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. 2021 May 26:2021:6695468.
doi: 10.1155/2021/6695468. eCollection 2021.

Associations between Hypertriglyceridemia and Circulating Neutrophil Subpopulation in Patients with Dyslipidemia

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Associations between Hypertriglyceridemia and Circulating Neutrophil Subpopulation in Patients with Dyslipidemia

Vadim Genkel et al. Int J Inflam. .

Abstract

Background: There is strong evidence to suggest that the negative influence of triglyceride-rich lipoproteins (TRLs) on atherosclerosis development and progression is at least partially mediated by their proinflammatory effects. However, the effect of hypertriglyceridemia (HTG) on the subpopulation composition of circulating neutrophils has not been studied so far. The aim of this study was to examine correlations between the level of triglycerides (TGs) and the subpopulation composition of circulating neutrophils in middle-aged patients with dyslipidemia without established atherosclerotic cardiovascular diseases (ASCVDs).

Methods: Ninety-one patients with dyslipidemia, including 22 (24.2%) patients with HTG, were enrolled in the study. Phenotying of neutrophil subpopulations was performed through flow cytometry (Navios 6/2, Beckman Coulter, USA). For phenotyping of neutrophil subpopulations, conjugated monoclonal antibodies were used: CD16, PE-Cyanine7 (Invitrogen, USA); CD11b-FITC (Beckman Coulter, USA); CD62L-PE (Beckman Coulter, USA); and CD184 (CXCR4)-PE-CF594 (BD Biosciences, USA).

Results: Following the correlation analysis, the TG level directly correlated with the number of circulating leukocytes (r = 0.443; p < 0.0001) and neutrophils (r = 0.311; p=0.008). HTG patients displayed a significantly high number of circulating neutrophils with CD16hiCD11bhiCD62Lhi and CD16hiCD11bloCD62Lbr phenotypes. TG levels directly correlated with the number of circulating neutrophils having CD16hiCD11bhiCD62Lhi and CD16hiCD11bloCD62Lbr phenotypes. Following the linear regression analysis, statistically significant correlations between TG levels and neutrophil subpopulations having CD16hiCD11bloCD62Lbr and CD16hiCD11bbrCD62LloCXCR4hi phenotypes were established. Changes in TG levels could explain up to 19.1% of the variability in the number of studied neutrophil subpopulations.

Conclusion: Among middle-aged patients without established ASCVDs, patients with HTG demonstrated a significantly higher overall number of neutrophils and neutrophils having CD16hiCD11bhiCD62Lhi (mature neutrophils) and CD16hiCD11bloCD62Lbr (immunosuppressive neutrophils) than patients with normal TG levels. The TG level was associated with an increase in the number of CD16hiCD11bloCD62Lbr and CD16hiCD11bbrCD62LloCXCR4hi (ageing neutrophils) neutrophils, adjusted for the sex and age of the patients.

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Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
Gating strategy of flow cytometry. Sequential gating strategy for the identification of neutrophil subpopulations. Granulocytes were gated based on FSC and SSC (а). Furthermore, CD16+ cells were identified and single cells were gated (c–d). Identification of neutrophil subpopulations depending on CD11b and CD62 L expression (e). Identification of ageing neutrophils by the expression of CD184 and CD182 (f).
Figure 2
Figure 2
Correlation analysis demonstrating the relationship between TG and leukocytes, neutrophils, and their subpopulations.
Figure 3
Figure 3
Relationship between TG and circulating neutrophil subpopulations.

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