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HIVDR mutations are needed for proper<br />

management and ensuring optimal<br />

therapy to patients. As patients with<br />

acquired drug resistance are increasing,<br />

so are newly infected patients with<br />

transmitted drug resistance.<br />

This clearly suggests that the 21<br />

million people receiving ART are at<br />

risk as also the target of eliminating<br />

HIV as a public health threat by<br />

2030. More than 1 patient in 10 are<br />

becoming ART-resistant in low and<br />

middle income countries with respect<br />

to non-nucleoside reverse transcriptase<br />

inhibitors (NNRTIs). Pretreatment<br />

drug resistance is associated with<br />

an increased risk of virological<br />

failure, impaired immune recovery,<br />

accumulation of drug resistance,<br />

increased risk of treatment switches<br />

and death. WHO recommends a shift to<br />

alternative, non-NNRTI-based first-line<br />

ART (i.e., based on integrase inhibitors<br />

or protease inhibitors) or individualised<br />

pretreatment drug resistance testing to<br />

guide the choice of an appropriate<br />

first-line treatment. Additionally,<br />

continuous resistance surveillance<br />

is recommended as a part of the<br />

WHO Global Action Plan on HIV<br />

drug resistance. One technological<br />

breakthrough has led to the<br />

development of highly robust next<br />

generation sequencing (NGS)<br />

technologies with the ability to detect<br />

low-frequency, minority HIV variants at<br />

increasingly affordable prices.<br />

Importance of HIV-1 genotyping<br />

A recent case-control study nested<br />

within a prospective multicountry<br />

cohort by Seth C Inzaule et al (The<br />

Lancet HIV, http://dx.doi.org/10.1016/<br />

S2352-3018(18)30177-2), studied the<br />

International Antiviral Society (IAS)-<br />

USA mutation list or the Stanford HIV<br />

Drug Resistance Database (HIVDB)<br />

using Illumina MiSeq next-generation<br />

sequencing technology. They compared<br />

the conventional pretreatment drug<br />

resistance detection threshold of 20%<br />

or more for Sanger-based sequencing<br />

to diagnostic accuracy measurements<br />

and the odds of virological failure using<br />

PRETREATMENT DRUG<br />

RESISTANCE IS ASSOCIATED<br />

WITH AN INCREASED<br />

RISK OF VIROLOGICAL<br />

FAILURE, IMPAIRED IMMUNE<br />

RECOVERY, ACCUMULATION<br />

OF DRUG RESISTANCE<br />

conditional logistic regression for 1%,<br />

5% and 10%. A 12-month follow-up<br />

of 1896 participants suggested that<br />

virological failure had an odds ratio (OR)<br />

of 9.2 (95% CI 4·2–20·1) at a detection<br />

threshold of 20% or more, for patients<br />

with pretreatment resistance compared<br />

to without pretreatment drug resistance.<br />

Lowering the threshold to 10% resulted<br />

in an odds ratio of 6.8 (95% CI 3·3–13·9),<br />

5% to 7·6 (3·4–17·1) and 1% to 4·5<br />

(2·0–10·2). This suggests that lowering<br />

the threshold does improve the ability to<br />

identify at-risk participants, but a slight<br />

reduction of specificity from 98% to<br />

96% was observed. This suggests that<br />

in the era of ARTs, HIV-1 genotyping<br />

is very important for both clinical<br />

management and public health<br />

surveillance for anyone living with HIV-1<br />

anywhere in world.<br />

Detecting low-frequency mutations<br />

Ultrasensitive genotyping tests can<br />

improve the clinical evaluation and<br />

identification of low-frequency drug<br />

resistance mutations (LFDRM). LFDRMs, if<br />

detected robustly, can impact the efficacy<br />

of treatment protocols of ART and the<br />

outcomes. Furthermore, the level at<br />

which each drug resistance mutation is<br />

present in the virus population can play<br />

an important role. Several studies (Simen<br />

et al., 2009b, Li et al., 2011 and Cozzi-<br />

Lepri et al., 2015) evaluated the dosedependent<br />

association between LFDRMs<br />

and the risk of virological failure of<br />

first-line NMRTI therapy. The mutational<br />

load (ie., the mutant frequency multiplied<br />

by the total HIV-1 RNA levels) may be<br />

a better predictor of virological failure<br />

(Gupta et al 2014, Goodaman et al 2011).<br />

<strong>DECEMBER</strong> <strong>2018</strong> / FUTURE MEDICINE / 31

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