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Alba-Cano T, Fernández-Cruz E, Alonso R, Muñoz-Gómez S, Pérez de Diego R, García Martínez E, Sánchez-Mateos P, Navarro Caspistegui J, Martín López M, Gil-Herrera J. Lack of Specific Immune Response after Five Doses of mRNA SARS-CoV-2 Vaccine in a Patient with CD4 + T-Cell Lymphopenia but Preserved Responses to CMV. Vaccines (Basel) 2024; 12:386. [PMID: 38675768 PMCID: PMC11054516 DOI: 10.3390/vaccines12040386] [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: 02/20/2024] [Revised: 03/15/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
Immunogenicity of SARS-CoV-2 mRNA vaccines is highly heterogeneous in patients with inborn errors of immunity (IEIs). This case report analyzes the immune response to mRNA COVID-19 two-dose primary vaccination followed by three boosters in an IEI patient with marked CD4+ T-cell cytopenia and diminished thymic output, in comparison with that raised against latent, chronic cytomegalovirus (CMV) infection. Serum IgG antibodies anti-spike (S) protein of SARS-CoV-2 and anti-CMV were both determined by chemiluminescent microparticle immunoassays (CMIAs). SARS-CoV-2 and CMV memory CD4+ T-cell responses were simultaneously evaluated in vitro using an activation-induced marker (AIM) assay via multicolor flow cytometry. Throughout the 2-year follow-up that included the administration of five doses of SARS-CoV-2 mRNA vaccines, cellular anti-SARS-CoV-2-specific responses remained consistently negative, with extremely weak humoral responses, while the patient showed in vitro persistent CD4+ T-cell reactivity to CMV peptides and high-IgG CMV-specific titers. The assessment of immune responses to vaccines and prevalent viruses is essential in IEI patients in order to take adequate preventive measures.
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Affiliation(s)
- Trinidad Alba-Cano
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
| | - Eduardo Fernández-Cruz
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), 28007 Madrid, Spain
| | - Roberto Alonso
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), 28007 Madrid, Spain
- Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón and CIBER (Centro de Investigación Biomédicas en Red) de Enfermedades Respiratorias, CIBERES, 08028 Barcelona, Spain;
| | - Sara Muñoz-Gómez
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
| | - Rebeca Pérez de Diego
- Laboratory of Immunogenetics of Human Diseases, Innate Immunity Group, IdiPAZ Institute for Health Research, La Paz Hospital, 28046 Madrid, Spain;
| | - Elena García Martínez
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
| | - Paloma Sánchez-Mateos
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Universidad Complutense, 28040 Madrid, Spain;
| | - Joaquín Navarro Caspistegui
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), 28007 Madrid, Spain
| | - Mónica Martín López
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
| | - Juana Gil-Herrera
- Division of Immunology, Hospital General Universitario “Gregorio Marañón”, 28007 Madrid, Spain; (T.A.-C.); (E.F.-C.); (S.M.-G.); (E.G.M.); (J.N.C.); (M.M.L.)
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), 28007 Madrid, Spain
- Department of Immunology, Ophthalmology and ENT, School of Medicine, Universidad Complutense, 28040 Madrid, Spain;
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Attardi E, Corey SJ, Wlodarski MW. Clonal hematopoiesis in children with predisposing conditions. Semin Hematol 2024; 61:35-42. [PMID: 38311515 DOI: 10.1053/j.seminhematol.2024.01.005] [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: 12/25/2023] [Revised: 01/02/2024] [Accepted: 01/10/2024] [Indexed: 02/06/2024]
Abstract
Clonal hematopoiesis in children and young adults differs from that occuring in the older adult population. A variety of stressors drive this phenomenon, sometimes independent of age-related processes. For the purposes of this review, we adopt the term clonal hematopoiesis in predisposed individuals (CHIPI) to differentiate it from classical, age-related clonal hematopoiesis of indeterminate potential (CHIP). Stress-induced CHIPI selection can be extrinsic, such as following immunologic, infectious, pharmacologic, or genotoxic exposures, or intrinsic, involving germline predisposition from inherited bone marrow failure syndromes. In these conditions, clonal advantage relates to adaptations allowing improved cell fitness despite intrinsic defects affecting proliferation and differentiation. In certain contexts, CHIPI can improve competitive fitness by compensating for germline defects; however, the downstream effects of clonal expansion are often unpredictable - they may either counteract the underlying pathology or worsen disease outcomes. A more complete understanding of how CHIPI arises in young people can lead to the definition of preleukemic states and strategies to assess risk, surveillance, and prevention to leukemic transformation. Our review summarizes current research on stress-induced clonal dynamics in individuals with germline predisposition syndromes.
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Affiliation(s)
- Enrico Attardi
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN; Department of Biomedicine and Prevention, PhD in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Seth J Corey
- Departments of Pediatrics and Cancer Biology, Cleveland Clinic, Cleveland, OH
| | - Marcin W Wlodarski
- Department of Hematology, St. Jude Children's Research Hospital, Memphis, TN; Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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Seitz L, Gaitan D, Berkemeier CM, Berger CT, Recher M. Cluster analysis of flowcytometric immunophenotyping with extended T cell subsets in suspected immunodeficiency. Immun Inflamm Dis 2023; 11:e1106. [PMID: 38156376 PMCID: PMC10698832 DOI: 10.1002/iid3.1106] [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: 07/07/2023] [Revised: 10/30/2023] [Accepted: 11/18/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Patients with immunodeficiencies commonly experience diagnostic delays resulting in morbidity. There is an unmet need to identify patients earlier, especially those with high risk for complications. Compared to immunoglobulin quantification and flowcytometric B cell subset analysis, expanded T cell subset analysis is rarely performed in the initial evaluation of patients with suspected immunodeficiency. The simultaneous interpretation of multiple immune variables, including lymphocyte subsets, is challenging. OBJECTIVE To evaluate the diagnostic value of cluster analyses of immune variables in patients with suspected immunodeficiency. METHODS Retrospective analysis of 38 immune system variables, including seven B cell and sixteen T cell subpopulations, in 107 adult patients (73 with immunodeficiency, 34 without) evaluated at a tertiary outpatient immunology clinic. Correlation analyses of individual variables, k-means cluster analysis with evaluation of the classification into "no immunodeficiency" versus "immunodeficiency" and visual analyses of hierarchical heatmaps were performed. RESULTS Binary classification of patients into groups with and without immunodeficiency was correct in 54% of cases with the full data set and increased to 69% and 75% of cases, respectively, when only 16 variables with moderate (p < .05) or 7 variables with strong evidence (p < .01) for a difference between groups were included. In a cluster heatmap with all patients but only moderately differing variables and a heatmap with only immunodeficient patients restricted to T cell variables alone, segregation of most patients with common variable immunodeficiency and combined immunodeficiency was observed. CONCLUSION Cluster analyses of immune variables, including detailed lymphocyte flowcytometry with T cell subpopulations, may support clinical decision making for suspected immunodeficiency in daily practice.
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Affiliation(s)
- Luca Seitz
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
- Department of Rheumatology and Immunology, Inselspital, University Hospital BernUniversity of BernBernSwitzerland
| | - Daniel Gaitan
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
| | - Caroline M. Berkemeier
- Division of Medical Immunology, Laboratory MedicineUniversity Hospital BaselBaselSwitzerland
| | - Christoph T. Berger
- University Center for ImmunologyUniversity Hospital BaselBaselSwitzerland
- Translational Immunology, Department of BiomedicineUniversity of BaselBaselSwitzerland
| | - Mike Recher
- Immunodeficiency Laboratory, Department of BiomedicineUniversity Hospital Basel and University of BaselBaselSwitzerland
- University Center for ImmunologyUniversity Hospital BaselBaselSwitzerland
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Calabretto G, Attardi E, Gurnari C, Semenzato G, Voso MT, Zambello R. LGL Clonal Expansion and Unexplained Cytopenia: Two Clues Don't Make an Evidence. Cancers (Basel) 2022; 14:5236. [PMID: 36358655 PMCID: PMC9655579 DOI: 10.3390/cancers14215236] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/17/2022] [Accepted: 10/21/2022] [Indexed: 11/25/2022] Open
Abstract
Clonal expansions of large granular lymphocytes (LGL) have been reported in a wide spectrum of conditions, with LGL leukemia (LGLL) being the most extreme. However, the boundaries between LGLL and LGL clones are often subtle, and both conditions can be detected in several clinical scenarios, particularly in patients with cytopenias. The intricate overlap of LGL clonal expansion with other disease entities characterized by unexplained cytopenias makes their classification challenging. Indeed, precisely assigning whether cytopenias might be related to inadequate hematopoiesis (i.e., LGL as a marginal finding) rather than immune-mediated mechanisms (i.e., LGLL) is far from being an easy task. As LGL clones acquire different pathogenetic roles and relevance according to their diverse clinical settings, their detection in the landscape of bone marrow failures and myeloid neoplasms has recently raised growing clinical interest. In this regard, the current availability of different diagnostic techniques, including next generation sequencing, shed light on the relationship between LGL clones and cytopenias, paving the way towards a better disease classification for precision medicine treatments. Herein, we discuss the clinical relevance of LGL clones in the diagnostic algorithm to be followed in patients presenting with cytopenias, offering a foundation for rational management approaches.
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Affiliation(s)
- Giulia Calabretto
- Department of Medicine, Padua University School of Medicine, Hematology Division, 35129 Padua, Italy
- Veneto Institute of Molecular Medicine (VIMM), 35129 Padua, Italy
| | - Enrico Attardi
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Carmelo Gurnari
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
- Translational Hematology and Oncology Research Department, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH 44106, USA
| | - Gianpietro Semenzato
- Department of Medicine, Padua University School of Medicine, Hematology Division, 35129 Padua, Italy
- Veneto Institute of Molecular Medicine (VIMM), 35129 Padua, Italy
| | - Maria Teresa Voso
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Renato Zambello
- Department of Medicine, Padua University School of Medicine, Hematology Division, 35129 Padua, Italy
- Veneto Institute of Molecular Medicine (VIMM), 35129 Padua, Italy
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Neirinck J, Emmaneel A, Buysse M, Philippé J, Van Gassen S, Saeys Y, Bossuyt X, De Buyser S, van der Burg M, Pérez-Andrés M, Orfao A, van Dongen JJM, Lambrecht BN, Kerre T, Hofmans M, Haerynck F, Bonroy C. The Euroflow PID Orientation Tube in the diagnostic workup of primary immunodeficiency: Daily practice performance in a tertiary university hospital. Front Immunol 2022; 13:937738. [PMID: 36177024 PMCID: PMC9513319 DOI: 10.3389/fimmu.2022.937738] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Multiparameter flow cytometry (FCM) immunophenotyping is an important tool in the diagnostic screening and classification of primary immunodeficiencies (PIDs). The EuroFlow Consortium recently developed the PID Orientation Tube (PIDOT) as a universal screening tool to identify lymphoid-PID in suspicious patients. Although PIDOT can identify different lymphoid-PIDs with high sensitivity, clinical validation in a broad spectrum of patients with suspicion of PID is missing. In this study, we investigated the diagnostic performance of PIDOT, as part of the EuroFlow diagnostic screening algorithm for lymphoid-PID, in a daily practice at a tertiary reference center for PID. Methods PIDOT was tested in 887 consecutive patients suspicious of PID at the Ghent University Hospital, Belgium. Patients were classified into distinct subgroups of lymphoid-PID vs. non-PID disease controls (non-PID DCs), according to the IUIS and ESID criteria. For the clinical validation of PIDOT, comprehensive characterization of the lymphoid defects was performed, together with the identification of the most discriminative cell subsets to distinguish lymphoid-PID from non-PID DCs. Next, a decision-tree algorithm was designed to guide subsequent FCM analyses. Results The mean number of lymphoid defects detected by PIDOT in blood was 2.87 times higher in lymphoid-PID patients vs. non-PID DCs (p < 0.001), resulting in an overall sensitivity and specificity of 87% and 62% to detect severe combined immunodeficiency (SCID), combined immunodeficiency with associated or syndromic features (CID), immune dysregulation disorder (ID), and common variable immunodeficiency (CVID). The most discriminative populations were total memory and switched memory B cells, total T cells, TCD4+cells, and naive TCD4+cells, together with serum immunoglobulin levels. Based on these findings, a decision-tree algorithm was designed to guide further FCM analyses, which resulted in an overall sensitivity and specificity for all lymphoid-PIDs of 86% and 82%, respectively. Conclusion Altogether, our findings confirm that PIDOT is a powerful tool for the diagnostic screening of lymphoid-PID, particularly to discriminate (S)CID, ID, and CVID patients from other patients suspicious of PID. The combination of PIDOT and serum immunoglobulin levels provides an efficient guide for further immunophenotypic FCM analyses, complementary to functional and genetic assays, for accurate PID diagnostics.
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Affiliation(s)
- Jana Neirinck
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Annelies Emmaneel
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Malicorne Buysse
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Jan Philippé
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Sofie Van Gassen
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Yvan Saeys
- Data Mining and Modelling for Biomedicine Group, Vlaams Instituut voor Biotechnologie (VIB) Center for Inflammation Research, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Xavier Bossuyt
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, KU Leuven University Hospitals Leuven, Leuven, Belgium
| | - Stefanie De Buyser
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Mirjam van der Burg
- Laboratory for Pediatric Immunology, Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Martín Pérez-Andrés
- Cancer Research Centre (Instituto de Biología Molecular y Celular del Cáncer (IBMCC), USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)-University of Salamanca (USAL), Department of Medicine, IBSAL and Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), University of Salamanca, Salamanca, Spain
| | - Alberto Orfao
- Cancer Research Centre (Instituto de Biología Molecular y Celular del Cáncer (IBMCC), USAL-CSIC; CIBERONC CB16/12/00400), Institute for Biomedical Research of Salamanca (IBSAL), Department of Medicine and Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
- Translational and Clinical Research Program, Centro de Investigación del Cáncer and Instituto de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas (CSIC)-University of Salamanca (USAL), Department of Medicine, IBSAL and Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), University of Salamanca, Salamanca, Spain
| | | | - Bart N. Lambrecht
- Laboratory of Mucosal Immunology, VIB-UGhent Center for Inflammation Research, Ghent University, Ghent, Belgium
- Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Department of Pulmonary Medicine, University Hospital Ghent, Ghent, Belgium
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, Ghent, Belgium
| | - Mattias Hofmans
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Filomeen Haerynck
- Department of Pediatric Pulmonology and Immunology and Primary Immunodeficiency (PID) Research Lab, Ghent University Hospital, Ghent, Belgium
| | - Carolien Bonroy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
- *Correspondence: Carolien Bonroy,
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Schiavo E, Martini B, Attardi E, Consonni F, Ciullini Mannurita S, Coniglio ML, Tellini M, Chiocca E, Fotzi I, Luti L, D'Alba I, Veltroni M, Favre C, Gambineri E. Autoimmune Cytopenias and Dysregulated Immunophenotype Act as Warning Signs of Inborn Errors of Immunity: Results From a Prospective Study. Front Immunol 2022; 12:790455. [PMID: 35058929 PMCID: PMC8765341 DOI: 10.3389/fimmu.2021.790455] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/22/2021] [Indexed: 12/19/2022] Open
Abstract
Inborn errors of immunity (IEI) are genetic disorders characterized by a wide spectrum of clinical manifestations, ranging from increased susceptibility to infections to significant immune dysregulation. Among these, primary immune regulatory disorders (PIRDs) are mainly presenting with autoimmune manifestations, and autoimmune cytopenias (AICs) can be the first clinical sign. Significantly, AICs in patients with IEI often fail to respond to first-line therapy. In pediatric patients, autoimmune cytopenias can be red flags for IEI. However, for these cases precise indicators or parameters useful to suspect and screen for a hidden congenital immune defect are lacking. Therefore, we focused on chronic/refractory AIC patients to perform an extensive clinical evaluation and multiparametric flow cytometry analysis to select patients in whom PIRD was strongly suspected as candidates for genetic analysis. Key IEI-associated alterations causative of STAT3 GOF disease, IKAROS haploinsufficiency, activated PI3Kδ syndrome (APDS), Kabuki syndrome and autoimmune lymphoproliferative syndrome (ALPS) were identified. In this scenario, a dysregulated immunophenotype acted as a potential screening tool for an early IEI diagnosis, pivotal for appropriate clinical management and for the identification of new therapeutic targets.
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Affiliation(s)
- Ebe Schiavo
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Beatrice Martini
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
| | - Enrico Attardi
- Division of Hematology, Careggi University Hospital, Florence, Italy
| | - Filippo Consonni
- Meyer University Children's Hospital, University of Florence, Florence, Italy
| | - Sara Ciullini Mannurita
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Maria Luisa Coniglio
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Marco Tellini
- Meyer University Children's Hospital, University of Florence, Florence, Italy
| | - Elena Chiocca
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Ilaria Fotzi
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Laura Luti
- Division of Pediatric Oncology/Hematology, University Hospital of Pisa, Pisa, Italy
| | - Irene D'Alba
- Division of Pediatric Oncology/Hematology, University Hospital of Ospedali Riuniti, Ancona, Italy
| | - Marinella Veltroni
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Claudio Favre
- Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
| | - Eleonora Gambineri
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.,Centre of Excellence, Division of Pediatric Oncology/Hematology, Meyer University Children's Hospital, Florence, Italy
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Yang R, Zhou S, Zhou Q. In vitro naphthylquinoxaline thymidine conjugate and UVA treated cancer cells are effective therapeutic vaccines for tumors in vivo with CpG as the adjuvant. J Adv Res 2022; 35:259-266. [PMID: 35003803 PMCID: PMC8721236 DOI: 10.1016/j.jare.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 11/23/2022] Open
Abstract
Effective tumor immunotherapy with in vitro NAP-UVA treated cancer cells per se Marked survival improvement with CpG as the specific adjuvant Enhanced tumor specific and infiltrating active T cells by treatment vaccine Validated efficacy on established tumors with increased dosages Potential personalized immunotherapy applications
Introduction Cancer cells induced into immunogenic cell death (ICD) in vitro can be directly used as a whole cell vaccine for tumor immunotherapy with many advantages, especially enacting immediate and intense ‘eat me’ signals to engage immune system. Unfortunately, there have been few successes with in vitro ICD cancer cells as a treatment vaccine. Objective To demonstrate that cancer cells treated in vitro with a new class of potent ICD inducer, naphthylquinoxaline thymidine conjugate (NAP) followed by UVA irradiation would be able to act as an effective tumor immunotherapy directly. Methods The therapeutic potentials of treated cancer cell plus different vaccine adjuvants were assessed by in vivo liver tumor model and in vitro mixed lymphocyte reaction studies. The elicited activated T cells were determined with immunohistochemistry and T cell induced cytotoxicity studies. Results Treatment of established H22 tumor with in vitro NAP and UVA treated cancer cell vaccine led to significantly improved survival. Further mixed lymphocyte reaction study implied that adjuvants alum and CpG would improve the therapeutic potential whereas poly IC would not be as effective. Subsequent in vivo validation of alum and CpG adjuvants indicated that only CpG in NAP and UVA treated cell vaccine resulted in markedly enhanced survival (median at 71 days and 50% tumor-free) as compared with PBS group (14.5 days, 0%) and CpG alone (36 days, 0%). It was revealed that the enhanced efficacy by CpG was specific to NAP and UVA treated cells. Moreover, the effective tumor immunotherapy was achieved through the infiltration of active CD4 and CD8 T cells in tumors and acquisition of cancer cell-specific cytotoxic CD8 T cells. Conclusion In vitro NAP and UVA treated cancer cells plus CpG adjuvant are effective tumor therapeutic vaccines per se.
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Affiliation(s)
- Rong Yang
- Department of Nanomedicine and Biopharmaceuticals, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei 430074, China
| | - Shanshan Zhou
- Department of Nanomedicine and Biopharmaceuticals, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei 430074, China
| | - Qibing Zhou
- Department of Nanomedicine and Biopharmaceuticals, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei 430074, China
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8
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Zhang LX, Song JW, Zhang C, Fan X, Huang HH, Xu RN, Liu JY, Zhang JY, Wang LF, Zhou CB, Jin L, Shi M, Wang FS, Jiao YM. Dynamics of HIV reservoir decay and naïve CD4 T-cell recovery between immune non-responders and complete responders on long-term antiretroviral treatment. Clin Immunol 2021; 229:108773. [PMID: 34102315 DOI: 10.1016/j.clim.2021.108773] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 02/12/2021] [Accepted: 06/03/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The dynamics of viral reservoir decay and naïve CD4 T-cell recovery between immunological non-responders (INR) and complete responders (CR) during long-term antiretroviral treatment (ART) are not fully known. METHODS Twenty-eight chronic HIV-infected individuals on 5-year ART were divided into two groups: INR (CD4 counts ≤350 cells/μL, n = 13) and CR (CD4 counts ≥500 cells/μL, n = 15). The levels of HIV DNA and cell-associated HIV RNA (CA-RNA), CD4 counts, naïve CD4 counts and their correlations were analyzed at baseline, years 1, 3 and 5 of ART between the two groups. Expression of PD-1 on CD4 T-cells was quantified by flow cytometry. Linear mixed effect models were used to estimate the change procession in repeated measurements over 5 years. Slopes of the above-mentioned indicators were estimated using participant-specific linear regressions, respectively. RESULTS INR maintained higher levels of HIV DNA and CA-RNA with higher percentages of PD-1+CD4 T-cells compared with CR during 5-year ART, concurrent with lower naïve CD4 T-cells. However, the rates of HIV DNA and CA-RNA decay in INR were not different from that in CR over time, and INR had higher rates of naïve CD4 T-cell percentage recovery. The baseline levels of HIV DNA were positively associated with the 5-year levels of HIV DNA, but negatively associated with the 5-year naïve CD4 counts. CONCLUSIONS INR maintained significantly higher viral reservoir and lower naïve CD4 T-cells compared with CR during 5-year ART, however, the rates of reservoir decay and naïve CD4 T-cell percentage growth within INR were not lower than that in CR over time.
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Affiliation(s)
- Lu-Xue Zhang
- Infectious Disease Department, Xuanwu Hospital, Capital Medical University, Beijing, China; Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jin-Wen Song
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chao Zhang
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xing Fan
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Hui-Huang Huang
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ruo-Nan Xu
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jia-Ye Liu
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ji-Yuan Zhang
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Li-Feng Wang
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chun-Bao Zhou
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lei Jin
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Ming Shi
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Fu-Sheng Wang
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
| | - Yan-Mei Jiao
- Treatment and Research Center for Infectious Diseases, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
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