SPINA-GR explained

SPINA-GR
Purpose:Medical diagnosis, research
Test Of:Insulin sensitivity
Reference Range:1.41–9.00 mol/s
Calculator:https://doi.org/10.5281/zenodo.7479856

SPINA-GR is a calculated biomarker for insulin sensitivity.[1] It represents insulin receptor gain.

How to determine GR

The index is derived from a mathematical model of insulin-glucose homeostasis.[2] For diagnostic purposes, it is calculated from fasting insulin and glucose concentrations with:

{\widehat{G}}R=

{G
1

P(infty)({D}R+\left[I\right](infty))}{{G}E\left[I\right](infty)[G](infty)}-

{D
R
}-\frac.[1]

[''I''](∞): Fasting Insulin plasma concentration (μU/mL)
[''G''](∞): Fasting blood glucose concentration (mg/dL)
G1: Parameter for pharmacokinetics (154.93 s/L)
DR: EC50 of insulin at its receptor (1,6 nmol/L)
GE: Effector gain (50 s/mol)
P(∞): Constitutive endogenous glucose production (150 μmol/s)

Clinical significance

Validity

Compared to healthy volunteers, SPINA-GR is significantly reduced in persons with prediabetes and diabetes mellitus, and it correlates with the M value in glucose clamp studies, triceps skinfold, subscapular skinfold and (better than HOMA-IR and QUICKI) with the two-hour value in oral glucose tolerance testing (OGTT), glucose rise in OGTT, waist-to-hip ratio, body fat content (measured via DXA) and the HbA1c fraction.[1]

Clinical utility

Both in the FAST study, an observational case-control sequencing study including 300 persons from Germany, and in a large sample from the NHANES study, SPINA-GR differed more clearly between subjects with and without diabetes than the corresponding HOMA-IR, HOMA-IS and QUICKI indices.[3]

Scientific implications and other uses

Together with the secretory capacity of pancreatic beta cells (SPINA-GBeta), SPINA-GR provides the foundation for the definition of a fasting based disposition index of insulin-glucose homeostasis (SPINA-DI).[3]

In combination with SPINA-GBeta and whole-exome sequencing, calculating SPINA-GR 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).[4]

Pathophysiological implications

In lean subjects it is significantly higher than in a population with obese persons.[1] In several populations, SPINA-GR 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.[3]

See also

References

  1. Dietrich . JW . Dasgupta . R . Anoop . S . Jebasingh . F . Kurian . ME . Inbakumari . M . Boehm . BO . Thomas . N . SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell function. . Scientific Reports . 21 October 2022 . 12 . 1 . 17659 . 10.1038/s41598-022-22531-3 . 36271244. 9587026 . 2022NatSR..1217659D .
  2. Dietrich . Johannes W. . Böhm . Bernhard . Die MiMe-NoCoDI-Plattform: Ein Ansatz für die Modellierung biologischer Regelkreise . GMDS 2015; 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik . 27 August 2015 . Biometrie und Epidemiologie e.V. (GMDS) . 10.3205/15gmds058.
  3. Dietrich . Johannes W. . Abood . Assjana . Dasgupta . Riddhi . Anoop . Shajith . Jebasingh . Felix K. . Spurgeon . R. . Thomas . Nihal . Boehm . Bernhard O. . A novel simple disposition index (SPINA-DI) from fasting insulin and glucose concentration as a robust measure of carbohydrate homeostasis . . 2 January 2024 . 10.1111/1753-0407.13525 . 38169110 . 266752689 . free .
  4. Bansal . Vikas . Winkelmann . Bernhard R. . Dietrich . Johannes W. . Boehm . Bernhard O. . Whole-exome sequencing in familial type 2 diabetes identifies an atypical missense variant in the RyR2 gene . Frontiers in Endocrinology . 20 February 2024 . 15 . 10.3389/fendo.2024.1258982 . 38444585 . free . 10913019 .

External links