{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T04:19:14Z","timestamp":1771042754678,"version":"3.50.1"},"reference-count":18,"publisher":"American Physiological Society","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["American Journal of Physiology-Endocrinology and Metabolism"],"published-print":{"date-parts":[[2015,7,15]]},"abstract":"<jats:p> Recently, a model was proposed to assess hepatic insulin sensitivity during a meal, i.e., the ability of insulin to suppress glucose production (EGP), S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup>. The model was developed on EGP data obtained from a triple-tracer meal and the tracer-to-tracee clamp technique and validated against the euglycemic hyperinsulinemic clamp. The aim of this study was to assess whether S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup> can be obtained from plasma concentrations measured after a single-tracer meal by incorporating the above EGP model into the oral glucose minimal model by describing both glucose production and disposal (OMM<jats:sup>PD<\/jats:sup>). Triple-tracer meal data of two databases (20 healthy and 60 healthy and prediabetic subjects) were used. Virtually model-independent EGP estimates were calculated. OMM<jats:sup>PD<\/jats:sup> was identified on exogenous and endogenous glucose concentrations, providing indices of S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup>, disposal insulin sensitivity (S<jats:sub>I<\/jats:sub><jats:sup>D<\/jats:sup>), and EGP. The model fitted the data well, and S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup> and S<jats:sub>I<\/jats:sub><jats:sup>D<\/jats:sup> were estimated with precision in both databases (S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup> = 5.48 \u00b1 0.54 10<jats:sup>\u22124<\/jats:sup> dl\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup> per \u03bcU\/ml and S<jats:sub>I<\/jats:sub><jats:sup>D<\/jats:sup> = 9.93 \u00b1 2.18 10<jats:sup>\u22124<\/jats:sup> dl\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup> per \u03bcU\/ml in healthy; S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup> = 5.41 \u00b1 3.55 10<jats:sup>\u22124<\/jats:sup> dl\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup> per \u03bcU\/ml and S<jats:sub>I<\/jats:sub><jats:sup>D<\/jats:sup> = 5.34 \u00b1 6.17 10<jats:sup>\u22124<\/jats:sup> dl\u00b7kg<jats:sup>\u22121<\/jats:sup>\u00b7min<jats:sup>\u22121<\/jats:sup> per \u03bcU\/ml, in healthy and prediabetic subjects). Estimated S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup> and that derived from the triple-tracer EGP model were very similar on average. Moreover, the time course of EGP normalized to basal EGP (EGP<jats:sub>b<\/jats:sub>), and EGP\/EGP<jats:sub>b<\/jats:sub> agreed with the results obtained using the triple-tracer method. In this study, we have demonstrated that S<jats:sub>I<\/jats:sub><jats:sup>P<\/jats:sup>, S<jats:sub>I<\/jats:sub><jats:sup>D<\/jats:sup>, and EGP\/EGP<jats:sub>b<\/jats:sub> time course can be estimated reliably from a single-tracer meal protocol in both healthy and prediabetic subjects. <\/jats:p>","DOI":"10.1152\/ajpendo.00358.2014","type":"journal-article","created":{"date-parts":[[2015,5,19]],"date-time":"2015-05-19T23:36:20Z","timestamp":1432078580000},"page":"E161-E167","source":"Crossref","is-referenced-by-count":22,"title":["Hepatic insulin sensitivity in healthy and prediabetic subjects: from a dual- to a single-tracer oral minimal model"],"prefix":"10.1152","volume":"309","author":[{"given":"Roberto","family":"Visentin","sequence":"first","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy; and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chiara","family":"Dalla Man","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy; and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rita","family":"Basu","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ananda","family":"Basu","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert A.","family":"Rizza","sequence":"additional","affiliation":[{"name":"Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minnesota"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"Cobelli","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, University of Padua, Padua, Italy; and"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"24","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.2337\/dc06-1519"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/S0026-0495(98)90064-6"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.2337\/dc08-1826"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.2337\/db05-1692"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00190.2001"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.2337\/db06-0319"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.1999.276.6.E1171"},{"key":"B8","volume-title":"Introduction to Modeling in Physiology and Medicine","author":"Cobelli C","year":"2008"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.2337\/db13-1198"},{"key":"B10","volume-title":"Tracer Kinetics in Biomedical Research: From Data to Model","author":"Cobelli C","year":"2000"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.2337\/diabetes.54.11.3265"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00299.2004"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00482.2012"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00486.2007"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1152\/ajpendo.00076.2005"},{"key":"B16","first-page":"E214","volume":"237","author":"DeFronzo RA","year":"1979","journal-title":"Am J Physiol Endocrinol Metab Gastrointest Physiol"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1172\/JCI112467"},{"key":"B18","first-page":"E84","volume":"234","author":"Radziuk J","year":"1978","journal-title":"Am J Physiol Endocrinol Metab Gastrointest Physiol"}],"container-title":["American Journal of Physiology-Endocrinology and Metabolism"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.physiology.org\/doi\/pdf\/10.1152\/ajpendo.00358.2014","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T17:28:00Z","timestamp":1567963680000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.physiology.org\/doi\/10.1152\/ajpendo.00358.2014"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,15]]},"references-count":18,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,7,15]]}},"alternative-id":["10.1152\/ajpendo.00358.2014"],"URL":"https:\/\/doi.org\/10.1152\/ajpendo.00358.2014","relation":{},"ISSN":["0193-1849","1522-1555"],"issn-type":[{"value":"0193-1849","type":"print"},{"value":"1522-1555","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,15]]}}}