A Novel Sample Selection Approach to Aid the Identification of Factors That Correlate With the Control of HIV-1 Infection
| Autor: | Julia Makinde, Eunice W. Nduati, Anna Freni-Sterrantino, Claire Streatfield, Catherine Kibirige, Jama Dalel, S. Lucas Black, Peter Hayes, Gladys Macharia, Jonathan Hare, Edward McGowan, Brian Abel, Deborah King, Sarah Joseph, The IAVI Protocol C Investigators, Eric Hunter, Eduard J. Sanders, Matt Price, Jill Gilmour |
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| Přispěvatelé: | Global Health |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
0301 basic medicine Time Factors IAVI Protocol C Investigators HIV Infections Virus Replication infectious diseases infection–immunology 0302 clinical medicine Risk Factors 1108 Medical Microbiology Epidemiology Immunology and Allergy 030212 general & internal medicine Prospective cohort study Original Research education.field_of_study Transmission (medicine) Incidence Interleukin-17 Viral Load 1107 Immunology Disease Progression Female immunology & Life Sciences & Biomedicine Viral load Adult lcsh:Immunologic diseases. Allergy medicine.medical_specialty Immunology Population Context (language use) Human leukocyte antigen Risk Assessment Virus elite controllers Young Adult 03 medical and health sciences Sex Factors medicine Humans immunology & infectious diseases education Adaptor Proteins Signal Transducing Retrospective Studies Science & Technology business.industry 030104 developmental biology HLA-B Antigens Africa HIV-1 viral control business lcsh:RC581-607 Biomarkers infection– |
| Zdroj: | Frontiers in Immunology, Vol 12 (2021) Frontiers in immunology, 12:634832. Frontiers Media S.A. Frontiers in Immunology |
| ISSN: | 1664-3224 |
| DOI: | 10.3389/fimmu.2021.634832/full |
| Popis: | Individuals infected with HIV display varying rates of viral control and disease progression, with a small percentage of individuals being able to spontaneously control infection in the absence of treatment. In attempting to define the correlates associated with natural protection against HIV, extreme heterogeneity in the datasets generated from systems methodologies can be further complicated by the inherent variability encountered at the population, individual, cellular and molecular levels. Furthermore, such studies have been limited by the paucity of well-characterised samples and linked epidemiological data, including duration of infection and clinical outcomes. To address this, we selected 10 volunteers who rapidly and persistently controlled HIV, and 10 volunteers each, from two control groups who failed to control (based on set point viral loads) from an acute and early HIV prospective cohort from East and Southern Africa. A propensity score matching approach was applied to control for the influence of five factors (age, risk group, virus subtype, gender, and country) known to influence disease progression on causal observations. Fifty-two plasma proteins were assessed at two timepoints in the 1st year of infection. We independently confirmed factors known to influence disease progression such as the B*57 HLA Class I allele, and infecting virus Subtype. We demonstrated associations between circulating levels of MIP-1α and IL-17C, and the ability to control infection. IL-17C has not been described previously within the context of HIV control, making it an interesting target for future studies to understand HIV infection and transmission. An in-depth systems analysis is now underway to fully characterise host, viral and immunological factors contributing to control. |
| Databáze: | OpenAIRE |
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