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van der Pan K, Khatri I, de Jager AL, Louis A, Kassem S, Naber BA, de Laat IF, Hameetman M, Comans SE, Orfao A, van Dongen JJ, Díez P, Teodosio C. Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations. Front Immunol 2023; 14:1191992. [PMID: 37275858 PMCID: PMC10235610 DOI: 10.3389/fimmu.2023.1191992] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/05/2023] [Indexed: 06/07/2023] Open
Abstract
Introduction Monitoring of innate myeloid cells (IMC) is broadly applied in basic and translational research, as well as in diagnostic patient care. Due to their immunophenotypic heterogeneity and biological plasticity, analysis of IMC populations typically requires large panels of markers. Currently, two cytometry-based techniques allow for the simultaneous detection of ≥40 markers: spectral flow cytometry (SFC) and mass cytometry (MC). However, little is known about the comparability of SFC and MC in studying IMC populations. Methods We evaluated the performance of two SFC and MC panels, which contained 21 common markers, for the identification and subsetting of blood IMC populations. Based on unsupervised clustering analysis, we systematically identified 24 leukocyte populations, including 21 IMC subsets, regardless of the cytometry technique. Results Overall, comparable results were observed between the two technologies regarding the relative distribution of these cell populations and the staining resolution of individual markers (Pearson's ρ=0.99 and 0.55, respectively). However, minor differences were observed between the two techniques regarding intra-measurement variability (median coefficient of variation of 42.5% vs. 68.0% in SFC and MC, respectively; p<0.0001) and reproducibility, which were most likely due to the significantly longer acquisition times (median 16 min vs. 159 min) and lower recovery rates (median 53.1% vs. 26.8%) associated with SFC vs. MC. Discussion Altogether, our results show a good correlation between SFC and MC for the identification, enumeration and characterization of IMC in blood, based on large panels (>20) of antibody reagents.
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Affiliation(s)
- Kyra van der Pan
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Anniek L. de Jager
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Alesha Louis
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Sara Kassem
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Brigitta A.E. Naber
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Inge F. de Laat
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Marjolijn Hameetman
- Flow Cytometry Core Facility, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Suzanne E.T. Comans
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Jacques J.M. van Dongen
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Paula Díez
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Sarcomas and Experimental Therapeutics Laboratory, Health Research Institute of Asturias (ISPA) and Asturias Central University Hospital (HUCA), Department of Physical and Analytical Chemistry, Faculty of Chemistry, University of Oviedo, Oviedo, Asturias, Spain
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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van der Pan K, de Bruin-Versteeg S, Damasceno D, Hernández-Delgado A, van der Sluijs-Gelling AJ, van den Bossche WBL, de Laat IF, Díez P, Naber BAE, Diks AM, Berkowska MA, de Mooij B, Groenland RJ, de Bie FJ, Khatri I, Kassem S, de Jager AL, Louis A, Almeida J, van Gaans-van den Brink JAM, Barkoff AM, He Q, Ferwerda G, Versteegen P, Berbers GAM, Orfao A, van Dongen JJM, Teodosio C. Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood. Front Immunol 2022; 13:935879. [PMID: 36189252 PMCID: PMC9519388 DOI: 10.3389/fimmu.2022.935879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
Innate myeloid cell (IMC) populations form an essential part of innate immunity. Flow cytometric (FCM) monitoring of IMCs in peripheral blood (PB) has great clinical potential for disease monitoring due to their role in maintenance of tissue homeostasis and ability to sense micro-environmental changes, such as inflammatory processes and tissue damage. However, the lack of standardized and validated approaches has hampered broad clinical implementation. For accurate identification and separation of IMC populations, 62 antibodies against 44 different proteins were evaluated. In multiple rounds of EuroFlow-based design-testing-evaluation-redesign, finally 16 antibodies were selected for their non-redundancy and separation power. Accordingly, two antibody combinations were designed for fast, sensitive, and reproducible FCM monitoring of IMC populations in PB in clinical settings (11-color; 13 antibodies) and translational research (14-color; 16 antibodies). Performance of pre-analytical and analytical variables among different instruments, together with optimized post-analytical data analysis and reference values were assessed. Overall, 265 blood samples were used for design and validation of the antibody combinations and in vitro functional assays, as well as for assessing the impact of sample preparation procedures and conditions. The two (11- and 14-color) antibody combinations allowed for robust and sensitive detection of 19 and 23 IMC populations, respectively. Highly reproducible identification and enumeration of IMC populations was achieved, independently of anticoagulant, type of FCM instrument and center, particularly when database/software-guided automated (vs. manual “expert-based”) gating was used. Whereas no significant changes were observed in identification of IMC populations for up to 24h delayed sample processing, a significant impact was observed in their absolute counts after >12h delay. Therefore, accurate identification and quantitation of IMC populations requires sample processing on the same day. Significantly different counts were observed in PB for multiple IMC populations according to age and sex. Consequently, PB samples from 116 healthy donors (8-69 years) were used for collecting age and sex related reference values for all IMC populations. In summary, the two antibody combinations and FCM approach allow for rapid, standardized, automated and reproducible identification of 19 and 23 IMC populations in PB, suited for monitoring of innate immune responses in clinical and translational research settings.
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Affiliation(s)
- Kyra van der Pan
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Daniela Damasceno
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Alejandro Hernández-Delgado
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - Wouter B. L. van den Bossche
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Department of Immunology, Department of Neurosurgery, Brain Tumor Center, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Inge F. de Laat
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Paula Díez
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Annieck M. Diks
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Bas de Mooij
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Rick J. Groenland
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Fenna J. de Bie
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Indu Khatri
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Sara Kassem
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Anniek L. de Jager
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Alesha Louis
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Julia Almeida
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | | | - Alex-Mikael Barkoff
- Institute of Biomedicine, Research Center for Infections and Immunity, University of Turku (UTU), Turku, Finland
| | - Qiushui He
- Institute of Biomedicine, Research Center for Infections and Immunity, University of Turku (UTU), Turku, Finland
| | - Gerben Ferwerda
- Section of Paediatric Infectious Diseases, Laboratory of Medical Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, Netherlands
| | - Pauline Versteegen
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Guy A. M. Berbers
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Jacques J. M. van Dongen
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
- *Correspondence: Jacques J. M. van Dongen,
| | - Cristina Teodosio
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
- Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca, and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
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Reduced Percentage of CD14 dimCD16 +SLAN + Monocytes Producing TNF and IL-12 as an Immunological Sign of CLL Progression. Int J Mol Sci 2022; 23:ijms23063029. [PMID: 35328450 PMCID: PMC8951649 DOI: 10.3390/ijms23063029] [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: 02/19/2022] [Revised: 03/05/2022] [Accepted: 03/09/2022] [Indexed: 12/07/2022] Open
Abstract
Monocytes are one of the least studied immune cells with a potentially important role in the pathogenesis of chronic lymphocytic leukemia (CLL). Nevertheless, data regarding the role of subpopulations of monocytes in the CLL microenvironment are still limited. For the very first time, this study presents an assessment of monocyte subsets divided according to SLAN and CD16 expression in CLL patients. The study involved 70 freshly diagnosed CLL patients and 35 healthy donors. Using flow cytometry, monocyte subpopulations were assessed among PBMCs. CD14+ monocytes can be divided into: “classical” (CD14+CD16−SLAN−), “intermediate” (CD14+CD16+SLAN−) and “non-classical” (CD14dimCD16+SLAN+). In our study, we noted an increased percentage of non-classical monocytes with intracellular expression of TNF and IL-12. On the other hand, among the intermediate monocytes, a significantly higher percentage of cells synthesizing anti-inflammatory IL-10 was detected. The percentage of CD14dimCD16+SLAN+ monocytes producing TNF and IL-12 decreased with the stage of CLL and inversely correlated with the expression of the prognostic factors ZAP-70 and CD38. Moreover, the percentage of CD14dimCD16+SLAN+ monocytes producing TNF and IL-12 was lower in CLL patients requiring treatment. This may indicate the beneficial effect of non-classical monocytes on the anti-tumor response.
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Damasceno D, Almeida J, Teodosio C, Sanoja-Flores L, Mayado A, Pérez-Pons A, Puig N, Arana P, Paiva B, Solano F, Romero A, Matarraz S, van den Bossche WBL, Flores-Montero J, Durie B, van Dongen JJM, Orfao A. Monocyte Subsets and Serum Inflammatory and Bone-Associated Markers in Monoclonal Gammopathy of Undetermined Significance and Multiple Myeloma. Cancers (Basel) 2021; 13:cancers13061454. [PMID: 33810169 PMCID: PMC8004952 DOI: 10.3390/cancers13061454] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Monocyte/macrophages have been shown to be altered in monoclonal gammopathy of undetermined significance (MGUS), smoldering (SMM) and active multiple myeloma (MM), with an impact on the disruption of the homeostasis of the normal bone marrow (BM) microenvironment. METHODS We investigated the distribution of different subsets of monocytes (Mo) in blood and BM of newly-diagnosed untreated MGUS (n = 23), SMM (n = 14) and MM (n = 99) patients vs. healthy donors (HD; n = 107), in parallel to a large panel of cytokines and bone-associated serum biomarkers. RESULTS Our results showed normal production of monocyte precursors and classical Mo (cMo) in MGUS, while decreased in SMM and MM (p ≤ 0.02), in association with lower blood counts of recently-produced CD62L+ cMo in SMM (p = 0.004) and of all subsets of (CD62L+, CD62L- and FcεRI+) cMo in MM (p ≤ 0.02). In contrast, intermediate and end-stage non-classical Mo were increased in BM of MGUS (p ≤ 0.03), SMM (p ≤ 0.03) and MM (p ≤ 0.002), while normal (MGUS and SMM) or decreased (MM; p = 0.01) in blood. In parallel, increased serum levels of interleukin (IL)1β were observed in MGUS (p = 0.007) and SMM (p = 0.01), higher concentrations of serum IL8 were found in SMM (p = 0.01) and MM (p = 0.002), and higher serum IL6 (p = 0.002), RANKL (p = 0.01) and bone alkaline phosphatase (BALP) levels (p = 0.01) with decreased counts of FcεRI+ cMo, were restricted to MM presenting with osteolytic lesions. This translated into three distinct immune/bone profiles: (1) normal (typical of HD and most MGUS cases); (2) senescent-like (increased IL1β and/or IL8, found in a minority of MGUS, most SMM and few MM cases with no bone lesions); and (3) pro-inflammatory-high serum IL6, RANKL and BALP with significantly (p = 0.01) decreased blood counts of immunomodulatory FcεRI+ cMo-, typical of MM presenting with bone lesions. CONCLUSIONS These results provide new insight into the pathogenesis of plasma cell neoplasms and the potential role of FcεRI+ cMo in normal bone homeostasis.
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Affiliation(s)
- Daniela Damasceno
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Julia Almeida
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Cristina Teodosio
- Leiden University Medical Center, Department of Immunology, 2333 ZA Leiden, The Netherlands; (C.T.); (W.B.L.v.d.B.); (J.J.M.v.D.)
| | - Luzalba Sanoja-Flores
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
- Institute of Biomedicine of Seville, Department of Hematology, University Hospital Virgen del Rocío of the Consejo Superior de Investigaciones Científicas (CSIC), University of Seville, 41013 Seville, Spain
| | - Andrea Mayado
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Alba Pérez-Pons
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Noemi Puig
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
- Service of Hematology, University Hospital of Salamanca (CAUSA) and IBSAL, 37007 Salamanca, Spain
| | - Paula Arana
- Regulation of the Immune System Group, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, Plaza de Cruces 12, 48903 Barakaldo, Spain;
| | - Bruno Paiva
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
- Centro de Investigación Médica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Clinica Universidad de Navarra, 31008 Pamplona, Spain
| | - Fernando Solano
- Hematology Service, Hospital Nuestra Señora del Prado, Talavera de la Reina, 45600 Toledo, Spain;
| | - Alfonso Romero
- Primary Health Care Center “Miguel Armijo”, Primary Health Care of Salamanca, Conserjería de Sanidad de Castilla y León (SACYL), 37007 Salamanca, Spain;
| | - Sergio Matarraz
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Wouter B. L. van den Bossche
- Leiden University Medical Center, Department of Immunology, 2333 ZA Leiden, The Netherlands; (C.T.); (W.B.L.v.d.B.); (J.J.M.v.D.)
- Department of Immunology, Erasmus University Medical Center, 3015 GA Rotterdam, The Netherlands
| | - Juan Flores-Montero
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
| | - Brian Durie
- Centro del Cáncer Cedars-Sinai Samuel Oschin, Los Angeles, CA 90048, USA;
| | - Jacques J. M. van Dongen
- Leiden University Medical Center, Department of Immunology, 2333 ZA Leiden, The Netherlands; (C.T.); (W.B.L.v.d.B.); (J.J.M.v.D.)
| | - Alberto Orfao
- Translational and Clinical Research Program, Cancer Research Center (IBMCC, USAL-CSIC), Cytometry Service (NUCLEUS) and Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain; (D.D.); (J.A.); (A.M.); (A.P.-P.); (S.M.); (J.F.-M.)
- Biomedical Research Networking Centre Consortium of Oncology (CIBERONC) (CB16/12/00400), Instituto Carlos III, 28029 Madrid, Spain; (L.S.-F.); (N.P.); (B.P.)
- Correspondence:
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Immunogenomic identification and characterization of granulocytic myeloid-derived suppressor cells in multiple myeloma. Blood 2021; 136:199-209. [PMID: 32325491 DOI: 10.1182/blood.2019004537] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/03/2020] [Indexed: 12/17/2022] Open
Abstract
Granulocytic myeloid-derived suppressor cells (G-MDSCs) promote tumor growth and immunosuppression in multiple myeloma (MM). However, their phenotype is not well established for accurate monitoring or clinical translation. We aimed to provide the phenotypic profile of G-MDSCs based on their prognostic significance in MM, immunosuppressive potential, and molecular program. The preestablished phenotype of G-MDSCs was evaluated in bone marrow samples from controls and MM patients using multidimensional flow cytometry; surprisingly, we found that CD11b+CD14-CD15+CD33+HLADR- cells overlapped with common eosinophils and neutrophils, which were not expanded in MM patients. Therefore, we relied on automated clustering to unbiasedly identify all granulocytic subsets in the tumor microenvironment: basophils, eosinophils, and immature, intermediate, and mature neutrophils. In a series of 267 newly diagnosed MM patients (GEM2012MENOS65 trial), only the frequency of mature neutrophils at diagnosis was significantly associated with patient outcome, and a high mature neutrophil/T-cell ratio resulted in inferior progression-free survival (P < .001). Upon fluorescence-activated cell sorting of each neutrophil subset, T-cell proliferation decreased in the presence of mature neutrophils (0.5-fold; P = .016), and the cytotoxic potential of T cells engaged by a BCMA×CD3-bispecific antibody increased notably with the depletion of mature neutrophils (fourfold; P = .0007). Most interestingly, RNA sequencing of the 3 subsets revealed that G-MDSC-related genes were specifically upregulated in mature neutrophils from MM patients vs controls because of differential chromatin accessibility. Taken together, our results establish a correlation between the clinical significance, immunosuppressive potential, and transcriptional network of well-defined neutrophil subsets, providing for the first time a set of optimal markers (CD11b/CD13/CD16) for accurate monitoring of G-MDSCs in MM.
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Álvarez B, Revilla C, Domínguez J, Ezquerra A. Expression of CLEC4A in porcine tissues and leukocyte populations and characterization of mRNA splice variants. Mol Immunol 2021; 132:157-164. [PMID: 33592571 DOI: 10.1016/j.molimm.2021.01.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/18/2021] [Accepted: 01/23/2021] [Indexed: 10/22/2022]
Abstract
CLECs are a group of molecules of the superfamily of C-type lectin domain containing receptors. Several receptors of this group have been described in humans and mice, as well as in other species. Many of them are expressed in immune cells, and have been shown to be involved in immune response modulation. Several molecules of this family have been proposed as targets for antigen delivery, which is what drew our interest in studying them in the pig. In this species only CLEC7A (also named Dectin-1) had been studied in some detail, and we have characterized two other members, CLEC12A and CLEC12B. Another molecule of interest was CLEC4A, for which we could not find any expression studies in pigs, although up to 5 different mRNA variants had been predicted by bioinformatics analysis of the genomic sequence in databases. Here we present an analysis of the expression of CLEC4A mRNA isoforms in tissues and blood cell subsets by PCR. Cloning and sequencing of cDNA of the different isoforms allowed us to identify all 5 predicted isoforms, in addition to characterizing 5 additional isoforms expressed in alveolar macrophages, of which the form coding for a canonical CLEC4A molecule was apparently the most abundant isoform. Analysis of the sequences of the 10 cDNA cloned allowed us to determine their exon usage and to identify their potential for protein coding. Only 8 of the characterized variants contain a recognizable coding sequence. The sequences of the coded proteins show both proteins with a putative transmembrane segment, and others without this feature, as well as proteins with the complete CLEC domain or with diverse truncated forms. We also prove that most of the cDNA can drive protein expression upon transfection in the CHO cell line. We discuss the relevance that the diversity of products of the porcine CLEC4A gene may have in the regulation of the expression and function of these molecules.
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Affiliation(s)
- Belén Álvarez
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Dpto. Biotecnología, Madrid, Spain
| | - Concepción Revilla
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Dpto. Biotecnología, Madrid, Spain
| | - Javier Domínguez
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Dpto. Biotecnología, Madrid, Spain
| | - Angel Ezquerra
- Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Dpto. Biotecnología, Madrid, Spain.
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Macrophage Tropism in Pathogenic HIV-1 and SIV Infections. Viruses 2020; 12:v12101077. [PMID: 32992787 PMCID: PMC7601331 DOI: 10.3390/v12101077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 09/18/2020] [Accepted: 09/23/2020] [Indexed: 01/06/2023] Open
Abstract
Most myeloid lineage cells express the receptor and coreceptors that make them susceptible to infection by primate lentiviruses (SIVs and HIVs). However, macrophages are the only myeloid lineage cell commonly infected by SIVs and/or HIVs. The frequency of infected macrophages varies greatly across specific host and virus combinations as well as disease states, with infection rates being greatest in pathogenic SIV infections of non-natural hosts (i.e., Asian nonhuman primates (Asian NHPs)) and late in untreated HIV-1 infection. In contrast, macrophages from natural SIV hosts (i.e., African NHPs) are largely resistant to infection due to entry and/or post-entry restriction mechanisms. These highly variable rates of macrophage infection may stem from differences in the host immune environment, entry and post-entry restriction mechanisms, the ability of a virus to adapt to efficiently infect macrophages, and the pleiotropic effects of macrophage-tropism including the ability to infect cells lacking CD4 and increased neutralization sensitivity. Questions remain about the relationship between rates of macrophage infection and viral pathogenesis, with some evidence suggesting that elevated levels of macrophage infection may contribute to greater pathogenesis in non-natural SIV hosts. Alternatively, extensive infection of macrophages may only emerge in the context of high viral loads and immunodeficiency, making it a symptom of highly pathogenic infections, not a primary driver of pathogenesis.
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Churchill HRO, Fuda FS, Xu J, Deng M, Zhang CC, An Z, Zhang N, Chen P, Bergstrom C, Kansagra A, Collins R, John S, Koduru P, Chen W. Leukocyte immunoglobulin-like receptor B1 and B4 (LILRB1 and LILRB4): Highly sensitive and specific markers of acute myeloid leukemia with monocytic differentiation. CYTOMETRY PART B-CLINICAL CYTOMETRY 2020; 100:476-487. [PMID: 32918786 DOI: 10.1002/cyto.b.21952] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 07/13/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Acute myeloid leukemia (AML) with monocytic differentiation (M-AML) remains a diagnostic challenge largely due to lack of sensitive and specific markers for immature monocytes. The immunoglobulin-like inhibitory receptors, LILRB1 and LILRB4, are expressed on monocytes but have not yet been systematically evaluated in the clinical setting. METHODS We evaluated the diagnostic performance of LILRB1 and LILRB4 as monocytic markers for both immature and mature monocytes in comparison to other myelomonocytic markers including CD14, CD15, CD33, CD36, and CD64 in eight cases of control bone marrow (BM, 5) and peripheral blood (PB, 3), 64 cases of (M-AML), and 57 cases of AML without monocytic differentiation (NM-AML) by flow cytometric immunophenotyping. RESULTS In control BM, LILRB1 and LILRB4 were consistently expressed on monocytes at all stages of maturation, from CD34+ /CD14- monocytic precursors to CD14-/dim+ maturing and CD14+ mature monocytes. In M-AML, LILRB1 and LILRB4 were consistently expressed on monocytes, regardless of the degree of maturity, from CD14-/dim+ monoblasts/promonocytes to CD14+ mature monocytes but were not expressed on myeloblasts. The diagnostic performances as a monocytic marker assessed by sensitivity/specificity were 100%/100% for LILRB1/LILRB4, 100%/82% for CD11b, 80%/100% for CD14, 100%/81% for CD64, 100%/58% for CD15/CD33, and 89%/97% for CD36/CD64. CONCLUSION The co-expression of LILRB1/LILRB4 outperformed other myelomonocytic markers as a highly sensitive and specific marker for monocytes at all stages of maturation and could reliably distinguish M-AML from NM-AML. LILRB4 additionally represents a novel therapeutic target for treating M-AML.
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Affiliation(s)
- Hywyn R O Churchill
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Franklin S Fuda
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jing Xu
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Mi Deng
- Department of Physiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Cheng Cheng Zhang
- Department of Physiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Ningyan Zhang
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Pu Chen
- Department of Laboratory Medicine, Zhongshan Hospital Fudan University, Shanghai, China
| | - Colin Bergstrom
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ankit Kansagra
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Robert Collins
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Samuel John
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Prasad Koduru
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Weina Chen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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9
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Enumeration of lymphocyte subsets during follow-up in the pulmonary tuberculosis patients with co morbid diabetes mellitus. Clin Chim Acta 2020; 510:566-572. [PMID: 32818492 DOI: 10.1016/j.cca.2020.08.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 07/11/2020] [Accepted: 08/12/2020] [Indexed: 12/15/2022]
Abstract
The present study was designed to evaluate percentage of lymphocyte subsets in peripheral blood mononuclear cells of pulmonary tuberculosis patients with diabetes mellitus (TBDM) and household contacts (HHC) at the time of diagnosis and at different intervals of follow-up. T-lymphocyte subsets, monocytes and natural killer cells were evaluated using fluorescence associated cell sorting (FACS) in a total of 125 subjects including TBDM, pulmonary tuberculosis (PTB) patients, HHC, diabetes mellitus (DM) patients and healthy controls (HC), 25 in each category. CD4 proportion was significantly low in TBDM (p = 0.003), PTB (p = 0.0008) and HHC (p = 0.005) when compared to HCs and increased with treatment in PTB at 6 M and 12 M (p = 0.008). CD8 percentage was significantly low in DM (p = 0.01); Significantly high mean percentage was observed with respect to CD14 in TBDM (p = 0.008), PTB (p = 0.018), HHC (p = 0.008) and DM (p = 0.014); with CD16 in TBDM (p = 0.0001), PTB (p = 0.0001), HHC (p = 0.045); with CD56 in TBDM (p = 0.0003), PTB (p = 0.002) and HHC (p = 0.015) respectively when compared to HCs. These results indicate that TBDM patients have altered lymphocyte homeostasis and FACS analysis might have the potential of a non-invasive clinical indicator for the early detection and monitoring of TB in HHC.
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10
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Álvarez B, Nieto-Pelegrín E, Martínez de la Riva P, Toki D, Poderoso T, Revilla C, Uenishi H, Ezquerra A, Domínguez J. Characterization of the Porcine CLEC12A and Analysis of Its Expression on Blood Dendritic Cell Subsets. Front Immunol 2020; 11:863. [PMID: 32477350 PMCID: PMC7237735 DOI: 10.3389/fimmu.2020.00863] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/15/2020] [Indexed: 12/28/2022] Open
Abstract
CLEC12A has been proposed as a suitable target for delivering antigen to dendritic cells (DCs) to enhance vaccine efficacy both in human and mouse. In this study, we have characterized the porcine homolog of CLEC12A (poCLEC12A). Using new monoclonal antibodies (mAb), raised against its ectodomain, poCLEC12A was found to be expressed on alveolar macrophages, blood conventional type 1 and type 2 DCs and plasmacytoid DCs, but not on monocytes, T cells, B cells or NK cells, in contrast to its human and murine homologs. Western blot analysis showed that in alveolar macrophages this receptor is expressed both as a monomer and a dimer. After binding to DCs, anti- poCLEC12A mAb was efficiently internalized. No significant changes were observed in TNFα or IFNα secretion by plasmacytoid DCs stimulated with either CpGs (ODN2216) or polyinosinic-polycytidylic acid (poly I:C), upon incubation with mAb. These results provide the basis for future investigations aimed to assess the ability of anti-poCLEC12A mAbs to improve vaccine efficacy by targeting antigen to DCs.
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Affiliation(s)
- Belén Álvarez
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Elvira Nieto-Pelegrín
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Paloma Martínez de la Riva
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Daisuke Toki
- Animal Research Division, Institute of Japan Association for Techno-Innovation in Agriculture, Forestry and Fisheries, Tsukuba, Japan
| | - Teresa Poderoso
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Concepción Revilla
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Hirohide Uenishi
- Animal Bioregulation Unit, Division of Animal Sciences, Institute of Agrobiological Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan
| | - Angel Ezquerra
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Javier Domínguez
- Departamento de Biotecnología, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
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11
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Orfao A, Matarraz S, Pérez-Andrés M, Almeida J, Teodosio C, Berkowska MA, van Dongen JJ. Immunophenotypic dissection of normal hematopoiesis. J Immunol Methods 2019; 475:112684. [DOI: 10.1016/j.jim.2019.112684] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 10/09/2019] [Accepted: 10/10/2019] [Indexed: 10/25/2022]
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12
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Hofer TP, van de Loosdrecht AA, Stahl-Hennig C, Cassatella MA, Ziegler-Heitbrock L. 6-Sulfo LacNAc (Slan) as a Marker for Non-classical Monocytes. Front Immunol 2019; 10:2052. [PMID: 31572354 PMCID: PMC6753898 DOI: 10.3389/fimmu.2019.02052] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/14/2019] [Indexed: 12/20/2022] Open
Abstract
Monocytes are subdivided into three subsets, which have different phenotypic and functional characteristics and different roles in inflammation and malignancy. When in man CD14 and CD16 monoclonal antibodies are used to define these subsets, then the distinction of non-classical CD14low and intermediate CD14high monocytes requires setting a gate in what is a gradually changing level of CD14 expression. In the search for an additional marker to better dissect the two subsets we have explored the marker 6-sulfo LacNAc (slan). Slan is a carbohydrate residue originally described to be expressed on the cell surface of a type of dendritic cell in human blood. We elaborate herein that the features of slan+ cells are congruent with the features of CD16+ non-classical monocytes and that slan is a candidate marker for definition of non-classical monocytes. The use of this marker may help in studying the role of non-classical monocytes in health and in diagnosis and monitoring of disease.
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Affiliation(s)
- Thomas P Hofer
- Immunoanalytics Core Facility and RG Tissue Control of Immunocytes, Helmholtz Centre Munich, Munich, Germany
| | | | | | - Marco A Cassatella
- Section of General Pathology, Department of Medicine, University of Verona, Verona, Italy
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13
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Mitchell D, Chintala S, Fetcko K, Henriquez M, Tewari BN, Ahmed A, Bentley RT, Dey M. Common Molecular Alterations in Canine Oligodendroglioma and Human Malignant Gliomas and Potential Novel Therapeutic Targets. Front Oncol 2019; 9:780. [PMID: 31475119 PMCID: PMC6702544 DOI: 10.3389/fonc.2019.00780] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/31/2019] [Indexed: 01/05/2023] Open
Abstract
Spontaneous canine (Canis lupus) oligodendroglioma (ODG) holds tremendous potential as an immunocompetent large animal model of human malignant gliomas (MG). However, the feasibility of utilizing this model in pre-clinical studies depends on a thorough understanding of the similarities and differences of the molecular pathways associated with gliomas between the two species. We have previously shown that canine ODG has an immune landscape and expression pattern of commonly described oncogenes similar to that of human MG. In the current study, we performed a comprehensive analysis of canine ODG RNAseq data from 4 dogs with ODG and 2 normal controls to identify highly dysregulated genes in canine tumors. We then evaluated the expression of these genes in human MG using Xena Browser, a publicly available database. STRING-database inquiry was used in order to determine the suggested protein associations of these differentially expressed genes as well as the dysregulated pathways commonly enriched by the protein products of these genes in both canine ODG and human MG. Our results revealed that 3,712 (23%) of the 15,895 differentially expressed genes demonstrated significant up- or downregulation (log2-fold change > 2.0). Of the 3,712 altered genes, ~50% were upregulated (n = 1858) and ~50% were downregulated (n = 1854). Most of these genes were also found to have altered expression in human MG. Protein association and pathway analysis revealed common pathways enriched by members of the up- and downregulated gene categories in both species. In summary, we demonstrate that a similar pattern of gene dysregulation characterizes both human MG and canine ODG and provide additional support for the use of the canine model in order to therapeutically target these common genes. The results of such therapeutic targeting in the canine model can serve to more accurately predict the efficacy of anti-glioma therapies in human patients.
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Affiliation(s)
- Dana Mitchell
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Sreenivasulu Chintala
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Kaleigh Fetcko
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Mario Henriquez
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Brij N Tewari
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Atique Ahmed
- Department of Neurological Surgery, Northwestern University, Chicago, IL, United States
| | - R Timothy Bentley
- Department of Veterinary Clinical Sciences, Purdue University Center for Cancer Research, Purdue University, West Lafayette, IN, United States
| | - Mahua Dey
- Department of Neurosurgery, Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, United States
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Clark GJ, Silveira PA, Hogarth PM, Hart DNJ. The cell surface phenotype of human dendritic cells. Semin Cell Dev Biol 2018; 86:3-14. [PMID: 29499385 DOI: 10.1016/j.semcdb.2018.02.013] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 12/14/2017] [Accepted: 02/10/2018] [Indexed: 12/24/2022]
Abstract
Dendritic cells (DC) are bone marrow derived leucocytes that are part of the mononuclear phagocytic system. These are surveillance cells found in all tissues and, as specialised antigen presenting cells, direct immune responses. Membrane molecules on the DC surface form a landscape that defines them as leucocytes and part of the mononuclear phagocytic system, interacts with their environment and directs interactions with other cells. This review describes the DC surface landscape, reflects on the different molecules confirmed to be on their surface and how they provide the basis for manipulation and translation of the potent functions of these cells into new diagnostics and immune therapies for the clinic.
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Affiliation(s)
- Georgina J Clark
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
| | - Pablo A Silveira
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - P Mark Hogarth
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; Inflammation, Cancer and Infection, Burnet Institute, Melbourne, VIC, Australia
| | - Derek N J Hart
- Dendritic Cell Research, ANZAC Research Institute, Concord, NSW, Australia; Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
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15
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Carvalheiro T, Horta S, van Roon JAG, Santiago M, Salvador MJ, Trindade H, Radstake TRDJ, da Silva JAP, Paiva A. Increased frequencies of circulating CXCL10-, CXCL8- and CCL4-producing monocytes and Siglec-3-expressing myeloid dendritic cells in systemic sclerosis patients. Inflamm Res 2017; 67:169-177. [PMID: 29127442 PMCID: PMC5765192 DOI: 10.1007/s00011-017-1106-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 10/13/2017] [Accepted: 10/16/2017] [Indexed: 01/09/2023] Open
Abstract
Objective To investigate the ex vivo pro-inflammatory properties of classical and non-classical monocytes as well as myeloid dendritic cells (mDCs) in systemic sclerosis (SSc) patients. Methods Spontaneous production of CXCL10, CCL4, CXCL8 and IL-6 was intracellularly evaluated in classical, non-classical monocytes and Siglec-3-expressing mDCs from peripheral blood of SSc patients and healthy controls (HC) through flow cytometry. In addition, production of these cytokines was determined upon toll-like receptor (TLR) 4 plus Interferon-γ (IFN-γ) stimulation. Results The frequency of non-classical monocytes spontaneously producing CXCL10 was increased in both limited (lcSSc) and diffuse cutaneous (dcSSC) subsets of SSc patients and CCL4 was augmented in dcSSc patients. The proportion of CCL4-producing mDCs was also elevated in dcSSc patients and the percentage of mDCS producing CXCL10 only in lcSSc patients. Upon stimulation, the frequency of non-classical monocytes expressing CXCL8 was increased in both patient groups and mDCs expressing CXCL8 only in lcSSc. Moreover, these parameters in unsupervised clustering analysis identify a subset of patients which are characterized by lung fibrosis and reduced pulmonary function. Conclusions These data point towards a role of activated non-classical monocytes and mDCs producing enhanced levels of proinflammatory cytokines in SSc, potentially contributing to lung fibrosis. Electronic supplementary material The online version of this article (10.1007/s00011-017-1106-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tiago Carvalheiro
- Blood and Transplantation Center of Coimbra, Portuguese Institute of Blood and Transplantation, Coimbra, Portugal.,Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.,Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sara Horta
- Blood and Transplantation Center of Coimbra, Portuguese Institute of Blood and Transplantation, Coimbra, Portugal.,Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Joel A G van Roon
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.,Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Mariana Santiago
- Department of Rheumatology, Coimbra University Hospital Center, Coimbra, Portugal
| | - Maria J Salvador
- Department of Rheumatology, Coimbra University Hospital Center, Coimbra, Portugal
| | - Hélder Trindade
- Blood and Transplantation Center of Coimbra, Portuguese Institute of Blood and Transplantation, Coimbra, Portugal
| | - Timothy R D J Radstake
- Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.,Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - José A P da Silva
- Department of Rheumatology, Coimbra University Hospital Center, Coimbra, Portugal.,Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Artur Paiva
- Blood and Transplantation Center of Coimbra, Portuguese Institute of Blood and Transplantation, Coimbra, Portugal. .,Flow Cytometry Unit, Clinical Pathology Service, Coimbra University Hospital Center, Praceta Prof. Mota Pinto, Ed. S. Jerónimo, 3° piso, 30001-301, Coimbra, Portugal.
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