MétaCan
Menu
← Back to cohort
Record W4389247352 · doi:10.1182/blood-2023-172873

CD56 brightCD16 -Perforin - regulatory Natural Killer Cells Associated with the Suppression of Chronic Graft-Versus-Host Disease Prevent CD4 + T Cell Proliferation through PD-1 and LAG-3 Dependent Pathways

2023· article· en· W4389247352 on OpenAlexaff
Madeline Lauener, Kirk R. Schultz, Sayeh Abdossamadi, Elena Ostroumov, Megan K. Levings

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsPerforinInterleukin 21GranzymeBiologyImmunologyCytotoxic T cellGranzyme BPopulationCD8Cell sortingNK-92Graft-versus-host diseaseInterleukin-7 receptorT cellCell biologyStem cellImmune systemFlow cytometryIL-2 receptorMedicine

Abstract

fetched live from OpenAlex

Background: Chronic graft-versus-host disease (cGvHD) is a major cause of morbidity and mortality after Hematopoietic Stem Cell Transplantation (HSCT). Previously, in large cohorts of HSCT patients we identified increased numbers of CD56 bright, granzyme B -, perforin - NK cells (NK reg) to be associated with a lack of cGvHD development. Transcriptome analysis of HSCT patient samples identified a unique transcriptome among the CD56 bright NK reg cells which associated with patients who failed to develop cGvHD, including overexpression of genes IL7R, GPR183, and Granzyme K, and low expression of genes such as perforin, granzyme B, and CD16. We then utilized the transcriptome information and further cell phenotyping to determine the optimal sorting approach for viable NK reg cells to allow for functional analysis by the sorting of CD56 brightCD3 -CD16 - cells. Functional analysis suggested that the NK reg population suppresses CD4 + T cells through a non-cytolytic, and direct cell-cell contact-dependent mechanism, though the exact receptor and ligand interaction of which CD4 + T cell populations are impacted is unknown. We hypothesized that the NK reg cell suppressive mechanism may be more specific than the more widely studied regulatory cell population, T reg cells, by suppressing CD4 + T cell subpopulations involved in inflammatory responses. Methodology: To investigate the suppressive capacity of NK reg cells, the cells were isolated from healthy donor peripheral blood and co-cultured with allogeneic CD4 + T cells, CD8 + T cells, T reg cells, T reg cells and dendritic cells, B cells, or NK cells for 96hrs. After 96hrs, the proliferation and viability of the responder cells were evaluated via proliferation dye dilution, and 7-AAD dye, respectively. To determine if the CD4 + T cell suppression is specific to a T helper (T h) cell subset we stained the co-cultured cells with a T h1/T h2/T h17 Phenotyping Kit. Further, PD-1 and LAG-3 neutralizing antibodies were added to the NK reg/CD4 + T cell co-culture to determine the receptor dependence. All samples were acquired with the BD FACSymphony Flow Cytometer and the data was analyzed via Kaluza software. Results: CD56 brightCD16 -perforin - NK regcellsstrongly suppress CD4 + T cell proliferation (approximately 96% suppression of CD4 + T cell proliferation at the 1:1 ratio of NK reg cells to CD4 + T cells). The contact-dependent mechanism of NK reg suppression of CD4 + T cell proliferation was significantly decreased when blocking either the PD-1 (15% decrease in suppression, p=0.03), or LAG-3 (29% decrease in suppression, p=0.04) receptors, at the 1:2 ratio of NK reg cells to CD4 + T cells. When both receptors are blocked the inhibition of suppressive effect is comparable to that of the LAG-3 blocking antibody being added individually (30% decrease in suppression, p=0.03). The suppressive mechanism of NK reg cells was observed to be selective in that they strongly suppress CD4 + T cell proliferation, but do not result in statistically significant suppression of CD8 + T cell, T reg cell, B cell, NK cell, or a specific T h cell subset proliferation (p>0.05). Further, though the average proliferation of the T reg cells co-cultured with NK reg cells and dendritic cells compared to just NK reg cells was greater (127% proliferation compared to 100% proliferation, respectively), we did not observe NK reg cells to induce a statistically significant proliferative effect towards the T reg cells in the presence of dendritic cells. Conclusion: As a result of our studies, we have confirmed the NK reg cell immune suppressive function towards CD4 + T cell proliferation, a main contributor to cGvHD development. Further, we demonstrated a PD-1/LAG-3-dependent direct contact mechanism of NK reg cell suppression, which is selective of total CD4 + T cells, with a lack of suppressive effect towards CD8 + T cells, T reg cells, B cells, and NK cells. The results of these studies contribute to our better understanding of how NK reg cells may induce a cell-specific suppressive function to promote immune tolerance, providing potential cell therapeutic applications for enhancing NK reg cell suppressive function through increasing PD-1/LAG-3 ligand or receptor expression on NK reg cells.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.204
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicImmune Cell Function and Interaction→French-language works237,207→