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Record W4389243779 · doi:10.1182/blood-2023-190975

Interleukin-17A Directly Signals to Bone Marrow-Derived Hematopoietic Stem and Progenitor Cells to Promote Their Expansion and Differentiation in Vitro

2023· article· en· W4389243779 on OpenAlexaff
Cristobal González Losada, William Wai Lam Poon, Matthew Salaciak, Samy Amghar, Nathalie A. Johnson, Bahram Sharif-Askari, François Mercier

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsHaematopoiesisProgenitor cellBone marrowBiologyClonogenic assayImmunologyStem cellCell biologyStromal cellCD34Cancer researchCell

Abstract

fetched live from OpenAlex

Rationale: IL-17 is a family of six pro-inflammatory cytokines (named from A to F) with distinct patterns of cellular expression. Among these, IL-17A is secreted by lymphoid subsets such as T-helper 17 cells and innate lymphoid cells type 3. Through its action on many tissues, IL-17A is recognized as a key mediator of response to infection and pathogenic states such as cancer and auto-immunity. Until now, the main effect of IL-17A on hematopoiesis has been attributed to an indirect loop through IL-17RA signaling on bone marrow stromal cells, which stimulates secretion of hematopoietic factors such as G-CSF. However, we hypothesized that IL-17A can directly signal to hematopoietic stem and progenitor cells (HSPCs) to determine their self-renewal and differentiation. Methodology: We analyzed the expression of the IL-17 signaling pathway in publicly available human and mouse hematopoietic single-cell RNAseq datasets. Mouse HSPCs were isolated using FACS to perform clonogenic and differentiation assays in Methocult (StemCell Technologies) and StemPro-34 (Gibco). Spectral flow cytometry (SONY ID7000) was used for analysing IL-17RA expression and differentiation of mouse HSPCs. IL-17A levels were measured in blood and bone marrow serum using ELISA (Invitrogen). Results: IL-17RA is expressed at the surface of mouse HSPCs, with greatest levels in common lymphoid progenitors and granulocyte-monocyte progenitors. mRNA expression of IL-17RA signaling pathway is also detectable in human HSPCs, with greatest levels in young individuals. IL-17A supplementation leads to an increase in clonogenic capacity of mouse HSPCs in methylcellulose colony-formation assays. In liquid culture, supplementation with IL-17A leads to a greater expansion of sorted Lin -/s-kit +/Sca-1 + progenitors, accompanied by an increased proportion of myeloid-committed cells.IL-17A is also detected in the bone marrow serum, with possible production from subsets of cells expressing RORγt, a master regulator in development of T helper 17 (Th17) cells. Conclusions: Our work suggests the ability of IL-17A to directly promote clonogenic potential of HSPCs and drive a myeloid-biased lineage commitment in progenitor subsets. Additional studies are required to characterize the response of HSPCs to direct IL-17A signaling in vivo. Considering the important role of IL-17A as a mediator of immune response, and tissue repair, further studies are warranted to elucidate whether modulation of this pathway may be therapeutic in the context of hematopoietic failure or malignancy.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.014
GPT teacher head0.216
Teacher spread0.202 · 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

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