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Full-Text Articles in Medicine and Health Sciences

Use Of Irf-3 And/Or Irf-7 Knockout Mice To Study Viral Pathogenesis: Lessons From A Murine Retrovirus-Induced Aids Model, Megan A. O'Connor, William R. Green Dec 2013

Use Of Irf-3 And/Or Irf-7 Knockout Mice To Study Viral Pathogenesis: Lessons From A Murine Retrovirus-Induced Aids Model, Megan A. O'Connor, William R. Green

Dartmouth Scholarship

Interferon regulatory factor (IRF) regulation of the type I interferon response has not been extensively explored in murine retroviral infections. IRF-3(-/-) and select IRF-3/7(-/-) mice were resistant to LP-BM5-induced pathogenesis. However, further analyses strongly suggested that resistance could be attributed to strain 129-specific contamination of the known retrovirus resistance gene Fv1. Therefore, caution should be taken when interpreting phenotypes observed in these knockout mice, as strain 129-derived genetic polymorphisms may explain observed differences.


Net Reclassification Indices For Evaluating Risk Prediction Instruments: A Critical Review, Kathleen F. Kerr, Zheyu Wang, Holly Janes, Robyn Mcclelland, Bruce M. Psaty, Margaret S. Pepe Aug 2013

Net Reclassification Indices For Evaluating Risk Prediction Instruments: A Critical Review, Kathleen F. Kerr, Zheyu Wang, Holly Janes, Robyn Mcclelland, Bruce M. Psaty, Margaret S. Pepe

UW Biostatistics Working Paper Series

Background Net Reclassification Indices (NRI) have recently become popular statistics for measuring the prediction increment of new biomarkers.

Methods In this review, we examine the various types of NRI statistics and their correct interpretations. We evaluate the advantages and disadvantages of the NRI approach. For pre-defined risk categories, we relate NRI to existing measures of the prediction increment. We also consider statistical methodology for constructing confidence intervals for NRI statistics and evaluate the merits of NRI-based hypothesis testing.

Conclusions Investigators using NRI statistics should report them separately for events (cases) and nonevents (controls). When there are two risk categories, the …


International Health Care Issues And Services Identified While Mapping The Gerontological Nursing Literature, Marcia Henry, Marilia Antunez, Dorice Vieira, Kent Randell Apr 2013

International Health Care Issues And Services Identified While Mapping The Gerontological Nursing Literature, Marcia Henry, Marilia Antunez, Dorice Vieira, Kent Randell

Marilia Y. Antúnez

Bibliometric analysis of cited references; analyzed keywords, subject content, and authors to discern global issues of aging and collaborations of the articles published in three leading gerontological journals from 2008-2010.


Gpr30: A Novel Indicator Of Poor Survival For Endometrial Carcinoma, H. Smith, Kimberly Leslie, M. Singh, C. Qualls, C. Revankar, N. Joste, E. Prossnitz Feb 2013

Gpr30: A Novel Indicator Of Poor Survival For Endometrial Carcinoma, H. Smith, Kimberly Leslie, M. Singh, C. Qualls, C. Revankar, N. Joste, E. Prossnitz

Kimberly K. Leslie

OBJECTIVE: This study was undertaken to evaluate the relationship between GPR30, classical steroidal receptor expression, and clinical outcome in patients with endometrial carcinoma. STUDY DESIGN: Immunohistochemistry was used to investigate the expression of GPR30, estrogen, progesterone, epidermal growth factor receptors and Ki-67 in 47 consecutive consenting patients with endometrial carcinoma diagnosed between 1997 and 2001. Results were correlated with clinical and pathologic predictors of adverse outcome and survival. RESULTS: GPR30 correlated positively with epidermal growth factor receptor (P = .005), but negatively with progesterone (P = .05) receptor expression. GPR30 overexpression occurred more frequently in tumors with deep myometrial invasion, …


Estimation Of Hiv Incidence Using Multiple Biomakers, Ron Brookmeyer, Jacob Konikoff, Oliver Laeyendecker, Susan Eshleman Jan 2013

Estimation Of Hiv Incidence Using Multiple Biomakers, Ron Brookmeyer, Jacob Konikoff, Oliver Laeyendecker, Susan Eshleman

Ron Brookmeyer

The incidence of human immunodeficiency virus (HIV) is the rate at which new HIV infections occur in populations. The development of accurate, practical, and cost-effective approaches to estimation of HIV incidence is a priority among researchers in HIV surveillance because of limitations with existing methods. In this paper, we develop methods for estimating HIV incidence rates using multiple biomarkers in biological samples collected from a cross-sectional survey. An advantage of the method is that it does not require longitudinal follow-up of individuals. We use assays for BED, avidity, viral load, and CD4 cell count data from clade B samples collected …