MétaCan
Menu
Back to cohort
Record W2056327158 · doi:10.1038/mt.2015.64

Inhibition of Dexamethasone-induced Fatty Liver Development by Reducing miR-17-5p Levels

2015· article· en· W2056327158 on OpenAlexaff
William W. Du, Fengqiong Liu, Sze Wan Shan, Xindi Cindy, Shaan Gupta, Tianru Jin, David Spaner, Sergey N. Krylov, Yaou Zhang, Wenhua Ling, Burton B. Yang

Bibliographic record

VenueMolecular Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity Health NetworkHealth Sciences CentreYork UniversityUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsDexamethasoneFatty liverEndocrinologyBiologyInternal medicineChemistryPharmacologyMedicineDisease

Abstract

fetched live from OpenAlex

Steatosis is a pivotal event in the initiation and progression of nonalcoholic fatty liver disease (NAFLD) which can be driven by peroxisome proliferator-activated receptor-α (PPAR-α) dysregulation. Through examining the effect of PPAR-α on fatty liver development, we found that PPAR-α is a target of miR-17-5p. Transgenic mice expressing miR-17 developed fatty liver and produced higher levels of triglyceride and cholesterol but lower levels of PPAR-α. Ectopic expression of miR-17 enhanced cellular steatosis. Gain-of-function and loss-of-function experiments confirmed PPAR-α as a target of miR-17-5p. On the other hand, PPAR-α bound to the promoter of miR-17 and promoted its expression. The feed-back loop between miR-17-5p and PPAR-α played a key role in the induction of steatosis and fatty liver development. Mice with high levels of miR-17-5p were sensitive to Dexamethasone-induced fatty liver formation. Inhibition of miR-17-5p suppressed this process and enhanced PPAR-α expression in mice treated with Dexamethasone. Clofibrate, Ciprofibrate, and WY-14643: three agents used for treatment of metabolic disorders, were found to promote PPAR-α expression while decreasing miR-17-5p levels and inhibiting steatosis. Our studies show that miR-17-5p inhibitor and agents used in metabolic disorders may be applied in combination with Dexamethasone in the treatment of anti-inflammation, immunosuppression, and cancer patients. Steatosis is a pivotal event in the initiation and progression of nonalcoholic fatty liver disease (NAFLD) which can be driven by peroxisome proliferator-activated receptor-α (PPAR-α) dysregulation. Through examining the effect of PPAR-α on fatty liver development, we found that PPAR-α is a target of miR-17-5p. Transgenic mice expressing miR-17 developed fatty liver and produced higher levels of triglyceride and cholesterol but lower levels of PPAR-α. Ectopic expression of miR-17 enhanced cellular steatosis. Gain-of-function and loss-of-function experiments confirmed PPAR-α as a target of miR-17-5p. On the other hand, PPAR-α bound to the promoter of miR-17 and promoted its expression. The feed-back loop between miR-17-5p and PPAR-α played a key role in the induction of steatosis and fatty liver development. Mice with high levels of miR-17-5p were sensitive to Dexamethasone-induced fatty liver formation. Inhibition of miR-17-5p suppressed this process and enhanced PPAR-α expression in mice treated with Dexamethasone. Clofibrate, Ciprofibrate, and WY-14643: three agents used for treatment of metabolic disorders, were found to promote PPAR-α expression while decreasing miR-17-5p levels and inhibiting steatosis. Our studies show that miR-17-5p inhibitor and agents used in metabolic disorders may be applied in combination with Dexamethasone in the treatment of anti-inflammation, immunosuppression, and cancer patients.

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 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 score0.055
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.070
GPT teacher head0.300
Teacher spread0.230 · 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

Citations39
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueMolecular TherapySame topicLiver Disease Diagnosis and TreatmentFrench-language works237,207