Review Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Oncol. Jun 24, 2024; 15(6): 717-729
Published online Jun 24, 2024. doi: 10.5306/wjco.v15.i6.717
Overview of dyslipidemia and metabolic syndrome in myeloproliferative neoplasms
Mihnea-Alexandru Găman, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, Bucharest 050474, Romania
Mihnea-Alexandru Găman, Department of Hematology, Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, Bucharest 022328, Romania
Mihnea-Alexandru Găman, Department of Cellular and Molecular Pathology, Stefan S Nicolau Institute of Virology, Romanian Academy, Bucharest 030304, Romania
Bahadar Singh Srichawla, Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, United States
Yong-Feng Chen, Department of Basic Medical Sciences, School of Medicine of Taizhou University, Taizhou University, Taizhou 318000, Zhejiang Province, China
Poulami Roy, Department of Medicine, North Bengal Medical College and Hospital, West Bengal 734012, India
Arkadeep Dhali, Academic Department of Gastroenterology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S5 7AU, United Kingdom
Ahmed Nahian, Lecom at Seton Hill, Greensburg, PA 15601, United States
Muhammad Romail Manan, Faculty of Medicine, Services Hospital, Lahore 54000, Pakistan
Vincent Kipkorir, Department of Human Anatomy and Physiology, University of Nairobi, Nairobi 00100, Kenya
Richard Christian Suteja, Faculty of Medicine, Udayana University, Denpasar, Bali 80361, Indonesia
Lakshmi Venkata Simhachalam Kutikuppala, Department of General Surgery, Dr. NTR University of Health Sciences, Vijayawada 520008, Andhra Pradesh, India
Amelia Maria Găman, Department of Pathophysiology, University of Medicine and Pharmacy of Craiova, Craiova 200349, Romania
Amelia Maria Găman, Clinic of Hematology, Filantropia City Hospital, Craiova 200143, Romania
Camelia Cristina Diaconu, Department of Internal Medicine, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, Bucharest 050474, Romania
Camelia Cristina Diaconu, Internal Medicine Clinic, Clinical Emergency Hospital of Bucharest, Bucharest 105402, Romania
ORCID number: Mihnea-Alexandru Găman (0000-0001-7133-8875); Bahadar Singh Srichawla (0000-0002-5301-4102); Arkadeep Dhali (0000-0002-1794-2569); Muhammad Romail Manan (0000-0002-3436-5206); Vincent Kipkorir (0000-0001-6946-8857); Lakshmi Venkata Simhachalam Kutikuppala (0000-0002-5685-6049); Amelia Maria Găman (0000-0001-6974-2772); Camelia Cristina Diaconu (0000-0001-6837-260X).
Author contributions: Găman MA contributed to the study conceptualization, data curation, funding acquisition, methodology, resources, validation, visualization, and software; Găman MA, Srichawla BS, Chen YF, Roy P, Dhali A, Nahian A, Manan MR, Kipkorir V, Suteja RC, and Simhachalam Kutikuppala LV contributed to the formal analysis, investigation, and writing of the original draft; Găman MA, Găman AM, and Diaconu CC contributed to the project administration and supervision; Găman MA, Srichawla BS, Găman AM, and Diaconu CC contributed to the writing, review, and editing.
Supported by the Grant Funded by Competitiveness Operational Programme A1.1.4. ID: P_37_798 MYELOAL-EDIAPROT (to Găman MA), No. 149/26.10.2016 (MySMIS2014+: 106774).
Conflict-of-interest statement: Dr. Găman reports grants from the Competitiveness Operational Programme A1.1.4. ID: P_37_798 MYELOAL-EDIAPROT, Grant Agreement No. 149/26.10.2016 (MySMIS2014+: 106774), during the conduct of the study. The other authors do not have any conflicts of interest to declare.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: Https://
Corresponding author: Amelia Maria Găman, Doctor, MD, PhD, Doctor, Professor, Department of Pathophysiology, University of Medicine and Pharmacy of Craiova, Petru Rareş No. 2, Craiova 200349, Romania.
Received: March 12, 2024
Revised: May 5, 2024
Accepted: May 28, 2024
Published online: June 24, 2024
Processing time: 103 Days and 14.6 Hours


Myeloproliferative neoplasms (MPNs) occur due to the abnormal proliferation of one or more terminal myeloid cell lines in peripheral blood. Subjects suffering from MPNs display a high burden of cardiovascular risk factors, and thrombotic events are often the cause of death in this population of patients. Herein, we provide a brief overview of dyslipidemia and metabolic syndrome and their epidemiology in MPNs and examine the common molecular mechanisms between dyslipidemia, metabolic syndrome, and MPNs, with a special focus on cardiovascular risk, atherosclerosis, and thrombotic events. Furthermore, we investigate the impact of dyslipidemia and metabolic syndrome on the occurrence and survival of thrombosis in MPN patients, as well as the management of dyslipidemia in MPNs, and the impact of MPN treatment on serum lipid concentrations, particularly as side/adverse effects reported in the context of clinical trials.

Key Words: Polycythemia vera, Essential thrombocythemia, Myelofibrosis, Cardiovascular disease, Hypercholesterolemia, Hypertriglyceridemia, Obesity, Diabetes, Inflammation, Oxidative stress

Core Tip: The topic of dyslipidemia in myeloproliferative neoplasms (MPNs) has only been superficially studied to date. Although it is well known that cardiovascular risk factors impact the management of MPNs and increase the risk of thrombosis which is the main cause of death in MPNs, most investigations have overlooked dyslipidemia as a significant contributor to thrombotic risk and to the risk of death in MPNs. Herein, we provide, to the best of our knowledge, the first overview of lipid abnormalities in MPNs.


Hematopoietic pluripotent stem cells (HPSCs) exhibit a remarkable capacity for self-renewal and undergo differentiation into myeloid or lymphoid lineages. This intricate hematopoietic process culminates in the emergence of various mature blood cells (BCs), which include red BCs (RBCs), lymphocytes, granulocytes, megakaryocytes, and macrophages. The orchestration of hematopoiesis is intricately governed by the complex interplay of the bone marrow microenvironment, growth factors, and transcriptional regulators[1].

Myeloproliferative neoplasms (MPNs) occur due to the abnormal proliferation of one or more terminal myeloid cell lines in peripheral blood. This results in the manifestation of a heterogeneous group of disorders. The initial term “myeloproliferative disorders,” originally introduced by William Dameshek in 1951, has been formally standardized and rephrased as “myeloproliferative neoplasms” by the World Health Organization in 2016[2].

Within the classification of MPNs, the updated document encompasses seven distinct subcategories: chronic myeloid leukemia, chronic neutrophilic leukemia, polycythemia vera (PV), primary myelofibrosis (PMF), essential thrombocythemia (ET), chronic eosinophilic leukemia-not otherwise specified and MPN, unclassifiable. Notably, it is imperative to highlight that mastocytosis no longer falls under the MPN category. This revised categorization represents a pivotal advance in the field, indicating a comprehensive and rigorous approach to classifying these complex disorders[2,3].

PV is a chronic myeloproliferative neoplastic disorder characterized by the uncontrolled production of RBCs, resulting in an elevated mass of RBCs. This condition often leads to concurrent stimulation of myeloid and megakaryocytic lineages, leading to increased production of white BCs and platelets. Pathophysiology involves abnormal hematopoietic cell clones with increased sensitivity to growth factors. Signs and symptoms such as headache, dizziness, claudication, and thrombosis arise due to increased blood viscosity. Subjects diagnosed with PV exhibit driver mutations in the Janus kinase 2 (JAK2) gene. In > 95% of cases, the JAK2V617F mutation is detected in exon 14 of the aforementioned gene, and the remaining 3%-4% of affected individuals exhibit mutations in exon 12 of the JAK2 gene[4,5]. Cytogenetic studies reveal abnormal karyotypes in about 34% of patients. PV affects all ethnic groups, with a higher incidence in men, and is usually diagnosed around 60-years-old[6]. In the United States, the overall incidence of PV between 2002 and 2016 was 1.57 (1.55-1.60) per 100000 person years, with fewer cases reported in Japan compared to the United States and Europe[6,7].

ET is another classical BCR-ABL1-negative MPN. It is characterized by excessive platelet production and megakaryocytic hyperplasia in the bone marrow. Initially identified in 1934 under the name “hemorrhagic thrombocythemia”, it was subsequently classified as MPN by Damesheck in 1951[8]. About 55% of patients with ET harbor the JAK2V617F point mutation[9,10]. ET is related to the development of vascular complications, for example, thrombosis and hemorrhage, which are associated with the presence of thrombocytosis, and there is a possibility of progression of the disease to secondary myelofibrosis (MF)[11,12]. ET is more prevalent among MPNs, affecting 1.0 to 2.5 individuals per 100000 yearly, with a higher incidence in females. The condition becomes more common with age, and most cases present between the ages of 50 and 60[13,14].

PMF is characterized by the clonal overproduction of myeloid cells originating from HPSCs. Although not always present, PMF often involves mutations in the JAK2, calreticulin, or myeloproliferative leukemia genes. Additional features include the abnormal presence of collagen fibrosis in the bone marrow, the dysregulated expression of inflammatory cytokines, anemia, hepatosplenomegaly, extramedullary hematopoiesis, constitutional symptoms, cachexia, the risk of progression to acute leukemia, and reduced life expectancy. The incidence of MF in the European Union varies between 0.3 and 1.9 per 100000 people, with an average of 1.1 per 100000[15]. In the United States, the annual incidence of MF is 1.33 per 100000[16]. In high-income countries of the European Union, the prevalence of MF ranges from 0.5 to 9 per 100000 per year[15]. The global prevalence of MF is approximately 1 per 100000 people[16].


Subjects suffering from MPNs exhibit a high burden of cardiovascular risk factors (CVRFs), thrombotic events often being the cause of death in this patient population[17-19]. In a recent publication by Seguro et al[20], the authors conducted a retrospective analysis of hemorrhagic and thrombotic events in a cohort of 334 Brazilian patients with Philadelphia-negative chronic MPNs. The study identified risk factors associated with thrombosis in these patients. The authors of the study used the revised International Prognostic Score in ET to classify patients into four risk categories using four variables: CVRFs, history of thrombosis, age > 60 years, and presence of the JAK2V617F mutation. However, CVRFs were not taken into account in the risk assessment of PV and MF in this study. Currently, thrombotic risk in PV is assessed using traditional classification, which classifies individuals as low- or high-risk based on their age (< or > 60 years) and history of thrombosis[20]. In the case of MF, there is currently no validated score to assess thrombotic risk. However, current evidence suggests that one or more CVRF, such as hypertension, diabetes, cigarette smoking, dyslipidemia, or obesity, may increase the risk of thrombosis in MPNs[21]. The previously agreed thrombotic risk classification models for PV and ET introduced an intermediate risk category in addition to the traditional high and low risk categories. This intermediate-risk category included patients under the age of 60 years of age with no history of thrombosis, but with the presence of CVRFs. However, this thrombotic risk classification model is not widely used in clinical practice[22].

Cerquozzi et al[23] conducted a study to investigate the association between CVRF and the onset of arterial or venous thrombotic complications in patients with MPNs at or after diagnosis[23]. The findings of their investigation revealed that dyslipidemia, age < 60 years, diabetes, normal karyotype, and hypertension were associated with the development of arterial events. On the other hand, female sex, a history of major hemorrhage, palpable splenomegaly, and age < 60 years were associated with thrombosis in the venous territories[23].

In a recent report by Barbui et al[24], hypertension in low-risk patients with PV was emphasized to increase the risk of arterial thrombosis[24]. Currently, for patients with PV or ET who are > 60 years of age and have one or more CVRF, cytoreductive therapy is not recommended. In the revised 2018 management recommendations for classical MPNs negative for BCR-ABL1 issued by European LeukemiaNet, Barbui et al[25] argued for the consideration of general risk factors for thrombosis, such as smoking consumption, diabetes mellitus, hypertension and hypercholesterolemia, in the management of MPNs[25].

Accurso et al[26] analyzed a cohort of 603 MPN patients who were followed from January 1997 to December 2019 to assess the frequency of CVRF in this population of patients[26]. They investigated the prevalence of smoking, hypertension, diabetes, dyslipidemia, and obesity in different disease subgroups, including 138 cases of overt PMF or post-ET/post-PV MF, 48 cases of prefibrotic PMF, 169 cases of PV, and 249 cases of ET. They also differentiated patients with a single CVRF from those with multiple CVRFs. The overall prevalence of CVRFs in the MPN cohort was 75.95%, with 40.63% of patients having only one CVRF and 35.32% having multiple risk factors. The median age of CVRF patients was 67.57 years, while those without CVRF had a median age of 53.98 years (P < 0.001). The high frequency of CVRF in MPNs raises important questions regarding prognosis and therapeutic decisions[26]. However, conclusive data on the impact of CVRFs on thrombotic risk in Philadelphia-negative chronic MPNs are lacking. Prospective studies are needed to determine the risk of thrombotic inflammation in patients with MPNs, both with and without CVRF. If it is demonstrated that CVRFs significantly increase thrombotic risk in MPNs, cytoreductive therapy may be warranted for these individuals. More research is needed to establish the exact relationship between cardiovascular and thrombotic risk in MPNs and inform appropriate therapeutic strategies.


Dyslipidemia and metabolic syndrome (MetS) remain some of the most common CVRFs in the general population. Dyslipidemia has traditionally been defined as alterations in serum cholesterol concentrations: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and/or high-density lipoprotein cholesterol (HDL-C) and/or triglycerides (TGs)[27]. However, recent evidence suggests that secondary lipid biomarkers, for example, lipoprotein(a), apolipoproteins, lipid subclasses, and/or subfractions, may provide additional information in terms of cardiovascular risk assessment[27-29]. Furthermore, the MetS which comprises the association in various levels of insulin resistance, hypertension, atherogenic dyslipidemia, and central obesity is also associated with the appearance of cardiovascular events[30].

The interplay of dyslipidemia, MetS, and obesity has been extensively studied not only in the field of cardiology but also by oncology researchers. Metabolic dysfunction has been particularly associated with the development and outcome of a myriad of solid cancers, as well as hematologic malignancies such as lymphoma, multiple myeloma, acute and chronic leukemias, as well as myelodysplastic syndromes and MPNs[31-33]. Furthermore, low concentrations of apolipoprotein A1 (hazard ratio [HR] = 1.59, 95% confidence interval [CI]: 1.22-2.08; P < 0.001] and/or high-density lipoprotein cholesterol (HR = 1.66, 95%CI: 1.22-2.26; P < 0.001) have been associated with an elevated risk of MPNs even after multiple comparisons were considered[33].

A recent cohort study that evaluated 1537 individuals diagnosed with JAK2V617F-positive MPNs reported that dyslipidemia is the second most common CVRF after hypertension in these disorders. Overall, 14.1% of the cases analyzed suffered from hyperlipidemia, which particularly affected PV (16.1%) and PMF (16%) rather than ET subjects (12%). Furthermore, MPN individuals who developed thrombotic events were more frequently described as dyslipidemia compared to those who were thrombosis-free (62.1% vs 37.9%; P < 0.0001). However, this investigation confirmed CVRFs as predictive factors of thrombotic complications in MPNs[34].

Similarly, Guglielmelli et al[35] highlighted that, in their cohort of 382 subjects with prefibrotic PMF, dyslipidemia (12%) was the third most common CVRF after hypertension (27%) and smoking (14%)[35]. Furthermore, dyslipidemia was the CVRF most frequently discovered (16%) after hypertension (42.2%) and diabetes (18.6%) in a cohort of 668 patients with PMF and MF post-PV/post-ET. Furthermore, the authors revealed a negative association between survival and the presence of dyslipidemia in MF (HR = 4.65, 95%CI: 3.11-6.95; P < 0.001) in the univariate analysis. However, multivariate Cox proportional hazard models failed to demonstrate their impact on survival[36]. Accurso et al[37] also confirmed that dyslipidemia is second among CVRF in people with PV (28.75%) and ET (24.89%) after hypertension based on data derived from a cohort of 403 MPN patients and that CVRFs are associated with an elevated risk of thrombotic events in MPNs[37]. Furthermore, Stein et al[38] highlighted that dyslipidemia was notably associated with a history of thrombotic events (odds ratio [OR] = 2.31, 95%CI: 1.00-5.34; P = 0.05) in MPN subjects who harbor the JAK2V617F mutation[38]. Another assessment indicated that CVRF (obesity, dyslipidemia, diabetes, hypertension, use of cigarettes) are predictors of thrombotic complications after MPN diagnosis (HR = 4.22, 95%CI: 2.00-8.92; P < 0.001)[39].

Horvat et al[40] analyzed a cohort of 258 MPN individuals who developed arterial and/or venous thrombosis and revealed that dyslipidemia was associated with the development of the aforementioned vascular events (OR = 3.5, 95%CI: 1.8-6.8; P < 0.001). However, dyslipidemia was more likely to be associated with the development of arterial (OR = 4.1, 95%CI: 2.0-8.3; P < 0.001) rather than venous (OR = 1.5, 95%CI: 0.5-4.5; P = 0.330) thrombotic complications[40]. When researchers analyzed thrombotic events by MPN subtype and site of thrombosis, dyslipidemia was only related to arterial but not venous thrombosis in ET (OR = 4.5, 95%CI: 1.6-12.6; P = 0.006) and PMF (OR = 6.1, 95%CI: 1.1-33.6; P = 0.046)[40]. Furthermore, a Japanese study indicated that elevated serum TG concentrations are positively associated with thrombotic events in ET (HR = 3.530, 95%CI: 1.630-7.643; P < 0.001), whereas elevated serum LDL-C concentrations were marginally associated with vascular events in ET (HR = 2.191, 95%CI: 0.966-4.971; P = 0.061) in the univariate model. Furthermore, elevated serum TG concentrations were the only CVRF associated with thrombosis in ET (HR = 3.364, 95%CI: 1.541-7.346; P = 0.002) in the multivariate model, while the role of elevated serum LDL-C concentrations warrants further investigation (HR = 2.046, 95%CI: 0.895-4.676; P = 0.09). More specifically, serum TG concentrations ≥ 106.19 mg/dL were associated with decreased thrombosis-free survival in patients with ET patients (HR = 2.592; P = 0.026)[41].

Košťál et al[42] analyzed data from the Czech MPN registry to identify risk factors for stroke and/or transient ischemic attack in anagrelide-treated MPNs, revealing that increased serum TC (34.6% vs 28.5%) and TG (30.6% vs 19.4%) concentrations were more frequent in MPN patients who developed cerebrovascular events vs those who did not. However, in the univariate and multivariate analysis, respectively, only hypertriglyceridemia emerged as a notable risk factor for cerebrovascular events (HR = 1.734, 95%CI: 1.162-2.586; P = 0.008) whereas hypercholesterolemia did not impact the onset of these complications. Furthermore, hypertriglyceridemia and not hypercholesterolemia remained a significant risk factor for cerebrovascular events even in MPN individuals who did not receive cytoreductive treatment (OR = 2.265, 95%CI: 1.188-4.318; P = 0.015)[42].

It is well established that patients with MPNs experience an elevated occurrence of vascular complications. In the largest epidemiological study on PV, CVRFs such as nonhemorrhagic stroke, congestive heart failure, coronary heart disease, and pulmonary embolism contributed to 41% of all deaths[43]. Nonfatal thrombosis occurred at a rate of 3.8 events per year per 100 persons[44]. Similarly, in patients with ET, the rate of thrombosis ranges from 2% to 4% by patients years. One of these thrombotic complications of particular interest due to its severity is splanchnic vein thrombosis. Other microcirculatory thrombosis can also occur that results in vascular headaches, dizziness, visual impairment, distal paresthesia, and erythromelalgia[43].

Multivariate analyses of CVRFs such as dyslipidemia, hypertension, diabetes, and smoking, which investigated the impact on the occurrence of thrombosis in MPNs, have produced conflicting results. Some authors have reported that these risk factors do not influence vascular complications in MPNs, while others propose that the existence of these risks may elevate a low-risk patient to high-risk ED. In the recent International Prognostic Score of ET thrombosis score, the CVRFs mentioned above were independent variables influencing the rate of thrombosis[43,44]. However, data from a Japanese ET registry that included 1232 subjects of whom 17.6% exhibited elevated LDL-C and 8.4% elevated TG concentrations, respectively, suggests that dyslipidemia is not a predictor of survival in ET, however, hypertriglyceridemia significantly predicted thrombosis-free survival (HR = 3.018, 95%CI: 1.644-5.540; P < 0.001). Elevated LDL-C marginally predicted (HR = 1.722, 95%CI: 0.979-3.029; P = 0.059) thrombosis-free survival, which warrants investigating this potential thrombotic risk factor in future assessments[45]. CVRFs also appear to be associated with recurrent thrombosis in ET (OR = 3.148, 95%CI: 1.414-7.010; P = 0.005); however, the prevalence of dyslipidemia was similar between patients with/without recurrent thrombotic events[46].

Interestingly, in a multicentric Italian cohort that recruited 816 subjects with PV of whom a number of 44 individuals eventually progressed to secondary MF (post-VV), overweight and/or obese PV patients had reduced chances of developing post-VV MF (HR = 0.38, 95%CI = 0.15-0.94; P = 0.04) and, in addition, experienced elevated survival rates (HR = 0.42, 95%CI: 0.18-0.97; P = 0.04)[47]. However, it seems that MPN patients who also suffer from obesity show an increased burden of symptoms and a reduced quality of life compared to normal weight MPN subjects[48]. This indicates that the perception of people living with MPNs about their quality of life and total symptom burden is also modeled by their cardiovascular comorbidities and increased symptom scores or reduced quality of life scores are not always indicative of disease progression[48,17]. However, Aswad et al[49] reported that obesity does not impact the overall rate of thrombotic events or recurrent thrombosis, nor the rates of arterial/vein thrombosis or microvascular disturbances in MPNs and that hereditary thrombophilia is more likely to contribute to the development of thrombotic complications (OR = 2.26; P = 0.007) and in particular arterial thrombosis (OR = 2.04; P = 0.046) vs CVRF[49].

Table 1 summarizes the most relevant findings regarding the interplay between dyslipidemia and/other metabolic disturbances and thrombosis in MPNs.

Table 1 Relevant results on the interaction between dyslipidemia and other metabolic disturbances and thrombosis or other factors in myeloproliferative neoplasm.
Study sample
MPN subtypes
Main findings
Pedersen et al[33]116728Not specified↓ Apolipoprotein A1 (HR = 1.59, 95%CI: 1.22-2.08; P < 0.001) = ↑ risk of MPNs
Pedersen et al[33]116728Not specified↓ HDL-C (HR = 1.66, 95%CI: 1.22-2.26; P < 0.001) = ↑ risk of MPNs
Zhang et al[34]1537PV, ET, PMF↑ Rates of dyslipidemia in MPNs individuals with thrombotic events vs thrombosis-free (62.1% vs 37.9%; P < 0.0001)
et al[36]
668PMF, post-PV MF, post-ET MFNegative association of survival and dyslipidemia in MF (HR = 4.65, 95%CI: 3.11-6.95; P < 0.001)
Stein et al[38]164PV, ET, PMFAssociation of dyslipidemia and history of thrombotic events (OR = 2.31, 95%CI: 1.00-5.34; P = 0.05) in JAK2V617F-positive MPNs
Gu et al[39]567PVCVRFs (including dyslipidemia) = predictors of thrombosis after MPN diagnosis (HR = 4.22, 95%CI: 2.00-8.92; P < 0.001)
Horvat et al[40]258PV, ET, PMFAssociation between dyslipidemia and vascular events (OR = 3.5, 95%CI: 1.8-6.8; P < 0.001), arterial thrombosis (OR = 4.1, 95%CI: 2.0-8.3; P < 0.001), venous thrombosis (OR = 1.5, 95%CI: 0.5-4.5; P = 0.330), arterial thrombosis in ET (OR = 4.5, 95%CI: 1.6-12.6; P = 0.006), and PMF (OR = 6.1, 95%CI: 1.1-33.6; P = 0.046)
Furuya et al[41]580ET↑ TG positively associated with thrombotic events in ET (HR = 3.530, 95%CI: 1.630-7.643; P < 0.001)
Furuya et al[41]580ETLDL-C concentrations marginally associated with vascular events in ET (HR = 2.191, 95%CI: 0.966-4.971; P = 0.061)
Furuya et al[41]580ET↑ TG = only CVRF associated with thrombosis in ET (HR = 3.364, 95%CI: 1.541-7.346; P = 0.002)
Furuya et al[41]580ETTG ≥ 106.19 mg/dL = ↓ thrombosis-free survival in ET (HR = 2.592; P = 0.026)
Košťál et al[42]1142PV, ET, PMFHypertriglyceridemia not hypercholesterolemia = RF for cerebrovascular events (HR = 1.734, 95%CI: 1.162-2.586; P = 0.008)
Košťál et al[42]1142PV, ET, PMFHypertriglyceridemia and not hypercholesterolemia = RF for cerebrovascular events in MPNs without cytoreductive treatment (OR = 2.265, 95%CI: 1.188-4.318; P = 0.015)
Hashimoto et al[45]1152ETHypertriglyceridemia predicts thrombosis-free survival (HR = 3.018, 95%CI: 1.644-5.540; P < 0.001)
Hashimoto et al[45]1152ET↑ LDL-C marginally predicts thrombosis-free survival (HR = 1.722, 95%CI: 0.979-3.029; P = 0.059)
Benevolo et al[47]816PVoverweight/obese PV = ↓ post-PV MF rates (HR = 0.38, 95%CI = 0.15-0.94; P = 0.04)
Benevolo et al[47]816PVoverweight/obese PV = ↑ survival rates (HR = 0.42, 95%CI: 0.18-0.97; P = 0.04)
Christensen et al[48]3114PV, ET, PMFobesity + MPNs = ↑ symptom burden & ↓ QoL vs normal-weight MPNs

Patients with MPNs often have dyslipidemia and MetS, making their management a clinical challenge that requires a comprehensive and integrated approach. Dyslipidemia, characterized by an abnormal lipid profile, typically involves an increase in TC, LDL-C, and TG levels, along with a decrease in HDL-C levels, respectively. Dyslipidemia can contribute to the development of atherosclerosis and increase the risk of cardiovascular disease, and in patients with MPNs, it can trigger the onset of acute coronary syndromes[50,51].

In patients without MPNs, the treatment of dyslipidemia depends on lifestyle modifications, including diet adjustments, increased physical activity, and weight reduction. Currently, pharmacotherapy, primarily with statins, that is β-Hydroxy β-methylglutaryl-CoA reductase inhibitors, is used when lifestyle modifications are not sufficient. For most patients, the goal is to lower LDL-C levels to less than 100 mg/dL, while those at very high cardiovascular risk may need to target an LDL-C level of less than 70 mg/dL[52]. MetS is a cluster of metabolic conditions: elevated blood pressure, central obesity, elevated serum TG, elevated fasting blood glucose, and low HDL-C levels. Each component independently increases the risk of cardiovascular disease, type 2 diabetes, and all-cause mortality[53]. Treatment of MetS involves primarily targeting its components through lifestyle modifications and pharmacotherapy, as required.

The American Diabetes Association and the American Heart Association have established specific goals for metabolic control in patients with MetS. Targets include blood pressure less than 130/80 mmHg, fasting blood glucose less than 100 mg/dL, and hemoglobin levels A1C below 7.0%. Furthermore, the primary objective of treating dyslipidemia as part of MetS is to reduce LDL-C; however, if TG is 200 mg/dL or greater, a secondary goal is to decrease non-HDL-C by 30% to 50% of the baseline of the patient[54].

In the context of patients with MPNs, these metabolic disorders pose unique challenges. JAK2 gene mutations, a common feature in MPNs, can exacerbate metabolic dysregulation. These mutations are known to activate the JAK/signal transducer and activator of transcription signaling pathway, leading to the proliferation of hematopoietic cells. JAK2 is an essential component of the insulin receptor signaling pathway; upon binding of insulin to its receptor, JAK2 phosphorylates the insulin receptor, leading to downstream signaling events that facilitate glucose uptake[55]. Some studies have demonstrated that carriers of JAK2 gene mutations show increased insulin, hypoglycemia, and adipose tissue atrophy, reinforcing the link between this mutation and metabolic disorders[56]. Currently, there is growing evidence that JAK2 gene mutations can lead to altered lipid metabolism due to increased metabolic demand[57,58].

Furthermore, MPNs are associated with a pro-inflammatory state, which could affect insulin sensitivity and lipid metabolism through key homeostatic factors such as adiponectin, which warrants complete metabolic control[59]. Chronic inflammation is believed to contribute to the development of MetS through various mechanisms, including dysregulated adipocytokine production, increased insulin resistance, and direct effects on lipid metabolism[60,61].

MPN-directed therapies can also influence the metabolic profile of these patients. Ruxolitinib, a JAK1/2 inhibitor, is commonly used in the treatment of MPNs. This drug has been associated with weight gain and metabolic changes. Weight gain associated with ruxolitinib is believed to occur due to blocking leptin signaling in the brain leading to increased fat accumulation[62]. Furthermore, Mesa et al[63] detected elevated concentrations of TC and LDL-C in patients treated with ruxolitinib compared to pretreatment levels of TC/LDL-C in the same patient cohort[63]. Ruxolitinib has also been shown to increase systolic blood pressure after 72 wk of administration (P = 0.03)[64]. This underscores the need for routine metabolic monitoring and personalized therapeutic strategies in patients with MPNs in such therapies. The use of statins is beneficial in patients with MPNs. In a large population-based cohort study involving 876 patients with ET, Podoltsev et al[65] demonstrated improved patient survival using statin therapy[65]. Furthermore, a nationwide Danish case-control study demonstrated lower odds of being diagnosed with MPNs among statin users, alluding to the possible anti-neoplastic mechanisms of statin drugs[66]. The intricate interplay between MPNs, dyslipidemia, and MetS underscores the need for a comprehensive, multipronged approach to patient management. As our understanding of the biological connections between these conditions expands, we can expect to refine our therapeutic strategies further, ultimately improving patient outcomes.

Although the main objective of MPN treatment is to control the overproduction of one or more types of BCs, emerging research has shown that MPN treatments can have unintended impacts on serum lipid concentrations of patients, potentially leading to dyslipidemia and MetS[67]. Dyslipidemia, a condition characterized by an abnormal amount of lipids in the blood, and MetS, a group of conditions including increased blood pressure, high blood sugar, excess body fat around the waist, and abnormal TC or TG levels, have been increasingly reported as side effects of various MPN treatments. These adverse effects can significantly affect the quality of life of patients, and if left untreated, they can contribute to the development of cardiovascular disease, a leading cause of death among patients with MPNs[68]. An investigation led by Sung et al[69] reported that patients treated with ruxolitinib exhibited increased levels of LDL-C and decreased levels of HDL-C, a lipid profile commonly associated with an increased risk of atherosclerotic cardiovascular disease[69]. Interferon-alpha, another treatment prescribed for MPNs, has also been shown to induce changes in lipid profiles. Sun et al[70] observed that treatment with pegylated interferon-alpha resulted in lower HDL-C levels in patients with PV, supporting the hypothesis that interferon-alpha may lead to dyslipidemia and therefore increase cardiovascular risk in MPN patients[70].

It is important to note that MPN patients are already at increased risk of thrombosis due to the nature of the disease itself, and the addition of dyslipidemia and MetS can exacerbate this risk. The interplay between MPN treatment, lipid metabolism, and cardiovascular risk is complex and multifaceted. For example, MPN treatments may influence MetS development by inducing weight gain, a common side effect of JAK inhibitors such as ruxolitinib[62]. Furthermore, patients with MPNs often present with inflammation, which can also contribute to dyslipidemia and MetS. Chronic inflammation has been associated with insulin resistance, which is a key driver of MetS. MPN treatments such as ruxolitinib have potent anti-inflammatory effects, but can also affect metabolic homeostasis, leading to adverse metabolic effects[71].

Although these potential side effects are concerning, it is important to note that the benefits of MPN therapy, including control of disease symptoms and improvement in survival, often outweigh these risks. However, these findings highlight the need for regular monitoring of serum lipid profiles and metabolic parameters in patients undergoing MPN treatment. They also emphasize the importance of lifestyle modifications, including diet and physical activity, to counteract these potential side effects. It is crucial that clinicians consider the possible impact of MPN treatments on serum lipid concentrations, dyslipidemia, and MetS. By closely monitoring these parameters, early intervention and educating patients about lifestyle changes, clinicians can help mitigate the risk of cardiovascular disease and improve the overall quality of life for patients with MPNs.


Clonal hematopoiesis is the process of equipotential cloning of hematopoietic stem cells (HSCs) with the aim of providing the body with a sufficient number of HSCs, therefore regulating the amount of its derivatives within the body[72,73]. The process is similar to that of regular cell division. However, since gene replication is prone to errors due to DNA derangement and telomere shortening, the fact that cells with higher potency offer a larger range of expressed genes means that any mutations within the replicated DNA will be expressed more frequently[73,74]. At the same time, telomere shortening reduces the production of enzymes that delay cell senescence, apoptosis, and decrease susceptibility to genetic mutations[75-78]. Researchers reported a correlation between telomere shortening and decline in stem cell function as people age[75,76]. Another study inversely proved that mice overexpressing telomeres showed that mice with longer telomeres had delayed aging and increased cancer resistance[79].

As cells are always exposed to the environment, they continuously accumulate oxidative stress throughout their life[73]. Derangement may then be passed on to the next generation of cells: Causing transcription, translation, and proofreading to fail during DNA synthesis. This perpetuates to form a cycle where cells live to continuously accumulate derangements, only to be passed on later to the next generation of cells[73]. This explains why ‘degenerative’ diseases become more apparent as we age[73]. This process is called a somatic mutation, described as cellular level alteration in somatic tissues occurring after fertilization that does not involve the germline and consequently does not carry on to the offspring[80].

Exploring the root cause of DNA damage further, scientists have discovered that oxidative stress played a key role in causing derangements of the molecular composition within amino acids that form the DNA chain[80,81]. Oxidative stress occurs due to an imbalance between reactive oxygen and nitrogen species and antioxidants within the body[80-82]. It may be obtained internally as a byproduct of metabolism (which includes pathogen-caused inflammation) and externally from the environment. Eventually, these mutations can evolve from silent mutations into diseases deemed clinically significant[80-82].

However, the occurrence of thrombotic events, particularly in young people, should warrant screening for blood cancers and especially MPNs. Mayerhofer et al[83] highlighted that young individuals who experience episodes of stroke display a three-times elevated prevalence of clonal hematopoiesis of indeterminate potential mutations and several suffer from MPNs and eventually need of cytoreduction treatment. Furthermore, they defined that these patients express a higher burden of atherosclerosis and an elevated carotid intima media thickness, reinforcing that there is pronounced endothelial dysfunction in MPNs[83,84]. It is well known that dyslipidemia aggravates atherogenesis and is associated with inflammation, oxidative stress, cytokines, and other molecular messengers to promote atherosclerosis, including in subjects with MPNs[85-87]. We have learned from murine models that laboratory mice that express the JAK2V617F mutation and suffer from dyslipidemia exhibit a myriad of aberrant molecular mechanisms that aggravate atherosclerosis, namely macrophage erythrophagocytosis, increased lipid peroxidation, p38 mitogen-activated protein kinase signaling and concentrations of pro-inflammatory chemokines, RBC-derived microvesicles and cytokines, endothelial damage, defective efferocytosis, inflammasome overactivation, ferroptosis, decreased levels of c-Mer tyrosine kinase, and expansion of preleukemic HSCs[88-91]. ATP-binding cassette sub-family G member 1 and ATP binding cassette subfamily A member 1, i.e. adenosine triphosphate-binding cassette transporters, N-acetyl cysteine, fedratinib, HDL-C, and simvastatin seem to alleviate atherogenesis, myelopoiesis, and endothelial dysfunction in in vivo assessments of JAK2V617F-positive mice[90,92,93]. These findings have been confirmed by investigations conducted in MPN subjects, as Skov et al[94] pointed out that in MPNs, there is a dysregulation of several genes involved in the development of atherosclerosis, for example downregulation of B-cell lymphoma 2 (Bcl-2) and upregulation of matrix metalloproteinase 1, Bcl-2-like protein 1, thrombospondin-4, and prostaglandin-endoperoxide synthase 1 is in PV, ET, and PMF[94]. Moreover, elevated variant allele frequencies of JAK2V617F and neutrophil-to-lymphocyte ratios are associated with notable inflammation, arterial stiffness, and atherosclerosis in MPNs[95-97]. Furthermore, in subjects with atherosclerosis, dyslipidemia is associated with increased concentrations of platelet-derived growth factor and other cytokines which are molecules known to stimulate proliferation of myeloid cells, and peripheral arterial disease, a vascular complication driven by lipid abnormalities and atherogenesis, has been shown along with atrial fibrillation to be a notable predictor of thrombotic and bleeding complications, as well as death in MPNs[98,99]. Thus, the crosstalk between dyslipidemia, inflammation, and oxidative stress may stimulate a process of accelerated atherosclerosis in MPNs and eventually results in higher rates of thrombotic and, in some cases, hemorrhagic complications in these hematological malignancies (Figure 1)[100].

Figure 1
Figure 1 Schematic representation of the interplay among dyslipidemia, atherosclerosis, and myeloproliferative neoplasms, with a focus on the main pathogenetic mechanisms that drive the development of atherosclerosis. CHIP: Clonal hematopoiesis of indeterminate potential; HSC: Hematopoietic stem cells; MPNs: Myeloproliferative neoplasms.

Lipid abnormalities trigger the development of atherosclerosis and work together with oxidative stress, inflammation, genetics, and a conundrum of molecules to increase the risk of thrombosis in MPNs. In addition, several drugs used in the treatment of these blood cancers, such as ruxolitinib or interferon-alpha, may alter the lipid profiles of MPN subjects. Thus, the interaction between dyslipidemia and MPNs appears complex and requires in-depth research in future studies that should evaluate the impact of dyslipidemia as a unique and potentially deleterious CVRF in these hematologic malignancies.


Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Corresponding Author's Membership in Professional Societies: Romanian Society of Hematology; Romanian Society of Pathophysiology; Romanian College of Physicians; International Society of Pathophysiology.

Specialty type: Oncology

Country of origin: Romania

Peer-review report’s classification

Scientific Quality: Grade C

Novelty: Grade B

Creativity or Innovation: Grade C

Scientific Significance: Grade B

P-Reviewer: Cigrovski Berkovic M, Croatia S-Editor: Li L L-Editor: Filipodia P-Editor: Zhao YQ

1.  Ghiaur G, Jones RJ. Hematopoiesis. Concise Guide to Hematology. 2019;.  [PubMed]  [DOI]  [Cited in This Article: ]
2.  Barbui T, Thiele J, Gisslinger H, Kvasnicka HM, Vannucchi AM, Guglielmelli P, Orazi A, Tefferi A. The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussion. Blood Cancer J. 2018;8:15.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 252]  [Cited by in F6Publishing: 355]  [Article Influence: 59.2]  [Reference Citation Analysis (0)]
3.  Găman MA, Cozma MA, Dobrică EC, Crețoiu SM, Găman AM, Diaconu CC. Liquid Biopsy and Potential Liquid Biopsy-Based Biomarkers in Philadelphia-Negative Classical Myeloproliferative Neoplasms: A Systematic Review. Life (Basel). 2021;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 16]  [Article Influence: 5.3]  [Reference Citation Analysis (1)]
4.  Easwar A, Siddon AJ. Genetic Landscape of Myeloproliferative Neoplasms with an Emphasis on Molecular Diagnostic Laboratory Testing. Life (Basel). 2021;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 6]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
5.  Barbui T, Barosi G, Birgegard G, Cervantes F, Finazzi G, Griesshammer M, Harrison C, Hasselbalch HC, Hehlmann R, Hoffman R, Kiladjian JJ, Kröger N, Mesa R, McMullin MF, Pardanani A, Passamonti F, Vannucchi AM, Reiter A, Silver RT, Verstovsek S, Tefferi A; European LeukemiaNet. Philadelphia-negative classical myeloproliferative neoplasms: critical concepts and management recommendations from European LeukemiaNet. J Clin Oncol. 2011;29:761-770.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 552]  [Cited by in F6Publishing: 571]  [Article Influence: 43.9]  [Reference Citation Analysis (0)]
6.  Verstovsek S, Yu J, Scherber RM, Verma S, Dieyi C, Chen CC, Parasuraman S. Changes in the incidence and overall survival of patients with myeloproliferative neoplasms between 2002 and 2016 in the United States. Leuk Lymphoma. 2022;63:694-702.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 19]  [Article Influence: 6.3]  [Reference Citation Analysis (0)]
7.  Johansson P. Epidemiology of the myeloproliferative disorders polycythemia vera and essential thrombocythemia. Semin Thromb Hemost. 2006;32:171-173.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 62]  [Cited by in F6Publishing: 46]  [Article Influence: 2.6]  [Reference Citation Analysis (0)]
8.  Cervantes F. Management of essential thrombocythemia. Hematology Am Soc Hematol Educ Program. 2011;2011:215-221.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 37]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
9.  Tefferi A, Pardanani A. Myeloproliferative Neoplasms: A Contemporary Review. JAMA Oncol. 2015;1:97-105.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 202]  [Cited by in F6Publishing: 212]  [Article Influence: 23.6]  [Reference Citation Analysis (0)]
10.  Torres DG, Paes J, da Costa AG, Malheiro A, Silva GV, Mourão LPS, Tarragô AM. JAK2 Variant Signaling: Genetic, Hematologic and Immune Implication in Chronic Myeloproliferative Neoplasms. Biomolecules. 2022;12.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 6]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
11.  Moisa C, Gaman MA, Diaconu CC, Gaman AM. Oxidative Stress Levels, JAK2V617F Mutational Status and Thrombotic Complications in Patients with Essential Thrombocythemia. Rev Chim. 2019;70:2822-2825.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 14]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
12.  Wang D, Yu X, Sun Y, Lv Y, Li Y, Zhao P, Niu J, Zhang Y, Chen Y, Chen K, Chen Z, Liu W, Wang M, Hu X. Incidence of Thrombosis at Different Sites During the Follow-Up Period in Essential Thrombocythemia: A Systematic Review and Meta-Analysis. Clin Appl Thromb Hemost. 2023;29:10760296231181117.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
13.  Meier B, Burton JH. Myeloproliferative Disorders. Hematol Oncol Clin North Am. 2017;31:1029-1044.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 12]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
14.  Mehta J, Wang H, Iqbal SU, Mesa R. Epidemiology of myeloproliferative neoplasms in the United States. Leuk Lymphoma. 2014;55:595-600.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 135]  [Cited by in F6Publishing: 163]  [Article Influence: 14.8]  [Reference Citation Analysis (0)]
15.  Moulard O, Mehta J, Fryzek J, Olivares R, Iqbal U, Mesa RA. Epidemiology of myelofibrosis, essential thrombocythemia, and polycythemia vera in the European Union. Eur J Haematol. 2014;92:289-297.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 120]  [Cited by in F6Publishing: 145]  [Article Influence: 14.5]  [Reference Citation Analysis (0)]
16.  Hoffman R, Benz EJ, Silberstein LE, Heslop H, Weitz J, Salama ME, Abutalib SA.   Hematology: Basic principles and practice. 8th. Philadelphia, PA: Elsevier, 2018.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Găman MA, Kipkorir V, Srichawla BS, Dhali A, Găman AM, Diaconu CC. Primary Arterial Hypertension and Drug-Induced Hypertension in Philadelphia-Negative Classical Myeloproliferative Neoplasms: A Systematic Review. Biomedicines. 2023;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
18.  Hultcrantz M, Wilkes SR, Kristinsson SY, Andersson TM, Derolf ÅR, Eloranta S, Samuelsson J, Landgren O, Dickman PW, Lambert PC, Björkholm M. Risk and Cause of Death in Patients Diagnosed With Myeloproliferative Neoplasms in Sweden Between 1973 and 2005: A Population-Based Study. J Clin Oncol. 2015;33:2288-2295.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 79]  [Cited by in F6Publishing: 99]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
19.  Găman MA, Cozma MA, Manan MR, Srichawla BS, Dhali A, Ali S, Nahian A, Elton AC, Simhachalam Kutikuppala LV, Suteja RC, Diebel S, Găman AM, Diaconu CC. Budd-Chiari syndrome in myeloproliferative neoplasms: A review of literature. World J Clin Oncol. 2023;14:99-116.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 1.0]  [Reference Citation Analysis (3)]
20.  Seguro FS, Teixeira LLC, da Rosa LI, da Silva WF, Nardinelli L, Bendit I, Rocha V. Risk factors and incidence of thrombosis in a Brazilian cohort of patients with Philadelphia-negative myeloproliferative neoplasms. J Thromb Thrombolysis. 2020;49:667-672.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 4]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
21.  Moisă C, Găman M, Assani AD, Găman A. The evaluation of oxidative stress in patients with essential thrombocythemia treated with risk-adapted therapy. Arch Balk Med Union. 2018;53:529-534.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 5]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
22.  Finazzi G, Barbui T. Risk-adapted therapy in essential thrombocythemia and polycythemia vera. Blood Rev. 2005;19:243-252.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 46]  [Cited by in F6Publishing: 52]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
23.  Cerquozzi S, Barraco D, Lasho T, Finke C, Hanson CA, Ketterling RP, Pardanani A, Gangat N, Tefferi A. Risk factors for arterial vs venous thrombosis in polycythemia vera: a single center experience in 587 patients. Blood Cancer J. 2017;7:662.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 59]  [Cited by in F6Publishing: 85]  [Article Influence: 12.1]  [Reference Citation Analysis (0)]
24.  Barbui T, Masciulli A, Ghirardi A, Carobbio A. ACE inhibitors and cytoreductive therapy in polycythemia vera. Blood. 2017;129:1226-1227.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 8]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
25.  Barbui T, Tefferi A, Vannucchi AM, Passamonti F, Silver RT, Hoffman R, Verstovsek S, Mesa R, Kiladjian JJ, Hehlmann R, Reiter A, Cervantes F, Harrison C, Mc Mullin MF, Hasselbalch HC, Koschmieder S, Marchetti M, Bacigalupo A, Finazzi G, Kroeger N, Griesshammer M, Birgegard G, Barosi G. Philadelphia chromosome-negative classical myeloproliferative neoplasms: revised management recommendations from European LeukemiaNet. Leukemia. 2018;32:1057-1069.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 291]  [Cited by in F6Publishing: 364]  [Article Influence: 60.7]  [Reference Citation Analysis (0)]
26.  Accurso V, Santoro M, Mancuso S, Siragusa S. Cardiovascular risk factor in MPN patients. J Thromb Thrombolysis. 2020;50:640-641.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
27.  Berberich AJ, Hegele RA. A Modern Approach to Dyslipidemia. Endocr Rev. 2022;43:611-653.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 31]  [Cited by in F6Publishing: 108]  [Article Influence: 54.0]  [Reference Citation Analysis (0)]
28.  Santos HO, Kones R, Rumana U, Earnest CP, Izidoro LFM, Macedo RCO. Lipoprotein(a): Current Evidence for a Physiologic Role and the Effects of Nutraceutical Strategies. Clin Ther. 2019;41:1780-1797.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 25]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
29.  Santos HO, Earnest CP, Tinsley GM, Izidoro LFM, Macedo RCO. Small dense low-density lipoprotein-cholesterol (sdLDL-C): Analysis, effects on cardiovascular endpoints and dietary strategies. Prog Cardiovasc Dis. 2020;63:503-509.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 32]  [Cited by in F6Publishing: 40]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
30.  Fahed G, Aoun L, Bou Zerdan M, Allam S, Bouferraa Y, Assi HI. Metabolic Syndrome: Updates on Pathophysiology and Management in 2021. Int J Mol Sci. 2022;23.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 65]  [Cited by in F6Publishing: 363]  [Article Influence: 181.5]  [Reference Citation Analysis (0)]
31.  Karra P, Winn M, Pauleck S, Bulsiewicz-Jacobsen A, Peterson L, Coletta A, Doherty J, Ulrich CM, Summers SA, Gunter M, Hardikar S, Playdon MC. Metabolic dysfunction and obesity-related cancer: Beyond obesity and metabolic syndrome. Obesity (Silver Spring). 2022;30:1323-1334.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 36]  [Article Influence: 18.0]  [Reference Citation Analysis (0)]
32.  Bilgihan MT, Ciftciler R. The Effect of Obesity and Body Mass Index on Hematologic Malignancies. Metab Syndr Relat Disord. 2023;21:353-361.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 1]  [Reference Citation Analysis (0)]
33.  Pedersen KM, Çolak Y, Bojesen SE, Nordestgaard BG. Low high-density lipoprotein and increased risk of several cancers: 2 population-based cohort studies including 116,728 individuals. J Hematol Oncol. 2020;13:129.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 15]  [Cited by in F6Publishing: 38]  [Article Influence: 9.5]  [Reference Citation Analysis (0)]
34.  Zhang Y, Zhou Y, Wang Y, Teng G, Li D, Du C, Chen Y, Zhang H, Li Y, Fu L, Chen K, Bai J. Thrombosis among 1537 patients with JAK2(V617F) -mutated myeloproliferative neoplasms: Risk factors and development of a predictive model. Cancer Med. 2020;9:2096-2105.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 35]  [Article Influence: 8.8]  [Reference Citation Analysis (0)]
35.  Guglielmelli P, Carobbio A, Rumi E, De Stefano V, Mannelli L, Mannelli F, Rotunno G, Coltro G, Betti S, Cavalloni C, Finazzi MC, Thiele J, Cazzola M, Vannucchi AM, Barbui T. Validation of the IPSET score for thrombosis in patients with prefibrotic myelofibrosis. Blood Cancer J. 2020;10:21.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 33]  [Article Influence: 8.3]  [Reference Citation Analysis (0)]
36.  García-Fortes M, Hernández-Boluda JC, Álvarez-Larrán A, Raya JM, Angona A, Estrada N, Fox L, Cuevas B, García-Hernández MC, Gómez-Casares MT, Ferrer-Marín F, Saavedra S, Cervantes F, García-Delgado R, On Behalf Of The Grupo Español de Enfermedades Mieloproliferativas Filadelfia Negativas Gemfin. Impact of Individual Comorbidities on Survival of Patients with Myelofibrosis. Cancers (Basel). 2022;14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
37.  Accurso V, Santoro M, Mancuso S, Contrino AD, Casimiro P, Sardo M, Raso S, Di Piazza F, Perez A, Bono M, Russo A, Siragusa S. Cardiovascular Risk in Essential Thrombocythemia and Polycythemia Vera: Thrombotic Risk and Survival. Mediterr J Hematol Infect Dis. 2020;12:e2020008.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 11]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
38.  Stein BL, Rademaker A, Spivak JL, Moliterno AR. Gender and Vascular Complications in the JAK2 V617F-Positive Myeloproliferative Neoplasms. Thrombosis. 2011;2011:874146.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 40]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
39.  Gu W, Zhang Y, Sun T, Ju M, Liu X, Xue F, Chen Y, Liu W, Li H, Wang W, Chi Y, Yang R, Fu R, Bai J, Zhang L. Prediction of thrombosis in polycythemia vera: Development and validation of a multiple factor-based prognostic score system. Res Pract Thromb Haemost. 2023;7:100132.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
40.  Horvat I, Boban A, Zadro R, Antolic MR, Serventi-Seiwerth R, Roncevic P, Radman I, Sertic D, Vodanovic M, Pulanic D, Basic-Kinda S, Durakovic N, Zupancic-Salek S, Vrhovac R, Aurer I, Nemet D, Labar B. Influence of Blood Count, Cardiovascular Risks, Inherited Thrombophilia, and JAK2 V617F Burden Allele on Type of Thrombosis in Patients With Philadelphia Chromosome Negative Myeloproliferative Neoplasms. Clin Lymphoma Myeloma Leuk. 2019;19:53-63.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 14]  [Article Influence: 2.3]  [Reference Citation Analysis (0)]
41.  Furuya C, Hashimoto Y, Morishita S, Inano T, Ochiai T, Shirane S, Edahiro Y, Araki M, Ando M, Komatsu N. Reevaluation of cardiovascular risk factors for thrombotic events in 580 Japanese patients with essential thrombocythemia. J Thromb Thrombolysis. 2023;55:263-272.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Reference Citation Analysis (0)]
42.  Košťál M, Schwarz J, Ovesná P, Penka M, Dulíček P; for CZEMP-Czech Group for Ph- Myeloproliferative neoplasms. Ph(-) myeloproliferative neoplasms and the related risk factors for stroke occurrence: Results from a registry of patients treated with Anagrelide. J Thromb Thrombolysis. 2021;51:112-119.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
43.  Barbui T, Finazzi G, Falanga A. Myeloproliferative neoplasms and thrombosis. Blood. 2013;122:2176-2184.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 236]  [Cited by in F6Publishing: 254]  [Article Influence: 23.1]  [Reference Citation Analysis (0)]
44.  Marchioli R, Finazzi G, Landolfi R, Kutti J, Gisslinger H, Patrono C, Marilus R, Villegas A, Tognoni G, Barbui T. Vascular and neoplastic risk in a large cohort of patients with polycythemia vera. J Clin Oncol. 2005;23:2224-2232.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 470]  [Cited by in F6Publishing: 493]  [Article Influence: 25.9]  [Reference Citation Analysis (0)]
45.  Hashimoto Y, Ito T, Gotoh A, Nakamae M, Kimura F, Koike M, Kirito K, Wada H, Usuki K, Tanaka T, Mori T, Wakita S, Saito TI, Kada A, Saito AM, Shimoda K, Sugimoto Y, Kurokawa T, Tomita A, Edahiro Y, Akashi K, Matsumura I, Takenaka K, Komatsu N. Clinical characteristics, prognostic factors, and outcomes of patients with essential thrombocythemia in Japan: the JSH-MPN-R18 study. Int J Hematol. 2022;115:208-221.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
46.  Chen J, Dong H, Fu R, Liu X, Xue F, Liu W, Chen Y, Sun T, Ju M, Dai X, Li H, Wang W, Chi Y, Yang R, Zhang L. Machine learning analyses constructed a novel model to predict recurrent thrombosis in adults with essential thrombocythemia. J Thromb Thrombolysis. 2023;56:291-300.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
47.  Benevolo G, Elli EM, Bartoletti D, Latagliata R, Tiribelli M, Heidel FH, Cavazzini F, Bonifacio M, Crugnola M, Binotto G, D'Addio A, Tieghi A, Bergamaschi M, Caocci G, Polverelli N, Bossi E, Auteri G, Carmosino I, Catani L, Cuneo A, Krampera M, Lanza F, Lemoli RM, Vianelli N, Breccia M, Palumbo GA, Cavo M, Palandri F. Impact of comorbidities and body mass index on the outcome of polycythemia vera patients. Hematol Oncol. 2021;39:409-418.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 3]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
48.  Christensen SF, Scherber RM, Brochmann N, Goros M, Gelfond J, Andersen CL, Flachs EM, Mesa R. Body Mass Index and Total Symptom Burden in Myeloproliferative Neoplasms Discovery of a U-shaped Association. Cancers (Basel). 2020;12.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 7]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
49.  Aswad MH, Kissova J, Ovesna P, Penka M. Risk factors of thrombosis in a cohort of 206 patients with BCR-ABL1 negative myeloproliferative neoplasms. Neoplasma. 2021;68:1341-1350.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
50.  Grundy SM. Hypertriglyceridemia, atherogenic dyslipidemia, and the metabolic syndrome. Am J Cardiol. 1998;81:18B-25B.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 351]  [Cited by in F6Publishing: 366]  [Article Influence: 14.1]  [Reference Citation Analysis (0)]
51.  Manan MR, Kipkorir V, Nawaz I, Waithaka MW, Srichawla BS, Găman AM, Diaconu CC, Găman MA. Acute myocardial infarction in myeloproliferative neoplasms. World J Cardiol. 2023;15:571-581.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
52.  Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O; ESC Scientific Document Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41:111-188.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4558]  [Cited by in F6Publishing: 4217]  [Article Influence: 1054.3]  [Reference Citation Analysis (0)]
53.  Grundy SM. Metabolic syndrome update. Trends Cardiovasc Med. 2016;26:364-373.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 397]  [Cited by in F6Publishing: 517]  [Article Influence: 57.4]  [Reference Citation Analysis (0)]
54.  American Diabetes Association. 3. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44:S34-S39.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 97]  [Cited by in F6Publishing: 102]  [Article Influence: 34.0]  [Reference Citation Analysis (0)]
55.  Ge D, Gooljar SB, Kyriakou T, Collins LJ, Swaminathan R, Snieder H, Spector TD, O'Dell SD. Association of common JAK2 variants with body fat, insulin sensitivity and lipid profile. Obesity (Silver Spring). 2008;16:492-496.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 12]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
56.  Rao TN, Hansen N, Hilfiker J, Rai S, Majewska JM, Leković D, Gezer D, Andina N, Galli S, Cassel T, Geier F, Delezie J, Nienhold R, Hao-Shen H, Beisel C, Di Palma S, Dimeloe S, Trebicka J, Wolf D, Gassmann M, Fan TW, Lane AN, Handschin C, Dirnhofer S, Kröger N, Hess C, Radimerski T, Koschmieder S, Čokić VP, Skoda RC. JAK2-mutant hematopoietic cells display metabolic alterations that can be targeted to treat myeloproliferative neoplasms. Blood. 2019;134:1832-1846.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 41]  [Cited by in F6Publishing: 43]  [Article Influence: 8.6]  [Reference Citation Analysis (0)]
57.  Kleppe M, Kwak M, Koppikar P, Riester M, Keller M, Bastian L, Hricik T, Bhagwat N, McKenney AS, Papalexi E, Abdel-Wahab O, Rampal R, Marubayashi S, Chen JJ, Romanet V, Fridman JS, Bromberg J, Teruya-Feldstein J, Murakami M, Radimerski T, Michor F, Fan R, Levine RL. JAK-STAT pathway activation in malignant and nonmalignant cells contributes to MPN pathogenesis and therapeutic response. Cancer Discov. 2015;5:316-331.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 201]  [Cited by in F6Publishing: 237]  [Article Influence: 26.3]  [Reference Citation Analysis (0)]
58.  Sharma V, Wright KL, Epling-Burnette PK, Reuther GW. Metabolic Vulnerabilities and Epigenetic Dysregulation in Myeloproliferative Neoplasms. Front Immunol. 2020;11:604142.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
59.  Dalamaga M, Christodoulatos GS. Adiponectin as a biomarker linking obesity and adiposopathy to hematologic malignancies. Horm Mol Biol Clin Investig. 2015;23:5-20.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 18]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
60.  Repsold L, Joubert AM. Platelet Function, Role in Thrombosis, Inflammation, and Consequences in Chronic Myeloproliferative Disorders. Cells. 2021;10.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 21]  [Article Influence: 7.0]  [Reference Citation Analysis (0)]
61.  Shoelson SE, Lee J, Goldfine AB. Inflammation and insulin resistance. J Clin Invest. 2006;116:1793-1801.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2726]  [Cited by in F6Publishing: 2901]  [Article Influence: 161.2]  [Reference Citation Analysis (0)]
62.  Mollé N, Krichevsky S, Kermani P, Silver RT, Ritchie E, Scandura JM. Ruxolitinib can cause weight gain by blocking leptin signaling in the brain via JAK2/STAT3. Blood. 2020;135:1062-1066.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 5]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
63.  Mesa RA, Verstovsek S, Gupta V, Mascarenhas JO, Atallah E, Burn T, Sun W, Sandor V, Gotlib J. Effects of ruxolitinib treatment on metabolic and nutritional parameters in patients with myelofibrosis from COMFORT-I. Clin Lymphoma Myeloma Leuk. 2015;15:214-221.e1.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 42]  [Cited by in F6Publishing: 52]  [Article Influence: 5.2]  [Reference Citation Analysis (0)]
64.  Sapre M, Tremblay D, Wilck E, James A, Leiter A, Coltoff A, Koshy AG, Kremyanskaya M, Hoffman R, Mascarenhas JO, Gallagher EJ. Metabolic Effects of JAK1/2 Inhibition in Patients with Myeloproliferative Neoplasms. Sci Rep. 2019;9:16609.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 8]  [Article Influence: 1.6]  [Reference Citation Analysis (0)]
65.  Podoltsev N, Zhu M, Wang R, Zeidan AM, Wang X, Huntington SF, Giri S, Davidoff AJ, Gore SD, Ma X. Use of Statins, Survival and Incidence of Thrombosis Among Older Adults with Essential Thrombocythemia: A Population-Based Study. Blood. 2018;132:4865-4865.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.2]  [Reference Citation Analysis (0)]
66.  Tuyet Kristensen D, Kisbye Øvlisen A, Hjort Kyneb Jakobsen L, Tang Severinsen M, Hannig LH, Starklint J, Hagemann Hilsøe M, Pommer Vallentin A, Brabrand M, Hasselbalch HC, El-Galaly TC, Stidsholt Roug A. Use of statins and risk of myeloproliferative neoplasms: a Danish nationwide case-control study. Blood Adv. 2023;7:3450-3457.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
67.  Simpson-Poirier K, Harnois M, Olney HJ, Sirhan S, Gratton MO, Assouline S, Laneuville P, Delage R, Mollica L, Busque L, Szuber N. Risk of infection in MPN patients in the era of Covid-19: A prospective multicenter study of 257 patients from the CML-MPN Quebec Research Group. Am J Hematol. 2021;96:E200-E203.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 2]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
68.  Gao H, Wang H, Shan G, Liu R, Chen H, Sun S, Liu Y. Prevalence of dyslipidemia and associated risk factors among adult residents of Shenmu City, China. PLoS One. 2021;16:e0250573.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 9]  [Article Influence: 3.0]  [Reference Citation Analysis (0)]
69.  Sung KC, Huh JH, Ryu S, Lee JY, Scorletti E, Byrne CD, Kim JY, Hyun DS, Ko SB. Low Levels of Low-Density Lipoprotein Cholesterol and Mortality Outcomes in Non-Statin Users. J Clin Med. 2019;8.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 18]  [Cited by in F6Publishing: 28]  [Article Influence: 5.6]  [Reference Citation Analysis (0)]
70.  Sun Y, Cai Y, Cen J, Zhu M, Pan J, Wang Q, Wu D, Chen S. Pegylated Interferon Alpha-2b in Patients With Polycythemia Vera and Essential Thrombocythemia in the Real World. Front Oncol. 2021;11:797825.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
71.  Chen L, Deng H, Cui H, Fang J, Zuo Z, Deng J, Li Y, Wang X, Zhao L. Inflammatory responses and inflammation-associated diseases in organs. Oncotarget. 2018;9:7204-7218.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2209]  [Cited by in F6Publishing: 2202]  [Article Influence: 367.0]  [Reference Citation Analysis (0)]
72.  Watson CJ, Papula AL, Poon GYP, Wong WH, Young AL, Druley TE, Fisher DS, Blundell JR. The evolutionary dynamics and fitness landscape of clonal hematopoiesis. Science. 2020;367:1449-1454.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 268]  [Cited by in F6Publishing: 236]  [Article Influence: 59.0]  [Reference Citation Analysis (0)]
73.  Marnell CS, Bick A, Natarajan P. Clonal hematopoiesis of indeterminate potential (CHIP): Linking somatic mutations, hematopoiesis, chronic inflammation and cardiovascular disease. J Mol Cell Cardiol. 2021;161:98-105.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 87]  [Article Influence: 29.0]  [Reference Citation Analysis (1)]
74.  Rodríguez-Rodero S, Fernández-Morera JL, Menéndez-Torre E, Calvanese V, Fernández AF, Fraga MF. Aging genetics and aging. Aging Dis. 2011;2:186-195.  [PubMed]  [DOI]  [Cited in This Article: ]
75.  Blackburn EH, Greider CW, Szostak JW. Telomeres and telomerase: the path from maize, Tetrahymena and yeast to human cancer and aging. Nat Med. 2006;12:1133-1138.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 666]  [Cited by in F6Publishing: 649]  [Article Influence: 36.1]  [Reference Citation Analysis (0)]
76.  Greenwood MJ, Lansdorp PM. Telomeres, telomerase, and hematopoietic stem cell biology. Arch Med Res. 2003;34:489-495.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 42]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
77.  Salpea KD, Talmud PJ, Cooper JA, Maubaret CG, Stephens JW, Abelak K, Humphries SE. Association of telomere length with type 2 diabetes, oxidative stress and UCP2 gene variation. Atherosclerosis. 2010;209:42-50.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 208]  [Cited by in F6Publishing: 212]  [Article Influence: 15.1]  [Reference Citation Analysis (0)]
78.  von Zglinicki T. Oxidative stress shortens telomeres. Trends Biochem Sci. 2002;27:339-344.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1746]  [Cited by in F6Publishing: 1776]  [Article Influence: 80.7]  [Reference Citation Analysis (0)]
79.  Tomás-Loba A, Flores I, Fernández-Marcos PJ, Cayuela ML, Maraver A, Tejera A, Borrás C, Matheu A, Klatt P, Flores JM, Viña J, Serrano M, Blasco MA. Telomerase reverse transcriptase delays aging in cancer-resistant mice. Cell. 2008;135:609-622.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 325]  [Cited by in F6Publishing: 295]  [Article Influence: 18.4]  [Reference Citation Analysis (0)]
80.  Miles B, Tadi P.   Genetics, Somatic Mutation. 2023 Apr 17. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-.  [PubMed]  [DOI]  [Cited in This Article: ]
81.  Liguori I, Russo G, Curcio F, Bulli G, Aran L, Della-Morte D, Gargiulo G, Testa G, Cacciatore F, Bonaduce D, Abete P. Oxidative stress, aging, and diseases. Clin Interv Aging. 2018;13:757-772.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1501]  [Cited by in F6Publishing: 1974]  [Article Influence: 329.0]  [Reference Citation Analysis (0)]
82.  Salisbury D, Bronas U. Reactive oxygen and nitrogen species: impact on endothelial dysfunction. Nurs Res. 2015;64:53-66.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 69]  [Cited by in F6Publishing: 89]  [Article Influence: 9.9]  [Reference Citation Analysis (0)]
83.  Mayerhofer E, Strecker C, Becker H, Georgakis MK, Uddin MM, Hoffmann MM, Nadarajah N, Meggendorfer M, Haferlach T, Rosand J, Natarajan P, Anderson CD, Harloff A, Hoermann G. Prevalence and Therapeutic Implications of Clonal Hematopoiesis of Indeterminate Potential in Young Patients With Stroke. Stroke. 2023;54:938-946.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 6]  [Reference Citation Analysis (0)]
84.  Kuznetsova PI, Raskurazhev AA, Konovalov RN, Krotenkova MV, Chechetkin AO, Lagoda OV, Melikhyan AL, Tanashyan MM. Covert Brain Infarcts in Patients with Philadelphia Chromosome-Negative Myeloproliferative Disorders. J Clin Med. 2021;11.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
85.  Xiang Q, Tian F, Xu J, Du X, Zhang S, Liu L. New insight into dyslipidemia-induced cellular senescence in atherosclerosis. Biol Rev Camb Philos Soc. 2022;97:1844-1867.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 24]  [Reference Citation Analysis (0)]
86.  Hasselbalch HC. Perspectives on chronic inflammation in essential thrombocythemia, polycythemia vera, and myelofibrosis: is chronic inflammation a trigger and driver of clonal evolution and development of accelerated atherosclerosis and second cancer? Blood. 2012;119:3219-3225.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 195]  [Cited by in F6Publishing: 208]  [Article Influence: 17.3]  [Reference Citation Analysis (0)]
87.  Baldini C, Moriconi FR, Galimberti S, Libby P, De Caterina R. The JAK-STAT pathway: an emerging target for cardiovascular disease in rheumatoid arthritis and myeloproliferative neoplasms. Eur Heart J. 2021;42:4389-4400.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 64]  [Article Influence: 21.3]  [Reference Citation Analysis (0)]
88.  Liu W, Östberg N, Yalcinkaya M, Dou H, Endo-Umeda K, Tang Y, Hou X, Xiao T, Fidler TP, Abramowicz S, Yang YG, Soehnlein O, Tall AR, Wang N. Erythroid lineage Jak2V617F expression promotes atherosclerosis through erythrophagocytosis and macrophage ferroptosis. J Clin Invest. 2022;132.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 27]  [Article Influence: 13.5]  [Reference Citation Analysis (0)]
89.  Wang W, Liu W, Fidler T, Wang Y, Tang Y, Woods B, Welch C, Cai B, Silvestre-Roig C, Ai D, Yang YG, Hidalgo A, Soehnlein O, Tabas I, Levine RL, Tall AR, Wang N. Macrophage Inflammation, Erythrophagocytosis, and Accelerated Atherosclerosis in Jak2 (V617F) Mice. Circ Res. 2018;123:e35-e47.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 89]  [Cited by in F6Publishing: 155]  [Article Influence: 31.0]  [Reference Citation Analysis (0)]
90.  Poisson J, Tanguy M, Davy H, Camara F, El Mdawar MB, Kheloufi M, Dagher T, Devue C, Lasselin J, Plessier A, Merchant S, Blanc-Brude O, Souyri M, Mougenot N, Dingli F, Loew D, Hatem SN, James C, Villeval JL, Boulanger CM, Rautou PE. Erythrocyte-derived microvesicles induce arterial spasms in JAK2V617F myeloproliferative neoplasm. J Clin Invest. 2020;130:2630-2643.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 29]  [Cited by in F6Publishing: 37]  [Article Influence: 12.3]  [Reference Citation Analysis (0)]
91.  Majeti R, Jamieson C, Pang WW, Jaiswal S, Leeper NJ, Wernig G, Weissman IL. Clonal Expansion of Stem/Progenitor Cells in Cancer, Fibrotic Diseases, and Atherosclerosis, and CD47 Protection of Pathogenic Cells. Annu Rev Med. 2022;73:307-320.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 1]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
92.  Yvan-Charvet L, Pagler T, Gautier EL, Avagyan S, Siry RL, Han S, Welch CL, Wang N, Randolph GJ, Snoeck HW, Tall AR. ATP-binding cassette transporters and HDL suppress hematopoietic stem cell proliferation. Science. 2010;328:1689-1693.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 528]  [Cited by in F6Publishing: 560]  [Article Influence: 40.0]  [Reference Citation Analysis (0)]
93.  Tang Y, Liu W, Wang W, Fidler T, Woods B, Levine RL, Tall AR, Wang N. Inhibition of JAK2 Suppresses Myelopoiesis and Atherosclerosis in Apoe(-/-) Mice. Cardiovasc Drugs Ther. 2020;34:145-152.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 31]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
94.  Skov V, Thomassen M, Kjaer L, Larsen MK, Knudsen TA, Ellervik C, Kruse TA, Hasselbalch HC. Whole blood transcriptional profiling reveals highly deregulated atherosclerosis genes in Philadelphia-chromosome negative myeloproliferative neoplasms. Eur J Haematol. 2023;111:805-814.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
95.  Solli CN, Chamat-Hedemand S, Elming H, Ngo A, Kjaer L, Skov V, Sørensen AL, Ellervik C, Hasselbalch H, Bruun NE. High JAK2V617F variant allele frequency is associated with coronary artery but not aortic valve calcifications in patients with Philadelphia-negative myeloproliferative neoplasms. Eur J Haematol. 2023;111:400-406.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
96.  Kwon SS, Yoon SY, Jeong SY, Lee MY, Kim KH, Lee N, Won JH. Neutrophil-lymphocyte ratio and carotid plaque burden in patients with essential thrombocythemia and polycythemia vera. Nutr Metab Cardiovasc Dis. 2022;32:1913-1916.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Reference Citation Analysis (0)]
97.  Anžič Drofenik A, Vrtovec M, Božič Mijovski M, Sever M, Preložnik Zupan I, Kejžar N, Blinc A. Progression of coronary calcium burden and carotid stiffness in patients with essential thrombocythemia associated with JAK2 V617F mutation. Atherosclerosis. 2020;296:25-31.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 3]  [Article Influence: 0.8]  [Reference Citation Analysis (0)]
98.  Jalkanen J, Hollmén M, Maksimow M, Jalkanen S, Hakovirta H. Serum cytokine levels differ according to major cardiovascular risk factors in patients with lower limb atherosclerosis. Cytokine. 2019;114:74-80.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 7]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
99.  Herbreteau L, Couturaud F, Hoffmann C, Bressollette L, Pan-Petesch B, Rio L, Lippert E, Ianotto JC. Atrial fibrillation and peripheral arterial disease define MPN patients with very high risk of thrombosis. Thromb Res. 2023;226:93-99.  [PubMed]  [DOI]  [Cited in This Article: ]  [Reference Citation Analysis (0)]
100.  Gaman AM, Moisa C, Diaconu CC, Gaman MA. Crosstalk between Oxidative Stress, Chronic Inflammation and Disease Progression in Essential Thrombocythemia. Rev Chim. 2019;70:3486-3489.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 20]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]