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Published in: BMC Cardiovascular Disorders 1/2021

Open Access 01-12-2021 | Arterial Occlusive Disease | Research

Hypertriglyceridemia impact on arterial parameters in patients with metabolic syndrome

Authors: Egidija Rinkūnienė, Vilma Dženkevičiūtė, Žaneta Petrulionienė, Eglė Majauskienė, Ligita Ryliškytė, Roma Puronaitė, Jolita Badarienė, Rokas Navickas, Aleksandras Laucevičius

Published in: BMC Cardiovascular Disorders | Issue 1/2021

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Abstract

Background

The development of metabolic syndrome (MS) augments risk for atherosclerotic cardiovascular disease (CVD), but pathophysiological mechanisms of this relation are still under discussion. Overlapping CVD risk factors make it difficult to assess the importance of individual elements. This study aimed to analyze subclinical atherosclerosis based on arterial structure and function parameters in patients with MS and different triglycerides levels.

Methods

Patients (aged 40–65 years) were divided into two groups: patients with MS and with or without hypertriglyceridemia (hTG). Noninvasive assessment of vascular parameters—aortic augmentation index adjusted for heart rate 75 bpm (AIxHR75), pulse wave velocity (PWV), and common carotid artery intima-media thickness (cIMT) were performed.

Results

Carotid-femoral PWV (cfPWV) and carotid-radial PWV (crPWV) were significantly higher in patients with hTG. After adjusting for age, gender, waist circumference, fasting glucose, smoking status, cardiovascular family history and mean arterial pressure, crPWV (OR 1.150; CI 95% 1.04–1.28), cfPWV (OR 1.283; CI 95% 1.14–1.42) and cIMT (OR 1.13; CI 95% 1.02–1.25) were significantly associated with hTG (p < 0.05), while AIxHR75 did not show significant association.

Conclusion

Increased triglycerides are independently associated with a cfPWV, crPWV, and cIMT and may modify CVD risk in patients with MS.
Appendix
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Literature
1.
go back to reference Sperling LS, Mechanick JI, Neeland IJ, Herrick CJ, Després J-P, Ndumele CE, et al. The cardiometabolic health alliance: working toward a new care model for the metabolic syndrome. J Am Coll Cardiol. 2015;66(9):1050–67.CrossRef Sperling LS, Mechanick JI, Neeland IJ, Herrick CJ, Després J-P, Ndumele CE, et al. The cardiometabolic health alliance: working toward a new care model for the metabolic syndrome. J Am Coll Cardiol. 2015;66(9):1050–67.CrossRef
2.
go back to reference Grundy SM. Obesity, metabolic syndrome, and coronary atherosclerosis. Circulation. 2002;105(23):2696–8.CrossRef Grundy SM. Obesity, metabolic syndrome, and coronary atherosclerosis. Circulation. 2002;105(23):2696–8.CrossRef
3.
go back to reference Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. 2010;56(14):1113–32.CrossRef Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, et al. The metabolic syndrome and cardiovascular risk a systematic review and meta-analysis. J Am Coll Cardiol. 2010;56(14):1113–32.CrossRef
4.
go back to reference Grundy SM. Metabolic syndrome update. Trends Cardiovasc Med. 2016;26(4):364–73.CrossRef Grundy SM. Metabolic syndrome update. Trends Cardiovasc Med. 2016;26(4):364–73.CrossRef
5.
go back to reference Bornfeldt KE, Tabas I. Insulin resistance, hyperglycemia, and atherosclerosis. Cell Metab. 2011;14(5):575–85.CrossRef Bornfeldt KE, Tabas I. Insulin resistance, hyperglycemia, and atherosclerosis. Cell Metab. 2011;14(5):575–85.CrossRef
6.
go back to reference Lin D, Bridgeman MB, Brunetti L. Evaluation of alterations in serum immunoglobulin concentrations in components of metabolic syndrome, obesity, diabetes, and dyslipidemia. BMC Cardiovasc Disord. 2019;19(1):319.CrossRef Lin D, Bridgeman MB, Brunetti L. Evaluation of alterations in serum immunoglobulin concentrations in components of metabolic syndrome, obesity, diabetes, and dyslipidemia. BMC Cardiovasc Disord. 2019;19(1):319.CrossRef
7.
go back to reference Ballak DB, Stienstra R, Tack CJ, Dinarello CA, van Diepen JA. IL-1 family members in the pathogenesis and treatment of metabolic disease: focus on adipose tissue inflammation and insulin resistance. Cytokine. 2015;75(2):280–90.CrossRef Ballak DB, Stienstra R, Tack CJ, Dinarello CA, van Diepen JA. IL-1 family members in the pathogenesis and treatment of metabolic disease: focus on adipose tissue inflammation and insulin resistance. Cytokine. 2015;75(2):280–90.CrossRef
8.
go back to reference Yan Y, Li S, Liu Y, Bazzano L, He J, Mi J, et al. Temporal relationship between inflammation and insulin resistance and their joint effect on hyperglycemia: the Bogalusa Heart Study. Cardiovasc Diabetol. 2019;18(1):109.CrossRef Yan Y, Li S, Liu Y, Bazzano L, He J, Mi J, et al. Temporal relationship between inflammation and insulin resistance and their joint effect on hyperglycemia: the Bogalusa Heart Study. Cardiovasc Diabetol. 2019;18(1):109.CrossRef
9.
go back to reference Shi J, Fan J, Su Q, Yang Z. Cytokines and abnormal glucose and lipid metabolism. Front Endocrinol (Lausanne). 2019;10:703.CrossRef Shi J, Fan J, Su Q, Yang Z. Cytokines and abnormal glucose and lipid metabolism. Front Endocrinol (Lausanne). 2019;10:703.CrossRef
10.
go back to reference Tada H, Nohara A, Kawashiri M. Serum triglycerides and atherosclerotic cardiovascular disease: insights from clinical and genetic studies. Nutrients. 2018;10(11):1789.CrossRef Tada H, Nohara A, Kawashiri M. Serum triglycerides and atherosclerotic cardiovascular disease: insights from clinical and genetic studies. Nutrients. 2018;10(11):1789.CrossRef
11.
go back to reference Llaucevicius A, Kasiulevičius V, Jatuzis D, Petrulioniene Z, Ryliskyte L, Rinkūnienė E, et al. Lithuanian High Cardiovascular Risk (LitHiR) primary prevention programme - rationale and design. Semin Cardiovasc Med. 2012;18:1–6.CrossRef Llaucevicius A, Kasiulevičius V, Jatuzis D, Petrulioniene Z, Ryliskyte L, Rinkūnienė E, et al. Lithuanian High Cardiovascular Risk (LitHiR) primary prevention programme - rationale and design. Semin Cardiovasc Med. 2012;18:1–6.CrossRef
12.
go back to reference National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143–421.CrossRef National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106(25):3143–421.CrossRef
13.
go back to reference Mancia G, Fagard R, Narkiewicz K, Redón J, Zanchetti A, Böhm M, et al. 2013 ESH/ESC Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens. 2013;31(7):1281–357.CrossRef Mancia G, Fagard R, Narkiewicz K, Redón J, Zanchetti A, Böhm M, et al. 2013 ESH/ESC Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens. 2013;31(7):1281–357.CrossRef
14.
go back to reference Wilkinson IB, Cockcroft JR, Webb DJ. Pulse wave analysis and arterial stiffness. J Cardiovasc Pharmacol. 1998;32(Suppl 3):S33-37.PubMed Wilkinson IB, Cockcroft JR, Webb DJ. Pulse wave analysis and arterial stiffness. J Cardiovasc Pharmacol. 1998;32(Suppl 3):S33-37.PubMed
15.
go back to reference Kelly R, Hayward C, Avolio A, O’Rourke M. Noninvasive determination of age-related changes in the human arterial pulse. Circulation. 1989;80(6):1652–9.CrossRef Kelly R, Hayward C, Avolio A, O’Rourke M. Noninvasive determination of age-related changes in the human arterial pulse. Circulation. 1989;80(6):1652–9.CrossRef
16.
go back to reference O’Rourke MF, Gallagher DE. Pulse wave analysis. J Hypertens Suppl. 1996;14(5):S147-157.PubMed O’Rourke MF, Gallagher DE. Pulse wave analysis. J Hypertens Suppl. 1996;14(5):S147-157.PubMed
17.
go back to reference Lumley T, Diehr P, Emerson S, Chen L. The importance of the normality assumption in large public health data sets. Annu Rev Public Health. 2002;23(1):151–69.CrossRef Lumley T, Diehr P, Emerson S, Chen L. The importance of the normality assumption in large public health data sets. Annu Rev Public Health. 2002;23(1):151–69.CrossRef
18.
go back to reference Zhong Q, Hu M-J, Cui Y-J, Liang L, Zhou M-M, Yang Y-W, et al. Carotid-femoral pulse wave velocity in the prediction of cardiovascular events and mortality: an updated systematic review and meta-analysis. Angiology. 2018;69(7):617–29.CrossRef Zhong Q, Hu M-J, Cui Y-J, Liang L, Zhou M-M, Yang Y-W, et al. Carotid-femoral pulse wave velocity in the prediction of cardiovascular events and mortality: an updated systematic review and meta-analysis. Angiology. 2018;69(7):617–29.CrossRef
19.
go back to reference Kim H-L, Kim S-H. Pulse wave velocity in atherosclerosis. Front Cardiovasc Med. 2019;6:41.CrossRef Kim H-L, Kim S-H. Pulse wave velocity in atherosclerosis. Front Cardiovasc Med. 2019;6:41.CrossRef
20.
go back to reference Zachariah JP, Rong J, Larson MG, Hamburg NM, Benjamin EJ, Vasan RS, et al. Metabolic predictors of change in vascular function: prospective associations from a community-based cohort. Hypertension. 2018;71(2):237–42.CrossRef Zachariah JP, Rong J, Larson MG, Hamburg NM, Benjamin EJ, Vasan RS, et al. Metabolic predictors of change in vascular function: prospective associations from a community-based cohort. Hypertension. 2018;71(2):237–42.CrossRef
21.
go back to reference Gottsäter M, Östling G, Persson M, Engström G, Melander O, Nilsson PM. Non-hemodynamic predictors of arterial stiffness after 17 years of follow-up: the Malmö Diet and Cancer study. J Hypertens. 2015;33(5):957–65.CrossRef Gottsäter M, Östling G, Persson M, Engström G, Melander O, Nilsson PM. Non-hemodynamic predictors of arterial stiffness after 17 years of follow-up: the Malmö Diet and Cancer study. J Hypertens. 2015;33(5):957–65.CrossRef
22.
go back to reference Johansen NB, Vistisen D, Brunner EJ, Tabák AG, Shipley MJ, Wilkinson IB, et al. Determinants of aortic stiffness: 16-year follow-up of the Whitehall II Study. PLoS ONE. 2012;7(5):e37165.CrossRef Johansen NB, Vistisen D, Brunner EJ, Tabák AG, Shipley MJ, Wilkinson IB, et al. Determinants of aortic stiffness: 16-year follow-up of the Whitehall II Study. PLoS ONE. 2012;7(5):e37165.CrossRef
23.
go back to reference Wang X, Ye P, Cao R, Yang X, Xiao W, Zhang Y, et al. Triglycerides are a predictive factor for arterial stiffness: a community-based 4.8-year prospective study. Lipids Health Dis. 2016;15:1–9.CrossRef Wang X, Ye P, Cao R, Yang X, Xiao W, Zhang Y, et al. Triglycerides are a predictive factor for arterial stiffness: a community-based 4.8-year prospective study. Lipids Health Dis. 2016;15:1–9.CrossRef
24.
go back to reference Pietri P, Georgiopoulos G, Tsiachris D, Kordalis A, Vlachopoulos C, Vyssoulis G, et al. Triglycerides are related to left ventricular mass in hypertensive patients independently of other cardiometabolic risk factors: the effect of gender. Sci Rep. 2020;10(1):13253.CrossRef Pietri P, Georgiopoulos G, Tsiachris D, Kordalis A, Vlachopoulos C, Vyssoulis G, et al. Triglycerides are related to left ventricular mass in hypertensive patients independently of other cardiometabolic risk factors: the effect of gender. Sci Rep. 2020;10(1):13253.CrossRef
25.
go back to reference Castañer O, Pintó X, Subirana I, Amor AJ, Ros E, Hernáez Á, et al. Remnant cholesterol, not LDL cholesterol, is associated with incident cardiovascular disease. J Am Coll Cardiol. 2020;76(23):2712–24.CrossRef Castañer O, Pintó X, Subirana I, Amor AJ, Ros E, Hernáez Á, et al. Remnant cholesterol, not LDL cholesterol, is associated with incident cardiovascular disease. J Am Coll Cardiol. 2020;76(23):2712–24.CrossRef
26.
go back to reference Protogerou AD, Blacher J, Aslangul E, Le Jeunne C, Lekakis J, Mavrikakis M, et al. Gender influence on metabolic syndrome’s effects on arterial stiffness and pressure wave reflections in treated hypertensive subjects. Atherosclerosis. 2007;193(1):151–8.CrossRef Protogerou AD, Blacher J, Aslangul E, Le Jeunne C, Lekakis J, Mavrikakis M, et al. Gender influence on metabolic syndrome’s effects on arterial stiffness and pressure wave reflections in treated hypertensive subjects. Atherosclerosis. 2007;193(1):151–8.CrossRef
27.
go back to reference Vlachopoulos C, Aznaouridis K, O’Rourke MF, Safar ME, Baou K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with central haemodynamics: a systematic review and meta-analysis. Eur Heart J. 2010;31(15):1865–71.CrossRef Vlachopoulos C, Aznaouridis K, O’Rourke MF, Safar ME, Baou K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with central haemodynamics: a systematic review and meta-analysis. Eur Heart J. 2010;31(15):1865–71.CrossRef
28.
go back to reference Pal S, Radavelli-Bagatini S. Association of arterial stiffness with obesity in Australian women: a pilot study. J Clin Hypertens. 2013;15(2):118–23.CrossRef Pal S, Radavelli-Bagatini S. Association of arterial stiffness with obesity in Australian women: a pilot study. J Clin Hypertens. 2013;15(2):118–23.CrossRef
29.
go back to reference Li P, Wang L, Liu C. Overweightness, obesity and arterial stiffness in healthy subjects: a systematic review and meta-analysis of literature studies. Postgrad Med. 2017;129(2):224–30.CrossRef Li P, Wang L, Liu C. Overweightness, obesity and arterial stiffness in healthy subjects: a systematic review and meta-analysis of literature studies. Postgrad Med. 2017;129(2):224–30.CrossRef
30.
go back to reference Pettersson-Pablo P, Cao Y, Breimer LH, Nilsson TK, Hurtig-Wennlöf A. Pulse wave velocity, augmentation index, and carotid intima-media thickness are each associated with different inflammatory protein signatures in young healthy adults: the lifestyle, biomarkers and atherosclerosis study. Atherosclerosis. 2020;313:150–5.CrossRef Pettersson-Pablo P, Cao Y, Breimer LH, Nilsson TK, Hurtig-Wennlöf A. Pulse wave velocity, augmentation index, and carotid intima-media thickness are each associated with different inflammatory protein signatures in young healthy adults: the lifestyle, biomarkers and atherosclerosis study. Atherosclerosis. 2020;313:150–5.CrossRef
31.
go back to reference Tuttolomondo A, Pecoraro R, Buttà C, Di Raimondo D, Ferrante A, Della Corte V, et al. Arterial stiffness indexes and serum cytokine levels in seronegative spondyloarthritis: relationships between stiffness markers and metabolic and immunoinflammatory variables. Scand J Rheumatol. 2015;44(6):474–9.CrossRef Tuttolomondo A, Pecoraro R, Buttà C, Di Raimondo D, Ferrante A, Della Corte V, et al. Arterial stiffness indexes and serum cytokine levels in seronegative spondyloarthritis: relationships between stiffness markers and metabolic and immunoinflammatory variables. Scand J Rheumatol. 2015;44(6):474–9.CrossRef
32.
go back to reference Øygarden H. Carotid intima-media thickness and prediction of cardiovascular disease. J Am Heart Assoc. 2017;6(1):e005313.CrossRef Øygarden H. Carotid intima-media thickness and prediction of cardiovascular disease. J Am Heart Assoc. 2017;6(1):e005313.CrossRef
33.
go back to reference Herder M, Arntzen KA, Johnsen SH, Mathiesen EB. The metabolic syndrome and progression of carotid atherosclerosis over 13 years. The Tromsø study Cardiovasc Diabetol. 2012;11:77.CrossRef Herder M, Arntzen KA, Johnsen SH, Mathiesen EB. The metabolic syndrome and progression of carotid atherosclerosis over 13 years. The Tromsø study Cardiovasc Diabetol. 2012;11:77.CrossRef
34.
go back to reference Lacolley P, Regnault V, Laurent S. Mechanisms of Arterial Stiffening. Arterioscler Thromb Vasc Biol. 2020;40(5):1055–62.CrossRef Lacolley P, Regnault V, Laurent S. Mechanisms of Arterial Stiffening. Arterioscler Thromb Vasc Biol. 2020;40(5):1055–62.CrossRef
35.
go back to reference Gao L, Bai L, Shi M, Ni J, Lu H, Wu Y, et al. Association between carotid intima-media thickness and fasting blood glucose level: a population-based cross-sectional study among low-income adults in rural China. J Diabetes Investig. 2017;8(6):788–97.CrossRef Gao L, Bai L, Shi M, Ni J, Lu H, Wu Y, et al. Association between carotid intima-media thickness and fasting blood glucose level: a population-based cross-sectional study among low-income adults in rural China. J Diabetes Investig. 2017;8(6):788–97.CrossRef
Metadata
Title
Hypertriglyceridemia impact on arterial parameters in patients with metabolic syndrome
Authors
Egidija Rinkūnienė
Vilma Dženkevičiūtė
Žaneta Petrulionienė
Eglė Majauskienė
Ligita Ryliškytė
Roma Puronaitė
Jolita Badarienė
Rokas Navickas
Aleksandras Laucevičius
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2021
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-021-02202-3

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