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Assessment of methods and indexes of insulin sensitivity
Métodos de avaliação e índices de sensibilidade à insulina
Rita S. Patarrãoa,
Corresponding author
rita.patarrao@fcm.unl.pt

Corresponding author.
, Wilford Wayne Lauttb, Maria Paula Macedoc,d
a CEDOC, Área de Ensino e Investigação de Medicina Celular e Molecular, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
b Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba R3E OW3, Canada
c CEDOC, Departamento de Fisiologia, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
d APDP-ERC Portuguese Diabetes Association Education and Research Center, Rua do Salitre, 118-120, 1250-203 Lisbon, Portugal
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          "en" => "<p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">&#40;A&#41; Mean profile using the dynamic analysis of the pattern of glucose infusion during the Rapid Insulin Sensitivity Test &#40;RIST&#41;&#46; The mean RIST curves were obtained by averaging glucose infusion rates at 0&#46;1-min intervals throughout the test &#40;Postprandial RIST &#40;bold line&#41; and the RIST obtained after 24<span class="elsevierStyleHsp" style=""></span>h-fast &#40;simple line&#41;&#41;&#46; &#40;B&#41; Calculation of the area under the curve during the 24 h-fast and postprandial RIST&#44; that corresponds to the total amount of glucose infused to maintain euglycemia over the test period&#44; which is terminated when no further glucose infusion is required &#40;RIST index&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">56</span></a></p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Measurements of insulin sensitivity provide clinicians and researchers with excellent instruments to objectively evaluate the efficiency of both current and potentially useful interventional tools&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">It is of great importance to develop tools for quantifying insulin sensitivity&#47;resistance in humans&#44; which may be used to appropriately investigate the epidemiology&#44; pathophysiologic mechanisms&#44; outcomes of therapeutic interventions&#44; and clinical course of patients with insulin resistance&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Methods of insulin sensitivity&#47;resistance assessment</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Hyperinsulinemic Euglycemic Glucose Clamp</span><p id="par0015" class="elsevierStylePara elsevierViewall">The Hyperinsulinemic Euglycemic Clamp &#40;HIEC&#41;&#44; originally developed by DeFronzo&#44; is widely accepted as the &#8220;gold standard&#8221; for directly determining metabolic insulin sensitivity in humans&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> After an overnight fast&#44; insulin is infused intravenously at a constant rate that may range from 5 to 120<span class="elsevierStyleHsp" style=""></span>mU&#47;m<span class="elsevierStyleSup">2</span>&#47;min &#40;dose per body surface area per minute&#44; during 180<span class="elsevierStyleHsp" style=""></span>min&#41;&#46; This constant insulin infusion results in a new steady-state insulin level that is above the fasting level &#40;hyperinsulinemic&#41;&#46; Consequently&#44; glucose disposal in skeletal muscle and adipose tissue is increased while hepatic glucose production &#40;HGP&#41; is suppressed&#46; Under these conditions&#44; a glucose analyzer is used to frequently monitor blood glucose levels at 5&#8211;10<span class="elsevierStyleHsp" style=""></span>min intervals&#44; while 20&#37; dextrose is given intravenously at a variable rate in order to &#8220;clamp&#8221; blood glucose concentrations in the normal range &#40;euglycemic&#41;&#46; After several hours of constant insulin infusion&#44; steady-state conditions are typically achieved for plasma insulin&#44; blood glucose&#44; and the glucose infusion rate &#40;GIR&#41;&#46; Assuming that the hyperinsulinemic state is sufficient to completely suppress HGP&#44; and since there is no net change in blood glucose concentrations under steady-state clamp conditions&#44; the GIR must be equal to the glucose disposal rate &#40;<span class="elsevierStyleItalic">M</span>&#41;&#46; Thus&#44; whole body glucose disposal at a given level of hyperinsulinemia can be directly determined&#46; <span class="elsevierStyleItalic">M</span> is typically normalized to body weight or fat-free mass to generate an estimate of insulin sensitivity&#46; Alternatively&#44; an insulin sensitivity index &#40;<span class="elsevierStyleItalic">SI</span>&#41; derived from clamp data can be defined as SIClamp&#61;MG&#215;&#916;I&#44; where <span class="elsevierStyleItalic">M</span> is normalized for <span class="elsevierStyleItalic">G</span> &#40;steady-state blood glucose concentration&#41; and &#916;<span class="elsevierStyleItalic">I</span> &#40;difference between fasting and steady-state plasma insulin concentrations&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">The validity of glucose clamp measurements of insulin sensitivity depends on achieving steady-state conditions&#46; &#8220;Steady-state&#8221; is often defined as a period greater than 30<span class="elsevierStyleHsp" style=""></span>min &#40;at least 1<span class="elsevierStyleHsp" style=""></span>h after initiation of insulin infusion&#41; during which the coefficients of variation for blood glucose&#44; plasma insulin&#44; and GIR are less than 5&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a> It is possible to use a radiolabeled glucose tracer under clamp conditions to estimate hepatic glucose production&#44; so that appropriate corrections can be made to <span class="elsevierStyleItalic">M</span> in the event HGP is not completely suppressed&#46;<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3&#8211;5</span></a> An alternative approach is to use an insulin infusion rate sufficiently high to completely suppress HGP according to the insulin sensitivity&#47;resistance of the population to be studied&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">M</span> is routinely obtained at only a single insulin infusion rate&#44; and therefore comparisons between <span class="elsevierStyleItalic">M</span> or <span class="elsevierStyleItalic">SI</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">Clamp</span></span> among different subjects is valid only if the same insulin infusion rate is used for all subjects&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">The principal advantage of the glucose clamp in humans is that it directly measures whole body glucose disposal at a given level of insulinemia under steady-state conditions&#46; Conceptually&#44; the approach is straightforward but there is a limited number of assumptions that are clearly defined&#46; In research settings where assessing insulin sensitivity&#47;resistance is of primary interest and feasibility is not an issue&#44; it is appropriate to use the glucose clamp technique&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">The main limitations of the HIEC approach are that it is time-consuming&#44; labor intensive&#44; expensive&#44; and requires an experienced operator to manage technical difficulties&#46; Another limitation is that the clamp utilizes steady-state insulin levels that may be supraphysiological&#46; This results in a reversal of the normal portal to peripheral insulin gradient&#46; Thus&#44; the glucose clamp may not accurately reflect insulin action and glucose dynamics under physiological conditions that a dynamic test&#44; such as&#44; an oral meal or oral glucose load may determine&#46; Further&#44; in the HIEC insulin sensitivity is measured only under a steady-state condition&#44; and therefore&#44; the test does not realistically portray dynamic conditions such as those occurring after normal meals&#46; Because HIEC is dependent on steady-state conditions&#44; insulin infusion is continuous for &#8776;3<span class="elsevierStyleHsp" style=""></span>h&#44; and the subjects are in the fasted state&#46; The results of the HIEC may be limited by these restraints&#44; because insulin release is pulsatile&#44;<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6&#8211;8</span></a> and insulin action is sensitized in the postprandial state&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> Nevertheless&#44; it should be remembered that the HIEC measures insulin-stimulated glucose disposal only at insulin levels in the upper physiological range&#59; information on the effects of insulin on glucose uptake and production in the basal condition&#44; which is physiologically very important&#44; is not provided &#40;unless tracers are used&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Insulin Tolerance Test</span><p id="par0040" class="elsevierStylePara elsevierViewall">The Insulin Tolerance Test &#40;ITT&#41; was one of the first methods developed to assess insulin sensitivity <span class="elsevierStyleItalic">in vivo</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> In this method&#44; a fixed bolus of regular insulin &#40;0&#46;1<span class="elsevierStyleHsp" style=""></span>IU&#47;kg bw&#41; is given iv after an 8&#8211;10<span class="elsevierStyleHsp" style=""></span>h fast&#46; Blood samples are collected at 15 and 5<span class="elsevierStyleHsp" style=""></span>min before and 3&#44; 6&#44; 9&#44; 12&#44; 15&#44; 20 and 30<span class="elsevierStyleHsp" style=""></span>min after insulin injection&#44; and the plasma glucose decrement is then measured&#46; Glucose is injected at 30<span class="elsevierStyleHsp" style=""></span>min to stop the fall in plasma glucose&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12&#44;13</span></a> The faster the decline in glucose concentration&#44; the more insulin sensitive the subject is&#46; The slope of the linear decline in plasma glucose &#40;<span class="elsevierStyleItalic">K</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">ITT</span></span>&#41; can be calculated by dividing 0&#46;693 by the plasma glucose half-time &#40;50&#37; from baseline&#41;&#58;<elsevierMultimedia ident="eq0005"></elsevierMultimedia>where <span class="elsevierStyleItalic">t</span><span class="elsevierStyleInf">1&#47;2</span> represents the half-life of plasma glucose decrease&#44; and is calculated from the slope of least square analysis of the plasma glucose concentrations from 3 to 15<span class="elsevierStyleHsp" style=""></span>min after iv insulin injection&#44; when the plasma glucose concentration declined linearly&#46; Normal <span class="elsevierStyleItalic">K</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">ITT</span></span> is &#62;2&#46;0&#37;&#47;min and values &#60;1&#46;5&#37;&#47;min are considered abnormal&#46; This method gives an indirect estimate of overall insulin sensitivity&#46;</p><p id="par0045" class="elsevierStylePara elsevierViewall">The advantages of the ITT include its simplicity&#44; rapidity and the use of a bolus injection of insulin&#46; The bolus injection of insulin mimics the physiological pulsatile release of insulin&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> Furthermore&#44; because glucose tolerance after a meal is dependent on insulin sensitivity&#44; measuring insulin sensitivity in the prandial state is physiologically relevant&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Some of the drawbacks of this method include the supraphysiological insulin dose used&#44; and also the fact that the test does not differentiate peripheral <span class="elsevierStyleItalic">vs</span> hepatic insulin resistance&#46;<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> Another major limitation of this test is the risk of hypoglycemia&#46; Hypoglycemia triggers hormonal responses&#44; which may interfere with insulin sensitivity and in turn slows the disappearance rate of glucose from plasma&#46;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> In this view&#44; the fall in plasma glucose concentration would be a function of the interplay between insulin&#44; on the one hand&#44; and glucagon&#44; catecholamines&#44; growth hormone and cortisol&#44; on the other&#46; Given that&#44; the counterregulatory response occurs only 15&#8211;20<span class="elsevierStyleHsp" style=""></span>min after insulin injection&#46; The glucose fall occurring in the first 15<span class="elsevierStyleHsp" style=""></span>min after iv insulin administration is probably a function of insulin-stimulated glucose uptake by tissues as well as insulin ability to suppress glucose output by the liver&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p><p id="par0055" class="elsevierStylePara elsevierViewall">A lower insulin dose method of 0&#46;05<span class="elsevierStyleMonospace">Y</span>IU&#47;kg bw&#44; or shortening the test to 15<span class="elsevierStyleHsp" style=""></span>min was suggested as an attempt to decrease the risk of hypoglycemia&#46;<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14&#44;17</span></a> The shorter version<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12&#44;16</span></a> derived from the notion that the counterregulatory hormone response occurs only after 20<span class="elsevierStyleHsp" style=""></span>min of the insulin infusion&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">The ITT has been shown to correlate with the HIEC in several studies&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12&#44;16</span></a> However&#44; arterialization of blood is essential in the ITT&#44; as data from standard venous blood measurements showed no significant relationship with HIEC-derived glucose disposal&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">In conclusion&#44; the ITT should be used with great caution in insulin sensitive individuals because of the increased risk of hypoglycemia&#44; even when the smaller dose version of the test is used&#46; The shorter ITT is a valid test in large-scale studies&#44; especially when the site of resistance is not of importance&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Insulin Suppression Test</span><p id="par0070" class="elsevierStylePara elsevierViewall">The insulin-suppression test &#40;IST&#41;&#44; another method that directly measures metabolic insulin sensitivity&#47;resistance&#44; was introduced by Shen et al&#46; in 1970 and subsequently modified by Harano et al&#46;<a class="elsevierStyleCrossRefs" href="#bib0095"><span class="elsevierStyleSup">19&#44;20</span></a> After an overnight fast&#44; somatostatin &#40;250<span class="elsevierStyleHsp" style=""></span>&#956;g&#47;h&#41; or the somatostatin analog octreotide &#40;25<span class="elsevierStyleHsp" style=""></span>&#956;g bolus&#44; followed by 0&#46;5<span class="elsevierStyleHsp" style=""></span>&#956;g&#47;min&#41;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> is intravenously infused&#44; to suppress endogenous secretion of insulin and glucagon&#46; Simultaneously&#44; insulin &#40;25<span class="elsevierStyleHsp" style=""></span>mU&#47;m<span class="elsevierStyleSup">2</span>&#47;min&#41; and glucose &#40;240<span class="elsevierStyleHsp" style=""></span>mg&#47;m<span class="elsevierStyleSup">2</span>&#47;min&#41; are intravenously infused over 3<span class="elsevierStyleHsp" style=""></span>h&#46; Blood samples for glucose and insulin determinations are taken every 30<span class="elsevierStyleHsp" style=""></span>min for 2&#46;5<span class="elsevierStyleHsp" style=""></span>h&#44; and then at 10<span class="elsevierStyleHsp" style=""></span>min intervals from 150 to 180<span class="elsevierStyleHsp" style=""></span>min of the IST&#46; The constant infusions of insulin and glucose determine steady-state plasma insulin &#40;SSPI&#41; and glucose &#40;SSPG&#41; concentrations&#46; The steady-state period is assumed to be from 150 to 180<span class="elsevierStyleHsp" style=""></span>min after initiation of the IST&#46; SSPI concentrations are generally similar among subjects&#46; Therefore&#44; the SSPG concentration will be higher in insulin resistant subjects and lower in insulin sensitive subjects&#44; <span class="elsevierStyleItalic">i&#46;e&#46;</span>&#44; SSPG values are inversely related to insulin sensitivity&#46; The IST provides a direct measure &#40;through SSPG&#41; of the ability of exogenous insulin to mediate disposal of an iv glucose load&#44; under steady-state conditions&#44; where endogenous insulin secretion is suppressed&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">The SSPG is a highly reproducible direct measure of metabolic actions of insulin&#44; that is&#44; less labor intensive and less technically demanding than HIEC&#46; Indeed&#44; since there are no variable infusions with the IST&#44; steady-state conditions are more easily achieved with the IST than with HIEC&#46; In research settings&#44; the IST can be used for larger populations that may pose difficulties for application of HIEC&#46; ELIMINAR esta frase&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">Many of the limitations of the IST are similar to those described for HIEC &#40;with the exception that the IST is less technically demanding&#41;&#46; Thus&#44; it is impractical to apply the IST in large epidemiological studies or in the clinical care setting&#46; SSPG under ideal conditions determines primarily skeletal muscle insulin sensitivity&#44; and is not designed to reflect hepatic insulin sensitivity&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Continuous infusion of glucose with model assessment</span><p id="par0085" class="elsevierStylePara elsevierViewall">The continuous infusion of glucose with model assessment &#40;CIGMA&#41; is a procedure that assesses insulin sensitivity through the evaluation of the near steady-state glucose and insulin concentrations after a continuous infusion of glucose&#44; with model assessment&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a> This method mimics postprandial glucose and insulin concentrations&#46; CIGMA not only provides information about glucose tolerance and insulin sensitivity&#44; but also about &#946;-cell function&#46; Using a mathematic model of glucose homeostasis&#44; glucose and insulin values are compared with known physiologic data of glucose&#44; and insulin kinetics in response to glucose infusion&#44; which are derived from healthy lean subjects with no family history of diabetes&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">The glucose and insulin values used for CIGMA are obtained during the last 15<span class="elsevierStyleHsp" style=""></span>min of the 60<span class="elsevierStyleHsp" style=""></span>min continuous glucose infusion &#40;5<span class="elsevierStyleHsp" style=""></span>mg glucose&#47;kg bw&#47;min&#41;&#46; Samples are collected at 5<span class="elsevierStyleHsp" style=""></span>min intervals and the average is then compared with predicted values from the computer model&#46; The median value for normal subjects is 1&#46;35&#44; and for diabetic patients with mild hyperglycemia is 4&#46;0&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">23</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">There are two main advantages of CIGMA over Homeostasis Model Assessment &#40;HOMA&#41;&#46; First&#44; the insulin values that are measured in CIGMA are much higher than those in HOMA owing to the glucose stimulus and second&#44; higher insulin concentration in CIGMA stimulates peripheral glucose uptake producing a steady-state glucose concentration&#44; which is a better reflection of the peripheral insulin sensitivity&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">Although CIGMA is more practical&#44; cheaper and less invasive than the frequently sampled intravenous glucose tolerance test &#40;FSIVGTT&#41; and HIEC procedure&#44; the model incorrectly assumes that levels of insulin resistance at the liver and peripheral tissues are equal&#46; Furthermore&#44; in insulin-deficient subjects&#44; where the insulin response is insufficient to stimulate glucose uptake&#44; the interpretation of CIGMA is difficult&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Minimal model analysis of frequently sampled intravenous glucose tolerance test</span><p id="par0105" class="elsevierStylePara elsevierViewall">The minimal model&#44; developed by Bergman&#44; Cobelli and colleagues in 1979&#44; provides an indirect measure of metabolic insulin sensitivity&#47;resistance based on glucose and insulin data obtained during a frequently sampled intravenous glucose tolerance test &#40;FSIVGTT&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a> After an overnight fast&#44; an intravenous bolus of glucose &#40;0&#46;3<span class="elsevierStyleHsp" style=""></span>g&#47;kg bw&#41; is infused over 2<span class="elsevierStyleHsp" style=""></span>min starting at time 0&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Currently&#44; a modified FSIVGTT is used&#44; where exogenous insulin &#40;4<span class="elsevierStyleHsp" style=""></span>mU&#47;kg&#47;min&#41; is also infused over 5<span class="elsevierStyleHsp" style=""></span>min beginning 20<span class="elsevierStyleHsp" style=""></span>min after the iv glucose bolus&#46;<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">25&#44;26</span></a> Some studies use tolbutamide &#40;a potassium channel blocker&#41; instead of insulin in the modified FSIVGTT&#44; to stimulate endogenous insulin secretion&#46;<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">27&#44;28</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">Blood samples are taken for plasma glucose and insulin measurements at different time points&#44; before and 180<span class="elsevierStyleHsp" style=""></span>min after glucose infusion&#46; The data obtained are then subjected to minimal model analysis using the computer program MINMOD &#40;minimal model approach &#8211; MINMOD&#41;&#44; to generate an index of insulin sensitivity &#40;<span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span>&#41;&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">The MINMOD is defined by two coupled differential equations with four model parameters &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a>&#41;&#46; The first equation describes plasma glucose dynamics in a single compartment&#46; The second equation describes insulin dynamics in a &#8220;remote compartment&#8221;&#46; The structure of the MINMOD allows it to uniquely identify model parameters&#44; which determine a best fit to glucose disappearance during the modified FSIVGTT&#46; <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span> is calculated from two of these model parameters&#44; and is defined as fractional glucose disappearance <span class="elsevierStyleItalic">per</span> insulin concentration unit&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a></p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">In addition to <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span>&#44; other minimal model parameters may be used to estimate a &#8220;glucose effectiveness&#8221; index &#40;<span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">G</span></span>&#41;&#46; <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">G</span></span> is defined as the ability of glucose <span class="elsevierStyleItalic">per se</span> to promote its own disposal and inhibit hepatic glucose production &#40;HGP&#41; in the absence of an incremental insulin effect &#40;<span class="elsevierStyleItalic">i&#46;e&#46;</span>&#44; when insulin is at basal levels&#41;&#46;<elsevierMultimedia ident="eq0010"></elsevierMultimedia><elsevierMultimedia ident="eq0015"></elsevierMultimedia></p><p id="par0130" class="elsevierStylePara elsevierViewall">Minimal model analysis of the modified FSIVGTT is easier than HIEC method because it is slightly less labor intensive&#44; steady-state conditions are not required&#44; and there are no iv infusions that require constant adjustment&#46; Unlike HIEC or IST&#44; information about insulin sensitivity&#44; glucose effectiveness&#44; and &#946;-cell function can be derived from a single dynamic test&#46; The minimal model generates excellent predictions of glucose disappearance during the FSIVGTT&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">In research settings&#44; where assessing insulin sensitivity along with glucose effectiveness and &#946;-cell function is of interest&#44; minimal model analysis of the insulin-modified FSIVGTT may be appropriate&#46; The minimal model approach is simpler than direct methods for determining insulin sensitivity&#46; Nevertheless&#44; it still involves iv infusions with multiple blood sampling over a 3<span class="elsevierStyleHsp" style=""></span>h period&#44; that is&#44; nearly as labor intensive as the HIEC or IST&#46; In addition&#44; many limitations of minimal model analysis stem from the fact that the model oversimplifies the physiology of glucose homeostasis&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">Another oversimplification of the minimal model involves lumping together effects of insulin to promote peripheral glucose utilization and suppress HGP&#46; As insulin sensitivity&#47;resistance varies&#44; the relative contribution of HGP to S<span class="elsevierStyleInf">I</span> may vary significantly&#46; Since the minimal model relies on a dynamic test to evaluate insulin sensitivity&#44; estimates of <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span> are much less reliable in individuals with impaired insulin secretion and&#47;or significant insulin resistance &#40;when compared with healthy subjects&#41;&#46; Under these conditions&#44; the minimal model may overestimate <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">G</span></span> to accurately predict the disappearance of glucose during the FSIVGTT&#46; Indeed&#44; estimates of <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">G</span></span> are spuriously affected by differences in insulin secretory capacity&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">26&#44;30</span></a> Moreover&#44; for similar reasons&#44; minimal model analysis often generates senseless negative values for <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span> in a substantial proportion of subjects with diabetes&#44; who have minimal insulin secretory capacity and significant insulin resistance&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;30</span></a> These nonsystematic errors inherent in the minimal model approach are highlighted by calibration model analysis&#44; demonstrating that some simple surrogate indexes of insulin sensitivity have better absolute accuracy for predicting <span class="elsevierStyleItalic">SI</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">Clamp</span></span> than the minimal model-derived <span class="elsevierStyleItalic">S</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">I</span></span>&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a></p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Oral Glucose Tolerance Test</span><p id="par0145" class="elsevierStylePara elsevierViewall">The Oral Glucose Tolerance Test &#40;OGTT&#41; is a simple test&#44; widely used in clinical practice to diagnose glucose intolerance and type 2 diabetes&#46;<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18&#44;32&#44;33</span></a> After an overnight fast&#44; blood samples for determinations of glucose and insulin concentrations are taken at 0&#44; 30&#44; 60&#44; and 120<span class="elsevierStyleHsp" style=""></span>min following a standard oral glucose load &#40;75<span class="elsevierStyleHsp" style=""></span>g&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> A diagnosis of diabetes is conferred if an individual has a plasma glucose level &#8805;200<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;11<span class="elsevierStyleMonospace">Y</span>mmol&#47;l&#41; as measured 2<span class="elsevierStyleHsp" style=""></span>h after the ingestion of a 75<span class="elsevierStyleHsp" style=""></span>g glucose load&#46; If an individual has a value in the range of 140&#8211;199<span class="elsevierStyleHsp" style=""></span>mg&#47;dl &#40;7&#46;7&#8211;11<span class="elsevierStyleMonospace">Y</span>mmol&#47;l&#41; 2<span class="elsevierStyleHsp" style=""></span>h post-glucose load&#44; it is designated as having impaired glucose tolerance&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> Oral glucose tolerance reflects the efficiency with which the body handles glucose after an oral glucose load&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The OGTT mimics the glucose and insulin dynamics of physiological conditions more closely than conditions of the HIEC&#44; IST or frequently sample intravenous glucose tolerance test &#40;FSIVGTT&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> However&#44; it is important to recognize that glucose tolerance and insulin sensitivity are not equivalent concepts&#46; In addition to metabolic actions of insulin&#44; insulin secretion&#44; incretin effects&#44; and other factors contribute importantly to glucose tolerance&#46; Thus&#44; the OGTT&#44; by itself&#44; provides useful information about glucose tolerance but not insulin sensitivity&#47;resistance <span class="elsevierStyleItalic">per se</span>&#46;<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">35&#44;36</span></a> During the OGTT&#44; the use of a glucose tracer and both insulin and C-peptide plasma measurements at specific time points&#44; allows the calculation of glucose clearance&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">The OGTT is technically quite simple to perform and certainly lower in cost than HIEC or FSIVGTT&#46; These considerations have made the OGTT the glucose challenge test of choice in clinical situations&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">37</span></a> However&#44; there are some problems with the OGTT that make it less desirable for use in research situations&#46; First&#44; there is variability in the rate of gastric emptying and glucose absorption from the gastrointestinal tract&#44; causing some imprecision from the start&#46; This variability can partially account for poorly reproducible results even within the same individual&#46;<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">38</span></a> Second&#44; glucose measurements in the standard OGTT do not give adequate information regarding the dynamics of glucose and insulin action&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">The OGTT is a relatively crude measure of glucose tolerance&#46; It does not measure the components of insulin sensitivity and insulin secretion&#46; In light of this limitation&#44; attempts have been made to obtain indices from OGTT data that might better reflect &#946;-cell function and insulin sensitivity&#46;<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">39&#44;40</span></a></p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Meal Tolerance Test</span><p id="par0165" class="elsevierStylePara elsevierViewall">In an attempt to study the ability to regulate blood glucose in a more physiological situation than the OGTT&#44; some authors measure the glycemic profile in response to the ingestion of a mixed meal containing carbohydrates&#44; fat and proteins&#59; the Meal Tolerance Test &#40;MTT&#41;&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">The experimental procedure for the MTT is similar to the OGTT&#44; that is&#44; after an overnight fast &#40;10&#8211;12<span class="elsevierStyleHsp" style=""></span>h&#41;&#44; a mixed meal &#40;liquid or solid&#41; is given and the glycemic profile is measured throughout 2<span class="elsevierStyleHsp" style=""></span>h&#59; usually the insulin profile is also determined during the same period of time&#46;<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">34&#44;36</span></a></p><p id="par0175" class="elsevierStylePara elsevierViewall">The MTT is a &#8220;physiologic&#8221; variant of OGTT<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a> offering several advantages&#58; &#40;a&#41; lack of artifactual postload hypoglycemia&#44; thus making this test suitable for the study of postprandial hypoglycemia&#44; a situation which is frequently due to high values of insulin sensitivity&#44; but also to hyperinsulinism in a context of insulin resistance<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">42</span></a>&#59; &#40;b&#41; use of a physiologic stimulus triggering a cephalic phase proportional to palatability scores<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">43</span></a>&#59; &#40;c&#41; possibility to measure insulin sensitivity with a modified algorithm based on the minimal model<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a> as well as glucose effectiveness and insulin secretion&#59; &#40;d&#41; potential for evaluating the physiologic effects of incretins&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a></p><p id="par0180" class="elsevierStylePara elsevierViewall">The MTT can represent a simple procedure&#44; less unpleasant for the patient than the standard OGTT&#44; and providing both a physiologic picture of glucoregulation&#44; and a sophisticated and precise analysis of this glucoregulation&#44; in terms of insulin sensitivity&#44; glucose effectiveness&#44; and insulin secretion&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p><p id="par0185" class="elsevierStylePara elsevierViewall">The &#946;-cell response is stronger after a mixed meal than after an OGTT with equal carbohydrate quantity&#44; both for classical and model-based parameters&#46; The higher response was mostly explained by higher &#946;-cell sensitivity during the meal&#44; which may lead to lower glucose excursions&#46;<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">45</span></a></p><p id="par0190" class="elsevierStylePara elsevierViewall">Several factors may contribute to differences in insulin secretion following an MTT compared with the OGTT&#46; The MTT has a lower glycemic index than the OGTT&#44; which may lead to lower glucose excursions&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">46</span></a> Moreover&#44; slower gastric emptying following the MTT due to larger volume&#44;<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">47</span></a> solid character&#44;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">48</span></a> and fat content<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">49</span></a> will lead to a slower entry of nutrients into the circulation&#46;</p><p id="par0195" class="elsevierStylePara elsevierViewall">The MTT might be considered as an additional tool for the assessment of metabolic abnormalities&#44; in glucose-intolerant and insulin-resistant states&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a></p><p id="par0200" class="elsevierStylePara elsevierViewall">Thus&#44; the MTT is a more physiological test than the OGTT&#44; in regard to human diet&#44; and is potentially able to give useful information concerning islet &#946;-cell function in the different categories of glucose intolerance&#44;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">50</span></a> but not insulin sensitivity&#47;resistance <span class="elsevierStyleItalic">per se</span>&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">36</span></a></p><p id="par0205" class="elsevierStylePara elsevierViewall">As any other method that measures glucose tolerance&#44; the MTT does not assess insulin sensitivity directly and may not be repeated in the same subject or animal on the same day&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Rapid Insulin Sensitivity Test</span><p id="par0210" class="elsevierStylePara elsevierViewall">A new method for insulin sensitivity quantification&#44; called the Rapid Insulin Sensitivity Test &#40;RIST&#41;&#44; was described and evaluated for use in rats&#44;<a class="elsevierStyleCrossRefs" href="#bib0255"><span class="elsevierStyleSup">51&#44;52</span></a> cats<a class="elsevierStyleCrossRefs" href="#bib0265"><span class="elsevierStyleSup">53&#44;54</span></a> mice<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">55</span></a> and humans&#46;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">56</span></a> The standard dynamic profile for the RIST in fed and fasted humans as well as the RIST insulin sensitivity index is shown in <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a>&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia><p id="par0215" class="elsevierStylePara elsevierViewall">The RIST is an euglycemic test and is carried out after establishing the glycemic baseline&#44; which is done by taking arterialized venous blood samples at 5<span class="elsevierStyleHsp" style=""></span>min intervals until three consecutive measurements are stable&#46; An insulin infusion is commenced &#40;50<span class="elsevierStyleMonospace">Y</span>mIU&#47;kg administered over 5<span class="elsevierStyleHsp" style=""></span>min&#41; and&#44; after 1<span class="elsevierStyleHsp" style=""></span>min&#44; glucose samples are taken at 2<span class="elsevierStyleHsp" style=""></span>min intervals&#44; and glucose is infused intravenously at a variable rate to maintain euglycemia&#46; The test is completed when no more glucose is required&#46; At the standard test dose of insulin of 50<span class="elsevierStyleMonospace">Y</span>mIU&#47;kg&#44; the RIST in the fasted state is complete within approximately 40<span class="elsevierStyleHsp" style=""></span>min&#46; The RIST index&#44; the insulin sensitivity parameter&#44; is simply the amount of glucose that had to be administered in order to maintain euglycemia after the bolus administration of insulin&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">52</span></a></p><p id="par0220" class="elsevierStylePara elsevierViewall">The majority of the insulin sensitivity tests are done in the fasted state&#44; when insulin sensitivity would be logically anticipated to be at its lowest level&#46; Studies performed by Patarr&#227;o et al&#46; and Lautt et al&#46; indicated that the fasted state results in a very low insulin responsiveness&#46; It is reasonable that insulin sensitivity should be under a regulatory mechanism such that in the fasted state insulin effect would be minimized&#44; and inappropriate release of insulin would not&#44; therefore&#44; lead to life-threatening hypoglycemia&#46; The RIST can be carried out in the fed state&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#44;56</span></a> Furthermore&#44; the RIST allows insulin sensitivity assessment before and after a meal&#44; making it possible to test both meal and drug effects on insulin sensitivity&#46;<a class="elsevierStyleCrossRefs" href="#bib0280"><span class="elsevierStyleSup">56&#44;57</span></a></p><p id="par0225" class="elsevierStylePara elsevierViewall">The RIST is extremely sensitive and can be shown to generate dose-response relationships to insulin&#44; which makes the RIST the most advantageous method in the determination of small differences in insulin sensitivity&#46; This method is able to be carried out more than one time in the same subject with high reproducibility&#44; and is sufficiently versatile to permit paired experimental designs&#44; in the same subjects and on the same day&#46; Both the accuracy and precision of the test can be assessed from determination of the deviation from the ideal euglycemic target&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">52</span></a></p><p id="par0230" class="elsevierStylePara elsevierViewall">Insulin release normally occurs in a pulsatile manner&#44; and hormones released in a pulsatile manner are best studied by pulsatile administration&#46;<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">58</span></a> Based on this assumption&#44; the intravenous insulin bolus administered at the beginning of the RIST mimics the physiological insulin action&#46; It also avoids the vagal withdrawal and sympathetic activation induced by sustained hyperinsulinemia&#44; during the HIEC<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">55&#44;59</span></a> and the hypoglycemia caused by the acute ITT&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">59</span></a> It does not alter levels of counter-regulatory hormones&#44; such as catecholamines&#44; somatostatin or glucagon&#46;<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">54</span></a> Moreover&#44; both insulinemia and glycemia return to basal levels after each RIST&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">One methodological issue relates to the basal glucose concentration determined before and after the RIST&#46; Previous studies demonstrate clearly that there is no mean change in basal blood glucose levels used as the euglycemic target when&#44; for example&#44; compared before and after denervation of the hepatic plexus in rats<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">60</span></a> or atropine&#46;<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">61</span></a> In addition&#44; we have also determined that there is no correlation between the magnitude of the RIST index and basal glucose levels when compared using a large number of data points&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">52</span></a> Of more concern is the importance that glucose uptake or output should not change during the RIST&#46; Whatever stimulus is used&#44; including either ablation or stimulation protocols&#44; the stimulus is administered prior to conducting the RIST&#44; and a new stable glycemic baseline must be demonstrated&#46; In addition&#44; at the conclusion of the RIST index&#44; the re-established baseline must not be significantly altered&#46; In the event that such alteration occurs&#44; it suggests that glucose output either increased or decreased during the test&#46; This is usually obvious by comparing the shape of normal RIST curves with that obtained in the presence of the altered baseline&#46; In such situations&#44; the data must be excluded&#44; and the RIST repeated&#46;</p><p id="par0240" class="elsevierStylePara elsevierViewall">None of the available methods available to estimate insulin sensitivity&#47;resistance proved to be a reliable way to assess insulin sensitivity&#47;resistance since most of them have non-physiological continuous infusion of insulin and&#47;or glucose&#44; which interfere with peripheral insulin sensitivity&#47;resistance&#59; take a long time to be performed&#59; could not avoid counter-regulatory responses to the hypoglycemia that follows an insulin bolus&#59; could not allow the assessment of insulin sensitivity in different conditions in the same subject&#44; and in the same day&#59; and they only evaluate insulin sensitivity&#47;resistance in the fasted state&#46; Based on all of these drawbacks&#44; it was necessary to develop another method for assessing insulin sensitivity&#47;resistance&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">To summarize&#44; the RIST is a quick method to evaluate insulin sensitivity&#44; reproducible in the same subject and on the same day&#44; utilizes a bolus of insulin to mimic pulsatile insulin release&#44; and can be performed in the fed or fasting state&#46; In addition&#44; since the RIST is an euglycemic test&#44; avoids hypoglycemia and prevents the activation of counter-regulatory hormones&#46; The RIST provides a new powerful tool to dissect insulin action in the fasted and fed state&#44; and may provide a means to detect the pre-diabetic state&#44; where early insulin resistance can be detected well before the impairment of the direct effect of insulin at a time when lifestyle interventions can be readily tested&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Simple surrogate indexes for insulin sensitivity&#47;resistance</span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Homeostasis Model Assessment</span><p id="par0250" class="elsevierStylePara elsevierViewall">The Homeostasis Model Assessment &#40;HOMA&#41;&#44; developed in 1985&#44; is a model of interactions between glucose and insulin dynamics&#44; that is then used to predict fasting steady-state glucose and insulin concentrations&#44; for a wide range of possible combinations of insulin resistance and &#946;-cell function&#46;<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">62</span></a> The model assumes a feedback loop between the liver and &#946;-cell<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">62&#44;63</span></a>&#59; and glucose concentrations are regulated by insulin-dependent hepatic glucose production&#44; while insulin levels depend on the pancreatic &#946;-cell response to glucose concentrations&#46; Thus&#44; a diminished response to glucose-stimulated insulin secretion reflects deficient &#946;-cell function&#46; Likewise&#44; insulin resistance is reflected by diminished suppressive effect of insulin on hepatic glucose production&#46;</p><p id="par0255" class="elsevierStylePara elsevierViewall">HOMA model describes this glucose-insulin homeostasis by a set of empirically derived non-linear equations&#46; The model predicts fasting steady-state levels of plasma glucose and insulin for any given combination of pancreatic &#946;-cell function &#40;HOMA&#37;B&#41; and insulin sensitivity &#40;HOMA&#37;S&#41;&#46;</p><p id="par0260" class="elsevierStylePara elsevierViewall">In practical terms&#44; most studies using HOMA employ an approximation described by a simple equation to determine a surrogate index of insulin resistance&#46; This is defined by the product of the fasting glucose and fasting insulin&#44; divided by a constant&#46; The formula for the HOMA model is&#58;<elsevierMultimedia ident="eq0020"></elsevierMultimedia></p><p id="par0265" class="elsevierStylePara elsevierViewall">The denominator of 22&#46;5 is a normalizing factor&#44; <span class="elsevierStyleItalic">i&#46;e&#46;</span>&#44; the product of normal fasting plasma insulin of 5<span class="elsevierStyleHsp" style=""></span>&#956;IU&#47;ml and normal fasting plasma glucose of 4&#46;5<span class="elsevierStyleMonospace">Y</span>mmol&#47;l obtained from an &#8220;ideal and normal&#8221; individual&#46;<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">62</span></a> Therefore&#44; for an individual with normal insulin sensitivity&#44; HOMA<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46; It is important to note that&#44; over wide ranges of insulin sensitivity&#47;resistance&#44; log &#40;HOMA&#41; transforms the skewed distribution of fasting insulin values to determine a much stronger linear correlation with HIEC estimates of insulin sensitivity&#46;<a class="elsevierStyleCrossRef" href="#bib0010"><span class="elsevierStyleSup">2</span></a></p><p id="par0270" class="elsevierStylePara elsevierViewall">HOMA or log &#40;HOMA&#41; is extensively used in large epidemiological studies&#44; prospective clinical trials&#44; and research studies&#46; In research settings where assessing insulin sensitivity&#47;resistance is of secondary interest or feasibility issues preclude the use of direct measures by HIEC&#44; it may be appropriate to use log &#40;HOMA&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">63</span></a></p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Quantitative insulin sensitivity check index</span><p id="par0275" class="elsevierStylePara elsevierViewall">Quantitative insulin sensitivity check index &#40;QUICKI&#41; is an empirically derived mathematical transformation that uses fasting blood glucose and plasma insulin concentrations&#46; It provides a reliable&#44; reproducible&#44; and accurate index of insulin sensitivity with excellent positive predictive power&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;64</span></a> Since fasting insulin levels have a non-normal skewed distribution&#44; log transformation improves its linear correlation with reference standard glucose clamp &#40;<span class="elsevierStyleItalic">SI</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">Clamp</span></span>&#41;&#46; However&#44; as with 1&#47;&#40;fasting insulin&#41; and the glucose&#47;insulin ratio&#44; this correlation is not maintained in diabetic subjects with fasting hyperglycemia and impaired &#946;-cell function that is insufficient to maintain euglycemia&#46; To accommodate these clinically important circumstances where fasting glucose is inappropriately high&#44; insulin is inappropriately low&#44; application of logarithm to both fasting glucose&#44; and fasting insulin provides a reasonable correction such that the linear correlation with <span class="elsevierStyleItalic">SI</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">Clamp</span></span> is maintained&#44; in both diabetic and non-diabetic subjects&#46; The reciprocal of this sum results in further transformation of the data generating an insulin sensitivity index that has a positive correlation with <span class="elsevierStyleItalic">SI</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">Clamp</span></span>&#46; Thus&#44; QUICKI is defined by the following formula&#58;<elsevierMultimedia ident="eq0025"></elsevierMultimedia></p><p id="par0280" class="elsevierStylePara elsevierViewall">QUICKI is among the most thoroughly evaluated and validated surrogate index for insulin sensitivity&#46; As a simple&#44; useful&#44; inexpensive&#44; and minimally invasive surrogate for HIEC-derived measures of insulin sensitivity&#44; QUICKI is appropriate and effective for use in large epidemiological or clinical research studies&#44; to follow changes after therapeutic interventions&#44; and for use in studies where evaluation of insulin sensitivity is not of primary interest&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;65</span></a></p><p id="par0285" class="elsevierStylePara elsevierViewall">QUICKI and HOMA were derived in a completely different conceptual fashion&#46; Nevertheless&#44; these two surrogate indexes are mathematically related&#44; <span class="elsevierStyleItalic">i&#46;e&#46;</span>&#44; QUICKI is proportional to 1&#47;log &#40;HOMA&#41;&#46;</p><p id="par0290" class="elsevierStylePara elsevierViewall">The major advantage of both the QUICKI and HOMA models is that they both require only one blood draw from a fasting patient&#46; They thus do not require extensive technical expertise&#44; and constitute a much lower cost <span class="elsevierStyleItalic">per</span> subject when compared with the HIEC or the FSIVGTT&#44; making the QUICKI and HOMA models much more practical for use in large-scale epidemiologic studies&#44; and for clinical situations&#46;<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">63</span></a></p><p id="par0295" class="elsevierStylePara elsevierViewall">However&#44; the major disadvantage is that both of these methods fail to provide information about the stimulated glucose and insulin systems&#46; Essentially&#44; they provide information only about what is occurring with homeostatic mechanisms in the fasting state&#44; largely reflecting insulin&#39;s effect on hepatic glucose production and not on peripheral glucose uptake&#44; which is the more relevant aspect concerning insulin action&#47;resistance&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Insulin sensitivity indexes</span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Cederholm and Wibell index</span><p id="par0300" class="elsevierStylePara elsevierViewall">The insulin sensitivity index proposed by Cederholm and Wibell represents mainly peripheral insulin sensitivity and muscular glucose uptake&#44; due to the dominant role of peripheral tissues in glucose disposal after an oral glucose load&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p><p id="par0305" class="elsevierStylePara elsevierViewall">The formula for the Cederholm index is&#58;<elsevierMultimedia ident="eq0030"></elsevierMultimedia>where 75&#44;000 &#8211; oral glucose load in an OGTT in mg&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0</span> &#8211; fasting plasma glucose concentration &#40;mmol&#47;l&#41;&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">120</span> &#8211; plasma glucose concentration in the 120th min of OGTT &#40;mmol&#47;l&#41;&#44; 1&#46;15 &#8211; factor transforming whole venous blood glucose to plasma values &#40;not necessary&#44; if glucose concentration is estimated in plasma&#41;&#44; 180 &#8211; conversion factor to transform plasma glucose concentration from mmol&#47;l into mg&#47;dl&#44; 0&#46;19 &#8211; glucose space in liter per kg of body weight&#44; <span class="elsevierStyleItalic">m</span> &#8211; body weight &#40;kg&#41;&#44; 120 &#8211; duration of OGTT &#40;min&#41;&#44; <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma insulin concentration during OGTT &#40;mIU&#47;l&#41; and <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma glucose concentration during OGTT &#40;mmol&#47;l&#41;&#46;</p><p id="par0310" class="elsevierStylePara elsevierViewall">Values found in normal non-obese individuals were reported to be about 79<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>14<span class="elsevierStyleHsp" style=""></span>mg<span class="elsevierStyleHsp" style=""></span>l<span class="elsevierStyleSup">2</span>&#47;mmol&#47;mIU&#47;min&#44; lower in obese individuals&#44; in subjects with impaired glucose tolerance and in patients with type 2 diabetes&#46;<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">40</span></a></p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Gutt et al&#46; index</span><p id="par0315" class="elsevierStylePara elsevierViewall">The ISI<span class="elsevierStyleInf">0&#44;120</span> was adapted from the Cederholm insulin sensitivity index&#44; by omitting the constant terms&#44; and using the plasma glucose and insulin concentration from fasting &#40;0<span class="elsevierStyleHsp" style=""></span>min&#41; and 120<span class="elsevierStyleHsp" style=""></span>min samples from the OGTT&#46;<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">66</span></a></p><p id="par0320" class="elsevierStylePara elsevierViewall">The ISI<span class="elsevierStyleInf">0&#44;120</span> index is defined as&#58;<elsevierMultimedia ident="eq0035"></elsevierMultimedia>where 75&#44;000 &#8211; oral glucose load in an OGTT in mg&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0</span> &#8211; fasting plasma glucose concentration &#40;mg&#47;dl&#41;&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">120</span> &#8211; plasma glucose concentration in the 120th min of OGTT &#40;mg&#47;dl&#41;&#44; 0&#46;19 &#8211; glucose space in l&#47;kg of body weight&#44; m &#8211; body weight &#40;kg&#41;&#44; 120 &#8211; duration of OGTT &#40;min&#41;&#44; <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma insulin concentration during OGTT &#40;mIU&#47;l&#41; and <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma glucose concentration during OGTT &#40;mmol&#47;l&#41;&#46;</p><p id="par0325" class="elsevierStylePara elsevierViewall">The reference range for lean controls was 89<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>39&#44; for obese 58<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>23 and for diabetic patients 23<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>19<span class="elsevierStyleHsp" style=""></span>mg<span class="elsevierStyleHsp" style=""></span>l<span class="elsevierStyleSup">2</span>&#47;mmol&#47;mIU&#47;min&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a></p></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Avignon et al&#46; index</span><p id="par0330" class="elsevierStylePara elsevierViewall">Avignon<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">67</span></a> proposed 3 insulin sensitivity indices&#58; Sib &#40;derived from fasting plasma insulin and glucose concentrations&#41;&#44; Si2h &#40;derived from plasma insulin and glucose concentrations in the 120th min of OGTT&#41; and SiM &#40;derived by averaging Sib and Si2h after balancing Sib by a coefficient of 0&#46;137 to give the same weight to both indices&#41;&#58;<elsevierMultimedia ident="eq0040"></elsevierMultimedia>where <span class="elsevierStyleItalic">I</span> and <span class="elsevierStyleItalic">G</span> represent the plasma concentrations of insulin &#40;mIU&#47;l&#41; and glucose &#40;mmol&#47;l&#41;&#44; respectively and&#44; VD is the glucose distribution volume calculated using a monocompartmental model&#58; VD<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>150<span class="elsevierStyleHsp" style=""></span>ml&#47;kg of body weight&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a></p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Matsuda et al&#46; index</span><p id="par0335" class="elsevierStylePara elsevierViewall">Originally proposed by Matsuda and DeFronzo&#44;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">39</span></a> insulin sensitivity index-Matsuda &#40;ISI<span class="elsevierStyleInf">&#40;Matsuda&#41;</span>&#41; is an whole body insulin sensitivity index that reflects a composite estimate of hepatic and muscle insulin sensitivity&#46; This index is calculated from plasma glucose &#40;mg&#47;dl&#41; and insulin &#40;mIU&#47;l&#41; concentrations in fasting state and during OGTT&#46;</p><p id="par0340" class="elsevierStylePara elsevierViewall">The formula for the Matsuda index is&#58;<elsevierMultimedia ident="eq0045"></elsevierMultimedia>where 10&#44;000 &#8211; simplifying constant to get numbers from 0 to 12&#44; &#8730; &#8211; correction of the nonlinear values distribution&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0</span> &#8211; fasting plasma glucose concentration &#40;mg&#47;dl&#41;&#44; <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0</span> &#8211; fasting plasma insulin concentration &#40;mIU&#47;l&#41;&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma glucose concentration during OGTT &#40;mg&#47;dl&#41;&#44; from 0 to 120<span class="elsevierStyleHsp" style=""></span>min and <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">mean</span> &#8211; mean plasma insulin concentration during OGTT &#40;mIU&#47;l&#41;&#44; from 0 to 120<span class="elsevierStyleHsp" style=""></span>min&#46;</p><p id="par0345" class="elsevierStylePara elsevierViewall">The insulin secretion&#47;insulin resistance &#40;disposition&#41; index calculated as the product of insulin secretion measured with &#40;&#916;<span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0&#8211;30</span>&#47;&#916;<span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0&#8211;30</span> or &#916;<span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0&#8211;120</span>&#47;&#916;<span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0&#8211;120</span>&#41; and ISI<span class="elsevierStyleInf">&#40;Matsuda&#41;</span> &#40;or modified ISI<span class="elsevierStyleInf">&#40;Matsuda&#41;</span> using plasma glucose and insulin concentrations at 30<span class="elsevierStyleHsp" style=""></span>min during the OGTT&#41;&#44; had excellent power to predict onset of type 2 diabetes&#46;<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">68</span></a></p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Belfiore et al&#46; index</span><p id="par0350" class="elsevierStylePara elsevierViewall">The condition for calculation of the Belfiore formula is the definition of the normal value for basal glucose and insulin concentrations&#44; and for mean normal value for glucose and insulin areas during OGTT&#46;<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> The main point of the Belfiore formula is the comparison of insulin and glucose values measured &#40;fasting&#44; 0&#8211;1&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas or 0&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas&#41; with the defined normal reference values&#46;</p><p id="par0355" class="elsevierStylePara elsevierViewall">The ISI<span class="elsevierStyleInf">Belfiore</span> index is defined as&#58;<elsevierMultimedia ident="eq0050"></elsevierMultimedia>where <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">s</span></span>&#44; <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">N</span></span> &#8211; plasma glucose concentrations expressed as fasting values or as areas obtained during a standard OGTT at 0 and 2<span class="elsevierStyleHsp" style=""></span>h &#40;0&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas are equal to <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">S</span>&#44;<span class="elsevierStyleItalic">N</span></span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">120</span>&#41; or at 0&#44; 1 and 2<span class="elsevierStyleHsp" style=""></span>h &#40;0&#8211;1&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas equal to <span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">S</span>&#44;<span class="elsevierStyleItalic">N</span></span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#189;<span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">60</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">120</span>&#44; <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">s</span></span>&#44; <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">N</span></span> &#8211; plasma insulin concentrations expressed as fasting values or as areas obtained during a standard OGTT at 0 and 2<span class="elsevierStyleHsp" style=""></span>h &#40;0&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas are equal to <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">S</span>&#44;<span class="elsevierStyleItalic">N</span></span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">120</span>&#41; or at 0&#44; 1 and 2<span class="elsevierStyleHsp" style=""></span>h &#40;0&#8211;1&#8211;2<span class="elsevierStyleHsp" style=""></span>h areas equal to <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">S</span>&#44;<span class="elsevierStyleItalic">N</span></span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#189;<span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">60</span><span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">120</span>&#46; The subscripts <span class="elsevierStyleItalic">S</span> and <span class="elsevierStyleItalic">N</span> refer to &#8220;subjects&#8221; and &#8220;normal reference values&#8221;&#44; respectively&#46;</p><p id="par0360" class="elsevierStylePara elsevierViewall">Insulin sensitivity calculated using these formulas can achieve only values between 0 and 2&#46; In subjects with normal insulin sensitivity is it around 1&#59; in overweight subjects&#44; in subjects with impaired glucose tolerance&#44; and with type 2 diabetes this value is below 1&#46;<a class="elsevierStyleCrossRefs" href="#bib0345"><span class="elsevierStyleSup">69&#44;70</span></a></p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Stumvoll et al&#46; index</span><p id="par0365" class="elsevierStylePara elsevierViewall">Stumvoll proposed a series of indices calculated from plasma glucose &#40;mmol&#47;l&#41; and insulin &#40;pmol&#47;l concentrations during OGTT&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">70</span></a> The equations were generated using the multiple linear regression analysis and adapted to the availabilities of sampling times during OGTT&#44; and of demographic parameters &#40;BMI&#44; age&#41;&#46;</p><p id="par0370" class="elsevierStylePara elsevierViewall">An example equation could be the index of insulin sensitivity calculated from data obtained in 0&#44; 60 and 120<span class="elsevierStyleHsp" style=""></span>min of OGTT either with or without demographic data&#58;<ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><p id="par0375" class="elsevierStylePara elsevierViewall">ISI<span class="elsevierStyleInf">Stumvoll</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;222<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;00333<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>BMI<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;0000779<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">120</span><span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;000422<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>age</p></li><li class="elsevierStyleListItem" id="lsti0010"><p id="par0380" class="elsevierStylePara elsevierViewall">ISI<span class="elsevierStyleInf">Stumvoll</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;156<span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;0000459<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">120</span><span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;000321<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0</span><span class="elsevierStyleHsp" style=""></span>&#8722;<span class="elsevierStyleHsp" style=""></span>0&#46;00541<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">G</span><span class="elsevierStyleInf">120</span></p></li></ul></p></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">McAuley et al&#46; index</span><p id="par0385" class="elsevierStylePara elsevierViewall">The authors proposed a formula for predicting insulin resistance in normoglycemic individuals&#46;<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">71</span></a> Regression analysis was used to estimate the cut-off points and the importance of various data for insulin resistance &#40;fasting concentrations of insulin&#44; triglycerides&#44; aspartate aminotransferase&#44; BMI&#44; waist circumference&#41;&#46; A bootstrap procedure was used to find an index most strongly correlating with insulin sensitivity index&#44; corrected for fat-free mass obtained by HIEC MffmI&#46;<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a></p><p id="par0390" class="elsevierStylePara elsevierViewall">An insulin sensitivity index obtained from HIEC of &#8804;6&#46;3 &#40;expressed as glucose disposal rate in mg&#47;kg&#47;min divided by average plasma insulin concentration in mIU&#47;l&#41; was seen as a cut-off for individuals with insulin resistance&#46; The combination of fasting insulin &#40;mIU&#47;l&#41; and triglycerides &#40;TAG&#44; mmol&#47;l&#41; showed the best prediction of insulin resistance as follows&#58;<elsevierMultimedia ident="eq0055"></elsevierMultimedia>where <span class="elsevierStyleItalic">I</span><span class="elsevierStyleInf">0</span> &#8211; fasting plasma insulin concentration &#40;mIU&#47;l&#41; and TAG<span class="elsevierStyleInf">0</span> &#8211; fasting plasma triglycerides concentration &#40;mmol&#47;l&#41;&#46;</p></span><span id="sec0110" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Oral Glucose Insulin Sensitivity</span><p id="par0395" class="elsevierStylePara elsevierViewall">The Oral Glucose Insulin Sensitivity &#40;OGIS&#41; is a method for the assessment of insulin sensitivity from the OGTT&#46; OGIS provides an index that correlates to the index of insulin sensitivity obtained from the HIEC&#46;</p><p id="par0400" class="elsevierStylePara elsevierViewall">This method calculates insulin sensitivity with a model-derived equation of the form&#58;<elsevierMultimedia ident="eq0060"></elsevierMultimedia>where <span class="elsevierStyleItalic">G</span> and <span class="elsevierStyleItalic">I</span> are glucose and insulin concentrations &#40;subscripts represent time instant&#41; and <span class="elsevierStyleItalic">D</span><span class="elsevierStyleInf"><span class="elsevierStyleItalic">O</span></span> is the oral glucose dose &#40;g&#47;m<span class="elsevierStyleSup">2</span> body surface area&#41;&#46;</p><p id="par0405" class="elsevierStylePara elsevierViewall">The function <span class="elsevierStyleItalic">f</span> is complex&#44; but can be easily programmed on a spreadsheet &#40;see <a id="intr0005" class="elsevierStyleInterRef" href="http://www.isib.cnr.it/bioing/ogis/home.html">http&#58;&#47;&#47;www&#46;isib&#46;cnr&#46;it&#47;bioing&#47;ogis&#47;home&#46;html</a>&#44; where a web-based calculator is also available&#41;&#46; The expression of <span class="elsevierStyleItalic">f</span> contains some parameters&#44; chosen to maximize the agreement with the HIEC&#46; Glucose and insulin can be given in either common or international units &#40;with appropriate parameters&#44; see table 2 in<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">72</span></a>&#41;&#46;</p><p id="par0410" class="elsevierStylePara elsevierViewall">OGIS is a predictor of the HIEC insulin sensitivity&#44; expressed as glucose clearance M&#47;G&#44; normalized to body surface area&#46; The units of OGIS are thus ml&#47;min&#47;m<span class="elsevierStyleSup">2</span> of body surface area&#46; OGIS has been validated against an 120<span class="elsevierStyleHsp" style=""></span>mU&#47;min&#47;m<span class="elsevierStyleSup">2</span> insulin infusion HIEC &#40;by direct comparison of the glucose clearance values&#41;&#44; instead of the more standard 40<span class="elsevierStyleHsp" style=""></span>mU&#47;min&#47;m<span class="elsevierStyleSup">2</span> used in the previous methods&#46; Formulas for a 3<span class="elsevierStyleHsp" style=""></span>h and 2<span class="elsevierStyleHsp" style=""></span>h OGTT are also available&#46;<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">72</span></a></p><p id="par0415" class="elsevierStylePara elsevierViewall">OGIS exploits the known quantitative relationships between the observed data and the HIEC insulin sensitivity to attempt a genuine insulin sensitivity prediction&#46; However&#44; this advantage is limited by the necessity to use empirical assumptions&#44; and to calculate parameters from regression&#46;<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">72</span></a></p></span><span id="sec0115" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Rapid Insulin Sensitivity Test index</span><p id="par0420" class="elsevierStylePara elsevierViewall">The RIST index is the parameter used to evaluate insulin sensitivity that represents the total amount of glucose infused during the Rapid Insulin Sensitivity Test &#40;RIST&#41;&#44; in order to maintain euglycemia after the exogenous bolus administration of insulin&#46; It corresponds to the area under the curve &#40;AUC&#41; of total glucose infused &#40;mg glucose&#47;kg bw&#41; throughout the test<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">52</span></a>&#58;<elsevierMultimedia ident="eq0065"></elsevierMultimedia></p></span></span></span><span id="sec0120" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Conclusions</span><p id="par0425" class="elsevierStylePara elsevierViewall">This paper has examined a wide variety of methods currently available for estimating insulin sensitivity&#47;resistance and also introduces a new method &#8211; the RIST&#46; The methods range from complex&#44; time-consuming&#44; labor-intensive&#44; invasive procedures to simple tests involving a single fasting blood sample&#46; It is important to understand the concepts underlying each method so that relative merits and limitations are appropriately matched to proposed applications&#46; Developing valid&#44; reliable&#44; cost-effective methods of assessing insulin sensitivity is a major scientific challenge&#46; Dynamic tests are useful if information about both insulin secretion and insulin action are needed&#46; As with all measurement techniques&#44; correct interpretation of data from different methods for measuring insulin sensitivity requires a complete understanding of the technique&#46;</p></span><span id="sec0125" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Funding</span><p id="par0430" class="elsevierStylePara elsevierViewall">This study was supported by <span class="elsevierStyleGrantSponsor" id="gs0005">Funda&#231;&#227;o para a Ci&#234;ncia e Tecnologia &#40;FCT&#41;</span> grants <span class="elsevierStyleGrantNumber" refid="gs0005">FCT&#47;POCI&#47;SAU-OBS&#47;56716&#47;2004</span> and <span class="elsevierStyleGrantNumber" refid="gs0005">PIC&#47;IC&#47;82956&#47;2007</span> and by the <span class="elsevierStyleGrantSponsor" id="gs0010">Portuguese Diabetes Society &#40;SPD&#41;</span>&#46;</p></span><span id="sec0130" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Conflicts of interest</span><p id="par0435" class="elsevierStylePara elsevierViewall">The authors declare no conflicts of interest&#46;</p></span></span>"
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          "titulo" => "Introduction"
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          "identificador" => "sec0010"
          "titulo" => "Methods of insulin sensitivity&#47;resistance assessment"
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            0 => array:2 [
              "identificador" => "sec0015"
              "titulo" => "Hyperinsulinemic Euglycemic Glucose Clamp"
            ]
            1 => array:2 [
              "identificador" => "sec0020"
              "titulo" => "Insulin Tolerance Test"
            ]
            2 => array:2 [
              "identificador" => "sec0025"
              "titulo" => "Insulin Suppression Test"
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            3 => array:2 [
              "identificador" => "sec0030"
              "titulo" => "Continuous infusion of glucose with model assessment"
            ]
            4 => array:2 [
              "identificador" => "sec0035"
              "titulo" => "Minimal model analysis of frequently sampled intravenous glucose tolerance test"
            ]
            5 => array:2 [
              "identificador" => "sec0040"
              "titulo" => "Oral Glucose Tolerance Test"
            ]
            6 => array:2 [
              "identificador" => "sec0045"
              "titulo" => "Meal Tolerance Test"
            ]
            7 => array:2 [
              "identificador" => "sec0050"
              "titulo" => "Rapid Insulin Sensitivity Test"
            ]
          ]
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        6 => array:3 [
          "identificador" => "sec0055"
          "titulo" => "Simple surrogate indexes for insulin sensitivity&#47;resistance"
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              "identificador" => "sec0060"
              "titulo" => "Homeostasis Model Assessment"
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              "identificador" => "sec0065"
              "titulo" => "Quantitative insulin sensitivity check index"
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              "titulo" => "Insulin sensitivity indexes"
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                0 => array:2 [
                  "identificador" => "sec0075"
                  "titulo" => "Cederholm and Wibell index"
                ]
                1 => array:2 [
                  "identificador" => "sec0080"
                  "titulo" => "Gutt et al&#46; index"
                ]
                2 => array:2 [
                  "identificador" => "sec0085"
                  "titulo" => "Avignon et al&#46; index"
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                3 => array:2 [
                  "identificador" => "sec0090"
                  "titulo" => "Matsuda et al&#46; index"
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                  "identificador" => "sec0095"
                  "titulo" => "Belfiore et al&#46; index"
                ]
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                  "identificador" => "sec0100"
                  "titulo" => "Stumvoll et al&#46; index"
                ]
                6 => array:2 [
                  "identificador" => "sec0105"
                  "titulo" => "McAuley et al&#46; index"
                ]
                7 => array:2 [
                  "identificador" => "sec0110"
                  "titulo" => "Oral Glucose Insulin Sensitivity"
                ]
                8 => array:2 [
                  "identificador" => "sec0115"
                  "titulo" => "Rapid Insulin Sensitivity Test index"
                ]
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          "titulo" => "Conclusions"
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          "titulo" => "Funding"
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          "identificador" => "sec0130"
          "titulo" => "Conflicts of interest"
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          "identificador" => "xack87666"
          "titulo" => "Acknowledgements"
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          "titulo" => "References"
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    "fechaRecibido" => "2012-09-05"
    "fechaAceptado" => "2013-10-22"
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          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec336593"
          "palabras" => array:6 [
            0 => "Hyperinsulinemic Euglycemic Glucose Clamp"
            1 => "Oral Glucose Tolerance Test"
            2 => "Meal Tolerance Test"
            3 => "Rapid Insulin Sensitivity Test"
            4 => "Homeostasis Model Assessment"
            5 => "Oral Glucose Insulin Sensitivity"
          ]
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      ]
      "pt" => array:1 [
        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palavras-chave"
          "identificador" => "xpalclavsec336592"
          "palabras" => array:6 [
            0 => "Clamp de glucose hiperinsulin&#233;mico e euglic&#233;mico"
            1 => "Teste oral de toler&#226;ncia &#224; glucose"
            2 => "Teste de toler&#226;ncia &#224; refei&#231;&#227;o"
            3 => "Teste r&#225;pido de sensibilidade &#224; insulina"
            4 => "Avalia&#231;&#227;o do modelo de homeostase"
            5 => "Glucose oral e sensibilidade &#224; insulina"
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        "resumen" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Insulin resistance contributes to the pathophysiology of diabetes and is a hallmark of obesity&#44; metabolic syndrome&#44; and many cardiovascular diseases&#46; Therefore&#44; quantifying insulin sensitivity&#47;resistance in humans and animal models is of great importance&#46;</p><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Various methods are used to assess insulin sensitivity both in individuals and in study populations&#46; Validity&#44; reproducibility&#44; cost&#44; and degree of subject burden are important factors for both clinicians and researchers to consider when weighing the merits of a particular method&#46; Some methods rely on steady-state analysis of glucose and insulin&#44; whereas others rely on dynamic testing&#46; Each of these methods has distinct advantages and limitations&#46; Thus&#44; optimal choice and employment of a specific method depend on the nature of the studies being performed&#46; Established direct methods for measuring insulin sensitivity <span class="elsevierStyleItalic">in vivo</span> are relatively complex&#46; Finally&#44; simple surrogate indexes for insulin sensitivity&#47;resistance are available that are derived from blood insulin and glucose concentrations under fasting conditions &#40;steady state&#41; or in the postprandial state &#40;dynamic&#41;&#46; This article highlight merits&#44; limitations&#44; and appropriate use of current <span class="elsevierStyleItalic">in vivo</span> measures of insulin sensitivity&#47;resistance and presents the advantages and disadvantages of each&#46;</p>"
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        "resumen" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A resist&#234;ncia &#224; insulina contribui para a fisiopatologia da diabetes e &#233; uma caracter&#237;stica marcante da obesidade&#44; da s&#237;ndrome metab&#243;lica&#44; e de doen&#231;as cardiovasculares&#46; Assim&#44; quantificar a sensibilidade &#224; insulina <span class="elsevierStyleItalic">vs</span> resist&#234;ncia &#224; insulina em humanos e em modelos animais &#233; de grande import&#226;ncia&#46;</p><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Existem v&#225;rios m&#233;todos para avaliar a sensibilidade &#224; insulina&#44; tanto em indiv&#237;duos&#44; como em popula&#231;&#245;es de estudo&#46; A validade&#44; reprodutibilidade&#44; custo e envolvimento dos indiv&#237;duos s&#227;o fatores importantes a considerar para os cl&#237;nicos e investigadores aquando da escolha de um determinado m&#233;todo de avalia&#231;&#227;o da sensibilidade e&#47;ou resist&#234;ncia &#224; insulina&#46; Alguns m&#233;todos dependem da quantifica&#231;&#227;o dos n&#237;veis de glucose e de insulina no estado estacion&#225;rio&#44; embora outros m&#233;todos possam ser utilizados no estado din&#226;mico&#46; Cada um destes m&#233;todos tem vantagens e limita&#231;&#245;es distintas&#46; Assim&#44; a escolha e a aplicabilidade correta de um m&#233;todo espec&#237;fico depende da natureza dos estudos a serem realizados&#46; O desenho de m&#233;todos diretos para medir a sensibilidade &#224; insulina <span class="elsevierStyleItalic">in vivo</span> &#233; relativamente complexo&#46; Existem alguns &#237;ndices simples para avaliar a sensibilidade e&#47;ou resist&#234;ncia &#224; insulina&#44; que resultam da avalia&#231;&#227;o das concentra&#231;&#245;es de insulina e glucose em jejum &#40;estado estacion&#225;rio&#41; ou no estado p&#243;s-prandial &#40;estado din&#226;mico&#41;&#46; Este artigo destaca as limita&#231;&#245;es e a utiliza&#231;&#227;o adequada dos atuais m&#233;todos de avalia&#231;&#227;o de sensibilidade e&#47;ou resist&#234;ncia &#224; insulina e apresenta as vantagens e desvantagens de cada um dos m&#233;todos&#46;</p>"
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                          "etal" => false
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ISSN: 16463439
Original language: English
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es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos