Back to Search
Start Over
The liver–alpha cell axis associates with liver fat and insulin resistance: a validation study in women with non-steatotic liver fat levels
- Source :
- Diabetologia 64, 512-520 (2021), Gar, C, Haschka, S J, Kern-Matschilles, S, Rauch, B, Sacco, V, Prehn, C, Adamski, J, Seissler, J, Wewer Albrechtsen, N J, Holst, J J & Lechner, A 2021, ' The liver–alpha cell axis associates with liver fat and insulin resistance : a validation study in women with non-steatotic liver fat levels ', Diabetologia, vol. 64, no. 3, pp. 512-520 . https://doi.org/10.1007/s00125-020-05334-x, Diabetologia
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Aims/hypothesis Many individuals who develop type 2 diabetes also display increased glucagon levels (hyperglucagonaemia), which we have previously found to be associated with the metabolic syndrome. The concept of a liver–alpha cell axis provides a possible link between hyperglucagonaemia and elevated liver fat content, a typical finding in the metabolic syndrome. However, this association has only been studied in individuals with non-alcoholic fatty liver disease. Hence, we searched for a link between the liver and the alpha cells in individuals with non-steatotic levels of liver fat content. We hypothesised that the glucagon–alanine index, an indicator of the functional integrity of the liver–alpha cell axis, would associate with liver fat and insulin resistance in our cohort of women with low levels of liver fat. Methods We analysed data from 79 individuals participating in the Prediction, Prevention and Subclassification of Type 2 Diabetes (PPSDiab) study, a prospective observational study of young women at low to high risk for the development of type 2 diabetes. Liver fat content was determined by MRI. Insulin resistance was calculated as HOMA-IR. We conducted Spearman correlation analyses of liver fat content and HOMA-IR with the glucagon–alanine index (the product of fasting plasma levels of glucagon and alanine). The prediction of the glucagon–alanine index by liver fat or HOMA-IR was tested in multivariate linear regression analyses in the whole cohort as well as after stratification for liver fat content ≤0.5% (n = 39) or >0.5% (n = 40). Results The glucagon–alanine index significantly correlated with liver fat and HOMA-IR in the entire cohort (ρ = 0.484, p ρ = 0.417, p 0.5% (liver fat, ρ = 0.550, p ρ = 0.429, p = 0.006). In linear regression analyses, the association of the glucagon–alanine index with liver fat remained significant after adjustment for age and HOMA-IR in all participants and in those with liver fat >0.5% (β = 0.246, p = 0.0.23 and β = 0.430, p = 0.007, respectively) but not in participants with liver fat ≤0.5% (β = −0.184, p = 0.286). Conclusions/interpretation We reproduced the previously reported association of liver fat content and HOMA-IR with the glucagon–alanine index in an independent study cohort of young women with low to high risk for type 2 diabetes. Furthermore, our data indicates an insulin-resistance-independent association of liver fat content with the glucagon–alanine index. In summary, our study supports the concept that even lower levels of liver fat (from 0.5%) are connected to relative hyperglucagonaemia, reflecting an imminent impairment of the liver–alpha cell axis.
- Subjects :
- Adult
Liver/metabolism
medicine.medical_specialty
Cross-sectional study
Endocrinology, Diabetes and Metabolism
Alpha (ethology)
Liver–alpha cell axis
Type 2 diabetes
Alanine/blood
Amino Acids/blood
Cross-sectional Studies
Female
Glucagon
Humans
Insulin Resistance
Insulin Resistance/physiology
Liver–alpha Cell Axis
Article
Insulin resistance
Non-alcoholic Fatty Liver Disease
Predictive Value of Tests
Internal medicine
Internal Medicine
medicine
Prospective Studies
Adiposity
Amino acids/blood
Alanine
business.industry
Fatty liver
Prognosis
medicine.disease
Magnetic Resonance Imaging
ddc
Cross-Sectional Studies
Endocrinology
Liver
Insulin resistance/physiology
Glucagon-Secreting Cells
Cohort
Cross-sectional studies
Metabolic syndrome
business
Biomarkers
Blood Chemical Analysis
Subjects
Details
- ISSN :
- 14320428 and 0012186X
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- Diabetologia
- Accession number :
- edsair.doi.dedup.....5198866e5f083f89d6a381774c185c20