Journal of Clinical InvestigationCancer BiologyPeer-reviewed journal article
Multiomic Profiling Reveals Metabolic Alterations Mediating Aberrant Platelet Activity and Inflammation in Myeloproliferative Neoplasms
F. He, A. B. A. Laranjeira, t. kong, A. Liu, K. Bark, N. M. Lasky, D. A. C. Fisher, M. J. Cox, M. Fulbright, L. A. Heck, L. Yu, S. M. Sykes, A. DAlessandro, J. Di Paola, S. Oh
Abstract
Platelets from patients with myeloproliferative neoplasms (MPNs) exhibit a hyperreactive phenotype. Here, we found elevated P-selectin exposure and platelet-leukocyte aggregates indicating activation of platelets from essential thrombocythemia (ET) patients. Single cell RNA-seq analysis of primary samples revealed significant enrichment of transcripts related to platelet activation, mTOR and oxidative phosphorylation (OXPHOS) in ET patient platelets. These observations were validated via proteomic profiling. Platelet metabolomics revealed distinct metabolic phenotypes consisting of elevated ATP generation, accompanied by increases in the levels of multiple intermediates of the tricarboxylic acid (TCA) cycle, but lower alpha-ketoglutarate (-KG) in MPN patients. Inhibition of PI3K/AKT/mTOR signaling significantly reduced metabolic responses and hyperreactivity in MPN patient platelets, while -KG supplementation markedly reduced oxygen consumption and ATP generation. Ex vivo incubation of platelets from both MPN patients and Jak2 V617F mice with -KG significantly reduced platelet activation responses. Oral -KG supplementation of Jak2 V617F mice decreased splenomegaly and reduced hematocrit, monocyte and platelet counts. Finally, -KG incubation significantly decreased proinflammatory cytokine secretion from MPN CD14+ monocytes. Our results reveal a previously unrecognized metabolic disorder in conjunction with aberrant PI3K/AKT/mTOR signaling, contributing to platelet hyperreactivity in MPN patients.
- organism: human
- assay: scRNA-seq
- assay: proteomics
- assay: metabolomics
- research focus: metabolism & bioenergetics
- research focus: cell signaling & trafficking
- approach: statistical model
- approach: experimental assay
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