Title
The quantitative assessment of the secreted IgG repertoire after recall to evaluate the quality of immunizations
Date Issued
15 August 2020
Access level
open access
Resource Type
journal article
Author(s)
Eyer K.
Castrillon C.
Chenon G.
Bibette J.
Bruhns P.
Griffiths A.D.
Baudry J.
Publisher(s)
American Association of Immunologists
Abstract
One of the major goals of vaccination is to prepare the body to rapidly secrete specific Abs during an infection. Assessment of the vaccine quality is often difficult to perform, as simple measurements like Ab titer only partly correlate with protection. Similarly, these simple measurements are not always sensitive to changes in the preceding immunization scheme. Therefore, we introduce in this paper a new, to our knowledge, method to assay the quality of immunization schemes for mice: shortly after a recall with pure Ag, we analyze the frequencies of IgG-secreting cells (IgG-SCs) in the spleen, as well as for each cells, the Ag affinity of the secreted Abs. We observed that after recall, appearance of the IgG-SCs within the spleen of immunized mice was fast (<24 h) and this early response was free of naive IgG-SCs. We further confirmed that our phenotypic analysis of IgG-SCs after recall strongly correlated with the different employed immunization schemes. Additionally, a phenotypic comparison of IgG-SCs presented in the spleen during immunization or after recall revealed similarities but also significant differences. The developed approach introduced a novel (to our knowledge), quantitative, and functional highly resolved alternative to study the quality of immunizations.
Start page
1176
End page
1184
Volume
205
Issue
4
Language
English
OCDE Knowledge area
Inmunología Ciencias médicas, Ciencias de la salud
Scopus EID
2-s2.0-85087952008
PubMed ID
Source
Journal of Immunology
ISSN of the container
00221767
Sponsor(s)
This work was supported by funding from the The Branco Weiss Fellowship – Society in Science and funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program (Grant 80336) to K.E. This work has also received support from the Institut Pierre-Gilles de Gennes through Laboratoire d’Excellence, Investissements d’Avenir Programs ANR-10-IDEX-0001-02 PSL, ANR-10-EQPX-34, and ANR-10-LABX-31, and the ERC–Seventh Framework Program (ERC-2013-CoG 616050 to P.B.). C.C. acknowledges financial support from Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica, Peru.
Sources of information: Directorio de Producción Científica Scopus