Macías Yolanda, Gómez Tabales Javier, García-Martín Elena, Agúndez José A G
University Institute of Molecular Pathology Biomarkers, UEx, Cáceres; ARADyAL Instituto De Salud Carlos III, Spain.
Expert Opin Drug Metab Toxicol. 2020 Apr;16(4):319-332. doi: 10.1080/17425255.2020.1744563. Epub 2020 Mar 29.
: Several reports suggest a possible association between polymorphisms in the cytochrome P450 2C9 () gene and the risk for non-steroidal anti-inflammatory drug (NSAID)-related adverse gastrointestinal events, including gastrointestinal bleeding. Because findings were controversial, a systematic review and a meta-analysis of eligible studies on this putative association was conducted.: The authors have revised the relationship between polymorphisms and the risk of developing NSAID-related gastrointestinal bleeding, as well as other adverse gastrointestinal events, and performed meta-analyzes. The bias effect and potential sources of heterogeneity between studies was analyzed.: Individuals classified as poor metabolizers after genotyping (activity scores equal to 0 or 0.5) have an increased risk of developing NSAID-related gastrointestinal adverse events with an odds ratio (OR) = 1.86, ( = 0.004) and the OR for subjects with gastrointestinal bleeding is = 1.90, ( = 0.003). Gene-dose effect for variant alleles ( = 0.005 for all gastrointestinal adverse events, and = 0.0001 for bleeding patients) was observed. Also, there is an allele-specific effect in the association: is a poor risk predictor, whereas is a highly significant predictor of gastrointestinal adverse events ( = 0.006) and gastrointestinal bleeding ( = 0.0007).
有几份报告表明,细胞色素P450 2C9()基因的多态性与非甾体抗炎药(NSAID)相关的胃肠道不良事件风险之间可能存在关联,包括胃肠道出血。由于研究结果存在争议,因此对关于这种假定关联的符合条件的研究进行了系统评价和荟萃分析。作者修订了多态性与发生NSAID相关胃肠道出血以及其他胃肠道不良事件风险之间的关系,并进行了荟萃分析。分析了研究之间的偏倚效应和异质性的潜在来源。基因分型后被归类为慢代谢者的个体(活性评分等于0或0.5)发生NSAID相关胃肠道不良事件的风险增加,优势比(OR)=1.86,(P=0.004),而发生胃肠道出血的受试者的OR为=1.90,(P=0.003)。观察到变异等位基因的基因剂量效应(所有胃肠道不良事件的P=0.005,出血患者的P=0.0001)。此外,在这种关联中存在等位基因特异性效应:是不良风险预测因子,而对于胃肠道不良事件(P=0.006)和胃肠道出血(P=0.0007)是高度显著的预测因子。