Modified radioimmunoassay versus ELISA to quantify anti-acetylcholine receptor antibodies in a mouse model of myasthenia gravis.
Autoantibodies
EAMG
ELISA
Myasthenia gravis
RIA
Journal
Journal of immunological methods
ISSN: 1872-7905
Titre abrégé: J Immunol Methods
Pays: Netherlands
ID NLM: 1305440
Informations de publication
Date de publication:
04 Sep 2024
04 Sep 2024
Historique:
received:
27
05
2024
revised:
07
08
2024
accepted:
03
09
2024
pubmed:
7
9
2024
medline:
7
9
2024
entrez:
6
9
2024
Statut:
aheadofprint
Résumé
In mouse models of myasthenia gravis (MG), anti-acetylcholine receptor (AChR) antibodies can be quantified to monitor disease progression and treatment response. In mice, enzyme-linked immunosorbent assay (ELISA) is the gold standard to quantify these antibodies. However, this method requires antigen purification, which is both time-consuming and expensive. In humans, radioimmunoassay (RIA)-which is more sensitive than ELISA-is commonly used to quantify AChR antibodies. At present, however, no commercial RIA kits are available to quantify these antibodies in mice. The aim of this study was to compare a modified commercial human RIA kit to two ELISA methods to detect AChR antibodies in an experimental autoimmune mouse model of MG (EAMG). C57BL/6 J mice were immunized with purified AChR from Tetronarce californica (T-AChR). Serum samples were analyzed by RIA and two ELISAs (T-AChR and purified mouse AChR peptide [m-AChR]). The modified RIA showed excellent sensitivity (84.1 %) and specificity (100 %) for the detection of AChR antibodies. RIA showed a good agreement with T-AChR ELISA (κ = 0.69) but only moderate agreement with m-AChR ELISA (κ = 0.49). These results demonstrate the feasibility of modifying a commercially-available RIA kit to quantify AChR antibodies in EAMG. The advantage of this technique is that it eliminates the need to develop the entire methodology in-house and reduces inter and intra-laboratory variability.
Identifiants
pubmed: 39241980
pii: S0022-1759(24)00133-9
doi: 10.1016/j.jim.2024.113748
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
113748Informations de copyright
Copyright © 2024 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.