| dc.creator | Chaim E.A. | |
| dc.creator | Gobato R.C. | |
| dc.date | 2012 | |
| dc.date | 2015-06-26T20:30:31Z | |
| dc.date | 2015-11-26T14:31:06Z | |
| dc.date | 2015-06-26T20:30:31Z | |
| dc.date | 2015-11-26T14:31:06Z | |
| dc.date.accessioned | 2018-03-28T21:34:28Z | |
| dc.date.available | 2018-03-28T21:34:28Z | |
| dc.identifier | | |
| dc.identifier | International Journal Of General Medicine. , v. 5, n. , p. 449 - 454, 2012. | |
| dc.identifier | 11787074 | |
| dc.identifier | 10.2147/IJGM.S31433 | |
| dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-84877147338&partnerID=40&md5=395965152b200732911d3f07d55fda94 | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/97368 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/97368 | |
| dc.identifier | 2-s2.0-84877147338 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1247286 | |
| dc.description | Background: Approximately 27% of Americans today are obese, and this condition increases the prevalence of metabolic syndrome and diabetes. The UK Prospective Diabetes Study suggests that loss of beta cell function can begin at least 10 years before diagnosis, and mean beta cell function is already less than 50% at diagnosis. The aim of this research was to assess the possibility of detecting loss of beta cell function in obese patients by a novel approach involving nitric oxide assessment using a combination of technologies. Materials and methods: One hundred and fifteen obese patients (93 women, 22 men) of mean age 39 (range 17-62) years, who were candidates for bariatric surgery were included in the study, and underwent laboratory tests, including fasting blood glucose, fasting insulin plasma, and examination with the Electro Sensor complex. The Electro Sensor complex offers a new way to assess nitric oxide production using five technologies managed by software, ie, the galvanic skin response, photoelectrical plethysmography, heart rate variability analysis, bioimpedance analysis, and blood pressure oscillometric measurements. The homeostasis model assessment 2% beta cell function (HOMA2% β) algorithm was calculated from fasting blood glucose and fasting insulin plasma using free software provided by The University of Oxford Diabetes Trial Unit. The Electro Sensor complex percent beta (ESC% β) algorithm was calculated from the Electro Sensor complex data and statistical neural network. Statistical analysis was performed to correlate ESC% β and HOMA2% β using the coefficient of correlation and Spearman's coefficient of rank correlation. Receiver-operating characteristic curves were also constructed to determine the specificity and sensitivity of ESC% β in detecting a HOMA2% β value < 100. Results: The coefficient of correlation between ESC% β and HOMA2% β was 0.72 (using log values) and the Spearman's coefficient of rank correlation (rho) was 0.799 (P < 0.0001). ESC% β had a sensitivity of 77.14% and specificity of 78.21% (cutoff ≤ 157, corresponding to 40% after conversion into a 0%-100% scale) to detect a HOMA2% β value < 100 (P < 0.0001). Conclusion: The ESC% β algorithm has a high predictive correlation with HOMA2% β, and good specificity and sensitivity to detect a HOMA2% β value < 100. Therefore, the Electro Sensor complex enabling nitric oxide assessment represents a novel method of screening for beta cell function in the obese population on a large scale. Such a tool, which is easy to administer, noninvasive, and cost-effective, would be of great benefit for widespread screening of beta cell function in obese patients. © 2012 Chaim and Gobato, publisher and licensee Dove Medical Press Ltd. | |
| dc.description | 5 | |
| dc.description | | |
| dc.description | 449 | |
| dc.description | 454 | |
| dc.description | Lewis, J.E., Schneiderman, N., Nutrition, physical activity, weight management, and health (2006) Rev Colomb Psiquiatr., 35, pp. 157S. , Spanish | |
| dc.description | Flegal, K.M., Carroll, M.D., Ogden, C.L., Johnson, C.L., Prevalence and trends in obesity among US adults, 1999-2000 (2002) JAMA., 288, pp. 1723-1727 | |
| dc.description | Mokdad, A.H., Bowman, B.A., Ford, E.S., Vinicor, F., Marks, J.S., Koplan, J.P., The continuing epidemics of obesity and diabetes in the United States (2001) JAMA., 286, pp. 1195-2001 | |
| dc.description | Ford, E.S., Giles, W.H., Dietz, W.H., Prevalence of the metabolic syndrome among US adults: Findings from the third National Health and Nutrition Examination Survey (2002) JAMA., 287, pp. 356-359 | |
| dc.description | Ford, E.S., Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the US (2005) Diabetes Care., 28, pp. 2745-2749 | |
| dc.description | (1999) Definition, diagnosis and classification of diabetes mellitus and its complications, , World Health Organization, Department of Noncommunicable Disease Surveillance. Geneva, Switzerland: World Health Organization;. Available from: whqlibdoc. who. int/hq/1999/ who_ncd_ncs_99.2. pdf. Accessed April 19, 2012 | |
| dc.description | Kahn, S.E., The relative contributions of insulin resistance and beta-cell dysfunction to the pathophysiology of type 2 diabetes (2003) Diabetologia., 46 (1), pp. 3-19 | |
| dc.description | Holman, R.R., Assessing the potential for alpha-glucosidase inhibitors in prediabetic states (1998) Diabetes Res Clin Pract., 40 (SUPPL.), pp. S21-S25 | |
| dc.description | Overview of 6 years' therapy of type II diabetes: A progressive disease (UKPDS 16) (1995) Diabetes., 44, pp. 1249-1258. , UK Prospective Diabetes Study Group | |
| dc.description | Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) (1998) Lancet., 352, pp. 837-853. , UK Prospective Diabetes Study Group | |
| dc.description | Chiu, K.C., Lee, N.P., Cohan, P., Chuang, L.-M., B-cell function declines with age in glucose tolerant Caucasians (2000) Clin Endocrinol., 53, pp. 569-575 | |
| dc.description | Screening for type 2 diabetes (2003) Diabetes Care., 26, pp. S21-S24. , American Diabetes Association | |
| dc.description | Bergman, R.N., Finegood, D.T., Kahn, S.E., The evolution of beta-cell dysfunction and insulin resistance in type 2 diabetes (2002) Eur J Clin Invest., 32 (SUPPL. 3), pp. 35-45 | |
| dc.description | Picardi, A., Visalli, N., Lauria, A., Metabolic factors affecting residual beta cell function assessed by C-peptide secretion in patients with newly diagnosed type 1 diabetes (2006) Horm Metab Res., 38, pp. 668-672 | |
| dc.description | Matthews, D.R., Hosker, J.P., Rudenski, A.S., Naylor, B.A., Treacher, D.F., Turner, R.C., Home-ostasis model assessment: Insulin resistance and T-cell function from fasting glucose and insulin concentrations in man (1985) Diabetologia., 28, pp. 412-419 | |
| dc.description | Caumo, A., Perseghin, G., Lattuada, G., Ragogna, F., Livio Luzi, A.B., Comparing the original (HOMA1) and the updated (HOMA2) method: Evidence that HOMA2 is more reliable than HOMA (1595) 67th Scientific Sessions of the American Diabetes Association, , Abstract-P presented at the, June 22-26, 2007, Chicago, IL | |
| dc.description | Wallace, T.M., Levy, J.C., Matthews, D.R., Use and abuse of HOMA modeling (2004) Diabetes Care., 27, pp. 1487-1495 | |
| dc.description | Chang, A.M., Smith, M.J., Bloem, C.J., Galecki, A.T., Halter, J.B., Supiano, M.A., Limitation of the homeostasis model assessment to predict insulin resistance and r-cell dysfunction in older people (2006) J Clin Endocrinol Metab, 91, pp. 629-634 | |
| dc.description | Lewis, J.E., Tannenbaum, S.L., Gao, J., Comparing the accuracy of ES-BC, EIS and ES Oxi results versus the recognized standardized assessments (2011) Medical Devices: Evidence and Research, 4, pp. 169-177 | |
| dc.description | Soucy, K.G., Ryoo, S., Benjo, A., Impaired shear stress-induced nitric oxide production through decreased NOS phosphorylation contributes to age-related vascular stiffness (2006) J Appl Physiol., 101, pp. 1751-1759 | |
| dc.description | Petrofsky, J., Hinds, C.M., Batt, J., Prowse, M., Suh, H.J., The interrelationships between electrical stimulation, the environment surrounding the vascular endothelial cells of the skin, and the role of nitric oxide in mediating the blood flow response to electrical stimulation (2007) Med Sci Monit., 13, pp. CR1-CR7 | |
| dc.description | Vallance, P., Chan, N., Endothelial function and nitric oxide: Clinical relevance (2001) Heart., 85, pp. 342-350 | |
| dc.description | Williams, L., Wheatcroft, B., Shah, A.M., Kearney, M.T., Obesity, atherosclerosis and the vascular endothelium: Mechanisms of reduced nitric oxide bioavailability in obese humans (2002) Int J Obes., 26, pp. 754-764 | |
| dc.description | Sartori, C., Lepori, M., Scherrer, U., Interaction between nitric oxide and the cholinergic and sympathetic nervous system in cardiovascular control in humans (2005) Pharmacol Ther., 106, pp. 209-220 | |
| dc.description | Zeng, G., Quon, M.J., Insulin-stimulated production of nitric oxide is inhibited by wortmannin. Direct measurement in vascular endothelial cells (1996) J Clin Invest., 98, pp. 894-898 | |
| dc.description | (2012) Statistica automated neural networks, , http://www.statsoft.com/textbook/neuralnetworks/, StatSoft Electronic Statistics Textbook, Available from, Accessed April 19 | |
| dc.description | Mayaudon, H., Miloche, P.O., Bauduceau, B., A new simple method for assessing sudomotor function: Relevance in type 2 diabetes (2010) Diabetes Metab, 36 (SUPPL. 3), pp. S106-S111 | |
| dc.description | Ramachandran, A., Moses, A., Shetty, S., A new non-invasive technology to screen for dysglycaemia including diabetes (2010) Diabetes Res Clin Pract., 88, pp. 302-306 | |
| dc.description | Nazhel, B., Yetkin, I., Irkeç, C., Koçer, B., Sympathetic skin response in diabetic neuropathy (2002) Electromyogr Clin Neurophysiol., 42, pp. 181-185 | |
| dc.description | Salomaa, V., Riley, W., Kark, J.D., Nardo, C., Folsom, A.R., Non-insulindependent diabetes mellitus and fasting glucose and insulin concentrations are associated with arterial stiffness indexes (1995) Circulation., 91, pp. 1432-1443 | |
| dc.description | Schroeder, E.B., Chambless, L.E., Liao, D., Diabetes, glucose, insulin, and heart rate variability (2005) Diabetes Care., 28, pp. 668-674 | |
| dc.description | Ferrannini, E., Camastra, S., Gastaldelli, A., Beta-cell function in obesity: Effects of weight loss (2004) Diabetes., 53 (SUPPL. 3), pp. S26-S33 | |
| dc.description | Davies, M.J., Raymond, N.T., Day, J.L., Hales, C.N., Burden, A.C., Impaired glucose tolerance and fasting hyperglycaemia have different characteristics (2000) Diabet Med., 17, pp. 433-440 | |
| dc.description | Naseem, K.M., The role of nitric oxide in cardiovascular diseases (2005) Mol Aspects Med., 26, pp. 33-65 | |
| dc.description | Palm, F., Teerlink, T., Hansell, P., Nitric oxide and kidney oxygenation (2009) Curr Opin Nephrol Hypertens., 18, pp. 68-73 | |
| dc.language | en | |
| dc.publisher | | |
| dc.relation | International Journal of General Medicine | |
| dc.rights | aberto | |
| dc.source | Scopus | |
| dc.title | New Approach To Beta Cell Function Screening By Nitric Oxide Assessment Of Obese Individuals At The Population Level | |
| dc.type | Artículos de revistas | |
