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Sun Y, Zhou J, Jiang Y. Negative Regulation and Protective Function of Natural Killer Cells in HIV Infection: Two Sides of a Coin. Front Immunol 2022; 13:842831. [PMID: 35320945 PMCID: PMC8936085 DOI: 10.3389/fimmu.2022.842831] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/14/2022] [Indexed: 12/13/2022] Open
Abstract
Natural killer (NK) cells play an important immunologic role, targeting tumors and virus-infected cells; however, NK cells do not impede the progression of human immunodeficiency virus (HIV) infection. In HIV infection, NK cells exhibit impaired functions and negatively regulate other immune cell responses, although NK cells can kill HIV-infected cells and thereby suppress HIV replication. Considerable recent research has emerged regarding NK cells in the areas of immune checkpoints, negative regulation, antibody-dependent cell-mediated cytotoxicity and HIV reservoirs during HIV infection; however, no overall summary of these factors is available. This review focuses on several important aspects of NK cells in relation to HIV infection, including changes in NK cell count, subpopulations, and immune checkpoints, as well as abnormalities in NK cell functions and NK cell negative regulation. The protective function of NK cells in inhibiting HIV replication to reduce the viral reservoir and approaches for enhancing NK cell functions are also summarized.
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Lee DA. Cellular therapy: Adoptive immunotherapy with expanded natural killer cells. Immunol Rev 2019; 290:85-99. [DOI: 10.1111/imr.12793] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 06/27/2019] [Accepted: 06/29/2019] [Indexed: 12/21/2022]
Affiliation(s)
- Dean A. Lee
- Department of Hematology, Oncology, and Bone Marrow Transplantation Nationwide Children's Hospital Columbus Ohio
- Department of Pediatrics The Ohio State University Columbus Ohio
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Afanasyeva A, Bockwoldt M, Cooney CR, Heiland I, Gossmann TI. Human long intrinsically disordered protein regions are frequent targets of positive selection. Genome Res 2018; 28:975-982. [PMID: 29858274 PMCID: PMC6028134 DOI: 10.1101/gr.232645.117] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Accepted: 06/01/2018] [Indexed: 12/20/2022]
Abstract
Intrinsically disordered regions occur frequently in proteins and are characterized by a lack of a well-defined three-dimensional structure. Although these regions do not show a higher order of structural organization, they are known to be functionally important. Disordered regions are rapidly evolving, largely attributed to relaxed purifying selection and an increased role of genetic drift. It has also been suggested that positive selection might contribute to their rapid diversification. However, for our own species, it is currently unknown whether positive selection has played a role during the evolution of these protein regions. Here, we address this question by investigating the evolutionary pattern of more than 6600 human proteins with intrinsically disordered regions and their ordered counterparts. Our comparative approach with data from more than 90 mammalian genomes uses a priori knowledge of disordered protein regions, and we show that this increases the power to detect positive selection by an order of magnitude. We can confirm that human intrinsically disordered regions evolve more rapidly, not only within humans but also across the entire mammalian phylogeny. They have, however, experienced substantial evolutionary constraint, hinting at their fundamental functional importance. We find compelling evidence that disordered protein regions are frequent targets of positive selection and estimate that the relative rate of adaptive substitutions differs fourfold between disordered and ordered protein regions in humans. Our results suggest that disordered protein regions are important targets of genetic innovation and that the contribution of positive selection in these regions is more pronounced than in other protein parts.
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Affiliation(s)
- Arina Afanasyeva
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S102TN, United Kingdom.,Institute of Nanobiotechnologies, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg 195251, Russia.,Petersburg Nuclear Physics Institute, B.P. Konstantinov NRC Kurchatov Institute, Gatchina, Leningrad District 188300, Russia.,National Institutes of Biomedical Innovation, Health and Nutrition, Ibaraki City, Osaka 567-0085, Japan
| | - Mathias Bockwoldt
- Department of Arctic and Marine Biology, UiT The Arctic University of Norway, 9037 Tromsø, Norway
| | - Christopher R Cooney
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S102TN, United Kingdom
| | - Ines Heiland
- Department of Arctic and Marine Biology, UiT The Arctic University of Norway, 9037 Tromsø, Norway
| | - Toni I Gossmann
- Department of Animal and Plant Sciences, University of Sheffield, Sheffield S102TN, United Kingdom
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Sorrenti V, Marenda B, Fortinguerra S, Cecchetto C, Quartesan R, Zorzi G, Zusso M, Giusti P, Buriani A. Reference Values for a Panel of Cytokinergic and Regulatory Lymphocyte Subpopulations. Immune Netw 2016; 16:344-357. [PMID: 28035210 PMCID: PMC5195844 DOI: 10.4110/in.2016.16.6.344] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 12/03/2016] [Accepted: 12/09/2016] [Indexed: 12/11/2022] Open
Abstract
Lymphocyte subpopulations producing cytokines and exerting regulatory functions represent key immune elements. Given their reciprocal interdependency lymphocyte subpopulations are usually assayed as diagnostic panels, rather than single biomarkers for specialist clinical use. This retrospective analysis on lymphocyte subpopulations, analyzed over the last few years in an outpatient laboratory in Northeast Italy, contributes to the establishment of reference values for several regulatory lymphocytes currently lacking such reference ranges for the general population. Mean values and ranges in a sample of Caucasian patients (mean age 42±8,5 years), were provided for Th1, Th2, Th17, Th-reg, Tc-reg, Tc-CD57+ and B1 lymphocytes. The results are consistent with what is found in literature for the single subtypes and are: Th1 157.8±60.3/µl (7.3%±2.9); Th2 118.2±52.2/µl (5.4%±2.5); Th17 221.6±90.2/µl (10.5%±4.4); Th-reg 15.1±10.2/µl (0.7%±0.4); Tc-reg 5.8±4.7/µl (0.3%±0.2); Tc-CD57+ 103.7±114.1/µl (4.6%±4.7); B1 33.7±22.8/µl (1.5%±0.9); (Values are mean±SD). The results show that despite their variability, mean values are rather consistent in all age or sex groups and can be used as laboratory internal reference for this regulatory panel. Adding regulatory cells to lymphocyte subpopulations panels allows a more complete view of the state of the subject's immune network balance, thus improving the personalization and the "actionability" of diagnostic data in a systems medicine perspective.
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Affiliation(s)
- Vincenzo Sorrenti
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy.; Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova 35100, Italy
| | - Bruno Marenda
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy
| | - Stefano Fortinguerra
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy.; Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova 35100, Italy
| | - Claudia Cecchetto
- Department of Biomedical Sciences, University of Padova, Padova 35100, Italy
| | - Roberta Quartesan
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy
| | - Giulia Zorzi
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy
| | - Morena Zusso
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova 35100, Italy
| | - Pietro Giusti
- Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova 35100, Italy
| | - Alessandro Buriani
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, Padova 35100, Italy.; Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Padova 35100, Italy
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