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Biology subjects

Peterfy, M.

Publications and source records attributed to Peterfy, M..

2 recordsLinked to original sources

Functional characterization of hypertriglyceridemia-associated mutations in Lipase Maturation Factor 1 by a second-generation activity assay

Lipase maturation factor 1 (LMF1) is a chaperone for lipoprotein lipase (LPL) and critically required for the enzyme to attain lipase activity. LMF1 has been identified as a canonical gene affected in Familial Chylomicronemia Syndrome (FCS) and it has also been extensively analyzed in Multifactorial Chylomicronemia Syndrome (MCS), the polygenic form of severe hypertriglyceridemia (hTG). While recent genetic studies resulted in an explosion in the number of hTG-associated LMF1 variants in different populations, their functional significance remains largely unknown. Here, we present a second-generation LMF1 activity assay allowing the streamlined quantitative functional analysis of LMF1 variants. The assay is based on the reconstitution of lipase maturation in transfected LMF1-deficient cells and fluorescence-based measurement of LPL activity in the culture medium. The use of Gaussia luciferase (GLuc)-LMF1 fusion constructs allows the assessment of LMF1 protein expression and the calculation of LMF1 specific activity. Several variants previously reported as neutral resulted in loss of LMF1 function in the new assay demonstrating increased sensitivity to detect variants of modest effect sizes. Furthermore, the functional analysis of 14 hTG-associated missense mutations identified 12 loss-of-function (LOF) variants. To gain initial insights into the structural determinants of LMF1 function, we analyzed the domain distribution of 73 hTG-associated missense variants and identified Loop C as a critical region in lipase maturation. In conclusion, we developed a simple, non-radioactive and sensitive quantitative assay of LMF1 activity to facilitate the functional analysis of hyperlipidemia-associated genetic variants and structure-function studies.

biochemistry↗

Adiposity-Independent Effects of Aging on Insulin Sensitivity and Clearance in Humans and Mice

Aims/hypothesisAging is associated with impaired insulin sensitivity and increased prevalence of type 2 diabetes. However, it remains unclear whether aging-related insulin resistance is due to age per se, or increased adiposity associated with advanced age. In the present study, we investigate the impact of aging on insulin sensitivity independent of changes in body composition.\n\nMethodsCohorts of C57BL/6J male mice at 4-8 months of age ( young) and 18-27 mo ( aged) exhibiting similar body composition were characterized with static (plasma glucose and insulin levels) and dynamic (glucose and insulin tolerance tests) measures of glucose metabolism on chow and high-fat diets. Insulin sensitivity was assessed by hyperinsulinemic-euglycemic clamp analysis. The relationship between aging and insulin resistance in humans was investigated in 1,250 non-diabetic Mexican-American individuals who underwent hyperinsulinemic-euglycemic clamps.\n\nResultsIn mice with similar body composition, age had no detrimental effect on plasma glucose and insulin levels. However, aged mice demonstrated mildly, but reproducibly, improved glucose tolerance on both chow and high-fat diets due to increased glucose-stimulated insulin secretion. Moreover, hyperinsulinemic-euglycemic clamps revealed impaired insulin sensitivity and reduced insulin clearance in aged mice on both diets. Consistent with results in the mouse, age remained an independent determinant of insulin resistance after adjustment for body composition in Mexican-Americn males. Advanced age was also associated with diminished insulin clearance, but this effect was dependent on increased BMI.\n\nConclusions/interpretationThis study demonstrates for the first time that aging per se impairs insulin sensitivity independent of adiposity in mice and humans. These results raise the possibility that the pathogenetic mechanisms of age-related and obesity-associated insulin resistance are distinct.\n\nAbbreviations

physiology↗