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Integrin alpha 11 is cardioprotective post myocardial infarction, regulating infarct formation and collagen organization

2023· article· en· W4388600524 on OpenAlexafffund
Peter Meagher, X Lee, J. Desjardins, Christopher A. McCulloch, Kim A. Connelly

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineCardiac fibrosisFibrosisCardiac function curveVentricleMyocardial infarctionType I collagenInternal medicineCardiologySirius RedCollagen receptorMyocardial fibrosisPathologyHeart failureIntegrin

Abstract

fetched live from OpenAlex

Abstract Background Post Myocardial Infarction (MI), fibrosis and in particular collagen production is an important response in order to replace apoptotic cells within the injured area and stabilize the heart wall1. Cardiac fibroblasts in and around the infarct region under mechanical and biochemical stress transform into myofibroblasts, secreting collagen to help stabilize the infarct segment2. In the short term this is an appropriate response to avoid rupture and death3. However, Long term collagen deposition will increase ventricular stiffness reducing compliance leading to further cardiac dysfunction and heart failure4. Mechanical activation of collagen production and fibrosis is understood to be a significant mediator of cardiac fibrosis, yet the mechanisms controlling mechanical activation of fibrosis are not well understood5,6. Purpose Here, we sort to investigate the role of Integrin α11 in cardiac remodelling post MI, a collagen binding integrin which preferentially binds to type I collagen and, is significantly upregulated post MI4,7. Methods Fibroblast Conditional α11 knockout (KO) and Wildtype Littermates (WT) underwent either SHAM or left anterior descending aorta (LAD) ligation surgery. Cardiac function was assessed with echocardiography and pressure volume loops. Ventricle samples were processed for FFPE histological/immunohistochemical analysis with hematoxylin/eosin, Collagen I & III antibodies. Finally, Second Harmonic generation microscopy was undertaken to identify collagen organisation with previously validated CurveAlign and CT-Fire algorithms. Results α11KO and WT mice demonstrated similar cardiac function. There was evidence of basal structural differences as Collagen I (P<0.05) and III (P<0.0001) deposition was reduced along with cardiac myocyte size (P<0.0001) in α11KO mice. In response to LAD ligation α11KO mice had significantly worse mortality (∼57% v’s ∼22%, P<0.05) which, correlated with an increased MI size (WT=∼39%, α11KO=∼64% P<0.05). Cardiac function 2 days following ligation measured by echo demonstrated that Fractional Area Change (FAC) (23%±2 v’s 16%±2 P<0.05) and Cardiac Output (8.5ml±1 v’s 5ml±0.7, P<0.05) were significantly worse in α11 KO compared to WT mice. The reduced function persisted 4 weeks post ligation as FAC was significantly worse in α11KO mice (∼9%±2%, P<0.0001) compared to WT (∼19%±1%). Moreover, α11KO mice that survived MI had significantly more collagen I (P<0.0001) content in the remote, peri-infarct and infarct zone’s than that of WT along with a lack of hypertrophic response. Finally, Collagen alignment measured using SHG images with CurveAlign demonstrated collagen fibres had significantly less structural alignment in α11KO mice (P<0.05). Conclusion We demonstrate a cardioprotective role for Integrin α11 post myocardial infarction. Where, the lack of α11 leads to worsened mortality, larger MI, worsened cardiac function and impaired collagen organisation in the infarct post MI.

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 score0.007

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)0.0020.001

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 head0.022
GPT teacher head0.264
Teacher spread0.242 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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