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Benner SE, Zhu X, Hussain S, Florman S, Eby Y, Fernandez RE, Ostrander D, Rana M, Ottmann S, Hand J, Price JC, Pereira MR, Wojciechowski D, Simkins J, Stosor V, Mehta SA, Aslam S, Malinis M, Haidar G, Massie A, Smith ML, Odim J, Morsheimer M, Quinn TC, Laird GM, Siliciano R, Balagopal A, Segev DL, Durand CM, Redd AD, Tobian AAR. HIV-Positive Liver Transplant Does not Alter the Latent Viral Reservoir in Recipients With Antiretroviral Therapy-Suppressed HIV. J Infect Dis 2023; 228:1274-1279. [PMID: 37379584 PMCID: PMC10629701 DOI: 10.1093/infdis/jiad241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/02/2023] [Accepted: 06/22/2023] [Indexed: 06/30/2023] Open
Abstract
The latent viral reservoir (LVR) remains a major barrier to HIV-1 curative strategies. It is unknown whether receiving a liver transplant from a donor with HIV might lead to an increase in the LVR because the liver is a large lymphoid organ. We found no differences in intact provirus, defective provirus, or the ratio of intact to defective provirus between recipients with ART-suppressed HIV who received a liver from a donor with (n = 19) or without HIV (n = 10). All measures remained stable from baseline by 1 year posttransplant. These data demonstrate that the LVR is stable after liver transplantation in people with HIV. Clinical Trials Registration. NCT02602262 and NCT03734393.
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Affiliation(s)
- Sarah E Benner
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Xianming Zhu
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Sarah Hussain
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Sander Florman
- Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yolanda Eby
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Reinaldo E Fernandez
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Darin Ostrander
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Meenakshi Rana
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Shane Ottmann
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jonathan Hand
- Department of Infectious Diseases, Ochsner Health, New Orleans, Louisiana, USA
| | - Jennifer C Price
- Department of Medicine, University of California San Francisco, San Francisco, California, USA
| | - Marcus R Pereira
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - David Wojciechowski
- Division of Nephrology, University of Texas Southwestern, Dallas, Texas, USA
| | - Jacques Simkins
- Department of Medicine/Division of Infectious Diseases, University of Miami School of Medicine, Miami, Florida, USA
| | - Valentina Stosor
- Departments of Medicine and Surgery, Divisions of Infectious Diseases and Organ Transplantation, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sapna A Mehta
- Department of Medicine, New York University Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Saima Aslam
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, California, USA
| | - Maricar Malinis
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Ghady Haidar
- Department of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Allan Massie
- Department of Surgery, New York University Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Melissa L Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, Kentucky, USA
| | - Jonah Odim
- Division of Extramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Megan Morsheimer
- Division of Extramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Thomas C Quinn
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Robert Siliciano
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ashwin Balagopal
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Dorry L Segev
- Department of Surgery, New York University Grossman School of Medicine, New York University Langone Health, New York, New York, USA
| | - Christine M Durand
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Andrew D Redd
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aaron A R Tobian
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, Division of Infectious Diseases, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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He Y, Wu C, Liu Z, Zhang Y, Feng F, Lin Z, Wang C, Yang Q, Wen Z, Liu Y, Zhang F, Lin Y, Zhang H, Qu L, Li L, Cai W, Sun C, Chen L, Li P. Arsenic trioxide-induced apoptosis contributes to suppression of viral reservoir in SIV-infected rhesus macaques. Microbiol Spectr 2023; 11:e0052523. [PMID: 37695104 PMCID: PMC10581169 DOI: 10.1128/spectrum.00525-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/07/2023] [Indexed: 09/12/2023] Open
Abstract
Latent viral reservoir is recognized as the major obstacle to achieving a functional cure for HIV infection. We previously reported that arsenic trioxide (As2O3) combined with antiretroviral therapy (ART) can reactivate the viral reservoir and delay viral rebound after ART interruption in chronically simian immunodeficiency virus (SIV)-infected macaques. In this study, we further investigated the effect of As2O3 independent of ART in chronically SIV-infected macaques. We found that As2O3-only treatment significantly increased the CD4/CD8 ratio, improved SIV-specific T cell responses, and reactivated viral latency in chronically SIVmac239-infected macaques. RNA-sequencing analysis revealed that As2O3 treatment downregulated the expression levels of genes related to HIV entry and infection, while the expression levels of genes related to transcription initiation, cell apoptosis, and host restriction factors were significantly upregulated. Importantly, we found that As2O3 treatment specifically induced apoptosis of SIV-infected CD4+ T cells. These findings revealed that As2O3 might not only impact viral latency, but also induce the apoptosis of HIV-infected cells and thus block the secondary infection of bystanders. Moreover, we investigated the therapeutic potential of this regimen in acutely SIVmac239-infected macaques and found that As2O3 + ART treatment effectively restored the CD4+ T cell count, delayed disease progression, and improved survival in acutely SIV-infected macaques. In sum, this work provides new insights to develop As2O3 as a component of the "shock-and-kill" strategy toward HIV functional cure. IMPORTANCE Although antiretroviral therapy (ART) can effectively suppress the viral load of AIDS patients, it cannot functionally cure HIV infection due to the existence of HIV reservoir. Strategies toward HIV functional cure are still highly anticipated to ultimately end the pandemic of AIDS. Herein, we investigated the direct role of As2O3 independent of ART in chronically SIV-infected macaques and explored the underlying mechanisms of the potential of As2O3 in the treatment of HIV/SIV infection. Meanwhile, we investigated the therapeutic effects of ART+As2O3 in acutely SIVmac239-infected macaques. This study showed that As2O3 has the potential to be launched into the "shock-and-kill" strategy to suppress HIV/SIV reservoir due to its latency-reversing and apoptosis-inducing properties.
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Affiliation(s)
- Yizi He
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chunxiu Wu
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zijian Liu
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yudi Zhang
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fengling Feng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Zihan Lin
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Congcong Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Qing Yang
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ziyu Wen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yichu Liu
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Fan Zhang
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yanqin Lin
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Hao Zhang
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Linbing Qu
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Linghua Li
- Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Weiping Cai
- Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Caijun Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Ling Chen
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangzhou Eighth People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Pingchao Li
- Guangdong Laboratory of Computational Biomedicine, Center for Infection and Immunity, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
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Ferreira RC, Wong E, Poon AFY. bayroot: Bayesian sampling of HIV-1 integration dates by root-to-tip regression. Virus Evol 2022; 9:veac120. [PMID: 36632480 PMCID: PMC9825830 DOI: 10.1093/ve/veac120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/03/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
The composition of the latent human immunodeficiency virus 1 (HIV-1) reservoir is shaped by when proviruses integrated into host genomes. These integration dates can be estimated by phylogenetic methods like root-to-tip (RTT) regression. However, RTT does not accommodate variation in the number of mutations over time, uncertainty in estimating the molecular clock, or the position of the root in the tree. To address these limitations, we implemented a Bayesian extension of RTT as an R package (bayroot), which enables the user to incorporate prior information about the time of infection and start of antiretroviral therapy. Taking an unrooted maximum likelihood tree as input, we use a Metropolis-Hastings algorithm to sample from the joint posterior distribution of three parameters (the rate of sequence evolution, i.e., molecular clock; the location of the root; and the time associated with the root). Next, we apply rejection sampling to this posterior sample of model parameters to simulate integration dates for HIV proviral sequences. To validate this method, we use the R package treeswithintrees (twt) to simulate time-scaled trees relating samples of actively and latently infected T cells from a single host. We find that bayroot yields significantly more accurate estimates of integration dates than conventional RTT under a range of model settings.
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Affiliation(s)
| | - Emmanuel Wong
- Department of Pathology and Laboratory Medicine, Western University, London, ON N6A 5C1, Canada
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Ruiz-Riol M, Brander C. Can we just kick-and-kill HIV: possible challenges posed by the epigenetically controlled interplay between HIV and host immunity. Immunotherapy 2019; 11:931-935. [PMID: 31218904 PMCID: PMC6609895 DOI: 10.2217/imt-2019-0092] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/04/2019] [Indexed: 02/06/2023] Open
Affiliation(s)
| | - Christian Brander
- IrsiCaixa AIDS Research Institute-HIVACAT, Badalona, Spain
- Universitat de Vic - Universitat Central de Catalunya (UVIC-UCC), Vic, Spain
- ICREA, Pg. Luis Companys 23, Barcelona, Spain
- AELIX Therapeutics, Barcelona, Spain
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McGary CS, Deleage C, Harper J, Micci L, Ribeiro SP, Paganini S, Kuri-Cervantes L, Benne C, Ryan ES, Balderas R, Jean S, Easley K, Marconi V, Silvestri G, Estes JD, Sekaly RP, Paiardini M. CTLA-4 +PD-1 - Memory CD4 + T Cells Critically Contribute to Viral Persistence in Antiretroviral Therapy-Suppressed, SIV-Infected Rhesus Macaques. Immunity 2017; 47:776-788.e5. [PMID: 29045906 DOI: 10.1016/j.immuni.2017.09.018] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Revised: 06/13/2017] [Accepted: 09/27/2017] [Indexed: 01/09/2023]
Abstract
Antiretroviral therapy (ART) suppresses viral replication in HIV-infected individuals but does not eliminate the reservoir of latently infected cells. Recent work identified PD-1+ follicular helper T (Tfh) cells as an important cellular compartment for viral persistence. Here, using ART-treated, SIV-infected rhesus macaques, we show that CTLA-4+PD-1- memory CD4+ T cells, which share phenotypic markers with regulatory T cells, were enriched in SIV DNA in blood, lymph nodes (LN), spleen, and gut, and contained replication-competent and infectious virus. In contrast to PD-1+ Tfh cells, SIV-enriched CTLA-4+PD-1- CD4+ T cells were found outside the B cell follicle of the LN, predicted the size of the persistent viral reservoir during ART, and significantly increased their contribution to the SIV reservoir with prolonged ART-mediated viral suppression. We have shown that CTLA-4+PD-1- memory CD4+ T cells are a previously unrecognized component of the SIV and HIV reservoir that should be therapeutically targeted for a functional HIV-1 cure.
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Affiliation(s)
- Colleen S McGary
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Claire Deleage
- AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Justin Harper
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Luca Micci
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Susan P Ribeiro
- Department of Pathology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Sara Paganini
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | | | - Clarisse Benne
- Department of Pathology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Emily S Ryan
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | | | - Sherrie Jean
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA
| | - Kirk Easley
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, GA 30329, USA
| | - Vincent Marconi
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA 30329, USA
| | - Guido Silvestri
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA 30329, USA
| | - Jacob D Estes
- AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Rafick-Pierre Sekaly
- Department of Pathology, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Mirko Paiardini
- Division of Microbiology and Immunology, Yerkes National Primate Research Center, Emory University, Atlanta, GA 30329, USA; Department of Medicine, Emory University School of Medicine, Atlanta, GA 30329, USA.
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Little SJ. Treatment of Acute HIV Infection and the Potential Role of Acutely HIV-Infected Persons in Cure Studies. Top Antivir Med 2016; 23:156-160. [PMID: 27398768 PMCID: PMC6148942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Diagnosis of acute HIV infection is important for accurate estimation of HIV incidence, identifying persons who are unaware of their HIV infection, and offering immediate treatment and risk-reduction strategies. The higher viral loads associated with acute HIV infection are associated with an increased risk of transmission. Current treatment recommendations are the same for acute and established infections. Studies of acute HIV infection indicate that initiation of antiretroviral therapy during this period may allow greater recovery of CD4+ T-cell count and function and may result in a smaller latent viral reservoir and a skewing of infection away from central memory CD4+ T cells toward shorter-lived transitional memory CD4+ T cells. This article summarizes a presentation by Susan J. Little, MD, at the IAS-USA continuing education program, Improving the Management of HIV Disease, held in Los Angeles, California, in April 2015.
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