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Bjorgen JC, Dick JK, Cromarty R, Hart GT, Rhein J. NK cell subsets and dysfunction during viral infection: a new avenue for therapeutics? Front Immunol 2023; 14:1267774. [PMID: 37928543 PMCID: PMC10620977 DOI: 10.3389/fimmu.2023.1267774] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 09/25/2023] [Indexed: 11/07/2023] Open
Abstract
In the setting of viral challenge, natural killer (NK) cells play an important role as an early immune responder against infection. During this response, significant changes in the NK cell population occur, particularly in terms of their frequency, location, and subtype prevalence. In this review, changes in the NK cell repertoire associated with several pathogenic viral infections are summarized, with a particular focus placed on changes that contribute to NK cell dysregulation in these settings. This dysregulation, in turn, can contribute to host pathology either by causing NK cells to be hyperresponsive or hyporesponsive. Hyperresponsive NK cells mediate significant host cell death and contribute to generating a hyperinflammatory environment. Hyporesponsive NK cell populations shift toward exhaustion and often fail to limit viral pathogenesis, possibly enabling viral persistence. Several emerging therapeutic approaches aimed at addressing NK cell dysregulation have arisen in the last three decades in the setting of cancer and may prove to hold promise in treating viral diseases. However, the application of such therapeutics to treat viral infections remains critically underexplored. This review briefly explores several therapeutic approaches, including the administration of TGF-β inhibitors, immune checkpoint inhibitors, adoptive NK cell therapies, CAR NK cells, and NK cell engagers among other therapeutics.
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Affiliation(s)
- Jacob C. Bjorgen
- Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
| | - Jenna K. Dick
- Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States
- Center for Immunology, University of Minnesota, Minneapolis, MN, United States
| | - Ross Cromarty
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States
| | - Geoffrey T. Hart
- Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States
- Center for Immunology, University of Minnesota, Minneapolis, MN, United States
| | - Joshua Rhein
- Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
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De Re V, Tornesello ML, Racanelli V, Prete M, Steffan A. Non-Classical HLA Class 1b and Hepatocellular Carcinoma. Biomedicines 2023; 11:1672. [PMID: 37371767 PMCID: PMC10296335 DOI: 10.3390/biomedicines11061672] [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: 04/28/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
A number of studies are underway to gain a better understanding of the role of immunity in the pathogenesis of hepatocellular carcinoma and to identify subgroups of individuals who may benefit the most from systemic therapy according to the etiology of their tumor. Human leukocyte antigens play a key role in antigen presentation to T cells. This is fundamental to the host's defense against pathogens and tumor cells. In addition, HLA-specific interactions with innate lymphoid cell receptors, such those present on natural killer cells and innate lymphoid cell type 2, have been shown to be important activators of immune function in the context of several liver diseases. More recent studies have highlighted the key role of members of the non-classical HLA-Ib and the transcript adjacent to the HLA-F locus, FAT10, in hepatocarcinoma. The present review analyzes the major contribution of these molecules to hepatic viral infection and hepatocellular prognosis. Particular attention has been paid to the association of natural killer and Vδ2 T-cell activation, mediated by specific HLA class Ib molecules, with risk assessment and novel treatment strategies to improve immunotherapy in HCC.
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Affiliation(s)
- Valli De Re
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), 33081 Aviano, Italy;
| | - Maria Lina Tornesello
- Molecular Biology and Viral Oncology Unit, Istituto Nazionale Tumori IRCCS “Fondazione G. Pascale”, 80131 Naples, Italy;
| | - Vito Racanelli
- Department of Interdisciplinary Medicine, School of Medicine, ‘Aldo Moro’ University of Bari, 70124 Bari, Italy; (V.R.); (M.P.)
| | - Marcella Prete
- Department of Interdisciplinary Medicine, School of Medicine, ‘Aldo Moro’ University of Bari, 70124 Bari, Italy; (V.R.); (M.P.)
| | - Agostino Steffan
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), 33081 Aviano, Italy;
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Frias M, Moyano JM, Rivero-Juarez A, Luna JM, Camacho Á, Fardoun HM, Machuca I, Al-Twijri M, Rivero A, Ventura S. Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach. J Med Internet Res 2021; 23:e18766. [PMID: 33624609 PMCID: PMC7946589 DOI: 10.2196/18766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 11/02/2020] [Accepted: 12/17/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The dataset from genes used to predict hepatitis C virus outcome was evaluated in a previous study using a conventional statistical methodology. OBJECTIVE The aim of this study was to reanalyze this same dataset using the data mining approach in order to find models that improve the classification accuracy of the genes studied. METHODS We built predictive models using different subsets of factors, selected according to their importance in predicting patient classification. We then evaluated each independent model and also a combination of them, leading to a better predictive model. RESULTS Our data mining approach identified genetic patterns that escaped detection using conventional statistics. More specifically, the partial decision trees and ensemble models increased the classification accuracy of hepatitis C virus outcome compared with conventional methods. CONCLUSIONS Data mining can be used more extensively in biomedicine, facilitating knowledge building and management of human diseases.
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Affiliation(s)
- Mario Frias
- Department of Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Jose M Moyano
- Department of Computer Science and Numerical Analysis, University of Córdoba, Córdoba, Spain
- Knowledge Discovery and Intelligent Systems in Biomedicine Laboratory, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Antonio Rivero-Juarez
- Department of Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Jose M Luna
- Department of Computer Science and Numerical Analysis, University of Córdoba, Córdoba, Spain
- Knowledge Discovery and Intelligent Systems in Biomedicine Laboratory, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Ángela Camacho
- Department of Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Habib M Fardoun
- Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Isabel Machuca
- Department of Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Mohamed Al-Twijri
- Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Antonio Rivero
- Department of Clinical Virology and Zoonoses, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
| | - Sebastian Ventura
- Department of Computer Science and Numerical Analysis, University of Córdoba, Córdoba, Spain
- Knowledge Discovery and Intelligent Systems in Biomedicine Laboratory, Maimonides Biomedical Research Institute of Córdoba, Córdoba, Spain
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Can Direct-Acting Antiviral Treatment Change the Immunologic Risk Profile in Patients Infected with Hepatitis C Virus Who Are on the Cadaveric Waiting List? Transplant Proc 2020; 52:97-101. [PMID: 31901328 DOI: 10.1016/j.transproceed.2019.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/11/2019] [Accepted: 10/06/2019] [Indexed: 12/09/2022]
Abstract
BACKGROUND In patients with hepatitis C virus (HCV) infection, the activation of the immune system by the virus or viral proteins leads to the production of numerous autoantibodies and clinical manifestations. The objectives of this study were to investigate the relationship between HCV and anti-HLA antibodies, as well as the effect of viremia on the antibody response and of direct-acting antivirals (DAAs) on anti-HLA antibody persistence in patients on the waiting list for a cadaveric kidney transplant. METHODS A total of 395 patients from the cadaveric renal transplant waiting list were included in the study. The patients were grouped according to the presence of HCV infection, and patients with HCV positivity were further divided into a spontaneous clearance group and a persistent group. Anti-HLA antibodies were examined before and after treatment of the patients in the persistent group. The One Lambda Luminex method (Thermo Fisher Scientific, Waltham, MA, United States) was used to assess both HLA class I and II alleles and the anti-HLA antibody profile. RESULTS Anti-HLA class I and II antibodies were detected in 48.2% and 55.1%, respectively, of the patients infected with HCV and in 21.8% and 20.4%, respectively, of the patients who were not infected. The level of anti-HLA A3, A11, B72, B52, Cw6, Cw16, DR3, and DQ4 antibodies was significantly higher in the patients infected with HCV. There was no statistically significant difference in class I and II antibody titration between the HCV-infected spontaneous clearance group and the persistent group (class I mean fluorescence intensity [MFI] ± SD: 13,583 ± 6224, 13,450 ± 9540, P = .808; Class II MFI ± SD: 13,000 ± 8673, 8440 ± 8302, P = .317, respectively). There was no significant difference in the class I and class II anti-HLA antibody profile and titration in the persistent group after treatment with DAAs (P > .05). CONCLUSIONS The results of this study demonstrated that hepatitis C DAA treatment did not change the anti-HLA antibody profile and titration.
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Abstract
Many microbes, toxins, autoimmune diseases, and neoplastic diseases may cause liver inflammation; however, 5 viruses whose main pathogenesis is liver disease are referred to as hepatitis A, B, C, D, and E viruses. These viruses cause a significant burden of global illness. With the exception of hepatitis A virus, all may cause chronic infection potentially leading to cirrhosis and hepatocellular carcinoma. Excellent serologic and nucleic acid detection methods are available for determining the precise cause and, in some cases, the duration of infection. Diagnostics are critical for identifying individuals needing treatment and for monitoring the treatment success.
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Affiliation(s)
- Kunatum Prasidthrathsint
- Division of Infectious Diseases, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA; Division of Clinical Microbiology, Department of Pathology, University of Iowa Carver College of Medicine, Iowa City, IA, USA; Department of Microbiology and Immunology, University of Iowa Carver College of Medicine, Iowa City, IA, USA; University of Iowa Hospitals and Clinics, SW54, GH, 200 Hawkins Drive, Iowa City, IA 52242, USA; Medicine and Research Services, Iowa City Veterans Administration Health Care Center, Iowa City, IA, USA
| | - Jack T Stapleton
- Division of Infectious Diseases, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA; Department of Microbiology and Immunology, University of Iowa Carver College of Medicine, Iowa City, IA, USA; University of Iowa Hospitals and Clinics, SW54, GH, 200 Hawkins Drive, Iowa City, IA 52242, USA; Medicine and Research Services, Iowa City Veterans Administration Health Care Center, Iowa City, IA, USA.
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Frias M, Rivero-Juárez A, López-López P, Rivero A. Pharmacogenetics and the treatment of HIV-/HCV-coinfected patients. Pharmacogenomics 2018; 19:979-995. [PMID: 29992850 DOI: 10.2217/pgs-2018-0046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
This review will summarize the role of pharmacogenetics in the natural history of hepatitis C, particularly in patients with HIV/HCV and will take the perspective of pharmacogenetics and its influence on the response to antiviral therapy and the susceptibility to develop adverse effects. This review will also devote a section to host genetics in other clinical situations, such as disease progression and acute HCV infection, which may determine whether treatment of HIV-/HCV-coinfected patients is implemented or deferred.
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Affiliation(s)
- Mario Frias
- Department of Clinical Virology & Zooneses, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Universidad de Córdoba. Córdoba, 14004, Spain
| | - Antonio Rivero-Juárez
- Department of Clinical Virology & Zooneses, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Universidad de Córdoba. Córdoba, 14004, Spain
| | - Pedro López-López
- Department of Clinical Virology & Zooneses, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Universidad de Córdoba. Córdoba, 14004, Spain
| | - Antonio Rivero
- Department of Clinical Virology & Zooneses, Hospital Universitario Reina Sofía de Córdoba, Instituto Maimonides de Investigación Biomédica de Córdoba (IMIBIC), Universidad de Córdoba. Córdoba, 14004, Spain
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