CCR5-Δ32 polymorphism is a genetic risk factor associated with dyslipidemia in patients with type 1 diabetes

Słomiński, Bartosz; Ławrynowicz, Urszula; Ryba-Stanisławowska, Monika; Skrzypkowska, Maria; Myśliwska, Jolanta; Myśliwiec, Małgorzata

doi:10.1016/j.cyto.2018.11.005

Cited by 11 publications

(9 citation statements)

References 33 publications

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“…The risk of complications from diabetes is also heritable: Diabetic kidney disease shows familial clustering, with diabetic siblings of patients with diabetic kidney disease having a 2-fold increased risk of also developing diabetic kidney disease. 70 Genetic variants have also been identified that increase the risk of CAD or dyslipidemia in patients with diabetes 71,72 and that are associated with end-organ complications in diabetes (retinopathy, 73 nephropathy, 74 and neuropathy 75 ). A GRS of type 2 diabetes variants was associated with diabetes-related retinopathy (OR of highest GRS decile compared with lowest GRS decile, 1.59 [95% CI, 1.44–1.77]), CKD (OR, 1.16 [95% CI, 1.07–1.26]), PAD (OR, 1.20 [95% CI, 1.11–1.29]), and neuropathy (OR, 1.21 [95% CI, 1.12–1.30]). 42 …”

Section: Family History and Geneticsmentioning

confidence: 99%

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

Tsao¹,

Aday²,

Almarzooq³

et al. 2022

Circulation

3,064

2,336

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Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). Methods: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year’s worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year’s edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. Results: Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. Conclusions: The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

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Section: Family History and Geneticsmentioning

confidence: 99%

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

Tsao¹,

Aday²,

Almarzooq³

et al. 2022

Circulation

3,064

2,336

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“… 12 , 31 Zhernakova et al 32 found that the RANTES rs2280788 G allele will lead to a slight up-regulation of its own expression level, but in this study, we did not find that the polymorphism of the RANTES rs2280788 gene in the Han population in Kunming affects the plasma RANTES level, which is similar to the research conclusion of Herder et al 33 Furthermore, there were no significant differences in genotype frequency and C/G allele frequency of RANTES rs2280788 between patients in the T2DM group and subjects in the NC group in Kunming Han population, suggesting that the polymorphism of the RANTES rs2280788 gene may not be related to the occurrence of T2DM. Studies in the German population 27 also did not find that the polymorphism of the RANTES rs2280788 gene was related to the appearance of diabetes. Yadav et al 34 showed that the frequency of the CCR5 59029 AA genotype in patients with T2DM was significantly higher than in healthy controls.…”

Section: Discussionmentioning

confidence: 89%

“…Hyde et al 26 showed that CCR5Δ32 mutation is associated with an increase in plasma HDL and a decrease in plasma TG, which means that the level of CCR5 may be negatively correlated with HDL and positively correlated with TG. Slominski et al 27 showed that CCR5Δ32 Mutants had higher levels of LDL, TG and lower levels of HDL, suggesting that the level of CCR5 may be negatively correlated with LDL, TG, and positively correlated with HDL. These studies also suggest that the expression level of CCR5 may affect the level of blood lipid and the interaction between them plays an important role in the occurrence and development of atherosclerosis in patients with diabetes.…”

Section: Discussionmentioning

confidence: 99%

Investigation of the Correlation Between the Polymorphism/Expression Level of RANTES and Its Receptor CCR5 Gene Promoter and Type 2 Diabetes Mellitus

Chen¹,

Guo²,

Yin³

et al. 2023

DMSO

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Background This study aimed to explore relationship among RANTES −28 (rs2280788) C/G polymorphism or CCR5 59029 (rs1799987) A/G polymorphism, level of self-expression, and type 2 diabetes mellitus (T2DM). Materials and Methods Clinical data were collected from 92 subjects with normal blood glucose (NC) and 97 patients with T2DM (DM). CCR5 levels on the surface of monocyte/lymphocyte and plasma RANTES levels were detected by flow cytometry. TaqMan real-time fluorescent quantitative PCR was used to detect genetic polymorphisms of RANTES rs2280788 and CCR5 rs1799987. Results There were no significant differences in frequencies of CCR5 rs1799987 genotype and A/G allele and frequencies of RANTES rs2280788 genotype and C/G allele, between subjects in NC and DM group ( P > 0.05). Plasma RANTES level in DM group was significantly lower than NC group ( P < 0.05), and difference came from patients with T2DM using insulin and subjects with normal blood glucose. CCR5 levels on the surface of monocytes and lymphocytes of patients in DM group were higher than NC group ( P < 0.05). There was no significant difference in CCR5 level on the surface of monocytes and lymphocytes (or plasma RANTES level) among different genotypes of CCR5 rs1799987 (or RANTES rs2280788) ( P > 0.05). RANTES level was positively correlated with age and TC and negatively correlated with diabetes course and HbA1c. CCR5 level on the surface of monocytes was positively correlated with drinking years, HbA1c, course of diabetes, and negatively correlated with TC. CCR5 on lymphocyte surface was positively correlated with diabetes course, smoking years, HbA1c, and negatively correlated with LDL, TC, HDL ( P < 0.05). Conclusion RANTES -28 (rs2280788) C/G polymorphism or CCR5 59029 (rs1799987) A/G polymorphism may not be associated with T2DM of Han nationality in Kunming and cannot affect RANTES and CCR5 expression. RANTES and CCR5 levels may be related to T2DM but may also be affected by age, blood lipids, HbA1c, diabetes course, drugs, and other factors.

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“…CCL5 could activate downstream signaling pathways such as nuclear factor NF-κB, and mitogen activated protein kinase (MAPK) pathways through its receptors, namely, CCR1, CCR3, and CCR5 [22][23][24]. In diabetes patients, CCL5 and CCR5 are upregulated in the peripheral blood [25,26] and they have also been well-documented as the upstream regulators of insulin resistance in obese individuals [27]. Besides, the increased serum levels of CCL5 in type 2 diabetic patients were closely related to postprandial hyperglycemia [28].…”

Section: Ccl5mentioning

confidence: 99%

The Chemokine Systems at the Crossroads of Inflammation and Energy Metabolism in the Development of Obesity

Chan

Hsieh

2021

IJMS

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Obesity is characterized as a complex and multifactorial excess accretion of adipose tissue accompanied with alterations in the immune and metabolic responses. Although the chemokine systems have been documented to be involved in the control of tissue inflammation and metabolism, the dual role of chemokines and chemokine receptors in the pathogenesis of the inflammatory milieu and dysregulated energy metabolism in obesity remains elusive. The objective of this review is to present an update on the link between chemokines and obesity-related inflammation and metabolism dysregulation under the light of recent knowledge, which may present important therapeutic targets that could control obesity-associated immune and metabolic disorders and chronic complications in the near future. In addition, the cellular and molecular mechanisms of chemokines and chemokine receptors including the potential effect of post-translational modification of chemokines in the regulation of inflammation and energy metabolism will be discussed in this review.

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CCR5-Δ32 polymorphism is a genetic risk factor associated with dyslipidemia in patients with type 1 diabetes

Cited by 11 publications

References 33 publications

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

Investigation of the Correlation Between the Polymorphism/Expression Level of RANTES and Its Receptor CCR5 Gene Promoter and Type 2 Diabetes Mellitus

The Chemokine Systems at the Crossroads of Inflammation and Energy Metabolism in the Development of Obesity

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