ReviewBlood advances2019
Metabolomic and molecular insights into sickle cell disease and innovative therapies.
Review in Blood advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 44 citations in OpenAlex.
- Functional and multi-omics signatures of mitapivat efficacy upon activation of pyruvate kinase in red blood cells from patients with sickle cell disease.Haematologica · 2024Trial
- G Protein-Coupled Receptor in High-Altitude Diseases: Mechanistic Insights and Therapeutic Opportunities.MedComm · 2026Review
- Three-year safety, efficacy, and renal outcomes of mitapivat treatment in sickle cell disease: results from the phase 2 open-label study.Haematologica · 2026Article
- Alterations of Plasma Metabolites Associated with Sickle Cell Trait.Clinical journal of the American Society of Nephrology : CJASN · 2026Article
- Lands' Cycle at the Crossroads: Phospholipid Remodelling, Oxidative Stress, Cellular Toxicity, and Therapeutic Targeting.ACS pharmacology & translational science · 2025Review
- Accelerated drug approvals and patient trust: impact of voxelotor and crizanlizumab for sickle cell disease.Blood advances · 2025Article
- Metabolic blood profile and response to treatment with the pyruvate kinase activator mitapivat in patients with sickle cell disease.HemaSphere · 2024Article
- Metabolic signatures of cardiorenal dysfunction in plasma from sickle cell patients as a function of therapeutic transfusion and hydroxyurea treatment.Haematologica · 2023Article
- Article
- Self-Reported Medication Adherence Measured with Morisky Scales in Rare Disease Patients: A Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2023Review
- Article
- Challenges and Opportunities of Precision Medicine in Sickle Cell Disease: Novel European Approach by GenoMed4All Consortium and ERN-EuroBloodNet.HemaSphere · 2023Article
- Metabolic correlates to critical speed in murine models of sickle cell disease.Frontiers in physiology · 2023Article
- Moderate hypoxia induces metabolic divergence in circulating monocytes and tissue resident macrophages from Berkeley sickle cell anemia mice.Frontiers in medicine · 2023Article
- Purinergic signaling is essential for full Psickle activation by hypoxia and by normoxic acid pH in mature human sickle red cells and in vitro-differentiated cultured human sickle reticulocytes.Pflugers Archiv : European journal of physiology · 2022Article
- Effects of Formyl Peptide Receptor Agonists AcCells · 2022Article
- Plasma Levels of Acyl-Carnitines and Carboxylic Acids Correlate With Cardiovascular and Kidney Function in Subjects With Sickle Cell Trait.Frontiers in physiology · 2022Article
- Article
- Amniotic fluid metabolomic and lipidomic alterations associated with hemoglobin Bart's diseases.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Sickle cell vaso-occlusion: The dialectic between red cells and white cells.Experimental biology and medicine (Maywood, N.J.) · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Sickle cell disease (SCD) is an autosomal-recessive hemolytic disorder with high morbidity and mortality. The pathophysiology of SCD is characterized by the polymerization of deoxygenated intracellular sickle hemoglobin, which causes the sickling of erythrocytes. The recent development of metabolomics, the newest member of the "omics" family, has provided a powerful new research strategy to accurately measure functional phenotypes that are the net result of genomic, transcriptomic, and proteomic changes. Metabolomics changes respond faster to external stimuli than any other "ome" and are especially appropriate for surveilling the metabolic profile of erythrocytes. In this review, we summarize recent pioneering research that exploited cutting-edge metabolomics and state-of-the-art isotopically labeled nutrient flux analysis to monitor and trace intracellular metabolism in SCD mice and humans. Genetic, structural, biochemical, and molecular studies in mice and humans demonstrate unrecognized intracellular signaling pathways, including purinergic and sphingolipid signaling networks that promote hypoxic metabolic reprogramming by channeling glucose metabolism to glycolysis via the pentose phosphate pathway. In turn, this hypoxic metabolic reprogramming induces 2,3-bisphosphoglycerate production, deoxygenation of sickle hemoglobin, polymerization, and sickling. Additionally, we review the detrimental role of an impaired Lands' cycle, which contributes to sickling, inflammation, and disease progression. Thus, metabolomic profiling allows us to identify the pathological role of adenosine signaling and S1P-mediated erythrocyte hypoxic metabolic reprogramming and hypoxia-induced impaired Lands' cycle in SCD. These findings further reveal that the inhibition of adenosine and S1P signaling cascade and the restoration of an imbalanced Lands' cycle have potent preclinical efficacy in counteracting sickling, inflammation, and disease progression.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.