Chan Sze Ling, Chua Angeline Poh Gek, Aminkeng Folefac, Chee Cynthia Bin Eng, Jin Shengnan, Loh Marie, Gan Suay Hong, Wang Yee Tang, Brunham Liam R
Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research, Singapore and the National University of Singapore, Singapore.
Department of Respiratory Medicine, Tan Tock Seng Hospital, Singapore.
PLoS One. 2017 Oct 16;12(10):e0186200. doi: 10.1371/journal.pone.0186200. eCollection 2017.
Isoniazid (INH) is part of the first-line-therapy for tuberculosis (TB) but can cause drug-induced liver injury (DILI). Several candidate single nucleotide polymorphisms (SNPs) have been previously identified but the clinical utility of these SNPs in the prediction of INH-DILI remains uncertain. The aim of this study was to assess the association between selected candidate SNPs and the risk of INH-DILI and to assess the clinical validity of associated variants in a Singaporean population.
This was a case-control study where 24 INH-DILI cases and 79 controls were recruited from the TB control unit in a tertiary hospital. Logistic regression was used to test for the association between candidate SNPs and INH-DILI. NAT2 acetylator status was inferred from genotypes and tested for association with INH-DILI. Finally, clinical validity measures were estimated for significant variants.
Two SNPs in NAT2 (rs1041983 and rs1495741) and NAT2 slow acetylators (SA) were significantly associated with INH-DILI (OR (95% CI) = 13.86 (4.30-44.70), 0.10 (0.03-0.33) and 9.98 (3.32-33.80), respectively). Based on an INH-DILI prevalence of 10%, the sensitivity, specificity, positive and negative predictive values of NAT2 SA were 75%, 78%, 28% and 97%, respectively. The population attributable fraction (PAF) and number needed to test (NNT) for NAT2 SA were estimated to be 0.67 and 4.08, respectively. A model with clinical and NAT2 acetylator status provided significantly better prediction for INH-DILI than a clinical model alone (area under receiver operating characteristic curve = 0.863 vs. 0.766, respectively, p = 0.027).
We show the association between NAT2 SA and INH-DILI in a Singaporean population and demonstrated its clinical utility in the prediction of INH-DILI.
异烟肼(INH)是结核病(TB)一线治疗方案的一部分,但可导致药物性肝损伤(DILI)。此前已鉴定出多个候选单核苷酸多态性(SNP),但这些SNP在预测INH-DILI方面的临床效用仍不确定。本研究旨在评估所选候选SNP与INH-DILI风险之间的关联,并评估相关变异在新加坡人群中的临床有效性。
这是一项病例对照研究,从一家三级医院的结核病控制单位招募了24例INH-DILI病例和79例对照。采用逻辑回归检验候选SNP与INH-DILI之间的关联。从基因型推断NAT2乙酰化状态,并检验其与INH-DILI的关联。最后,对显著变异的临床有效性指标进行估计。
NAT2中的两个SNP(rs1041983和rs1495741)以及NAT2慢乙酰化者(SA)与INH-DILI显著相关(OR(95%CI)分别为13.86(4.30 - 44.70)、0.10(0.03 - 0.33)和9.98(3.32 - 33.80))。基于10%的INH-DILI患病率,NAT2 SA的敏感性、特异性、阳性和阴性预测值分别为75%、78%、28%和97%。NAT2 SA的人群归因分数(PAF)和需检测数(NNT)估计分别为0.67和4.08。与仅使用临床模型相比,包含临床和NAT2乙酰化状态的模型对INH-DILI的预测显著更好(受试者工作特征曲线下面积分别为0.863和0.766,p = 0.027)。
我们在新加坡人群中显示了NAT2 SA与INH-DILI之间的关联,并证明了其在预测INH-DILI方面的临床效用。