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Record W2810385479 · doi:10.4236/fns.2018.96056

<i>Spirulina platensis</i> Alleviates the Liver, Brain and Heart Oxidative Stress in Type 1 Diabetic Rats

2018· article· en· W2810385479 on OpenAlexaff
Francisca Adilfa de Oliveira Garcia, Violet G. Yuen, Helioswilton Sales‐Campos, Eveline Turatti, Glauce Socorro de Barros Viana, Carlo José Freire Oliveira, John H. McNeill

Bibliographic record

VenueFood and Nutrition Sciences · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsUniversity of British Columbia
FundersCiência sem FronteirasConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsOxidative stressLipid peroxidationStreptozotocinSpirulina (dietary supplement)AntioxidantChemistryReactive oxygen speciesEndocrinologyDiabetes mellitusInternal medicinePharmacologyNitriteMedicineBiochemistry

Abstract

fetched live from OpenAlex

Spirulina platensis (SPI) is a microalga with a high content of functional compounds, such as phenolics, phycocyanins and polysaccharides that has been shown to have antioxidant, anti-inflammatory, hypoglycemic, neuro-protective and immunomodulatory effects. The objectives of the present work were to study the possible effects of SPI treatment on the glycemic-lipid profile, oxidative stress, lipid peroxidation and cardiac performance in diabetic rats. Diabetes was induced by streptozotocin (STZ) in male Wistar rats. In diabetic animals SPI, at a dose of 50 mg/kg/day, reduced lipid peroxidation, nitrite levels and lipids in plasma and tissues. SPI exhibited an effective improvement on +dP/dT and −dP/dT in non-diabetic rats. This study showed that SPI significantly suppressed nitrite generation and lipoperoxidation in the hearts of diabetic animals, as well as an improvement in the cardiac function in control SPI-treated rats which is consistent with several studies that demonstrated the protective effect of antioxidants on oxidative stress-mediated injury caused by reactive oxygen species (ROS) produced in diabetic myocardial tissues.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.698
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.051
GPT teacher head0.333
Teacher spread0.282 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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