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Mesenchymal Stromal Cell Microparticles Enhance Lung Endothelial Barrier Through CD44 and the S1P/ceramide Rheostat

2018· article· en· W3176209069 on OpenAlexaffabout
Mazharul Maishan, Mark J. McVey, Warren L. Lee, Gerard F. Curley, Wolfgang M. Kuebler

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMesenchymal stem cellBarrier functionMatrigelAcid sphingomyelinaseSphingosine-1-phosphateEndothelial stem cellCancer researchChemistryCell biologyMedicinePharmacologySphingomyelinAngiogenesisSphingosineBiologyBiochemistryMembraneIn vitro

Abstract

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Introduction Acute respiratory distress syndrome (ARDS) is a fatal condition characterized by hyperinflammation and pulmonary microvascular leak. Treatment is only supportive with no pharmacological cure. Recently, mesenchymal stromal/stem cells (MSCs) have emerged as potential therapy, but greater knowledge on their mechanism(s) of action could yield development of cell‐free therapeutics. Objective To determine if MSC‐produced microparticles (MPs) ameliorate endothelial barrier disruption and identify their biomolecular contents responsible for such therapeutic effect. Methods To re‐capitulate lung capillary leak in ARDS, primary human pulmonary microvascular endothelial cell (HPMEC) monolayers grown on Transwell inserts were injured with thrombin to induce barrier disruption as measured by transendothelial electrical resistance (TEER). MPs were purified out of conditioned medium produced by MSCs either stimulated with Ca 2+ ionophore or unstimulated. MPs were administered to treat thrombin‐injured HPMEC monolayers; surface markers were compared by flow cytometry and lipid content analyzed by HPLC‐MS. Results MPs from unstimulated MSCs enhanced HPMEC barrier function and TEER recovery after thrombin injury, while MPs from stimulated MSCs were injurious. Stimulated MSCs produced MPs with significantly less surface CD44. Antibody blockade of CD44 on unstimulated MPs eliminated their therapeutic effect on HPMEC monolayers. Moreover, stimulated MPs had significantly more total ceramides and less sphingosine‐1‐phosphate (S1P) than unstimulated MPs. Ceramide degradation by neutral ceramidase blunted the injurious effect of stimulated MPs. The therapeutic function of unstimulated MPs was eliminated with ceramide over‐production by acid sphingomyelinase or S1P degradation by S1P lyase. Conclusion These results show MSC‐produced MPs were therapeutic after lung capillary endothelial barrier disruption. Beneficial effects were associated with surface CD44 and greater ratio of S1P:ceramide content. This knowledge provides a mechanistic basis for development of MSC‐based cell‐free therapeutics. Support or Funding Information This work was supported by Ontario Research Fund and Canadian Institutes of Health Research. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.005
GPT teacher head0.244
Teacher spread0.238 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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