FM DECEMBER 2018 ISSUE - digital edition
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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>