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Record W2980962270 · doi:10.1182/blood-2018-99-111917

Coordination of Pro- and Anti-Inflammatory Signals Determine Human Hematopoietic Stem and Progenitor Cell Expansion

2018· article· en· W2980962270 on OpenAlexaff
Jalila Chagraoui, Elisa Tomellini, Léo Aubert, Iman Fares, Jean-François Spinella, Simon Girard, Nadine Mayotte, Philippe P. Roux, Guy Sauvageau

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsProgenitor cellHaematopoiesisCell biologyStem cellBiologyGlucocorticoid receptorInflammationCD86ImmunologyCD34T cellGlucocorticoidImmune system

Abstract

fetched live from OpenAlex

Abstract Recently, we have identified a small molecule, UM171 that enables the expansion of human HSC with both short- and long-term repopulating capacity. Ongoing clinical trials further confirm the beneficial effects of this molecule in patients. Transcriptome analysis of cord blood-derived CD34+ cells and AML cell lines exposed to UM171 revealed unsuspected and strong inflammatory signatures pointing to simultaneous activation of pro-inflammatory (including NFKB and IFN signaling) and anti-inflammatory (including detoxification responses) programs. Moreover, characterisation of cell subsets expanded differentially in presence of UM171, showed a significant and preferential expansion of functional dendritic cell progenitors (CD34+CD86+CD45RA+) and mast cells (FCER1A+c-kit+). In line with this result, immuno-suppressors such as glucocorticoids (dexamethasone) or cAMP elevating agents (IBMX, forskolin) suppressed UM171-mediated pro-inflammatory signaling. These drugs also compromise the ability of UM171 to expand HSCs with long-term repopulating activity and generate dendritic and mast cell progenitors ex vivo. Moreover, knockdown of glucocorticoid receptor (NR3C1) reverts the antagonistic effect of glucocorticoids on UM171 inflammatory properties. Importantly, detrimental effects of glucocorticoid on HSC function was also observed in absence of UM171, thus indicating that inflammation is critical to HSC expansion, independently of the culture conditions. We also found that UM171 induces the expression of the inflammatory mediator CD86 on HSC subsets and knockdown of this receptor leads to a loss of long-term HSCs and substantial depletion of lymphoid compartment. Previously, we have shown that EPCR, a well known anti-inflammatory mediator, is induced by UM171 on CD34+ cord blood cells and defines a cell population with sustained short- and long-term repopulating activity (Fares et al., Blood 2017). We now show that disruption of EPCR function markedly skews UM171 effects towards pro-inflammatory response, thus exacerbating inflammation. Importantly, this uncontrolled inflammation impairs both immune cells generation and HSC activity suggesting that EPCR-driven anti-inflammatory signals provide a critical negative feedback constraining excessive inflammation in HSC and dendritic cell progenitors. Altogether our results strongly suggest that UM171-mediated positive regulation of HSC function occurs through a coordinated and biphasic mechanism allowing a controlled and adequate pro- and anti-inflammatory status, thus creating a permissive environment for stem and immune cell survival and expansion. Most importantly, our data indicate that integration of pro- and anti-inflammatory signals is essential for human HSC self-renewal in the presence or in the absence of UM171, thus revealing a critical balance of pro- and anti-inflammatory activities in human HSC. Disclosures Sauvageau: ExCellThera: Employment, Equity Ownership.

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 score0.005

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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
Published2018
Admission routes1
Has abstractyes

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