(221j) Insulin Fibrillation Kinetics at Interfaces Conference: AIChE Annual MeetingYear: 2006Proceeding: 2006 AIChE Annual MeetingGroup: Engineering Sciences and FundamentalsSession: Biomolecules at Interfaces IV - from Bacterial Adhesion to the Influence of an Electrical Potential Time: Tuesday, November 14, 2006 - 2:45pm-3:00pm Authors: Belfort, G., Rensselaer Polytechnic Institute Nayak, A., Rensselaer Polytechnic Institute Dutta, A., Rensselaer Polytechnic Institute McRae, G. J., Massachusetts Institute of Technology Lee, C., MIT Amyloid fibrillation is the process of native soluble proteins misfolding into insoluble fibrils comprising of cross-?-sheets and has received wide attention due to its substantial physiological relevance and the complexity of the underlying physical and chemical reactions. At present, more than 20 amyloidogenic diseases including Alzheimer's disease, Parkinson's disease, and prion?associated encephalopathies have been found to share fibril formation as the common cause. Human insulin is chosen as a model molecule for our study because (i) it is associated with a clinical syndrome, injection-localized amyloidosis, (ii) it is a member of the class of fibril forming proteins that loses its zinc- coordinated hexameric structure to form monomers that then fibrils, (iii) of its well-characterized in vitro fibrillation kinetics under well-defined solution conditions (2 mg/ml, pH 1.6 and 65ºC), (iv) fibril formation is a problem in commercial isolation and purification of insulin at low pH values of 1-3. Here, we investigate the influence of suspended solid interfaces and dissolved sugars on the kinetics of insulin fibrillation. For apolar solid substrates. insulin nucleation is speeded up while growth of fibers is unaffected. However, in the presence of various sugars, the whole fibrillation process (nucleation and growth) is delayed. We also present a mechanistic mathematical model that simulates the phenomena by incorporating the physical chemistry of nucleation and growth dynamics. Estimated by nonlinear least square algorithms, we find rate constants that account for the ubiquitous sigmoidal responses of amyloidogenic proteins when they misfold.