Antoine Avignon

Prof. Dr. Antoine Avignon

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 1997 in Diabetes Care
Verified
Journal Article
Closed access
AAAntoine Avignon
Antoine Avignon
ARAnca Radauceanu
Anca Radauceanu
LML Monnier
L Monnier
OBJECTIVE: To evaluate the relative value of plasma glucose (PG) at different time points in assessing glucose control of type 2 diabetic patients. RESEARCH DESIGN AND METHODS: Glycemic profiles, i.e., PG at prebreakfast (8:00 A.M.), prelunch (11:00 A.M.), postlunch (2:00 P.M.), and extended postlunch (5:00 P.M.) times over the same day, were obtained in 66 type 2 diabetic patients on an ambulatory basis. The different time points of PG were compared with a measurement of HbA1c made in a reference laboratory. RESULTS: Extended postlunch PG was lower than prebreakfast PG (104 ± 21 vs. 133 ± 35 mg/dl, P < 0.02) in patients demonstrating good diabetic control (HbA1c ≤ 7.0%), was not different from prebreakfast PG (149 ± 47 vs. 166 ± 26 mg/dl, NS) in patients demonstrating fair diabetic control (7.0% < HbA1c ≤ 8.5%), and was higher than prebreakfast PG (221 ± 62 vs. 199 ± 49 mg/dl, P ≤ 0.01) in those demonstrating poor diabetic control (HbA1c ≤ 8.5%). Prebreakfast, prelunch, postlunch, and extended postlunch PG values were all significantly correlated with HbA1c. Multiple linear regression analysis demonstrated that postlunch PG and extended postlunch PG correlated significantly and independently with HbA1c, but that prebreakfast PG and prelunch PG did not. Moreover, postlunch PG and extended postlunch PG demonstrated better sensitivity, specificity, and positive predictive value in predicting poor glycemic control than did prebreakfast PG or prelunch PG. CONCLUSIONS: In type 2 diabetes, postlunch PG and extended postlunch PG are better predictors of glycemic control than fasting plasma glucose (FPG). We therefore suggest that they be more widely used to supplement, or substitute for, FPG in evaluating the metabolic control of type 2 diabetic patients.

1 July 2008 in Diabetes Care
Verified
Journal Article
Open access
EGEdouard Ghanassia
Edouard Ghanassia
LVLaetitia Villon
Laetitia Villon
JDJean-François Thuan Dit Dieudonné
Jean-François Thuan Dit Dieudonné
CBCatherine Boegner
Catherine Boegner
AAAntoine Avignon
Antoine Avignon
ASAriane Sultan
Ariane Sultan
OBJECTIVE—The long-term outcome and functional status of subjects hospitalized for diabetic foot ulcers have been poorly studied and thus are the topics of this study. RESEARCH DESIGN AND METHODS—Ninety-four consecutive diabetic subjects hospitalized for diabetic foot ulcers between January 1998 and December 2000 were prospectively followed for mean ± SD 79.5 ± 13.3 months. We calculated rates of primary healing, new ulcers, amputations, mortality, and disability and evaluated the global therapeutic success (GTS) of foot care management as defined by the association of primary healing without recurrence or disability at the end of follow-up. RESULTS—Follow-up was successful in 89 of 94 subjects (63 men and 31 women; age 63.7 ± 10.8 years). Of these, 69 (77.5%) experienced primary healing without major amputation, 39 (43.8%) underwent amputation (24 minor and 15 major), and 46 died (51.7%), including 23 from cardiovascular events. Forty-two of 69 patients who experienced primary healing (60.9%) had ulcer recurrence. At the end of the follow-up period, 25 patients (28.1%) were dependent and 40 subjects (44.9%) had achieved GTS. Multivariate analysis showed the role of age as an independent predictor of GTS (P < 0.05) and of impaired renal function/albuminuria as independent predictors of healing failure, first amputation, and mortality (P < 0.01). CONCLUSIONS—Despite a satisfactory initial healing rate, the global long-term outcome of patients hospitalized for diabetic foot ulcers was poor. Nephropathy appears to be an important predictor of long-term outcome. Further studies are needed to establish recognized criteria for therapeutic success going beyond just the evaluation of healing rate in the management of diabetic foot ulcers.

15 May 2013 in Diabetes Care
Verified
Journal Article
Open access
PDF file
MHMarie Hokayem
Marie Hokayem
EBEmilie Blond
Emilie Blond
HVHubert Vidal
Hubert Vidal
Karen LambertKaren Lambert
Karen Lambert
EMEmmanuelle Meugnier
Emmanuelle Meugnier
AAAntoine Avignon
Antoine Avignon
OBJECTIVE To assess the clinical efficacy of nutritional amounts of grape polyphenols (PPs) in counteracting the metabolic alterations of high-fructose diet, including oxidative stress and insulin resistance (IR), in healthy volunteers with high metabolic risk. RESEARCH DESIGN AND METHODS Thirty-eight healthy overweight/obese first-degree relatives of type 2 diabetic patients (18 men and 20 women) were randomized in a double-blind controlled trial between a grape PP (2 g/day) and a placebo (PCB) group. Subjects were investigated at baseline and after 8 and 9 weeks of supplementation, the last 6 days of which they all received 3 g/kg fat-free mass/day of fructose. The primary end point was the protective effect of grape PPs on fructose-induced IR. RESULTS In the PCB group, fructose induced 1) a 20% decrease in hepatic insulin sensitivity index (P < 0.05) and an 11% decrease in glucose infusion rate (P < 0.05) as evaluated during a two-step hyperinsulinemic-euglycemic clamp, 2) an increase in systemic (urinary F2-isoprostanes) and muscle (thiobarbituric acid–reactive substances and protein carbonylation) oxidative stress (P < 0.05), and 3) a downregulation of mitochondrial genes and decreased mitochondrial respiration (P < 0.05). All the deleterious effects of fructose were fully blunted by grape PP supplementation. Antioxidative defenses, inflammatory markers, and main adipokines were affected neither by fructose nor by grape PPs. CONCLUSIONS A natural mixture of grape PPs at nutritional doses efficiently prevents fructose-induced oxidative stress and IR. The current interest in grape PP ingredients and products by the global food and nutrition industries could well make them a stepping-stone of preventive nutrition.

1 September 2005 in Diabetes Care
Verified
Journal Article
Open access
PDF file
AAAntoine Avignon
Antoine Avignon
ASAriane Sultan
Ariane Sultan
CPChristophe Piot
Christophe Piot
SEStéphane Elaerts
Stéphane Elaerts
JCJean Paul Cristol
Jean Paul Cristol
ADanne marie dupuy
anne marie dupuy
OBJECTIVE—Osteoprotegerin (OPG) is an inhibitor of osteoclastogenesis, which has been recently involved in atherosclerosis. The relationship between coronary atherosclerosis and OPG has never been studied in asymptomatic type 2 diabetic patients. RESEARCH DESIGN AND METHODS—This is a nested case-control study; 162 asymptomatic type 2 diabetic patients were evaluated for silent myocardial ischemia using stress myocardial perfusion imaging; of 50 patients with positive results, 37 underwent coronary angiography, 20 of whom showed significant coronary artery disease (CAD group). Of 112 patients without silent myocardial ischemia, 20 subjects (NO-CAD group) were selected and matched by age and sex to patients with CAD. OPG, C-reactive protein, adiponectin, lipoprotein(a), albuminuria, and classical risk factors were measured. RESULTS—The percentages of subjects with OPG levels above median and with nephropathy were higher in the CAD group than in the NO-CAD group (70 vs. 25%, P = 0.004 and 50 vs. 5%, P = 0.001, respectively). LDL cholesterol levels were higher and HDL cholesterol levels lower in the CAD compared with the NO-CAD group (P = 0.033 and P = 0.005, respectively). No other variables were associated with CAD. Logistic regression analysis showed that OPG values above median (odds ratio 8.31 [95% CI 1.18–58.68], P = 0.034) and nephropathy (21.98 [1.24–388.36], P = 0.035) were significant independent predictors of asymptomatic CAD in type 2 diabetic patients. CONCLUSIONS—Our investigation reports the first evidence of an independent association of OPG with asymptomatic CAD in type 2 diabetic patients. The results of this nested case- control study with 20 cases need to be confirmed in a larger population.

1 July 2012 in Nutrition
Verified
Journal Article
Closed access
AAAntoine Avignon
Antoine Avignon
MHMarie Hokayem
Marie Hokayem
Bisbal CatherineBisbal Catherine
Bisbal Catherine
Karen LambertKaren Lambert
Karen Lambert

1 November 2007 in Diabetes Care
Verified
Journal Article
Closed access
AAAntoine Avignon
Antoine Avignon
ASAriane Sultan
Ariane Sultan
CPChristophe Piot
Christophe Piot
DMDenis Mariano-Goulart
Denis Mariano-Goulart
JDJean-François Thuan Dit Dieudonné
Jean-François Thuan Dit Dieudonné
ADanne marie dupuy
anne marie dupuy
OBJECTIVE—We sought to evaluate osteoprotegerin, an inhibitor of osteoclastogenesis involved in atherosclerosis, and other novel risk factors as predictive markers of silent myocardial ischemia (SMI). RESEARCH DESIGN AND METHODS—A total of 465 consecutive diabetic patients with more than one additional risk factor were evaluated for SMI using stress myocardial perfusion imaging (MPI). We studied the association of SMI (positive stress electrocardiogram and/or abnormal MPI) with osteoprotegerin, other novel risk factors (lipoprotein[a], homocysteine, adiponectin, C-reactive protein, and fibrinogen), and conventional risk factors (total, LDL, and HDL cholesterol and triglycerides). RESULTS—A total of 92 patients were diagnosed with SMI. Of the six novel markers, osteoprotegerin was the only one associated with SMI; the relative risk (RR) of SMI in patients with osteoprotegerin values above the 75th percentile was 3.19 (95% CI 1.99–5.18; P < 0.001) in comparison with those with osteoprotegerin below the 75th percentile. In univariate analyses, the other plasma markers significantly associated with SMI were higher triglycerides (P = 0.04) and lower HDL cholesterol (P = 0.02). The association of osteoprotegerin with SMI remained significant after correcting for other variables associated with SMI at P < 0.15 in univariate analysis (RR 3.95 [95% CI 2.21–7.06]; P < 0.0001). The association of osteoprotegerin with SMI was observed in male (P < 0.0001) and female (P = 0.03) patients, in type 1 (P = 0.002) and type 2 (P = 0.0004) diabetic patients, in patients with (P = 0.0004) or without (P = 0.03) nephropathy, and in patients without (P < 0.0001) but not with (P = 0.2) peripheral arterial disease. CONCLUSIONS—Osteoprotegerin measurement, together with other conventional factors, can help to better define the diabetic population with an increased likelihood for SMI.