MétaCan
Menu
Back to cohort
Record W3083451306 · doi:10.1139/cjpp-2020-0165

Cpt1a promoted ROS-induced oxidative stress and inflammation in liver injury via the Nrf2/HO-1 and NLRP3 inflammasome signaling pathway

2020· article· en· W3083451306 on OpenAlexvenueno aff
Xigang Luo, Dapeng Sun, Yinxiang Wang, Fengxiang Zhang, Yì Wáng

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2020
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsnot available
FundersNatural Science Foundation of Liaoning Province
KeywordsOxidative stressInflammasomeSuperoxide dismutaseGlutathioneGlutathione peroxidaseReactive oxygen speciesLiver injuryInflammationMalondialdehydeDownregulation and upregulationChemistryCell biologyBiologyEndocrinologyBiochemistryImmunologyEnzyme

Abstract

fetched live from OpenAlex

Various liver diseases caused by liver damage seriously affect people's health. The purpose of this study was to clarify the effects and the mechanisms of carnitine palmitoyltransferase 1 (Cpt1a) on oxidative stress and inflammation in liver injury. It was found that the expression of Cpt1a mRNA was upregulated in a model of liver injury in mice. Thus, overexpression of Cpt1a increased reactive oxygen species (ROS) production and malondialdehyde (MDA) levels and reduced superoxide dismutase (SOD), glutathione (GSH), and glutathione peroxidase (GSH-px) levels in an in vitro model of liver injury. It was also shown that overexpression of Cpt1a suppressed the nuclear factor erythroid-2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) signaling pathway. In summary, these data indicate that Cpt1a promotes ROS-induced oxidative stress in liver injury via the Nrf2/HO-1 and nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome signaling pathway.

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 score0.006

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 integrity0.0000.001
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 head0.017
GPT teacher head0.254
Teacher spread0.236 · 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

Citations43
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicLiver Disease and TransplantationFrench-language works237,207