SIMPLIFYING CELIAC DISEASE PREDISPOSING HLA-DQ ALLELES DETERMINATION BY THE REAL TIME PCR METHOD
Autor: | Nicole SELLESKI, Lucas Malta ALMEIDA, Fernanda Coutinho de ALMEIDA, Lenora GANDOLFI, Riccardo PRATESI, Yanna Karla de Medeiros NÓBREGA |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: | |
Zdroj: | Arquivos de Gastroenterologia, Vol 52, Iss 2, Pp 143-146 (2015) |
Druh dokumentu: | article |
ISSN: | 1678-4219 0004-2803 |
DOI: | 10.1590/S0004-28032015000200013 |
Popis: | Background Celiac disease is an autoimmune enteropathy triggered by the ingestion of gluten in genetically susceptible individuals. Genetic susceptibility is associated with two sets of alleles, DQA1*05 - DQB1*02 and DQA1*03 - DQB1*03:02, which code for class II MHC DQ2 and DQ8 molecules, respectively. Approximately 90%-95% of celiac patients are HLA-DQ2 positive, and half of the remaining patients are HLA-DQ8 positive. In fact, during a celiac disease diagnostic workup, the absence of these specific DQA and DQB alleles has a near perfect negative predictive value. Objective Improve the detection of celiac disease predisposing alleles by combining the simplicity and sensitivity of real-time PCR (qPCR) and melting curve analysis with the specificity of sequence-specific primers (SSP). Methods Amplifications of sequence-specific primers for DQA1*05 (DQ2), DQB1*02 (DQ2), and DQA1*03 (DQ8) were performed by the real time PCR method to determine the presence of each allele in independent reactions. Primers for Human Growth Hormone were used as an internal control. A parallel PCR-SSP protocol was used as a reference method to validate our results. Results Both techniques yielded equal results. From a total of 329 samples the presence of HLA predisposing alleles was determined in 187 (56.8%). One hundred fourteen samples (61%) were positive for a single allele, 68 (36.3%) for two alleles, and only 5 (2.7%) for three alleles. Conclusion Results obtained by qPCR technique were highly reliable with no discordant results when compared with those obtained using PCR-SSP. |
Databáze: | Directory of Open Access Journals |
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