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FM DECEMBER 2018 ISSUE - digital edition

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column<br />

Can NextGeneration<br />

Sequencing help tackle HIV?<br />

No routine testing for ART-related drug resistance<br />

in low-income settings<br />

DR RAJANI KANTH<br />

VENGALA<br />

Writer is medical scientist<br />

and former director of<br />

SGRF, Bangalore<br />

Advances in nucleic acid sequencing<br />

have been taking place at a great<br />

pace since 2005, resulting in several<br />

novel Next Generation Sequencing (NGS)<br />

systems. Current NGS technology has a<br />

three-step approach, in which a DNA library<br />

is prepared, enriched and sequenced or<br />

identified. Adding bioinformatics tools to this<br />

data gives an immense power to detect and<br />

identify microbiomes which are hitherto not<br />

known. This enables identification of new<br />

viruses or mutations using metagenomics<br />

approaches. Continuous and dynamic<br />

development of NGS technology, coupled<br />

with metagenomics, will change the scope of<br />

the application of this technology, and enable<br />

identifying intraspecies changes within a<br />

given biospecimen. Present day diagnostics<br />

use a Sanger sequencing-based method<br />

for molecular detection, which is not very<br />

sensitive.<br />

For example, in case of Transmitted<br />

drug-resistance mutations (TDRM) of HIV-1<br />

infection, a comparative study of NGS and<br />

Sanger sequencing (Roy Moscona et al.,<br />

2017) was performed. It is well known that<br />

TDRM frequency may vary in the viral pool.<br />

It was noted that one could observe more<br />

non-synonymous amino acid substitutions<br />

and TDRM using NGS compared to the<br />

Sanger method. In the study, an overall<br />

TDRM prevalence of 8.8% was identified via<br />

Sanger method out of a reported prevalence<br />

of 10.1% in treatment-naïve individuals<br />

with NRTI as the most affected drug class.<br />

However, NGS was able to identify 31.3%<br />

of the patients, including those with very<br />

low HIV-1 viral load -- even below 5%. This<br />

suggests that NGS can truly identify viral<br />

populations with high genetic diversity and<br />

can evaluate at an early stage patients who<br />

may develop resistance in the long run.<br />

Another study (Casadellà et al., 2016) using<br />

an NGS platform found a K65R prevalence of<br />

nearly 70% in subjects developing virological<br />

failure in first-line antiretroviral therapy (ART)<br />

containing TDF (tenofovir), which was missed<br />

by Sanger sequencing.<br />

ART is provided in low- and middleincome<br />

countries (LMIC) as a public health<br />

approach and policy. This leads to HIV drug<br />

resistance. However, no regular testing for<br />

the drug resistance is done. The present drug<br />

resistance testing is primarily for surveying<br />

to inform national and regional ART. NGS can<br />

become the best-suited technology platform<br />

if it is used in centralized laboratories to<br />

reduce the cost. This approach can enable<br />

large population coverage and identify<br />

non-responders or patients who are yet to<br />

develop drug resistance.<br />

NGS is likely to soon become a very<br />

important cornerstone technology for<br />

improved capabilities in diagnosing HIV drug<br />

resistance. The clinical value, prevalence<br />

of certain mutations and genetic barriers<br />

in drug resistance can be best understood<br />

and evaluated using NGS. Ultrasensitive<br />

genotyping has been proven to improve<br />

ART outcome predictions in treatment<br />

naïve subjects who are about to start<br />

on nevirapine or efavirenz and CCR5<br />

antagonists. It has become very clear that if<br />

we are to tackle HIV global pandemic, the<br />

question of making NGS accessible to LMICs<br />

must be resolved. In the best case scenario<br />

-- in which global HIV-1 eradication is seen<br />

as a possibility -- reducing costs in library<br />

preparation and bioinformatic analysis will<br />

be a good place to start.<br />

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

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