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1.
Eur Respir J ; 38(1): 15-28, 2011 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-21349909

RESUMEN

The glutathione S-transferase (GST) enzymes catalyse the conjugation of xenobiotics to glutathione. Based on reports that inherited copy number variations (CNVs) modulate some GST gene expression levels, and that the small airway epithelium (SAE) and alveolar macrophages (AMs) are involved early in the pathogenesis of smoking-induced lung disease, we asked: do germline CNVs modulate GST expression levels in SAE and AMs? Microarrays were used to survey GST gene expression and determine CNVs genotypes in SAE and AMs obtained by bronchoscopy from current smokers and nonsmokers. 26% of subjects were null for both GSTM1 alleles, with reduced GSTM1 mRNA levels seen in both SAE and AMs. 30% of subjects had homozygous deletions of GSTT1, with reduced mRNA levels in both tissues. Interestingly, GSTT2B exhibited homozygous deletion in the blood of 27% of subjects and was not expressed in SAE in the remainder of subjects, but was expressed in AMs of heterozygotes and wild-type subjects, proportionate to genotype. These data show a germline CNV-mediated linear relationship of genotype with expression level, suggesting minimal compensation of gene expression levels in heterozygotes, consistent with GST polymorphisms playing a role in the risk of smoking-associated, xenobiotic-induced lung disease.


Asunto(s)
Dosificación de Gen , Regulación de la Expresión Génica , Glutatión Transferasa/genética , Pulmón/metabolismo , Adulto , Alelos , Femenino , Perfilación de la Expresión Génica , Genotipo , Homocigoto , Humanos , Masculino , Persona de Mediana Edad , Análisis de Secuencia por Matrices de Oligonucleótidos , Polimorfismo Genético
2.
Artículo en Inglés | MEDLINE | ID: mdl-11031525

RESUMEN

We study the problem of the detection of noise-induced precursors of periodic motion instabilities in stochastic dynamical systems. In particular, we concentrate on the period-doubling bifurcation. We have developed a statistical method to detect the onset of bifurcations and their precursors based on the previously established topological recurrence technique.

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