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Record W4411953221 · doi:10.1089/jmf.2025.k.0060

Enhanced Oral Bioavailability of Lutein and Zeaxanthin via a Self-Emulsifying Delivery System: A Randomized, Double-Blind Cross-Over Study

2025· article· en· W4411953221 on OpenAlexaff
C Ambrish, Priya MK, Jinhak Kim, Kwang-Soo Baek, Yoo Kyoung Park

Bibliographic record

VenueJournal of Medicinal Food · 2025
Typearticle
Languageen
FieldMedicine
TopicAntioxidant Activity and Oxidative Stress
Canadian institutionsSemtech (Canada)
Fundersnot available
KeywordsZeaxanthinLuteinBioavailabilityChemistryDouble blindMedicinePharmacologyTraditional medicineFood scienceCarotenoidPathology

Abstract

fetched live from OpenAlex

This study was conducted to evaluate and verify the improved bioavailability, as determined by the plasma concentrations of lutein and zeaxanthin, of the test supplement, XanMax® 2002 plus LuZeAbility™, as compared to the reference supplement, XanMax® 2002. For this purpose, this study was designed as a randomized, double-blind, two-group, two-period cross-over clinical trial research. A total of 24 male subjects participated in the clinical trial. They were randomized 1:1 into group 1 or 2 to consume two types of supplements in two separate periods. This study aimed to propose and demonstrate that the bioavailability and the plasma concentrations of lutein and zeaxanthin in the test supplement were significantly higher (110-132.8%) than in the reference supplement in all consecutive periods, such as 12 to 72 h after intake and at the time of maximum concentration. These results are expected to strengthen macular pigment optical density levels, ultimately providing a safe and effective intervention for comprehensively promoting eye health. Therefore, the findings of this study have significant pharmacokinetic implications and offer valid theoretical and practical insights for both academic research and the industrial development in the supplement market.

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)0.004
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)0.0000.000

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 head0.027
GPT teacher head0.341
Teacher spread0.314 · 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 designRandomized trial
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
Published2025
Admission routes1
Has abstractyes

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