162 results on '"Bobbioni-Harsch E"'
Search Results
2. A 2-year multifactor approach of weight loss maintenance
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Makoundou, V., Bobbioni-Harsch, E., Gachoud, J.-P., Habicht, F., Pataky, Z., and Golay, A.
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- 2010
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- View/download PDF
3. Persistent Correlation of Ghrelin Plasma Levels with Body Mass Index Both in Stable Weight Conditions and during Gastric-bypass-induced Weight Loss
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Ybarra, J., Bobbioni-Harsch, E., Chassot, G., Huber, O., Morel, Ph., Assimacopoulos-Jeannet, F., and Golay, A.
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- 2009
- Full Text
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4. Upregulation of peroxisome proliferator-activated receptor gamma coactivator gene (PGC1A) during weight loss is related to insulin sensitivity but not to energy expenditure
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Gastaldi, G., Russell, A., Golay, A., Giacobino, J.-P., Habicht, F., Barthassat, V., Muzzin, P., and Bobbioni-Harsch, E.
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- 2007
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5. Traitement de l’obésité sévère par by-pass gastrique : le profil psychologique n’est pas prédictif de la perte de poids au cours de la première année
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Bauld, E., Iliescu, I., Bobbioni-Harsch, E., Reiner Meylan, M., Badel, S., Huber, O., and Golay, A.
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- 2007
- Full Text
- View/download PDF
6. The effect of insulin on cardiac autonomic balance predicts weight reduction after gastric bypass
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Bobbioni-Harsch, E., Sztajzel, J., Barthassat, V., Lehmann, T. N. O., Sievert, K., Chassot, G., Huber, O., Morel, P., Golay, A., and Assimacopoulos-Jeannet, F.
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- 2005
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7. Factors influencing energy intake and body weight loss after gastric bypass
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Bobbioni-Harsch, E, Huber, O, Morel, Ph, Chassot, G, Lehmann, T, Volery, M, Chliamovitch, E, Muggler, C, and Golay, A
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- 2002
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8. OLEOYLETHANOLAMIDE (OEA) AND PALMITOYLETHANOLAMIDE (PEA) IN SUBCUTANEOUS ADIPOSE TISSUE ARE REDUCED IN OBESE HUMANS AND STRONGLY RELATED TO ADIPONECTIN: 598 accepted poster
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Pataky, Z., Quercioli, A., Montecucco, F., Thomas, A., Staub, C., Golay, A., Schindler, T. H., and BOBBIONI-HARSCH, E.
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- 2012
9. FROM METABOLICALLY NORMAL OBESITY TO CARDIOMETABOLIC DISEASES : A MATTER OF NATURAL HISTORY ?: 35 invited speake
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Bobbioni-Harsch, E.
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- 2012
10. Response to ‘Metabolically normal obesity’ a misnomer?
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Pataky, Z, Bobbioni-Harsch, E, and Golay, A
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- 2012
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11. Metabolic normality in overweight and obese subjects. Which parameters? Which risks?
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Pataky, Z, Makoundou, V, Nilsson, P, Gabriel, R S, Lalic, K, Muscelli, E, Casolaro, A, Golay, A, and Bobbioni-Harsch, E
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- 2011
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12. Open questions about metabolically normal obesity
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Pataky, Z, Bobbioni-Harsch, E, and Golay, A
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- 2010
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13. Fat distribution influences the cardio-metabolic profile in a clinically healthy European population
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Bobbioni-Harsch, E., Pataky, Z., Makoundou, V., Kozakova, M., Dekker, J., and Golay, A.
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- 2009
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14. Impact of body fat mass extent on cardiac autonomic alterations in women
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Sztajzel, J., Golay, A., Makoundou, V., Lehmann, T. N. O., Barthassat, V., Sievert, K., Pataky, Z., Assimacopoulos-Jeannet, F., and Bobbioni-Harsch, E.
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- 2009
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15. Energy expenditure and substrates oxidative patterns, after glucose, fat or mixed load in normal weight subjects
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Bobbioni-Harsch, E, Habicht, F, Lehmann, T, James, RW, Rohner-Jeanrenaud, F, and Golay, A
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- 1997
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16. Physiological concentrations of oxytocin powerfully stimulate insulin secretionin vitro
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Bobbioni-Harsch, E., Frütiger, S., Hughes, G., Panico, M., Etienne, A., Zappacosta, F., Morris, H. R., and Jeanrenaud, B.
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- 1995
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17. Relationship between sympathetic reactivity and body weight loss in morbidly obese subjects
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Bobbioni-Harsch, E, Bongard, O, Habicht, F, Weimer, D, Bounameaux, H, Huber, O, Chassot, G, Morel, P, Assimacopoulos-Jeannet, F, and Golay, A
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- 2004
18. Relationship between peripheral vascular disease and high plantar pressures in diabetic neuro-ischaemic patients
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Pataky, Z, Golay, A, Bounameaux, H, Bobbioni-Harsch, E, and Assal, JPh
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- 2003
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19. Energy Economy Hampers Body Weight Loss after Gastric Bypass
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Bobbioni-Harsch, E, Morel, P, Huber, O, Assimacopoulos-Jeannet, F, Chassot, G, Lehmann, T, Volery, M, and Golay, A
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- 2000
20. Persistent Correlation of Ghrelin Plasma Levels with Body Mass Index Both in Stable Weight Conditions and during Gastric-bypass-induced Weight Loss
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Ybarra, J., Bobbioni-Harsch, E., Chassot, G., Huber, O., Morel, Ph, Assimacopoulos-Jeannet, F., Golay, A., Ybarra, J., Bobbioni-Harsch, E., Chassot, G., Huber, O., Morel, Ph, Assimacopoulos-Jeannet, F., and Golay, A.
- Abstract
Background: Studies done on serial changes in plasma ghrelin levels after gastric bypass (GBP) have yielded contrasting results since decreased, unchanged, or increased levels have been reported in the literature. This study investigates whether or not GBP has an inhibitory effect on fasting ghrelin levels independently of weight loss. Methods: Fasting ghrelin levels were measured in 115 stable body weight females, classified as normal body weight (NW; body mass index (BMI) < 25kg/m2), overweight (OW; BMI 25-30kg/m2), and obese subjects, divided in three subgroups with increasing BMI (BMI 30-40kg/m2; BMI 40-50kg/m2; BMI >50kg/m2). Results: Each obese subgroup showed significantly lower ghrelin levels as compared to both NW (p < 0.0001) and OW subjects (p < 0.05 or 0.005); however, no significant differences were observed within the three obese subgroups. Forty-nine obese patients underwent a GBP. Plasma ghrelin, measured at 3, 6, and 12months after GBP, significantly increased from the sixth month on (p < 0.0001). When patients were classified, at each postoperative time point, according to their actual BMI, ghrelin was significantly (p = 0.0002) related to postoperative BMI and not significantly different from ghrelin measured in stable body weight conditions. Conclusions: Fasting ghrelin displays an inversely significant correlation with BMI in both stable body weight conditions and after GBP. No evidence was found that GBP had an effect on fasting ghrelin levels, independent of weight loss
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- 2018
21. Upregulation of peroxisome proliferator-activated receptor gamma coactivator gene ( PGC1A ) during weight loss is related to insulin sensitivity but not to energy expenditure
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Gastaldi, G., Russell, A., Golay, A., Giacobino, J.-P, Habicht, F., Barthassat, V., Muzzin, P., Bobbioni-Harsch, E., Gastaldi, G., Russell, A., Golay, A., Giacobino, J.-P, Habicht, F., Barthassat, V., Muzzin, P., and Bobbioni-Harsch, E.
- Abstract
Aims/hypothesis: We investigated whether skeletal muscle peroxisome proliferator-activated receptor gamma coactivator-1 (PGC1A; also known as PPARGC1A) and its target mitofusin-2 (MFN2), as well as carnitine palmitoyltransferase-1 (CPT1; also known as carnitine palmitoyltransferase 1A [liver] [CPT1A]) and uncoupling protein (UCP)3, are involved in the improvement of insulin resistance and/or in the modification of energy expenditure during surgically induced massive weight loss. Materials and methods: Seventeen morbidly obese women (mean BMI: 45.9 ± 4kg/m2) were investigated before, and 3 and 12months after, Roux-en-Y gastric bypass (RYGB). We evaluated insulin sensitivity by the euglycaemic-hyperinsulinaemic clamp, energy expenditure and substrate oxidation by indirect calorimetry, and muscle mRNA expression by PCR. Results: Post-operatively, PGC1A was enhanced at 3 (p = 0.02) and 12months (p = 0.03) as was MFN2 (p = 0.008 and p = 0.03 at 3 and 12months respectively), whereas UCP3 was reduced (p = 0.03) at 12months. CPT1 did not change. The expression of PGC1A and MFN2 were strongly (p < 0.0001) related. Insulin sensitivity, which increased after surgery (p = 0.002 at 3, p = 0.003 at 12months), was significantly related to PGC1A and MFN2, but only MFN2 showed an independent influence in a multiple regression analysis. Energy expenditure was reduced at 3months post-operatively (p = 0.001 vs before RYGB), remaining unchanged thereafter until 12months. CPT1 and UCP3 were not significantly related to the modifications of energy expenditure or of lipid oxidation rate. Conclusions/interpretation: Weight loss upregulates PGC1A, which in turn stimulates MFN2 expression. MFN2 expression significantly and independently contributes to the improvement of insulin sensitivity. UCP3 and CPT1 do not seem to influence energy expenditure after RYGB
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- 2018
22. Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study
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Pataky, Z. Golay, A. Laville, M. Disse, E. Mitrakou, A. Guidone, C. Gabriel, R. Bobbioni-Harsch, E.
- Abstract
Aim: This was a cross-sectional and longitudinal study of factors contributing to the number of cardiometabolic risk factors, common carotid artery intima-media thickness (CCA-IMT) and R-R interval in clinically healthy subjects without diabetes. Methods: Anthropometric and cardiometabolic parameters were measured in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Study cohort at baseline (n=1211) and 3. years later (n=974). At baseline, insulin sensitivity was assessed by the euglycaemic clamp technique. The CCA-IMT was echographically measured and the R-R interval was electrocardiographically evaluated at baseline and at the 3-year follow-up. Results: Higher baseline BMI, fasting insulin and tobacco use as well as greater changes in BMI and fasting insulin but lower adiponectin levels, were associated with a greater number of cardiometabolic risk factors at the 3-year follow-up independently of insulin sensitivity (all P< 0.02). The CCA-IMT increased with the number of cardiometabolic risk factors (P=0.008), but was not related to fasting insulin, whereas higher fasting insulinaemia and its 3-year changes were significantly associated with a smaller R-R interval (P=0.005 and P=0.002, respectively). These relationships were independent of baseline age, gender, BMI, adiponectin, insulin sensitivity, tobacco use and physical activity. Conclusion: In clinically healthy subjects, fasting insulinaemia, adiponectin and lifestyle parameters are related to the presence of one or two cardiometabolic risk factors before criteria for the metabolic syndrome are met. These results underline the importance of fasting insulinaemia as an independent cardiometabolic risk factor at an early stage of disease development in a healthy general population. But: Méthodes: Résultats: Conclusion: © 2013 Elsevier Masson SAS.
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- 2013
23. Fatty liver index, gamma-glutamyltransferase, and early carotid plaques
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Kozakova, M, Palombo, C, Eng, Mp, Dekker, J, Flyvbjerg, A, Mitrakou, A, Gastaldelli, A, Ferrannini, E, Heine, Rj, Dekker, Jm, de Rooij, S, Nijpels, G, Boorsma, W, Tournis, S, Kyriakopoulou, K, Thomakos, P, Lalic, N, Lalic, K, Jotic, A, Lukic, L, Civcic, M, Nolan, J, Yeow, Tp, Murphy, M, Delong, C, Neary, G, Colgan, Mp, Hatunic, M, Konrad, T, Böhles, H, Fuellert, S, Baer, F, Zuchhold, H, Golay, A, Bobbioni Harsch, E, Barthassat, V, Makoundou, V, Lehmann, T, Merminod, T, Petrie, J, Perry, C, Neary, F, Macdougall, C, Shields, K, Malcolm, L, Laakso, M, Salmenniemi, U, Aura, A, Raisanen, R, Ruotsalainen, U, Sistonen, T, Laitinen, M, Saloranta, H, Coppack, Sw, Mcintosh, N, Ross, J, Pettersson, L, Khadobaksh, P, Laville, M, Bonnet, F, de la Perriere AB, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Me, Carraro, R, Friera, A, Novella, B, Nilsson, P, Persson, M, Östling, G, Melander, O, Burri, P, Piatti, Pm, Monti, Ld, Setola, E, Galluccio, E, Minicucci, F, Colleluori, A, Walker, M, Ibrahim, Im, Jayapaul, M, Carman, D, Ryan, C, Short, K, Mcgrady, Y, Richardson, D, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Gb, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Natali, A, Muscelli, E, Pinnola, S, Mingrone, G, Guidone, C, Favuzzi, A, Di Rocco, P, Anderwald, C, Bischof, M, Promintzer, M, Krebs, M, Mandl, M, Hofer, A, Luger, A, Waldhäusl, W, Roden, M, Balkau, B, Mari, A, Gaffney, P, Boran, G, Beck Nielsen, H, Kok, A, Patel, S, Ciociaro, D, Guillanneuf, Mt, Mota, L, Pacini, G, Cavaggion, C, Hills, Sa, Landucci, L, Mota, L., Epidemiology and Data Science, and EMGO - Lifestyle, overweight and diabetes
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Carotid Artery Diseases ,Male ,SMOOTH-MUSCLE-CELLS ,Comorbidity ,INTIMA-MEDIA THICKNESS ,Severity of Illness Index ,ADIPONECTIN ,AMERICAN-HEART-ASSOCIATION ,Prevalence ,Gamma-glutamyltransferase ,Ultrasonography ,RISK ,biology ,INSULIN SENSITIVITY ,Fatty liver ,gamma-Glutamyltransferase ,Middle Aged ,Prognosis ,Plaque, Atherosclerotic ,Survival Rate ,CARDIOVASCULAR-DISEASE ,Hypertension ,Female ,Waist Circumference ,Adult ,medicine.medical_specialty ,HEPATIC STEATOSIS ,PLASMA-PROTEIN ,ATHEROSCLEROSIS ,Risk Assessment ,Insulin resistance ,Age Distribution ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Sex Distribution ,Proportional Hazards Models ,Hepatology ,Adiponectin ,business.industry ,medicine.disease ,Fatty Liver ,Endocrinology ,Cross-Sectional Studies ,Logistic Models ,Intima-media thickness ,Multivariate Analysis ,biology.protein ,Metabolic syndrome ,Insulin Resistance ,business ,Dyslipidemia - Abstract
An association between fatty liver and carotid atherosclerosis has been established; however, it is not clear whether this relationship is a consequence of shared conventional risk factors or whether it is determined by specific circulating factors originating from liver or adipose tissue. To identify the factors possibly linking fatty liver and atherosclerosis, we assessed, in 1,012 subjects free of confounding diseases (e.g., hypertension, diabetes, cardiovascular diseases, and dyslipidemia) and metabolic syndrome, the relationship between the presence of early plaques at carotid bifurcation and fatty liver index (FLI; a validated surrogate marker of fatty liver), as well as the associations between carotid plaque presence and established atherosclerotic risk factors, family history of cardiovascular disease (FH-CVD) or diabetes, insulin sensitivity, serum liver enzymes, adipokines, fatty free acids, and high-sensitivity C-reactive protein (hsCRP). A total of 55 of 1,012 subjects (5.4%) had small plaque at carotid bifurcation. Subjects with plaque were older and had higher prevalence of FLI ≥60 and FH-CVD, higher blood pressure, plasma low-density lipoprotein cholesterol, glucose, gamma-glutamyltransferase (GGT), and hsCRP, as compared to subjects without plaques (P < 0.05). In a logistic regression model, adjusted for sex, liver transaminase, and alcohol consumption, the independent predictors of plaque presence were age (P < 0.0005), FLI ≥60 (P < 0.0005), and current smoking (P < 0.05). When FLI in the model was replaced by variables used in its equation (e.g., body mass index, waist circumference, plasma triglycerides, and GGT), the independent determinants of plaque presence were age (P < 0.001), GGT (P = 0.001), and current smoking (P < 0.05). Conclusions: Our cross-sectional study suggests that subjects with FLI ≥60 are at higher risk of atherosclerotic lesions, independently of established risk factors, and that serum GGT may represent a link between fatty liver and the development of early atherosclerosis. (HEPATOLOGY 2012)
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- 2012
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24. [Can an obese patient be metabolically normal?]
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Zoltan Pataky, Bobbioni-Harsch E, Makoundou V, and Golay A
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Health Status ,Humans ,Obesity - Abstract
Obesity is well recognized as a cardiovascular risk factor and being associated with cardio-metabolic diseases. However, certain authors describe the existence of metabolically benign obesity or not-complicated obesity. By examining various studies, one of the encountered difficulties is the criteria of normality among obese patients and the evaluated metabolic parameters. Even if traditional cardio-metabolic parameters such as the lipid profile, glycemia or blood pressure can be in normal ranges, the subjects in overweight or obesity are different from the subjects of normal body weight in terms of these parameters which are at the limit of normality. The purpose of this article is to summarize the current concepts of metabolic normality in obese subjects. We conclude that the body weight is the most important factor in the development of the cardio-metabolic consequences of obesity.
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- 2010
25. Low-Grade Chronic Inflammation in the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) Population Associations with insulin resistance and cardiometabolic risk profile
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De Rooij, Sr, Nijpels, G, Nilsson, Pm, Nolan, Jj, Gabriel, R, Bobbioni Harsch, E, Mingrone, Geltrude, Dekker, Jm, General practice, Epidemiology and Data Science, and EMGO - Lifestyle, overweight and diabetes
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Adult ,Inflammation ,Male ,Cardiovascular and Metabolic Risk ,Alcohol Drinking ,Heart Diseases ,Settore MED/09 - MEDICINA INTERNA ,Smoking ,Middle Aged ,Cohort Studies ,Europe ,Leukocyte Count ,Metabolic Diseases ,Cardiovascular Diseases ,Risk Factors ,Humans ,Regression Analysis ,Female ,Insulin Resistance ,Life Style ,Original Research - Abstract
OBJECTIVE Low-grade chronic inflammation has been hypothesized to underlie the constellation of cardiometabolic risk factors, possibly by inducing insulin resistance. In the present study, we investigated associations between inflammation markers, insulin sensitivity (expressed as the ratio of the M value to the mean plasma insulin concentrations measured during the final 40 min of the clamp [M/I]), and a range of cardiometabolic risk factors in a large, healthy population. RESEARCH DESIGN AND METHODS The Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) cohort includes 1,326 nondiabetic European men and women, aged between 30 and 60 years. We measured cardiometabolic risk factors and performed a hyperinsulinemic-euglycemic clamp. We determined total white blood cell count (WBC) and erythrocyte sedimentation rate (ESR) as markers of chronic inflammation. RESULTS WBC and ESR were both strongly associated with M/I. WBC and ESR were further associated with a range of cardiometabolic risk factors. Associations between WBC and HDL cholesterol, triglycerides, heart rate, fasting C-peptide, and insulin and 2-h insulin in men and women and between WBC and 2-h glucose in women remained significant after adjustment for both M/I and waist circumference. Associations between ESR and HDL cholesterol, heart rate, fasting, and 2-h insulin in men and women and between ESR and fat mass in women remained significant after adjustment for M/I and waist circumference. CONCLUSIONS This study showed that low-grade chronic inflammation is associated with the cardiometabolic risk profile of a healthy population. Insulin resistance, although strongly associated with inflammation, does not seem to play a large intermediary role.
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- 2009
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26. Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3years in a healthy population: The RISC Study
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Pataky, Z., primary, Golay, A., additional, Laville, M., additional, Disse, E., additional, Mitrakou, A., additional, Guidone, C., additional, Gabriel, R., additional, and Bobbioni-Harsch, E., additional
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- 2013
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27. Response to ‘Metabolically normal obesity’ a misnomer?
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Pataky, Z, primary, Bobbioni-Harsch, E, additional, and Golay, A, additional
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- 2011
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28. P256 - Les patients obèses après perte de poids deviennent-ils normaux ?
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Makoundou, V., primary, Pataky, Z., additional, Bobbioni-Harsch, E., additional, Barthassat, V., additional, and Golay, A., additional
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- 2011
- Full Text
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29. P255 - Approche multifactorielle associée d’un traitement de Xenical® à la demande dans un programme de maintien de perte de poids pendant 4 ans
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Makoundou, V., primary, Pataky, Z., additional, Bobbioni-Harsch, E., additional, Gachoud, J.-P., additional, Habicht, F., additional, and Golay, A., additional
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- 2011
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30. P60 - Obésité et adhésion thérapeutique : analyse du suivi des patients participant à un programme interdisciplinaire de deux ans
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Barthassat, V., primary, Carrard, I., additional, Schwarz, V., additional, Bobbioni-Harsch, E., additional, Gay, V., additional, Sittarame, F., additional, and Golay, A., additional
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- 2011
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31. Obesity: A Complex Growing Challenge
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Pataky, Z., primary, Bobbioni-Harsch, E., additional, and Golay, A., additional
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- 2009
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32. Persistent Correlation of Ghrelin Plasma Levels with Body Mass Index Both in Stable Weight Conditions and during Gastric-bypass-induced Weight Loss
- Author
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Ybarra, J., primary, Bobbioni-Harsch, E., additional, Chassot, G., additional, Huber, O., additional, Morel, Ph., additional, Assimacopoulos-Jeannet, F., additional, and Golay, A., additional
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- 2008
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33. Leptin plasma levels as a marker of sparing-energy mechanisms in obese women
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Bobbioni-Harsch, E, primary, Assimacopoulos-Jeannet, F, additional, Lehmann, T, additional, Münger, R, additional, Allaz, A-F, additional, and Golay, A, additional
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- 1999
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34. Modifications of glucose and lipid metabolism in cold-acclimated lean and genetically obese rats
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Bobbioni-Harsch, E., primary, Assimacopoulos-Jeannet, F., additional, and Jeanrenaud, B., additional
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- 1994
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35. In vivo evaluation of an amperometric glucose sensor implanted subcutaneously in rats
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Koudelka-Hep, M., primary, de Rooij, N. F., additional, Rohner-Jeanrenaud, F., additional, Bobbioni-Harsch, E., additional, and Jeanrenaud, B., additional
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- 1992
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36. Effect of Obesity on Growth-related Oncogene Factor-alpha, Thrombopoietin, and Tissue Inhibitor Metalloproteinase-1 Serum Levels.
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Maury E, Brichard SM, Pataky Z, Carpentier A, Golay A, and Bobbioni-Harsch E
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- 2010
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37. In-vivo behaviour of hypodermically implanted microfabricated glucose sensors
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Koudelka, M., primary, Rohner-Jeanrenaud, F., additional, Terrettaz, J., additional, Bobbioni-Harsch, E., additional, de Rooij, N.F., additional, and Jeanrenaud, B., additional
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- 1991
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38. Neuro‐humoral control of insulin secretion
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BOBBIONI‐HARSCH, E., primary and JEANRENAUD, B., additional
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- 1990
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39. P255 - Approche multifactorielle associée d’un traitement de Xenical ® à la demande dans un programme de maintien de perte de poids pendant 4 ans
- Author
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Makoundou, V., Pataky, Z., Bobbioni-Harsch, E., Gachoud, J.-P., Habicht, F., and Golay, A.
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- 2011
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40. Traitement de l’obésité sévère par by-passgastrique : le profil psychologique n’est pas prédictif de la perte de poids au cours de la première année
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Bauld, E., Iliescu, I., Bobbioni-Harsch, E., Reiner Meylan, M., Badel, S., Huber, O., and Golay, A.
- Abstract
Méthodes: Le profil psychologique a été évalué chez 139 femmes obèses morbides, avant et une année après by-passgastrique, par des tests psychologiques afin d’établir si des variables psychologiques (troubles du comportement alimentaire, dépression et anxiété) sont un facteur prédictif de la perte de poids après by-pass. Résultats: La perte de poids moyenne observée à une année est de 37,9 ± 1,4 kg. Les scores de dépression (p< 0,01), les troubles du comportement alimentaire (p< 0,001) et l’affirmation de soi (p< 0,05) sont significativement améliorés une année après by-pass. Cependant, la perte de poids à un an n’a pas été influencée par le profil psychologique des patientes. Conclusion: Le profil psychologique n’influence pas la perte de poids pendant la première année suivant la réalisation d’un by-passgastrique.
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- 2007
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41. Lifespan of Subcutaneous Glucose Sensors and their Performances During Dynamic Glycaemia Changes in Rats
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Bobbioni-Harsch, E., Rohner-Jeanrenaud, F., Koudelka-Hep, M., de Rooij, N. F., Jeanrenaud, B., and Koudelka, M.
- Abstract
Performances of a glucose sensor have been investigated during dynamic variations of plasma glucose levels. Subcutaneos glucose concentrations measured by the sensors were calculated by a one-point calibration, performed in basal conditions. A first group of sensors were chronically implanted in the subcutaneous tissue of normal rats. The animals were submitted to glucagon and insulin injection, in order to induce rapid modifications of their glycaemia. This test was repeated at different days after implantation in order to investigate the lifespan and the performance of the sensors. All the sensors were working 1 or 2 days after implantation, and 70% adequately responded to glycaemia variations at day 3 or 4. The quality of the sensors' performance remained constant as a function of the time. With a second group of sensors, we demonstrated that an efficient sterilization procedure did not alter the sensors' characteristics. At the day of implantation, the sterilized sensors' performance, during dynamic variations of plasma glucose levels, was closely similar to that of the non-sterilized sensors. The animals bearing the sterilized devices were rendered diabetic by steptozotocin (STZ) injection. Once the rats had developed a severe hyperglycaemia (1-3 days after STZ), they were injected with intravenous insulin. The subcutaneously implanted glucose sensors correctly followed the decline in plasma glucose levels. We therefore conclude that our sensor could represent a useful tool for short-term continuous blood monitoring. | Performances of a glucose sensor have been investigated during dynamic variations of plasma glucose levels. Subcutaneous glucose concentrations measured by the sensors were calculated by a one-point calibration, performed in basal conditions. A first group of sensors were chronically implanted in the subcutaneous tissue of normal rats. The animals were submitted to glucagon and insulin injection, in order to induce rapid modifications of their glycaemia. This test was repeated at different days after implantation in order to investigate the lifespan and the performance of the sensors. All the sensors were working 1 or 2 days after implantation, and 70% adequately responded to glycaemia variations at day 3 or 4. The quality of the sensor's performance remained constant as a function of the time. With a second group of sensors, we demonstrated that an efficient sterilization procedure did not alter the sensor's characteristics. At the day of implantation, the sterilized sensor's performance, during dynamic variations of plasma glucose levels, was closely similar to that of the non-sterlized sensors. The animals bearing the sterilized devices were rendered diabetic by steptozotocin (STZ) injection. Once the rats had developed a severe hyperglycaemia (1-3 days after STZ), they were injected with intravenous insulin. The subcutaneously implanted glucose sensors correctly followed the decline in plasma glucose levels. We therefore conclude that our sensor could represent a useful tool for short-term continuous blood monitoring.
42. [What is the evolution of metabolically normal obesity?]
- Author
-
Zoltan Pataky, Bobbioni-Harsch E, Makoundou V, and Golay A
- Subjects
Metabolic Syndrome ,Health Status ,Humans ,Obesity ,Insulin Resistance - Abstract
A subgroup of obese subjects which could be protected from the cardiometabolic complications of obesity is described in the literature as "metabolically normal obese subjects". However, the lack of a joint definition of metabolic normality makes the available data difficult to interpret and to compare. A recent analysis of more than 1200 subjects in a prospective study showed that 21% of obese metabolically normal subjects at baseline developed the metabolic syndrome after three years. The obese subjects who remained metabolically normal showed, at three years, significantly higher values of cardiometabolic parameters as compared to subjects with normal body weight. In conclusion, the obese subjects even without any metabolic abnormality should benefit of a closer medical monitoring as well as a regular follow-up to avoid further weight gain.
43. In-Vivo Response of Microfabricated Glucose Sensors to Glycemia Changes in Normal Rats
- Author
-
Koudelka-Hep, M., Rohner-Jeanrenaud, F., Terrettaz, J., Bobbioni-Harsch, E., de Rooij, N. F., and Jeanrenaud, B.
44. In-Vivo Evaluation of Enzyme-Based Glucose Sensors
- Author
-
Koudelka-Hep, M., Rohner-Jeanrenaud, F., Bobbioni-Harsch, E., Terrettaz, J., de Rooij, N. F., and Jeanrenaud, B.
45. [Long term weight loss maintenance]
- Author
-
Makoundou V, Habicht F, Bobbioni-Harsch E, Zoltan Pataky, and Golay A
- Subjects
Weight Loss ,Humans ,Social Support ,Overweight ,Risk Reduction Behavior - Abstract
A successful weight loss program leads to a new metabolic and endocrine balance that needs new long term management. Recent researches have shown some predictors as well as some barriers of the long term weight management. Predictors and barriers are linked to the lost weight, to the subject's habits and to the patient's psychosocial sphere. During the four-year follow-up, 78% of patients maintained 10% or more of their initial weight loss. The patients who maintained their weight presented less binge eating disorder, good motivation in diet and physical activity.
46. 40 EASD Annual Meeting of the European Association for the Study of Diabetes : Munich, Germany, 5-9 September 2004
- Author
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Veitenhansl, M., Stegner, K., Hierl, F-X, Dieterle, C., Feldmeier, H., Gutt, B., Landgraf, R., Garrow, A. P., Vileikyte, L., Findlow, A., Waterman, C., Boulton, A. J. M., Shankhdhar, K., Shankhdhar, L., Shankhdhar, U., Petrova, N. L., Foster, A. V. M., Edmonds, M. E., Ferraresi, R., Caravaggi, C., Giglio, R., Cavaiani, P., Pogliaghi, I., Sommariva, E., Katz, I. A., Harlan, A., Miranda-Palma, B., Prieto-Sanchez, L., Armstrong, D. G., Bowker, J. H., Mizel, M. S., Cernea, S., Wohlgelernter, J., Kidron, M., Modi, P., Raz, I., Arbit, E., Nosek, L., Kapitza, C., Beckett, P., Gelfand, R., Goldberg, M., Heise, T., Testa, M. A., Turner, R. R., Hayes, J. F., Scranton, R. E., Simonson, D. C., Yang, Y-W, Hsu, Y-J, Naujok, O., Francini, F., Jorns, A., Tiedge, M., Lenzen, S., Abdel-Wahab, Y. H. A., Marenah, L., Orr, D. F., Shaw, C., Flatt, P. R., Chokkalingam, K., Mansell, P. I., Clausen, P., Ekbom, P., Damm, P., Feldt-Rasmussen, U., Nielsen, B., Mathiesen, E. R., Feldt-Rasmussen, B., Dewan, S., Da Silva, N., Ternan, P. Mc, Leong, K. S., Wilding, J. P. H., Asatiani, N., Kurashvili, R., Dundua, M., Shelestova, E., Pagava, K., Ramazashvili, M., Hod, M., Smirnov, S., Petersen, J. L. A., Justesen, T. I., Ringholm Nielsen, L., Muller, C., Hojlund, K., Wensaas, A., Kase, E. T., Aas, V., Rustan, A. C., Thoresen, G. H., Levin, K., Beck-Nielsen, H., Gaster, M., Im, S-S, Kang, S-Y, Kim, S-Y, Ahn, Y-H, Lihn, A. S., Schmoll, D., Werner, T., Kienitz, A., Meyer, M., Barthel, A., Ailett, F., Sutherland, C., Walther, R., Grempler, R., Sasson, S., Reich, R., Tenenbaum, T., Alpert, E., Anfossi, G., Russo, I., Traversa, M., Massucco, P., Mattiello, L., Doronzo, G., Trovati, M., Lally, S., Tan, C. Y., Owens, D., Tomkin, G. H., Porchay, I., Pean, F., Bellili, N., Betoulle, D., Balkau, B., Tichet, J., Marre, M., Fumeron, F., Group D.E.S.I.R., Chatellier, G., Alhenc-Gelas, F., Diabhycar, Study Group, Nichols, G. A., Brown, J. B., Hayes, R. P., Bowman, L., Drexel, H., Saely, C. H., Marte, T., Benzer, W., Langer, P., Hoefle, G., Moll, W., Aczel, S., Karagiannis, E., Lubben, G., Urquhart, R., Edwards, G., Bruce, S., Howlett, H. S. C., Cugnardey, N., Turner, K. C., Park, J-S, Fiedorek, F. T., Avogaro, A., Gallo, A., Pinton, P., Rizzuto, R., Murphy, E., Ceolotto, G., Caterson, I., Guy-Grand, B., Hill, J., Barone, M., Aiello, A., Allochis, G., Borzi, V., Cannata, F., Caronna, S., D Avanzo, A., Elli, R., Formoso, G., Paroli, A., Scardapane, R., Sorichetti, P., Tatti, P., Viviani, G., Santeusanio, F., Italian Repaglinide Study Group, Manzella, D., Grella, R., Abbatecola, A. M., Paolisso, G., Sondergaard, L. G., Monster, T. B. M., Johnsen, S. P., Olsen, M. L., Mclaughlin, J. K., Sorensen, H. T., Lervang, H. H., Rungby, J., Lyssenko, V., Fredriksson, J., Almgren, P., Anevski, D., Orho-Melander, M., Sjogren, M., Tuomi, T., Groop, L., Jaziri, R., Aubert, R., Tuomilehto, J., Hu, G., Jousilahti, P., Peltonen, M., Lindstrom, J., Laina, A., Alevizaki, M., Philippou, G., Souvatzoglou, A., Anastasiou, E., Alba, S., Metcalf, B. S., Voss, L. D., Jeffery, A. N., Wilkin, T. J., Gluimer, C., Colagiuri, S., Vistisen, D., Borch-Johnsen, K., Haynes, A., Bower, C., Bulsara, M. K., Jones, T. W., Davis, E. A., Mortensen, H. B., Hougaard, P., Holl, R., Swift, P., Pociot, F., Knip, M., Hansen, L., Szadkowska, A., Pietrzak, I., Zmyslowska, A., Wyka, K., Bodalski, J., Holl, R. W., Swift, R., Hougaard, R., Gerstl, E-M, Engelsberger, I., Rabl, W., Rosenbauer, J., Grobe, H., Hofer, S. E., Krause, U., DPV-Wiss-Study Group, Dabelea, D., Morgan, T., Pettitt, D. J., Dolan, L., Mayer-Davis, E. J., Pihoker, C., Hillier, T. A., Imperatore, G., Ruggiero, A., Hamman, R. E., Stylianou, A., Tentolouris, N., Perrea, D., Tselepis, A. D., Lourida, E., Kitsou, E., Katsilambros, N., Vedovato, M., Dodesini, A. R., Lepore, G., Tiengo, A., Trevisan, R., Penno, G., Miccoli, R., Pucci, L., Lucchesi, D., Bandinelli, S., Fotino, C., Triscornia, S., Baldassari, E., Del Prato, S., Reboldi, P., Santeusanio, E., Fuller, J., Langham, R. G., Gow, R. M., Zhang, Y., Kelly, D. J., Christensen, P. K., Parving, H-H, Gilbert, R. E., Chibalin, A. V., Zhong, Z., Kotova, O., Davidescu, A., Ehren, I., Ekberg, K., Wahren, J., Wassef, L., Buckley, A. J., Rooney, K. B., Briody, J., Thompson, M., Ozanne, S. E., Thompson, C. H., Chamson-Reig, A., Summers, K., Arany, E. J. R., Hill, D. J., Solerte, S. B., Gazzaruso, C., Locatelli, E., Precerutti, S., Schifino, N., Ferrari, E., Fioravanti, M., Phenekos, C. V., Ginis, A., Fragaki, I., Chalkiadaki, M., Tzioras, C., Powell, L. A., Mcguire, G. M., Jewhurst, V., Trimble, E. R., Rasmussen, B. M., Vessby, B., Uusitupa, M., Berglund, L., Pedersen, E., Riccardi, G., Rivellese, A. A., Tapsell, L., Hermansen, K., Kanwu, Study Group, Da Silva Xavier, G., Rutter, J., Rutter, G. A., Briaud, I. M., Lingohr, M. K., Dickson, L. M., Mccuaig, J. R., Lawrence, J. C., Rhodes, C. J., Wikstrom, J. D., Katzman, S. M., Shirihai, O. S., Yang, J., Deng, S., Wang, X., Hessner, M. J., Wu, J., Wong, R. K., Sukumvanich, S., Markman, J. F., Naji, A., Wolf, B. A., Gao, Z., Rubi, B., Del Arco, A., Satrustegui, J., Maechler, P., Del Guerra, S., Lupi, R., Bugliani, M., Sbrana, S., Torri, S., Boggi, U., Vistoli, F., Mosca, F., Marchetti, P., Rennings, A. J. M., Smits, P., Stewart, M. W., Tack, C. J. J., Li, L., Nystrom, T., Gutniak, M., Ahren, B., Holst, J., Sjoholm, A., Gomes, M. B., Cailleaux, S., Tibirica, E., Albertini, J-P, Chen, H., Mather, R., Valensi, P. E., Chisalita, S. I., Arnqvist, H. J., Kraenkel, N., Adams, V., Linke, A., Gielen, S., Schuler, G., Humbrecht, R., Cipollone, F., Iezzi, A., Fazia, M., Pini, B., Cucurullo, C., Cesare, D., Schmidt, A. M., Mazurek, T., Zang, L. F., Mannion, J., Diehl, J., Martin, J., Martella, A., Zalewski, A., Shi, Y., Otter, W., Winter, M., Doering, W., Standi, E., Schnell, O., Kragelund, C., Kober, L., Faber, J., Hildebrandt, P., Steffensen, R., Pankowska, E., Szypowska, A., Lipka, M., Herwig, J., Scholl-Schilling, G., Bohles, H., Robertson, K. J., Schonle, E., Gucev, Z., Mordhorst, L., Tamer, S. C., Gall, M-A, Ludvigsson, J., Hoogma, R. P. L., Hammond, P. J., Gomis, R., Kerr, D., Bruttomesso, D., Bouter, P., Wiefels, K. J., La Calle, H., Schweitzer, D. H., Pfohl, M., Torlone, E., Krinelke, L. G., 205-Nations Study Group, Conget, I., Storms, F., Rodriguez, J., Leperlier, C., Davies, M., At Lantus, Study Group, Peter, R., Luzio, S. D., Dunseath, G., Miles, A., Hare, B., Backx, K., Pauvaday, V., Owens, D. R., Caselli, A., Marfia, G. A., Battista, C., Veves, A., Spallone, V., Uccioli, L., Gonzalez, J. S., Peyrot, M. F., Rubin, R. R., Leventhal, H., Scheffler, N., Ulbrecht, J. S., Cavanagh, P. R., Boulton, A. J., Perrin, N. A., Oglesby, A., Bastyr, E. J., Ziegler, D., Siekierka-Kleiser, E., Meyer, B., Schweers, M., Selvarajah, D., Wilkinson, I. D., Emery, C. J., Shaw, P. J., Griffiths, P. D., Tesfaye, S., Obrosova, I. G., Arezzo, J., Phillips, K., Fidarestat Study Group, Gribble, F. M., Williams, L., Reimann, F., Iakoubov, R., Whiteside, C., Brubaker, P. L., Acitores, A., Gonzalez, N., Sancho, V., Valverde, I., Villanueva-Penacarrillo, M. L., Martin-Duce, A., Trigo, M. V., Arnes, L., Burkart, V., Ichino, N., Ohashi, A., Klein, B. S., Paxian, S., Schmid, R., Karlsen, A. E., Heding, P. E., Frobose, H., Ronn, S. G., Kruhoffer, M., Orntoft, T. F., Nerup, J., Mandrup-Poulsen, T., Billestrup, N., Cardozo, A. K., Ortis, F., Feng, Y-M, Rasschaert, J., Eylen, F., Storling, J., Herchuelz, A., Eizirik, D. L., Wang, H., Kouri, G., Wollheim, C. B., Ribaux, P., Hammar, E., Parnaud, G., Rouiller, D., Bosco, D., Halban, P., Midthjell, K., Carlsson, S., Grill, V., Lau, C., Farch, K., Glumer, C., Tetens, I., Jorgensen, T., Tillin, T., Forouhi, N., Mckeigue, P., Chaturvedi, N., Zethelius, B., Hales, C. N., Berne, C., Coleman, R. L., Stevens, R. J., Holman, R. R., Christensen, J. O., Sandbak, A., Lauritzen, T., Irwin, N., Gault, V. A., Green, B. D., Harriott, P., O Harte, F. P. M., Bouman, S. D., Urso, B., Brand, C. L., Rolin, B., Ribel, U., Schaffer, L., Maggs, D. G., Ceriello, A., Frias, J. P., Wang, Y., Ruggles, J. A., Kolterman, O. G., Piconi, L., Weyer, C., Want, L. L., Ratner, R. E., Uwaifo, G. I., Thornberry, N. A., Eiermann, G., Kim, D., Lankas, G., Leiting, B., Li, Z., Lyons, K., Petrov, A., Sinha Roy, R., Woods, A., Woods, J., Zhang, B. B., Fisher, M., Moller, D. E., Weber, A. E., Dreyer, M., Bellin, C., Schmitz, V., Roesen, R., Nescheret, A. P., Bose, A. K., Mocanu, M. M., Carr, R. D., Yellon, D. M., Manolopoulos, K., Born, S., Wagner, A., Jeziorska, M., Ben Drief, A., Bashir, M., Tomlinson, D., Malik, R. A., Zeymer, U., Schwarzmaier-D Assie, A., Petzinna, D., Chiasson, J-L, Stratton, I. M., Af Bjorkesten, C-G, Fagerudd, J., Rosengard-Barlund, M., Forsblom, C., Pettersson-Fernholm, K., Waden, J., Saraheimo, M., Ronnback, M., Thorn, L., Groop, P-H, Mollsten, A., Svensson, M., Kockum, I., Rudberg, S., Brismar, K., Dahlquist, G., Hovind, P., Hansen, T. K., Tarnow, L., Thiel, S., Jensen, B. R., Flyvbjerg, A., Kankova, K., Hertlova, M., Krusova, D., Schwenke, S., Ott, J., Thom, S. A. M., Mistry, P., Sjolie, A., Larsen, B., Witt, N., Hughes, A. D., Samira, H. H., Lahiry, S., Howlader, S. R., Parveen, S., Azad Khan, A. K., Clarke, P. M., Gray, A., Stevens, R., Holman, R., Phillips, L., Phillips, P. J., Chittleborough, C., Baldock, K., Taylor, A., North West Adelaide Health Study Team, Davis, W. A., Davis, T. M. E., Knuiman, M. W., Hendrie, D., Worthley, D., Nicolucci, A., Pellegrini, F., Berardis, G., Franciosi, M., Belfiglio, M., Rossi, M. C. E., Sacco, M., Valentini, M., Richardson, C. C., Jones, P., Persaud, S., Hussain, K., Clark, A., Christie, M. R., Gniuli, D., Hribal, M. L., Accili, D., Khan, M., Zervou, S., Cheung, L., Abouna, S., Ifandi, V., Pelengaris, S., Luco, R. F., Ferrer, J., Ma, D., Shield, J. P. H., Dean, W., Leclerc, I., Knauf, C., Burcelin, R., Kelsey, G., Powers, A. C., Shostak, A., Ferrara, N., Poffenberger, G., Jerome, W. G., Brissova, M., Geloneze, S. R., Tambascia, M. A., Pareja, J. C., Chaim, E., Silveira, H. V., Geloneze, B., Ravikumar, B., Carey, P. E., Snaar, J. E., Dheelchand, D., Cook, D. B., Neely, D., Taylor, G., Morris, P. G., Taylor, R., Stears, A. J., Masding, M. G., Wootton, S. A., Sandeman, D. D., Klimes, I., Wein, S., Gasperikova, D., Ukropec, J., Wiernsperger, N., Sebokova, E., Manco, M., Mingrone, G., Granato, L., Greco, A. V., Nanni, G., Castagneto, M., Vidal, H., Calvani, M., Ferrannini, E., Alvarsson, M., Sundkvist, G., Lager, I., Henricsson, M., Berntorp, K., Fernqvist-Forbes, E., Steen, L., Orn, T., Shutler, S., Bianchi-Biscay, M., Rosenstock, J., Sugimoto, D., Strange, P., Stewart, J., Soltes Rak, E., Dailey, G., Kloos, C., Muller, U., Samann, A., Femerling, M., Risse, A., Jecht, M., Haak, T., Garg, R., Lawrence, I. G., Akinsola, M. O., Davies, M. J., Mcnally, P. G., Garber, A. J., Kim, H., Draeger, E., Aydin, L., Sengul, A., Kurklu, A., Ucak, S., Basat, O., Seber, S., Altuntas, Y., Jin, J., Yu, Y., Yu, H., Zhang, X., Mattoo, V., Eckland, D., Widel, M., Duran, S., Fajardo, C., Strand, J., Knight, D., Oakley, D., Tan, M., Sato, A., Nagao, M., Aki, N., Nakagami, T., Iwamoto, Y., Zhou, Z., Li, X., Huang, G., Yan, X., Yang, L., Peng, J., Wang, J., Tan, S., Tang, W., Furnsinn, C., Brunmair, B., Wagner, L., Gras, F., Artwohl, M., Zierhut, B., Waldhausl, W., Shine, B. L., Hopkins, D., Anand, V., Lim, E., Raval, U., Sharp, P., Corder, R., Lipkin, D., Lahiri, A., Bartnik, M., Ryden, L., Ferrari, R., Malmberg, K., Pyorala, K., Simoons, M. L., Standl, E., Soler-Soler, J., Ohrvik, J., Euro Heart Survey Investigators, Bruce, D. G., Starkstein, S. E., Schauer, U. J. W., Astrup, A. S., Pietraszek, L., Nielsen, F. S., Rossing, P., Ali, S., Smidt, U. M., Yokoyama, H., Pavkov, M. E., Knowler, W. C., Bennett, P. H., Nelson, R. G., Lopez-Alba, A., Morcillo, L., Caballero, A., Montoya, L., Jimenez, A., Maceira, B., Lewis, J. B., Ravid, M., Wajman, A., Tadgell, C., Remuzzi, G., Hunsicker, L. G., Wessman, M., Taskinen, M-R, FinnDiane Study Group, Pugliese, G., Amadio, L., Menini, S., Oddi, G., Ricci, C., Iacobini, C., Pricci, F., Sorcini, M., Pesce, C., Migliaccio, E., Giorgio, M., Pelicci, P., Di Mario, U., Lassila, M., Jandeleit-Dahm, K., Seah, K. K., Calkin, A. C., Allen, T. J., Cooper, M. E., Lopes Faria, J. M., Cavakcanti, T. C., Silva, K. C., Ferrari, A. L., Lopes Faria, J. B., Cellek, S., Foxwell, N. A., Cotter, M. A., Cameron, N. E., Tennagels, N., Jordan, H., Stahl, P., Voss, M. D., Welte, S., Werner, U., Lehmann, R., Moeschel, K., Baumgartner, F., Oeckinghaus, A., Beck, A., Weigert, C., Hennige, A., Schleicher, E. D., Haring, H. U., Mussig, K., Staiger, H., Haring, H-U, Natalicchio, A., Laviola, L., Tullio, C., Renna, L., Giorgino, R., Giorgino, F., Falasca, M., Maffucci, T., Park, D., Kang, S., Song, J., Lee, D., Lee, Y., Hariharan, N., Kunselman, L., Gu, L., Sasseville, V., Harrity, T., Cheng, P. T. W., Pratley, R. E., Schweizer, A., Mills, D., Kim, T-H, Song, X-L, Poelje, P. D., Potter, S. C., Dang, Q., Fujitaki, J. M., Linemeyer, D. L., Landau, B. R., Erion, M. D., Pankop, M., Golay, A., Despres, J., Sjostrom, L., Lawlor, D. L., Legg, K. T., Ur, E., Houweling, S. T., Kleefstra, N., Meyboom-De Jong, B., Bilo, H. J. G., Schlomer, G. 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M., Krusinova, E., Wohl, P., Klementova, M., Lanska, V., Mcdougall, C., Thomas, S. J., Kelly, I., Abbas, Z. G., Lutale, J. K., Archibald, L. K., Karunajeewa, H., Stingemore, N., Stuccio, G., Mcgechie, D., Muller, L. M. A., Hak, E., Goudzwaard, W. L., Montorsi, F., Homering, M., Sprenger, K., Goldstein, I., Asnaghi, V., Ferrari, G., Rastaldi, M., Gabellini, D., Antonio, G., Maestroni, A., Ruggieri, D., Luzi, L., Piemonti, L., Zerbini, G., Anafaroglu, I., Tutuncu, N. B., Sultana, M., Siddiqua, N., Iwasaki, T., Nakajima, A., Yoneda, M., Mukasa, K., Tanaka, S., and Sekihara, H.
47. In-Vivo Evaluation of Subcutaneously Implanted Glucose Sensors
- Author
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Koudelka-Hep, M., Bobbioni-Harsch, E., Rohner-Jeanrenaud, F., de Rooij, N. F., and Jeanrenaud, B.
48. The effect of insulin on cardiac autonomic balance predicts weight reduction after gastric bypass
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Bobbioni-Harsch, E., Sztajzel, J., Barthassat, V., Lehmann, T., Sievert, K., Chassot, G., Huber, O., Morel, P., Golay, A., Assimacopoulos-Jeannet, F., Bobbioni-Harsch, E., Sztajzel, J., Barthassat, V., Lehmann, T., Sievert, K., Chassot, G., Huber, O., Morel, P., Golay, A., and Assimacopoulos-Jeannet, F.
- Abstract
Aims/hypothesis: The aim of this study was to assess the predictive role of autonomic reactivity in body weight loss induced by gastric bypass. Methods: A group of 22 morbidly obese subjects, who were due to undergo a gastric bypass, were submitted, before surgery, to a euglycaemic-hyperinsulinaemic clamp, during which a continuous recording of the ECG was performed. The effect of insulin on cardiac autonomic balance was evaluated by performing power spectral analysis of heart rate variability. The low-to-high frequency ratio was calculated before and during the clamp and its modifications were expressed as % delta low-to-high frequency ratio (%Δ L: H). Results: Preoperative %Δ L: H showed a significant (p=0.0009, r 2=0.43), positive relationship to the reduction of body weight, measured 1 year after surgery and expressed as % excess weight loss (% EWL). Preoperative BMI was also significantly (p=0.0009, r 2=0.43) negatively related to the 12-month % EWL. In a multiple regression analysis, %Δ L: H remained a significant (p=0.003), independent predictor of body weight loss, even when preoperative BMI or age, % fat mass, insulinaemia and glucose disposal were taken into account. Conclusions/interpretation: The best correction of excess body weight was achieved by those obese subjects who had a preserved capacity to shift their cardiac autonomic balance towards a sympathetic prevalence in response to an euglycaemic-hyperinsulinaemic clamp. Further studies are needed to elucidate the mechanisms through which the autonomic nervous system influences weight reduction
49. Persistent Correlation of Ghrelin Plasma Levels with Body Mass Index Both in Stable Weight Conditions and during Gastric-bypass-induced Weight Loss
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Ybarra, J., Bobbioni-Harsch, E., Chassot, G., Huber, O., Morel, Ph, Assimacopoulos-Jeannet, F., Golay, A., Ybarra, J., Bobbioni-Harsch, E., Chassot, G., Huber, O., Morel, Ph, Assimacopoulos-Jeannet, F., and Golay, A.
- Abstract
Background: Studies done on serial changes in plasma ghrelin levels after gastric bypass (GBP) have yielded contrasting results since decreased, unchanged, or increased levels have been reported in the literature. This study investigates whether or not GBP has an inhibitory effect on fasting ghrelin levels independently of weight loss. Methods: Fasting ghrelin levels were measured in 115 stable body weight females, classified as normal body weight (NW; body mass index (BMI) < 25kg/m2), overweight (OW; BMI 25-30kg/m2), and obese subjects, divided in three subgroups with increasing BMI (BMI 30-40kg/m2; BMI 40-50kg/m2; BMI >50kg/m2). Results: Each obese subgroup showed significantly lower ghrelin levels as compared to both NW (p < 0.0001) and OW subjects (p < 0.05 or 0.005); however, no significant differences were observed within the three obese subgroups. Forty-nine obese patients underwent a GBP. Plasma ghrelin, measured at 3, 6, and 12months after GBP, significantly increased from the sixth month on (p < 0.0001). When patients were classified, at each postoperative time point, according to their actual BMI, ghrelin was significantly (p = 0.0002) related to postoperative BMI and not significantly different from ghrelin measured in stable body weight conditions. Conclusions: Fasting ghrelin displays an inversely significant correlation with BMI in both stable body weight conditions and after GBP. No evidence was found that GBP had an effect on fasting ghrelin levels, independent of weight loss
50. Upregulation of peroxisome proliferator-activated receptor gamma coactivator gene ( PGC1A ) during weight loss is related to insulin sensitivity but not to energy expenditure
- Author
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Gastaldi, G., Russell, A., Golay, A., Giacobino, J.-P, Habicht, F., Barthassat, V., Muzzin, P., Bobbioni-Harsch, E., Gastaldi, G., Russell, A., Golay, A., Giacobino, J.-P, Habicht, F., Barthassat, V., Muzzin, P., and Bobbioni-Harsch, E.
- Abstract
Aims/hypothesis: We investigated whether skeletal muscle peroxisome proliferator-activated receptor gamma coactivator-1 (PGC1A; also known as PPARGC1A) and its target mitofusin-2 (MFN2), as well as carnitine palmitoyltransferase-1 (CPT1; also known as carnitine palmitoyltransferase 1A [liver] [CPT1A]) and uncoupling protein (UCP)3, are involved in the improvement of insulin resistance and/or in the modification of energy expenditure during surgically induced massive weight loss. Materials and methods: Seventeen morbidly obese women (mean BMI: 45.9 ± 4kg/m2) were investigated before, and 3 and 12months after, Roux-en-Y gastric bypass (RYGB). We evaluated insulin sensitivity by the euglycaemic-hyperinsulinaemic clamp, energy expenditure and substrate oxidation by indirect calorimetry, and muscle mRNA expression by PCR. Results: Post-operatively, PGC1A was enhanced at 3 (p = 0.02) and 12months (p = 0.03) as was MFN2 (p = 0.008 and p = 0.03 at 3 and 12months respectively), whereas UCP3 was reduced (p = 0.03) at 12months. CPT1 did not change. The expression of PGC1A and MFN2 were strongly (p < 0.0001) related. Insulin sensitivity, which increased after surgery (p = 0.002 at 3, p = 0.003 at 12months), was significantly related to PGC1A and MFN2, but only MFN2 showed an independent influence in a multiple regression analysis. Energy expenditure was reduced at 3months post-operatively (p = 0.001 vs before RYGB), remaining unchanged thereafter until 12months. CPT1 and UCP3 were not significantly related to the modifications of energy expenditure or of lipid oxidation rate. Conclusions/interpretation: Weight loss upregulates PGC1A, which in turn stimulates MFN2 expression. MFN2 expression significantly and independently contributes to the improvement of insulin sensitivity. UCP3 and CPT1 do not seem to influence energy expenditure after RYGB
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