Evidence map›Paper›PMID 26688192›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2016

Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides Demonstrates Different Alloreactivity Potential in HLA-Matched and -Mismatched Donor-Recipient Pairs.

Badar Abdul Razzaq, Allison Scalora, Vishal N Koparde, Jeremy Meier, Musa Mahmood, Salman Salman, Max Jameson-Lee, Myrna G Serrano, Nihar Sheth, Mark Voelkner and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Killer Immunoglobulin-Like Receptor-Ligand Interactions Predict Clinical Outcomes following Unrelated Donor Transplantations.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Article
  7. Article
  8. T Cell Repertoire Evolution after Allogeneic Bone Marrow Transplantation: An Organizational Perspective.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Article
  9. Article
  10. Article
  11. Review
  12. Review
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  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 1 institution in 1 country.

Badar Abdul RazzaqVirginia Commonwealth University School of Engineering, Virginia Commonwealth University, Richmond, VA 23298.
Allison ScaloraBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298.
Vishal N KopardeCenter for Biological Complexity, Virginia Commonwealth University, Richmond, VA 23298.
Jeremy MeierBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298.
Musa MahmoodVirginia Commonwealth University School of Engineering, Virginia Commonwealth University, Richmond, VA 23298.
Salman SalmanVirginia Commonwealth University School of Engineering, Virginia Commonwealth University, Richmond, VA 23298.
Max Jameson-LeeBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298.
Myrna G SerranoCenter for Biological Complexity, Virginia Commonwealth University, Richmond, VA 23298.
Nihar ShethCenter for Biological Complexity, Virginia Commonwealth University, Richmond, VA 23298.
Mark VoelknerDepartment of Pathology, Virginia Commonwealth University, Richmond, VA 23298.
David J KobulnickyBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298.
Catherine H RobertsBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298.
Andrea Ferreira-GonzalezDepartment of Pathology, Virginia Commonwealth University, Richmond, VA 23298.
Masoud H ManjiliDepartment of Microbiology and Immunology, Virginia Commonwealth University, Richmond, VA 23298.
Gregory A BuckCenter for Biological Complexity, Virginia Commonwealth University, Richmond, VA 23298.
Michael C NealeDepartment of Psychiatry and Statistical Genomics, Virginia Commonwealth University, Richmond, VA 23298.
Amir A ToorBone Marrow Transplant Program, Massey Cancer Center & Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA 23298. Electronic address: amir.toor@vcuhealth.org.
Virginia Commonwealth University · US

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Keri R Maher · 1985 to 2026
$51.0M
NCI NIH HHS P30 CA016059
6 · The paper itself

Abstract

Immune reconstitution kinetics and subsequent clinical outcomes in HLA-matched recipients of allogeneic stem cell transplantation (SCT) are variable and difficult to predict. Considering SCT as a dynamical system may allow sequence differences across the exomes of the transplant donors and recipients to be used to simulate an alloreactive T cell response, which may allow better clinical outcome prediction. To accomplish this, whole exome sequencing was performed on 34 HLA-matched SCT donor-recipient pairs (DRPs) and the nucleotide sequence differences translated to peptides. The binding affinity of the peptides to the relevant HLA in each DRP was determined. The resulting array of peptide-HLA binding affinity values in each patient was considered as an operator modifying a hypothetical T cell repertoire vector, in which each T cell clone proliferates in accordance with the logistic equation of growth. Using an iterating system of matrices, each simulated T cell clone's growth was calculated with the steady-state population being proportional to the magnitude of the binding affinity of the driving HLA-peptide complex. Incorporating competition between T cell clones responding to different HLA-peptide complexes reproduces a number of features of clinically observed T cell clonal repertoire in the simulated repertoire, including sigmoidal growth kinetics of individual T cell clones and overall repertoire, Power Law clonal frequency distribution, increase in repertoire complexity over time with increasing clonal diversity, and alteration of clonal dominance when a different antigen array is encountered, such as in SCT. The simulated, alloreactive T cell repertoire was markedly different in HLA-matched DRPs. The patterns were differentiated by rate of growth and steady-state magnitude of the simulated T cell repertoire and demonstrate a possible correlation with survival. In conclusion, exome wide sequence differences in DRPs may allow simulation of donor alloreactive T cell response to recipient antigens and may provide a quantitative basis for refining donor selection and titration of immunosuppression after SCT.

Indexed as

ExomeModels, GeneticStem Cell TransplantationTissue DonorsT-LymphocytesAdultAllograftsFemaleGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHLA AntigensHumansMaleMiddle AgedReceptors, Antigen, T-CellHLA AntigensReceptors, Antigen, T-CellDynamic systemGVHDHistocompatibilityHLALogistic equationOperatorsStem cell transplantationVectorsWhole exome sequencing

Identifiers

PMID26688192
PMCPMC4955725
OpenAlexW2137654247

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.