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Sungha Park

Researcher at Yonsei University

Publications -  441
Citations -  9522

Sungha Park is an academic researcher from Yonsei University. The author has contributed to research in topics: Blood pressure & Medicine. The author has an hindex of 43, co-authored 410 publications receiving 7382 citations. Previous affiliations of Sungha Park include KAIST & National Institutes of Health.

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Immunosenescent CD8+ T Cells and C-X-C Chemokine Receptor Type 3 Chemokines Are Increased in Human Hypertension

TL;DR: Investigation of T cells from patients with hypertension revealed an increased fraction of immunosenescent CD8+ T cells and C-X-C chemokine receptor type 3 chemokines are increased in human hypertension, suggesting a role for T-cell–driven inflammation in hypertension.
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Role of inflammation in the pathogenesis of arterial stiffness.

TL;DR: There is rationale for targeting specific inflammatory pathways involved in arterial stiffness in the development of future drugs, including drugs that block the activation of the RAS system, among the major classes of anti hypertensive drugs.
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2018 Korean Society of Hypertension Guidelines for the management of hypertension: part II-diagnosis and treatment of hypertension

TL;DR: The revised guideline recommends the more intensive BP lowering in high risk patients including the elderly population and single pill combination drugs have multiple benefits, including maximizing reduction of BP, minimizing adverse effects, increasing adherence, and preventing cardiovascular disease (CVD) and target organ damage.
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RAGE signaling in inflammation and arterial aging.

TL;DR: A comprehensive summary on both recent findings and missing pieces of the RAGE puzzle is provided to provide a comprehensive summary of the biochemistry of RAGE.
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Serum cytokine profiles in healthy young and elderly population assessed using multiplexed bead-based immunoassays

TL;DR: The partial correlation analysis demonstrating the correlation between cytokine levels when controlled for gender, systolic blood pressure, total cholesterol, HDL cholesterol, triglyceride, and serum creatinine levels demonstrated that G- CSF, GM-CSF, and MCP-1 had significant negative correlations with age, whereas sCD40L and TGF-α had significant positive correlations.