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Role of MMP‐2 activation in oncostatin‐M induced cardiomyocyte dedifferentiation

2013· article· en· W3176088106 on OpenAlexaffabout
Frank Fan, Mohammad Ali, Bryan Hughes, Richard Schulz

Bibliographic record

VenueThe FASEB Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSarcomereTitinCell biologyMatrix metalloproteinaseMyofibrilOncostatin MTroponinChemistryTroponin complexTroponin IMyocyteBiologyInternal medicineMedicineBiochemistryInflammationInterleukin 6

Abstract

fetched live from OpenAlex

Despite the dogma that adult mammalian cardiomyocyte is terminally differentiated, these cells have a discrete regenerative capacity in both acutely and chronically injured human hearts. Dedifferentiation of cardiomyocytes is an important source of cardiac progenitor cells facilitating cardiac repair. Oncostatin‐M (OSM) can induce cardiomyocyte dedifferentiation characterized by sarcomere degeneration. However, the detailed mechanism regarding the downstream execution of sarcomere degeneration remains unclear. Matrix metalloproteinase‐2 (MMP‐2) is an important intracellular protease known to cleave multiple sarcomeric proteins including α‐actinin, troponin‐I and titin. We studied the dynamics of sarcomere degeneration upon stimulation of neonatal rat ventricular cardomyocytes (NRVM) with OSM. As early as 48 hr after OSM (50ng/ml) treatment, changes in sarcomeric structure were observed. Z‐bands stained for α‐actinin were degenerated towards Z‐bodies and M lines stained for titin also showed a similar pattern. The beating rate of NRVM significantly decreased, consistent with the observed sarcomere degeneration. Western blots and gelatin zymography analysis show increased MMP‐2 activity and loss of α‐actinin and troponin I following OSM treatment. These results suggest the possible involvement of MMP‐2 in cardiomyocyte dedifferentiation stimulated by OSM. Funding: Canadian Institutes of Health Research

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.161

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.018
GPT teacher head0.256
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 teacher head, 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
Published2013
Admission routes2
Has abstractyes

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