Abstract

SettingAntituberculosis drug-induced hepatitis attributed to isoniazide (INH) is one of the most prevalent drug-induced liver injuries. INH is metabolized by hepatic N-acetyltransferase 2 (NAT2) to form hepatotoxins. AimTo evaluate whether polymorphism of the NAT2 gene was associated with antituberculosis drug-induced hepatotoxicity in Tunisian patients. MethodsA total of 66 patients with tuberculosis (TB) who received anti-TB treatment were followed prospectively. Their NAT2 genotype was determined using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). We identified three single nucleotide polymorphisms (SNPs); 481C to T (NAT2*5B), 590G to A (NAT2*6A) and 857G to A (NAT2*7B). Univariate analysis and logistic regression analysis were used to evaluate the risk factors of isoniazid-induced hepatitis. ResultsFourteen patients (21.2%) were diagnosed with anti-TB drug-induced hepatitis. None of the rapid acetylators-type patients have expressed serum aminotransferase elevation. Among patients with hepatotoxicity, slow acetylators-type patients had a higher risk of hepatotoxicity than intermediate acetylators (21.4% vs. 78.6%, P=0.01). Statistical analysis revealed that the frequency of a variant diplotypes, NAT2*5B/5B and NAT2*6A/6A, were significantly increased in TB patients with hepatotoxicity, compared with those without hepatotoxicity (P=0.01, odds ratio [OR]=7.6 and P=0.029, OR=15, respectively). By contrast, the frequency of the rapid acetylation NAT2*4 allele was significantly lower in TB patients with hepatotoxicity than those without hepatotoxicity (P=0.02, OR=0.18). Moreover, 590G/G genotype was associated with decreased hepatotoxicity (P=0.01); by contrast, homozygous point mutation at position 481 and 590 were associated with a higher risk of hepatotoxicity (P=0.01). ConclusionOur results suggest that the slow-acetylator status of NAT2 is risk factor for INH-induced hepatotoxicity. Moreover, diplotypes, NAT2*5B/5B, NAT2*6A/6A, 481T/T and 590A/A, are useful new biomarkers for predicting anti-TB drug-induced hepatotoxicity.

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