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临床试验/NCT07814560
NCT07814560尚未招募不适用

Metabolic Syndrome and Risk of Chronic Philadelphia Negative Myeloproliferative Neoplasms

Assiut University0 个研究点目标入组 313 人开始时间: 2026年12月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
313
主要终点
relation of metabolic syndrome to clinical course chronic Philadelphia negative Myeloproliferative Neoplasms

研究概览

简要总结

Studying the role of metabolic syndrome in chronic Myeloproliferative neoplasms (MPNs)

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • chronic Philadelphia negative Myeloproliferative Neoplasms

排除标准

  • remission

研究组 & 干预措施

eligible patients already diagnosed with chronic Philadelphia negative Myeloproliferative Neoplasms

metabolic syndrome

结局指标

主要结局

relation of metabolic syndrome to clinical course chronic Philadelphia negative Myeloproliferative Neoplasms

时间窗: 6 months

relation of metabolic syndrome to clinical course chronic Philadelphia negative Myeloproliferative Neoplasms

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Mohammad Hasan Mohammad AbdEllah-Alawi

Lecturer

Assiut University

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