MétaCan
Menu
Back to cohort

Lesão renal aguda por glicerol: efeito antioxidante da Vitis Vinifera L.

2007· dissertation· pt· W4249623928 on OpenAlexaff
Elisabete Cristina de Oliveira Martim

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsMilton District Hospital
Fundersnot available
KeywordsVitis viniferaHorticultureChemistryBiology

Abstract

fetched live from OpenAlex

JUSTIFICATIVA E OBJETIVOS: A lesão renal aguda (LRA) é a complicação mais grave da rabdomiólise. Nessa síndrome, a liberação do pigmento heme desencadeia uma lesão que se caracteriza por vasoconstrição glomerular e toxicidade celular direta com provável componente oxidante. A renoproteção com antioxidantes tem demonstrado efeito satisfatório. As proantocianidinas são antioxidantes naturais encontradas no extrato da semente da uva. O objetivo deste estudo foi avaliar o efeito antioxidante da Vitis vinifera sobre a função renal de ratos submetidos à lesão induzida por rabdomiólise. MÉTODO: Foram utilizados ratos Wistar, machos e adultos pesando entre 250 e 300 g. A LRA foi induzida pela administração de glicerol 50% por via muscular. Os animais foram distribuídos em 4 grupos: grupo Salina (6 mL/kg de NaCl a 0,9%), por via intraperitoneal (dose única), Glicerol (6 mL/kg) por via muscular metade da dose em cada região femoral, em dose única, grupo Vitis vinifera (3 mg/kg/dia), por via oral durante cinco dias e grupo Glicerol + Vitis vinifera que recebeu Vitis vinifera por cinco dias antes do glicerol. RESULTADOS: Foram avaliados a função renal (FR) e o perfil oxidativo (peróxidos urinários FOX-2 e MDA-TBARS). O grupo glicerol de animais tratado com Vitis vinifera apresentou melhora da FR e redução dos níveis de peroxidação lipídica. CONCLUSÕES: Os resultados deste estudo confirmaram a ação antioxidante da Vitis vinifera na LRA induzida por glicerol.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.023
GPT teacher head0.330
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicMuscle and Compartmental DisordersFrench-language works237,207