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  • Source: SPINA-GBeta

    • SPINA-GBeta is a calculated biomarker for pancreatic beta cell function. It represents the maximum amount of insulin that beta cells can produce per time-unit (e.g. in one second).


    How to determine GBeta


    The index is derived from a mathematical model of insulin-glucose homeostasis. For diagnostic purposes, it is calculated from fasting insulin and glucose concentrations with:








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    {\displaystyle {\widehat {G}}_{\beta }={\frac {[I](\infty )({D}_{\beta }+\left[G\right](\infty ))}{{G}_{3}[G](\infty )}}}

    .
    [I](∞): Fasting Insulin plasma concentration (μU/mL)
    [G](∞): Fasting blood glucose concentration (mg/dL)
    Dβ: EC50 for glucose at beta cells (7 mmol/L)
    G3: Parameter for pharmacokinetics (58,8 s/L)


    Clinical significance




    = Validity

    =
    SPINA-GBeta significantly correlates with the M value in glucose clamp studies and (better than HOMA-Beta) with the two-hour value in oral glucose tolerance testing (OGTT), glucose rise in OGTT, subscapular skinfold, truncal fat content and the HbA1c fraction.
    It has the additional advantage that it circumvents the HOMA-blind zone, which renders the calculation of HOMA-Beta impossible if the fasting glucose concentration is 3.5 mmol/L (63 mg/dL) or below. Unlike HOMA-Beta, SPINA-Beta can be sensibly calculated in the whole range of measurements.


    = Reliability

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    In repeated measurements, SPINA-GBeta had higher retest reliability than HOMA-Beta, a measurement for beta cell function from the homeostasis model assessment.


    = Clinical utility

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    In the FAST study, an observational case-control sequencing study including 300 persons from Germany, SPINA-GBeta differed more clearly between subjects with and without diabetes than the corresponding HOMA-Beta index.


    Scientific implications and other uses


    Together with the reconstructed insulin receptor gain (SPINA-GR), SPINA-GBeta provides the foundation for the definition of a fasting based disposition index of insulin-glucose homeostasis (SPINA-DI).
    In combination with SPINA-GR and whole-exome sequencing, calculating SPINA-GBeta helped to identify a new form of monogenetic diabetes (MODY) that is characterised by primary insulin resistance and results from a missense variant of the type 2 ryanodine receptor (RyR2) gene (p.N2291D).


    Pathophysiological implications


    In several populations, SPINA-GBeta correlated with the area under the glucose curve and 2-hour concentrations of glucose, insulin and proinsulin in oral glucose tolerance testing, concentrations of free fatty acids, ghrelin and adiponectin, and the HbA1c fraction.


    Predictive aspects


    In a longitudinal evaluation of the NHANES study, a large sample of the general US population, over 10 years, reduced SPINA-GBeta significantly predicted all-cause mortality.


    See also


    SPINA-GR
    SPINA-GD
    SPINA-GT
    Homeostatic model assessment
    QUICKI


    Notes




    References




    External links


    Functions for R and S for calculating SPINA-GBeta and SPINA-GR. (Permanent DOI)

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