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Bayat B, Lowack J, Audrain M, Croisille L, Curtis B, Dangerfield R, Esmaeili B, Grabowski C, Keller M, Kim H, Kroll H, Kvanka MM, Kwok J, Moritz E, Nathalang O, Nelson D, Nielsen KR, Pahn G, Poles A, Porcelijn L, Sachs UJ, Schönbacher M, Körmöczi GF, Kupatawintu P, Takahashi D, Uhrynowska M, Flesch B, Fung YL. World human neutrophil antigens investigation survey. Vox Sang 2023; 118:763-774. [PMID: 37608544 DOI: 10.1111/vox.13500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/04/2023] [Accepted: 07/10/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND AND OBJECTIVES Human neutrophil antigens (HNAs) are categorized into five systems: HNA-1 to HNA-5. Given the importance of neutrophils in immunity, we sought to create awareness of the role of HNA diagnostic services in managing immune neutropenia and transfusion-related acute lung injury. To provide health communities all around the world with access to these services, we conducted a survey to create a directory of these HNA diagnostic services. MATERIALS AND METHODS An Excel table-based survey was created to capture information on the laboratory's location and was emailed to 55 individuals with known or possible HNA investigation activity. The collected data were then summarized and analysed. RESULTS Of contacted laboratories, the surveys were returned from 23 (38.2%) laboratories; 17 have already established HNA diagnostic (of them 12 were regular participants of the International Granulocyte Immunobiology Workshop [ISBT-IGIW]), 4 laboratories were in the process of establishing their HNA investigation and the remaining 2 responder laboratories, did not conduct HNA investigations. In established laboratories, investigation for autoimmune neutropenia (infancies and adults) was the most frequently requested, and antibodies against HNA-1a and HNA-1b were the most commonly detected. CONCLUSION The directory of survey respondents provides a resource for health professionals wanting to access HNA diagnostic services. The present study offers a comprehensive picture of HNA diagnostics (typing and serology), identifying weak points and areas for improvement for the first time. Identifying more laboratories involved in HNA diagnostics with limited access to international societies in the field will globally improve HNA diagnostics.
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Affiliation(s)
- Behnaz Bayat
- Institute for Clinical Immunology, Transfusion Medicine and Haemostasis, Justus-Liebig-University, Gießen, Germany
| | - Jonas Lowack
- Institute for Clinical Immunology, Transfusion Medicine and Haemostasis, Justus-Liebig-University, Gießen, Germany
| | - Marie Audrain
- Service d'Immunologie, Laboratoire de Biologie, Nantes, France
| | | | - Brian Curtis
- Platelet & Neutrophil Immunology Lab, Versiti, Milwaukee, Wisconsin, USA
| | - Rebecca Dangerfield
- American Red Cross Neutrophil Immunology Laboratory, St Paul, Minnesota, USA
| | - Behnaz Esmaeili
- Department of Basic Medical Sciences, Khoy University of Medical Sciences, Khoy, Iran
- Immunology, Asthma and Allergy Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Claudia Grabowski
- Institut für Transfusionsmedizin Dessau, DRK-Blutspendedienst NSTOB, Dessau, Germany
| | - Margaret Keller
- American Red Cross Neutrophil Immunology Laboratory, St Paul, Minnesota, USA
| | - Hyungsuk Kim
- Seoul National University Hospital, Seoul, South Korea
| | - Hartmut Kroll
- Institut für Transfusionsmedizin Dessau, DRK-Blutspendedienst NSTOB, Dessau, Germany
| | | | - Janette Kwok
- Division of Transplantation and Immunogenetic, Department of Pathology, Queen Mary Hospital, Pok Fu Lam, Hong Kong
| | - Elyse Moritz
- Clinical and Experimental Oncology, Escola Paulista de Medicinia, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Oytip Nathalang
- Faculty of Allied Health Sciences, Thammasat University, Pathumtani, Thailand
| | - Derrick Nelson
- Specialized Laboratory Services, South African National Blood Service, Johannesburg, South Africa
| | | | - Gail Pahn
- Platelet & Granulocyte Reference Laboratory, Australian Red Cross Lifeblood, Brisbane, Australia
| | - Anthony Poles
- Department of Histocompatibility & Immunogenetics, NHS Blood & Transplant, Bristol, UK
| | - Leendert Porcelijn
- Platelet/Leucocyte Serology Laboratory, Sanquin Diagnostic Services, Amsterdam, The Netherlands
| | - Ulrich J Sachs
- Institute for Clinical Immunology, Transfusion Medicine and Haemostasis, Justus-Liebig-University, Gießen, Germany
| | - Marlies Schönbacher
- Department of Transfusion Medicine and Cell Therapy, Medical University of Vienna, Vienna, Austria
| | - Günther F Körmöczi
- Department of Transfusion Medicine and Cell Therapy, Medical University of Vienna, Vienna, Austria
| | | | | | | | - Brigitte Flesch
- Laboratory for Immunogenetics/HLA, DRK Blutspendedienst West, Bad Kreuznach, Germany
| | - Yoke-Lin Fung
- School of Health, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
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Identification of novel genes in Behcet's disease using integrated bioinformatic analysis. Immunol Res 2022; 70:461-468. [PMID: 35364782 PMCID: PMC9273552 DOI: 10.1007/s12026-022-09270-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/22/2022] [Indexed: 12/24/2022]
Abstract
Behcet’s disease (BD) is a chronic vascular inflammatory disease. However, the etiology and molecular mechanisms underlying BD development have not been thoroughly understood. Gene expression data for BD were obtained from the Gene Expression Omnibus database. We used robust rank aggregation (RRA) to identify differentially expressed genes (DEGs) between patients with BD and healthy controls. Gene ontology functional enrichment was used to investigate the potential functions of the DEGs. Protein–protein interaction (PPI) network analysis was performed to identify the hub genes. Receiver operating characteristic analyses were performed to investigate the value of hub genes in the diagnosis of BD. GSE17114 and GSE61399 datasets were included, comprising 32 patients with BD and 26 controls. The RRA integrated analysis identified 44 significant DEGs among the GSE17114 and GSE61399 CD4 + T lymphocytes. Functional enrichment analysis revealed that protein tyrosine/threonine phosphatase activity and immunoglobulin binding were enriched in BD. PPI analysis identified FCGR3B as a hub gene in the CD4 + T lymphocytes of BD patients. Our bioinformatic analysis identified new genetic features, which will enable further understanding of the pathogenesis of BD.
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