Dimethyl Fumarate Induces Cytoprotection and Inhibits Inflammation and Vaso-Occlusion in Transgenic Sickle Mice
Bibliographic record
Abstract
Abstract Patients with sickle cell disease have unrelenting hemolysis leading to the release of hemoglobin and heme into the vasculature that promote oxidative stress, inflammation, vaso-occlusive pain crises, ischemia-reperfusion injury and organ damage. Induction of the cytoprotective heme metabolizing enzyme heme oxygenase-1 (HO-1), the iron-binding protein ferritin heavy chain or administration of the HO-1 metabolite CO induces cytoprotective responses that inhibit oxidative stress, inflammation, vaso-occlusion and organ damage in transgenic sickle mice expressing human βS globins. The master regulator of these anti-oxidative and cytoprotective responses is nuclear factor erythroid 2-related factor (Nrf2). Nrf2 activity is controlled, in part, by the cytosolic protein, kelch-like ECH-associated protein 1 (Keap1). Nrf2 is anchored in the cytoplasm through binding with Keap1 which results in its ubiquitination and subsequent proteosomal degradation. Upon exposure to stress stimuli, such as reactive oxygen species and electrophiles, Nrf2 is stabilized and able to translocate to the nucleus where it trans-activates target genes that possess an antioxidant responsive element (ARE) in their promoter regions. Recently the FDA and their European and Canadian counterparts approved dimethyl fumarate (Tecfidera) for the treatment of relapsing multiple sclerosis. Dimethyl fumarate (DMF) and its metabolite monomethyl fumarate alkylate a critical reactive thiol Cys-151 on Keap1 causing release of Nrf2, nuclear localization and activation of cellular anti-oxidant and cytoprotective responses. Based on our previous results showing cytoprotection through HO-1 and it products, we evaluated DMF responses in NY1DD transgenic sickle mice. DMF (15mg/kg) or vehicle (0.08% methyl cellulose) was administered by oral gavage BID X 3 days to NY1DD mice. On the first day of treatment, mice were implanted with dorsal skin-fold chambers. One hour after the last treatment, 20-30 flowing subcutaneous venules were selected and mapped in the dorsal skin-fold chamber window followed by infusion of heme (3.2 µmols/kg) into the tail vein. All of the selected venules were re-examined at 1 and 4 hours post-infusion and the number of static (no flow) venules were counted and expressed as percent stasis. After the 4 hour stasis measurement, blood was collected and organs were removed and flash frozen. In sickle mice treated with vehicle, microvascular stasis was 29% and 24% at 1 and 4 hours, respectively (Fig. 1). In contrast, in sickle mice treated with DMF, stasis was 6% and 4% at 1 and 4 hours (p<0.001). There also was a marked increase in nuclear Nrf2 in liver nuclear extracts of DMF-treated sickle mice on Western blots. Analysis of liver mRNA by qRT-PCR revealed that there was a 2.4 to 4.4-fold enrichment of mRNA coding for putative Nrf2-responsive antioxidant proteins in DMF-treated sickle mice compared to vehicle treated mice (Table 1). This was accompanied by a 3.3-fold increase in HO-1 activity (p<0.05), a distinct increase in cytoplasmic ferritin heavy chain on Western blot and a marked decrease in nuclear NF-κB phospho-p65 activation on Western blot of liver nuclear extracts of DMF treated sickle mice versus vehicle controls. Red blood cells and white blood cells isolated from DMF-treated sickle mice had significantly decreased adhesion to resting and heme- and TNF-activated HUVEC compared to blood cells from mice treated with vehicle. We conclude that DMF may be an effective agent to prevent sickle crises through induction of HO-1, ferritin and other antioxidant proteins, and inhibition of vaso-occlusion. These data combined with prior evidence that monomethyl fumarate can induce hemoglobin F make it an idea candidate for clinical trials in SCD patients. Table 1 Enrichment of mRNA for Antioxidant Proteins in DMF-treated Livers mRNA Fold enrichment P value HO-1 2.4 0.08 Hemopexin 2.5 0.023 Ferritin Heavy Chain 2.6 <0.001 Haptoglobin 2.7 0.046 Nrf2 2.7 0.004 Ferroportin 3.1 <0.001 GlutamateCysteine Ligase Catalytic Subunit 3.3 <0.001 Glutathione S-Transferase A2 3.4 0.032 NAD(P)H Dehydrogenase [Quinone] 1 3.8 0.008 Glutathione S-Transferase Mu 1 3.8 <0.001 Multidrug Resistance-associated Protein 2 4.4 <0.001 Figure 1 Figure 1. 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".