MODERN METHODS FOR DETECTING CASES OF RECENT HUMAN IMMUNODEFICIENCY VIRUS INFECTION


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详细

Assessment of the incidence of HIV infection among the population is an important tool to estimate the rate of epidemic development and to reliably monitor the effectiveness of preventive and therapeutic measures. The detection of recent HIV infection cases is crucial for this parameter. Standard diagnostic test systems cannot determine the duration of the disease; therefore work is underway for a long time to develop new tests that allow for evaluation of cases of the infection, by defining the approximate infectious periods. None of the known methods can individually determine the duration of the infection with sufficient accuracy. The existing tests can be combined into a holistic algorithm, thereby increasing the overall accuracy and sensitivity of the approach to detecting cases of early infection. The paper describes the currently known approaches to identifying cases of recent infection and determining the probable timing of infection, as well as the advantages and disadvantages of the existing methods.

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作者简介

Anastasia MURZAKOVA

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: murzakova_a.v@mail.ru
Researcher, Research Group for Development of New Methods for Diagnosing HIV infection and Viral Hepatitis Moscow, Russia

Dmitry KIREEV

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: dmitkireev@yandex.ru
Cand. Biol. Med., Head, Research Group for Development of New Methods for Diagnosing HIV infection and Viral Hepatitis Moscow, Russia

参考

  1. Technical update on HIV incidence assays for surveillance and monitoring purposes. Geneva: World Health Organization (WHO), UNAIDS; 2015.
  2. Guidelines on monitoring the impact of the HIV epidemic using population-based surveys. Geneva: World Health Organization (WHO), UNAIDS; 2015.
  3. UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance. When and how to use assays for recent infection to estimate HIV incidence at a population level. Geneva: World Health Organization (WHO), UNAIDS; 2011.
  4. WHO Technical Working Group on HIV Incidence Assays: Meeting Report, 2009.
  5. WHO/UNAIDS annual meeting of the Technical Working Group on HIV Incidence Assays. 13-15 October 2014, Barcelona, Spain. Geneva: World Health Organization, 2015.
  6. Global HIV strategic information working group. Recent infection testing algorithm technical update. Applications for HIV surveillance and programme monitoring, Geneva: World Health Organization (WHO), UNAIDS; 2018.
  7. Fiebig E.W., Wright D.J., Rawal B.D., Garrett P.E., Schumacher R.T., Peddada L. et al. Dynamics of HIV viremia and antibody seroconversion in plasma donors: implications for diagnosis and staging of primary HIV infection. AIDS 2003; 17(13): 1871-9. doi: 10.1097/00002030-200309050-00005
  8. Cohen M.S., Gay C.L., Busch M.P., Hecht F.M. The detection of acute HIV infection. J. Infect. Dis. 2010; 202: 270-7. doi: 10.1086/655651
  9. Smoleh-Dzirba J., Wąsik T.J. Current and future assays for identifying recent HIV infections at the population level. Med. Sci. Monit. 2011; 17(5): RA124-133. doi: 10.12659/msm.881757
  10. Murphy G., Parry J.V. Assays for the detection of recent infections with human immunodeficiency virus type 1. Euro Surveill. 2008; 13(36): 4-10.
  11. Moyo S., Wilkinson E., Novitsky V., Vandormael A., Gaseitsiwe S., Essex M. et al. Identifying Recent HIV Infections: From Serological Assays to Genomics. Viruses 2015; (7): 5508-24. doi: 10.3390/v7102887
  12. Kassanjee R., Pilcher C.D., Busch M.P., Murphy G., Facente S.N., Keating S.M. et al. Viral load criteria and threshold optimization to improve HIV incidence assay characteristics. AIDS 2016; 15(30): 2361-71. DOI: 10.1097/ QAD.0000000000001209
  13. Robinson E., Moran J., O’Donnell K., Hassan J., Tuite H., Ennis O. et al. Integration of a recent infection testing algorithm into HIV surveillance in Ireland: improving HIV knowledge to target prevention. Epidemiology and Infection 2019; 147(e136): 1-7. DOI: https://doi.org/10.1017/ S0950268819000244
  14. Janssen R.S., Satten G.A., Stramer S.L., Rawal B.D., O’Brien T.R., Weiblen B.J. et al. New testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes. JAMA 1998; 280(1): 42-8. doi: 10.1001/jama.280.1.42
  15. Suligoi B, Galli C, Massi M., Di Sora F., Sciandra M., Pezzotti P. et al. Precision and accuracy of a procedure for detecting recent human immunodeficiency virus infections by calculating the antibody avidity index by an automated immunoassay-based method. J. Clin. Microbiol. 2002; 40: 4015-20. doi: 10.1128/jcm.40.11.4015-4020.2002
  16. Grebe E., Welte A., Hall J., Keating S.M., Facente S.N., Marson K. et al. Infection staging and incidence surveillance applications of high dynamic range diagnostic immunoassay platforms. AIDS 2017; 76(5): 547-55. DOI: 10.1097/ QAI.0000000000001537
  17. Parekh B.S., Kennedy M.S., Dobbs T., Pau C.-P., Byers R., Green T. et al. Quantitative detection of increasing HIV type 1 antibodies after seroconversion: a simple assay for detecting recent HIV infection and estimating incidence. AIDS Res. Hum. Retroviruses 2002; 18: 295-307. doi: 10.1089/088922202753472874
  18. Загрядская Ю.Е., Нешумаев Д.А., Кокотюха Ю.А., Мейрманова Е.М., Ольховский И.А., Пузырев В.Ф., Бурков А.Н., Уланова Т.И. Оценка новой тест-системы ДС-ИФА-ВИЧ-АТ-СРОК для определения вероятных сроков заражения вирусом иммунодефицита человека 1-го типа (ВИЧ-1). Эпидемиол. и инфекц. бол. 2015; 20(3): 23-7.
  19. Kouyos R., von Wyl V., Yerly S., Böni J., Rieder Ph.A., Joos B. et al. Ambiguous Nucleotide Calls From population based Sequencing of HIV-1 are a Marker for Viral Diversity and the Age of Infection. Clin. Infect. Dis. 2011; 52(4): 532-9. doi: 10.1093/cid/ciq164
  20. Киреев Д.Е., Мурзакова А.В., Лопатухин А.Э., Покровская А.В., Шемшура А.Б., Кулагин В.В., Шипулин Г.А., Покровский В.В. Оценка эффективности определения длительности ВИЧ-инфекции путем анализа генетической вариабельности вируса. Инфекционные болезни 2017; 15(2): 61-6. doi: 10.20953/1729-9225-2017-2-61-66

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