Low carbohydrate and low-calorie diets reduce liver fat and lower brain glutamate and myo-inositol levels in patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
Bibliographic record
Abstract
In a longitudinal cohort study with intervention (NCT05216796), we utilized multiorgan imaging to determine if metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with elevated cerebral glutamate and myo-inositol and to determine their sensitivity to dietary intervention. Fifty-five adults with self-reported MASLD or high MASLD risk (3 + metabolic risk factors) received liver and brain magnetic resonance spectroscopy scans pre and post two-week low carbohydrate (≤30 g/d) or low-calorie (women ~ 1200 kcal/d; men ~ 1500 kcal/d) diet, both known for their ability to reduce liver fat. Forty-four adults completed the study (36 female, average age 54 years). Thirty out of 44 met clinical criterion for MASLD based on neuroimaging (≥ 5% hepatic triglycerides). Intervention was associated with significant decreases in liver fat fraction (mean difference = 3.101, 95% CI 2.104-4.099, p < 0.0001), glutamate (mean difference = 0.753, 95% CI 0.274-1.233, p = 0.0032) and myo-inositol (mean difference = 0.478, 95% CI 0.180-0.775, p = 0.0027) in patients with confirmed MASLD. Thus, MASLD may be a source of glutamate neurotoxicity and neuroinflammation and diet is an effective strategy for supporting brain as well as liver health.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".