Comparative Analysis of BIOCHIP Mosaic-Based Indirect Immunofluorescence with Enzyme-Linked Immunosorbent Assay for Diagnosing Myasthenia Gravis.

BIOCHIP anti-acetylcholine receptor antibodies anti-muscle-specific tyrosine kinase antibodies biomarker diagnosis myasthenia gravis

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
13 Nov 2021
Historique:
received: 28 09 2021
revised: 04 11 2021
accepted: 10 11 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 28 11 2021
Statut: epublish

Résumé

The detection of anti-acetylcholine receptor (AChR) and anti-muscle-specific tyrosine kinase (MuSK) antibodies is useful in myasthenia gravis (MG) diagnosis and management. BIOCHIP mosaic-based indirect immunofluorescence is a novel analytical method, which employs the simultaneous detection of anti-AChR and anti-MuSK antibodies in a single miniature incubation field. In this study, we compare, for the first time, the BIOCHIP MG mosaic with conventional enzyme-linked immunosorbent assay (ELISA) in the diagnosis of MG. A total of 71 patients with MG diagnosis were included in the study. Anti-AChR and anti-MuSK antibodies were measured separately by two different ELISA and simultaneously by BIOCHIP. The results were then compared. The overall concordance between ELISA and BIOCHIP for anti-AChR reactivity was 74%. Cohen's kappa was 0.51 (95% CI 0.32-0.71), which corresponds to 90% of the maximum possible kappa (0.57), given the observed marginal frequencies. The overall concordance for anti-MuSK reactivity was 84%. Cohen's kappa was 0.11 (95% CI 0.00-0.36), which corresponds to 41% of the maximum possible kappa (0.27). The overall concordance among assays is not optimal.

Sections du résumé

BACKGROUND BACKGROUND
The detection of anti-acetylcholine receptor (AChR) and anti-muscle-specific tyrosine kinase (MuSK) antibodies is useful in myasthenia gravis (MG) diagnosis and management. BIOCHIP mosaic-based indirect immunofluorescence is a novel analytical method, which employs the simultaneous detection of anti-AChR and anti-MuSK antibodies in a single miniature incubation field. In this study, we compare, for the first time, the BIOCHIP MG mosaic with conventional enzyme-linked immunosorbent assay (ELISA) in the diagnosis of MG.
METHODS METHODS
A total of 71 patients with MG diagnosis were included in the study. Anti-AChR and anti-MuSK antibodies were measured separately by two different ELISA and simultaneously by BIOCHIP. The results were then compared.
RESULTS RESULTS
The overall concordance between ELISA and BIOCHIP for anti-AChR reactivity was 74%. Cohen's kappa was 0.51 (95% CI 0.32-0.71), which corresponds to 90% of the maximum possible kappa (0.57), given the observed marginal frequencies. The overall concordance for anti-MuSK reactivity was 84%. Cohen's kappa was 0.11 (95% CI 0.00-0.36), which corresponds to 41% of the maximum possible kappa (0.27).
CONCLUSION CONCLUSIONS
The overall concordance among assays is not optimal.

Identifiants

pubmed: 34829445
pii: diagnostics11112098
doi: 10.3390/diagnostics11112098
pmc: PMC8619605
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Caterina Maria Gambino (CM)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Luisa Agnello (L)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Bruna Lo Sasso (B)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Concetta Scazzone (C)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Rosaria Vincenza Giglio (RV)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Giuseppina Candore (G)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.

Anna Maria Ciaccio (AM)

Unit of Clinical Biochemistry, University of Palermo, 90127 Palermo, Italy.

Vincenzo Di Stefano (V)

Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, 90127 Palermo, Italy.

Filippo Brighina (F)

Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, 90127 Palermo, Italy.

Matteo Vidali (M)

Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy.

Marcello Ciaccio (M)

Clinical Molecular Medicine and Laboratory Medicine, Institute of Clinical Biochemistry, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy.
Department of Laboratory Medicine, Azienda Ospedaliera Universitaria Policlinico "P. Giaccone", 90127 Palermo, Italy.

Classifications MeSH