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Comparison of three different ELISAs for the detection of recombinant, native and plasma IL-17A.

Authors :
Ismail MB
Åkefeldt SO
Lourda M
Gavhed D
Gayet R
Aricò M
Henter JI
Delprat C
Valentin H
Source :
MethodsX [MethodsX] 2020 Jul 16; Vol. 7, pp. 100997. Date of Electronic Publication: 2020 Jul 16 (Print Publication: 2020).
Publication Year :
2020

Abstract

Plasma IL-17A detection in Langerhans Cell Histiocytosis (LCH) is currently a source of debate. Indeed, 500-P07G (PeproTech) and 41802 (R&D Systems) anti-IL-17A antibodies have been suspected to recognize nonspecific proteins. To resolve this discrepancy, we set up two new ELISAs by using 41802 or neutralizing eBio64CAP17 (eBioscience) capture monoclonal antibodies that we compared to the commercial PeproTech ELISA kit. The three ELISAs, called E_500-P07G, E_41802 and E_eBio64CAP17, differ in their anti-IL-17A capture antibodies: either polyclonal, monoclonal or neutralizing monoclonal antibodies, respectively. Here, we show that these ELISAs had a similar capacity to specifically detect recombinant or native human IL-17A. However, a significantly lower plasma IL-17A detection was obtained with E_41802 compared to the two other ELISAs. Both E_500-P07G and E_eBio64CAP17 showed similar results. Consequently, we propose that the use of E_500-P07G and E_eBio64CAP17 may ensure more accurate and reliable results in the context of LCH studies. The highest plasma IL-17A levels in LCH patients compared to controls detected by both E_500-P07G and E_eBio64CAP17 ELISAs led us to propose these latter as reference techniques to investigate IL-17A as a potential new biomarker in LCH.•The customization of a new E_eBio64CAP17 ELISA is suitable to detect human IL-17A.•E_eBio64CAP17 ELISA protocol differs only in the anti-IL-17A capture antibody compared to the commercial E_500-P07G PeproTech kit.•Data generated using the E_eBio64CAP17 ELISA are consistent with the PeproTech kit.<br /> (© 2020 The Authors.)

Details

Language :
English
ISSN :
2215-0161
Volume :
7
Database :
MEDLINE
Journal :
MethodsX
Publication Type :
Academic Journal
Accession number :
32775222
Full Text :
https://doi.org/10.1016/j.mex.2020.100997