Evidence map›Paper›PMID 29194460›Full record

ArticlePloS one2017

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.

Vishal Koparde, Badar Abdul Razzaq, Tara Suntum, Roy Sabo, Allison Scalora, Myrna Serrano, Max Jameson-Lee, Charles Hall, David Kobulnicky, Nihar Sheth and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Review
  9. 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
  10. Article
  11. Article
  12. Frontiers in immunology · 2018
    Article
  13. Review
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

19 authors at 2 institutions in 1 country.

Vishal KopardeCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Badar Abdul RazzaqBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Tara SuntumBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Roy SaboDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Allison ScaloraBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Myrna SerranoCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Max Jameson-LeeBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Charles HallBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
David KobulnickyBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Nihar ShethCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Juliana FeltzCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Daniel ContaiferSchool of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Dayanjan WijesingheSchool of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Jason ReedDepartment of Physics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Catherine RobertsBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Rehan QayyumSection of Hospital Medicine, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Gregory BuckCenter for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Michael NealeDepartments of Psychiatry and Human & Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, United States of America.
Amir ToorBone Marrow Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, United States of America.ORCID http://orcid.org/0000-0001-5317-8433
Virginia Commonwealth University · USVirginia Commonwealth University Medical Center · US

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Keri R Maher · 1985 to 2026
$51.0M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
NCI NIH HHS P30 CA016059NCI NIH HHS R01 CA185189
6 · The paper itself

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.

Indexed as

Cell TransplantationExome SequencingModels, TheoreticalStem Cell TransplantationHumansPeptidesT-LymphocytesPeptides

Identifiers

PMID29194460
PMCPMC5711034
OpenAlexW2949553672

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.