Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Oct 14;18(3):617-623.
doi: 10.5114/aoms.2020.99922. eCollection 2022.

Cardiovascular risk and metabolic profile of Polish citizens from Lower Silesia. First signs of metabolic crisis?

Affiliations

Cardiovascular risk and metabolic profile of Polish citizens from Lower Silesia. First signs of metabolic crisis?

Lukasz Kozera et al. Arch Med Sci. .

Abstract

Introduction: Population biobanks are essential for the development of public health screening and improvement of personalized medicine. Since 2012, Biobank of Łukasiewicz Research Network - PORT Polish Center for Technology Development (PORT Biobank) has collected more than 120 000 biological samples from nearly 5000 inhabitants of Lower Silesia, together with a variety of demographic, anthropometric, life style and health information.

Material and methods: The analyzed group consisted of 2274 participants (1398 women, 876 men). Both women and men were further subdivided into five age decades (20+, 30+, 40+, 50+, 60+). For this study, the level of lipids (total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides) was estimated and correlated with the level of high-sensitivity C-reactive protein (hs-CRP) and biometric parameters.

Results: We have demonstrated for the first time that biochemical changes that may lead to cardiovascular diseases (CVD) occurred already in the group of people aged 30+. Our observation is based on measurements of lipids, glucose, inflammatory (hs-CRP) and biometric markers such as body mass index (BMI) and waist-to-hip ratio (WHR).

Conclusions: Positive correlations with age for these variables suggest the ongoing progress of metabolic changes, which in the end may lead to a fatal outcome such as myocardial infarction or stroke. It suggests that CVD screening programs should be dedicated to a wider group, especially younger citizens, in order to prevent fatal outcomes related to CVD.

Keywords: biobanking; cardiovascular diseases; metabolic crisis; population-based screening.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Changes in lipid profile relative to age groups in Lower Silesia inhabitants. Serum lipid profile, A – total cholesterol (tCHOL), B – triglycerides (TG) and D – high-density lipoprotein cholesterol (HDL-C) levels were measured by enzymatic assay, as described in Material and methods section. C – Low-density lipoprotein cholesterol (LDL-C) level was calculated with Friedewald formula. Results exceeding reference values are indicated with a star. Values that increased significantly between particular age decades are indicated with a linker (Pearson’s χ2 test; p < 0.0001). Reference values for: tCHOL 2.97–4.91 mM, TG 0.56–1.69 mM, LDL-C < 2.97 mM, HDL-C > 1.03 mM
Figure 2
Figure 2
A – High-sensitivity C-reactive protein (hs-CRP), B – glucose (GLUC), C – body mass index (BMI) and D – waist-to-hip ratio (WHR) profiles in relation to age decades. Serum hs-CRP level was measured by immunological agglutination and turbidimetric precipitate determination; GLUC level was measured by enzymatic reaction with hexokinase; BMI and WHR were calculated as described in Material and methods section. Results exceeding reference values are indicated with a dot. Values that increased significantly between particular age decades are indicated with a linker (Pearson’s χ2 test; p < 0.0001). Reference values for: hs-CRP 0–3.0 mg/l, GLUC: 3.6–5.8 mM, BMI 18.5–24.99, WHR for men ≤ 0.09; WHR for women ≤ 0.085

Similar articles

Cited by

References

    1. Harris JR, Burton P, Knoppers BM, et al. . Toward a roadmap in global biobanking for health. Eur J Hum Genet 2012; 20: 1105-11. - PMC - PubMed
    1. Vartiainen E. The North Karelia Project: cardiovascular disease prevention in Finland. Glob Cardiol Sci Pract 2018; 2018: 13. - PMC - PubMed
    1. Sigurdardottir FD, Lyngbakken MN, Holmen OL, et al. . Relative prognostic value of cardiac troponin I and C-reactive protein in the general population (from the Nord-Trondelag Health [HUNT] Study). Am J Cardiol 2018; 121: 949-55. - PubMed
    1. Bycroft C, Freeman C, Petkova D, et al. . The UK Biobank resource with deep phenotyping and genomic data. Nature 2018; 562: 203-9. - PMC - PubMed
    1. Berkelmans GFN, Gudbjörnsdottir S, Visseren FLJ, et al. . Prediction of individual life-years gained without cardiovascular events from lipid, blood pressure, glucose, and aspirin treatment based on data of more than 500 000 patients with type 2 diabetes mellitus. Eur Heart J 2019; 40: 2899-906. - PMC - PubMed