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Dynamical system modeling to simulate donor T cell response to whole exome sequencing-derived recipient peptides: Understanding randomness in alloreactivity incidence following stem cell transplantation.
Koparde, Vishal; Abdul Razzaq, Badar; Suntum, Tara; Sabo, Roy; Scalora, Allison; Serrano, Myrna; Jameson-Lee, Max; Hall, Charles; Kobulnicky, David; Sheth, Nihar; Feltz, Juliana; Contaifer, Daniel; Wijesinghe, Dayanjan; Reed, Jason; Roberts, Catherine; Qayyum, Rehan; Buck, Gregory; Neale, Michael; Toor, Amir.
Affiliation
  • Koparde V; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Abdul Razzaq B; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Suntum T; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Sabo R; Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Scalora A; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Serrano M; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Jameson-Lee M; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Hall C; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Kobulnicky D; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Sheth N; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Feltz J; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Contaifer D; School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Wijesinghe D; School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Reed J; Department of Physics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Roberts C; Bone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Qayyum R; Section of Hospital Medicine, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Buck G; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Neale M; Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  • Toor A; Departments of Psychiatry and Human & Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
PLoS One ; 12(12): e0187771, 2017.
Article in En | MEDLINE | ID: mdl-29194460
ABSTRACT
Quantitative relationship between the magnitude of variation in minor histocompatibility antigens (mHA) and graft versus host disease (GVHD) pathophysiology in stem cell transplant (SCT) donor-recipient pairs (DRP) is not established. In order to elucidate this relationship, whole exome sequencing (WES) was performed on 27 HLA matched related (MRD), & 50 unrelated donors (URD), to identify nonsynonymous single nucleotide polymorphisms (SNPs). An average 2,463 SNPs were identified in MRD, and 4,287 in URD DRP (p<0.01); resulting peptide antigens that may be presented on HLA class I molecules in each DRP were derived in silico (NetMHCpan ver2.0) and the tissue expression of proteins these were derived from determined (GTex). MRD DRP had an average 3,670 HLA-binding-alloreactive peptides, putative mHA (pmHA) with an IC50 of <500 nM, and URD, had 5,386 (p<0.01). To simulate an alloreactive donor cytotoxic T cell response, the array of pmHA in each patient was considered as an operator matrix modifying a hypothetical cytotoxic T cell clonal vector matrix; each responding T cell clone's proliferation was determined by the logistic equation of growth, accounting for HLA binding affinity and tissue expression of each alloreactive peptide. The resulting simulated organ-specific alloreactive T cell clonal growth revealed marked variability, with the T cell count differences spanning orders of magnitude between different DRP. Despite an estimated, uniform set of constants used in the model for all DRP, and a heterogeneously treated group of patients, higher total and organ-specific T cell counts were associated with cumulative incidence of moderate to severe GVHD in recipients. In conclusion, exome wide sequence differences and the variable alloreactive peptide binding to HLA in each DRP yields a large range of possible alloreactive donor T cell responses. Our findings also help understand the apparent randomness observed in the development of alloimmune responses.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / T-Lymphocytes / Cell Transplantation / Stem Cell Transplantation / Exome Sequencing / Models, Theoretical Type of study: Clinical_trials / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / T-Lymphocytes / Cell Transplantation / Stem Cell Transplantation / Exome Sequencing / Models, Theoretical Type of study: Clinical_trials / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: United States