Effect of An Omega-3 Polyunsaturated Fatty Acid Enriched Diet, Acetylsalicylic Acid, and Aspirin-Triggered Lipoxin on Survival in a Murine Model of Acute Graft-Versus-Host Disease
Bibliographic record
Abstract
Abstract Abstract 4708 Background: Systemic inflammation is well appreciated to play a role in the pathogenesis of acute graft-versus-host disease (aGVHD). Recent studies have focused on homeostatic mechanisms that counteract inflammation and heal damaged tissues. These include the generation of lipoxins, resolvins, and protectins, eicosanoid molecules collectively referred to as the anti-inflammatory and pro-resolving lipid mediators. These lipid mediators have biologic activities known to antagonize mechanisms underlying the development of aGVHD, including downregulation of pro-inflammatory cytokines such as TNFα. Resolvins and protectins are derived from the Ω3-polyunsaturated fatty acids (PUFAs) eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), respectively. Diets enriched for Ω3-PUFAs (high fish oil) are protective against inflammatory conditions, whereas “Western” diets with higher Ω6-PUFA promote inflammation. Furthermore, the anti-inflammatory properties of acetylsalicylic acid (ASA) are increasingly being attributed to its ability to enhance the generation of aspirin-triggered lipoxins, epimers of endogenously produced lipoxins. Hypothesis: We hypothesized that a diet enriched for Ω3-PUFAs, ASA ingestion or the injection of a purified aspirin triggered lipoxin would mitigate the development of aGVHD and provide a survival advantage in a major histocompatibility mismatched mouse model of aGVHD. Methods: The C56BL/6→(C57BL/6 × DBA/2)F1-hybrid mouse model was used to induce lethal aGVHD. Five groups (n=10) were established and treated as follows: Recipients were fed the diets for 8-weeks before transplantation. The Ω6-diet (control) was enriched to 2% total FA with arachidonic acid (ARASCO, Martek). The Ω3-diet was enriched to 1% each of EPA (ROPUFA-30, DSM Nutritionals) and DHA (DHASCO, Martek). Chromatography was used to confirm the fatty acid (FA) composition of each diet, and the FA content (Ω6 and Ω3 tissues stores) of the mouse livers (n=4/diet) after 8-weeks of feeding. Diets were the same for each group pre- and post-transplant. Using identical methodology, a second experiment was performed in which the recipients were treated as follows: Ω6-diet plus 15-epi-LxA4 100 mcg/kg/day, i.p. daily from day 0 until death (n=10). Survival post-transplant was the primary outcome. Mice were euthanized when they showed signs of GVHD-associated morbidity and had reached their humane endpoint as defined in our animal protocol. Results: Compared to mice fed the Ω6 or Ω6 plus ASA diets, the Ω3 and Ω3 plus ASA diets resulted in a higher hepatic content of both EPA and DHA after 8-weeks of feeding, suggesting differential tissue stores of these Ω3-PUFAs immediately before transplant in the mice fed the Ω3-diets (mean EPA as % of total FA: 0.22% and 0.19% vs. 0.92% and 1.03%, respectively; mean DHA as % of total FA: 1.58% and 1.79% vs. 6.99% and 8.15%, respectively: p<0.05). No significant survival differences were seen post- transplant in groups 1–4 (figure 1). Similarly, mice injected with 200 mcg/kg/day of 15-epi-LxA4 at days 0 and 7 (Group 5) failed to show a significant survival advantage, although a non-significant trend towards improved survival by a couple of days was suggested (figure 1). Since no dosing strategy for 15-epi-LxA4 is known, we repeated the experiment using a lower (100 mcg/kg/day) but more frequent (daily) dosing of 15-epi-LxA4. No significant improvements in survival were observed compared to the control group (figure 2). Conclusions: We were unable to demonstrate a significant improvement in survival in any of the treatment groups in this model of aGVHD. Possible reasons for this may include a suboptimal dosing strategy (frequency and/or cumulative dose) or the intense systemic inflammatory response that develops in this mouse model of acute GVHD. Alternatively, the treatments used in this study may be insufficient to have any therapeutic benefit on the relevant outcomes such as survival from aGVHD, when administered as stand-alone treatments. Since little is known about these interventions in transplantation, we continue to explore different combinations and dosing strategies. Disclosures: No relevant conflicts of interest to declare.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".