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Record W2738194225 · doi:10.1096/fasebj.21.5.a350-a

Changes in carotenoid stereoisomers in the primate retina with age

2007· article· en· W2738194225 on OpenAlexaff
John T. Landrum, Yisi Cao, Richard A. Bone, Martha Neuringer, N. Landauer, Jacques Zimmer

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsNautilus Biosciences (Canada)
Fundersnot available
KeywordsZeaxanthinLuteinRetinaCarotenoidPrimateMacaqueRhesus macaqueBiologyAnatomyChemistryOphthalmologyInternal medicineMedicineBiochemistryNeuroscienceGenetics

Abstract

fetched live from OpenAlex

Meso‐zeaxanthin (MZ) is present in the fovea of the human and primate retina. It is formed by an unknown pathway from lutein. Preliminary study of MZ in the retinas of human neonates indicated that this pathway is not functional in the young eye. This study investigated changes in the distribution of the carotenoids in the developing retina. HPLC was employed to study the distribution of carotenoids in 38 macaque retinas ranging from 148 days of gestation to 1.58 yrs in age. The carotenoid amounts were measured in concentric punches of the retina having diameters of 2, 4, and 8 mm, centered on the fovea. The amount of lutein (L), MZ, and zeaxanthin (RRZ) in 2 mm punches were all found to vary significantly, (P < 0.003), with age. The ratios of Z+MZ to L and MZ to L in 2 mm punches both increase significantly with age, (P < 0.001). The amounts of L, MZ, and RRZ in 2 mm punches were significantly greater than 4 mm punches (P < 0.0001). The amounts of L, MZ, and RRZ in 4 mm punches were significantly greater than in 8 mm punches (P < 0.002). The increase in the MZ/L ratio with age is consistent with a pathway in which L is converted MZ. Funding: Wyeth Nutrition

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)0.001
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
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.024
GPT teacher head0.285
Teacher spread0.261 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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