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S801 Dose-Related Effects of Ricinoleic Acid (Castor Oil) on Gut Permeability in Healthy Participants: Provocative Test for Treatments Aimed at Restoring Barrier Function

2024· article· en· W4403724994 on OpenAlexaff
David Yi Yang, Camille Lupianez‐Merly, Kara J. Jencks, Saam Dilmaghani, Irene Busciglio, Deborah J. Eckert, Michael Ryks, Roy B. Dyer, Brady A. Vizenor, Yuxi Zhao, Anna Sapone, Michelle Rooks, Jeremy D. Gale, Michael Camilleri

Bibliographic record

VenueThe American Journal of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRicinoleic acidMedicineCastor oilBarrier functionPermeability (electromagnetism)PharmacologyBiochemistryCell biology

Abstract

fetched live from OpenAlex

Introduction: Intestinal barrier dysfunction is implicated in multiple conditions. Tools to disrupt gut permeability in healthy participants are needed to facilitate research into agents that restore intestinal barrier integrity. Nonsteroidal anti-inflammatory drugs (NSAIDs) disrupt predominantly gastric and small intestinal permeability. Ricinoleic acid, the active component of castor oil (CO), increased colon permeability in rabbits (PMID 863205). The aim of this study was to determine the dose-related effects of CO on gut permeability in healthy human adults. Methods: A single-center, double blinded, randomized controlled trial of healthy participants 18-70 y/o randomized (1:1:1:1) to placebo (PBO), or 750 mg, 1500 mg, 3000 mg CO administered orally daily for 5 days. On day 5, gut permeability was tested by quantifying urinary excretion of probe molecules after oral ingestion of 100 mg 13C-mannitol (13C-M) and 1 g lactulose (PMID 33865841). Three urine collections were acquired: 0-2, 2-8, and 8-24 hours. Bowel functions were appraised using a standard daily diary (stool consistency [BSFS], and bowel movement frequency). The primary endpoints were 2-8 h 13C-M and lactulose excretion, reflecting small intestinal and colonic permeability. Statistical analyses were completed in Sigmaplot using Kruskal-Wallis (KW) test for detecting differences among treatments and t-test for comparing 3000 mg CO to PBO (Figure 1). Results: 24 participants (12F) were recruited and 21 completed the trial (1 dropout, 2 incomplete data). Data from 1 participant were excluded due to recent suspected infectious gastroenteritis. Overall gut permeability assessed by 0-24 h excretion of the sugar probes (analyzed using KW test) showed significant differences among treatments for 13C-M (P =0.008), and borderline significant difference for lactulose (P =0.056) (Table 1). For comparison of 3000 mg CO vs PBO by t-test, 13C-M (P =0.087) and lactulose (P =0.044) for 2-8 h urine were higher for 3000 mg CO group. 0-24 h urinary excretions in 3000 mg CO group were significantly greater than PBO group for both probes (Table 1). In addition, 3000 mg CO was associated with looser stool consistency and slightly increased bowel frequency. Adverse events were generally mild with 1 drop-out due to abdominal pain. Conclusion: A 5-day course of 3,000 mg castor oil increases gut permeability in healthy participants, suggesting that castor oil can be an alternative to nonsteroidal anti-inflammatory drugs for studies requiring the perturbation of gut permeability.Figure 1.: Urine excretion of sugar probes 0-24 hr on day 5 of Castor Oil treatment: Dose-related effects. Table 1. - mg, median (Q1,Q3) Placebo (PBO) Castor Oil (CO) 750mg CO 1500mg CO 3000mg P-Value (KW test) P-value of 3000mg CO vs PBO (t-test) 2-8h 13C-mannitol 3.82 (1.75, 4.44) 3.06 (2.11, 3.99) 2.82 (2.01, 3.86) 5.23 (3.82, 6.20) 0.091 0.087 2-8h lactulose 0.42 (0.29, 0.90) 0.49 (0.28, 0.54) 0.60 (0.40, 0.79) 1.21 (0.75, 1.54) 0.060 0.044 0-24h 13C-mannitol 7.78 (3.67, 8.73) 7.99 (7.32, 10.0) 6.31 (4.81, 7.02) 11.87 (10.02, 17.25) 0.008 0.024 0-24h lactulose 0.92 (0.81, 1.70) 1.20 (1.02, 1.54) 1.22 (0.94, 1.55) 2.06 (1.77, 2.66) 0.056 0.019 BSFS (mean ± SD) 3.61 ± 0.66 4.38 ± 0.84 4.66 ± 1.11 5.01 ± 0.88 BM/day (mean ± SD) 1.37 ± 0.39 1.67 ± 0.82 1.90 ± 1.82 1.54 ± 0.59

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.648
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.024
GPT teacher head0.325
Teacher spread0.301 · 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 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".

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Citations0
Published2024
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