Literature DB >> 27377479

Rapid identification of the NAT2 genotype in tuberculosis patients by multicolor melting curve analysis.

Yanjie Hu1, Suting Chen1, Xia Yu1, Guangming Dai1, Lingling Dong1, Yunxu Li1, Liping Zhao1, Hairong Huang1.   

Abstract

AIM: NAT2 genotype is an indicator for isoniazid dosage adjusting for tuberculosis treatment. Multicolor melting curve analysis (MMCA) was evaluated as a potential method for NAT2 genotyping. MATERIALS &
METHODS: 352 blood samples were analyzed by MMCA kit (Zeesan Biotech Co., Xiamen, China) targeting NAT2 SNPs at T341C, C481T, G590A and G857A, and direct sequencing was used as control.
RESULTS: The sensitivity, specificity and accuracy of the MMCA assay for rapid NAT2 genotype detection were 97.9, 99.6 and 99.1% respectively, whereas for intermediate genotypes the values were 99.5, 98.7 and 99.1%, respectively, and for slow genotypes the values were 100% for the three aspects. The 24 saliva and blood for the control samples were also successfully analyzed using the MMCA assay, both produced uniform outcomes.
CONCLUSION: The MMCA assay described in our study is very promising for the efficient determination of NAT2 genotype, and can facilitate the personalized dosing of isoniazid.

Entities:  

Keywords:  NAT2; acetylator genotype; multicolor melting curve analysis

Mesh:

Substances:

Year:  2016        PMID: 27377479     DOI: 10.2217/pgs-2016-0026

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  2 in total

1.  Population Pharmacokinetic Analysis of Isoniazid among Pulmonary Tuberculosis Patients from China.

Authors:  Wei Jing; Zhaojing Zong; Bohao Tang; Jing Wang; Tingting Zhang; Shu'an Wen; Yi Xue; Naihui Chu; Wei Zhao; Hairong Huang
Journal:  Antimicrob Agents Chemother       Date:  2020-02-21       Impact factor: 5.191

2.  Effect of interval between food intake and drug administration at fasting condition on the plasma concentrations of first-line anti-tuberculosis drugs in Chinese population.

Authors:  Jun Wang; Jing Wang; Yadong Du; Ru Guo; Xiqin Han; Qingfeng Wang; Yu Pang; Naihui Chu
Journal:  Medicine (Baltimore)       Date:  2020-10-30       Impact factor: 1.817

  2 in total

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