Publications by authors named "W E Hogancamp"

Previous studies illustrated the influence of T cell subsets on susceptibility or resistance to demyelination in the Theiler's murine encephalomyelitis virus (TMEV) model of multiple sclerosis. Genetic segregation analysis showed a correlation with disease phenotype in this model with particular V(beta) genes. In this study we investigated the contribution of specific V(beta) TCR to the pathogenesis of virus-induced demyelinating disease.

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Objectives: To evaluate the spectrum of neuromyelitis optica (NMO), including characteristics of the index events (optic neuritis [ON]) and myelitis), neuroimaging, CSF, and serologic studies, and to evaluate the long-term course.

Methods: Review of 71 patients with NMO evaluated at the Mayo Clinic between 1950 and 1997.

Results: NMO was either monophasic or relapsing.

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Multiple sclerosis (MS) is a complex genetic trait. Analyses to identify genetic variants that increase susceptibility to MS have primarily focused on candidate genes, either in family linkage investigations or in association (linkage disequilibrium) studies in sporadic cases and control subjects. Most of the candidate genes considered to date either influence immune function or encode structural myelin proteins.

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Although the cause of multiple sclerosis (MS) is unknown, epidemiologic studies support both genetic and environmental components of susceptibility. Reports of clusters, small "epidemics," geographic variation in prevalence, and alteration of MS susceptibility by migration support an environmental factor (or factors). The higher risk for MS in Europeans and in relatives of patients and the existence of MS-resistant ethnic groups support genetic predisposition.

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Breast cancer was induced in female Holtzman rats by intragastric administration of 7,12-dimethylbenz[a]antracene (DMBA). At tumor maturity, biopsies of viable tissue were obtained, frozen, and then assayed for estrogen, progesterone, and androgen receptor content. By simple linear regression analysis, progesterone receptor levels significantly correlated with both estrogen and androgen receptor levels, whereas estrogen and androgen receptor levels did not correlate with each other.

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