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Targeting the Gut Microbiota for the Treatment of Non-Alcoholic Fatty Liver Disease

2015· review· en· W2281337607 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Drug Targets · 2015
Typereview
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsFatty liverDysbiosisGut floraDiseaseBile acidMedicineGastroenterologyPathogenesisInternal medicineBioinformaticsBiologyImmunology

Abstract

fetched live from OpenAlex

Non-alcoholic fatty liver disease (NAFLD) is a challenge not only due to its rising prevalence but also, and perhaps more importantly, due to the lack of sustainable treatment options. Intestinal microbiota are thought to participate in the development and progression of NAFLD and their manipulation is, hence, being investigated as a treatment aim. This review summarizes the involvement of intestinal microbiota in the pathogenesis on NAFLD. In addition, we synthesize the results of the most recent animal and human studies aimed at treating dysbiosis seen in patients with NAFLD. Lastly, we review the evidence regarding the efficacy of manipulating short chain fatty acid and bile acid signaling in the treatment of NAFLD.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
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 head0.087
GPT teacher head0.379
Teacher spread0.292 · 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