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Biomedical subjects

Danh Nguyen

Publications and source records attributed to Danh Nguyen.

2 recordsLinked to original sources

Neuropathic features in fragile X premutation carriers.

Fragile X-associated tremor/ataxia syndrome (FXTAS) is a progressive neurological condition occurring in fragile X premutation carriers, predominantly males, and resulting in CNS dysfunction including tremor, ataxia, Parkinsonism, and cognitive decline. Neuropathic signs have also been described. The objective of this study was to compare neuropathic signs in fragile X premutation carriers versus controls and determine the relationship of these signs to CGG repeat length and tremor/ataxia. A neuropathy scale was utilized to compare distal tendon reflexes and vibration sense in subjects from a large cohort of carriers and controls undergoing neurological exam and structured videotaping sessions for movement disorder rating. The male carrier group displayed more impairment on total neuropathy, vibration and reflex scores than the corresponding control group, while female carriers were not significantly different from controls. In males, after correction for age effects, there was a correlation between CGG repeat length and both total neuropathy and reflex impairments. Age-adjusted partial correlation analyses showed an association between neuropathy scores and severity of ataxia but not tremor in carrier males and females. These data suggest that neuropathic signs are associated with the fragile X premutation, presumably occurring through the same mechanism proposed for CNS disease, namely, toxicity from expanded-CGG-repeat FMR1 mRNA.

Female↗

Noise factor analysis for cDNA microarrays.

A microarray-image model is used that takes into account many factors, including spot morphology, signal strength, background fluorescent noise, and shape and surface degradation. The model yields synthetic images whose appearance and quality reflect that of real microarray images. The model is used to link noise factors to the fidelity of signal extraction with respect to a standard image-extraction algorithm. Of particular interest is the identification of the noise factors and their interactions that significantly degrade the ability to accurately detect the true gene-expression signal. This study uses statistical criteria in conjunction with the simulation of various noise conditions to better understand the noise influence on signal extraction for cDNA microarray images. It proposes a paradigm that is implemented in software. It specifically considers certain kinds of noise in the noise model and sets these at certain levels; however, one can choose other types of noise or use different noise levels. In sum, it develops a statistical package that can work in conjunction with the existing image simulation toolbox.

Algorithms↗