fibrinogen, cardiac troponin-I, and C-reactive protein have been considered as diagnostic markers for multiple cardiac risks, specific biomarkers for atherosclerosis have not been clearly determined yet. Particularly, reliable biomarkers for the diagnosis of atherosclerosis using whole blood are not yet available. In this study, we screened potential biomarker genes and proteins from whole blood of apolipoprotein E knockout (ApoE-/-) mice maintained on a Western diet, by comparing them to ApoE+/+ mice. We used whole blood for microarray and proteome array. Candidate genes and proteins identified from each method were confirmed with quantitative real-time PCR and ELISA. Based on our data, we speculate that Lilrb4a, n-R5s136, and IL-5 are potential targets that can be developed into novel biomarkers of atherosclerosis. Our study contributes to the diagnosis of atherosclerosis using whole blood in clinical settings.

Original languageEnglish
Pages (from-to)882-892
Number of pages11
JournalInternational Journal of Medical Sciences
Volume16
Issue number6
DOIs
Publication statusPublished - 2019 Jan 1

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Proteome
Atherosclerosis
Biomarkers
Apolipoproteins E
Atherosclerotic Plaques
Blood Vessels
Cardiovascular Diseases
Stroke
Troponin C
Troponin I
Interleukin-5
Embolism
Knockout Mice
C-Reactive Protein
Fibrinogen
Peroxidase
Smooth Muscle Myocytes
Real-Time Polymerase Chain Reaction
Rupture
Proteins

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

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abstract = "Cardiovascular disease (CVD) is highly fatal, and 80 percent of the mortality is attributed to heart attack and stroke. Atherosclerosis is a disease that increases a patient’s risk to CVD and is characterized by atheroma formed by immune cells, lipids, and smooth muscle cells. When an atherosclerotic lesion grows and blocks blood vessels or when an atheroma ruptures and blocks blood vessels by embolism, sudden angina, or stroke can occur. It is therefore important to diagnose atherosclerosis early and prevent its progression to more severe disease. Although myeloperoxidase, plasma fibrinogen, cardiac troponin-I, and C-reactive protein have been considered as diagnostic markers for multiple cardiac risks, specific biomarkers for atherosclerosis have not been clearly determined yet. Particularly, reliable biomarkers for the diagnosis of atherosclerosis using whole blood are not yet available. In this study, we screened potential biomarker genes and proteins from whole blood of apolipoprotein E knockout (ApoE-/-) mice maintained on a Western diet, by comparing them to ApoE+/+ mice. We used whole blood for microarray and proteome array. Candidate genes and proteins identified from each method were confirmed with quantitative real-time PCR and ELISA. Based on our data, we speculate that Lilrb4a, n-R5s136, and IL-5 are potential targets that can be developed into novel biomarkers of atherosclerosis. Our study contributes to the diagnosis of atherosclerosis using whole blood in clinical settings.",
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Microarray and proteome array in an atherosclerosis mouse model for identification of biomarkers in whole blood. / Gwon, Sun Yeong; Lee, Hae Min; Rhee, Ki Jong; Sung, Ho Joong.

In: International Journal of Medical Sciences, Vol. 16, No. 6, 01.01.2019, p. 882-892.

Research output: Contribution to journalArticle

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