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Editorial

Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough

Division of Infectious Diseases, Alpert Medical School, Brown University, Providence, RI 02906, USA
Viruses 2021, 13(2), 340; https://doi.org/10.3390/v13020340
Submission received: 18 February 2021 / Accepted: 19 February 2021 / Published: 22 February 2021
(This article belongs to the Special Issue Next Generation Sequencing for HIV Drug Resistance Testing)
Drug resistance remains a global challenge in the fight against the HIV pandemic [1,2]. Where feasible, guidelines recommend testing for HIV drug resistance before initiation of and upon inadequate response to antiretroviral therapy in order to guide regimen selection [3,4]. Where less available, such testing is recommended only in specific populations and circumstances [5], and where even less accessible, it is recommended only for public health surveillance [6]. Sanger sequencing, available since the 1970s [7], has been the conventional technology used for HIV drug resistance testing [3,8]. Essential external quality assurance (EQA) strategies, needed to ensure reliable results of complex Sanger sequencing-based HIV drug resistance testing assays, have supported laboratories for decades [9,10,11,12]. More recently introduced next generation sequencing (NGS) technologies are increasingly used in diverse circumstances, including for HIV drug resistance testing [13,14]. Whether these technologies can and should replace Sanger sequencing for HIV drug resistance testing, and if so, in which settings and circumstances, is unclear. In that context, validated EQA strategies to support laboratories using NGS for HIV drug resistance testing are essential, due to more complex NGS-based methods, yet such strategies remain to be established. Developing such EQA strategies, as well as more standardized laboratory- and bioinformatics-related considerations, are important early steps towards widespread implementation of NGS for HIV drug resistance testing [15,16,17].
In February 2018, an international symposium on bioinformatic strategies for NGS-based HIV drug resistance testing was held in Winnipeg, Canada. Outcomes of the symposium included proposed standardizations of NGS data processing, quality control, and reporting and management strategies for HIV drug resistance testing. The intent was for these standardizations to serve as a starting guideline for NGS HIV drug resistance data processing that informs the refinement of existing pipelines and those yet to be developed [18].
In September 2019, the Second International Symposium on NGS HIV Drug Resistance was held in Winnipeg, Canada, to focus on EQA strategies for NGS-based HIV drug resistance testing. Symposium deliberations emphasized logistical and implementation needs and considerations, clarified existing gaps, and helped with the identification of public health and programmatic resolutions. This Special Issue was assembled and designed to allow symposium participants to highlight these discussions, and to enable readers to learn and think about this important topic and consider ways forward. This Editorial provides a brief walkthrough of the Special Issue’s 10 manuscripts, each of which stands on its own, yet they all address the theme of the aforementioned symposium and of the supplement. The overall design of this Special Issue includes an overview of the topic of NGS for HIV-1 drug resistance testing, lessons from the past and how they can guide us, special considerations, preliminary actual data, and logistical concerns towards the future.
Ji et al. [19] and Avila-Rios et al. [20] provide an overview to the theme of the Special Issue. Ji et al. introduce the Second Winnipeg Symposium and highlight existing technical and knowledge gaps related to the adoption of NGS for HIV-1 drug resistance testing in clinical care, public health, and research. Avila-Rios et al. then focus on laboratory, clinical, and implementation considerations and the need for standardization and quality assurance of NGS-based HIV-1 drug resistance genotyping. Both papers discuss potential sources of variation and bias in the general NGS workflow, with some focus on resource limited settings, and present the need for the establishment of EQA programs to address existing challenges.
The next group of manuscripts present lessons from the past and how they might impact our way forward when considering NGS for HIV-1 drug resistance testing. Jennings et al. [21] discuss challenges in applying experience earned from a Sanger-based EQA strategy within the National Institute of Allergy and Infectious Diseases (NIAID) Virology Quality Assurance (VQA) program towards NGS HIV-1 drug resistance assays, including already started initiatives. Lee et al. [22] then present unique requirements and challenges in conducting EQA for NGS-based HIV-1 drug resistance testing, and consider the differences such a program might mandate as compared to the conventional Sanger sequencing approach.
Special considerations relevant for using NGS to detect HIV-1 drug resistance mutations are discussed in the next group of manuscripts. Zhou et al. [23] focus on the important yet challenging accurate detection of minor drug-resistant variants in HIV-1 quasispecies, the potential for this error-prone process to confound interpretation, and existing ways to remove such errors. Capina et al. [24] then consider the importance of internal laboratory complex NGS quality control processes and how they might challenge conventional quality management operations. Finally, Noguera-Julian et al. [25] discuss ‘dry laboratory data panels’ (rather than ‘wet laboratory sample panels’) and how they can support EQA programs for NGS-based HIV-1 drug resistance testing. Such panels have been used for Sanger sequencing, and are needed, considering that bioinformatic analyses remain an important bottleneck that should be addressed, particularly with the more complex NGS data interpretation process.
The next two manuscripts in this Special Issue present initial data from actual use of an NGS EQA program. Becker et al. [26] discuss performance assessment criteria for NGS-based HIV-1 drug resistance assays and propose a new validation, evaluation, and standardization system that could be used for accreditation and quality assurance purposes. Then Parkin et al. [27] describe a preliminary multi-laboratory comparison of NGS to Sanger sequencing for HIV-1 drug resistance testing, with close attention to the detection of minority drug-resistance variants.
In the final manuscript of the Special Issue, Ji et al. [28] summarize the last session of the symposium, and discuss logistical considerations, which may inform the development of an EQA program for NGS HIV-1 drug resistance testing.
Taken together, I hope that the contents of the Special Issue will contribute to the continued imperative discussion on if and how NGS should be incorporated into HIV-1 drug resistance testing for clinical care, research, and public health, and the unique role of a dedicated EQA program in this process. A ‘consensus’ to address such questions is currently lacking, however, this conversation is valuable and essential towards planning the next steps and establishing EQA programs to support such steps.
Finally, I would like to thank all of the authors, reviewers, editors, and Viruses personnel who made this Special Issue possible. Special thanks go to the Organizing Committee of the Second International Winnipeg Symposium on NGS HIV-1 Drug Resistance, headed by Drs. Hezhao Ji and Paul Sandstrom.

Funding

This research was funded in part by the National Institutes of Health, supported in part by R01AI147333, R01AI136058, R01AI120792, K24AI134359, and P30AI042853.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Beyrer, C.; Pozniak, A. HIV Drug Resistance—An Emerging Threat to Epidemic Control. N. Engl. J. Med. 2017, 377, 1605–1607. [Google Scholar] [CrossRef]
  2. WHO. HIV Drug Resistance Report. Available online: https://www.who.int/hiv/pub/drugresistance/hivdr-report-2019/en/ (accessed on 15 February 2021).
  3. DHHS. Guidelines for the Use of Antiretroviral Agents in HIV-1 Infected Adults and Adolescents. Available online: http://aidsinfo.nih.gov/contentfiles/lvguidelines/AdultandAdolescentGL.pdf (accessed on 15 February 2021).
  4. Saag, M.S.; Gandhi, R.T.; Hoy, J.F.; Landovitz, R.J.; Thompson, M.A.; Sax, P.E.; Smith, D.M.; Benson, C.A.; Buchbinder, S.P.; Del Rio, C.; et al. Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults: 2020 Recommendations of the International Antiviral Society-USA Panel. JAMA 2020, 324, 1651–1669. [Google Scholar] [CrossRef]
  5. WHO. Updated Recommendations on First-Line and Second-Line Antiretroviral Regimens and Post-Exposure Prophylaxis and Recommendations on Early Infant Diagnosis of HIV. Available online: https://www.who.int/publications/i/item/WHO-CDS-HIV-18.51 (accessed on 15 February 2021).
  6. WHO. Guidelines on the Public Health Response to Pretreatment HIV Drug Resistance. 2017. Available online: http://apps.who.int/iris/handle/10665/255880 (accessed on 15 February 2021).
  7. Sanger, F.; Nicklen, S.; Coulson, A.R. DNA sequencing with chain-terminating inhibitors. Proc. Natl. Acad. Sci. USA 1977, 74, 5463–5467. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Wensing, A.M.; Calvez, V.; Ceccherini-Silberstein, F.; Charpentier, C.; Gunthard, H.F.; Paredes, R.; Shafer, R.W.; Richman, D.D. Update of the drug resistance mutations in HIV-1. Top. Antivir. Med. 2019, 27, 111–121. [Google Scholar]
  9. Parkin, N.; Bremer, J.; Bertagnolio, S. Genotyping external quality assurance in the World Health Organization HIV drug resistance laboratory network during 2007–2010. Clin. Infect. Dis. 2012, 54 (Suppl. 4), S266–S272. [Google Scholar] [CrossRef] [Green Version]
  10. Pandit, A.; Mackay, W.G.; Steel, C.; van Loon, A.M.; Schuurman, R. HIV-1 drug resistance genotyping quality assessment: Results of the ENVA7 Genotyping Proficiency Programme. J. Clin. Virol. 2008, 43, 401–406. [Google Scholar] [CrossRef]
  11. Land, S.; Cunningham, P.; Zhou, J.; Frost, K.; Katzenstein, D.; Kantor, R.; Chen, Y.M.; Oka, S.; De Long, A.; Sayer, D.; et al. TREAT Asia Quality Assessment Scheme (TAQAS) to standardize the outcome of HIV genotypic resistance testing in a group of Asian laboratories. J. Virol. Methods 2009, 159, 185–193. [Google Scholar] [CrossRef] [Green Version]
  12. Yoshida, S.; Hattori, J.; Matsuda, M.; Okada, K.; Kazuyama, Y.; Hashimoto, O.; Ibe, S.; Fujisawa, S.; Chiba, H.; Tatsumi, M.; et al. Japanese external quality assessment program to standardize HIV-1 drug-resistance testing (JEQS2010 program) using in vitro transcribed RNA as reference material. AIDS Res. Hum. Retrovir. 2015, 31, 318–325. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Metzker, M.L. Emerging technologies in DNA sequencing. Genome Res. 2005, 15, 1767–1776. [Google Scholar] [CrossRef] [Green Version]
  14. Wang, C.; Mitsuya, Y.; Gharizadeh, B.; Ronaghi, M.; Shafer, R.W. Characterization of mutation spectra with ultra-deep pyrosequencing: Application to HIV-1 drug resistance. Genome Res. 2007, 17, 1195–1201. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Delong, A.K.; Wu, M.; Bennett, D.; Parkin, N.; Wu, Z.; Hogan, J.W.; Kantor, R. Sequence quality analysis tool for HIV type 1 protease and reverse rranscriptase. AIDS Res. Hum. Retrovir. 2012, 28, 894–901. [Google Scholar] [CrossRef] [Green Version]
  16. Woods, C.K.; Brumme, C.J.; Liu, T.F.; Chui, C.K.; Chu, A.L.; Wynhoven, B.; Hall, T.A.; Trevino, C.; Shafer, R.W.; Harrigan, P.R. Automating HIV drug resistance genotyping with RECall, a freely accessible sequence analysis tool. J. Clin. Microbiol. 2012, 50, 1936–1942. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Noguera-Julian, M.; Edgil, D.; Harrigan, P.R.; Sandstrom, P.; Godfrey, C.; Paredes, R. Next-Generation Human Immunodeficiency Virus Sequencing for Patient Management and Drug Resistance Surveillance. J. Infect. Dis. 2017, 216 (Suppl. 9), S829–S833. [Google Scholar] [CrossRef]
  18. Ji, H.; Enns, E.; Brumme, C.J.; Parkin, N.; Howison, M.; Lee, E.R.; Capina, R.; Marinier, E.; Avila-Rios, S.; Sandstrom, P.; et al. Bioinformatic data processing pipelines in support of next-generation sequencing-based HIV drug resistance testing: The Winnipeg Consensus. J. Int. AIDS Soc. 2018, 21, e25193. [Google Scholar] [CrossRef] [Green Version]
  19. Ji, H.; Sandstrom, P.; Paredes, R.; Harrigan, P.R.; Brumme, C.J.; Rios, S.A.; Noguera-Julian, M.; Parkin, N.; Kantor, R. Are We Ready for NGS HIV Drug Resistance Testing? The Second “Winnipeg Consensus” Symposium. Viruses 2020, 12, 586. [Google Scholar] [CrossRef] [PubMed]
  20. Avila-Rios, S.; Parkin, N.; Swanstrom, R.; Paredes, R.; Shafer, R.; Ji, H.; Kantor, R. Next-Generation Sequencing for HIV Drug Resistance Testing: Laboratory, Clinical, and Implementation Considerations. Viruses 2020, 12, 617. [Google Scholar] [CrossRef]
  21. Jennings, C.; Parkin, N.T.; Zaccaro, D.J.; Capina, R.; Sandstrom, P.; Ji, H.; Brambilla, D.J.; Bremer, J.W. Application of a Sanger-Based External Quality Assurance Strategy for the Transition of HIV-1 Drug Resistance Assays to Next Generation Sequencing. Viruses 2020, 12, 1456. [Google Scholar] [CrossRef]
  22. Lee, E.R.; Gao, F.; Sandstrom, P.; Ji, H. External Quality Assessment for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Unique Requirements and Challenges. Viruses 2020, 12, 550. [Google Scholar] [CrossRef] [PubMed]
  23. Zhou, S.; Swanstrom, R. Fact and Fiction about 1%: Next Generation Sequencing and the Detection of Minor Drug Resistant Variants in HIV-1 Populations with and without Unique Molecular Identifiers. Viruses 2020, 12, 850. [Google Scholar] [CrossRef]
  24. Capina, R.; Li, K.; Kearney, L.; Vandamme, A.M.; Harrigan, P.R.; Van Laethem, K. Quality Control of Next-Generation Sequencing-Based HIV-1 Drug Resistance Data in Clinical Laboratory Information Systems Framework. Viruses 2020, 12, 6. [Google Scholar] [CrossRef]
  25. Noguera-Julian, M.; Lee, E.R.; Shafer, R.W.; Kantor, R.; Ji, H. Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing. Viruses 2020, 12, 666. [Google Scholar] [CrossRef] [PubMed]
  26. Becker, M.G.; Liang, D.; Cooper, B.; Le, Y.; Taylor, T.; Lee, E.R.; Wu, S.; Sandstrom, P.; Ji, H. Development and Application of Performance Assessment Criteria for Next-Generation Sequencing-Based HIV Drug Resistance Assays. Viruses 2020, 12, 6. [Google Scholar] [CrossRef] [PubMed]
  27. Parkin, N.T.; Avila-Rios, S.; Bibby, D.F.; Brumme, C.J.; Eshleman, S.H.; Harrigan, P.R.; Howison, M.; Hunt, G.; Ji, H.; Kantor, R.; et al. Multi-Laboratory Comparison of Next-Generation to Sanger-Based Sequencing for HIV-1 Drug Resistance Genotyping. Viruses 2020, 12, 694. [Google Scholar] [CrossRef] [PubMed]
  28. Ji, H.; Parkin, N.; Gao, F.; Denny, T.; Jennings, C.; Sandstrom, P.; Kantor, R. External Quality Assessment Program for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Logistical Considerations. Viruses 2020, 12, 556. [Google Scholar] [CrossRef] [PubMed]
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Kantor, R. Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough. Viruses 2021, 13, 340. https://doi.org/10.3390/v13020340

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Kantor R. Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough. Viruses. 2021; 13(2):340. https://doi.org/10.3390/v13020340

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Kantor, Rami. 2021. "Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough" Viruses 13, no. 2: 340. https://doi.org/10.3390/v13020340

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Kantor, R. (2021). Next Generation Sequencing for HIV-1 Drug Resistance Testing—A Special Issue Walkthrough. Viruses, 13(2), 340. https://doi.org/10.3390/v13020340

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