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O estresse oxidativo na regeneração hepática em ratos

2008· article· pt· W2070932096 on OpenAlexaff
José Ulisses de Souza Melo, Manoel Messias Campos Júnior, Jefferson Menezes Viana Santos, Marcus Vinicius Amaral Barreto, Osamu Kimura

Bibliographic record

VenueRevista do Colégio Brasileiro de Cirurgiões · 2008
Typearticle
Languagept
FieldMedicine
TopicLiver physiology and pathology
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMolecular biologyChemistryBiology

Abstract

fetched live from OpenAlex

OBJETIVO: Investigar o estresse oxidativo durante a regeneração hepática em ratos submetidos à hepatectomia (HP) e, ao mesmo tempo, avaliar a função hepática enquanto em regeneração. MÉTODO: 36 ratos Wistar machos jovens foram aleatoriamente distribuídos em dois grupos de 18 animais: submetidos somente à laparotomia (controle, Grupo G1) e parcialmente hepatectomizados (experimento, Grupo G2). Nos tempos 36h (T1), 168h (T2) e 336h (T3) pós-HP, GSH foi medida no plasma e no tecido hepático, enquanto Gli e BT foram aquilatados no sangue. A massa do fígado residual foi utilizada para estimar a evolução da regeneração hepática. RESULTADOS: Houve diferença estatisticamente significativa no crescimento dos lobos residuais nos grupos controle e experimento. GSH hepático e plasmático se mostraram significantemente maior nos animais parcialmente hepatectomizados.,em todos os tempos. Hiperglicemia estatisticamente significativa ocorreu nos ratos pós-HP nos tempos T2 e T3. A BT não apresentou qualquer alteração entre os grupos. CONCLUSÃO: Durante a regeneração hepática pós-HP em ratos há um aumento do estresse oxidativo e o fígado residual permanece apto na manutenção da homeostase orgânica.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.000

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 head0.035
GPT teacher head0.286
Teacher spread0.251 · 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".

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Citations0
Published2008
Admission routes1
Has abstractyes

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