Metabolic blood profile and response to treatment with the pyruvate kinase activator mitapivat in patients with sickle cell disease

Author:

van Dijk Myrthe J.12,Ruiter Titine J. J.23ORCID,van der Veen Sigrid13,Rab Minke A. E.24,van Oirschot Brigitte A.2,Bos Jennifer2,Derichs Cleo1,Rijneveld Anita W.4,Cnossen Marjon H.5,Nur Erfan67,Biemond Bart J.6,Bartels Marije1,Schutgens Roger E. G.1ORCID,van Solinge Wouter W.2,Jans Judith J. M.3,van Beers Eduard J.1ORCID,van Wijk Richard2

Affiliation:

1. Center for Benign Hematology, Thrombosis and Hemostasis—Van Creveldkliniek University Medical Center Utrecht, Utrecht University Utrecht The Netherlands

2. Central Diagnostic Laboratory and Research University Medical Center Utrecht, Utrecht University Utrecht The Netherlands

3. Section Metabolic Diagnostics, Department of Genetics University Medical Center Utrecht, Utrecht University Utrecht The Netherlands

4. Department of Hematology, Erasmus MC University Medical Center Rotterdam Rotterdam The Netherlands

5. Department of Pediatric Hematology, Erasmus MC Sophia Children's Hospital University Medical Center Rotterdam Rotterdam The Netherlands

6. Department of Hematology Amsterdam University Medical Center, University of Amsterdam Amsterdam The Netherlands

7. Department of Blood Cell Research, Sanquin Research Amsterdam The Netherlands

Abstract

AbstractMitapivat is an investigational, oral, small‐molecule allosteric activator of pyruvate kinase (PK). PK is a regulatory glycolytic enzyme that is key in providing the red blood cell (RBC) with sufficient amounts of adenosine triphosphate (ATP). In sickle cell disease (SCD), decreased 2,3‐DPG levels increase the oxygen affinity of hemoglobin, thereby preventing deoxygenation and polymerization of sickle hemoglobin. The PK activator mitapivat has been shown to decrease levels of 2,3‐DPG and increase levels of ATP in RBCs in patients with SCD. In this phase 2, investigator‐initiated, open‐label study (https://www.clinicaltrialsregister.eu/ NL8517; EudraCT 2019‐003438‐18), untargeted metabolomics was used to explore the overall metabolic effects of 8‐week treatment with mitapivat in the dose‐finding period. In total, 1773 unique metabolites were identified in dried blood spots of whole blood from ten patients with SCD and 42 healthy controls (HCs). The metabolic phenotype of patients with SCD revealed alterations in 139/1773 (7.8%) metabolites at baseline when compared to HCs (false discovery rate‐adjusted p < 0.05), including increases of (derivatives of) polyamines, purines, and acyl carnitines. Eight‐week treatment with mitapivat in nine patients with SCD altered 85/1773 (4.8%) of the total metabolites and 18/139 (12.9%) of the previously identified altered metabolites in SCD (unadjusted p < 0.05). Effects were observed on a broad spectrum of metabolites and were not limited to glycolytic intermediates. Our results show the relevance of metabolic profiling in SCD, not only to unravel potential pathophysiological pathways and biomarkers in multisystem diseases but also to determine the effect of treatment.

Funder

Agios Pharmaceuticals

Publisher

Wiley

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