Chronic Myeloproliferative neoplasms (MPNs), such as polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF), are defined by clonal myeloid proliferation . Thrombotic events are the leading cause of morbidity and mortality in these patients . Traditional cardiovascular risk factors (CVRFs) critically exacerbate disease severity, accelerate progression to overt myelofibrosis, and significantly reduce overall survival .
Metabolic syndrome components overlap substantially with MPNs; in PV, hypertension affects 39-70%, dyslipidemia 15-38%, diabetes 7-16%, and obesity 7.5% . Epidemiological evidence demonstrates that these factors are independent predictors of arterial and venous thrombosis . while obesity is significantly linked to ET and exacerbates total symptom burden .
The mechanistic link between Metabolic syndrome and MPNs involves the JAK2V617F mutation, which induces constitutive JAK/STAT signaling and alters both lipid and glucose metabolism . MPN clones exhibit a high dependence on glucose, marked by upregulated glycolysis, elevated oxidative phosphorylation, and increased PFKFB3 expression . This metabolic reprogramming, combined with chronic systemic inflammation, cytokine overproduction, and oxidative stress, promotes severe endothelial dysfunction, accelerated atherogenesis, and hypercoagulability .
Current literature assessing different components of Metabolic syndrome in MPNs is limited by methodological gaps, often relying on retrospective data lacking comprehensive baseline metabolic parameters . Therefore, rigorous case-control designs with robust statistical extraction are required. Utilizing standard statistical software environments to perform multivariate adjustments is crucial to properly control for disease heterogeneity.