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Record W7029290213

Is flaxseed equivalent and/or synergistic with ACE inhibition in the treatment of chemotherapy induced cardiotoxicity?

2023· dissertation· en· W7029290213 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides and Plant Cell Walls
Canadian institutionsnot available
Fundersnot available
KeywordsEjection fractionChemotherapyCardiotoxicityBreast cancerTrastuzumabPerindoprilIn vivoDoxorubicinHeart failure
DOInot available

Abstract

fetched live from OpenAlex

Background: Breast cancer is a major public health concern in Canada. Although the current combination of surgery, radiation, and chemotherapy may lead to a cure in the breast cancer setting, the administration of the anti-cancer drugs Doxorubicin and Trastuzumab (DOX+TRZ) is associated with an increased risk of developing heart failure. Little is known about whether flaxseed (FLX) is equivalent to, or synergistic with, angiotensin converting enzyme inhibition (ACEi) in the treatment of DOX+TRZ mediated cardiotoxicity. Objective: The specific aim is to evaluate whether FLX is comparable and/or incremental to standard pharmacological therapy using the ACEi Perindopril (PER) in the treatment of DOX+TRZ mediated cardiotoxicity. Methods: In a chronic in vivo murine model of chemotherapy mediated cardiotoxicity, DOX+TRZ (8mg/kg and 3mg/kg, respectively) were administered weekly for a total of 3 weeks. Following this regimen, the mice were randomized to daily consumption of a 10% FLX supplemented diet, administration of PER (3mg/kg) via oral gavage, or a combination of both FLX+PER for an additional 3 weeks. Serial echocardiography was performed weekly. At the end of week 6, the mice were euthanized, and histological and biochemical analyses were performed on cardiac tissue and plasma. Results: In mice treated with DOX+TRZ, the left ventricular ejection fraction (LVEF) decreased from 74±4% at baseline to 39±5% at week 6. Treatment with either FLX, PER, or FLX+PER improved LVEF to 63±4%, 64±3%, and 65±4%, respectively (p<0.05). Histological analyses confirmed significant disruption of myofibrils, vacuolization, and loss of sarcomere integrity in the DOX+TRZ treated mice. Treatment with FLX, PER, or FLX+PER, however, improved myofibril integrity at week 6 in mice receiving DOX+TRZ. Although Bcl-2 interacting protein 3 (Bnip-3) and high mobility group box 1 protein (HMGB1) expression were significantly elevated in mice receiving DOX+TRZ, these markers of mitochondrial damage and cell death were attenuated by treatment with either FLX, PER, or FLX+PER. Finally, oxylipin analysis showed that 18-hydroxy-eicosatetraenoic acid (18-HETE) and 20-carboxy-arachidonic acid (20-COOH-AA) concentrations were significantly elevated in mice receiving DOX+TRZ; increases in concentrations of these oxylipins were attenuated by treatment with either FLX, PER, or FLX+PER. Conclusion: In a chronic in vivo murine model of DOX+TRZ induced cardiotoxicity, FLX was equivalent to PER at improving cardiovascular remodeling, reducing histopathological changes in cardiomyocyte ultrastructure, and reducing biomarkers of inflammation, mitochondrial damage, and cell death in the treatment of cardiotoxicity, but the combination of FLX+PER was not synergistic.

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)0.001
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
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.217
Teacher spread0.187 · 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
Published2023
Admission routes1
Has abstractyes

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