439,111 research outputs found

    Mechanisms of CFTR Functional Variants That Impair Regulated Bicarbonate Permeation and Increase Risk for Pancreatitis but Not for Cystic Fibrosis

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    CFTR is a dynamically regulated anion channel. Intracellular WNK1-SPAK activation causes CFTR to change permeability and conductance characteristics from a chloride-preferring to bicarbonate-preferring channel through unknown mechanisms. Two severe CFTR mutations (CFTRsev) cause complete loss of CFTR function and result in cystic fibrosis (CF), a severe genetic disorder affecting sweat glands, nasal sinuses, lungs, pancreas, liver, intestines, and male reproductive system. We hypothesize that those CFTR mutations that disrupt the WNK1-SPAK activation mechanisms cause a selective, bicarbonate defect in channel function (CFTRBD) affecting organs that utilize CFTR for bicarbonate secretion (e.g. the pancreas, nasal sinus, vas deferens) but do not cause typical CF. To understand the structural and functional requirements of the CFTR bicarbonate-preferring channel, we (a) screened 984 well-phenotyped pancreatitis cases for candidate CFTRBD mutations from among 81 previously described CFTR variants; (b) conducted electrophysiology studies on clones of variants found in pancreatitis but not CF; (c) computationally constructed a new, complete structural model of CFTR for molecular dynamics simulation of wild-type and mutant variants; and (d) tested the newly defined CFTRBD variants for disease in non-pancreas organs utilizing CFTR for bicarbonate secretion. Nine variants (CFTR R74Q, R75Q, R117H, R170H, L967S, L997F, D1152H, S1235R, and D1270N) not associated with typical CF were associated with pancreatitis (OR 1.5, p = 0.002). Clones expressed in HEK 293T cells had normal chloride but not bicarbonate permeability and conductance with WNK1-SPAK activation. Molecular dynamics simulations suggest physical restriction of the CFTR channel and altered dynamic channel regulation. Comparing pancreatitis patients and controls, CFTRBD increased risk for rhinosinusitis (OR 2.3, p<0.005) and male infertility (OR 395, p<<0.0001). WNK1-SPAK pathway-activated increases in CFTR bicarbonate permeability are altered by CFTRBD variants through multiple mechanisms. CFTRBD variants are associated with clinically significant disorders of the pancreas, sinuses, and male reproductive system.Fil: LaRusch, Jessica. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Jung, Jinsei. Yonsei University College of Medicine; Corea del SurFil: General, Ignacio. University of Pittsburgh; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lewis, Michele D.. Mayo Clinic. Division of Gastroenterology and Hepatology; Estados UnidosFil: Park, Hyun Woo. Yonsei University College of Medicine; Corea del SurFil: Brand, Randall E.. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Gelrud, Andres. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Anderson, Michelle A.. University of Michigan; Estados UnidosFil: Banks, Peter A.. Brigham and Women’s Hospital. Division of Gastroenterology; Estados UnidosFil: Conwell, Darwin. Brigham and Women’s Hospital. Division of Gastroenterology; Estados UnidosFil: Lawrence, Christopher. Medical University of South Carolina; Estados UnidosFil: Romagnuolo, Joseph. Medical University of South Carolina; Estados UnidosFil: Baillie, John. University of Duke; Estados UnidosFil: Alkaade, Samer. St. Louis University. School of Medicine; Estados UnidosFil: Cote, Gregory. Indiana University; Estados UnidosFil: Gardner, Timothy B.. Dartmouth-Hitchcock Medical Center; Estados UnidosFil: Amann, Stephen T.. North Mississippi Medical Center; Estados UnidosFil: Slivka, Adam. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Sandhu, Bimaljit. Virginia Commonwealth University Medical Center; Estados UnidosFil: Aloe, Amy. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Kienholz, Michelle L.. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Yadav, Dhiraj. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Barmada, M. Michael. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Bahar, Ivet. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: Lee, Min Goo. Yonsei University College of Medicine; Corea del SurFil: Whitcomb, David C.. Univeristy of Pittsburgh. School of Medicine; Estados UnidosFil: North American Pancreatitis Study Group. No especifica

    Accurate Noise Projection for Reduced Stochastic Epidemic Models

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    We consider a stochastic Susceptible-Exposed-Infected-Recovered (SEIR) epidemiological model. Through the use of a normal form coordinate transform, we are able to analytically derive the stochastic center manifold along with the associated, reduced set of stochastic evolution equations. The transformation correctly projects both the dynamics and the noise onto the center manifold. Therefore, the solution of this reduced stochastic dynamical system yields excellent agreement, both in amplitude and phase, with the solution of the original stochastic system for a temporal scale that is orders of magnitude longer than the typical relaxation time. This new method allows for improved time series prediction of the number of infectious cases when modeling the spread of disease in a population. Numerical solutions of the fluctuations of the SEIR model are considered in the infinite population limit using a Langevin equation approach, as well as in a finite population simulated as a Markov process.Comment: 38 pages, 10 figures, new title, Final revision to appear in Chao

    Predicting unobserved exposures from seasonal epidemic data

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    We consider a stochastic Susceptible-Exposed-Infected-Recovered (SEIR) epidemiological model with a contact rate that fluctuates seasonally. Through the use of a nonlinear, stochastic projection, we are able to analytically determine the lower dimensional manifold on which the deterministic and stochastic dynamics correctly interact. Our method produces a low dimensional stochastic model that captures the same timing of disease outbreak and the same amplitude and phase of recurrent behavior seen in the high dimensional model. Given seasonal epidemic data consisting of the number of infectious individuals, our method enables a data-based model prediction of the number of unobserved exposed individuals over very long times.Comment: 24 pages, 6 figures; Final version in Bulletin of Mathematical Biolog

    Acetylcholine neuromodulation in normal and abnormal learning and memory: vigilance control in waking, sleep, autism, amnesia, and Alzheimer's disease

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    This article provides a unified mechanistic neural explanation of how learning, recognition, and cognition break down during Alzheimer's disease, medial temporal amnesia, and autism. It also clarifies whey there are often sleep disturbances during these disorders. A key mechanism is how acetylcholine modules vigilance control in cortical layer

    The complex relationship between weather and dengue virus transmission in Thailand.

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    Using a novel analytical approach, weather dynamics and seasonal dengue virus transmission cycles were profiled for each Thailand province, 1983-2001, using monthly assessments of cases, temperature, humidity, and rainfall. We observed systematic differences in the structure of seasonal transmission cycles of different magnitude, the role of weather in regulating seasonal cycles, necessary versus optimal transmission "weather-space," basis of large epidemics, and predictive indicators that estimate risk. Larger epidemics begin earlier, develop faster, and are predicted at Onset change-point when case counts are low. Temperature defines a viable range for transmission; humidity amplifies the potential within that range. This duality is central to transmission. Eighty percent of 1.2 million severe dengue cases occurred when mean temperature was 27-29.5°C and mean humidity was &gt; 75%. Interventions are most effective when applied early. Most cases occur near Peak, yet small reductions at Onset can substantially reduce epidemic magnitude. Monitoring the Quiet-Phase is fundamental in effectively targeting interventions pre-emptively
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