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Characterization of CD4 T Cell Epitopes of Infliximab and Rituximab Identified from Healthy Donors

Overview of attention for article published in Frontiers in immunology, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Characterization of CD4 T Cell Epitopes of Infliximab and Rituximab Identified from Healthy Donors
Published in
Frontiers in immunology, May 2017
DOI 10.3389/fimmu.2017.00500
Pubmed ID
Authors

Moustafa Hamze, Sylvain Meunier, Anette Karle, Abdelaziz Gdoura, Amélie Goudet, Natacha Szely, Marc Pallardy, Franck Carbonnel, Sebastian Spindeldreher, Xavier Mariette, Corinne Miceli-Richard, Bernard Maillère

Abstract

The chimeric antibodies anti-CD20 rituximab (Rtx) and anti-TNFα infliximab (Ifx) induce antidrug antibodies (ADAs) in many patients with inflammatory diseases. Because of the key role of CD4 T lymphocytes in the initiation of antibody responses, we localized the CD4 T cell epitopes of Rtx and Ifx. With the perspective to anticipate immunogenicity of therapeutic antibodies, identification of the CD4 T cell epitopes was performed using cells collected in healthy donors. Nine T cell epitopes were identified in the variable chains of both antibodies by deriving CD4 T cell lines raised against either Rtx or Ifx. The T cell epitopes often exhibited a good affinity for human leukocyte antigen (HLA)-DR molecules and were part of the peptides identified by MHC-associated peptide proteomics assay from HLA-DR molecules of dendritic cells (DCs) loaded with the antibodies. Two-third of the T cell epitopes identified from the healthy donors stimulated peripheral blood mononuclear cells from patients having developed ADAs against Rtx or Ifx and promoted the secretion of a diversity of cytokines. These data emphasize the predictive value of evaluating the T cell repertoire of healthy donors and the composition of peptides bound to HLA-DR of DCs to anticipate and prevent immunogenicity of therapeutic antibodies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 29%
Student > Ph. D. Student 9 14%
Student > Bachelor 4 6%
Librarian 3 5%
Student > Doctoral Student 2 3%
Other 7 11%
Unknown 21 32%
Readers by discipline Count As %
Immunology and Microbiology 12 18%
Agricultural and Biological Sciences 9 14%
Biochemistry, Genetics and Molecular Biology 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 8%
Medicine and Dentistry 5 8%
Other 7 11%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 May 2017.
All research outputs
#7,994,598
of 25,461,852 outputs
Outputs from Frontiers in immunology
#9,599
of 31,698 outputs
Outputs of similar age
#117,173
of 325,155 outputs
Outputs of similar age from Frontiers in immunology
#186
of 411 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 31,698 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,155 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 411 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.