Theoretical modeling of prion disease incubation. Export

@article{citeulike:920810, abstract = {We apply a theoretical aggregation model to laboratory and epidemiological prion disease incubation time data. In our model, slow growth of misfolded protein aggregates from small initial seeds controls the latent or lag phase; aggregate fissioning and subsequent spreading leads to an exponential growth phase. Our model accounts for the striking reproducibility of incubation times for high dose inoculation of lab animals. In particular, low dose yields broad incubation time distributions, and increasing dose narrows distributions and yields sharply defined onset times. We also explore how incubation time statistics depend upon aggregate morphology. We apply our model to fit the experimental dose-incubation curves for distinct strains of scrapie, and explain logarithmic variation at high dose and deviations from logarithmic behavior at low dose. We use this to make testable predictions for infectivity time-course experiments.}, address = {Department of Physics, University of California, Davis, California, USA. kulkarni@physics.ucdavis.edu}, author = {Kulkarni, R. V. and Slepoy, A. and Singh, R. R. and Cox, D. L. and P\'{a}zm\'{a}ndi, F.}, citeulike-article-id = {920810}, citeulike-linkout-0 = {http://www.biophysj.org/cgi/content/abstract/85/2/707}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/12885622}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=12885622}, issn = {0006-3495}, journal = {Biophys J}, keywords = {dynamics, incubation, math, prion, ucdavis}, month = {August}, number = {2}, pages = {707--718}, posted-at = {2008-11-07 08:20:33}, priority = {2}, title = {Theoretical modeling of prion disease incubation.}, url = {http://www.biophysj.org/cgi/content/abstract/85/2/707}, volume = {85}, year = {2003} }

TY - JOUR ID - citeulike:920810 L3 - citeulike-article-id:920810 N2 - We apply a theoretical aggregation model to laboratory and epidemiological prion disease incubation time data. In our model, slow growth of misfolded protein aggregates from small initial seeds controls the latent or lag phase; aggregate fissioning and subsequent spreading leads to an exponential growth phase. Our model accounts for the striking reproducibility of incubation times for high dose inoculation of lab animals. In particular, low dose yields broad incubation time distributions, and increasing dose narrows distributions and yields sharply defined onset times. We also explore how incubation time statistics depend upon aggregate morphology. We apply our model to fit the experimental dose-incubation curves for distinct strains of scrapie, and explain logarithmic variation at high dose and deviations from logarithmic behavior at low dose. We use this to make testable predictions for infectivity time-course experiments. IS - 2 JF - Biophys J SN - 0006-3495 AD - Department of Physics, University of California, Davis, California, USA. kulkarni@physics.ucdavis.edu EP - 718 TI - Theoretical modeling of prion disease incubation. VL - 85 SP - 707 KW - dynamics KW - incubation KW - math KW - prion KW - ucdavis AU - Kulkarni, RV AU - Slepoy, A AU - Singh, RR AU - Cox, DL AU - Pázmándi, F PY - 2003/08// UR - http://www.biophysj.org/cgi/content/abstract/85/2/707 ER -