Myrthe J. van Dijk, Titine J. J. Ruiter, Sigrid van der Veen, Minke A. E. Rab, Brigitte A. van Oirschot, Jennifer Bos, Cleo Derichs, Anita W. Rijneveld, Marjon H. Cnossen, Erfan Nur, Bart J. Biemond, Marije Bartels, Roger E. G. Schutgens, Wouter W. van Solinge, Judith J. M. Jans, Eduard J. van Beers, Richard van Wijk
{"title":"镰状细胞病患者的血液代谢概况和对丙酮酸激酶激活剂米他匹伐治疗的反应。","authors":"Myrthe J. van Dijk, Titine J. J. Ruiter, Sigrid van der Veen, Minke A. E. Rab, Brigitte A. van Oirschot, Jennifer Bos, Cleo Derichs, Anita W. Rijneveld, Marjon H. Cnossen, Erfan Nur, Bart J. Biemond, Marije Bartels, Roger E. G. Schutgens, Wouter W. van Solinge, Judith J. M. Jans, Eduard J. van Beers, Richard van Wijk","doi":"10.1002/hem3.109","DOIUrl":null,"url":null,"abstract":"<p>Mitapivat 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 <i>p</i> < 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 <i>p</i> < 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.</p>","PeriodicalId":12982,"journal":{"name":"HemaSphere","volume":"8 6","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11196954/pdf/","citationCount":"0","resultStr":"{\"title\":\"Metabolic blood profile and response to treatment with the pyruvate kinase activator mitapivat in patients with sickle cell disease\",\"authors\":\"Myrthe J. van Dijk, Titine J. J. Ruiter, Sigrid van der Veen, Minke A. E. Rab, Brigitte A. van Oirschot, Jennifer Bos, Cleo Derichs, Anita W. Rijneveld, Marjon H. Cnossen, Erfan Nur, Bart J. Biemond, Marije Bartels, Roger E. G. Schutgens, Wouter W. van Solinge, Judith J. M. Jans, Eduard J. van Beers, Richard van Wijk\",\"doi\":\"10.1002/hem3.109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Mitapivat 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 <i>p</i> < 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 <i>p</i> < 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.</p>\",\"PeriodicalId\":12982,\"journal\":{\"name\":\"HemaSphere\",\"volume\":\"8 6\",\"pages\":\"\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11196954/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"HemaSphere\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hem3.109\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"HemaSphere","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hem3.109","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
Mitapivat 是一种正在研究的丙酮酸激酶(PK)口服小分子异位激活剂。PK是一种调节性糖酵解酶,是为红细胞(RBC)提供足量三磷酸腺苷(ATP)的关键。在镰状细胞病(SCD)中,2,3-DPG 水平的降低会增加血红蛋白的氧亲和力,从而阻止镰状血红蛋白的脱氧和聚合。PK 激活剂米他匹伐已被证明能降低 SCD 患者红细胞中的 2,3-DPG 含量并提高 ATP 含量。在这项由研究者发起的开放标签 2 期研究(https://www.clinicaltrialsregister.eu/ NL8517; EudraCT 2019-003438-18)中,采用了非靶向代谢组学来探索米他匹伐在剂量探索期进行 8 周治疗的总体代谢效应。在10名SCD患者和42名健康对照组(HCs)的全血干血斑中,共鉴定出1773种独特的代谢物。与健康对照组相比,SCD 患者的代谢表型显示基线时有 139/1773 个(7.8%)代谢物发生了改变(经假发现率调整的 p p
Metabolic blood profile and response to treatment with the pyruvate kinase activator mitapivat in patients with sickle cell disease
Mitapivat 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.
期刊介绍:
HemaSphere, as a publication, is dedicated to disseminating the outcomes of profoundly pertinent basic, translational, and clinical research endeavors within the field of hematology. The journal actively seeks robust studies that unveil novel discoveries with significant ramifications for hematology.
In addition to original research, HemaSphere features review articles and guideline articles that furnish lucid synopses and discussions of emerging developments, along with recommendations for patient care.
Positioned as the foremost resource in hematology, HemaSphere augments its offerings with specialized sections like HemaTopics and HemaPolicy. These segments engender insightful dialogues covering a spectrum of hematology-related topics, including digestible summaries of pivotal articles, updates on new therapies, deliberations on European policy matters, and other noteworthy news items within the field. Steering the course of HemaSphere are Editor in Chief Jan Cools and Deputy Editor in Chief Claire Harrison, alongside the guidance of an esteemed Editorial Board comprising international luminaries in both research and clinical realms, each representing diverse areas of hematologic expertise.