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Heart Regeneration in the Leopard Gecko ( <i>Eublepharis macularius</i> ): a Comparison of Spontaneous Repair and Regrowth Following Two Different Injury Models

2021· article· en· W3172963848 on OpenAlexafffund
Kathy Jacyniak, Matthew K. Vickaryous

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRegeneration (biology)BiologyVentricleMyocyteAnatomyZebrafishPathologyCell biologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Across vertebrates, non‐lethal injuries to the heart are resolved in one of two ways: scar formation or regeneration. Injury to the mammalian heart results in the permanent loss of contractile muscle cells (cardiomyocytes) and formation of a non‐contractile fibrous scar. In contrast, species such as zebrafish and salamander are capable regenerating damaged or lost cardiomyocytes, thus restoring heart function. Previous work has shown that the cellular processes involved in heart regeneration, such as cell death and proliferation, appear to be conserved across teleost fish and salamanders. Whether similar the cellular processes are involved in heart regeneration in reptiles remains largely unexplored. Here, we characterize heart regeneration in the lizard Eublepharis macularius (the leopard gecko, hereafter ‘gecko’), following two different injury models: a physical puncture (cardiocentesis) and a cryolesion. Cardiocentesis is a penetrating wound that creates a small‐scale lesion as a needle passed through the body wall into the heart ventricle. A cryolesion requires opening the body cavity to expose the heart, and then placing a pre‐cooled probe directly on the ventricle. This results in the destruction of ~30% of the ventricle. Both injury models were tolerated by geckos, and normal movement and feeding behaviours were resumed within days. To characterize the cellular events involved in heart repair, we used serial histology and immunostaining for markers of cell death (Terminal deoxynucleotidyl transferase dUTP nick end labeling) or cell proliferation (proliferating cell nuclear antigen), each with markers for cardiomyocytes (alpha‐smooth muscle actin, myosin heavy chain), and fibroblasts/endocardial cells (Vimentin). Within the first 1‐3 days, both injury models are characterized by localized cell death and a loss in cardiomyocytes at the wound site. Over the next two weeks, injured hearts no longer show evidence of cell death. Simultaneously, there is an increase in cell proliferation by populations of cardiomyocytes bordering the wound site and by non‐cardiomyocytes within the wound bed itself. Cardiocentesis injuries were resolved within 14 days, while cryoinjuries were resolved within 60 days. Ultimately, both injury models demonstrate the return of mature cardiomyocytes and the near‐perfect restoration of the original architecture of the ventricular wall. Overall, our findings reveal that the cellular responses involved in gecko heart regeneration are conserved across different injury models but the duration of repair varies with the magnitude of the injury.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.264
Teacher spread0.237 · 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
Published2021
Admission routes2
Has abstractyes

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