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Espineira S, Flores-Piñas M, Chafino S, Viladés C, Negredo E, Fernández-Arroyo S, Mallolas J, Villar B, Moreno S, Vidal F, Rull A, Peraire J. Multi-omics in HIV: searching insights to understand immunological non-response in PLHIV. Front Immunol 2023; 14:1228795. [PMID: 37649488 PMCID: PMC10465175 DOI: 10.3389/fimmu.2023.1228795] [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] [Received: 05/25/2023] [Accepted: 07/25/2023] [Indexed: 09/01/2023] Open
Abstract
Antiretroviral therapy (ART) induces persistent suppression of HIV-1 replication and gradual recovery of T-cell counts, and consequently, morbidity and mortality from HIV-related illnesses have been significantly reduced. However, in approximately 30% of people living with HIV (PLHIV) on ART, CD4+ T-cell counts fail to normalize despite ART and complete suppression of HIV viral load, resulting in severe immune dysfunction, which may represent an increased risk of clinical progression to AIDS and non-AIDS events as well as increased mortality. These patients are referred to as "immune inadequate responders", "immunodiscordant responders" or "immune nonresponders (INR)". The molecular mechanisms underlying poor CD4+ T-cell recovery are still unclear. In this sense, the use of omics sciences has shed light on possible factors involved in the activity and metabolic dysregulation of immune cells during the failure of CD4+ T-cell recovery in INR. Moreover, identification of key molecules by omics approaches allows for the proposal of potential biomarkers or therapeutic targets to improve CD4+ T-cell recovery and the quality of life of these patients. Hence, this review aimed to summarize the information obtained through different omics concerning the molecular factors and pathways associated with the INR phenotype to better understand the complexity of this immunological status in HIV infection.
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Affiliation(s)
- Sonia Espineira
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Marina Flores-Piñas
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
| | - Silvia Chafino
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Consuelo Viladés
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Eugenia Negredo
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Lluita contra les Infeccions, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
- Universitat de Vic - Universitat Central de Catalunya, Vic, Spain
| | - Salvador Fernández-Arroyo
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences, Joint Unit Eurecat-Universitat Rovira i Virgili, Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Josep Mallolas
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- HIV Unit, Hospital Clínic-Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Beatriz Villar
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Santiago Moreno
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Department of Infectious Diseases, University Hospital Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain
- Universidad de Alcalá (UAH), Madrid, Spain
| | - Francesc Vidal
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Rull
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Joaquim Peraire
- Infection and Immunity Research Group (INIM), Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Infection and Immunity Research Group (INIM), Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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Alvarez-Rivera E, Ortiz-Hernández EJ, Lugo E, Lozada-Reyes LM, Boukli NM. Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms. Proteomes 2023; 11:22. [PMID: 37489388 PMCID: PMC10366845 DOI: 10.3390/proteomes11030022] [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: 03/30/2023] [Revised: 06/09/2023] [Accepted: 06/29/2023] [Indexed: 07/26/2023] Open
Abstract
Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.
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Affiliation(s)
- Eduardo Alvarez-Rivera
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Emanuel J. Ortiz-Hernández
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Elyette Lugo
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | | | - Nawal M. Boukli
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
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Macur K, Zieschang S, Lei S, Morsey B, Jaquet S, Belshan M, Fox HS, Ciborowski P. SWATH-MS and MRM: Quantification of Ras-related proteins in HIV-1 infected and methamphetamine-exposed human monocyte-derived macrophages (hMDM). Proteomics 2021; 21:e2100005. [PMID: 34051048 PMCID: PMC9977323 DOI: 10.1002/pmic.202100005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/25/2021] [Accepted: 05/26/2021] [Indexed: 12/30/2022]
Abstract
HIV-1 infection of macrophages is a multistep and multifactorial process that has been shown to be enhanced by exposure to methamphetamine (Meth). In this study, we sought to identify the underlying mechanisms of this effect by quantifying the effect of Meth on the proteome of HIV-1-infected macrophages using sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS) approach. The analyses identified several members of the Rab family of proteins as being dysregulated by Meth treatment, which was confirmed by bioinformatic analyses that indicated substantial alteration of vesicular transport pathways. Validation of the SWATH-MS was performed using an MRM based approach, which confirmed that Meth exposure affects expression of the Rab proteins. However, the pattern of expression changes were highly dynamic, and displayed high donor-to-donor variability. Surprisingly a similar phenomenon was observed for Actin. Our results demonstrate that Meth affects vesicular transport pathways, suggesting a possible molecular mechanism underlying its effect on HIV infection hMDM and a potential broader effect of Meth on cellular homeostasis.
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Affiliation(s)
- Katarzyna Macur
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE,Core Facility Laboratories, Intercollegiate Faculty of Biotechnology, University of Gdańsk and Medical University of Gdańsk, Poland
| | - Sarah Zieschang
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Shulei Lei
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Brenda Morsey
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Spencer Jaquet
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Michael Belshan
- Department of Medical Microbiology and Immunology, Creighton University School of Medicine, Omaha, NE
| | - Howard S. Fox
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Pawel Ciborowski
- Department of Pharmacology and Experimental Neuroscience, School of Medicine, University of Nebraska Medical Center, Omaha, NE,Corresponding author: Dr. Pawel Ciborowski, Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, 985800 University of Nebraska Medical Center, Omaha, NE 68198-5800, phone +1 (402) 559-3733, fax +1 (402) 559-7495
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Grabowska K, Harwood E, Ciborowski P. HIV and Proteomics: What We Have Learned from High Throughput Studies. Proteomics Clin Appl 2021; 15:e2000040. [PMID: 32978881 PMCID: PMC7900993 DOI: 10.1002/prca.202000040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 09/04/2020] [Indexed: 12/17/2022]
Abstract
The accelerated development of technology over the last three decades has driven biological sciences to high-throughput profiling experiments, now broadly referred to as systems biology. The unprecedented improvement of analytical instrumentation has opened new avenues for more complex experimental designs and expands the knowledge in genomics, proteomics, and other omics fields. Despite the collective efforts of hundreds of researchers, gleaning all the expected information from omics experiments is still quite far. This paper summarizes what has been learned from high-throughput proteomics studies thus far, and what is believed should be done to reveal even more valuable information from such studies. It is drawn from the background in using proteomics to study human immunodeficiency virus 1 infection of macrophages and/or T cells, but it is believed that some conclusions will be more broadly applicable.
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Affiliation(s)
- Kinga Grabowska
- Laboratory of Virus Molecular BiologyIntercollegiate Faculty of BiotechnologyUniversity of GdanskGdansk80‐307Poland
- Department of Pharmacology and Experimental NeuroscienceCollege of MedicineUniversity of Nebraska Medical CenterOmahaNE68198‐5800USA
| | - Emma Harwood
- Department of Pharmacology and Experimental NeuroscienceCollege of MedicineUniversity of Nebraska Medical CenterOmahaNE68198‐5800USA
| | - Pawel Ciborowski
- Department of Pharmacology and Experimental NeuroscienceCollege of MedicineUniversity of Nebraska Medical CenterOmahaNE68198‐5800USA
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