Brain effects of 5:2 intermittent fasting and the healthy living diet in a randomized controlled trial
Bibliographic record
Abstract
Abstract Background Insulin Resistance (IR) is implicated in brain aging and Alzheimer’s disease (AD) pathogenesis. Dietary changes may promote brain health in older adults with metabolic abnormalities. An extensive animal literature suggests pro‐cognitive and beneficial systemic and brain effects of intermittent fasting (IF) that may mitigate AD risk. We conducted a randomized clinical trial comparing brain effects and the potential for AD biomarker modulation of IF and a continuous diet. Method Forty overweight, cognitively intact individuals > 55 years old with peripheral IR were randomized (1:1) to 5:2 IF (2 days 480 Kcal/day; 5 non‐restricted days) or Healthy Living (HL) diet by USDA recommendations for 8 weeks. Result Both IF and HL improved biomarkers of brain IR in neuron‐derived extracellular vesicles (NDEVs), decreased regional BrainAGE (brain‐age‐gap estimate on structural MRI) in the anterior cingulate and ventromedial prefrontal cortex, reduced glucose concentration on brain magnetic resonance spectroscopy (MRS) indicating optimized metabolism, and improved executive function and memory. Moreover, both diets decreased weight, BMI, and waist circumference suggesting high compliance, and HOMA2‐IR indicating IR alleviation. They also increased blood beta‐hydroxybutyrate and acetoacetate suggesting increased ketogenesis. Although effects of IF and HL were statistically comparable, greater numerical improvements were observed with IF for several measures of brain health, cognition, and peripheral metabolism. However, cerebrospinal fluid (CSF) and NDEVs showed no changes in AD biomarkers (Aβ 42 , total Tau, p181‐Tau, GFAP). In exploratory analysis, effects were moderated by polymorphisms in ApoE ε4 genotype, with cognitive benefits and decreased MRS glucose solely in ε4 non‐carriers; ε4 carriers showed no cognitive benefits, no decreases in MRS glucose, but increased CSF Aβ 42 /Aβ 40 ratio, NfL and GFAP. Conclusion Beneficial effects of HL and, especially, IF on NDEV‐derived brain IR, BrainAGE, brain glucose concentration, executive function and memory indicate that healthy diets may improve brain health even over short periods of time, albeit with no evidence for AD cascade modulation. Genetic factors, such as ApoE ε4 polymorphisms, may influence the brain’s response to diets. Future clinical trials encompassing IF and other dietary interventions and stratified by ApoE ε4 carrier status may provide avenues for slowing the pace of brain aging.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".