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Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry
Published on: April 19, 2017
A proposed algorithm predictive for cytotoxic T cell alloreactivity.
Monique M Jöris1, Jon J van Rood, Dave L Roelen
1Europdonor Foundation, Leiden 2333 BZ, The Netherlands. joris@europdonor.nl
Journal of Immunology (Baltimore, Md. : 1950)
|January 21, 2012
Summary
The location and properties of amino acid differences in HLA class I mismatches significantly impact T cell alloreactivity. A new weighted mismatch score algorithm can predict negative outcomes in hematopoietic stem cell transplantation donor selection.
Area of Science:
- Immunology
- Transplantation Immunology
- Computational Biology
Background:
- Previous research indicated a decrease in T cell alloreactivity with more amino acid differences in HLA class I mismatches.
- The impact of individual amino acid differences on T cell alloreactivity was not fully understood, prompting investigation into positional and physicochemical effects.
Purpose of the Study:
- To investigate the influence of specific amino acid positions and physicochemical properties on T cell alloreactivity in single HLA class I mismatches.
- To develop a predictive algorithm for T cell alloreactivity in hematopoietic stem cell transplantation donor selection.
Main Methods:
- Analysis of 131 patient/donor pairs with single HLA-A or -C mismatches, compatible for HLA-B, -DRB1, and -DQB1.
- Determination of alloreactive cytotoxic T lymphocyte precursor (CTLp) frequency and association with amino acid differences in HLA class I mismatches.
- Bivariate and multivariate analyses to identify critical amino acid positions and properties influencing CTLp outcome.
Main Results:
- Amino acid differences in alpha helices affected CTLp outcome regardless of physicochemical compatibility, while beta sheet differences only impacted it if physicochemical properties were incompatible.
- Specific positions (62, 63, 73, 80, 116, 138, 144, 163) were highly predictive of negative CTLp outcomes.
- A weighted predictive mismatch score was developed, estimating up to a 13-fold increased likelihood of negative CTLp in high-scoring pairs.
Conclusions:
- The position and physicochemical properties of amino acid differences are crucial determinants of T cell alloreactivity in HLA class I mismatches.
- The developed weighted mismatch score algorithm shows promise as a tool for optimizing donor selection in hematopoietic stem cell transplantation.
- This approach may improve transplant outcomes by better predicting and mitigating T cell-mediated rejection.
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