Evidence map›Paper›PMID 31935280›Full record

ArticleBlood2020

High-parametric evaluation of human invariant natural killer T cells to delineate heterogeneity in allo- and autoimmunity.

Tom Erkers, Bryan J Xie, Laura J Kenyon, Brian Smith, Mary Rieck, Kent P Jensen, Xuhuai Ji, Marina Basina, Samuel Strober, Robert S Negrin and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Graft-versus-Host Disease Modulation by Innate T Cells.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

12 authors at 5 institutions in 2 countries.

Tom ErkersDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Bryan J XieDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Laura J KenyonDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Brian SmithDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Mary RieckBeckman Center for Molecular and Genetic Medicine.
Kent P JensenDivision of Immunology and Rheumatology.
Xuhuai JiHuman Immune Monitoring Center.
Marina BasinaDivision of Cardiovascular Medicine, and.
Samuel StroberDivision of Immunology and Rheumatology.
Robert S NegrinDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Holden T MaeckerHuman Immune Monitoring Center.
Everett H MeyerDivision of Blood and Marrow Transplantation, Stanford University School of Medicine, Stanford, CA.
Stanford University · USCenter for Rheumatology · USDiabetes Research CenterParker Institute for Cancer Immunotherapy · USScience for Life Laboratory · SE

Funding

TUMOR SPECIFIC CYTOTOXIC T-LYMPHOCYTES IN BONE MARROW TRANSPLANTATIONP01CA049605 · NCI · STANFORD UNIVERSITY · PI Robert S Negrin · 1989 to 2026
$73.3M
Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
TLI/ATG CONDTIONING: KIDNEY/BLOOD STEM CELL TRANSPLANTSP01HL075462 · NHLBI · STANFORD UNIVERSITY · PI ENGLEMAN, EDGAR G. · 2004 to 2020
$27.9M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
T-cell monitoring and immunotherapy for treating graft-versus-host diseaseK08HL119590 · NHLBI · STANFORD UNIVERSITY · PI MEYER, EVERETT · 2014 to 2018
$767k
High Throughput DNA Sequencer UpgradeS10OD018220 · OD · STANFORD UNIVERSITY · PI COLLER, JOHN · 2014 to 2014
$596k
NCI NIH HHS P01 CA049605NHLBI NIH HHS K08 HL119590NHLBI NIH HHS P01 HL075462NIAID NIH HHS T32 AI007290NIDDK NIH HHS P30 DK116074NIH HHS S10 OD018220
6 · The paper itself

Abstract

Human invariant natural killer T (iNKT) cells are a rare innate-like lymphocyte population that recognizes glycolipids presented on CD1d. Studies in mice have shown that these cells are heterogeneous and are capable of enacting diverse functions, and the composition of iNKT cell subsets can alter disease outcomes. In contrast, far less is known about how heterogeneity in human iNKT cells relates to disease. To address this, we used a high-dimensional, data-driven approach to devise a framework for parsing human iNKT heterogeneity. Our data revealed novel and previously described iNKT cell phenotypes with distinct functions. In particular, we found 2 phenotypes of interest: (1) a population with T helper 1 function that was increased with iNKT activation characterized by HLA-II+CD161- expression, and (2) a population with enhanced cytotoxic function characterized by CD4-CD94+ expression. These populations correlate with acute graft-versus-host disease after allogeneic hematopoietic stem cell transplantation and with new onset type 1 diabetes, respectively. Our study identifies human iNKT cell phenotypes associated with human disease that could aid in the development of biomarkers or therapeutics targeting iNKT cells.

Indexed as

AutoimmunityBiomarkersImmunomodulationComputational BiologyCytotoxicity, ImmunologicDiabetes Mellitus, Type 1Disease SusceptibilityGene Expression ProfilingGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansImmunophenotypingLymphocyte ActivationNatural Killer T-CellsBiomarkers

Identifiers

PMID31935280
PMCPMC7068034
OpenAlexW2999882761

What OpenQuestion holds

Textmetadata
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.