Vascular Aging and Disease of the Large Vessels: Role of Inflammation

Maloberti, Alessandro; Vallerio, Paola; Triglione, Nicola; Occhi, Lucia; Panzeri, Francesco; Bassi, Ilaria; Pansera, Francesco; Piccinelli, Enrico; Peretti, Alessio; Garatti, Laura; Palazzini, Matteo; Sun, Jing; Grasso, E; Giannattasio, Cristina

doi:10.1007/s40292-019-00318-4

Cited by 54 publications

(43 citation statements)

References 100 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cross-sectional design of this study does not permit inferences of causality in the associations found between an unfavorable vascular status, and an increased body fat percentage and CRP. However, a wealth of evidence from the 1980's and onwards has indicated inflammation as a main mediator in the progressive endothelial dysfunction that is seen in atherosclerosis [14,61]. Similarly, childhood obesity is linked to an increased cardiovascular risk in adulthood compared to individuals whose obesity started in adulthood [62,63].…”

Section: Discussionmentioning

confidence: 99%

“…Physiological measurements of vascular stiffness and vessel wall thickness serve as surrogate risk markers of future cardiovascular risk [10,11]. Well-established and widely used vascular measures are carotid intima-media thickness (cIMT), pulse wave velocity (PWV) and augmentation index (AIX) [12][13][14]. They measure different vascular properties in distinct parts of the arterial tree, but are not entirely independent of each other, and covary to some extent [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Body fat percentage and CRP correlates with a composite score of vascular risk markers in healthy, young adults - The Lifestyle, Biomarkers, and Atherosclerosis (LBA) study

Pettersson-Pablo

Cao

Bäckström

et al. 2020

BMC Cardiovasc Disord

View full text Add to dashboard Cite

Background: Identification of early signs of atherosclerosis in young adults have the potential to guide early interventions to prevent later cardiovascular disease. We therefore analyzed measures of vascular structure and function and biomarkers of cardiovascular risk in a sample of young healthy adults. Methods: Pulse-wave velocity (PWV), carotid-intima media thickness (cIMT) and augmentation index (AIX) were measured in 834 healthy non-smokers (ages 18.0-25.9). Emphasis was put on discriminating between individuals having a vascular structure and function associated with a higher or lower risk, and cluster analysis algorithms were employed to assign the subjects into groups based on these vascular measurements. In addition, a vascular status score (VSS) was calculated by summarizing the results according to quintiles of the vascular measurements. The associations between VSS and cardiovascular biomarkers were examined by regression analyses. Results: The cluster analyses did not yield sufficiently distinct clustering (groups of individuals that could be categorized unequivocally as having either a vascular structure and function associated with a higher or lower CVD risk). VSS proved a better classificatory variable. The associations between VSS and biomarkers of cardiovascular risk were analyzed by univariable and multivariable regressions. Only body fat percentage and C-reactive protein (CRP) were independently associated with VSS. Conclusions: A VSS calculation, which integrates PWV, cIMT, and AIX measurements is better suited for cardiovascular risk evaluation in young adults than cluster analyses. The independent associations of VSS with body fat percentage and CRP highlight the decisive role of adiposity and systemic inflammation in early atherosclerotic progression and suggests a subordinate role of insulin and lipid metabolism in this age span.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Body fat percentage and CRP correlates with a composite score of vascular risk markers in healthy, young adults - The Lifestyle, Biomarkers, and Atherosclerosis (LBA) study

Pettersson-Pablo

Cao

Bäckström

et al. 2020

BMC Cardiovasc Disord

View full text Add to dashboard Cite

show abstract

“…Other study limitations include the young age of the cohort, they were all Caucasian and their healthy status. Thus, the accuracy of PWV measures and the relationships observed between PWV, blood pressure and body mass may be specific to this study population and may not represent individuals at higher risk for developing cardiovascular disease such as older individuals and those with hypertension [35]. However, this age category is one of the largest consumers of this technology.…”

Section: Discussionmentioning

confidence: 99%

Withings Body Cardio Versus Gold Standards of Pulse-Wave Velocity and Body Composition

Collier

McCraw

Campany

et al. 2020

JPM

View full text Add to dashboard Cite

Home blood pressure monitors are widely used by consumers yet cardiovascular health may be better defined by pulse-wave velocity (PWV). So far, the Withings Body Cardio scale is the only consumer device that has been designed to measure PWV and body composition, including fat mass (FM) and fat-free mass (FFM), in the home setting. While one study has demonstrated that this device meets the acceptable accuracy standards of the ARTERY Society, no study has accounted for the gravitational effect of standing on a scale on aortic-leg PWV. Purpose: The purpose of this study was to assess the accuracy of PWV and body composition as determined by the Body Cardio scale. Methods: Measurements of PWV and body composition in healthy, young males and females (n = 20) using the Body Cardio device were compared to PWV assessed by applanation tonometry (SphygmoCor) and body composition analysis determined by air displacement plethysmography (Bod Pod). Bland–Altman analysis and mean absolute percent error (MAPE) were used to assess accuracy. Results: Data are reported as the mean bias (95% confidence interval). The Body Cardio overestimated PWV by 0.68 m/s (−0.16, 1.51) and FM by 2.91 kg (−2.91, 8.73). Body Cardio PWV and FM estimations had a MAPE of 9.7% and 25.8%, respectively. The Body Cardio underestimated body mass (BM) and FFM by 0.11 kg (−0.41, 0.18) and 2.87 kg (−9.04, 3.30), respectively. Body Cardio BM and FFM estimations had a MAPE of 0.15% and 5.6%, respectively. Conclusions: The Body Cardio scale provides accurate measures of BM and PWV; however, it should be used cautiously for measures of FM and FFM.

show abstract

“…Arterial aging is accompanied by vascular remodeling with vascular elastin degeneration, collagen deposition in the arterial wall, endothelial dysfunction, and increases in arterial stiffness [11,24]. During long-term follow-up in patients who underwent KT, progressive arterial stiffening was also found [25].…”

Section: Discussionmentioning

confidence: 99%

“…PWV is a reliable and non-invasive method which represents predictive and categorized value for vascular dysfunction assessment [6,7,8]. Both brachial–ankle PWV (baPWV) and carotid–femoral PWV (cfPWV) can be used to determine arterial stiffness, which was proven to be associated with CVD as well [9,10,11]. In addition, baPWV can be measured easily and is a prognostic marker for peripheral arterial stiffness (PAS) [6,7].…”

Section: Introductionmentioning

confidence: 99%

Association of Low Serum l-Carnitine Levels with Peripheral Arterial Stiffness in Patients Who Undergo Kidney Transplantation

Lai

Lee

et al. 2019

Nutrients

View full text Add to dashboard Cite

l-carnitine is an important co-factor in fatty-acid metabolism, and its deficiency is associated with insulin resistance, which is independently associated with arterial stiffness. This study evaluated the relationship between serum l-carnitine level and peripheral arterial stiffness (PAS) in kidney transplantation (KT). Fasting blood samples were collected from 65 patients who underwent KT. We measured the brachial–ankle pulse wave velocity, and 36 patients (55.4%) had PAS. Patients with PAS had a significantly higher percentage of diabetes (p = 0.001), hypertension (p = 0.033), and metabolic syndrome (p = 0.044); higher waist circumference (p = 0.010), systolic blood pressure (p = 0.002), serum triglyceride level (p = 0.040), insulin level (p = 0.002), and homeostasis model assessment of insulin resistance (p = 0.002); lower high-density lipoprotein cholesterol (p = 0.036) and serum l-carnitine levels (p < 0.001); older age (p = 0.041); and a longer KT duration (p = 0.025) than those without PAS. Statistical analysis revealed an independent association between PAS in KT and KT duration (95% confidence interval (CI): 1.003–1.054, p = 0.029) and serum l-carnitine levels (95% CI: 0.842–0.998, p = 0.044). The area under the receiver operating characteristic curve indicated that the diagnostic power of l-carnitine to predict PAS was 0.789 (95% CI: 0.670–0.881, p < 0.001). Serum-free l-carnitine level is negatively associated with PAS in patients who undergo KT.

show abstract

Vascular Aging and Disease of the Large Vessels: Role of Inflammation

Cited by 54 publications

References 100 publications

Body fat percentage and CRP correlates with a composite score of vascular risk markers in healthy, young adults - The Lifestyle, Biomarkers, and Atherosclerosis (LBA) study

Body fat percentage and CRP correlates with a composite score of vascular risk markers in healthy, young adults - The Lifestyle, Biomarkers, and Atherosclerosis (LBA) study

Withings Body Cardio Versus Gold Standards of Pulse-Wave Velocity and Body Composition

Association of Low Serum l-Carnitine Levels with Peripheral Arterial Stiffness in Patients Who Undergo Kidney Transplantation

Contact Info

Product

Resources

About