Retinal Endothelial Function, Physical Fitness and Cardiovascular Risk: A Diagnostic Challenge.
cardiovascular disease
flicker light-induced dilatation
microcirculation
physical activity
retinal vessel diameters
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2019
2019
Historique:
received:
15
03
2019
accepted:
17
06
2019
entrez:
24
7
2019
pubmed:
25
7
2019
medline:
25
7
2019
Statut:
epublish
Résumé
Dynamic retinal vessel analysis (DVA) is a new non-invasive method to quantify microvascular endothelial dysfunction by flicker light-induced dilatation (FID). FID has been shown to be impaired in type 2 diabetes as well as heart failure. The aim of the study was to analyze FID in healthy active versus healthy sedentary and cardiovascular (CV) risk patients in addition to corresponding static vessel diameters. Thirty-one healthy active (HA, mean age 60 ± 8 years), 33 healthy sedentary individuals (HS, 59 ± 7 years) and 76 sedentary patients with increased CV risk (SR, 58 ± 6 years) were included in this cross-sectional study. Group differences in CV risk factors and cardiorespiratory fitness, maximal arteriolar (ADmax) and venular (VDmax) dilatation as well as the arteriolar (AFarea) and venular (VFarea) area under the flicker curve were analyzed. The central retinal arteriolar and venular diameters were used to calculate the arteriolar-to-venular diameter ratio (AVR). HS [ADmax = 3.5 (2.1)%; AFarea = 48.2 (31.9)% FID can differentiate between sedentary low and high risk individuals. However, FID in healthy active persons (HA) seemed impaired with a concomitant higher AVR. We postulate that lower FID in HA may be explained by predilatated arterioles and a reduced dilatation reserve. We recommend combination of FID with analysis of retinal vessel diameters to differentiate functional non-responders from manifest microvascular endothelial dysfunction and, thereby, improve microvascular risk stratification in a personalized medicine approach. ClinicalTrials.gov: NCT02796976 (https://clinicaltrials.gov/ ct2/show/NCT02796976).
Identifiants
pubmed: 31333489
doi: 10.3389/fphys.2019.00831
pmc: PMC6624470
doi:
Banques de données
ClinicalTrials.gov
['NCT02796976']
Types de publication
Journal Article
Langues
eng
Pagination
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