Repository logoRepository logo
Repository logo
Current header.fontsize.undefined
enpl
Log in to repository
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Publications
  3. Demo publications
  4. Relationship between Copper, Zinc, and Copper-to-Zinc Ratio in Hair and Severity of Coronary Artery Disease according to the SYNTAX Scores
    • Simple item page
    • Full metadata
    • Statistics

Relationship between Copper, Zinc, and Copper-to-Zinc Ratio in Hair and Severity of Coronary Artery Disease according to the SYNTAX Scores

Loading...
Thumbnail Image
Files
Kroemeke_Meaning-reconstruction factors and wellbeing..._Health Psychology - Kroemeke_Meaning-reconstruction factors and wellbeing..._Health Psychology(3).pdf (490.45 KB) Download PDF
Type
Monograph
Date issued
2023
Harvest date
2026-04-12
Author(s)
DOI
10.3390/biology12111407
Abstract
<jats:p>Coronary artery disease (CAD) continues to be a foremost contributor to global mortality, and the quest for modifiable risk factors could improve prophylactic strategies. Recent studies suggest a significant role of zinc (Zn) and copper (Cu) deficiency in atheromatous plaque formation. Furthermore, hair was previously described as a valuable source of information on elemental burden during the 6–8 week period before sampling. The aim of this study was to investigate the possibility of correlation between the extent of CAD evaluated with the SYNergy Between PCI With TAXUS and the Cardiac Surgery (SYNTAX) score with Cu and Zn content in hair samples, as well as with the Cu/Zn ratio in a cohort of 130 patients. Our findings describe a statistically significant inverse correlation between Cu content and the Cu/Zn ratio in hair samples and the extent of CAD. In contrast, no significant correlation was found between Zn content and the extent of CAD. Considering the scarcity of existing data on the subject, the analysis of hair samples could yield a novel insight into elemental deficiencies and their potential influence on CAD extent.</jats:p>
Project(s)

©2026

About this pageAccessibilityPrivacy policy
DSpace Softwareprovided byPCG Academia

©2026