Investigating the Therapeutic Potential of the Ketogenic Diet in Modulating Neurodegenerative Pathophysiology: An Interdisciplinary Approach
Bibliographic record
Abstract
The ketogenic diet (KD) is a dietary intervention comprising a high-fat, low-carbohydrate, and moderate-protein intake designed to induce a metabolic state known as ketosis, whereby ketone bodies are produced as an alternative source of energy. Initially established as a treatment for intractable epilepsy, the KD has subsequently gained significant attention for its potential to manage neurodegenerative diseases, including Alzheimer's, Parkinson's, and Huntington's disease. Ketone bodies, such as beta-hydroxybutyrate (BHB), have been demonstrated to possess neuroprotective properties. The increasing prevalence of neurodegenerative diseases, such as Alzheimer's, Parkinson's, and Huntington's disease, poses a significant public health challenge worldwide. With neurological disorders being the second-leading cause of death globally, the need for effective therapeutic interventions has never been more urgent. Recent evidence suggests that dietary interventions, particularly the ketogenic diet, offer promising potential in mitigating the progression of these diseases by influencing metabolic processes and providing neuroprotective benefits. The ketogenic diet, characterized by high-fat and low-carbohydrate intake, induces ketosis, leading to the production of ketone bodies like beta-hydroxybutyrate, which enhance mitochondrial efficiency, reduce oxidative stress, and modulate inflammatory pathways-mechanisms critical in neurodegenerative pathophysiology. This review explores the role of the ketogenic diet in managing neurological conditions, examining its mechanisms of action, historical context, and therapeutic efficacy. The paper also discusses emerging evidence linking the ketogenic diet to improved cognitive function, reduced motor symptoms, and enhanced mitochondrial activity in patients with neurodegenerative disorders. Additionally, the review highlights the need for further research to refine the therapeutic applications of the ketogenic diet, investigate its impact on various neurodegenerative diseases, and better understand its potential long-term effects. This study underscores the importance of nutrition as a vital aspect of the treatment strategy for neurological diseases, advocating for continued exploration of dietary interventions to improve brain health and function.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".