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Liu FQ, Qu QY, Lei Y, Chen Q, Chen YX, Li ML, Sun XY, Wu YJ, Huang QS, Fu HX, Kong Y, Li YY, Wang QF, Huang XJ, Zhang XH. High dimensional proteomic mapping of bone marrow immune characteristics in immune thrombocytopenia. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1635-1647. [PMID: 38644444 DOI: 10.1007/s11427-023-2520-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/09/2024] [Indexed: 04/23/2024]
Abstract
To investigate the role of co-stimulatory and co-inhibitory molecules on immune tolerance in immune thrombocytopenia (ITP), this study mapped the immune cell heterogeneity in the bone marrow of ITP at the single-cell level using Cytometry by Time of Flight (CyTOF). Thirty-six patients with ITP and nine healthy volunteers were enrolled in the study. As soluble immunomodulatory molecules, more sCD25 and sGalectin-9 were detected in ITP patients. On the cell surface, co-stimulatory molecules like ICOS and HVEM were observed to be upregulated in mainly central memory and effector T cells. In contrast, co-inhibitory molecules such as CTLA-4 were significantly reduced in Th1 and Th17 cell subsets. Taking a platelet count of 30×109 L-1 as the cutoff value, ITP patients with high and low platelet counts showed different T cell immune profiles. Antigen-presenting cells such as monocytes and B cells may regulate the activation of T cells through CTLA-4/CD86 and HVEM/BTLA interactions, respectively, and participate in the pathogenesis of ITP. In conclusion, the proteomic and soluble molecular profiles brought insight into the interaction and modulation of immune cells in the bone marrow of ITP. They may offer novel targets to develop personalized immunotherapies.
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Affiliation(s)
- Feng-Qi Liu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Qing-Yuan Qu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Ying Lei
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qi Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Yu-Xiu Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Meng-Lin Li
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Xue-Yan Sun
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Ye-Jun Wu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Qiu-Sha Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Yuan Kong
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
| | - Yue-Ying Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qian-Fei Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100074, China
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, 100191, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, 100044, China.
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044, China.
- National Clinical Research Center for Hematologic Disease, Beijing, 100044, China.
- Collaborative Innovation Centre of Hematology, Peking University, Beijing, 100044, China.
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Viklicky O, Hruba P, Novotny M, Kment M, Roder M, Halloran PF, Böhmig GA. Targeting CD38 in Subclinical Antibody-mediated Rejection in HLA-incompatible Kidney Transplantation: A Case Report. Transplant Direct 2024; 10:e1685. [PMID: 39035116 PMCID: PMC11259386 DOI: 10.1097/txd.0000000000001685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/15/2024] [Accepted: 06/02/2024] [Indexed: 07/23/2024] Open
Affiliation(s)
- Ondrej Viklicky
- Department of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- Transplant Laboratory, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Petra Hruba
- Transplant Laboratory, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Marek Novotny
- Department of Nephrology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Martin Kment
- Department of Pathology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Matej Roder
- Department of Immunogenetics, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | | | - Georg A. Böhmig
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University Vienna, Vienna, Austria
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5
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von Samson-Himmelstjerna FA, Kakavand N, Gleske C, Schraml F, Basta AA, Braunisch MC, Bräsen JH, Schmitz J, Kraus D, Weinmann-Menke J, Zacharias HU, Vaulet T, Naesens M, Krautter M, Schwenger V, Esser G, Kolbrink B, Amann K, Holzmann-Littig C, Echterdiek F, Kunzendorf U, Renders L, Schulte K, Heemann U. Potential and Uncertainties of RejectClass in Acute Kidney Graft Dysfunction: An Independent Validation Study. Transplantation 2024; 108:1228-1238. [PMID: 38196094 DOI: 10.1097/tp.0000000000004906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND Kidney graft rejections are classified based on the Banff classification. The RejectClass algorithm, initially derived from a cohort comprising mostly protocol biopsies, identifies data-driven phenotypes of acute rejection and chronic pathology using Banff lesion scores. It also provides composite scores for inflammation activity and chronicity. This study independently evaluates the performance of RejectClass in a cohort consisting entirely of indication biopsies. METHODS We retrospectively applied RejectClass to 441 patients from the German TRABIO (TRAnsplant BIOpsies) cohort who had received indication biopsies. The primary endpoint was death-censored graft failure during 2 y of follow-up. RESULTS The application of RejectClass to our cohort demonstrated moderately comparable phenotypic features with the derivation cohort, and most clusters indicated an elevated risk of graft loss. However, the reproduction of all phenotypes and the associated risks of graft failure, as depicted in the original studies, was not fully accomplished. In contrast, adjusted Cox proportional hazards analyses substantiated that both the inflammation score and the chronicity score are independently associated with graft loss, exhibiting hazard ratios of 1.7 (95% confidence interval, 1.2-2.3; P = 0.002) and 2.2 (95% confidence interval, 1.8-2.6; P < 0.001), respectively, per 0.25-point increment (scale: 0.0-1.0). CONCLUSIONS The composite inflammation and chronicity scores may already have direct utility in quantitatively assessing the disease stage. Further refinement and validation of RejectClass clusters are necessary to achieve more reliable and accurate phenotyping of rejection.
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Affiliation(s)
| | - Nassim Kakavand
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Charlotte Gleske
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Florian Schraml
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Agathe A Basta
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Matthias C Braunisch
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan H Bräsen
- Nephropathology Unit, Department of Pathology, Hannover Medical School, Hannover, Germany
| | - Jessica Schmitz
- Nephropathology Unit, Department of Pathology, Hannover Medical School, Hannover, Germany
| | - Daniel Kraus
- Department of Nephrology, Department of Internal Medicine 1, University Medical Center Mainz, Mainz, Germany
| | - Julia Weinmann-Menke
- Department of Nephrology, Department of Internal Medicine 1, University Medical Center Mainz, Mainz, Germany
| | - Helena U Zacharias
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
| | - Thibaut Vaulet
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Maarten Naesens
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Markus Krautter
- Department of Nephrology, Transplant Center, Klinikum Stuttgart, Stuttgart, Germany
| | - Vedat Schwenger
- Department of Nephrology, Transplant Center, Klinikum Stuttgart, Stuttgart, Germany
| | - Grit Esser
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Benedikt Kolbrink
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Kerstin Amann
- Department of Nephropathology, University Hospital Erlangen, University of Erlangen-Nürnberg, Erlangen, Germany
| | - Christopher Holzmann-Littig
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Fabian Echterdiek
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ulrich Kunzendorf
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Lutz Renders
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Kevin Schulte
- Department of Nephrology and Hypertension, University Hospital Schleswig-Holstein-Campus Kiel, Kiel, Germany
| | - Uwe Heemann
- Department of Nephrology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
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