Literature DB >> 22275083

Prediabetes: evaluation of β-cell function.

Ananda Basu1, Morten Gram Pedersen, Claudio Cobelli.   

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Year:  2012        PMID: 22275083      PMCID: PMC3266404          DOI: 10.2337/db11-1677

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


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β-Cell function should be expressed as insulin secretion in relation to the prevailing and changing glucose concentration and interpreted in light of prevailing insulin resistance. Characterizing alterations in β-cell function in individuals with impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) (collectively termed “prediabetes”) has been a hotly pursued topic among clinical investigators over the past several years. Because IFG and IGT are both associated with elevated risk of progression to overt type 2 diabetes and cardiovascular events (1–3), it is important to understand the specific defects in β-cell function that occur in these settings. Such knowledge could translate into targeted therapeutic interventions that could potentially delay or halt the progression of IFG/IGT to frank diabetes. In this issue of Diabetes, Abdul-Ghani and colleagues (4) attempt to characterize changes in β-cell function in a group of middle-aged, obese, predominantly female Mexican Americans with and without prediabetes using the frequently sampled oral glucose tolerance test (OGTT) and in subgroups using the hyperglycemic clamp technique. Applying published models and methods (5), the authors identified distinct defects in β-cell function in response to oral/intravenous glucose load in individuals with IFG and IGT and attempted to define specific abnormalities in glucose and time-dependent β-cell responsiveness in these subjects. They concluded that while first-phase insulin secretion was decreased in subjects with IFG, both first and second phases of insulin secretion were abnormal in those with IGT. It is important to consider these results in the context of a growing body of literature on this topic that applies various methodologies in different ethnic groups. A prior report (6) in a sizable population that used relatively simple and less precise methods suggested a progressive increase and then a decline in insulin response following OGTT from NGT to IGT to IFG. In contrast, applying the hyperglycemic clamp technique, Meyer et al. (7) concluded, in concordance with the present report, that first-phase insulin response was decreased in both IFG and IGT, whereas second-phase insulin response was reduced only in IGT. Abdul-Ghani et al. (8) have also reported a progressive decline in insulin secretion from IFG to IGT to combined IFG/IGT in Mexican American subjects using the insulinogenic index following an OGTT. In a cohort of whites responding to a mixed meal, Bock et al. (9) described lower disposition indices (DI; composite of insulin secretion appropriate to the prevailing level of insulin action) in those with IGT compared with those with IFG. Furthermore, DI dynamic (analogous to first-phase insulin secretion), which assesses the appropriateness of insulin secretion in response to a change in glucose, and DI static (analogous to second-phase insulin secretion), which assesses the appropriateness of insulin secretion to a given glucose level, were both impaired in subjects with IGT with the severity of the dynamic defect increasing as glucose tolerance worsened. In contrast, Ferrannini et al. (5) used an OGTT model and reported that while the static response of insulin secretion was decreased in IGT, the dynamic response to a change in glucose was intact. These contrasting findings could be related to differences in glucose challenges (mixed meal vs. OGTT), models used, and/or to the descriptors applied (DI vs. insulin secretion index). It is also important to consider the robustness, assumptions, and limitations of the models used to estimate β-cell function in various reports. Investigations (10–12) suggest that first (dynamic) phase of insulin secretion likely relates to exocytosis of insulin from secretory vesicles docked to the membrane, whereas the second (static) phase of insulin secretion reflects insulin granule translocation and maturation. In order to permit granule mobilization and second-phase release, remodeling of the cortical actin web is believed to be necessary. In β-cells, key molecules involved in cytoskeletal reorganization activate 5–15 min after a rise in the glucose concentration (13), suggesting an inherent delay in glucose-stimulated insulin secretion. As has been extensively discussed in a prior review (14), the model used by Abdul-Ghani and colleagues (15) in the current study does not account for the delay between the glucose signal and release of new insulin into the circulation. Use of the potentiation factor has been proposed to mathematically compensate for this deficiency, at least in part, but the potentiation factor has no obvious mechanistic counterpart on the cellular level. Additionally, complex modeling assumptions that are beyond the scope of this commentary introduce difficulties in appropriate physiological interpretation of the parameters of the model. Nevertheless, most, if not all, recent reports demonstrate identifiable, distinctive, and often progressive abnormalities in β-cell function in response to a glucose challenge in individuals with IFG, IGT, and combined IFG/IGT. Interestingly, nonglucose nutrient-induced insulin secretion was not found to be abnormal in IFG/IGT or combined IFG/IGT (16). Taken together, the results imply a specific defect/s in β-cell function as it relates to a glucose (but not nonglucose nutrient) challenge in individuals with prediabetes. What is the take-home message regarding therapeutic strategies to restore insulin secretion in prediabetes based on current knowledge? While studies in prediabetic rodents (17,18) have suggested a beneficial role of glucagon-like peptide 1–based therapy on restoring insulin secretion, a recent report (19) in humans with prediabetes exposed to short-term treatment with a dipeptidyl peptidase-4 inhibitor did not confirm those observations. Clearly, longer-term clinical trials assessing different pharmacological approaches are needed to evaluate the effect of these agents on restoring β-cell function in individuals with prediabetes and thus prevent the progression to frank diabetes with its attending portfolio of microvascular and macrovascular complications.
  19 in total

1.  Identification of the docked granule pool responsible for the first phase of glucose-stimulated insulin secretion.

Authors:  S Daniel; M Noda; S G Straub; G W Sharp
Journal:  Diabetes       Date:  1999-09       Impact factor: 9.461

2.  Meal and oral glucose tests for assessment of beta -cell function: modeling analysis in normal subjects.

Authors:  Andrea Mari; Ole Schmitz; Amalia Gastaldelli; Torben Oestergaard; Birgit Nyholm; Ele Ferrannini
Journal:  Am J Physiol Endocrinol Metab       Date:  2002-08-06       Impact factor: 4.310

3.  Different mechanisms for impaired fasting glucose and impaired postprandial glucose tolerance in humans.

Authors:  Christian Meyer; Walkyria Pimenta; Hans J Woerle; Timon Van Haeften; Ervin Szoke; Asimina Mitrakou; John Gerich
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

4.  Insulin secretion and action in subjects with impaired fasting glucose and impaired glucose tolerance: results from the Veterans Administration Genetic Epidemiology Study.

Authors:  Muhammad A Abdul-Ghani; Christopher P Jenkinson; Dawn K Richardson; Devjit Tripathy; Ralph A DeFronzo
Journal:  Diabetes       Date:  2006-05       Impact factor: 9.461

5.  Fast insulin secretion reflects exocytosis of docked granules in mouse pancreatic B-cells.

Authors:  Charlotta S Olofsson; Sven O Göpel; Sebastian Barg; Juris Galvanovskis; Xiaosong Ma; Albert Salehi; Patrik Rorsman; Lena Eliasson
Journal:  Pflugers Arch       Date:  2002-01-31       Impact factor: 3.657

6.  beta-Cell function in subjects spanning the range from normal glucose tolerance to overt diabetes: a new analysis.

Authors:  Ele Ferrannini; Amalia Gastaldelli; Yoshinori Miyazaki; Masafumi Matsuda; Andrea Mari; Ralph A DeFronzo
Journal:  J Clin Endocrinol Metab       Date:  2004-10-13       Impact factor: 5.958

7.  Effects of changing diagnostic criteria on the risk of developing diabetes.

Authors:  S F Dinneen; D Maldonado; C L Leibson; G G Klee; H Li; L J Melton; R A Rizza
Journal:  Diabetes Care       Date:  1998-09       Impact factor: 19.112

8.  The natural history of progression from normal glucose tolerance to type 2 diabetes in the Baltimore Longitudinal Study of Aging.

Authors:  James B Meigs; Denis C Muller; David M Nathan; Deirdre R Blake; Reubin Andres
Journal:  Diabetes       Date:  2003-06       Impact factor: 9.461

9.  Fasting and postchallenge glycemia and cardiovascular disease risk: the Framingham Offspring Study.

Authors:  James B Meigs; David M Nathan; Ralph B D'Agostino; Peter W F Wilson
Journal:  Diabetes Care       Date:  2002-10       Impact factor: 19.112

10.  TIRF imaging of docking and fusion of single insulin granule motion in primary rat pancreatic beta-cells: different behaviour of granule motion between normal and Goto-Kakizaki diabetic rat beta-cells.

Authors:  Mica Ohara-Imaizumi; Chiyono Nishiwaki; Toshiteru Kikuta; Shintaro Nagai; Yoko Nakamichi; Shinya Nagamatsu
Journal:  Biochem J       Date:  2004-07-01       Impact factor: 3.857

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  5 in total

Review 1.  Pathophysiology of prediabetes and treatment implications for the prevention of type 2 diabetes mellitus.

Authors:  Michael Bergman
Journal:  Endocrine       Date:  2012-11-07       Impact factor: 3.633

Review 2.  The oral minimal model method.

Authors:  Claudio Cobelli; Chiara Dalla Man; Gianna Toffolo; Rita Basu; Adrian Vella; Robert Rizza
Journal:  Diabetes       Date:  2014-04       Impact factor: 9.461

3.  Sox17 regulates insulin secretion in the normal and pathologic mouse β cell.

Authors:  Diva Jonatan; Jason R Spence; Anna M Method; Matthew Kofron; Katie Sinagoga; Leena Haataja; Peter Arvan; Gail H Deutsch; James M Wells
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

Review 4.  Mathematical models of electrical activity of the pancreatic β-cell: a physiological review.

Authors:  Gerardo J Félix-Martínez; J Rafael Godínez-Fernández
Journal:  Islets       Date:  2014       Impact factor: 2.694

5.  Leucine-glycine and carnosine dipeptides prevent diabetes induced by multiple low-doses of streptozotocin in an experimental model of adult mice.

Authors:  Tohid Vahdatpour; Ali Nokhodchi; Parvin Zakeri-Milani; Mehran Mesgari-Abbasi; Naser Ahmadi-Asl; Hadi Valizadeh
Journal:  J Diabetes Investig       Date:  2019-03-12       Impact factor: 4.232

  5 in total

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