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Record W2313589960 · doi:10.18632/oncotarget.8623

Human mesenchymal stromal cell-secreted lactate induces M2-macrophage differentiation by metabolic reprogramming

2016· article· en· W2313589960 on OpenAlexafffundabout
Silvia Selleri, Panojot Bifsha, Sara Civini, Consiglia Pacelli, Mame Massar Dieng, William Lemieux, Ping Jin, Renée Bazin, Natacha Patey, Francesco M. Marincola, Florina Moldovan, Charlotte Zaouter, Louis‐Éric Trudeau, Basma Benabdhalla, Isabelle Louis, Christian Beauséjour, David F. Stroncek, Françoise Le Deist, Élie Haddad

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineHéma-QuébecUniversité de Montréal
FundersNational Institute of Allergy and Infectious DiseasesFonds de Recherche du Québec - SantéCHU Sainte-Justine Foundation
KeywordsMesenchymal stem cellMonocyteCell biologyStromal cellImmune systemLactate dehydrogenaseInflammationBiologyDendritic cellChemistryCancer researchImmunologyBiochemistry

Abstract

fetched live from OpenAlex

// Silvia Selleri 1,2,* , Panojot Bifsha 1,2,* , Sara Civini 3 , Consiglia Pacelli 4 , Mame Massar Dieng 1,5 , William Lemieux 1,2 , Ping Jin 3 , Renée Bazin 6 , Natacha Patey 7 , Francesco M. Marincola 3,8 , Florina Moldovan 1,9 , Charlotte Zaouter 1 , Louis-Eric Trudeau 4 , Basma Benabdhalla 1 , Isabelle Louis 1,10 , Christian Beauséjour 1,4 , David Stroncek 3 , Françoise Le Deist 1,2,10 and Elie Haddad 1,2,10 1 CHU Sainte-Justine Research Center, Montreal, QC, Canada 2 Department of Microbiology, Infectiology and Immunology, University of Montreal, Montreal, QC, Canada 3 Department of Transfusion Medicine, Clinical Center, NIH, Bethesda, MD, USA 4 Department of Pharmacology, University of Montreal, Montreal, QC, Canada 5 Department of Biology, New York University, Abu Dhabi, United Arab Emirates 6 Department of Research and Development, Héma-Québec, Québec, QC, Canada 7 Department of Pathology, University of Montreal, Montreal, QC, Canada 8 Sidra Medical and Research Center, Doha, Qatar 9 Faculty of Dentistry, University of Montreal, Montreal, QC, Canada 10 Department of Pediatrics, University of Montreal, Montreal, QC, Canada * These authors have contributed equally to this work Correspondence to: Elie Haddad, email: // Keywords : mesenchymal stromal cells, dendritic cell differentiation, M2-macrophages, lactate, metabolism, Immunology and Microbiology Section, Immune response, Immunity Received : August 10, 2015 Accepted : March 26, 2016 Published : April 06, 2016 Abstract Human mesenchymal stromal cells (MSC) have been shown to dampen immune response and promote tissue repair, but the underlying mechanisms are still under investigation. Herein, we demonstrate that umbilical cord-derived MSC (UC-MSC) alter the phenotype and function of monocyte-derived dendritic cells (DC) through lactate-mediated metabolic reprogramming. UC-MSC can secrete large quantities of lactate and, when present during monocyte-to-DC differentiation, induce instead the acquisition of M2-macrophage features in terms of morphology, surface markers, migratory properties and antigen presentation capacity. Microarray expression profiling indicates that UC-MSC modify the expression of metabolic-related genes and induce a M2-macrophage expression signature. Importantly, monocyte-derived DC obtained in presence of UC-MSC, polarize naïve allogeneic CD4 + T-cells into Th2 cells. Treatment of UC-MSC with an inhibitor of lactate dehydrogenase strongly decreases lactate concentration in culture supernatant and abrogates the effect on monocyte-to-DC differentiation. Metabolic analysis further revealed that UC-MSC decrease oxidative phosphorylation in differentiating monocytes while strongly increasing the spare respiratory capacity proportional to the amount of secreted lactate. Because both MSC and monocytes are recruited in vivo at the site of tissue damage and inflammation, we propose the local increase of lactate concentration induced by UC-MSC and the consequent enrichment in M2-macrophage generation as a mechanism to achieve immunomodulation.

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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

Citations177
Published2016
Admission routes3
Has abstractyes

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