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Gumbs SBH, Stam AJ, Mudrikova T, Schipper PJ, Hoepelman AIM, van Ham PM, Borst AL, Hofstra LM, Gharu L, van Wyk S, Wilkinson E, de Witte LD, Wensing AMJ, Nijhuis M. Characterization of HIV variants from paired Cerebrospinal fluid and Plasma samples in primary microglia and CD4 + T-cells. J Neurovirol 2024:10.1007/s13365-024-01207-w. [PMID: 38713307 DOI: 10.1007/s13365-024-01207-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 03/30/2024] [Accepted: 04/03/2024] [Indexed: 05/08/2024]
Abstract
Despite antiretroviral therapy (ART), HIV persistence in the central nervous system (CNS) continues to cause a range of cognitive impairments in people living with HIV (PLWH). Upon disease progression, transmigrating CCR5-using T-cell tropic viruses are hypothesized to evolve into macrophage-tropic viruses in the CNS that can efficiently infect low CD4-expressing cells, such as microglia. We examined HIV-1 RNA concentration, co-receptor usage, and CSF compartmentalization in paired CSF and blood samples from 19 adults not on treatment. Full-length envelope CSF- and plasma-derived reporter viruses were generated from 3 subjects and phenotypically characterized in human primary CD4+ T-cells and primary microglia. Median HIV RNA levels were higher in plasma than in CSF (5.01 vs. 4.12 log10 cp/mL; p = 0.004), and coreceptor usage was mostly concordant for CCR5 across the paired samples (n = 17). Genetically compartmentalized CSF viral populations were detected in 2 subjects, one with and one without neurological symptoms. All viral clones could replicate in T-cells (R5 T cell-tropic). In addition, 3 CSF and 1 plasma patient-derived viral clones also had the capacity to replicate in microglia/macrophages and, therefore have an intermediate macrophage tropic phenotype. Overall, with this study, we demonstrate that in a subset of PLWH, plasma-derived viruses undergo genetic and phenotypic evolution within the CNS, indicating viral infection and replication in CNS cells. It remains to be studied whether the intermediate macrophage-tropic phenotype observed in primary microglia represents a midpoint in the evolution towards a macrophage-tropic phenotype that can efficiently replicate in microglial cells and propagate viral infection in the CNS.
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Affiliation(s)
- Stephanie B H Gumbs
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Arjen J Stam
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
- Department of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Tania Mudrikova
- Department of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Pauline J Schipper
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Andy I M Hoepelman
- Department of Internal Medicine and Infectious Diseases, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Petra M van Ham
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Anne L Borst
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - LMarije Hofstra
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Lavina Gharu
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Stephanie van Wyk
- Centre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa
| | - Eduan Wilkinson
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Annemarie M J Wensing
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands.
| | - Monique Nijhuis
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
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Mohammadzadeh N, Chomont N, Estaquier J, Cohen EA, Power C. Is the Central Nervous System Reservoir a Hurdle for an HIV Cure? Viruses 2023; 15:2385. [PMID: 38140626 PMCID: PMC10747469 DOI: 10.3390/v15122385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023] Open
Abstract
There is currently no cure for HIV infection although adherence to effective antiretroviral therapy (ART) suppresses replication of the virus in blood, increases CD4+ T-cell counts, reverses immunodeficiency, and increases life expectancy. Despite these substantial advances, ART is a lifelong treatment for people with HIV (PWH) and upon cessation or interruption, the virus quickly rebounds in plasma and anatomic sites, including the central nervous system (CNS), resulting in disease progression. With recent advances in quantifying viral burden, detection of genetically intact viral genomes, and isolation of replication-competent virus from brain tissues of PWH receiving ART, it has become apparent that the CNS viral reservoir (largely comprised of macrophage type cells) poses a substantial challenge for HIV cure strategies. Other obstacles impacting the curing of HIV include ageing populations, substance use, comorbidities, limited antiretroviral drug efficacy in CNS cells, and ART-associated neurotoxicity. Herein, we review recent findings, including studies of the proviral integration sites, reservoir decay rates, and new treatment/prevention strategies in the context of the CNS, together with highlighting the next steps for investigations of the CNS as a viral reservoir.
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Affiliation(s)
- Nazanin Mohammadzadeh
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Nicolas Chomont
- Department of Immunopathology, Research Centre of the Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC H2X 0A9, Canada;
- Department of Microbiology, Infectiology and Immunology, Faculty of Medicine, Université de Montréal, Montreal, QC H3C 3J7, Canada;
| | - Jerome Estaquier
- Department of Microbiology and Immunology, CHU de Québec-Université Laval Research Center, Québec, QC G1V 4G2, Canada;
| | - Eric A. Cohen
- Department of Microbiology, Infectiology and Immunology, Faculty of Medicine, Université de Montréal, Montreal, QC H3C 3J7, Canada;
- Institut de Recherches Cliniques de Montreal, Montreal, QC H2W 1R7, Canada
| | - Christopher Power
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada;
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Ramirez-Mata AS, Ostrov D, Salemi M, Marini S, Magalis BR. Machine Learning Prediction and Phyloanatomic Modeling of Viral Neuroadaptive Signatures in the Macaque Model of HIV-Mediated Neuropathology. Microbiol Spectr 2023; 11:e0308622. [PMID: 36847516 PMCID: PMC10100676 DOI: 10.1128/spectrum.03086-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 02/06/2023] [Indexed: 03/01/2023] Open
Abstract
In human immunodeficiency virus (HIV) infection, virus replication in and adaptation to the central nervous system (CNS) can result in neurocognitive deficits in approximately 25% of patients with unsuppressed viremia. While no single viral mutation can be agreed upon as distinguishing the neuroadapted population, earlier studies have demonstrated that a machine learning (ML) approach could be applied to identify a collection of mutational signatures within the virus envelope glycoprotein (Gp120) predictive of disease. The S[imian]IV-infected macaque is a widely used animal model of HIV neuropathology, allowing in-depth tissue sampling infeasible for human patients. Yet, translational impact of the ML approach within the context of the macaque model has not been tested, much less the capacity for early prediction in other, noninvasive tissues. We applied the previously described ML approach to prediction of SIV-mediated encephalitis (SIVE) using gp120 sequences obtained from the CNS of animals with and without SIVE with 97% accuracy. The presence of SIVE signatures at earlier time points of infection in non-CNS tissues indicated these signatures cannot be used in a clinical setting; however, combined with protein structural mapping and statistical phylogenetic inference, results revealed common denominators associated with these signatures, including 2-acetamido-2-deoxy-beta-d-glucopyranose structural interactions and high rate of alveolar macrophage (AM) infection. AMs were also determined to be the phyloanatomic source of cranial virus in SIVE animals, but not in animals that did not develop SIVE, implicating a role for these cells in the evolution of the signatures identified as predictive of both HIV and SIV neuropathology. IMPORTANCE HIV-associated neurocognitive disorders remain prevalent among persons living with HIV (PLWH) owing to our limited understanding of the contributing viral mechanisms and ability to predict disease onset. We have expanded on a machine learning method previously used on HIV genetic sequence data to predict neurocognitive impairment in PLWH to the more extensively sampled SIV-infected macaque model in order to (i) determine the translatability of the animal model and (ii) more accurately characterize the predictive capacity of the method. We identified eight amino acid and/or biochemical signatures in the SIV envelope glycoprotein, the most predominant of which demonstrated the potential for aminoglycan interaction characteristic of previously identified HIV signatures. These signatures were not isolated to specific points in time or to the central nervous system, limiting their use as an accurate clinical predictor of neuropathogenesis; however, statistical phylogenetic and signature pattern analyses implicate the lungs as a key player in the emergence of neuroadapted viruses.
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Affiliation(s)
- Andrea S. Ramirez-Mata
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - David Ostrov
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Marco Salemi
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
| | - Simone Marini
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
- Department of Epidemiology, University of Florida, Gainesville, Florida, USA
| | - Brittany Rife Magalis
- Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA
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Zerbato JM, Avihingsanon A, Singh KP, Zhao W, Deleage C, Rosen E, Cottrell ML, Rhodes A, Dantanarayana A, Tumpach C, Tennakoon S, Crane M, Price DJ, Braat S, Mason H, Roche M, Kashuba AD, Revill PA, Audsley J, Lewin SR. HIV DNA persists in hepatocytes in people with HIV-hepatitis B co-infection on antiretroviral therapy. EBioMedicine 2022; 87:104391. [PMID: 36502576 PMCID: PMC9763386 DOI: 10.1016/j.ebiom.2022.104391] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/04/2022] [Accepted: 11/17/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND HIV can infect multiple cells in the liver including hepatocytes, Kupffer cells and infiltrating T cells, but whether HIV can persist in the liver in people with HIV (PWH) on suppressive antiretroviral therapy (ART) remains unknown. METHODS In a prospective longitudinal cohort of PWH and hepatitis B virus (HBV) co-infection living in Bangkok, Thailand, we collected blood and liver biopsies from 18 participants prior to and following ART and quantified HIV and HBV persistence using quantitative (q)PCR and RNA/DNAscope. Antiretroviral (ARV) drug levels were quantified using mass spectroscopy. FINDINGS In liver biopsies taken prior to ART, HIV DNA and HIV RNA were detected by qPCR in 53% (9/17) and 47% (8/17) of participants respectively. Following a median ART duration of 3.4 years, HIV DNA was detected in liver in 61% (11/18) of participants by either qPCR, DNAscope or both, but only at very low and non-quantifiable levels. Using immunohistochemistry, HIV DNA was observed in both hepatocytes and liver infiltrating CD4+ T cells on ART. HIV RNA was not detected in liver biopsies collected on ART, by either qPCR or RNAscope. All ARVs were clearly detected in liver tissue. INTERPRETATION Persistence of HIV DNA in liver in PWH on ART represents an additional reservoir that warrants further investigation. FUNDING National Health and Medical Research Council of Australia (Project Grant APP1101836, 1149990, and 1135851); This project has been funded in part with federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. 75N91019D00024.
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Affiliation(s)
- Jennifer M. Zerbato
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Anchalee Avihingsanon
- HIV-NAT, Thai Red Cross AIDS Research Centre and Centre of Excellence in Tuberculosis, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Kasha P. Singh
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Victorian Infectious Diseases Service, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Australia
| | - Wei Zhao
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Claire Deleage
- AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Elias Rosen
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | | | - Ajantha Rhodes
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Ashanti Dantanarayana
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Carolin Tumpach
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Surekha Tennakoon
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Megan Crane
- National Centre for Infections in Cancer, Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - David J. Price
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Centre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, University of Melbourne, Melbourne, Australia
| | - Sabine Braat
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Centre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, University of Melbourne, Melbourne, Australia,MISCH (Methods and Implementation Support for Clinical Health) Research Hub, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia
| | - Hugh Mason
- Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at The Peter Doherty Institute of Infection and Immunity, Melbourne, Australia
| | - Michael Roche
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Angela D.M. Kashuba
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Peter A. Revill
- Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at The Peter Doherty Institute of Infection and Immunity, Melbourne, Australia
| | - Jennifer Audsley
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
| | - Sharon R. Lewin
- Department of Infectious Diseases, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Victorian Infectious Diseases Service, Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia,Department of Infectious Diseases, Alfred Hospital and Monash University, Melbourne, Australia,Corresponding author. Department of Infectious Diseases, University of Melbourne at The Peter Doherty Institute for Infection and Immunity, 786-798 Elizabeth Street, Melbourne, Victoria 3010, Australia.
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Nühn MM, Gumbs SBH, Buchholtz NVEJ, Jannink LM, Gharu L, de Witte LD, Wensing AMJ, Lewin SR, Nijhuis M, Symons J. Shock and kill within the CNS: A promising HIV eradication approach? J Leukoc Biol 2022; 112:1297-1315. [PMID: 36148896 PMCID: PMC9826147 DOI: 10.1002/jlb.5vmr0122-046rrr] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 08/12/2022] [Accepted: 08/15/2022] [Indexed: 01/18/2023] Open
Abstract
The most studied HIV eradication approach is the "shock and kill" strategy, which aims to reactivate the latent reservoir by latency reversing agents (LRAs) and allowing elimination of these cells by immune-mediated clearance or viral cytopathic effects. The CNS is an anatomic compartment in which (persistent) HIV plays an important role in HIV-associated neurocognitive disorder. Restriction of the CNS by the blood-brain barrier is important for maintenance of homeostasis of the CNS microenvironment, which includes CNS-specific cell types, expression of transcription factors, and altered immune surveillance. Within the CNS predominantly myeloid cells such as microglia and perivascular macrophages are thought to be a reservoir of persistent HIV infection. Nevertheless, infection of T cells and astrocytes might also impact HIV infection in the CNS. Genetic adaptation to this microenvironment results in genetically distinct, compartmentalized viral populations with differences in transcription profiles. Because of these differences in transcription profiles, LRAs might have different effects within the CNS as compared with the periphery. Moreover, reactivation of HIV in the brain and elimination of cells within the CNS might be complex and could have detrimental consequences. Finally, independent of activity on latent HIV, LRAs themselves can have adverse neurologic effects. We provide an extensive overview of the current knowledge on compartmentalized (persistent) HIV infection in the CNS and on the "shock and kill" strategy. Subsequently, we reflect on the impact and promise of the "shock and kill" strategy on the elimination of persistent HIV in the CNS.
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Affiliation(s)
- Marieke M. Nühn
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Stephanie B. H. Gumbs
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Ninée V. E. J. Buchholtz
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Lisanne M. Jannink
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Lavina Gharu
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Lot D. de Witte
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands,Department of PsychiatryIcahn School of MedicineNew YorkNew YorkUSA
| | - Annemarie M. J. Wensing
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Sharon R. Lewin
- Department of Infectious DiseasesThe University of Melbourne at the Peter Doherty Institute of Immunity and InfectionMelbourneVICAustralia,Victorian Infectious Diseases ServiceThe Royal Melbourne Hospital at the Peter Doherty Institute of Immunity and InfectionMelbourneVICAustralia,Department of Infectious DiseasesAlfred Hospital and Monash UniversityMelbourneVICAustralia
| | - Monique Nijhuis
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
| | - Jori Symons
- Translational Virology, Department of Medical MicrobiologyUniversity Medical CenterUtrechtthe Netherlands
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Distinct HIV-1 Population Structure across Meningeal and Peripheral T Cells and Macrophage Lineage Cells. Microbiol Spectr 2022; 10:e0250822. [PMID: 36173332 PMCID: PMC9602438 DOI: 10.1128/spectrum.02508-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
HIV-1 sequence population structure among brain and nonbrain cellular compartments is incompletely understood. Here, we compared proviral pol and env high-quality consensus single-molecule real-time (SMRT) sequences derived from CD3+ T cells and CD14+ macrophage lineage cells from meningeal or peripheral (spleen, blood) tissues obtained at autopsy from two individuals with viral suppression on antiretroviral therapy (ART). Phylogenetic analyses showed strong evidence of population structure between CD3+ and CD14+ virus populations. Distinct env variable-region characteristics were also found between CD3+ and CD14+ viruses. Furthermore, shared macrophage-tropic amino acid residues (env) and drug resistance mutations (pol) between meningeal and peripheral virus populations were consistent with the meninges playing a role in viral gene flow across the blood-brain barrier. Overall, our results point toward potential functional differences among meningeal and peripheral CD3+ and CD14+ virus populations and a complex evolutionary history driven by distinct selection pressures and/or viral gene flow. IMPORTANCE Different cell types and/or tissues may serve as a reservoir for HIV-1 during ART-induced viral suppression. We compared proviral pol and env sequences from CD3+ T cells and CD14+ macrophage lineage cells from brain and nonbrain tissues from two virally suppressed individuals. We found strong evidence of viral population structure among cells/tissues, which may result from distinct selective pressures across cell types and anatomic sites.
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Autopsy Study Defines Composition and Dynamics of the HIV-1 Reservoir after Allogeneic Hematopoietic Stem Cell Transplantation with CCR5Δ32/Δ32 Donor Cells. Viruses 2022; 14:v14092069. [PMID: 36146874 PMCID: PMC9503691 DOI: 10.3390/v14092069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 09/13/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
Allo-HSCT with CCR5Δ32/Δ32 donor cells is the only curative HIV-1 intervention. We investigated the impact of allo-HSCT on the viral reservoir in PBMCs and post-mortem tissue in two patients. IciS-05 and IciS-11 both received a CCR5Δ32/Δ32 allo-HSCT. Before allo-HSCT, ultrasensitive HIV-1 RNA quantification; HIV-1-DNA quantification; co-receptor tropism analysis; deep-sequencing and viral characterization in PBMCs and bone marrow; and post-allo-HSCT, ultrasensitive RNA and HIV-1-DNA quantification were performed. Proviral quantification, deep sequencing, and viral characterization were done in post-mortem tissue samples. Both patients harbored subtype B CCR5-tropic HIV-1 as determined genotypically and functionally by virus culture. Pre-allo-HSCT, HIV-1-DNA could be detected in both patients in bone marrow, PBMCs, and T-cell subsets. Chimerism correlated with detectable HIV-1-DNA LTR copies in cells and tissues. Post-mortem analysis of IciS-05 revealed proviral DNA in all tissue biopsies, but not in PBMCs. In patient IciS-11, who was transplanted twice, no HIV-1-DNA could be detected in PBMCs at the time of death, whereas HIV-1-DNA was detectable in the lymph node. In conclusion, shortly after CCR5Δ32/Δ32, allo-HSCT HIV-1-DNA became undetectable in PBMCs. However, HIV-1-DNA variants identical to those present before transplantation persisted in post-mortem-obtained tissues, indicating that these tissues play an important role as viral reservoirs.
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Perdoncini Carvalho C, Ren R, Han J, Qu F. Natural Selection, Intracellular Bottlenecks of Virus Populations, and Viral Superinfection Exclusion. Annu Rev Virol 2022; 9:121-137. [PMID: 35567296 DOI: 10.1146/annurev-virology-100520-114758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Natural selection acts on cellular organisms by ensuring the genes responsible for an advantageous phenotype consistently reap the phenotypic advantage. This is possible because reproductive cells of these organisms are almost always haploid, separating the beneficial gene from its rival allele at every generation. How natural selection acts on plus-strand RNA viruses is unclear because these viruses frequently load host cells with numerous genome copies and replicate thousands of progeny genomes in each cell. Recent studies suggest that these viruses encode the Bottleneck, Isolate, Amplify, Select (BIAS) mechanism that blocks all but a few viral genome copies from replication, thus creating the environment in which the bottleneck-escaping viral genome copies are isolated from each other, allowing natural selection to reward beneficial mutations and purge lethal errors. This BIAS mechanism also blocks the genomes of highly homologous superinfecting viruses, thus explaining cellular-level superinfection exclusion. Expected final online publication date for the Annual Review of Virology, Volume 9 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
| | - Ruifan Ren
- Department of Plant Pathology, The Ohio State University, Wooster, Ohio, USA;
| | - Junping Han
- Department of Plant Pathology, The Ohio State University, Wooster, Ohio, USA;
| | - Feng Qu
- Department of Plant Pathology, The Ohio State University, Wooster, Ohio, USA;
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9
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Gumbs SBH, Berdenis van Berlekom A, Kübler R, Schipper PJ, Gharu L, Boks MP, Ormel PR, Wensing AMJ, de Witte LD, Nijhuis M. Characterization of HIV-1 Infection in Microglia-Containing Human Cerebral Organoids. Viruses 2022; 14:v14040829. [PMID: 35458559 PMCID: PMC9032670 DOI: 10.3390/v14040829] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/07/2022] [Accepted: 04/14/2022] [Indexed: 12/21/2022] Open
Abstract
The achievement of an HIV cure is dependent on the eradication or permanent silencing of HIV-latent viral reservoirs, including the understudied central nervous system (CNS) reservoir. This requires a deep understanding of the molecular mechanisms of HIV’s entry into the CNS, latency establishment, persistence, and reversal. Therefore, representative CNS culture models that reflect the intercellular dynamics and pathophysiology of the human brain are urgently needed in order to study the CNS viral reservoir and HIV-induced neuropathogenesis. In this study, we characterized a human cerebral organoid model in which microglia grow intrinsically as a CNS culture model to study HIV infection in the CNS. We demonstrated that both cerebral organoids and isolated organoid-derived microglia (oMG), infected with replication-competent HIVbal reporter viruses, support productive HIV infection via the CCR5 co-receptor. Productive HIV infection was only observed in microglial cells. Fluorescence analysis revealed microglia as the only HIV target cell. Susceptibility to HIV infection was dependent on the co-expression of microglia-specific markers and the CD4 and CCR5 HIV receptors. Altogether, this model will be a valuable tool within the HIV research community to study HIV–CNS interactions, the underlying mechanisms of HIV-associated neurological disorders (HAND), and the efficacy of new therapeutic and curative strategies on the CNS viral reservoir.
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Affiliation(s)
- Stephanie B. H. Gumbs
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
| | - Amber Berdenis van Berlekom
- Department of Psychiatry, University Medical Center Utrect Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (A.B.v.B.); (M.P.B.); (P.R.O.); (L.D.d.W.)
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands
| | - Raphael Kübler
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Pauline J. Schipper
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
| | - Lavina Gharu
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
| | - Marco P. Boks
- Department of Psychiatry, University Medical Center Utrect Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (A.B.v.B.); (M.P.B.); (P.R.O.); (L.D.d.W.)
| | - Paul R. Ormel
- Department of Psychiatry, University Medical Center Utrect Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (A.B.v.B.); (M.P.B.); (P.R.O.); (L.D.d.W.)
| | - Annemarie M. J. Wensing
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
| | - Lot D. de Witte
- Department of Psychiatry, University Medical Center Utrect Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (A.B.v.B.); (M.P.B.); (P.R.O.); (L.D.d.W.)
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Monique Nijhuis
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands; (S.B.H.G.); (R.K.); (P.J.S.); (L.G.); (A.M.J.W.)
- Correspondence:
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10
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Low Pathogenicity H7N3 Avian Influenza Viruses Have Higher Within-Host Genetic Diversity Than a Closely Related High Pathogenicity H7N3 Virus in Infected Turkeys and Chickens. Viruses 2022; 14:v14030554. [PMID: 35336961 PMCID: PMC8951284 DOI: 10.3390/v14030554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 12/11/2022] Open
Abstract
Within-host viral diversity offers a view into the early stages of viral evolution occurring after a virus infects a host. In recent years, advances in deep sequencing have allowed for routine identification of low-frequency variants, which are important sources of viral genetic diversity and can potentially emerge as a major virus population under certain conditions. We examined within-host viral diversity in turkeys and chickens experimentally infected with closely related H7N3 avian influenza viruses (AIVs), specifically one high pathogenicity AIV (HPAIV) and two low pathogenicity AIV (LPAIVs) with different neuraminidase protein stalk lengths. Consistent with the high mutation rates of AIVs, an abundance of intra-host single nucleotide variants (iSNVs) at low frequencies of 2–10% was observed in all samples collected. Furthermore, a small number of common iSNVs were observed between turkeys and chickens, and between directly inoculated and contact-exposed birds. Notably, the LPAIVs have significantly higher iSNV diversities and frequencies of nonsynonymous changes than the HPAIV in both turkeys and chickens. These findings highlight the dynamics of AIV populations within hosts and the potential impact of genetic changes, including mutations in the hemagglutinin gene that confers the high pathogenicity pathotype, on AIV virus populations and evolution.
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11
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Gumbs SBH, Kübler R, Gharu L, Schipper PJ, Borst AL, Snijders GJLJ, Ormel PR, van Berlekom AB, Wensing AMJ, de Witte LD, Nijhuis M. Human microglial models to study HIV infection and neuropathogenesis: a literature overview and comparative analyses. J Neurovirol 2022; 28:64-91. [PMID: 35138593 PMCID: PMC9076745 DOI: 10.1007/s13365-021-01049-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/03/2021] [Accepted: 12/18/2021] [Indexed: 02/08/2023]
Abstract
HIV persistence in the CNS despite antiretroviral therapy may cause neurological disorders and poses a critical challenge for HIV cure. Understanding the pathobiology of HIV-infected microglia, the main viral CNS reservoir, is imperative. Here, we provide a comprehensive comparison of human microglial culture models: cultured primary microglia (pMG), microglial cell lines, monocyte-derived microglia (MDMi), stem cell-derived microglia (iPSC-MG), and microglia grown in 3D cerebral organoids (oMG) as potential model systems to advance HIV research on microglia. Functional characterization revealed phagocytic capabilities and responsiveness to LPS across all models. Microglial transcriptome profiles of uncultured pMG showed the highest similarity to cultured pMG and oMG, followed by iPSC-MG and then MDMi. Direct comparison of HIV infection showed a striking difference, with high levels of viral replication in cultured pMG and MDMi and relatively low levels in oMG resembling HIV infection observed in post-mortem biopsies, while the SV40 and HMC3 cell lines did not support HIV infection. Altogether, based on transcriptional similarities to uncultured pMG and susceptibility to HIV infection, MDMi may serve as a first screening tool, whereas oMG, cultured pMG, and iPSC-MG provide more representative microglial culture models for HIV research. The use of current human microglial cell lines (SV40, HMC3) is not recommended.
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Affiliation(s)
- Stephanie B H Gumbs
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Raphael Kübler
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Psychiatry, Icahn School of Medicine, New York, NY, USA
| | - Lavina Gharu
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Pauline J Schipper
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anne L Borst
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gijsje J L J Snijders
- Department of Psychiatry, Icahn School of Medicine, New York, NY, USA
- Department of Psychiatry, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Paul R Ormel
- Department of Psychiatry, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Amber Berdenis van Berlekom
- Department of Psychiatry, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, The Netherlands
- Department of Translational Neuroscience, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Annemarie M J Wensing
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine, New York, NY, USA
- Department of Psychiatry, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Monique Nijhuis
- Translational Virology, Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
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12
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Ultradeep HIV-1 Proviral Envelope Sequencing Reveals Complex Population Structure within and between Brain and Splenic Tissues. J Virol 2021; 95:e0120221. [PMID: 34495695 DOI: 10.1128/jvi.01202-21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Understanding tissue-based HIV-1 proviral population structure is important for improving treatment strategies for individuals with HIV-associated neurological disorders (HAND). Previous analyses have revealed HIV-1 envelope (env) population structure between brain and peripheral tissues as well as Env functional differences, especially in individuals with HAND. Furthermore, population structure has been detected among different anatomical locations in the brain itself, although such patterns are inconsistent across individuals and less strongly associated with the presence/absence of HAND. Here, we utilized the Pacific Biosciences single-molecule real-time (SMRT) high-throughput technology to generate thousands of sequences for each tissue, along with phylogenetic and distance-based analyses, to investigate env sequences from paired brain and spleen samples from eight individuals with/without HAND. To account for the high error rate associated with SMRT sequencing, we used a clustering approach to identify high-quality consensus sequences representative of ≥10 reads ("HQCS10"). In parallel, we characterized variable regions from nonclustered sequences to identify potential functional differences. We found evidence for significant population structure between brain and spleen tissues, as well as among brain tissues and within the same brain tissue, in individuals both with and without HAND. Variable region analysis showed differences in length and charge among brain and nonbrain tissues as well as within the brain, suggesting possible functional differences. Our results demonstrate the complexity of HIV-1 env structure/gene flow among tissues and support the concept that selective pressures in different tissue microenvironments drive viral evolution and adaptation. IMPORTANCE Understanding the evolution of HIV-1 in the brain compared to other tissues is important for improving treatment strategies for individuals with HIV-associated neurological disorders (HAND). We utilized high-throughput sequencing technology to generate thousands of full-length env sequences from paired brain and spleen samples from eight individuals with/without HAND. We found significant viral population structure for participants both with and without HAND, providing robust evidence for the brain as a compartmentalized tissue and potentially a viral reservoir. We also found striking genetic differences between virus populations, even from the same tissue, suggesting the potential for functional differences and the possibility for multiple evolutionary pathways that result in similar tropisms and/or other tissue-adapted characteristics. Our results demonstrate the complexity of viral population structure within the brain and suggest that analysis of peripheral blood samples alone may not be fully informative with respect to improving strategies to treat or eradicate HIV-1.
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13
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NanoHIV: A Bioinformatics Pipeline for Producing Accurate, Near Full-Length HIV Proviral Genomes Sequenced Using the Oxford Nanopore Technology. Cells 2021; 10:cells10102577. [PMID: 34685559 PMCID: PMC8534097 DOI: 10.3390/cells10102577] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 12/13/2022] Open
Abstract
HIV-1 proviral single-genome sequencing by limiting-dilution polymerase chain reaction (PCR) amplification is important for differentiating the sequence-intact from defective proviruses that persist during antiretroviral therapy (ART). Intact proviruses may rebound if ART is interrupted and are the barrier to an HIV cure. Oxford Nanopore Technologies (ONT) sequencing offers a promising, cost-effective approach to the sequencing of long amplicons such as near full-length HIV-1 proviruses, but the high diversity of HIV-1 and the ONT sequencing error render analysis of the generated data difficult. NanoHIV is a new tool that uses an iterative consensus generation approach to construct accurate, near full-length HIV-1 proviral single-genome sequences from ONT data. To validate the approach, single-genome sequences generated using NanoHIV consensus building were compared to Illumina® consensus building of the same nine single-genome near full-length amplicons and an average agreement of 99.4% was found between the two sequencing approaches.
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14
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Ultradeep sequencing reveals HIV-1 diversity and resistance compartmentalization during HIV-encephalopathy. AIDS 2020; 34:1609-1614. [PMID: 32701585 DOI: 10.1097/qad.0000000000002616] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVES To examine viral diversity and resistance mutations in different brain areas in cases of HIV-encephalopathy. DESIGN Twelve postmortem brain areas from three cases of possible or certain HIV-encephalopathy were analyzed. METHODS After amplification of the reverse transcriptase and the V3 loop region of the gp120 protein, ultradeep sequencing was performed with Illumina technology. Phylogenetic analysis was performed with Fastree v2.1 using the generalized time-reversible (GTR) model. Identification of resistant viral variants was performed on Geneious software, according to HIV-1 genotypic drug resistance interpretation's algorithms, 2018 administered by the French Agency for Research on AIDS and Viral Hepatitis. RESULTS Phylogenetic analysis revealed significant inter-regional and intra-regional diversity reflecting persistent HIV-1 viral replication in the different brain areas. Although some cerebral regions shared HIV-variants, most of them harbored a specific HIV-subpopulation reflecting HIV compartmentalization in the central nervous system. Furthermore, proportion and distribution of resistance mutations to nucleoside and non-nucleoside reverse transcriptase inhibitors differed among different brain areas of the same case suggesting that penetration of antiretroviral treatment may differ from one compartment to another. CONCLUSION This study, performed with a powerful sequencing technique, confirmed HIV compartmentalization in the central nervous system already shown by classical sequencing, suggesting that there are several reservoirs within the brain.
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15
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A minor population of macrophage-tropic HIV-1 variants is identified in recrudescing viremia following analytic treatment interruption. Proc Natl Acad Sci U S A 2020; 117:9981-9990. [PMID: 32300019 DOI: 10.1073/pnas.1917034117] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
HIV-1 persists in cellular reservoirs that can reignite viremia if antiretroviral therapy (ART) is interrupted. Therefore, insight into the nature of those reservoirs may be revealed from the composition of recrudescing viremia following treatment cessation. A minor population of macrophage-tropic (M-tropic) viruses was identified in a library of recombinant viruses constructed with individual envelope genes that were obtained from plasma of six individuals undergoing analytic treatment interruption (ATI). M-tropic viruses could also be enriched from post-ATI plasma using macrophage-specific (CD14) but not CD4+ T cell-specific (CD3) antibodies, suggesting that M-tropic viruses had a macrophage origin. Molecular clock analysis indicated that the establishment of M-tropic HIV-1 variants predated ATI. Collectively, these data suggest that macrophages are a viral reservoir in HIV-1-infected individuals on effective ART and that M-tropic variants can appear in rebounding viremia when treatment is interrupted. These findings have implications for the design of curative strategies for HIV-1.
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Pérez-Losada M, Arenas M, Galán JC, Bracho MA, Hillung J, García-González N, González-Candelas F. High-throughput sequencing (HTS) for the analysis of viral populations. INFECTION GENETICS AND EVOLUTION 2020; 80:104208. [PMID: 32001386 DOI: 10.1016/j.meegid.2020.104208] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/21/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022]
Abstract
The development of High-Throughput Sequencing (HTS) technologies is having a major impact on the genomic analysis of viral populations. Current HTS platforms can capture nucleic acid variation across millions of genes for both selected amplicons and full viral genomes. HTS has already facilitated the discovery of new viruses, hinted new taxonomic classifications and provided a deeper and broader understanding of their diversity, population and genetic structure. Hence, HTS has already replaced standard Sanger sequencing in basic and applied research fields, but the next step is its implementation as a routine technology for the analysis of viruses in clinical settings. The most likely application of this implementation will be the analysis of viral genomics, because the huge population sizes, high mutation rates and very fast replacement of viral populations have demonstrated the limited information obtained with Sanger technology. In this review, we describe new technologies and provide guidelines for the high-throughput sequencing and genetic and evolutionary analyses of viral populations and metaviromes, including software applications. With the development of new HTS technologies, new and refurbished molecular and bioinformatic tools are also constantly being developed to process and integrate HTS data. These allow assembling viral genomes and inferring viral population diversity and dynamics. Finally, we also present several applications of these approaches to the analysis of viral clinical samples including transmission clusters and outbreak characterization.
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Affiliation(s)
- Marcos Pérez-Losada
- Computational Biology Institute, Milken Institute School of Public Health, George Washington University, Washington, DC, USA; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Vairão 4485-661, Portugal
| | - Miguel Arenas
- Department of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain; Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain.
| | - Juan Carlos Galán
- Microbiology Service, Hospital Ramón y Cajal, Madrid, Spain; CIBER in Epidemiology and Public Health, Spain.
| | - Mª Alma Bracho
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain.
| | - Julia Hillung
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Neris García-González
- Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
| | - Fernando González-Candelas
- CIBER in Epidemiology and Public Health, Spain; Joint Research Unit "Infection and Public Health" FISABIO-University of Valencia, Valencia, Spain; Institute for Integrative Systems Biology (I2SysBio), CSIC-University of Valencia, Valencia, Spain.
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17
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Abstract
: The persistence of HIV in the central nervous system is somewhat controversial particularly in the context of HIV viral suppression from combined antiretroviral therapy. Further, its significance in relation to HIV pathogenesis in the context of HIV-associated neurocognitive disorders, systemic HIV pathogenesis, and eradication in general, but especially from the brain, are even more contentious. This review will discuss each of these aspects in detail, highlighting new data, particularly from recent conference presentations.
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18
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Lamers SL, Fogel GB, Nolan DJ, Barbier AE, Rose R, Singer EJ, Gonzalez-Perez MP, McGrath MS. Emerging Patterns in HIV-1 gp120 Variable Domains in Anatomical Tissues in the Absence of a Plasma Viral Load. AIDS Res Hum Retroviruses 2019; 35:588-596. [PMID: 30793919 PMCID: PMC6588100 DOI: 10.1089/aid.2018.0267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The HIV envelope protein contains five hypervariable domains (V1-V5) that are fundamental for cell entry. We contrasted modifications in the variable domains derived from a panel of 24 tissues from 7 subjects with no measurable plasma viral load (NPVL) to variable domains from 76 tissues from 15 subjects who had a detectable plasma viral load (PVL) at death. NPVL subject's V1 and V2 domains were usually highly length variable, whereas length variation in PVL sequences was more conserved. Longer V1s contained more charged residues, whereas longer V2s were more glycosylated. Structural analysis demonstrated V1/V2 charge, and N-site additions/subtractions were localized to the CD4 binding pocket. Diversified envelopes in tissues during therapy may represent a mechanism for HIV persistence in tissues, as binding pocket complexity is associated with HIV that may escape neutralization, whereas shorter envelopes are associated with increased infectivity. Further analysis of tissue-derived envelope sequences may enable better understanding of potential immunological approaches targeting the persistent HIV reservoir.
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Affiliation(s)
| | | | | | | | | | - Elyse J. Singer
- The National Neurological AIDS Bank, University of California, Los Angeles, California
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine and Olive View-UCLA Medical Center, Los Angeles, California
| | - Maria Paz Gonzalez-Perez
- Program in Molecular Medicine, The University of Massachusetts Medical School, Worcester, Massachusetts
| | - Michael S. McGrath
- Departments of Laboratory Medicine, Pathology and Medicine, The University of California at San Francisco, San Francisco, California
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19
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Phylogenetic inference for the study of within-host HIV-1 dynamics and persistence on antiretroviral therapy. Lancet HIV 2019; 6:e325-e333. [PMID: 30962119 DOI: 10.1016/s2352-3018(19)30051-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/02/2019] [Accepted: 02/19/2019] [Indexed: 01/22/2023]
Abstract
Although antiretroviral therapy (ART) is highly effective at inhibiting HIV-1 replication and preventing AIDS, it cannot eradicate the infection. Many studies have used viral genetic information from single-genome and deep sequencing of blood and tissue samples to investigate the mechanisms that sustain the HIV-1 reservoir. Sequence data are analysed by use of measurements of population diversity and divergence and by exploration of phylogenetic associations. The study of intrahost HIV-1 populations on ART requires specific considerations as their dynamics can be shaped by host factors such as cell death and proliferation. Hence, understanding both the biology of HIV-1 persistence and the phylogenetic methods that can be applied to this field is crucial. We conclude that the most suitable phylogenetic methods and evolutionary models for characterising HIV-1 populations on ART include using neighbour-joining trees to identify identical proviral sequences that might result from T-cell proliferation, and using maximum-likelihood analysis to investigate the possibility of ongoing viral replication on ART. Characterising the reservoir for HIV-1 on ART is a high priority for the design of curative interventions.
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20
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Kijak GH, Sanders-Buell E, Pham P, Harbolick EA, Oropeza C, O'Sullivan AM, Bose M, Beckett CG, Milazzo M, Robb ML, Peel SA, Scott PT, Michael NL, Armstrong AW, Kim JH, Brett-Major DM, Tovanabutra S. Next-generation sequencing of HIV-1 single genome amplicons. BIOMOLECULAR DETECTION AND QUANTIFICATION 2019; 17:100080. [PMID: 30923677 PMCID: PMC6423504 DOI: 10.1016/j.bdq.2019.01.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Revised: 01/18/2019] [Accepted: 01/29/2019] [Indexed: 12/14/2022]
Abstract
The analysis of HIV-1 sequences has helped understand the viral molecular epidemiology, monitor the development of antiretroviral drug resistance, and design candidate vaccines. The introduction of single genome amplification (SGA) has been a major advancement in the field, allowing for the characterization of multiple sequences per patient while preserving linkage among polymorphisms in the same viral genome copy. Sequencing of SGA amplicons is performed by capillary Sanger sequencing, which presents low throughput, requires a high amount of template, and is highly sensitive to template/primer mismatching. In order to meet the increasing demand for HIV-1 SGA amplicon sequencing, we have developed a platform based on benchtop next-generation sequencing (NGS) (IonTorrent) accompanied by a bioinformatics pipeline capable of running on computer resources commonly available at research laboratories. During assay validation, the NGS-based sequencing of 10 HIV-1 env SGA amplicons was fully concordant with Sanger sequencing. The field test was conducted on plasma samples from 10 US Navy and Marine service members with recent HIV-1 infection (sampling interval: 2005–2010; plasma viral load: 5,884–194,984 copies/ml). The NGS analysis of 101 SGA amplicons (median: 10 amplicons/individual) showed within-individual viral sequence profiles expected in individuals at this disease stage, including individuals with highly homogeneous quasispecies, individuals with two highly homogeneous viral lineages, and individuals with heterogeneous viral populations. In a scalability assessment using the Ion Chef automated system, 41/43 tested env SGA amplicons (95%) multiplexed on a single Ion 318 chip showed consistent gene-wide coverage >50×. With lower sample requirements and higher throughput, this approach is suitable to support the increasing demand for high-quality and cost-effective HIV-1 sequences in fields such as molecular epidemiology, and development of preventive and therapeutic strategies.
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Affiliation(s)
- Gustavo H Kijak
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Eric Sanders-Buell
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Phuc Pham
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Elizabeth A Harbolick
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Celina Oropeza
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Anne Marie O'Sullivan
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Meera Bose
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | | | - Mark Milazzo
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Merlin L Robb
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Sheila A Peel
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Paul T Scott
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Nelson L Michael
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | | | - Jerome H Kim
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - David M Brett-Major
- Department of Preventive Medicine and Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD, United States
| | - Sodsai Tovanabutra
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States.,Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
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