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. 2024 Oct 16;14(10):1310.
doi: 10.3390/life14101310.

Inflammatory and Lipid Biomarkers in Early Atherosclerosis: A Comprehensive Analysis

Alim Namitokov  1   2 , Karina Karabakhtsieva  2 , Olga Malyarevskaya  2
Affiliations

Inflammatory and Lipid Biomarkers in Early Atherosclerosis: A Comprehensive Analysis

Alim Namitokov et al. Life (Basel). .

Abstract

Introduction: Atherosclerosis is a leading cause of cardiovascular disease, characterized by lipid accumulation and chronic inflammation within arterial walls. Early detection in young adults is crucial for preventing adverse cardiovascular events. This study investigates the associations between inflammatory indices, lipid biomarkers, and the presence of atherosclerosis in patients aged 18 to 55 years.

Methods: A cross-sectional study was conducted involving 89 participants divided into two groups: 62 patients with documented atherosclerosis (main group) and 27 healthy controls without significant atherosclerosis. Comprehensive data-including demographic information, medication use, imaging results, laboratory parameters, and calculated inflammatory indices (SIRI, SII, AISI, NLR, PLR, MLR)-were collected. Statistical analyses included correlation assessments, group comparisons using the Mann-Whitney U test, logistic regression modeling, feature importance analysis with Random Forest and Gradient Boosting classifiers, receiver operating characteristic (ROC) curves, and K-means clustering.

Results: Significant differences were observed between the main and control groups. Patients with atherosclerosis exhibited elevated inflammatory indices (SIRI, NLR, MLR, SII) and lipid profile abnormalities (higher TC and LDL-C, lower HDL-C). Lp(a) and ANGPTL3 levels were significantly higher in the main group (p < 0.001 and p < 0.01, respectively). Logistic regression identified SIRI and ANGPTL3 as significant predictors of atherosclerosis, with the model demonstrating high accuracy (77%) and sensitivity (93%). Feature importance analysis confirmed the significance of SIRI and ANGPTL3, alongside traditional lipid biomarkers, in predicting disease presence. ROC analysis showed excellent model performance (AUC > 0.80). Clustering analysis revealed two distinct patient subgroups characterized by predominant inflammatory profiles or lipid metabolism disturbances.

Conclusions: Systemic inflammation and lipid abnormalities play significant roles in early atherosclerosis among young adults. Elevated SIRI and ANGPTL3 levels are potent predictors of disease presence. The integration of inflammatory indices and lipid biomarkers into predictive models enhances risk stratification and supports personalized medicine approaches.

Keywords: ANGPTL3; SIRI; atherosclerosis; cardiovascular risk; early detection; inflammatory indices; lipid biomarkers; machine learning; personalized medicine; young adults.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Correlation heatmap showing relationships among biomarkers and inflammatory indices in the main group.
Figure 2
Figure 2
Confusion matrix of the logistic regression model.
Figure 3
Figure 3
Feature importance scores from the Random Forest classifier.
Figure 4
Figure 4
ROC curves for Random Forest and Gradient Boosting classifiers.
Figure 5
Figure 5
K-means clustering of patients showing two distinct clusters.
See this image and copyright information in PMC

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References

    1. Libby P., Hansson G.K. Inflammation and immunity in diseases of the arterial tree: Players and layers. Circ. Res. 2015;116:307–311. doi: 10.1161/CIRCRESAHA.116.301313. - DOI - PMC - PubMed
    1. Ridker P.M., Everett B.M., Thuren T., MacFadyen J.G., Chang W.H., Ballantyne C., Fonseca F., Nicolau J., Koenig W., Anker S.D., et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N. Engl. J. Med. 2017;377:1119–1131. doi: 10.1056/NEJMoa1707914. - DOI - PubMed
    1. Shumilah A.M., Othman A.M., Al-Madhagi A.K. Accuracy of neutrophil to lymphocyte and monocyte to lymphocyte ratios as new inflammatory markers in acute coronary syndrome. BMC Cardiovasc. Disord. 2021;21:422. doi: 10.1186/s12872-021-02236-7. - DOI - PMC - PubMed
    1. Toth P.P., Romeo G.R., Patterson A.B. Lipoprotein(a): Recent insights and approaches to atherothrombotic disease risk management. Atheroscler. Suppl. 2018;32:1–9. doi: 10.1016/j.atherosclerosissup.2017.12.001. - DOI
    1. Mach F., Baigent C., Catapano A.L., Koskinas K.C., Casula M., Badimon L., Chapman M.J., De Backer G.G., Delgado V., Ference B.A., et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: Lipid modification to reduce cardiovascular risk. Eur. Heart J. 2019;41:111–188. doi: 10.1093/eurheartj/ehz455. - DOI - PubMed

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