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Borghesi A. Life-threatening infections in human newborns: Reconciling age-specific vulnerability and interindividual variability. Cell Immunol 2024; 397-398:104807. [PMID: 38232634 DOI: 10.1016/j.cellimm.2024.104807] [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: 10/29/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/19/2024]
Abstract
In humans, the interindividual variability of clinical outcome following exposure to a microorganism is immense, ranging from silent infection to life-threatening disease. Age-specific immune responses partially account for the high incidence of infection during the first 28 days of life and the related high mortality at population level. However, the occurrence of life-threatening disease in individual newborns remains unexplained. By contrast, inborn errors of immunity and their immune phenocopies are increasingly being discovered in children and adults with life-threatening viral, bacterial, mycobacterial and fungal infections. There is a need for convergence between the fields of neonatal immunology, with its in-depth population-wide characterization of newborn-specific immune responses, and clinical immunology, with its investigations of infections in patients at the cellular and molecular levels, to facilitate identification of the mechanisms of susceptibility to infection in individual newborns and the design of novel preventive and therapeutic strategies.
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Affiliation(s)
- Alessandro Borghesi
- Neonatal Intensive Care Unit, San Matteo Research Hospital, Pavia, EU, Italy; School of Life Sciences, Swiss Federal Institute of Technology, Lausanne, Switzerland.
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Semenova L, Wang Y, Falcinelli S, Archin N, Cooper-Volkheimer AD, Margolis DM, Goonetilleke N, Murdoch DM, Rudin CD, Browne EP. Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.16.567386. [PMID: 38014340 PMCID: PMC10680759 DOI: 10.1101/2023.11.16.567386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Antiretroviral therapy (ART) halts HIV replication; however, cellular / immue cell viral reservoirs persist despite ART. Understanding the interplay between the HIV reservoir, immune perturbations, and HIV-specific immune responses on ART may yield insights into HIV persistence. A cross-sectional study of peripheral blood samples from 115 people with HIV (PWH) on long-term ART was conducted. High-dimensional immunophenotyping, quantification of HIV-specific T cell responses, and the intact proviral DNA assay (IPDA) were performed. Total and intact HIV DNA was positively correlated with T cell activation and exhaustion. Years of ART and select bifunctional HIV-specific CD4 T cell responses were negatively correlated with the percentage of intact proviruses. A Leave-One-Covariate-Out (LOCO) inference approach identified specific HIV reservoir and clinical-demographic parameters that were particularly important in predicting select immunophenotypes. Dimension reduction revealed two main clusters of PWH with distinct reservoirs. Additionally, machine learning approaches identified specific combinations of immune and clinical-demographic parameters that predicted with approximately 70% accuracy whether a given participant had qualitatively high or low levels of total or intact HIV DNA. The techniques described here may be useful for assessing global patterns within the increasingly high-dimensional data used in HIV reservoir and other studies of complex biology.
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Siegel DA, Thanh C, Wan E, Hoh R, Hobbs K, Pan T, Gibson EA, Kroetz DL, Martin J, Hecht F, Pilcher C, Martin M, Carrington M, Pillai S, Busch MP, Stone M, Levy CN, Huang ML, Roychoudhury P, Hladik F, Jerome KR, Kiem HP, Henrich TJ, Deeks SG, Lee SA. Host variation in type I interferon signaling genes (MX1), C-C chemokine receptor type 5 gene, and major histocompatibility complex class I alleles in treated HIV+ noncontrollers predict viral reservoir size. AIDS 2023; 37:477-488. [PMID: 36695358 PMCID: PMC9894159 DOI: 10.1097/qad.0000000000003428] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/28/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVE Prior genomewide association studies have identified variation in major histocompatibility complex (MHC) class I alleles and C-C chemokine receptor type 5 gene (CCR5Δ32) as genetic predictors of viral control, especially in 'elite' controllers, individuals who remain virally suppressed in the absence of therapy. DESIGN Cross-sectional genomewide association study. METHODS We analyzed custom whole exome sequencing and direct human leukocyte antigen (HLA) typing from 202 antiretroviral therapy (ART)-suppressed HIV+ noncontrollers in relation to four measures of the peripheral CD4+ T-cell reservoir: HIV intact DNA, total (t)DNA, unspliced (us)RNA, and RNA/DNA. Linear mixed models were adjusted for potential covariates including age, sex, nadir CD4+ T-cell count, pre-ART HIV RNA, timing of ART initiation, and duration of ART suppression. RESULTS Previously reported 'protective' host genetic mutations related to viral setpoint (e.g. among elite controllers) were found to predict smaller HIV reservoir size. The HLA 'protective' B∗57:01 was associated with significantly lower HIV usRNA (q = 3.3 × 10-3), and among the largest subgroup, European ancestry individuals, the CCR5Δ32 deletion was associated with smaller HIV tDNA (P = 4.3 × 10-3) and usRNA (P = 8.7 × 10-3). In addition, genomewide analysis identified several single nucleotide polymorphisms in MX1 (an interferon stimulated gene) that were significantly associated with HIV tDNA (q = 0.02), and the direction of these associations paralleled MX1 gene eQTL expression. CONCLUSIONS We observed a significant association between previously reported 'protective' MHC class I alleles and CCR5Δ32 with the HIV reservoir size in noncontrollers. We also found a novel association between MX1 and HIV total DNA (in addition to other interferon signaling relevant genes, PPP1CB, DDX3X). These findings warrant further investigation in future validation studies.
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Affiliation(s)
- David A. Siegel
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
| | | | | | - Rebecca Hoh
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
| | - Kristen Hobbs
- Department of Medicine, Division of Experimental Medicine
| | - Tony Pan
- Department of Medicine, Division of Experimental Medicine
| | | | | | - Jeffrey Martin
- Department of Biostatistics & Epidemiology, University of California San Francisco, California
| | - Frederick Hecht
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
| | - Christopher Pilcher
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
| | - Maureen Martin
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts
| | | | | | - Mars Stone
- Vitalant Blood Bank, San Francisco, California
| | | | - Meei-Li Huang
- Department of Laboratory Medicine and Pathology, University of Washington
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Pavitra Roychoudhury
- Department of Laboratory Medicine and Pathology, University of Washington
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Florian Hladik
- Department of Obstetrics and Gynecology
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Keith R. Jerome
- Department of Laboratory Medicine and Pathology, University of Washington
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Hans-Peter Kiem
- Department of Laboratory Medicine and Pathology, University of Washington
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | - Steven G. Deeks
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
| | - Sulggi A. Lee
- Department of Medicine, Division of HIV, Infectious Diseases & Global Medicine
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Lau CY, Adan MA, Maldarelli F. Why the HIV Reservoir Never Runs Dry: Clonal Expansion and the Characteristics of HIV-Infected Cells Challenge Strategies to Cure and Control HIV Infection. Viruses 2021; 13:2512. [PMID: 34960781 PMCID: PMC8708047 DOI: 10.3390/v13122512] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/22/2021] [Accepted: 11/27/2021] [Indexed: 12/13/2022] Open
Abstract
Antiretroviral therapy (ART) effectively reduces cycles of viral replication but does not target proviral populations in cells that persist for prolonged periods and that can undergo clonal expansion. Consequently, chronic human immunodeficiency virus (HIV) infection is sustained during ART by a reservoir of long-lived latently infected cells and their progeny. This proviral landscape undergoes change over time on ART. One of the forces driving change in the landscape is the clonal expansion of infected CD4 T cells, which presents a key obstacle to HIV eradication. Potential mechanisms of clonal expansion include general immune activation, antigenic stimulation, homeostatic proliferation, and provirus-driven clonal expansion, each of which likely contributes in varying, and largely unmeasured, amounts to maintaining the reservoir. The role of clinical events, such as infections or neoplasms, in driving these mechanisms remains uncertain, but characterizing these forces may shed light on approaches to effectively eradicate HIV. A limited number of individuals have been cured of HIV infection in the setting of bone marrow transplant; information from these and other studies may identify the means to eradicate or control the virus without ART. In this review, we describe the mechanisms of HIV-1 persistence and clonal expansion, along with the attempts to modify these factors as part of reservoir reduction and cure strategies.
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Affiliation(s)
- Chuen-Yen Lau
- HIV Dynamics and Replication Program, NCI, NIH, Bethesda, MD 20892, USA; (C.-Y.L.); (M.A.A.)
| | - Matthew A. Adan
- HIV Dynamics and Replication Program, NCI, NIH, Bethesda, MD 20892, USA; (C.-Y.L.); (M.A.A.)
- Vagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA
| | - Frank Maldarelli
- HIV Dynamics and Replication Program, NCI, NIH, Bethesda, MD 20892, USA; (C.-Y.L.); (M.A.A.)
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Zhang Z, Trypsteen W, Blaauw M, Chu X, Rutsaert S, Vandekerckhove L, van der Heijden W, Dos Santos JC, Xu CJ, Swertz MA, van der Ven A, Li Y. IRF7 and RNH1 are modifying factors of HIV-1 reservoirs: a genome-wide association analysis. BMC Med 2021; 19:282. [PMID: 34781942 PMCID: PMC8594146 DOI: 10.1186/s12916-021-02156-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 10/07/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Combination antiretroviral treatment (cART) cannot eradicate HIV-1 from the body due to the establishment of persisting viral reservoirs which are not affected by therapy and reinitiate new rounds of HIV-1 replication after treatment interruption. These HIV-1 reservoirs mainly comprise long-lived resting memory CD4+ T cells and are established early after infection. There is a high variation in the size of these viral reservoirs among virally suppressed individuals. Identification of host factors that contribute to or can explain this observed variation could open avenues for new HIV-1 treatment strategies. METHODS In this study, we conducted a genome-wide quantitative trait locus (QTL) analysis to probe functionally relevant genetic variants linked to levels of cell-associated (CA) HIV-1 DNA, CA HIV-1 RNA, and RNA:DNA ratio in CD4+ T cells isolated from blood from a cohort of 207 (Caucasian) people living with HIV-1 (PLHIV) on long-term suppressive antiretroviral treatment (median = 6.6 years). CA HIV-1 DNA and CA HIV-1 RNA levels were measured with corresponding droplet digital PCR (ddPCR) assays, and genotype information of 522,455 single-nucleotide variants was retrieved via the Infinium Global Screening array platform. RESULTS The analysis resulted in one significant association with CA HIV-1 DNA (rs2613996, P < 5 × 10-8) and two suggestive associations with RNA:DNA ratio (rs7113204 and rs7817589, P < 5 × 10-7). Then, we prioritized PTDSS2, IRF7, RNH1, and DEAF1 as potential HIV-1 reservoir modifiers and validated that higher expressions of IRF7 and RNH1 were accompanied by rs7113204-G. Moreover, RNA:DNA ratio, indicating relative HIV-1 transcription activity, was lower in PLHIV carrying this variant. CONCLUSIONS The presented data suggests that the amount of CA HIV-1 DNA and RNA:DNA ratio can be influenced through PTDSS2, RNH1, and IRF7 that were anchored by our genome-wide association analysis. Further, these observations reveal potential host genetic factors affecting the size and transcriptional activity of HIV-1 reservoirs and could indicate new targets for HIV-1 therapeutic strategies.
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Affiliation(s)
- Zhenhua Zhang
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands.,Department of Genetics, University Medical Center Groningen, 9700RB, Groningen, the Netherlands.,Genomics Coordination Center, University Medical Center Groningen, 9700RB, Groningen, the Netherlands.,Department of Computational Biology for Individualised Medicine, Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Wim Trypsteen
- HIV Cure Research Center, Department of Internal Medicine, and Pediatrics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Marc Blaauw
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands
| | - Xiaojing Chu
- Department of Genetics, University Medical Center Groningen, 9700RB, Groningen, the Netherlands.,Department of Computational Biology for Individualised Medicine, Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.,TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Sofie Rutsaert
- HIV Cure Research Center, Department of Internal Medicine, and Pediatrics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Linos Vandekerckhove
- HIV Cure Research Center, Department of Internal Medicine, and Pediatrics, Ghent University and Ghent University Hospital, Ghent, Belgium
| | - Wouter van der Heijden
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands
| | - Jéssica Cristina Dos Santos
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands
| | - Cheng-Jian Xu
- Department of Computational Biology for Individualised Medicine, Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.,TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Morris A Swertz
- Department of Genetics, University Medical Center Groningen, 9700RB, Groningen, the Netherlands.,Genomics Coordination Center, University Medical Center Groningen, 9700RB, Groningen, the Netherlands
| | - Andre van der Ven
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands.
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525HP, Nijmegen, the Netherlands. .,Department of Genetics, University Medical Center Groningen, 9700RB, Groningen, the Netherlands. .,Department of Computational Biology for Individualised Medicine, Centre for Individualised Infection Medicine, CiiM, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany. .,TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
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