Edx-17: A Novel, Safe and Efficacious Treatment for Sickle Cell Disease
Bibliographic record
Abstract
Abstract Gene regulation of developmental hemoglobin switching holds the potential for therapeutic relief from all symptoms associated with Sickle Cell Disease (SCD). Reactivation of fetal gamma-globin expression (HbF) can replace mutant betaS-globin (HbS) to produce functional hemoglobin tetramers and eliminate the hemoglobin polymerization that is characteristic of sickled red blood cells. We have discovered a protein that regulates this developmental switch, and have identified a compound that stimulates expression of this protein. EdX-17 promotes expression of the anti-stress factor ferritin heavy chain (FtH), which enters the nucleus of erythroid precursor cells and activates expression of fetal gamma-globin, producing HbF (PNAS 98:9145-50, 2001; Blood 108:790a, 2006). Mononuclear cells were isolated from SCD patient blood and matured in vitro to the advanced erythroblast stage using a 28-day, 2-phase culture system (Methods in Molecular Biology 482:127-40, 2009; Blood 119:6296-306, 2012). Treatment with EdX-17 for 24h resulted in a dose-responsive induction of gamma-globin gene expression and a concomitant dose-responsive increase in HbF was observed after 28 days in culture. These studies demonstrate that EdX-17 doses in the picomolar range are sufficient to significantly enhance HbF. Furthermore, EdX-17 treatment reconstitutes fetal hemoglobin (HbF) in transgenic betaYAC mice to levels above 25-30% - the range thought to be sufficient to ameliorate symptoms of SCD – with no detectable ill effects. In fact, mice treated with EdX-17 tend to have shinier coats, are more alert and stronger than age-matched, untreated mice. Development of this novel therapeutic is expected to ameliorate SCD symptoms, decrease pain and morbidity, increase life-span, greatly improve patient quality of life, and significantly reduce treatment costs. Supported in part by The Sickle Cell Cure Foundation, Inc., the Bill & Melinda Gates Foundation, and EpimedX, LLC. Disclosures Broyles: EpimedX, LLC: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding. Curtis:EpimedX, LLC: Employment, Equity Ownership, Research Funding. Roth:EpimedX, LLC: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding. Floyd:EpimedX, LLC: Employment, Equity Ownership, Research Funding. Belegu:EpimedX, LLC: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding. Floyd:EpimedX, LLC: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding.
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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 | 0.001 |
| 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".