PMID- 24009656 OWN - NLM STAT- MEDLINE DCOM- 20140416 LR - 20211021 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 8 IP - 8 DP - 2013 TI - Routine OGTT: a robust model including incretin effect for precise identification of insulin sensitivity and secretion in a single individual. PG - e70875 LID - 10.1371/journal.pone.0070875 [doi] LID - e70875 AB - In order to provide a method for precise identification of insulin sensitivity from clinical Oral Glucose Tolerance Test (OGTT) observations, a relatively simple mathematical model (Simple Interdependent glucose/insulin MOdel SIMO) for the OGTT, which coherently incorporates commonly accepted physiological assumptions (incretin effect and saturating glucose-driven insulin secretion) has been developed. OGTT data from 78 patients in five different glucose tolerance groups were analyzed: normal glucose tolerance (NGT), impaired glucose tolerance (IGT), impaired fasting glucose (IFG), IFG+IGT, and Type 2 Diabetes Mellitus (T2DM). A comparison with the 2011 Salinari (COntinuos GI tract MOdel, COMO) and the 2002 Dalla Man (Dalla Man MOdel, DMMO) models was made with particular attention to insulin sensitivity indices ISCOMO, ISDMMO and kxgi (the insulin sensitivity index for SIMO). ANOVA on kxgi values across groups resulted significant overall (P<0.001), and post-hoc comparisons highlighted the presence of three different groups: NGT (8.62x10(-5)+/-9.36x10(-5) min(-1)pM(-1)), IFG (5.30x10(-5)+/-5.18x10(-5)) and combined IGT, IFG+IGT and T2DM (2.09x10(-5)+/-1.95x10(-5), 2.38x10(-5)+/-2.28x10(-5) and 2.38x10(-5)+/-2.09x10(-5) respectively). No significance was obtained when comparing ISCOMO or ISDMMO across groups. Moreover, kxgi presented the lowest sample average coefficient of variation over the five groups (25.43%), with average CVs for ISCOMO and ISDMMO of 70.32% and 57.75% respectively; kxgi also presented the strongest correlations with all considered empirical measures of insulin sensitivity. While COMO and DMMO appear over-parameterized for fitting single-subject clinical OGTT data, SIMO provides a robust, precise, physiologically plausible estimate of insulin sensitivity, with which habitual empirical insulin sensitivity indices correlate well. The kxgi index, reflecting insulin secretion dependency on glycemia, also significantly differentiates clinically diverse subject groups. The SIMO model may therefore be of value for the quantification of glucose homeostasis from clinical OGTT data. FAU - De Gaetano, Andrea AU - De Gaetano A AD - Institute of System Analysis and Informatics (IASI) A. Ruberti, National Research Council (CNR), Rome, Italy. FAU - Panunzi, Simona AU - Panunzi S FAU - Matone, Alice AU - Matone A FAU - Samson, Adeline AU - Samson A FAU - Vrbikova, Jana AU - Vrbikova J FAU - Bendlova, Bela AU - Bendlova B FAU - Pacini, Giovanni AU - Pacini G LA - eng PT - Journal Article DEP - 20130829 PL - United States TA - PLoS One JT - PloS one JID - 101285081 RN - 0 (Incretins) RN - 0 (Insulin) RN - IY9XDZ35W2 (Glucose) SB - IM MH - Adult MH - Algorithms MH - Female MH - Glucose/metabolism MH - Glucose Intolerance MH - *Glucose Tolerance Test/methods/standards MH - Homeostasis/drug effects MH - Humans MH - Incretins/pharmacology MH - Insulin/metabolism MH - Insulin Resistance MH - Insulin Secretion MH - Internet MH - Liver/metabolism MH - Male MH - Middle Aged MH - *Models, Theoretical MH - Reproducibility of Results MH - Sensitivity and Specificity MH - Software MH - Young Adult PMC - PMC3756988 COIS- Competing Interests: The authors have declared that no competing interests exist. EDAT- 2013/09/07 06:00 MHDA- 2014/04/17 06:00 PMCR- 2013/08/29 CRDT- 2013/09/07 06:00 PHST- 2013/01/17 00:00 [received] PHST- 2013/06/25 00:00 [accepted] PHST- 2013/09/07 06:00 [entrez] PHST- 2013/09/07 06:00 [pubmed] PHST- 2014/04/17 06:00 [medline] PHST- 2013/08/29 00:00 [pmc-release] AID - PONE-D-13-03127 [pii] AID - 10.1371/journal.pone.0070875 [doi] PST - epublish SO - PLoS One. 2013 Aug 29;8(8):e70875. doi: 10.1371/journal.pone.0070875. eCollection 2013.