#SPINA_Thyr and #SPINA_Carb, two implementations of the structure parameter inference approach (SPINA), provide evidence-based improved methods for diagnosis and endotyping of endocrine diseases. Now, thoroughly tested apps for Mac and Windows are available for free download.
spina.sf.net
Screenshot of SPINA Carb 5.1.0 Cycline on macOS 15.5 Sequoia, showing two Windows (entry and results).
SPINA Carb 5.1.0 Cyclone has been released in its final version.
#SPINA-GBeta #SPINA-GR #SPINA-DI #SPINA_Carb #insulin #glucose #homeostasis #prediabetes #diabetes
sourceforge.net/projects/spi...
doi.org/10.5281/zeno...
doi.org/10.5281/zeno...
Screenshot of release candidate 3 of SPINA Carb 5.1 Cyclone on mac OS 15.5 Sequoia
Release candidate 3 for the software SPINA Carb Cyclone is available for macOS, Windows and Linux.
sourceforge.net/projects/spi...
doi.org/10.5281/zeno...
doi.org/10.5281/zeno...
#SPINA_Carb #SPINA-GBeta #SPINA-GR #SPINA-DI #HOMA
Screenshot of SPINA Carb 5.1.0 (Cyclone) RC2 on macOS Ventura 13.7.5.
Release candidate 2 of #SPINA_Carb is available for testing.
sourceforge.net/projects/spi...
doi.org/10.5281/zeno...
doi.org/10.5281/zeno...
Screenshot of SPINA Carb Release Candidate 1 for macOS
After intensive internal testing, the release candidate 1 of the #SPINA_Carb app is available. This is the "sister" app for #SPINA_Thyr, and it is provided for purposes of testing.
sourceforge.net/projects/spi...
doi.org/10.5281/zeno...
doi.org/10.5281/zeno...
In an unselected population sample (NHANES 2009/2010), persons with low thyroid's secretory capacity (SPINA-GT) and total step-up deiodinase activity (SPINA-GD) face significantly worse survival over 10 years.
In an unselected population sample (NHANES 2009/2010), persons with low beta-cell function (SPINA-GBeta) and static disposition index (SPINA-DI) are faced with significantly shorter survival over 10 years.
The method of structure parameter inference approach, i.e. #SPINA-Thyr and #SPINA_Carb, has predictive power in the setting of #P4_medicine. In a large population sample, four SPINA parameters, #SPINA-GT, #SPINA-GD, #SPINA-GBeta and #SPINA-DI, predicted all-cause mortality.
doi.org/10.53201/LEI...
#Insulin measurements are useful if combined with #glucose concentration, and they should be done under defined conditions (fasting or in a dynamic glucose tolerance test). Certain calculations like #HOMA, #SPINA_Carb, #Matsuda_index etc. help to increase their diagnostic utility.
Family tree with affected and sequenced individuals.
The p.N2291D is located in the RIH (RyR and IP3R Homology) domain of the protein and also overlaps hotspot II
Both SPINA-GBeta and fasting proinsulin are significantly higher in RyR2 MODY diabetes. Increased SPINA-GBeta represents dynamical compensation of insulin resistance.
Breaking news: In combination with whole-exome sequencing, #SPINA_Carb helped to discover a new form of #MODY #diabetes, caused by an atypical missense variant in the #RyR2 gene (coding the the type 2 #ryanodine receptor). doi.org/10.3389/fend... 🧪🩺
Receiver operating characteristic (ROC) curves for insulin sensitivity index (ISI), insulinogenic index (IGI), the disposition index according to Matsuda and DeFronzo, HOMA-IR (homeostatic model assessment of insulin resistance), HOMA-Beta (homeostatic model assessment of β-cell function), QUICKI (quantitative insulin sensitivity check index), SPINA-GR (reconstructed insulin receptor gain), SPINA-GBeta (secretory capacity of pancreatic beta cells) and SPINA-DI (structure parameter inference approach-disposition index). SPINA-DI has high discriminatory power for the distinction between diabetes and normal glucose homeostasis. ROC curves and corresponding areas under the curve (AUC) are shown for several markers for the function of the insulin-glucose feedback control in the validation dataset. The area under the curve is highest for SPINA-DI (0.90).
Table: Measured and calculated parameters of the feedback loop in subjects with diabetes mellitus, prediabetes and normal glucose homeostasis in two different studies. It showes that SPINA Carb has the best discriminatory power.
Bar plots with reconstructed insulin receptor gain (SPINA-GR), secretory capacity of pancreatic beta cells (SPINA-GBeta) and fasting-based disposition index (SPINA-DI) in two different studies. It shows that SPINA-GBeta, SPINA-GR and SPINA-DI differ significantly between subjects with normal glucose homeostasis, prediabetes and diabetes mellitus.
#SPINA_Carb has high discriminatory power for the distinction between #diabetes and normal glucose homeostasis. SPINA-GBeta is better than HOMA-Beta, SPINA-GR is better than HOMA-IR and QUICKI, but SPINA-DI is best, being even more powerful than ivGTT. 🩺🧪 pubmed.ncbi.nlm.nih.gov/38169110/
