4.5 Article

The genetic variants in calcium signaling related genes influence anti-tuberculosis drug induced liver injury A prospective study

Journal

MEDICINE
Volume 98, Issue 44, Pages -

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/MD.0000000000017821

Keywords

ATDILI; calcium signaling; genetic polymorphism; susceptibility

Funding

  1. National Science and Technology Major Project [2018ZX10715003-001]

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Although many genetic variants related to anti-tuberculosis drug induced liver injury (ATDILI) have been identified, the prediction and personalized treatment of ATDILI have failed to achieve, indicating there remains an area for further exploration. This study aimed to explore the influence of single nucleotide polymorphisms (SNPs) in Bradykinin receptor B2 (BDKRB2), Teneurin transmembrane protein 2 (TENM2), transforming growth factor beta 2 (TGFB2), and solute carrier family 2 member 13 (SLC2A13) on the risk of ATDILI. The subjects comprised 746 Chinese tuberculosis (TB) patients. Custom-by-design 2x48-Plex SNPscanTM kit was employed to genotype 28 selected SNPs. The associations of SNPs with ATDILI risk and clinical phenotypes were analyzed according to the distributions of allelic and genotypic frequencies and different genetic models. The odds ratio (OR) with corresponding 95% confidence interval (CI) was calculated. Among subjects with successfully genotyped, 107 participants suffered from ATDILI during follow-up. In BDKRB2, patients with rs79280755 G allele or rs117806152 C allele were more vulnerable to ATDILI (P-Bonferronicorrection=.002 and .03, respectively). Rs79280755 increased the risk of ATDILI significantly whether in additive (OR=3.218, 95% CI: 1.686-6.139, P-Bonferroni correction=.003) or dominant model (P-Bonferroni correction=.003), as well as rs117806152 (Additive model: P-Bonferroni (correction)=.05; dominant model: P-Bonferroni correction=.03). For TENM2, rs80003210 G allele contributed to the decreased risk of ATDILI (P-Bonferroni correction=.02), while rs2617972 A allele conferred susceptibility to ATDILI (P-Bonferroni correction=.01). Regarding rs2617972, significant findings were also observed in both additive (OR=3.203, 95% CI: 1.487-6.896, P-Bonferroni correction=.02) and dominant model (P-Bonferroni correction=.02). Moreover, rs79280755 and rs117806152 in BDKRB2 significantly affected some laboratory indicators. However, no meaningful SNPs were observed in TGFB2 and SLC2A13. Our study revealed that both BDKRB2 and TENM2 genetic polymorphisms were interrogated in relation to ATDILI susceptibility and some laboratory indicators in the Western Chinese Han population, shedding a new light on exploring novel biomarkers and targets for ATDILI.

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