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Hertel A, Aguiar T, Mashiko S, Núñez S, Moore C, Gao B, Ausmeier M, Roy P, Zorn E. Clones reactive to apoptotic cells and specific chemical adducts are prevalent among human thymic B cells. Front Immunol 2024; 15:1462126. [PMID: 39497815 PMCID: PMC11532181 DOI: 10.3389/fimmu.2024.1462126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 10/02/2024] [Indexed: 11/07/2024] Open
Abstract
Introduction Thymus resident B cells were described more than 40 years ago. In early human life, these cells are found predominantly in the medulla and overwhelmingly display an unswitched IgM+ phenotype. The reactivity of thymic IgM B cells, however, is still unclear. Methods Here, we generated 120 IgM-producing B cell clones from 3 separate thymus specimens obtained from infant, adolescent, and adult donors. Using flow cytometry and a unique high-dimensional ELISA platform, we investigated the clones' reactivity to apoptotic cells as well as to common chemical adducts exposed on modified amino acids and other macromolecules. Results Regardless of the age, approximately 30-40% of thymic IgM B cells reacted to apoptotic cells. Further, 30-40% displayed reactivity to at least one adduct, including malondialdehyde, Homocysteine, and NEDD 8. Four distinct reactivity patterns were identified through this profiling. Notably, a significant association was observed between reactivity to apoptotic cells, and to one or more adducts, suggesting that the same determinants were recognized in both assays. Additionally, thymic IgM B cells reactive to adducts were more likely to recognize intra-nuclear or intra-cytoplasmic structures in Hep-2 cells as revealed by immunofluorescence staining. Conclusion/Discussion Collectively, our findings suggest that thymic IgM B cells actively uptake apoptotic bodies and cellular debris in the medulla by binding specific chemical adducts. This mechanism could underpin their antigen-presenting function and further support their role in T-cell negative selection.
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Affiliation(s)
- Andrea Hertel
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Medical Department IV - Großhadern, LMU University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Talita Aguiar
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Shunya Mashiko
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Sarah Núñez
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Facultad de Medicina y Ciencia, Universidad San Sebastián, Santiago, Chile
- Centro Ciencia y Vida, Santiago, Chile
| | - Carolina Moore
- Transplant Center, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Baoshan Gao
- Transplant Center, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Mattea Ausmeier
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Institute of Anatomy and Cell Biology, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Poloumi Roy
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Emmanuel Zorn
- Columbia Center for Translational Immunology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
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2
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Andrade LEC, Klotz W, Herold M, Musset L, Damoiseaux J, Infantino M, Carballo OG, Choi M, von Mühlen CA, Garcia-De La Torre I, Satoh M, Francescantonio PLC, Mimori T, Conrad K, de Melo Cruvinel W, Chan EKL, Fritzler MJ. Reflecting on a decade of the international consensus on ANA patterns (ICAP): Accomplishments and challenges from the perspective of the 7th ICAP workshop. Autoimmun Rev 2024; 23:103608. [PMID: 39187221 DOI: 10.1016/j.autrev.2024.103608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 08/17/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
The International Consensus on ANA Patterns (ICAP) is an ongoing international initiative dedicated to harmonizing technical and interpretation aspects of the HEp-2 IFA test. Comprised of internationally recognized experts in autoimmunity and HEp-2 IFA testing, ICAP has operated for the last 10 years by promoting accurate reading, interpretation, and reporting of HEp-2 IFA images by professionals involved in various areas related to autoimmune diseases, such as clinical diagnostic laboratories, academic research, IVD industry, and patient care. ICAP operates through continuous information exchange with the international community and encourages the participation of younger experts from all over the world. The 7th ICAP workshop has addressed several aspects that originated from this interaction with the international community and has effectively established objective goals and tasks to be delivered over the next two years. Some of these are outlined in this article, including the planning of three audio-visual educational modules to be posted at the www.anapattern.org website, the classification of two novel HEp-2 IFA patterns, the implementation of a project dedicated to continuously updating the information on the clinical and immunologic relevance of the HEp-2 IFA patterns, and the launch of two additional branches of the HEp-2 Clinical and Immunological (HEp-2 CIC) project.
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Affiliation(s)
- Luis E C Andrade
- Rheumatology Division, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil; Immunology Division, Fleury Medicine and Health Laboratories, São Paulo, Brazil.
| | - Werner Klotz
- Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria
| | - Manfred Herold
- Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria
| | - Lucile Musset
- Department of Immunology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Maria Infantino
- Immunology and Allergy Laboratory, San Giovanni di Dio Hospital, Florence, Italy
| | - Orlando G Carballo
- Autoimmunity Section, Rossi Laboratory, Buenos Aires, Argentina; Department of Microbiology and Immunology, Universidad del Hospital Italiano, Buenos Aires, Argentina
| | - May Choi
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | | | - Ignacio Garcia-De La Torre
- Department of Immunology and Rheumatology, Hospital General de Occidente, Universidad de Guadalajara, Guadalajara, Mexico
| | - Minoru Satoh
- Department of Medicine, Kitakyushu Yahata-Higashi Hospital, Kitakyushu, Japan; Department of Human, Information and Life Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | | | - Tsuneyo Mimori
- Ijinkai Takeda General Hospital, Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Karsten Conrad
- Institute of Immunology, Technical University of Dresden, Dresden, Germany
| | | | - Edward K L Chan
- Department of Oral Biology, University of Florida, Gainesville, Florida, USA
| | - Marvin J Fritzler
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada; Mitogen Diagnostics, Calgary, Canada
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3
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Tebo AE. Autoantibody evaluation in idiopathic inflammatory myopathies. Adv Clin Chem 2024; 120:45-67. [PMID: 38762242 DOI: 10.1016/bs.acc.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
Idiopathic inflammatory myopathies (IIM), generally referred to as myositis is a heterogeneous group of diseases characterized by muscle inflammation and/or skin involvement, diverse extramuscular manifestations with variable risk for malignancy and response to treatment. Contemporary clinico-serologic categorization identifies 5 main clinical groups which can be further stratified based on age, specific clinical manifestations and/or risk for cancer. The serological biomarkers for this classification are generally known as myositis-specific (MSAs) and myositis-associated antibodies. Based on the use of these antibodies, IIM patients are classified into anti-synthetase syndrome, dermatomyositis, immune-mediated necrotizing myopathy, inclusion body myositis, and overlap myositis. The current classification criteria for IIM requires clinical findings, laboratory measurements, and histological findings of the muscles. However, the use MSAs and myositis-associated autoantibodies as an adjunct for disease evaluation is thought to provide a cost-effective personalized approach that may not only guide diagnosis but aid in stratification and/or prognosis of patients. This review provides a comprehensive overview of contemporary autoantibodies that are specific or associated myositis. In addition, it highlights possible pathways for the detection and interpretation of these antibodies with limitations for routine clinical use.
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Affiliation(s)
- Anne E Tebo
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, United States.
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4
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Zeng J, Gao X, Gao L, Yu Y, Shen L, Pan X. Recognition of rare antinuclear antibody patterns based on a novel attention-based enhancement framework. Brief Bioinform 2024; 25:bbad531. [PMID: 38279651 PMCID: PMC10818137 DOI: 10.1093/bib/bbad531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 01/28/2024] Open
Abstract
Rare antinuclear antibody (ANA) pattern recognition has been a widely applied technology for routine ANA screening in clinical laboratories. In recent years, the application of deep learning methods in recognizing ANA patterns has witnessed remarkable advancements. However, the majority of studies in this field have primarily focused on the classification of the most common ANA patterns, while another subset has concentrated on the detection of mitotic metaphase cells. To date, no prior research has been specifically dedicated to the identification of rare ANA patterns. In the present paper, we introduce a novel attention-based enhancement framework, which was designed for the recognition of rare ANA patterns in ANA-indirect immunofluorescence images. More specifically, we selected the algorithm with the best performance as our target detection network by conducting comparative experiments. We then further developed and enhanced the chosen algorithm through a series of optimizations. Then, attention mechanism was introduced to facilitate neural networks in expediting the learning process, extracting more essential and distinctive features for the target features that belong to the specific patterns. The proposed approach has helped to obtained high precision rate of 86.40%, 82.75% recall, 84.24% F1 score and 84.64% mean average precision for a 9-category rare ANA pattern detection task on our dataset. Finally, we evaluated the potential of the model as medical technologist assistant and observed that the technologist's performance improved after referring to the results of the model prediction. These promising results highlighted its potential as an efficient and reliable tool to assist medical technologists in their clinical practice.
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Affiliation(s)
- Junxiang Zeng
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Xiupan Gao
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Limei Gao
- Department of Immunology and Rheumatology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Youyou Yu
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lisong Shen
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Xiujun Pan
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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5
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Bonroy C, Vercammen M, Fierz W, Andrade LEC, Van Hoovels L, Infantino M, Fritzler MJ, Bogdanos D, Kozmar A, Nespola B, Broeders S, Patel D, Herold M, Zheng B, Chan EYT, Uibo R, Haapala AM, Musset L, Sack U, Nagy G, Sundic T, Fischer K, Rego de Sousa MJ, Vargas ML, Eriksson C, Heijnen I, García-De La Torre I, Carballo OG, Satoh M, Kim KH, Chan EKL, Damoiseaux J, Lopez-Hoyos M, Bossuyt X. Detection of antinuclear antibodies: recommendations from EFLM, EASI and ICAP. Clin Chem Lab Med 2023; 61:1167-1198. [PMID: 36989417 DOI: 10.1515/cclm-2023-0209] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 02/27/2023] [Indexed: 03/31/2023]
Abstract
OBJECTIVES Antinuclear antibodies (ANA) are important for the diagnosis of various autoimmune diseases. ANA are usually detected by indirect immunofluorescence assay (IFA) using HEp-2 cells (HEp-2 IFA). There are many variables influencing HEp-2 IFA results, such as subjective visual reading, serum screening dilution, substrate manufacturing, microscope components and conjugate. Newer developments on ANA testing that offer novel features adopted by some clinical laboratories include automated computer-assisted diagnosis (CAD) systems and solid phase assays (SPA). METHODS A group of experts reviewed current literature and established recommendations on methodological aspects of ANA testing. This process was supported by a two round Delphi exercise. International expert groups that participated in this initiative included (i) the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group "Autoimmunity Testing"; (ii) the European Autoimmune Standardization Initiative (EASI); and (iii) the International Consensus on ANA Patterns (ICAP). RESULTS In total, 35 recommendations/statements related to (i) ANA testing and reporting by HEp-2 IFA; (ii) HEp-2 IFA methodological aspects including substrate/conjugate selection and the application of CAD systems; (iii) quality assurance; (iv) HEp-2 IFA validation/verification approaches and (v) SPA were formulated. Globally, 95% of all submitted scores in the final Delphi round were above 6 (moderately agree, agree or strongly agree) and 85% above 7 (agree and strongly agree), indicating strong international support for the proposed recommendations. CONCLUSIONS These recommendations are an important step to achieve high quality ANA testing.
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Affiliation(s)
- Carolien Bonroy
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
- Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium
| | - Martine Vercammen
- Department of Laboratory Medicine, AZ Sint-Jan, Brugge, Belgium
- Research Group REIM, Vrije Universiteit Brussel, Brussels, Belgium
| | - Walter Fierz
- Schweizerischer Verband der Diagnostikindustrie (SVDI-ASID), Bern, Switzerland
| | - Luis E C Andrade
- Rheumatology Division, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
- Immunology Division, Fleury Medicine and Health Laboratories, Sao Paulo, Brazil
| | - Lieve Van Hoovels
- Department of Laboratory Medicine, OLV Hospital, Aalst, Belgium
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Maria Infantino
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, Florence, Italy
| | - Marvin J Fritzler
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Dimitrios Bogdanos
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, University General Hospital of Larissa, Larissa, Greece
| | - Ana Kozmar
- Department of Laboratory Diagnostics, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Benoit Nespola
- Laboratory of Immunology, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | | | - Dina Patel
- UK NEQAS Immunology, Immunochemistry & Allergy, Sheffield Teaching Hospitals, Sheffield, UK
| | - Manfred Herold
- Department of Internal Medicine II, Rheumatology Laboratory, Medical University of Innsbruck, Innsbruck, Austria
| | - Bing Zheng
- Department of Laboratory Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Eric Y T Chan
- Department of Pathology, Queen Mary Hospital, Hong Kong, P.R. China
| | - Raivo Uibo
- Department of Immunology, Medical Faculty, University of Tartu, Tartu, Estonia
| | | | - Lucile Musset
- Department of Immunology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Ulrich Sack
- Medical Faculty, Leipzig University, Leipzig, Germany
| | - Gabor Nagy
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Tatjana Sundic
- Department of Immunology and Transfusion Medicine, Haugesund Hospital, Helse Fonna, Haugesund, Norway
| | - Katarzyna Fischer
- Individual Laboratory for Rheumatologic Diagnostics, Pomeranian Medical University in Szczecin, Szczecin, Poland
| | - Maria-José Rego de Sousa
- Immunopathology and Autoimmunity Department, Centro de Medicina Laboratorial Germano de Sousa, Lisbon, Portugal
| | | | - Catharina Eriksson
- Department of Clinical Microbiology Section of Infection and Immunology, Umeå University, Umeå, Sweden
| | - Ingmar Heijnen
- Immunology, Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Ignacio García-De La Torre
- Department of Immunology and Rheumatology, Hospital General de Occidente, Universidad de Guadalajara, Guadalajara, Mexico
| | - Orlando Gabriel Carballo
- Laboratory of Immunology, Hospital Carlos G. Durand, Buenos Aires, Argentina
- Department of Microbiology and Immunology, Instituto Universitario, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Minoru Satoh
- Department of Human, Information and Life Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
- Department of Medicine, Kitakyushu Yahata-Higashi Hospital, Kitakyushu, Japan
| | - Kyeong-Hee Kim
- Department of Laboratory Medicine, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Edward K L Chan
- Department of Oral Biology, University of Florida, Gainesville, FL, USA
| | - Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Marcos Lopez-Hoyos
- Immunology Service, University Hospital Marques de Valdecilla-IDIVAL, University of Cantabria, Santander, Spain
| | - Xavier Bossuyt
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, University Hospital Leuven, Leuven, Belgium
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6
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Staruszkiewicz M, Pituch-Noworolska A, Skoczen S. Uncommon types of autoantibodies - Detection and clinical associations. Autoimmun Rev 2023; 22:103263. [PMID: 36563770 DOI: 10.1016/j.autrev.2022.103263] [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: 11/18/2022] [Accepted: 12/18/2022] [Indexed: 12/24/2022]
Abstract
Immunofluorescence is a basic method for detection of autoantibodies in serum. It is used as screening for people with symptoms suggesting autoimmune process and disease. Antinuclear antibodies (ANA) assay detecting antibodies against nuclear proteins used commonly for diagnosis of systemic autoimmune disease, although antibodies against cytoplasmic components and mitotic structures are usable in clinic. The majority of ANA nuclear patterns have been comprehensively studied with increasing data. However, the cytoplasmic and mitotic patterns are underestimated and still require further assessment. In this review the clinical associations and significance of uncommon types of autoantibodies are presented and discussed.
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Affiliation(s)
| | | | - Szymon Skoczen
- Department of Paediatric Oncology and Haematology, Jagiellonian University, Medical College, Krakow, Poland; Department of Oncology and Haematology, University Children's Hospital, Krakow, Poland.
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7
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Improved performance of confirmatory assays for detecting dense fine speckled (DFS) 70 antibodies. Pathology 2022; 54:904-909. [DOI: 10.1016/j.pathol.2022.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/02/2022] [Accepted: 05/22/2022] [Indexed: 11/22/2022]
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8
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von Mühlen CA, Garcia-De La Torre I, Infantino M, Damoiseaux J, Andrade LEC, Carballo OG, Conrad K, Francescantonio PLC, Fritzler MJ, Herold M, Klotz W, de Melo Cruvinel W, Mimori T, Satoh M, Musset L, Chan EKL. How to report the antinuclear antibodies (anti-cell antibodies) test on HEp-2 cells: guidelines from the ICAP initiative. Immunol Res 2021; 69:594-608. [PMID: 34625914 DOI: 10.1007/s12026-021-09233-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/30/2021] [Indexed: 12/15/2022]
Abstract
Results of the anti-nuclear antibodies-indirect immunofluorescence assay (anti-cell antibodies test) on HEp-2 cell substrates should be communicated to clinicians in a standardized way, adding value to laboratory findings and helping with critical clinical decisions. This paper proposes a test report based on the practices informed by 118 laboratories in 68 countries, with recommendations from the International Consensus on ANA Patterns (ICAP) group. Major focus is placed on the report format containing endpoint titers, immunofluorescence patterns together with anti-cell (AC) nomenclature, remarks on follow-up or reflex testing, and possible other autoantibody associations. ISO 15,189 directives were integrated into the test report. Special situations addressed include serum screening dilutions and endpoint titers, relevance of immunofluorescence patterns with special attention to cytoplasmic patterns, mixed and compound patterns, and how to report different titers corresponding to multiple patterns or autoantibodies in the same sample. This paper suggests a subtitle for the HEp-2-IIFA, namely anti-cell antibodies test, which could gradually substitute the original outdated ANA nomenclature. This ICAP pro forma report represents a further step in harmonizing the way relevant clinical information could be provided by laboratories.
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Affiliation(s)
- Carlos Alberto von Mühlen
- Hospital Moinhos de Vento, Rheumatology Unit, Porto Alegre, Brazil. .,Consultant in Rheumatology and Clinical Pathology, San Diego, USA.
| | - Ignacio Garcia-De La Torre
- Department of Immunology and Rheumatology, Hospital General de Occidente, Universidad de Guadalajara, Guadalajara, Mexico
| | - Maria Infantino
- Immunology and Allergy Laboratory, San Giovanni Di Dio Hospital, Florence, Italy
| | - Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Luis E C Andrade
- Rheumatology Division, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil.,Immunology Division, Fleury Medicine and Health Laboratories, São Paulo, Brazil
| | - Orlando Gabriel Carballo
- Laboratory of Immunology, Hospital Carlos G. Durand, Buenos Aires, Argentina.,Department of Microbiology and Immunology, Instituto Universitario del Hospital Italiano, Buenos Aires, Argentina
| | - Karsten Conrad
- Institute of Immunology, Technical University of Dresden, Dresden, Germany
| | | | - Marvin J Fritzler
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Manfred Herold
- Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Klotz
- Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Tsuneyo Mimori
- Ijinkai Takeda General Hospital, and Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Minoru Satoh
- Department of Clinical Nursing, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Lucile Musset
- Department of Immunology, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Edward K L Chan
- Department of Oral Biology, University of Florida, Gainesville, FL, USA
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