Dietary DHA-rich Supplementation Decreases Neurotoxic Lipid Mediators in Participants with Type II Diabetes and Neuropathic Pain
Bibliographic record
Abstract
A growing body of evidence indicates a link between circulating neurotoxic lipids and the development of chronic neuroinflammatory diseases in the peripheral and central nervous systems. Therefore, strategies to modify circulating lipid profiles may complement the management of neuroinflammatory diseases, including neuropathic pain. In a previous study, we observed a sig-nificant shift in the metabolomic profile of patients' plasma with symptoms of painful diabetic neuropathy (pDN) following three months of docosahexaenoic acid (DHA)-rich supplementation, leading to improved pDN symptoms. However, it is important to identify the specific lipid mediators responsible for this therapeutic effect and elucidate potential mechanism(s). This study investigates whether DHA-rich supplementation reduces neurotoxic lipid mediators associated with pDN in individuals with type 2 diabetes mellitus (T2DM). Forty volunteers diagnosed with type 2 diabetes were enrolled in the "En Balance-PLUS" diabetes education study. The volunteers participated in weekly lifestyle/nutrition education and daily supplementation with 1000 mg DHA and 200 mg eicosapentaenoic acid. The Short-Form McGill Pain Questionnaire validated the clinical determination of baseline and post-intervention pain complaints. Untargeted Lipidomic analyses were conducted using blood serum collected at baseline and after three months of participation in the dietary regimen. The lipidomic data were analyzed using a non-parametric paired Wilcoxon rank-sum test and random forest analysis. ELISA further eval-uated participant serum samples to investigate associated biomarkers of necrosis (MLKL), autophagy (ATG5), and lipid chaperone protein (FABP5). Untargeted lipidomic analysis revealed that several neurotoxic-associated lipids significantly decreased after DHA-rich supplementation. Also, circulating levels of MLKL were reduced, while protein levels of ATG5 and FABP5 significantly increased. The reduction of circulating neurotoxic lipids and increase of neuroprotective lipids following DHA-rich supplementation is consistent with the reported roles of omega-3 polyunsaturated fatty acids (PUFAs) in reducing adverse symptoms associated with neuroinflammatory diseases and painful neuropathy.
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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) | 0.002 | 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".