Coupling genotyping and computational modeling in prediction of antiepileptic drugs that cause Stevens Johnson syndrome and toxic epidermal Necrolysis for carrier of HLA-B*15:02

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Abstract

Purpose. The importance of HLA-B*15:02 genotyping to avoid carbamazepine induced SJS/TEN and molecular modeling to predict the role of HLA-B*15:0 and AEDs induced SJS/TEN are investigated. Methods. DNA was extracted from eighty-six patients. The patients were genotyped by AS-PCR. Computational modeling of the HLA-B*15:02 followed by docking studies were performed to screen 26 AEDs that may induce ADR among HLA-B*15:02 carriers. Results. Odd ratio for CBZ induced SJS/TEN and HLAB* 15:02 was 609.0 (95% CI: 23-15873; p=0.0002). Molecular modeling studies showed that acetazolamide, ethosuxiamide, lamotrigine, oxcarbazepine, phenobarbital, phenytoin, primidone and sodium-valproate may induce ADR in HLA-B*15:02 carriers alike CBZ. Conclusion. We confirmed HLA-B*15:02 as a predictor of SJS/TEN and recommend pre-screening. Computational prediction of DIHR is useful in personalized medicine.

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Teh, L. K., Selvaraj, M., Bannur, Z., Ismail, M. I. M., Rafia, M. H., Law, W. C., … Salleh, M. Z. (2016). Coupling genotyping and computational modeling in prediction of antiepileptic drugs that cause Stevens Johnson syndrome and toxic epidermal Necrolysis for carrier of HLA-B*15:02. Journal of Pharmacy and Pharmaceutical Sciences, 19(1), 147–160. https://doi.org/10.18433/J38G7X

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