Gene expression profile in fibroblasts of Huntington's disease patients and controls

被引:28
作者
Marchina, Eleonora [1 ]
Misasi, Silvia [1 ]
Bozzato, Andrea [1 ]
Ferraboli, Sergio [1 ]
Agosti, Chiara [2 ]
Rozzini, Luca [2 ]
Borsani, Giuseppe [1 ]
Barlati, Sergio [1 ]
Padovani, Alessandro [2 ]
机构
[1] Univ Brescia, Div Biol & Genet, Dept Mol & Translat Med, I-25123 Brescia, Italy
[2] Univ Brescia, Div Neurol, Dept Clin & Expt Sci, I-25123 Brescia, Italy
关键词
Huntington's disease; Human fibroblasts; Gene expression profile; Biomarkers; Huntingtin; Neurodegeneration; PolyQ; CAG REPEAT; BETA-CATENIN; INSTABILITY; UBIQUITIN; DEGRADATION; MECHANISMS; BRAIN; PATHOGENESIS; AGGREGATION; INHIBITION;
D O I
10.1016/j.jns.2013.11.014
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Huntington's disease is an inherited disorder caused by expanded stretch of consecutive trinucleotides (cytosine-adenosine-guanine, CAG) within the first exon of the huntingtin (HIT) gene on chromosome 4 (p16.3). The mutated huntingtin (mHTT) gains toxic function, probably through mechanisms that involve aberrant interactions in several pathways, causing cytotoxicity. Pathophysiology of disease involves several tissues; indeed it has been shown that there is a broad toxic effect of mHTT in the peripheral tissue of patients with HD, not only in the central nervous system. In this study we compared gene expression profiles (GEP) of HD fibroblasts and matched controls using microarray technology. We used RT-PCR to test the consistency of the microarray data and we found four genes up-regulated in HD patients with respect to control individuals. The genes appear to be involved in different pathways that have been shown to be perturbed even in HD models and patients. Although our study is preliminary and has to be extended to a larger cohort of HD patients and controls, nevertheless it shows that gene expression profiles seem to be altered in the fibroblasts of HD patients. Validation of the differential expressions at the protein level is required to ascertain if this cell type can be considered a suitable model for the identification of HD biomarkers. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:42 / 46
页数:5
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