Sharma Akash, Roy Sweta, Sharma Ruchika, Kumar Anoop
Department of Clinical Research, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India.
Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India.
J Med Virol. 2023 Mar;95(3):e28671. doi: 10.1002/jmv.28671.
Antiviral drugs are not known for drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome. The current study aims is to find out the association of antiviral drugs and their possible mechanism with DRESS. Data mining algorithms such as proportional reporting ratio that is, PRR (≥2) with associated χ value (>4), reporting odds ratio that is, ROR (≥2) with 95% confidence interval and case count (≥3) were calculated to identify a possible signal. Further, molecular docking studies were conducted to check the interaction of selected antiviral drugs with possible targets. The potential signal of DRESS was found to be associated with abacavir, acyclovir, ganciclovir, lamivudine, lopinavir, nevirapine, ribavirin, ritonavir, and zidovudine among all selected antiviral drugs. Further, subgroup analysis has also shown a potential signal in different age groups and gender. The sensitivity analysis results have shown a decrease in the strength of the signal, however, there was no significant impact on the outcome except for acyclovir. The docking results have indicated the possible involvement of human leukocyte antigen (HLA)B1502 and HLAB5801. The positive signal of DRESS was found with selected antiviral drugs except for acyclovir.
抗病毒药物与嗜酸性粒细胞增多和全身症状（DRESS）综合征的药物反应并不为人所知。本研究旨在找出抗病毒药物与其可能导致DRESS的机制之间的关联。通过计算数据挖掘算法，如比例报告比（即PRR≥2）及相关χ值（>4）、报告比值比（即ROR≥2）及95%置信区间和病例数（≥3）来识别可能的信号。此外，进行分子对接研究以检查所选抗病毒药物与可能靶点的相互作用。在所有选定的抗病毒药物中，发现DRESS的潜在信号与阿巴卡韦、阿昔洛韦、更昔洛韦、拉米夫定、洛匹那韦、奈韦拉平、利巴韦林、利托那韦和齐多夫定有关。此外，亚组分析也显示在不同年龄组和性别中存在潜在信号。敏感性分析结果显示信号强度有所下降，然而，除阿昔洛韦外，对结果没有显著影响。对接结果表明人类白细胞抗原（HLA）B1502和HLAB5801可能参与其中。除阿昔洛韦外，在所选抗病毒药物中发现了DRESS的阳性信号。
