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Record W7046396813

The effects of carrot carotenoids on diabetic retinopathy in Type 1 diabetes mellitus

2012· dissertation· en· W7046396813 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCarotenoidType 1 diabetesDiabetic retinopathyDiabetes mellitusRetinalStreptozotocinRetinoidLycopene
DOInot available

Abstract

fetched live from OpenAlex

While carotenoids are essential for visual function, their potential role in diabetic retinopathy is not known. By providing carrot powder, this study examined carotenoid metabolism and visual function in Type 1 diabetes. Wistar rats (n=30) were assigned to diet either with or without carrot enrichment (15%, w/w) for 12 weeks. Type 1 diabetes was induced with streptozotocin at 3 weeks. Retinal function and anatomical integrity were assessed along with retinoid and carotenoid levels in the serum, liver, and retina. Loss of ERG oscillatory potentials, with normal histology indicated early stage retinopathy. Healthy animals fed carrot diet showed highest b-wave amplitudes; reflecting higher phototransduction. Diabetic animals fed carrot diet had the lowest b-wave amplitudes, reduced retinoids liver reserves, and highest α- and β-carotene, suggesting disturbance of conversion during diabetes. Consequently carrot powder at concentrations used by this study cannot be recommended for diabetic retinopathy.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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 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

Citations2
Published2012
Admission routes1
Has abstractyes

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