Paul Pettersson-Pablo1,2,3, Torbjörn K Nilsson4, Lars H Breimer5,6, Anita Hurtig-Wennlöf7,8. 1. Department of Laboratory Medicine, Clinical Chemistry, Faculty of Medicine and Health, Örebro University Hospital, Södra Grevrosengatan 1, 703 62, Örebro, Sweden. paul.pettersson-pablo@regionorebrolan.se. 2. School of Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. paul.pettersson-pablo@regionorebrolan.se. 3. Department of Medical Biosciences/Clinical Chemistry, Umeå University, Umeå, Sweden. paul.pettersson-pablo@regionorebrolan.se. 4. Department of Medical Biosciences/Clinical Chemistry, Umeå University, Umeå, Sweden. 5. Department of Laboratory Medicine, Clinical Chemistry, Faculty of Medicine and Health, Örebro University Hospital, Södra Grevrosengatan 1, 703 62, Örebro, Sweden. 6. School of Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. 7. School of Health, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. 8. The Biomedical platform, Department of Natural Science and Biomedicine, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Abstract
BACKGROUND AND AIMS: In healthy, young adults we analyzed a panel of cardiovascular disease related proteins in plasma and compared them with the vascular health of the subjects. The aim was to identify proteins with a relationship to the early atherosclerotic process in healthy individuals. METHODS: We employed the proximity extension assay from OLINK proteomics to analyze 92 cardiovascular disease (CVD) related proteins on 833 subjects (men and women, ages 18-26). The women were further divided into an estrogen-using group and non-users. Protein expression was analyzed using principal component analysis (PCA). The following vascular examinations were performed: Pulse-wave velocity (PWV), augmentation index (AIX), carotid-intima media thickness (cIMT). RESULTS: Three principal components were obtained using PCA to analyze the protein expression. None of the obtained principal components correlated significantly with AIX or cIMT. One of the components, explaining 6% of the total variance of the data, was significantly correlated with PWV. Upon examination of the proteins with the highest factor loadings on this component independently in a multivariable model, adjusting for established CVD risk biomarkers, insulin-like growth factor-binding protein 1 (IGFBP-1) and insulin-like growth factor-binding protein 2 (IGFBP-2) were found to independently, negatively correlate with PWV. Among the established risk factors included in the multivariable model, age was significantly and adversely correlated with all vascular measurements. CONCLUSIONS: In this population of healthy, young adults, groups of CVD related proteins correlate with PWV, but not AIX or cIMT. This group of proteins, of which IGFBP-1 and IGFBP-2 were independently, negatively correlated in a multivariable model with PWV, could have benificial effects on vascular stiffness. The robust association between age and PWV, AIX and cIMT provide insight into the impact of aging on the vasculature, which is detectable even in a population of young, healthy, non-smoking individuals of ages spanning only 8 years.
BACKGROUND AND AIMS: In healthy, young adults we analyzed a panel of cardiovascular disease related proteins in plasma and compared them with the vascular health of the subjects. The aim was to identify proteins with a relationship to the early atherosclerotic process in healthy individuals. METHODS: We employed the proximity extension assay from OLINK proteomics to analyze 92 cardiovascular disease (CVD) related proteins on 833 subjects (men and women, ages 18-26). The women were further divided into an estrogen-using group and non-users. Protein expression was analyzed using principal component analysis (PCA). The following vascular examinations were performed: Pulse-wave velocity (PWV), augmentation index (AIX), carotid-intima media thickness (cIMT). RESULTS: Three principal components were obtained using PCA to analyze the protein expression. None of the obtained principal components correlated significantly with AIX or cIMT. One of the components, explaining 6% of the total variance of the data, was significantly correlated with PWV. Upon examination of the proteins with the highest factor loadings on this component independently in a multivariable model, adjusting for established CVD risk biomarkers, insulin-like growth factor-binding protein 1 (IGFBP-1) and insulin-like growth factor-binding protein 2 (IGFBP-2) were found to independently, negatively correlate with PWV. Among the established risk factors included in the multivariable model, age was significantly and adversely correlated with all vascular measurements. CONCLUSIONS: In this population of healthy, young adults, groups of CVD related proteins correlate with PWV, but not AIX or cIMT. This group of proteins, of which IGFBP-1 and IGFBP-2 were independently, negatively correlated in a multivariable model with PWV, could have benificial effects on vascular stiffness. The robust association between age and PWV, AIX and cIMT provide insight into the impact of aging on the vasculature, which is detectable even in a population of young, healthy, non-smoking individuals of ages spanning only 8 years.
Entities:
Keywords:
Principal component analysis; Proteomics; Vascular stiffness; cIMT
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