Effect of Endocrine-Disrupting Chemicals on Obesity in Children and Adolescents: A Systematic Review Protocol
Bibliographic record
Abstract
OF).All diets provide 20%, 35% and 45% of energy from protein, fat and carbohydrates, respectively.Relative to the AA group, the AV and OF provide greater MUFA and fiber.The OF group received a snack that mimicked the fiber and MUFA profile of avocados.Each 4-week diet period was separated by a 2-week washout.Weight-stable adults (25-74 y) without diabetes with overweight or obesity (BMI 25 kg/m 2 ) were eligible for enrollment.Fecal, blood, and urine samples were collected during week 4 of each condition.Fecal microbiome will be assessed through shotgun metagenomic sequencing.Fecal metabolites (SCFA, branched chain fatty acids [BCFA], ammonia, phenols, and indoles) will be measured with GC/MS.Fecal bile acids will be quantified via LC-MS/MS.Other measures of gastrointestinal health will include tolerance, stool consistency, and fecal pH.ELISA will be used to measure systemic inflammatory cytokines (IL-6, TNF-, LPS-BP, and CRP) and fecal inflammatory markers (IgA and calprotectin).Gut permeability will be assessed by quantifying urinary excretion of orally ingested rhamnose, mannitol, and sucralose.Urinary excretion between 0-2hrs and 8-24hrs reflect predominantly small intestine and colonic permeability, respectively.Lastly, neuropsychological performance will be evaluated by administering the NIH toolbox and neuroelectric function will be assessed using event related potentials (ERPs) during a modified Eriksen Flanker task.Results: N/A Conclusions: The findings of this study will highlight the impact of daily avocado consumption on gut microbiome composition and gastrointestinal health, anti-inflammatory responses and cognitive function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".