Frontiers in Endocrinology · 2018 · 11 citations · 33 references
Life SciencesBiochemistryMolecular BiologyProtein BiochemistryProtein EngineeringStructural BiologyAmyloid FormationCholesterol MetabolismDiabetes MellitusLipid MetabolismProtein AggregationProtein StructureAggregation PropensityAmyloid Beta PeptidesAmyloid Fibril FormationAmyloid FibrilsAmyloid StructureAmyloidogenic PeptidesBeta-sheet FormationInhibition Of Amyloid Formation
The islet amyloid polypeptide (IAPP) or amylin maintains a key role in metabolism. This 37-residues-peptide could form pancreatic amyloids which are a characteristic feature of Diabetes Mellitus type 2 (DM2). However, some species do not form amyloid fibril structures. By employing a biomimetic approach we generated an extensive panel of optimized sequences of IAPP which could drastically reduce aggregation propensity. A structural and cellular characterization analysis was performed on the C-terminal domain with the highest aggregation propensity. This allowed the observation of an aggregative phenomenon dependent of the lipid environment. Evaluation of the new F23R variant demonstrated inhibition of β-sheet structure and therefore amyloid formation on the native C-terminal, phenomenon that was associated with functional optimization in calcium and cholesterol management coupled with the optimization of insulin secretion by beta cells. When F23R variant was evaluated in microglia cells, a model of amyloidosis, cytotoxic conditions were not registered. In addition, it was found that C-terminal sequences of IAPP could modulate cholesterol metabolism in hepatocytes through regulation of SREBP-2, apoA-1, ABCA1, and LDLR, mechanism that may represent a new function of IAPP on the metabolism of cholesterol, increasing the LDL endocytosis in hepatocytes. Optimized sequences with only one residue modification in the C-terminal core aggregation could diminish β-sheet formation and represent a novel strategy adaptable to other pharmacological targets. Our data suggest a new IAPP function associated with rearrangements on metabolism of cholesterol in hepatocytes.
33
Clustal W and Clustal X version 2.0
Mark Larkin, Gordon Blackshields, Nigel P. Brown et al. · Bioinformatics · 2007 · 29.1K citations · Full text
TreeDyn: towards dynamic graphics and annotations for analyses of trees
François Chevenet, Christine Brun, Anne‐Laure Bañuls et al. · BMC Bioinformatics · 2006 · 1.1K citations · Full text
Exploiting the past and the future in protein secondary structure prediction
Pierre Baldi, Søren Brunak, Paolo Frasconi et al. · Bioinformatics · 1999 · 497 citations · Full text
PASTA 2.0: an improved server for protein aggregation prediction
Ian Walsh, Flavio Seno, Silvio C. E. Tosatto et al. · Nucleic Acids Research · 2014 · 493 citations · Full text