Modulation of MicroRNAs Linked to Pain-migraine by Ketogenic Diet (P14-007-19)
Bibliographic record
Abstract
Migraine is a neurovascular disorder with complex pathophysiology. The ketogenic diet (KD) it is well recognized to treat epilepsy drug-resistant as well as other neurological disorder including migraine. Our previous study showed that six weeks of biphasic KD influences circulating microRNAs (miRs) linked to energy metabolism (Cannataro R., Perri M. et al. MicroRNA (2019) 8: 1). At the end of the study, six female obese patients self-reported to had a better outcome of pain-migraine and migraine attack. Therefore, we analyzed miRs associated with pain-migraine. The KD was planned depending on the dietary diary recorded by each subject for 14 days before starting the KD program and was set with less than 30 g of carbohydrate per day. Six female obese patients in stage 1 of the Edmonton Obesity Staging System (EOSS) parameter self-reporting suffering of migraine were analyzed for miRs linked to pain-migraine. 200 microL of blood/serum was used for the extraction of miRs and their expression profile was achieved by direct hybridization using the multiplexed NanoString nCounter-flex system. In silico bioinformatics approach (using miRWalk, miR target link, and target scan) were employed to detect target genes and miRNA-regulated biological function. The six female obese patients whose reduce their weight during the biphasic KD program, self-reported that migraines attack disappeared only during, and not outside, the cycles of biphasic KD program. Among the 7 miRs linked to pain-migraine (Gallelli L. et al. MicroRNA (2017) 6: 152), 6 were found substantially at the same levels before and after the KD program (Table 1). Even, the brain-enriched hsa-382–5p was confirmed to be unchanged according to previous finding (Andersen H.H. et al. Mol Neurobiol. (2016) 53: 1494) (Table 1). While the has-miR-590–5p and the emerging hsa -miR-660–3p were strongly affected by KD (Fig 1A-B). The validated target gene of this three latter miRs were 3, 2 and any respectively (Table 2). KD thought miRs modulation could contribute to restore brain excitability and metabolism and to counteract neuroinflammation and pain-migraine, although the precise mechanism is still unclear. Fund was obtained from Calabria Regional Council POR FSE 2007/2013 to EC.
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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 | 0.000 | 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) | 0.003 | 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 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".