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2. Female Sex and Angiotensin-Converting Enzyme (ACE) Insertion/Deletion Polymorphism Amplify the Effects of Adiposity on Blood Pressure

Author

Chiriacò, Martina, primary, Tricò, Domenico, additional, Leonetti, Simone, additional, Petrie, John R., additional, Balkau, Beverley, additional, Højlund, Kurt, additional, Pataky, Zoltan, additional, Nilsson, Peter M, additional, Natali, Andrea, additional, Heine, R.J., additional, Dekker, J., additional, de Rooij, S., additional, Nijpels, G., additional, Boorsma, W., additional, Mitrakou, A., additional, Tournis, S., additional, Kyriakopoulou, K., additional, Thomakos, P., additional, Lalic, N., additional, Lalic, K., additional, Jotic, A., additional, Lukic, L., additional, Civcic, M., additional, Nolan, J., additional, Yeow, T.P., additional, Murphy, M., additional, DeLong, C., additional, Neary, G., additional, Colgan, M.P., additional, Hatunic, M., additional, Konrad, T., additional, Böhles, H., additional, Fuellert, S., additional, Baer, F., additional, Zuchhold, H., additional, Golay, A., additional, Harsch Bobbioni, E., additional, Barthassat, V., additional, Makoundou, V., additional, Lehmann, T.N.O., additional, Merminod, T., additional, Perry, C., additional, Neary, F., additional, MacDougall, C., additional, Shields, K., additional, Malcolm, L., additional, Laakso, M., additional, Salmenniemi, U., additional, Aura, A., additional, Raisanen, R., additional, Ruotsalainen, U., additional, Sistonen, T., additional, Laitinen, M., additional, Saloranta, H., additional, Coppack, S.W., additional, McIntosh, N., additional, Ross, J., additional, Pettersson, L., additional, Khadobaksh, P., additional, Laville, M., additional, Bonnet, F., additional, Brac de la Perriere, A., additional, Louche-Pelissier, C., additional, Maitrepierre, C., additional, Peyrat, J., additional, Beltran, S., additional, Serusclat, A., additional, Gabriel, R., additional, Sánchez, E.M., additional, Carraro, R., additional, Friera, A., additional, Novella, B., additional, Nilsson, P., additional, Persson, M., additional, Östling, G., additional, Melander, O., additional, Burri, P., additional, Piatti, P.M., additional, Monti, L.D., additional, Setola, E., additional, Galluccio, E., additional, Minicucci, F., additional, Colleluori, A., additional, Walker, M., additional, Ibrahim, I.M., additional, Jayapaul, M., additional, Carman, D., additional, Ryan, C., additional, Short, K., additional, McGrady, Y., additional, Richardson, D., additional, Beck-Nielsen, H., additional, Staehr, P., additional, Vestergaard, V., additional, Olsen, C., additional, Hansen, L., additional, Bolli, G.B., additional, Porcellati, F., additional, Fanelli, C., additional, Lucidi, P., additional, Calcinaro, F., additional, Saturni, A., additional, Ferrannini, E., additional, Muscelli, E., additional, Pinnola, S., additional, Kozakova, M., additional, Casolaro, A., additional, Astiarraga, B.D., additional, Mingrone, G., additional, Guidone, C., additional, Favuzzi, A., additional, Di Rocco, P., additional, Anderwald, C., additional, Bischof, M., additional, Promintzer, M., additional, Krebs, M., additional, Mandl, M., additional, Hofer, A., additional, Luger, A., additional, Waldhäusl, W., additional, Roden, M., additional, Dekker, J.M., additional, Mari, A., additional, Petrie, J., additional, Gaffney, P., additional, Boran, G., additional, Kok, A., additional, Patel, S., additional, Gastaldelli, A., additional, Ciociaro, D., additional, Guillanneuf, M.T., additional, Mhamdi, L., additional, Landucci, L., additional, Hills, S., additional, Mota, L., additional, Pacini, G., additional, Cavaggion, C., additional, Tura, A., additional, and Hills, S.A., additional

Published
2022
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4. Gamma-glutamyltransferase, arterial remodeling and prehypertension in a healthy population at low cardiometabolic risk

Author

Kozakova, M. Gastaldelli, A. Morizzo, C. Højlund, K. Nilssson, P.M. Ferrannini, E. Heine, R.J. Dekker, J. de Rooij, S. Nijpels, G. Boorsma, W. Kok, A. Mitrakou, A. Tournis, S. Kyriakopoulou, K. Thomakos, P. Lalic, N. Lalic, K. Jotic, A. Lukic, L. Civcic, M. Nolan, J. Yeow, T.P. Murphy, M. DeLong, C. Neary, G. Colgan, M.P. Hatunic, M. Gaffney, P. Boran, G. Konrad, T. Böhles, H. Fuellert, S. Baer, F. Zuchhold, H. Golay, A. Bobbioni, E.H. Barthassat, V. Makoundou, V. Lehmann, T.N.O. Merminod, T. Petrie (now Dundee), J.R. 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, S.W. McIntosh, N. Ross, J. Pettersson, L. Khadobaksh, P. Balkau, B. Mhamdi, L. Guillanneuf, M.T. Laville, M. Bonnet, F. Brac de la Perriere, A. Louche-Pelissier, C. Maitrepierre, C. Peyrat, J. Beltran, S. Serusclat, A. Gabriel, R. Sánchez, E.M. Carraro, R. Friera, A. Novella, B. Nilssone, P. Persson, M. Östling, G. Melander, O. Burri, P. Piatti, P.M. Monti, L.D. Setola, E. Galluccio, E. Minicucci, F. Colleluori, A. Walker, M. Ibrahim, I.M. Jayapaul, M. Carman, D. Ryan, C. Short, K. McGrady, Y. Richardson, D. Patel, S. Beck-Nielsen, H. Staehr, P. Hojlundd, K. Vestergaard, V. Olsen, C. Hansen, L. Bolli, G.B. Porcellati, F. Fanelli, C. Lucidi, P. Calcinaro, F. Saturni, A. Ferranninia, E. Natali, A. Muscelli, E. Pinnola, S. Kozakovaa, M. Hills, S.A. Landucci, L. Mota, L. Gastaldelli, A. Ciociaro, D. Mari, A. Pacini, G. Cavaggion, C. 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. Palombo, C. RISC Investigators

Abstract

Plasma gamma-glutamyltransferase (GGT) was suggested to reflect the level of systemic oxidative stress. Oxidative stress induces changes in arterial structure and function and contributes to the development of hypertension. Therefore, GGT may be associated with arterial remodeling and blood pressure (BP) increment, even in absence of disease. To test this hypothesis, we evaluated, in 825 healthy subjects at low cardiometabolic risk, the associations of plasma GGT with carotid artery intima-media thickness (IMT), luminal diameter and prehypertension; in 154 subjects was evaluated also the association with aortic stiffness (cfPWV). Associations were controlled for insulin sensitivity, C-reactive protein, and life-style habits. In the main population, BP was remeasured after 3 years. Carotid diameter and cfPWV, but not IMT, were directly and independently related to plasma GGT. Subjects with prehypertension (N = 330) had higher GGT as compared with subjects with normal BP (22 [14] vs 17 [11] IU/L; adjusted P = 0.001), and within prehypertensive subjects, those who developed hypertension during 3 years had higher GGT than those without incident hypertension (27 [16] vs 21 [14] IU/L; adjusted P < 0.05). Within subjects with arterial stiffness measurement, those with prehypertension (N = 79) had higher both GGT and arterial stiffness (25 [14] vs 16 [20] IU/L and 9.11 ± 1.24 vs 7.90 ± 0.94 m/s; adjusted P < 0.01 and

Published
2021

9. Gamma-glutamyltransferase, arterial remodeling and prehypertension in a healthy population at low cardiometabolic risk

Author

Kozakova, M., Gastaldelli, A., Morizzo, C., Hojlund, K., Nilssson, P. M., Ferrannini, E., Heine, R. J., Dekker, J., de Rooij, S., Nijpels, G., Boorsma, W., Kok, A., Mitrakou, A., Tournis, S., Kyriakopoulou, K., Thomakos, P., Lalic, N., Lalic, K., Jotic, A., Lukic, L., Civcic, M., Nolan, J., Yeow, T. P., Murphy, M., Delong, C., Neary, G., Colgan, M. P., Hatunic, M., Gaffney, P., Boran, G., Konrad, T., Bohles, H., Fuellert, S., Baer, F., Zuchhold, H., Golay, A., Bobbioni, E. H., Barthassat, V., Makoundou, V., Lehmann, T. N. O., Merminod, T., Petrie (now Dundee), J. R., 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, S. W., Mcintosh, N., Ross, J., Pettersson, L., Khadobaksh, P., Balkau, B., Mhamdi, L., Guillanneuf, M. T., Laville, M., Bonnet, F., Brac de la Perriere, A., Louche-Pelissier, C., Maitrepierre, C., Peyrat, J., Beltran, S., Serusclat, A., Gabriel, R., Sanchez, E. M., Carraro, R., Friera, A., Novella, B., Nilssone, P., Persson, M., Ostling, G., Melander, O., Burri, P., Piatti, P. M., Monti, L. D., Setola, E., Galluccio, E., Minicucci, F., Colleluori, A., Walker, M., Ibrahim, I. M., Jayapaul, M., Carman, D., Ryan, C., Short, K., Mcgrady, Y., Richardson, D., Patel, S., Beck-Nielsen, H., Staehr, P., Hojlundd, K., Vestergaard, V., Olsen, C., Hansen, L., Bolli, G. B., Porcellati, F., Fanelli, C., Lucidi, P., Calcinaro, F., Saturni, A., Ferranninia, E., Natali, A., Muscelli, E., Pinnola, S., Kozakovaa, M., Hills, S. A., Landucci, L., Mota, L., Ciociaro, D., Mari, A., Pacini, Giovanni, Cavaggion, C., Mingrone, Geltrude, Guidone, C., Favuzzi, Angela Maria Rita, Di Rocco, P., Anderwald, C., Bischof, M., Promintzer, M., Krebs, M., Mandl, M., Hofer, A., Luger, A., Waldhausl, W., Roden, M., Palombo, C., Pacini G., Mingrone G. (ORCID:0000-0003-2021-528X), Favuzzi A., Kozakova, M., Gastaldelli, A., Morizzo, C., Hojlund, K., Nilssson, P. M., Ferrannini, E., Heine, R. J., Dekker, J., de Rooij, S., Nijpels, G., Boorsma, W., Kok, A., Mitrakou, A., Tournis, S., Kyriakopoulou, K., Thomakos, P., Lalic, N., Lalic, K., Jotic, A., Lukic, L., Civcic, M., Nolan, J., Yeow, T. P., Murphy, M., Delong, C., Neary, G., Colgan, M. P., Hatunic, M., Gaffney, P., Boran, G., Konrad, T., Bohles, H., Fuellert, S., Baer, F., Zuchhold, H., Golay, A., Bobbioni, E. H., Barthassat, V., Makoundou, V., Lehmann, T. N. O., Merminod, T., Petrie (now Dundee), J. R., 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, S. W., Mcintosh, N., Ross, J., Pettersson, L., Khadobaksh, P., Balkau, B., Mhamdi, L., Guillanneuf, M. T., Laville, M., Bonnet, F., Brac de la Perriere, A., Louche-Pelissier, C., Maitrepierre, C., Peyrat, J., Beltran, S., Serusclat, A., Gabriel, R., Sanchez, E. M., Carraro, R., Friera, A., Novella, B., Nilssone, P., Persson, M., Ostling, G., Melander, O., Burri, P., Piatti, P. M., Monti, L. D., Setola, E., Galluccio, E., Minicucci, F., Colleluori, A., Walker, M., Ibrahim, I. M., Jayapaul, M., Carman, D., Ryan, C., Short, K., Mcgrady, Y., Richardson, D., Patel, S., Beck-Nielsen, H., Staehr, P., Hojlundd, K., Vestergaard, V., Olsen, C., Hansen, L., Bolli, G. B., Porcellati, F., Fanelli, C., Lucidi, P., Calcinaro, F., Saturni, A., Ferranninia, E., Natali, A., Muscelli, E., Pinnola, S., Kozakovaa, M., Hills, S. A., Landucci, L., Mota, L., Ciociaro, D., Mari, A., Pacini, Giovanni, Cavaggion, C., Mingrone, Geltrude, Guidone, C., Favuzzi, Angela Maria Rita, Di Rocco, P., Anderwald, C., Bischof, M., Promintzer, M., Krebs, M., Mandl, M., Hofer, A., Luger, A., Waldhausl, W., Roden, M., Palombo, C., Pacini G., Mingrone G. (ORCID:0000-0003-2021-528X), and Favuzzi A.

Abstract

Plasma gamma-glutamyltransferase (GGT) was suggested to reflect the level of systemic oxidative stress. Oxidative stress induces changes in arterial structure and function and contributes to the development of hypertension. Therefore, GGT may be associated with arterial remodeling and blood pressure (BP) increment, even in absence of disease. To test this hypothesis, we evaluated, in 825 healthy subjects at low cardiometabolic risk, the associations of plasma GGT with carotid artery intima-media thickness (IMT), luminal diameter and prehypertension; in 154 subjects was evaluated also the association with aortic stiffness (cfPWV). Associations were controlled for insulin sensitivity, C-reactive protein, and life-style habits. In the main population, BP was remeasured after 3 years. Carotid diameter and cfPWV, but not IMT, were directly and independently related to plasma GGT. Subjects with prehypertension (N = 330) had higher GGT as compared with subjects with normal BP (22 [14] vs 17 [11] IU/L; adjusted P = 0.001), and within prehypertensive subjects, those who developed hypertension during 3 years had higher GGT than those without incident hypertension (27 [16] vs 21 [14] IU/L; adjusted P < 0.05). Within subjects with arterial stiffness measurement, those with prehypertension (N = 79) had higher both GGT and arterial stiffness (25 [14] vs 16 [20] IU/L and 9.11 ± 1.24 vs 7.90 ± 0.94 m/s; adjusted P < 0.01 and <0.05). In the view of previous evidence linking plasma GGT concentration to the level of systemic oxidative stress, our findings suggest a role of oxidative stress in subclinical arterial damage and in prehypertension, even in healthy subjects free of cardiometabolic risk. Arterial organ damage may represent the link between GGT and hypertension.

Published
2020

16. Circulating palmitoleic acid is an independent determinant of insulin sensitivity, beta cell function and glucose tolerance in non-diabetic individuals: a longitudinal analysis

Author

Trico, D, Mengozzi, A, Nesti, L, Hatunic, M, Sanchez, Rg, Konrad, T, Lalic, K, Lalic, Nm, Mari, A, Natali, A, Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, Tournis, S, Kyriakopoulou, K, Thomakos, P, Lalic, N, Jotic, A, Lukic, L, Civcic, M, Nolan, J, Yeow, Tp, Murphy, M, Delong, C, Neary, G, Colgan, Mp, Bohles, H, Fuellert, S, Baer, F, Zuchhold, H, Golay, A, Bobbioni, Eh, Barthassat, V, Makoundou, V, Lehmann, Tno, Merminod, T, Petrie, Jr, 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, Sanchez, Em, Carraro, R, Friera, A, Novella, B, Nilsson, P, Persson, M, Ostling, G, Melander, O, Burri, P, Piatti, Pm, Monti, Ld, Setola, E, Galluccio, E, Minicucci, F, Colleluori, A, Walker, M, Ibrahim, I, Jayapaul, M, Carman, D, Ryan, C, Short, K, Mcgrady, Y, Richardson, D, Beck-Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Gb, Porcellati, F, Fanelli, C, Lucidi, P, Calcinaro, F, Saturni, A, Ferrannini, E, Muscelli, E, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, Mingrone, G, Guidone, C, Favuzzi, A, Di Rocco, P, Anderwald, C, Bischof, M, Promintzer, M, Krebs, M, Mandl, M, Hofer, A, Luger, A, Waldhausl, W, Roden, M, Balkau, B, Dekker, Jm, Petrie, J, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Landucci, L, Hills, S, Mota, L, Pacini, G, Cavaggion, C, Tura, A, Hills, Sa, and Mota, L.

Subjects
Adult, Blood Glucose, Male, 0301 basic medicine, medicine.medical_specialty, Subcutaneous adipose tissue, Endocrinology, Diabetes and Metabolism, Adipose tissue, 030209 endocrinology & metabolism, Carbohydrate metabolism, Palmitate, NEFA, Fatty Acids, Monounsaturated, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Insulin resistance, Insulin-Secreting Cells, Internal medicine, Adipokine, Internal Medicine, medicine, Humans, Palmitoleic acid, Longitudinal Studies, Monounsaturated fatty acid, Lipokine, Beta cell function, Glucose tolerance, Metabolism, Glucose Tolerance Test, Middle Aged, medicine.disease, Insulin sensitivity, Cross-Sectional Studies, 030104 developmental biology, Endocrinology, chemistry, Body Composition, Female, Insulin Resistance, Hormone
Abstract

Experimental studies suggest that the fatty acid palmitoleate may act as an adipocyte-derived lipid hormone (or ‘lipokine’) to regulate systemic metabolism. We investigated the relationship of circulating palmitoleate with insulin sensitivity, beta cell function and glucose tolerance in humans. Plasma NEFA concentration and composition were determined in non-diabetic individuals from the Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) study cohort at baseline (n = 1234) and after a 3 year follow-up (n = 924). Glucose tolerance, insulin secretion and beta cell function were assessed during an OGTT. Whole-body insulin sensitivity was measured by a hyperinsulinaemic–euglycaemic clamp (M/I) and OGTT (oral glucose insulin sensitivity index [OGIS]). The liver insulin resistance index was calculated using clinical and biochemical data. Body composition including fat mass was determined by bioelectrical impedance. Circulating palmitoleate was proportional to fat mass (r = 0.21, p < 0.0001) and total NEFA levels (r = 0.19, p < 0.0001). It correlated with whole-body insulin sensitivity (M/I: standardised regression coefficient [std. β] = 0.16, p < 0.0001), liver insulin resistance (std. β = −0.14, p < 0.0001), beta cell function (potentiation: std. β = 0.08, p = 0.045) and glucose tolerance (2 h glucose: std. β = −0.24, p < 0.0001) after adjustment for age, sex, BMI, adiposity and other NEFA. High palmitoleate concentrations prevented the decrease in insulin sensitivity associated with excess palmitate (p = 0.0001). In a longitudinal analysis, a positive independent relationship was observed between changes in palmitoleate and insulin sensitivity over time (std. β = 0.07, p = 0.04). We demonstrated that plasma palmitoleate is an independent determinant of insulin sensitivity, beta cell function and glucose tolerance in non-diabetic individuals. These results support the role of palmitoleate as a beneficial lipokine released by adipose tissue to prevent the negative effects of adiposity and excess NEFA on systemic glucose metabolism.

Published
2019

21. Insulin sensitivity and carotid intima-media thickness: relationship between insulin sensitivity and cardiovascular risk study

Author

Kozakova, M, Natali, A, Dekker, J, Beck Nielsen, H, Laakso, M, Nilsson, P, Balkau, B, Ferrannini, E, Heine, Rj, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie Dundee JR, Perry, C, Neary, F, Macdougall, C, Shields, K, Malcolm, L, 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, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, Carraro, R, Friera, A, Novella, B, 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, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, Filippo, Saturni, 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, Dekker, Ferrannini, Mari, A, Natali, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Mota, L, Pacini, G, Cavaggion, C, Hills, Sa, Landucci, L, Mota, L., Epidemiology and Data Science, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adult, Blood Glucose, Carotid Artery Diseases, Male, medicine.medical_specialty, Adipokine, Carotid Intima-Media Thickness, Risk Assessment, Sensitivity and Specificity, Cohort Studies, Insulin resistance, Age Distribution, Adipokines, Diabetes mellitus, Internal medicine, medicine.artery, medicine, Humans, Common carotid artery, cardiovascular diseases, Sex Distribution, Retrospective Studies, business.industry, Incidence, Fatty Acids, Insulin sensitivity, Cholesterol, LDL, Glucose Tolerance Test, Middle Aged, medicine.disease, Prognosis, Endocrinology, Intima-media thickness, Cardiovascular Diseases, Cohort, Glucose Clamp Technique, cardiovascular system, Female, Insulin Resistance, Cardiology and Cardiovascular Medicine, business, Dyslipidemia
Abstract

Objective— Despite a wealth of experimental data in animal models, the independent association of insulin resistance with early carotid atherosclerosis in man has not been demonstrated. Approach and Results— We studied a European cohort of 525 men and 655 women (mean age, 44±8 years) free of conditions known to affect carotid wall (diabetes mellitus, hypertension, and dyslipidemia). All subjects received an oral glucose tolerance test, a euglycemic hyperinsulinemic clamp (M/I as a measure of insulin sensitivity), and B-mode carotid ultrasound. In 833 participants (380 men), the carotid ultrasound was repeated after 3 years. In men, baseline intima-media thickness in the common carotid artery (CCA-IMT) was significantly higher ( P P Conclusions— In young-to-middle aged apparently healthy people, the association of CCA-IMT with insulin sensitivity and its metabolic correlates differs between men and women. Lower insulin sensitivity is associated with higher IMT only in men; this association seems to be mediated by circulating free fatty acids and adipocytokines. In women, CCA-IMT is independently associated with fasting plasma glucose.

Published
2013

22. Insulin resistance and β-cell function in smokers : Results from the EGIR-RISC European multicentre study

Author

Gottsäter, M., Balkau, B., Hatunic, M., Gabriel, R., Anderwald, C. H., Dekker, J., Lalic, N., Nilsson, P. M., Gottsäter, M., Balkau, B., Hatunic, M., Gabriel, R., Anderwald, C. H., Dekker, J., Lalic, N., and Nilsson, P. M.

Abstract

Aims: Tobacco smoking is known to increase the long-term risk of developing Type 2 diabetes mellitus, but the mechanisms involved are poorly understood. This observational, cross-sectional study aims to compare measures of insulin sensitivity and β-cell function in current, ex- and never-smokers. Methods: The study population included 1246 people without diabetes (mean age 44 years, 55% women) from the EGIR-RISC population, a large European multicentre cohort. Insulin sensitivity was measured using a hyperinsulinaemic, euglycaemic clamp and the homeostatic model assessment - insulin resistance (HOMA-IR) index. Two β-cell function parameters were derived from measures during an oral glucose tolerance test: the early insulin response index and β-cell glucose sensitivity. Additionally, the areas under the curve during the oral glucose tolerance test were calculated for glucose, insulin and C-peptide. Results: According to smoking habits, there were differences in insulin sensitivity, which was lower in women who smoked, and in β-cell glucose sensitivity, which was lower in men who smoked, but these associations lost significance after adjustment. However, after adjustment, the areas under the glucose and the C-peptide curves during the oral glucose tolerance test were significantly higher in men who smoked. Conclusions: Smoking habits were not independently associated with insulin sensitivity or β-cell function in a healthy middle-aged European population. Health-selection bias, methodological shortcomings or a true lack of causal links between smoking and impaired insulin sensitivity/secretion are possible explanations. The mechanisms behind the observed increased glucose and C-peptide areas under the curve during the oral glucose tolerance test in male smokers need to be further evaluated.

Published
2017

23. Modification and validation of the triglyceride-to-HDL cholesterol ratio as a surrogate of insulin sensitivity in white juveniles and adults without diabetes mellitus: The single point insulin sensitivity estimator (SPISE)

Author

Paulmichl, K. Hatunic, M. Højlund, K. Jotic, A. Krebs, M. Mitrakou, A. Porcellati, F. Tura, A. Bergsten, P. Forslund, A. Manell, H. Widhalm, K. Weghuber, D. Anderwald, C.-H.

Abstract

BACKGROUND: The triglyceride-to-HDL cholesterol (TG/HDL-C) ratio was introduced as a tool to estimate insulin resistance, because circulating lipid measurements are available in routine settings. Insulin, Cpeptide, and free fatty acids are components of other insulin-sensitivity indices but their measurement is expensive. Easier and more affordable tools are of interest for both pediatric and adult patients. METHODS: Study participants from the Relationship Between Insulin Sensitivity and Cardiovascular Disease [43.9 (8.3) years, n 1260] as well as the Beta-Cell Function in Juvenile Diabetes and Obesity study cohorts [15 (1.9) years, n 29] underwent oral-glucosetolerance tests and euglycemic clamp tests for estimation of whole-body insulin sensitivity and calculation of insulin sensitivity indices. To refine the TG/HDL ratio, mathematical modeling was applied including body mass index (BMI), fasting TG, andHDLcholesterol and compared to the clamp-derived M-value as an estimate of insulin sensitivity. Each modeling result was scored by identifying insulin resistance and correlation coefficient. The Single Point Insulin Sensitivity Estimator (SPISE) was compared to traditional insulin sensitivity indices using area under the ROC curve (aROC) analysis and 2 test. RESULTS: The novel formula for SPISE was computed as follows: SPISE 600 HDL-C0.185/(TG0.2 BMI1.338), with fasting HDL-C (mg/dL), fasting TG concentrations (mg/dL), and BMI (kg/m2). A cutoff value of 6.61 corresponds to an M-value smaller than 4.7 mg kg1 min1 (aROC, M:0.797). SPISE showed a significantly better aROC than the TG/HDL-C ratio. SPISE aROC was comparable to the Matsuda ISI (insulin sensitivity index) and equal to the QUICKI (quantitative insulin sensitivity check index) and HOMA-IR (homeostasis model assessment-insulin resistance) when calculated with M-values. CONCLUSIONS: The SPISE seems well suited to surrogate whole-body insulin sensitivity from inexpensive fasting single-point blood draw and BMI in white adolescents and adults. © 2016 American Association for Clinical Chemistry.0.

Published
2016

24. Insulin sensitivity and beta-cell function in the offspring of type 2 diabetic patients: impact of line of inheritance

Author

Natali, A., Muscelli, E., Mari, A., Balkau, B., Walker, M., Tura, A., Anderwald, C., Golay, A., Ferrannini, E., Dekker, J.M., Nijpels, G., Epidemiology and Data Science, General practice, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adult, Male, medicine.medical_specialty, Offspring, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Clinical Biochemistry, Inheritance Patterns, Context (language use), Type 2 diabetes, Carbohydrate metabolism, Biochemistry, Endocrinology, Child of Impaired Parents, Insulin-Secreting Cells, Internal medicine, Diabetes mellitus, medicine, Humans, Child, Pancreatic hormone, Family Health, business.industry, Insulin, Biochemistry (medical), Glucose Tolerance Test, Middle Aged, medicine.disease, Actigraphy, Diabetes Mellitus, Type 2, Adult Children, Female, Insulin Resistance, business, Dyslipidemia
Abstract

What defects in glucose metabolism are present in offspring of type 2 diabetic patients (FHD(+) with a positive family history of diabetes) and to what extent they depend on line of inheritance are uncertain.The objective of this study was to assess clinical phenotype, insulin sensitivity, and β-cell function in FHD(+) by line of inheritance.The subjects included 1221 nondiabetic men and women aged 30-60 yr, of whom 343 were FHD(+), who participated to the Relationship between Insulin Sensitivity and Cardiovascular Disease Investigators study, a multicenter European collaboration.The main outcome measures included the following: insulin sensitivity by the euglycemic clamp; total insulin secretion, β-cell glucose sensitivity, rate sensitivity, and potentiation by C-peptide deconvolution and oral glucose tolerance test modeling; and acute insulin response to i.v. glucose.Older age, increased adiposity, and dyslipidemia were the dominant features of FHD(+) clinical phenotype. FHD(+) subjects had a 13% reduction in insulin sensitivity [95% confidence interval (CI) of 6,19], which in males was more pronounced (17%, CI: 5,24 vs. 10%, CI: 2,20) and influenced by maternal inheritance (21%, CI: 5,38 vs. 14%, CI: 0,28 paternal). After adjusting for confounders, β-cell glucose sensitivity and rate sensitivity were reduced by 13% (CI: 3,20) and 18% (CI: 5,35), respectively (P0.01 for both); the former defect was more severe with maternal (16%, CI: 4,26) than paternal (9%, CI: -2,22) transmission. Independently of line of inheritance, both fasting and total oral glucose tolerance test insulin secretion were increased in proportion to the insulin resistance, whereas acute insulin response and rate sensitivity were not.Diabetic inheritance is expressed as a characteristic clinical phenotype associated with defects in insulin sensitivity and β-cell glucose sensitivity, which are accentuated along maternal inheritance. β-Cell rate sensitivity is reduced and β-cell dynamic responses to insulin resistance are lost independently of the line of inheritance.

Published
2010

25. Fasting insulin has a stronger association with an adverse cardiometabolic risk profile than insulin resistance: the RISC study

Author

de Rooij SR, Dekker, Jm, Kozakova, M, Mitrakou, A, Melander, O, Gabriel, R, Guidone, C, Højlund, K, Murphy, Ms, Nijpels, G, Dekker, J, de Rooij, S, Boorsma, P, 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, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, Perry, C, Neary, F, Macdougall, C, Shields, K, Malcolm, L, Laakso, M, Salmenniemi, U, Aura, A, Raisanen, R, Raisanen, U, Sistonen, T, Laitinen, M, Saloranta, H, Coppack, Sw, Mcintosh, N, Ross, J, Pettersson, L, Khadobaksh, P, Laville, M, Bonnet, F, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, S, Sánchez, Me, Carraro, R, Friera, A, Perez, S, Nilsson, P, Persson, M, Ostling, G, 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, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Gb, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Mingrone, G, Favuzzi, A, Di Rocco, P, Anderwald, C, Bischof, M, Promintzer, M, Krebs, M, Mandl, M, Hofe, A, Luger, A, Waldhäusl, W, Roden, M, Balkau, B, Mari, A, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Landucci, L, Hills, S, Mota, L, Pacini, G, Cavaggion, C, Hills, Sa, Mota, Epidemiology and Data Science, General practice, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adult, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Cohort Studies, Endocrinology, Insulin resistance, Internal medicine, Prevalence, medicine, Hyperinsulinemia, Humans, Insulin, Ultrasonography, Metabolic Syndrome, Glucose tolerance test, medicine.diagnostic_test, business.industry, Metabolic Syndrome X, Fasting, General Medicine, Odds ratio, Glucose Tolerance Test, Middle Aged, Glucose clamp technique, medicine.disease, Cardiovascular Diseases, Europe, Female, Glucose Clamp Technique, Insulin Resistance, Tunica Media, Intima-media thickness, Metabolic syndrome, business
Abstract

ObjectiveFasting insulin concentrations are often used as a surrogate measure of insulin resistance. We investigated the relative contributions of fasting insulin and insulin resistance to cardiometabolic risk and preclinical atherosclerosis.Design and methodsThe Relationship between Insulin Sensitivity and Cardiovascular disease (RISC) cohort consists of 1326 European non-diabetic, overall healthy men and women aged 30–60 years. We performed standard oral glucose tolerance tests and hyperinsulinemic euglycemic clamps. As a general measure of cardiovascular risk, we assessed the prevalence of the metabolic syndrome in 1177 participants. Carotid artery intima media thickness (IMT) was measured by ultrasound to assess preclinical atherosclerosis.ResultsFasting insulin was correlated with all elements of the metabolic syndrome. Insulin sensitivity (M/I) was correlated with most elements. The odds ratio for the metabolic syndrome of those in the highest quartile of fasting insulin compared with those in the lower quartiles was 5.4 (95% confidence interval (CI) 2.8–10.3, adjusted for insulin sensitivity) in men and 5.1 (2.6–9.9) in women. The odds ratio for metabolic syndrome of those with insulin sensitivity in the lowest quartile of the cohort compared with those in the higher quartiles was 2.4 (95% CI 1.3–4.7, adjusted for fasting insulin) in men and 1.6 (0.8–3.1) in women. Carotid IMT was only statistically significantly associated with fasting insulin in both men and women.ConclusionsFasting insulin, a simple and practical measure, may be a stronger and independent contributor to cardiometabolic risk and atherosclerosis in a healthy population than hyperinsulinemic euglycemic clamp-derived insulin sensitivity.

Published
2009

26. Fatty liver is associated with insulin resistance, risk of coronary heart disease, and early atherosclerosis in a large European population

Author

Gastaldelli, A., Kozakova, M., Hojlund, K., Flyvbjerg, A., Favuzzi, A., Mitrakou, A., Balkau, B., Heine, R. J., Dekker, J., Nijpels, G., Boorsma, W., Tournis, S., Kyriakopoulou, K., Thomakos, P., Lalic, N., Lalic, K., Jotic, A., Lukic, L., Civcic, M., Nolan, J., Yeow, T. P., Murphy, M., Delong, C., Neary, G., Colgan, M. P., Hatunic, M., Konrad, T., Bohles, H., Fuellert, S., Baer, F., Zuchhold, H., Golay, A., Harsch Bobbioni, E., Barthassat, V., Makoundou, V., Lehmann, T. N. O., Merminod, T., Petrie, J. R., 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, S. W., Mcintosh, N., Khadobaksh, P., Laville, M., Bonnet, F., Brac de la Perriere, A., Louche-Pelissier, C., Maitrepierre, C., Peyrat, J., Serusclat, A., Gabriel, R., Sanchez, E. M., Carraro, R., Friera, A., Novella, B., Nilsson, P., Persson, M., Oostling, G., Melander, O., Burri, P., Piatti, P. M., Monti, L. D., Setola, E., Galluccio, E., Minicucci, F., Colleluori, A., Walker, M., Ibrahim, I. M., Jayapaul, M., Carman, D., Short, K., Mcgrady, Y., Richardson, D., Beck-Nielsen, H., Staehr, P., Vestergaard, V., Olsen, C., Hansen, L., Bolli, G. B., Porcellati, F., Fanelli, C., Lucidi, P., Calcinaro, F., Saturni, A., Ferrannini, E., Natali, A., Muscelli, E., Pinnola, S., Mingrone, G., Guidone, C., Di Rocco, P., Anderwald, C., Bischof, M., Promintzer, M., Krebs, M., Mandl, M., Hofer, A., Luger, A., Waldhaausl, W., Roden, M., Dekker, J. M., Mari, A., Gaffney, P., Boran, G., Kok, A., Patel, S., Ciociaro, D., Guillanneuf, M. T., Mhamdi, L., Pacini, G., Cavaggion, C., Hills, S. A., Landucci, L., Mota, L., Epidemiology and Data Science, Internal medicine, General practice, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adult, Male, medicine.medical_specialty, Carotid Artery, Common, Coronary Disease, Impaired glucose tolerance, Framingham Heart Study, Insulin resistance, Risk Factors, Internal medicine, Diabetes mellitus, Humans, Medicine, Prospective Studies, Risk factor, Ultrasonography, Hepatology, Adiponectin, business.industry, Fatty liver, Middle Aged, Atherosclerosis, medicine.disease, Common, Europe, Fatty Liver, Endocrinology, Female, Insulin Resistance, Intima-media thickness, Carotid Artery, business
Abstract

Udgivelsesdato: 2009-May Patients with fatty liver (FL) disease have a high risk of developing diabetes and cardiovascular diseases. The aim was to evaluate the association between FL, insulin resistance (IR), coronary heart disease (CHD) risk, and early atherosclerosis in a large European population (RISC Study). In 1,307 nondiabetic subjects (age 30-60 years) recruited at 19 centers, we evaluated liver enzymes, lipids, insulin sensitivity (by euglycemic-hyperinsulinemic clamp), glucose tolerance (by 75 g oral glucose tolerance test), carotid atherosclerosis as intima media thickness (IMT), CHD risk by the Framingham Heart study prediction score, and physical activity (by accelerometer). The presence of FL was estimated using the fatty liver index (FLI; >60, likelihood >78% presence FL; FLI 91% absence of FL). Subjects were divided into three groups: G1: FLI 60 (n = 234), G2: intermediate group (n = 465). Compared to G1, G3 included more men (70% versus 24%) and people with impaired glucose tolerance (23% versus 5%). IMT increased with FLI (G3 = 0.64 +/- 0.08 versus G1 = 0.58 +/- 0.08 mm, P < 0.0001). FLI was associated with increased CHD risk (r = 0.48), low-density lipoprotein cholesterol (r = 0.33), alanine aminotransferase (r = 0.48), aspartate aminotransferase (r = 0.25), systolic blood pressure (r = 0.39) and IMT (r = 0.30), and reduced insulin sensitivity (r = -0.43), high-density lipoprotein cholesterol (r = -0.50), adiponectin (r = -0.42), and physical activity (r = -0.16, all P < 0.0001). The correlations hold also in multivariate analysis after adjusting for age, gender, and recruiting center. Conclusion: In middle-age nondiabetic subjects, increased IMT, CHD risk, and reduced insulin sensitivity are associated with high values of FLI.

Published
2009

27. Obesity and carotid artery remodeling

Author

Kozakova, M., Palombo, C., Morizzo, C., Hojlund, K., Hatunic, M., Balkau, B., Nilsson, P. M., Ferrannini, E., Heine, R. J., Dekker, J., De Rooij, S., Nijpels, G., Boorsma, W., Mitrakou, A., Tournis, S., Kyriakopoulou, K., Thomakos, P., Lalic, N., Lalic, K., Jotic, A., Lukic, L., Civcic, M., Nolan, J., Yeow, T. P., Murphy, M., Delong, C., Neary, G., Colgan, M. P., Konrad, T., Bohles, H., Fuellert, S., Baer, F., Zuchhold, H., Golay, A., Bobbioni, E. H., Barthassat, V., Makoundou, V., Lehmann, T. N. O., Merminod, T., Petrie, J. R., 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, S. W., Mcintosh, N., Angel, ROSS JOHN, Pettersson, L., Khadobaksh, P., Laville, M., Bonnet, F., De La Perriere, A. B., Louche-Pelissier, C., Maitrepierre, C., Peyrat, J., Beltran, S., Serusclat, A., Gabriel, R., Sanchez, E. M., Carraro, R., Friera, A., Novella, B., Nilsson, P., Persson, M., Ostling, G., Melander, O., Burri, P., Piatti, P. M., Monti, L. D., Setola, E., Galluccio, E., Minicucci, F., Colleluori, A., Walker, M., Ibrahim, I. M., Jayapaul, M., Carman, D., Ryan, C., Short, K., Mcgrady, Y., Richardson, D., Beck-Nielsen, H., Staehr, P., Vestergaard, V., Olsen, C., Hansen, L., Bolli, G. B., Porcellati, F., Fanelli, C., Lucidi, P., 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., Waldhausl, W., Roden, M., Dekker, J. M., Mari, A., Gaffney, P., Boran, G., Kok, A., Patel, S., Gastaldelli, A., Ciociaro, D., Guillanneuf, M. T., Mhamdi, L., Mota, L., Pacini, G., Cavaggion, C., Hills, S. A., Landucci, L., Internal medicine, Dermatology, Epidemiology and Data Science, CCA - Immuno-pathogenesis, EMGO - Lifestyle, overweight and diabetes, and General practice

Subjects
Pathology, medicine.medical_specialty, business.industry, Endocrinology, Diabetes and Metabolism, Carotid arteries, Carotid remodeling, Hemodynamics, Stroke volume, medicine.disease, Obesity, Obesity, Carotid remodeling, Ultrasound, Blood pressure, Diabetes mellitus, Ultrasound, Internal Medicine, medicine, cardiovascular system, Cardiac and Cardiovascular Systems, Original Article, cardiovascular diseases, Metabolic syndrome, business, Body mass index
Abstract

Background/Objective: The present study tested the hypothesis that obesity-related changes in carotid intima-media thickness (IMT) might represent not only preclinical atherosclerosis but an adaptive remodeling meant to preserve circumferential wall stress (CWS) in altered hemodynamic conditions characterized by body size-dependent increase in stroke volume (SV) and blood pressure (BP). Subjects/Methods: Common carotid artery (CCA) luminal diameter (LD), IMT and CWS were measured in three different populations in order to study: (A) cross-sectional associations between SV, BP, anthropometric parameters and CCA LD (266 healthy subjects with wide range of body weight (24–159 kg)); (B) longitudinal associations between CCA LD and 3-year IMT progression rate (ΔIMT; 571 healthy non-obese subjects without increased cardiovascular (CV) risk); (C) the impact of obesity on CCA geometry and CWS (88 obese subjects without CV complications and 88 non-obese subjects matched for gender and age). Results: CCA LD was independently associated with SV that was determined by body size. In the longitudinal study, baseline LD was an independent determinant of ΔIMT, and ΔIMT of subjects in the highest LD quartile was significantly higher (28±3 μm) as compared with those in the lower quartiles (8±3, 16±4 and 16±3 μm, P=0.001, PP=0.01, respectively). In addition, CCA CWS decreased during the observational period in the highest LD quartile (from 54.2±8.6 to 51.6±7.4 kPa, PPP=0.05) due to a significant increase in IMT (P=0.005 after adjustment for confounders). Conclusions: Our findings suggest that in obese subjects, the CCA wall thickens to compensate the luminal enlargement caused by body size-induced increase in SV, and therefore, to normalize the wall stress. CCA diameter in obesity could represent an additional biomarker, depicting the impact of altered hemodynamics on arterial wall.

Published
2015

28. Research update for articles published in EJCI in 2008

Author

Anderwald, C., Ankersmit, H. J., Badaoui, A., Beneduce, L., Buko, V. U., Calo, L. A., Carrero, J. J., Chang, C. Y., Chang, K. C., Chen, Y. J., Cnotliwy, M., Costelli, Paola, Crujeiras, A. B., Cuocolo, A., Davis, P. A., de Boer, O. J., Ebenbichler, C. F., Erridge, C., Fassina, G., Felix, S. B., García Gómez, M. C., Guerrero Romero, F., Haider, D. G., Heinemann, A., Herda, L. R., Hoogeveen, E. K., Hörl, W. H., Iglseder, B., Huang, K. C., Kaser, S., Kastrati, A., Kuzniatsova, N., Latella, G., Lichtenauer, M., Lin, Y. K., Lip, G. Y., N. H., Lu, Lukivskaya, O., Luschnig, P., Maniscalco, M., Martinez, J. A., Müller Krebs, S., Ndrepepa, G., Nicolaou, G., Peck Radosavljevic, M., Penna, Fabio, Pintó, X., Reiberger, T., Rodriguez Moran, M., Schmidt, A., Schwenger, V., Spinelli, L., Starkel, P., Stehouwer, C. D., Stenvinkel, P., Strasser, P., Suzuki, H., Tschoner, A., van der Wal, A. C., Vesely, D. L., Wen, C. J., Wiernicki, I., Zanninelli, G., Zhu, Y., Interne Geneeskunde, MUMC+: MA Interne Geneeskunde (3), RS: CARIM School for Cardiovascular Diseases, Anderwald, C, Ankersmit, Hj, Badaoui, A, Beneduce, L, Buko, Vu, Calo, La, Carrero, Jj, Chang, C, Chang, K, Chen, Y, Cnotliwy, M, Costelli, P, Crujeiras, Ab, Cuocolo, Alberto, Davis, Pa, De Boer, Oj, Ebenbichler, Cf, Erridge, C, Fassina, G, Felix, Sb, García Gómez, Mc, Guerrero Romero, F, Haider, Dg, Heinemann, A, Herda, Lr, Hoogeveen, Ek, Hörl, Wh, Iglseder, B, Huang, K, Kaser, S, Kastrati, A, Kuzniatsova, N, Latella, G, Lichtenauer, M, Lin, Y, Lip, Gyh, Lu, N, Lukivskaya, O, Luschnig, P, Maniscalco, M, Martinez, Ja, Müller Krebs, S, Ndrepepa, G, Nicolaou, G, Peck Radosavljevic, M, Penna, F, Pintó, X, Reiberger, T, Rodriguez Moran, M, Schmidt, A, Schwenger, V, Spinelli, Letizia, Starkel, P, Stehouwer, Cda, Stenvinkel, P, Strasser, P, Suzuki, H, Tschoner, A, Van Der Wal, Ac, Vesely, Dl, Wen, C, Wiernicki, I, Zanninelli, G, and Zhu, Y.

Abstract

Eur J Clin Invest 2010; 40 (9): 770-789.

Published
2010

31. Pancreatic Fat is Associated with Metabolic Syndrome and Visceral Adipose Tissue but not Beta-Cell Function or Body Mass Index in Paediatric Obesity

Author

Staaf, Johan, Labmayr, V., Paulmichl, K., Ohlsson, H., Cen, Jing, Ciba, Iris, Dahlbom, Marie, Roomp, K., Anderwald, C-H, Ladinger, A., Schneider, R., Forslund, Anders, Widhalm, K., Bergquist, Jonas, Ahlström, Håkan, Bergsten, Peter, Weghuber, D., Kullberg, Joel, Staaf, Johan, Labmayr, V., Paulmichl, K., Ohlsson, H., Cen, Jing, Ciba, Iris, Dahlbom, Marie, Roomp, K., Anderwald, C-H, Ladinger, A., Schneider, R., Forslund, Anders, Widhalm, K., Bergquist, Jonas, Ahlström, Håkan, Bergsten, Peter, Weghuber, D., and Kullberg, Joel

Abstract

Meeting Abstract: OP01

Published
2015

32. Influence of Apolipoproteins on the Association Between Lipids and Insulin Sensitivity: A cross-sectional analysis of the RISC Study

Author

Baldi, S., Bonnet, F., Laville, M., Morgantini, C., Monti, L., Hojlund, K., Ferrannini, E., Natali, A., Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, 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, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, 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, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, Filippo, Saturni, A, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, 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, Gaffney, P, Boran, G, Baldi, S, Balkau, B, Mhamdi, L, Mari, A, Landucci, L, Hills, S, Mota, L, Pacini, G, Cavaggion, C, Tura, A, Hills, Sa, Dekker, Jm, and Walker, M.

Published
2013

34. From metabolic normality to cardiometabolic risk factors in subjects with obesity

Author

Elisabetta Bobbioni Harsch, Zoltan, Pataky, Vincent, Makoundou, Martine, Laville, Emmanuel, Disse, Christian, Anderwald, Thomas, Konrad, Alain, Golay, Heine, Rj, Dekker, J, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Harsch Bobbioni, E, Pataky, Z, Petrie, Jr, 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, Khadobaksh, P, Laville, M, Bonnet, F, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Serusclat, A, Gabriel, R, Sánchez, Em, 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, Short, K, Mcgrady, Y, Richardson, D, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, 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, Dekker, Jm, Mari, A, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Pacini, G, Cavaggion, C, Hills, Sa, Landucci, L, and Mota, L.

Subjects
Adult, Male, medicine.medical_specialty, Obesity, cardiometabolic risk factors, Carotid Artery, Common, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), Blood Pressure, Overweight, Carotid Intima-Media Thickness, Body Mass Index, Impaired glucose tolerance, Young Adult, Endocrinology, Insulin resistance, Reference Values, Risk Factors, Internal medicine, Glucose Intolerance, medicine, Humans, Obesity, ddc:613, Nutrition and Dietetics, business.industry, Body Weight, Fasting, Middle Aged, medicine.disease, Impaired fasting glucose, Blood pressure, Cardiovascular Diseases, lipids (amino acids, peptides, and proteins), Female, medicine.symptom, Insulin Resistance, business, Lipoproteins, HDL, Body mass index, Weight gain
Abstract

The aim of the study was to evaluate the 3 years incidence of cardiometabolic risk factors, such as impaired fasting glucose, reduced high-density lipoprotein (HDL)-cholesterol, increased plasma triglycerides or blood pressure as well as impaired glucose tolerance in overweight or obese (ow/ob) and normal body weight (nbw) subjects metabolically normal at baseline. Subjects from the Relationship between Insulin Sensitivity and Cardiovascular Disease (RISC) study were analyzed. We analyzed 284 nbw and 152 ow/ob subjects who, at baseline, did not show any of the above-mentioned cardiometabolic risk factors. At 3 years, these parameters were re-evaluated. Intima-media thickness (IMT) of the common carotid artery (CCA) was echographically measured. At follow-up, the incidence of one or more cardiometabolic risk factors was 57.2% in ow/ob vs. 31.7% in nbw (P < 0.0001). After adjustment for age, sex, menopause status, lifestyle parameters, insulin sensitivity, and fasting insulinemia, BMI remained significantly linked to the development of one or more cardiometabolic risk factors (P = 0.02). An increased BMI at follow-up was significantly associated with the development of cardiometabolic alterations, in both nbw and ow/ob groups (P = 0.04). Ow/ob subjects who, at 3 years follow-up, remained metabolically normal, showed a less favourable cardiometabolic profile, when compared to nbw counterparts. In ow/ob metabolically normal males and females, intima-media of the common carotid at follow-up was thicker than in nbw (P = 0.03 for males, P = 0.04 for females). In conclusion, metabolically normal obese subjects show a higher incidence of cardiometabolic risk factors, in a short follow-up period. Weight gain is significantly associated with the development of these factors, in both nbw and ow/ob subjects.

Published
2012

35. Alterations in gastrointestinal, endocrine, and metabolic processes after bariatric surgery

Author

Anderwald, C., Tura, A., Promintzer-Schifferl, M., Prager, G., Stadler, M., Ludvik, B., Esterbauer, H., Bischof, M.G., Luger, A., Pacini, G., and Krebs, M.

Abstract

OBJECTIVEdObesity leads to severe long-term complications and reduced life expectancy. Roux-en-Y gastric bypass (RYGB) surgery induces excessive and continuous weight loss in (morbid) obesity, although it causes several abnormal anatomical and physiological conditions. RESEARCH DESIGNANDMETHODSdTo distinctively unveil effects of RYGB surgery on b-cell function and glucose turnover in skeletal muscle, liver, and gut, nondiabetic, morbidly obese patients were studied before (pre-OP, five female/one male, BMI: 49 6 3 kg/m2, 43 6 2 years of age) and 7 6 1 months after (post-OP, BMI: 37 6 3 kg/m2) RYGB surgery, compared with matching obese (CONob, five female/one male, BMI: 34 6 1 kg/m2, 48 6 3 years of age) and lean controls (CONlean, five female/one male, BMI: 22 6 0 kg/m2, 42 6 2 years of age). Oral glucose tolerance tests (OGTTs), hyperinsulinemic-isoglycemic clamp tests, and mechanistic mathematical modeling allowed determination of whole-body insulin sensitivity (M/I), OGTT and clamp test b-cell function, and gastrointestinal glucose absorption. RESULTSdPost-OP lost (P , 0.0001) 35 6 3 kg body weight. M/I increased after RYGB, becoming comparable to CONob, but remaining markedly lower than CONlean (P , 0.05). M/I tightly correlated (t = 20.611, P , 0.0001) with fat mass. During OGTT, post-OP showed $15%reduced plasma glucose from120 to 180 min (#4.5mmol/L), and 29-fold elevated active glucagon-like peptide-1 (GLP-1) dynamic areas under the curve, which tightly correlated (r = 0.837, P , 0.001) with 84% increased b-cell secretion. Insulinogenic index (0-30 min) in post- OP was $29% greater (P , 0.04). At fasting, post-OP showed approximately halved insulin secretion (P,0.05 vs. pre-OP). Insulin-stimulated insulin secretion in post-OP was 52%higher than before surgery, but 1-2 pmol/min2 lower than in CONob/CONlean (P , 0.05). Gastrointestinal glucose absorption was comparable in pre-OP and post-OP, but 9-26%lower from 40 to 90 min in post-OP than in CONob/CONlean (P , 0.04). CONCLUSIONSdRYGB surgery leads to decreased plasma glucose concentrations in the third OGTT hour and exaggerated b-cell function, for which increased GLP-1 release seems responsible, whereas gastrointestinal glucose absorption remains unchanged but lower than in matching controls.

Published
2012
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36. Fatty liver index, gamma-glutamyltransferase, and early carotid plaques

Author

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

Subjects
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)

Published
2012

37. Plasma sCD36 is associated with markers of atherosclerosis, insulin resistance and fatty liver in a nondiabetic healthy population

Author

Handberg, A, Højlund, K, Gastaldelli, A, Flyvbjerg, A, Dekker, Jm, Petrie, J, Piatti, P, Beck Nielsen, H, Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Eh, Barthassat, V, Makoundou, V, Merminod, T, Petrie, Jr, 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, 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, Em, 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, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, Mingrone, G, Guidone, C, Favuzzi, A, Dirocco, 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, Kok, A, Patel, S, Ciociaro, D, Mhamdi, L, Landucci, L, Hills, S, Mota, L, Pacini, G, Cavaggion, C, Hills, Sa, and Mota, L.

Subjects
Adult, CD36 Antigens, Male, Enzyme-Linked Immunosorbent Assay, Middle Aged, Atherosclerosis, Body Mass Index, Cohort Studies, Europe, Fatty Liver, Cross-Sectional Studies, Predictive Value of Tests, Diabetes Mellitus, Humans, Female, Prospective Studies, Insulin Resistance, Algorithms, Biomarkers
Abstract

Insulin resistance is associated with increased CD36 expression in a number of tissues. Moreover, excess macrophage CD36 may initiate atherosclerotic lesions. The aim of this study was to determine whether plasma soluble CD36 (sCD36) was associated with insulin resistance, fatty liver and carotid atherosclerosis in nondiabetic subjects.In 1296 healthy subjects without diabetes or hypertension recruited from 19 centres in 14 European countries (RISC study), we determined the levels of sCD36, adiponectin, lipids and liver enzymes, insulin sensitivity (M/I) by euglycaemic-hyperinsulinaemic clamp, carotid atherosclerosis as intima-media thickness (IMT) and two estimates of fatty liver, the fatty liver index (FLI) and liver fat percentage (LF%).IMT, FLI, LF%, presence of the metabolic syndrome, impaired glucose regulation, insulin and triglycerides increased across sCD36 quartiles (Q2-Q4), whereas adiponectin and M/I decreased (P ≤ 0.01). sCD36 was lower in women than in men (P = 0.045). Log sCD36 showed a bimodal distribution, and amongst subjects with sCD36 within the log-normal distribution (log-normal population, n = 1029), sCD36 was increased in subjects with impaired glucose regulation (P = 0.045), metabolic syndrome (P = 0.006) or increased likelihood of fatty liver (P0.001). sCD36 correlated significantly with insulin, triglycerides, M/I and FLI (P0.05) after adjustment for study centre, gender, age, glucose tolerance status, smoking habits and alcohol consumption. In the log-normal population, these relationships were stronger than in the total study population and, additionally, sCD36 was significantly associated with LF% and IMT (P0.05).In this cross-sectional study of nondiabetic subjects, sCD36 was significantly associated with indices of insulin resistance, carotid atherosclerosis and fatty liver. Prospective studies are needed to further evaluate the role of sCD36 in the inter-relationship between atherosclerosis, fatty liver and insulin resistance.

Published
2011

38. Natural history and physiological determinants of changes in glucose tolerance in a non-diabetic population: the RISC Study

Author

Ferrannini, E, Natali, A, Muscelli, E, Nilsson, Pm, Golay, A, Laakso, M, Beck Nielsen, H, Mari, A, Dekker, Jm, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, Perry, C, Neary, F, Macdougall, C, Shields, K, Malcolm, L, 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, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, 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, Tura, A, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, 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, and Balkau, B.

Published
2011

39. A novel surrogate index for hepatic insulin resistance

Author

Vangipurapu, J, Stančáková, A, Kuulasmaa, T, Paananen, J, Kuusisto, J, EGIR RISC Study Group, Ferrannini, E, Laakso, M, Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, Perry, C, Neary, F, Macdougall, C, Shields, K, Malcolm, L, 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, Brac de la Perrier, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, Carraro, R, Friera, A, Novella, B, Nilsson, P, Persson, M, Ostling, 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, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, 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, Dekker, Jm, Mari, A, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Landucci, L, Pacini, G, Cavaggion, C, Hills, Sa, and Mota

Published
2011

40. Influence of Hyperinsulinemia and Insulin Resistance on In Vivo beta-Cell Function Their Role in Human beta-Cell Dysfunction

Author

Mari, A, Tura, A, Natali, Andrea, Anderwald, C, Balkau, B, Lalic, N, Walker, M, and Ferrannini, Eleuterio

Subjects
SECRETION, GLUCOSE, TESTS, MEAL
Abstract

OBJECTIVE-Recent work has shown that insulin stimulates its own secretion in insulin-sensitive humans, suggesting that insulin resistance in the beta-cell could cause beta-cell dysfunction. We have tested whether insulin exposure and insulin sensitivity modulate beta-cell function in subjects with normal glucose tolerance (NGT) and whether they contribute to dysglycemia in impaired glucose regulation (IGR).

Published
2011

41. Liver enzymes are associated with hepatic insulin resistance, insulin secretion, and glucagon concentration in healthy men and women

Author

Bonnet, F, Ducluzeau, Ph, Gastaldelli, A, Laville, M, Anderwald, Ch, Konrad, T, Mari, A, Balkau, B, Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Böhles, H, Fuellert, S, Ber, F, Zuchhold, H, Golay, A, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, 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, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, 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, Beck Nielsen, H, Stehr, P, Hojlund, K, Olsen, C, Hansen, L, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, 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, Dekker, Jm, Petrie, J, Gaffney, P, Boran, G, Kok, A, Patel, S, Ciociaro, D, Flyvbjerg, A, Guillanneuf, Mt, Mhamdi, L, Landucci, L, Hills, S, Mota, L, Pacini, G, Cavaggion, C, Tura, A, Hills, Sa, and Mot

Published
2011

43. Body weight, not insulin sensitivity or secretion, may predict spontaneous weight changes in nondiabetic and prediabetic subjects: the RISC study

Author

Rebelos, E, Muscelli, E, Natali, A, Balkau, B, Mingrone, G, Piatti, P, Konrad, T, Mari, A, Ferrannini, E, Dekker, Jm, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, 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, Böhles, H, Fuellert, S, Baer, F, Zuchhold, H, Golay, A, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, 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, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sánchez, Em, 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, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Tura, A, Bolli, Geremia Brunetto, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Pinnola, S, Kozakova, M, Casolaro, A, Astiarraga, Bd, 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, and Balkau

Published
2011

45. Research update for articles published in EJCI in 2008

Author

Anderwald, C, Ankersmit, HJ, Badaoui, A, Beneduce, L, Buko, VU, Calo, LA, Carrero, JJ, Chang, CY, Chang, KC, Chen, YJ, Cnotliwy, M, Costelli, P, Crujeiras, AB, Cuocolo, A, Davis, PA, de Boer, OJ, Ebenbichler, CF, Erridge, C, Fassina, G, Felix, SB, and Garcia

Published
2010

46. Effect of sedentary behaviour and vigorous physical activity on segment-specific carotid wall thickness and its progression in a healthy population

Author

Kozàkovà, M, Palombo, C, Morizzo, C, Nolan, Jj, Konrad, T, Balkau, B, Heine, Rj, Dekker, J, de Rooij, S, Nijpels, G, Boorsma, W, Mitrakou, A, Tournis, S, Kyriakopoulou, K, Thomakos, P, Lalic, N, Lalic, K, Jotic, A, Lukic, L, Civcic, M, Yeow, Tp, Murphy, M, Delong, C, Neary, G, Colgan, Mp, Hatunic, M, Böhles, H, Fuellert, S, Baer, F, Zuchhold, H, Golay, A, Harsch Bobbioni, E, Barthassat, V, Makoundou, V, Lehmann, Tn, Merminod, T, Petrie, Jr, 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, Brac de la Perriere, A, Louche Pelissier, C, Maitrepierre, C, Peyrat, J, Beltran, S, Serusclat, A, Gabriel, R, Sanchez, Em, Carraro, R, Friera, A, Novella, B, Nilsson, P, Persson, M, Ostling, 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, Beck Nielsen, H, Staehr, P, Hojlund, K, Vestergaard, V, Olsen, C, Hansen, L, Bolli, Gb, Porcellati, Francesca, Fanelli, Carmine Giuseppe, Lucidi, Paola, Calcinaro, F, Saturni, A, Ferrannini, E, Natali, A, Muscelli, E, Pinnola, S, Kozakova, M, Mingrone, G, Guidone, C, Favuzzi, A, Di Rocco, P, Anderwald, C, Bischof, M, Promintzer, M, Krebs, M, Mandl, M, Hofer, A, Luger, A, Waldhausl, W, Roden, M, Dekker, Jm, Mari, A, Gaffney, P, Boran, G, Kok, A, Patel, S, Gastaldelli, A, Ciociaro, D, Guillanneuf, Mt, Mhamdi, L, Mota, L, Pacini, G, Cavaggion, C, Hills, Sa, Landucci, L, and Mota, L.

Published
2010

50. Adipokines in type-1 diabetes after successful pancreas transplantation: Normal visfatin and retinol-binding-protein-4, but increased total adiponectin fasting concentrations

Author

Stadler M, Storka A, Theuer EA, Krebs M, Vojtassakova E, Nowotny P, Pacini G, Kastenbauer T, Luger A, Prager R, Wolzt M, and Anderwald C

Subjects
endocrine system diseases, nutritional and metabolic diseases
Abstract

SUMMARY Objective In type-1 diabetes mellitus (T1DM), the release of many hormones, not only from beta-cells, but also from adipocytes (adipokines) may be altered. After successful pancreas-kidney-transplantation (PKTx), T1DM patients can revert to a non-diabetic metabolism, but it is unclear whether alterations of adipokines are still present after PKTx. Design, patients and measurements Concentrations of adipokines [visfatin, retinol-binding protein-4 (RBP-4), adiponectin, high-molecular-weight (HMW) adiponectin] were measured at fasting in 10 PKTx and in 19 T1DM. Non diabetic healthy controls (CON, n=9) and 6 non-diabetic patients after kidney transplantation (KTx) were examined as control groups. In PKTx, KTx and CON, indices of insulin sensitivity (OGIS) and beta-cell function (Adaptation Index) were calculated from 75g-oral glucose-tolerance-test (OGTT) data. Results Fasting serum visfatin (T1DM: 56+/-4mug/L, PKTx: 42+/-6mug/L, KTx: 39+/-3mug/L, CON: 40+/-3 mug/L) and RBP-4 (T1DM: 490+/-26mug/L, PKTx: 346+/-39mug/L, KTx: 401+/-13mug/L, CON: 359+/-36mug/L) were increased by 40% and 36% respectively (each p

Published
2010

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