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The Effects of Cardiolipin on Vascular Smooth Muscle Cell Dedifferentiation and Migration

2019· article· en· W3176728602 on OpenAlexaffabout
Deema Galambo, Andreas Bergdahl

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsConcordia University
Fundersnot available
KeywordsCalponinNeointimaCardiolipinCell migrationActinChemistryCell biologyVascular smooth muscleCellDesminPhospholipidInternal medicineSmooth muscleEndocrinologyMolecular biologyBiologyBiochemistryMedicineImmunohistochemistry

Abstract

fetched live from OpenAlex

PURPOSE The initial phases of atherosclerosis involve the transition of smooth muscle cells (SMCs) to a synthetic, dedifferentiated phenotype, which is associated with alterations in receptor, ion channel and contractile filament composition. The late, irreversible atherosclerosis stages are characterized by SMC migration and subsequent formation of a ‘neointima.’ This leads to blood flow obstruction which, when destined to the cardiomyocytes, induces hypoxic conditions and myocardial infarction. Apoptotic cardiomyocytes release a phospholipid called cardiolipin (CL) into the systemic circulation. Previously, we have shown that physiological concentrations of CL inhibit endothelial cell migration. The objective of this project was to investigate the impact of CL on SMCs, specifically addressing cellular dedifferentiation and migration . METHODS For this study, we used adult, male C57Bl/6 mice. Aortas from these mice were extracted and incubated in Dulbecco's modification of Eagle medium containing physiological CL concentrations (1 μM and 10 μM) at 37°C for 48 hours. We subsequently quantified contractile proteins (such as smooth muscle α‐actin and calponin) using immunoblotting to determine whether CL affects SMC dedifferentiation. These concentrations were also used to investigate the migration of SMCs using a migration assay. For this, we mimicked wounds by scraping off the cell culture plates' diameters to create cell‐free gaps. The plates were then incubated at 37°C for six days, during which the width of the gaps was measured every 48 hours under a light microscope. RESULTS The immunoblotting results demonstrated a significant drop in calponin in a dose‐dependent manner with increasing CL concentrations, while the other de/differentiation markers remained unchanged. The migration assay revealed that the gap width was significantly narrower in control plates compared to CL‐treated plates. CONCLUSIONS Our results suggest that the effect of physiological concentrations of CL on SMCs is calponin‐specific and does not initiate dedifferentiation within 48 hours. The significantly wider gaps observed in the CL‐treated plates compared to the control plates indicate the potent effect CL has on inhibiting SMC migration. Since SMC migration is considered the key step in the atherogenic progression, our migration assay data suggest that, in a physiological context, CL has the potential to arrest the progression of the disease into its irreversible stages. Thus, we hypothesize the potential involvement of CL in developing anti‐atherosclerosis therapeutics. Support or Funding Information Canadian Institute of Health Research (CIHR) This abstract is from the Experimental Biology 2019 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 score0.002

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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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
Published2019
Admission routes2
Has abstractyes

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