| Literature DB >> 23923054 |
Vincent Daien1, Isabelle Carriere, Ryo Kawasaki, Jean-Paul Cristol, Max Villain, Pierre Fesler, Karen Ritchie, Cecile Delcourt.
Abstract
PURPOSE: Retinal vascular caliber has been linked with increased cardiovascular risk and is predictive of cardiovascular pathology, including stroke and coronary heart disease. Oxidative stress, as well as inflammatory mechanisms, plays a major role in the pathogenesis and progression of atherosclerosis, plaque rupture and vascular thrombotic propensity. The purpose of this study is to explore the relationship between retinal vascular calibers and biomarkers of oxidative stress and inflammation, in subjects free of cardiovascular pathology. PATIENTS AND METHODS: Cross-sectional analysis from a community-dwelling cohort comprising 1224 individuals aged 60 years and over, without a history of coronary or peripheral artery disease or stroke. Retinal vascular caliber was measured from fundus photographs using semi-automated standardized imaging software. Oxidative stress was evaluated using plasma superoxide dismutase 2 and glutathione peroxidase (GPx-3) activities, and inflammatory state was assessed using plasma high sensitivity C-reactive protein (hsCRP) and orosomucoid.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23923054 PMCID: PMC3724806 DOI: 10.1371/journal.pone.0071089
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the participants in the POLA Study.
| Characteristics of the Participants in the POLA Study | N = 1224 Included | N = 969 Not included | P value |
|
| 69.3 [64.4–72.9] | 71.7 [66.2–75.9] | 0.001 |
|
| 41.3 | 41.9 | 0.63 |
|
| 11.3 | 9.1 | 0.10 |
|
| 60.0 | 62.0 | 0.24 |
|
| |||
| Never (% ) | 60.3 | 60.2% | 0.33 |
| Current (% ) | 9.7 | 11.2% | |
| Past (% ) | 30.0 | 28.7% | |
|
| 26.5 (4.1) | 26.1 (4.1) | 0.08 |
|
| 5.75 (1.36) | 5.75 (1.45) | 0.21 |
|
| 5.80 (1.12) | 5.74 (1.03) | 0.39 |
|
| 1.40 (0.38) | 1.38 (0.37) | 0.21 |
|
| 1.26 (0.74) | 1.28 (1.04) | 0.89 |
|
| 72.8 (18.0) | 75.3 (39.2) | 0.15 |
|
| 3.62 (0.33) | 3.64 (0.41) | 0.93 |
|
| 0.82 (0.21) | 0.81 (0.22) | 0.16 |
|
| 1.21 (0.31) | 1.24 (0.32) | 0.18 |
|
| 678.9 (233.1) | 665.1 (213.0) | 0.19 |
|
| 141.0 (16.7) | – | – |
|
| 202.8 (21.1) | – | – |
SD: standard deviation; HDL: high-density-lipoprotein; eGFR: estimated Glomerular Filtration Rate from MDRD (Modification of the Diet in Renal Disease) formula; HsCRP: high-sensitivity C-reactive protein.
120 individuals were excluded due to missing data (10 for interview data, 110 for biochemical data). For 81 persons, photographs were not performed and for 307 the photographs were not available because of technical failure or opacities. For 461 participants, photographs were of insufficient quality for retinal vascular caliber measurement with semi-automated standardized software (rejection mainly due to default of centering on the optic disc).
Relationship of retinal vascular caliber with cardiovascular risk factors adjusted for age and gender.
| N | Retinal Arteriolar Caliber | Retinal Venular Caliber | |||||
| Cardiovascular Risk Factors | 1224 | Mean | Standard Error | P ANCOVA† | Mean | Standard Error | P ANCOVA† |
|
| |||||||
| 60–64 | 351 | 142.75 | 0.85 | <.0001 | 206.22 | 1.12 | <.0001 |
| 65–69 | 380 | 141.31 | 0.82 | 203.84 | 1.07 | ||
| 70–74 | 279 | 138.35 | 0.96 | 201.51 | 1.26 | ||
| 75–90 | 214 | 136.49 | 1.10 | 197.97 | 1.44 | ||
|
| |||||||
| Men | 505 | 135.57 | 0.72 | <.0001 | 202.84 | 0.94 | 0.45 |
| Women | 719 | 143.88 | 0.60 | 201.94 | 0.79 | ||
|
| |||||||
| Absent | 1086 | 139.92 | 0.51 | 0.55 | 202.33 | 0.67 | 0.87 |
| Present, Duration of <10 years | 86 | 138.20 | 1.73 | 202.14 | 2.27 | ||
| Present, Duration of ≥10 years | 52 | 138.60 | 2.22 | 203.83 | 2.91 | ||
|
| |||||||
| Never | 738 | 139.90 | 0.69 | 0.0008 | 200.81 | 0.91 | 0.006 |
| Current | 119 | 144.47 | 1.49 | 207.73 | 1.96 | ||
| Past | 367 | 138.07 | 0.89 | 203.35 | 1.17 | ||
|
| |||||||
| Normal | 445 | 140.27 | 0.78 | 0.56 | 200.83 | 1.02 | 0.0005 |
| Overweight | 577 | 139.64 | 0.67 | 201.76 | 0.88 | ||
| Obese | 202 | 138.84 | 1.13 | 207.53 | 1.47 | ||
|
| |||||||
| Normotensive | 489 | 141.93 | 0.76 | 0.0002 | 203.61 | 0.99 | 0.12 |
| Hypertensive | 735 | 138.41 | 0.59 | 201.66 | 0.78 | ||
|
| |||||||
| 1st Quartile, <5.05 | 312 | 140.74 | 0.91 | 0.53 | 203.87 | 1.19 | 0.44 |
| 2nd Quartile, 5.05–5.75 | 303 | 138.97 | 0.92 | 201.14 | 1.21 | ||
| 3rd Quartile, 5.76–6.48 | 306 | 139.26 | 0.93 | 202.07 | 1.22 | ||
| 4th Quartile, >6.48 | 303 | 139.87 | 0.94 | 202.37 | 1.23 | ||
|
| |||||||
| 1st Quartile, <1.13 | 293 | 139.51 | 0.96 | 0.58 | 204.69 | 1.26 | 0.09 |
| 2nd Quartile, 1.13–1.35 | 340 | 140.73 | 0.87 | 202.89 | 1.14 | ||
| 3rd Quartile, 1.36–1.61 | 292 | 139.39 | 0.96 | 200.95 | 1.26 | ||
| 4th Quartile, >1.61 | 299 | 139.07 | 0.98 | 200.54 | 1.28 | ||
|
| |||||||
| 1st Quartile, <0.80 | 322 | 140.76 | 0.90 | 0.28 | 202.49 | 1.19 | 0.26 |
| 2nd Quartile, 0.80–1.07 | 302 | 138.85 | 0.94 | 200.44 | 1.23 | ||
| 3rd Quartile, 1.08–1.52 | 299 | 140.40 | 0.92 | 202.75 | 1.21 | ||
| 4th Quartile, >1.52 | 301 | 138.81 | 0.93 | 203.77 | 1.22 | ||
|
| |||||||
| 1st Quartile, <62.7 | 305 | 138.14 | 0.95 | 0.007 | 200.85 | 1.23 | 0.005 |
| 2nd Quartile, 62.6–70.3 | 305 | 139.10 | 0.93 | 201.24 | 1.25 | ||
| 3rd Quartile, 70.4–78.6 | 307 | 140.48 | 0.94 | 202.75 | 1.22 | ||
| 4th Quartile, >78.6 | 307 | 141.21 | 0.93 | 204.58 | 1.22 | ||
Retinal vascular calibers in micron, †ANCOVA: analysis of covariance.
eGFR, estimated Glomerular Filtration Rate from MDRD (Modification of the Diet in Renal Disease) formula.
Associations of retinal vascular calibers with biochemical parameters.
| Retinal Arteriolar Caliber (microns) | Retinal Venular Caliber (microns) | |||||||
| Risk Factors | Unit Change | β ± SE | Sβ | Pr > |t| | β ± SE | Sβ | Pr > |t| | |
|
|
| Per 0.1 log | 0.14±0.09 | 0.04 | 0.14 | 0.58±0.12 | 0.13 | 0.0001 |
|
| Per 0.2 g/l | 0.11±0.4 | 0.008 | 0.78 | 1.28±0.5 | 0.06 | 0.02 | |
|
| Per 0.3 UM | −0.86±0.5 | −0.05 | 0.07 | 0.84±0.6 | 0.04 | 0.16 | |
|
| Per 200 UM | 1.33±0.4 | 0.09 | 0.0008 | 0.74±0.5 | 0.04 | 0.15 | |
|
|
| Per 0.1 log | 0.18±0.1 | 0.05 | 0.07 | 0.51±0.1 | 0.12 | 0.0001 |
|
| Per 0.2 g/l | 0.10±0.4 | 0.007 | 0.85 | 1.26±0.4 | 0.06 | 0.01 | |
|
| Per 0.3 UM | −0.74±0.4 | −0.04 | 0.09 | 0.70±0.7 | 0.05 | 0.22 | |
|
| Per 200 UM | 1.20±0.4 | 0.08 | 0.003 | 0.61±0.5 | 0.03 | 0.23 | |
|
|
| Per 0.1 log | 0.17±0.2 | 0.05 | 0.08 | 0.54±0.1 | 0.12 | 0.0001 |
|
| Per 0.2 g/l | 0.10±0.4 | 0.007 | 0.85 | 1.34±0.6 | 0.07 | 0.01 | |
|
| Per 0.3 UM | −0.63±0.4 | −0.03 | 0.12 | 0.59±0.8 | 0.04 | 0.35 | |
|
| Per 200 UM | 1.08±0.4 | 0.08 | 0.01 | 0.79±0.6 | 0.04 | 0.15 | |
Abbreviations: logeCRP, logarithmic of high-sensitivity C-Reactive Protein; SOD- 2, superoxide dismutase 2; GPx-3, glutathione peroxidase activity; β, regression coefficient estimated by multivariate linear regression, SE β; standard error β; Sβ, standardized regression coefficient (computed by multiplying the original estimates by the sample standard deviation of the regressor and divising by the sample standard deviation of the retinal vascular caliber).
Model 1: gender-adjusted association of retinal vascular caliber.
Model 2: Multivariate association of retinal vascular caliber adjusted for age (years), gender (male vs. female), hypertension status (hypertensive vs. normotensive), current smoking status (current vs. never/past), body mass index (kg/m2), high-density-lipoprotein cholesterol (mmol/l), estimated glomerular filtration rate (Modification of the Diet in Renal Disease, ml/min/1.73 m2), and logarithmic of high-sensitivity C-Reactive Protein for SOD-2 and GPX-3, and GPX-3 for logeCRP and Orosomucoid.
Model 3 : model 2 after exclusion of 138 diabetic subjects.
Figure 1Mean + standard error retinal arteriolar caliber according to quartiles of plasma glutathione peroxidase activity, adjusted for age (years), gender (male vs. female), hypertension status (hypertensive vs. normotensive), current smoking status (current vs. never/past), body mass index (kg/m2), high-density-lipoprotein cholesterol (mmol/l), estimated glomerular filtration rate (Modification of the Diet in Renal Disease, ml/min/1.73m2), logarithmic of high-sensitivity C-Reactive Protein. P-value for the analysis of covariance (ANCOVA) = 0.003.
Age and gender-adjusted associations of glutathione peroxidase activity with cardiovascular risk factors (web only).
| Risk Factors | Unit Change | Age and gender-adjusted OR (95% CI) | P |
|
| Per 5 y | 0.85 (0.77–0.94) | 0.0008 |
|
| Male vs. female | 1.01 (0.80–1.27) | 0.91 |
|
| HT vs. NT | 0.71 (0.56–0.90) | 0.005 |
|
| Absent vs. present | 1.10 (0.69–1.74) | 0.67 |
|
| Current vs.never/past | 0.93 (0.63–1.38) | 0.75 |
|
| Per 5 kg/m2 | 0.77 (0.67–0.89) | 0.0004 |
|
| Per 0.8 mmol/l | 0.98 (0.90–1.06) | 0.64 |
|
| Per 0.4 mmol/l | 1.25 (1.10–1.42) | 0.0007 |
|
| Per 0.3 mmol/l | 0.93 (0.88–0.98) | 0.01 |
|
| Per 0.1 log | 0.99 (0.97–1.02) | 0.87 |
|
| Per 15 ml/min/1.73m2 | 1.16 (1.05–1.29) | 0.003 |
OR (95% CI): odds-ratio (95% confidence interval) of having a glutathione peroxidase activity (GPx-3) activity above the median, estimated using age and gender-adjusted logistic regression. eGFR, estimated Glomerular Filtration Rate from MDRD (Modification of the Diet in Renal Disease) formula; log, logarithmic of high-sensitivity C-Reactive Protein. HT: hypertensive subjects; NT: normotensive subjects.