1
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Scala P, Manzo P, Lamparelli EP, Lovecchio J, Ciardulli MC, Giudice V, Selleri C, Giordano E, Rehak L, Maffulli N, Della Porta G. Peripheral blood mononuclear cells contribute to myogenesis in a 3D bioengineered system of bone marrow mesenchymal stem cells and myoblasts. Front Bioeng Biotechnol 2023; 10:1075715. [PMID: 36704300 PMCID: PMC9871311 DOI: 10.3389/fbioe.2022.1075715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023] Open
Abstract
In this work, a 3D environment obtained using fibrin scaffold and two cell populations, such as bone marrow-derived mesenchymal stem cells (BM-MSCs), and primary skeletal muscle cells (SkMs), was assembled. Peripheral blood mononuclear cells (PBMCs) fraction obtained after blood filtration with HemaTrate® filter was then added to the 3D culture system to explore their influence on myogenesis. The best cell ratio into a 3D fibrin hydrogel was 1:1 (BM-MSCs plus SkMs:PBMCs) when cultured in a perfusion bioreactor; indeed, excellent viability and myogenic event induction were observed. Myogenic genes were significantly overexpressed when cultured with PBMCs, such as MyoD1 of 118-fold at day 14 and Desmin 6-fold at day 21. Desmin and Myosin Heavy Chain were also detected at protein level by immunostaining along the culture. Moreover, the presence of PBMCs in 3D culture induced a significant downregulation of pro-inflammatory cytokine gene expression, such as IL6. This smart biomimetic environment can be an excellent tool for investigation of cellular crosstalk and PBMC influence on myogenic processes.
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Affiliation(s)
- Pasqualina Scala
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy
| | - Paola Manzo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy,Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy
| | | | - Joseph Lovecchio
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Bologna, Italy
| | | | - Valentina Giudice
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy,Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy
| | - Carmine Selleri
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy,Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, Salerno, Italy
| | - Emanuele Giordano
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Bologna, Italy
| | - Laura Rehak
- Athena Biomedical innovations, Florence, Italy
| | - Nicola Maffulli
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy,Centre for Sports and Exercise Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, England
| | - Giovanna Della Porta
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy,Interdepartment Centre BIONAM, University of Salerno, Fisciano, Italy,*Correspondence: Giovanna Della Porta,
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2
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Giudice V, Fonseca V, Selleri C, Gadina M. Cell Viability Multiplexing: Quantification of Cellular Viability by Barcode Flow Cytometry and Computational Analysis. Methods Mol Biol 2023; 2644:99-121. [PMID: 37142918 DOI: 10.1007/978-1-0716-3052-5_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Fluorescent cell barcoding (FCB) is a useful flow cytometric technique for high-throughput multiplexed analyses and can minimize technical variations after preliminary optimization and validation of protocols. To date, FCB is widely used for measurement of phosphorylation status of certain proteins, while it can be also employed for cellular viability assessment. In this chapter, we describe the protocol to perform FCB combined with viability assessment on lymphocytes and monocytes using manual and computational analysis. We also provide recommendations for FCB protocol optimization and validation for clinical sample analysis.
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Affiliation(s)
- Valentina Giudice
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, Baronissi, Salerno, Italy.
- Cell Biology Section, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Victoria Fonseca
- Translational Immunology Section, Office of Science Technology (OST), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health, Bethesda, MD, USA
| | - Carmine Selleri
- Cell Biology Section, Hematology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Massimo Gadina
- Translational Immunology Section, Office of Science Technology (OST), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health, Bethesda, MD, USA.
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3
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Gorrese M, Bertolini A, Fresolone L, Campana A, Pezzullo L, Guariglia R, Mettivier L, Manzo P, Cuffa B, D'Alto F, Serio B, Selleri C, Giudice V. Inter-intra instrument comparison and standardization of a 10-color immunophenotyping for B and T cell non-Hodgkin lymphoma diagnosis and monitoring. J Immunol Methods 2022; 511:113374. [PMID: 36243108 DOI: 10.1016/j.jim.2022.113374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/30/2022] [Accepted: 10/08/2022] [Indexed: 11/06/2022]
Abstract
Harmonization of flow cytometry protocols from instrument settings to antibody panel and reagents is highly encouraged for inter-laboratory data comparison in both research and clinical settings, especially for minimal residual disease monitoring evaluation in hematological diseases across centers. Here, we described inter-intra instrument comparison of two standardized 10-color staining dried tubes for B- and T-cell lymphoproliferative disorder diagnosis and monitoring on two different flow cytometers, a Beckman Coulter NaviosEx and a Beckman Coulter DxFlex. A total of 47 consecutive patients were enrolled, and 39 of them were evaluable for further studies. We show highly comparable results between the two cytometers for cell frequency and fluorescence intensity signals for both standardized 10-color staining dried tubes. For this latter, fluorescence of each antibody and subject was normalized on the mean value obtained from the entire study cohort thus reducing the effects of biological variability and allowing comparison between instruments with different detector sensitivity. In summary, dried tubes were confirmed as an optimal standardized diagnostic tool, especially when associated with EuroFlow standardized procedures by minimizing technical and biological variability. However, data analysis is still operator-dependent, and more efforts are needed to develop automated or semi-automated software for flow cytometry data analysis for diagnostic purposes.
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Affiliation(s)
- Marisa Gorrese
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Angela Bertolini
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Lucia Fresolone
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Annapaola Campana
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Luca Pezzullo
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Roberto Guariglia
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Laura Mettivier
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Paola Manzo
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Bianca Cuffa
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Francesca D'Alto
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Bianca Serio
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy
| | - Carmine Selleri
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy; Department of Medicine, Surgery, and Dentistry, University of Salerno, Baronissi, Italy.
| | - Valentina Giudice
- Hematology and Transplant Center, University Hospital "San Giovanni di Dio e Ruggi d'Aragona", Salerno, Italy; Department of Medicine, Surgery, and Dentistry, University of Salerno, Baronissi, Italy
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4
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Junker F, Camillo Teixeira P. Barcoding of live peripheral blood mononuclear cells to assess immune cell phenotypes using full spectrum flow cytometry. Cytometry A 2022; 101:909-921. [PMID: 35150047 DOI: 10.1002/cyto.a.24543] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 01/11/2022] [Accepted: 02/07/2022] [Indexed: 01/27/2023]
Abstract
Barcoded flow cytometry is a multiplexing technique allowing for the simultaneous acquisition of cells from different donors or experimental conditions in a high-throughput manner. This approach allows to synchronize acquisition of samples and reduce variance introduced through the operator or technical platform. However, to date, only very few flow cytometry barcoding protocols have been developed, which often suffer from technical limitations. Here, we developed a novel barcoding protocol for a full-spectrum flow cytometry platform. We developed a 21-color immunophenotyping assay for up to 20 different samples analyzed simultaneously with comparable variance between repeated single-tube acquisition and postde-multiplexing. Barcoding offers great potential in parallelizing the analysis of complex cell populations such as peripheral blood mononuclear cells (PBMCs). Consequently, we assessed the performance of our method in situations where PBMCs were challenged with phytohaemagglutinin (PHA), a strong mitogen and broad activator of B cells and T cells, and superantigen Staphylococcus enterotoxin B (SEB) that has been reported to induce polyclonal T cell activation. PBMCs were either barcoded before pooled challenge or challenged individually pre-barcoding. Our final workflow included pooled immunophenotyping followed by machine learning aided single-cell data analysis and enabled us to identify robust PHA and SEB mode of action related phenotypic changes in PBMC immune cell lineages. Conclusively, we present a novel technique allowing the barcoded acquisition and analysis of PBMCs from up to 20 different donors and present a valid basis for the future development of complex immunophenotyping protocols.
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Affiliation(s)
- Fabian Junker
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Priscila Camillo Teixeira
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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5
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Ciardulli MC, Scala P, Giudice V, Santoro A, Selleri C, Oliva F, Maffulli N, Porta GD. Stem Cells from Healthy and Tendinopathic Human Tendons: Morphology, Collagen and Cytokines Expression and Their Response to T3 Thyroid Hormone. Cells 2022; 11:cells11162545. [PMID: 36010622 PMCID: PMC9406581 DOI: 10.3390/cells11162545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 11/20/2022] Open
Abstract
The aim of this study was to investigate the effect of triiodothyronine (T3) on tendon specific markers and cytokines expression of stem cells extracted from human tendons. Indeed, thyroid hormones have been reported to be protective factors, maintaining tendons’ homeostasis, whereas tendinopathy is believed to be related to a failed healing response. Healthy and tendinopathic human tendons were harvested to isolate tendon stem/progenitor cells (TSPCs). TSPCs obtained from pathological samples showed gene expression and morphological modifications at baseline in comparison with cells harvested from healthy tissues. When cells were maintained in a medium supplemented with T3 (10−6 M), only pathological populations showed a significant upregulation of tenogenic markers (DCN, TNC, COL1A1, COL3A1). Immunostaining revealed that healthy cells constantly released type I collagen, typical of tendon matrix, whereas pathological ones overexpressed and secreted type III collagen, typical of scarred and impaired tissue. Pathological cells also overexpressed pro- and anti-inflammatory cytokines, suggesting an impaired balance in the presence of T3, without STAT3 activation. Moreover, DKK-1 was significantly high in the culture medium of pathological cell cultures and was reversed by T3. This study opens perspectives on the complex biochemical alteration of cells from pathological tendons, which may lead to the chronic disease context with an impaired extracellular matrix.
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Affiliation(s)
- Maria Camilla Ciardulli
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
| | - Pasqualina Scala
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
| | - Valentina Giudice
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
- Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, 84131 Salerno, Italy
| | - Antonietta Santoro
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
| | - Carmine Selleri
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
- Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi D’Aragona”, 84131 Salerno, Italy
| | - Francesco Oliva
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
| | - Nicola Maffulli
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
- Centre for Sports and Exercise Medicine, Barts and The London School of Medicine and Dentistry, Mile End Hospital, Queen Mary University of London, 275 Bancroft Road, London E1 4DG, UK
| | - Giovanna Della Porta
- Laboratory of Translational Medicine, Department of Medicine, Surgery and Dentistry, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
- Interdepartment Centre BIONAM, University of Salerno, Via Giovanni Paolo I, 84084 Fisciano, Italy
- Correspondence:
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6
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Samson LD, Engelfriet P, Verschuren WMM, Picavet HSJ, Ferreira JA, de Zeeuw-Brouwer ML, Buisman AM, Boots AMH. Impaired JAK-STAT pathway signaling in leukocytes of the frail elderly. Immun Ageing 2022; 19:5. [PMID: 35039055 PMCID: PMC8762193 DOI: 10.1186/s12979-021-00261-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/23/2021] [Indexed: 12/30/2022]
Abstract
Background Elderly often show reduced immune functioning and can develop chronic low-grade inflammation. Why some elderly are more prone to become frail is unknown. We investigated whether frailty is associated with altered cytokine signaling through the JAK-STAT pathway in leukocytes of 34 individuals aged 65–74 years. In addition, we investigated how this relation is affected by chronic low-grade inflammation during the previous 20 years. Cytokine signaling was quantified by measuring intracellular STAT1, STAT3, and STAT5 phosphorylation in monocytes, B cells, CD4+ T cells and CD8+ T cells upon stimulation with IL-2, IL-6, IL-10, IFNα and IFNγ, using phospho-flow cytometry. Presence of chronic low-grade inflammation was investigated by evaluating 18 different plasma inflammatory markers that had been measured repeatedly in the same individuals over the previous 20 years. Frailty was assessed as a score on a frailty index. Results We found that lower cytokine-induced pSTAT responsiveness in the various cell subsets was seen with higher frailty scores in both men and women, indicative of dysfunctional pSTAT responses in frailer individuals. Associations differed between men and women, with frailer women showing lower pSTAT1 responses in monocytes and frailer men showing lower pSTAT5 responses in CD4+ and CD8+ T cells. Notably, lower IL-10-induced pSTAT3 responses in men were related to both higher frailty scores and higher CRP levels over the past 20 years. This might indicate poor resolution of low-grade inflammation due to defective regulatory pSTAT signaling in older men. Conclusions Our results emphasize the importance of preserved JAK-STAT pathway signaling in healthy aging and reveal cellular pSTAT levels as a candidate biomarker of frailty. Supplementary Information The online version contains supplementary material available at 10.1186/s12979-021-00261-w.
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Affiliation(s)
- Leonard Daniël Samson
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands. .,Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Peter Engelfriet
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands
| | - W M Monique Verschuren
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - H Susan J Picavet
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands
| | - José A Ferreira
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands
| | | | - Anne-Marie Buisman
- National Institute of Public Health and the Environment, Bilthoven, The Netherlands
| | - A Mieke H Boots
- Department of Rheumatology and Clinical Immunology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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7
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Reisman BJ, Barone SM, Bachmann BO, Irish JM. DebarcodeR increases fluorescent cell barcoding capacity and accuracy. Cytometry A 2021; 99:946-953. [PMID: 33960644 PMCID: PMC8410645 DOI: 10.1002/cyto.a.24363] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/09/2021] [Accepted: 04/20/2021] [Indexed: 12/25/2022]
Abstract
Fluorescent cell barcoding (FCB) enables efficient collection of tens to hundreds of flow cytometry samples by covalently marking cells with varying concentration of spectrally distinct dyes. A key consideration in FCB is to balance the density of dye barcodes, the complexity of cells in the sample, and the desired accuracy of the debarcoding. Unfortunately, barcoding bench and computational methods have not benefited from the high dimensional revolution in cytometry due to a lack of automated computational tools that effectively balance these common cytometry needs. DebarcodeR addresses these unmet needs by providing a framework for computational debarcoding augmented by improvements to experimental methods. Adaptive regression modeling accounted for differential dye uptake between different cell types and Gaussian mixture modeling provided a robust method to probabilistically assign cells to samples. Assignment tolerance parameters are available to allow users to balance high cell recovery with accurate assignments. Improvements to experimental methods include: (1) inclusion of an "external standard" control where a pool of all cells was stained a single level of each barcoding dyes and (2) an "internal standard" where each cell is stained with a single level of a separate dye. DebarcodeR significantly improved speed, accuracy, and reproducibility of FCB while avoiding selective loss of unusual cell subsets when debarcoding microtiter plates of cell lines and heterogenous mixtures of primary cells. DebarcodeR is available on Github as an R package that works with flowCore and Cytoverse packages at github.com/cytolab/DebarcodeR.
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Affiliation(s)
| | - Sierra M. Barone
- Department of Cell & Developmental Biology, Vanderbilt University, Nashville, TN, USA
- Department of Pathology, Microbiology & Immunology, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Jonathan M. Irish
- Department of Cell & Developmental Biology, Vanderbilt University, Nashville, TN, USA
- Department of Pathology, Microbiology & Immunology, Vanderbilt University, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
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8
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Hasni SA, Gupta S, Davis M, Poncio E, Temesgen-Oyelakin Y, Carlucci PM, Wang X, Naqi M, Playford MP, Goel RR, Li X, Biehl AJ, Ochoa-Navas I, Manna Z, Shi Y, Thomas D, Chen J, Biancotto A, Apps R, Cheung F, Kotliarov Y, Babyak AL, Zhou H, Shi R, Stagliano K, Tsai WL, Vian L, Gazaniga N, Giudice V, Lu S, Brooks SR, MacKay M, Gregersen P, Mehta NN, Remaley AT, Diamond B, O’Shea JJ, Gadina M, Kaplan MJ. Phase 1 double-blind randomized safety trial of the Janus kinase inhibitor tofacitinib in systemic lupus erythematosus. Nat Commun 2021; 12:3391. [PMID: 34099646 PMCID: PMC8185103 DOI: 10.1038/s41467-021-23361-z] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 04/22/2021] [Indexed: 02/05/2023] Open
Abstract
Increased risk of premature cardiovascular disease (CVD) is well recognized in systemic lupus erythematosus (SLE). Aberrant type I-Interferon (IFN)-neutrophil interactions contribute to this enhanced CVD risk. In lupus animal models, the Janus kinase (JAK) inhibitor tofacitinib improves clinical features, immune dysregulation and vascular dysfunction. We conducted a randomized, double-blind, placebo-controlled clinical trial of tofacitinib in SLE subjects (ClinicalTrials.gov NCT02535689). In this study, 30 subjects are randomized to tofacitinib (5 mg twice daily) or placebo in 2:1 block. The primary outcome of this study is safety and tolerability of tofacitinib. The secondary outcomes include clinical response and mechanistic studies. The tofacitinib is found to be safe in SLE meeting study's primary endpoint. We also show that tofacitinib improves cardiometabolic and immunologic parameters associated with the premature atherosclerosis in SLE. Tofacitinib improves high-density lipoprotein cholesterol levels (p = 0.0006, CI 95%: 4.12, 13.32) and particle number (p = 0.0008, CI 95%: 1.58, 5.33); lecithin: cholesterol acyltransferase concentration (p = 0.024, CI 95%: 1.1, -26.5), cholesterol efflux capacity (p = 0.08, CI 95%: -0.01, 0.24), improvements in arterial stiffness and endothelium-dependent vasorelaxation and decrease in type I IFN gene signature, low-density granulocytes and circulating NETs. Some of these improvements are more robust in subjects with STAT4 risk allele.
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Affiliation(s)
- Sarfaraz A. Hasni
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Sarthak Gupta
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA ,grid.420086.80000 0001 2237 2479Systemic Autoimmunity Branch, NIAMS, NIH, Bethesda, MD USA
| | - Michael Davis
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Elaine Poncio
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Yenealem Temesgen-Oyelakin
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Philip M. Carlucci
- grid.420086.80000 0001 2237 2479Systemic Autoimmunity Branch, NIAMS, NIH, Bethesda, MD USA
| | - Xinghao Wang
- grid.420086.80000 0001 2237 2479Systemic Autoimmunity Branch, NIAMS, NIH, Bethesda, MD USA
| | - Mohammad Naqi
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Martin P. Playford
- grid.279885.90000 0001 2293 4638Section of Inflammation and Cardiometabolic Diseases, National Heart Lung and Blood Institute (NHLBI), NIH, Bethesda, MD USA
| | - Rishi R. Goel
- grid.420086.80000 0001 2237 2479Systemic Autoimmunity Branch, NIAMS, NIH, Bethesda, MD USA
| | - Xiaobai Li
- grid.410305.30000 0001 2194 5650NIH Clinical Center Biostatistics and Clinical Epidemiology Service, Bethesda, MD USA
| | - Ann J. Biehl
- grid.420086.80000 0001 2237 2479Office of the Clinical Director, NIAMS, NIH, Bethesda, MD USA
| | - Isabel Ochoa-Navas
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Zerai Manna
- grid.420086.80000 0001 2237 2479Lupus Clinical Trials Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD USA
| | - Yinghui Shi
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Donald Thomas
- Arthritis and Pain Associates of PG County, Greenbelt, MD USA
| | - Jinguo Chen
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Angélique Biancotto
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Richard Apps
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Foo Cheung
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Yuri Kotliarov
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Ashley L. Babyak
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Huizhi Zhou
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Rongye Shi
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Katie Stagliano
- grid.94365.3d0000 0001 2297 5165Trans-NIH Center for Human Immunology, Autoimmunity and Inflammation, NIH, Bethesda, MD USA
| | - Wanxia Li Tsai
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Laura Vian
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Nathalia Gazaniga
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Valentina Giudice
- grid.279885.90000 0001 2293 4638Hematology Branch, NHLBI, NIH, Bethesda, MD USA
| | - Shajia Lu
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Stephen R. Brooks
- grid.420086.80000 0001 2237 2479Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD USA
| | - Meggan MacKay
- grid.250903.d0000 0000 9566 0634Feinstein Institute for Medical Research, Manhasset, NY USA
| | - Peter Gregersen
- grid.250903.d0000 0000 9566 0634Feinstein Institute for Medical Research, Manhasset, NY USA
| | - Nehal N. Mehta
- grid.279885.90000 0001 2293 4638Section of Inflammation and Cardiometabolic Diseases, National Heart Lung and Blood Institute (NHLBI), NIH, Bethesda, MD USA
| | - Alan T. Remaley
- grid.279885.90000 0001 2293 4638Translational Vascular Medicine Branch, NHLBI, NIH, Bethesda, MD USA
| | - Betty Diamond
- grid.250903.d0000 0000 9566 0634Feinstein Institute for Medical Research, Manhasset, NY USA
| | - John J. O’Shea
- grid.420086.80000 0001 2237 2479Molecular Immunology and Inflammation Branch, NIAMS, NIH, Bethesda, MD USA
| | - Massimo Gadina
- grid.420086.80000 0001 2237 2479Translational Immunology Section, NIAMS, NIH, Bethesda, MD USA
| | - Mariana J. Kaplan
- grid.420086.80000 0001 2237 2479Systemic Autoimmunity Branch, NIAMS, NIH, Bethesda, MD USA
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