P.024 A multi-faceted lifestyle intervention for mitochondrial A8344G associated multiple symmetric lipomatosis (MSL): a successful patient initiated novel therapy
Bibliographic record
Abstract
Background: A female carrying the common MERRF mitochondrial DNA A8344G mutation had multiple symmetric lipomatosis (MSL) as the primary disease manifestation. Methods: Case report of a mitochondrial disease patient treating her severe lipomas by lifestyle modifications including a modified ketogenic diet. Results: The patient required lipoma reduction surgery after a rapid rate of lipoma progression. Following a difficult recovery, the patient independently researched an alternative therapy for her disease. The intervention was multi-faceted (dietary, physical activity, meditation) and progressive over two years. A carbohydrate reduced (5–10% of calories) modified ketogenic diet was a major part of the treatment owing to its incidental success in MSL management in her brother for management of glioblastoma multiforme. The outcome of her intervention was positive: weight loss, lipoma size reduction, improvement in physical activity/strength, laboratory markers of insulin resistance, and sense of well including a return to full time work. Conclusions: A potential non-surgical therapy for mitochondrial disease associated MSL appears feasible over the short term. The success of the lifestyle intervention in MSL therapy is unprecedented and, importantly, was fully patient initiated. This novel therapy provides potential insight into the mechanism of MSL exacerbation: suggesting insulin resistance or other lifestyle modifiable factors as mediators of disease progression.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".