|
Basic Characteristics of Mutations
|
|
Mutation Site
|
K219K |
|
Mutation Site Sentence
|
Table 2. HIV-1 Drug Resistance mutations against nucleotide reverse transcriptase inhibitors (NRTI), non-nucleotide reverse transcriptase inhibitors (NNRTI) and protease inhibitors (PI) identified by the ATCC assay versus the ViroSeq assay for those individual patients harbouring drug resistance mutations. |
|
Mutation Level
|
Amino acid level |
|
Mutation Type
|
Synonymous substitution |
|
Gene/Protein/Region
|
RT |
|
Standardized Encoding Gene
|
gag-pol:155348
|
|
Genotype/Subtype
|
HIV-1 |
|
Viral Reference
|
-
|
|
Functional Impact and Mechanisms
|
|
Disease
|
HIV Infections
|
|
Immune
|
- |
|
Target Gene
|
-
|
|
Clinical and Epidemiological Correlations
|
|
Clinical Information
|
- |
|
Treatment
|
NRTIs |
|
Location
|
Nigeria |
|
Literature Information
|
|
PMID
|
29953436
|
|
Title
|
Genotyping performance evaluation of commercially available HIV-1 drug resistance test
|
|
Author
|
Rosemary A,Chika O,Jonathan O,Godwin I,Georgina O,Azuka O,Zaidat M,Philippe C,Oliver E,Oche A,David O,Jay S,Ibrahim D,Mukhtar A,Joshua D,Chunfu Y,Elliot R,Beth C,Phyllis K,Emmanuel I
|
|
Journal
|
PloS one
|
|
Journal Info
|
2018 Jun 28;13(6):e0198246
|
|
Abstract
|
BACKGROUND: ATCC HIV-1 drug resistance test kit was designed to detect HIV-1 drug resistance (HIVDR) mutations in the protease and reverse transcriptase genes for all HIV-1 group M subtypes and circulating recombinant forms. The test has been validated for both plasma and dried blood spot specimen types with viral load (VL) of >/=1000 copies/ml. We performed an in-country assessment on the kit to determine the genotyping sensitivity and its accuracy in detecting HIVDR mutations using plasma samples stored under suboptimal conditions. METHODS: Among 572 samples with VL >/=1000 copies/ml that had been genotyped by ViroSeq assay, 183 were randomly selected, including 85 successful genotyped and 98 unsuccessful genotyped samples. They were tested with ATCC kits following the manufacturer's instructions. Sequence identity and HIVDR patterns were analysed with Stanford University HIV Drug Resistance HIVdb program. RESULTS: Of the 183 samples, 127 (69.4%) were successfully genotyped by either method. While ViroSeq system genotyped 85/183 (46.5%) with median VL of 32,971 (IQR: 11,150-96,506) copies/ml, ATCC genotyped 115/183 (62.8%) samples with median VL of 23,068 (IQR: 7,397-86,086) copies/ml. Of the 98 unsuccessful genotyped samples with ViroSeq assay, 42 (42.9%) samples with lower median VL of 13,906 (IQR: 6,122-72,329) copies/ml were successfully genotyped using ATCC. Sequence identity analysis revealed that the sequences generated by both methods were >98% identical and yielded similar HIVDR profiles at individual patient level. CONCLUSION: This study confirms that ATCC kit showed greater sensitivity in genotyping plasma samples stored in suboptimal conditions experiencing frequent and prolonged power outage. Thus, it is more sensitive particularly for subtypes A and A/G HIV-1 in resource-limited settings.
|
|
Sequence Data
|
MF684461-MF684634
|
|
|