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. 2020 Dec 9;10(1):21507.
doi: 10.1038/s41598-020-78493-x.

Biomarkers of cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia

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Biomarkers of cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia

Sophia Morel et al. Sci Rep. .

Abstract

Survivors of childhood acute lymphoblastic leukemia (cALL) are at higher risk of developing cardiometabolic complications. We aimed at exploring the associations between biomarkers of inflammation, oxidative stress, endothelial function, endotoxemia and cardiometabolic risk factors. We conducted a cross-sectional analysis in 246 cALL survivors (mean age, 22.1 ± 6.3 years; mean time since diagnosis, 15.5 ± 5.2 years) and evaluated the associations using a series of logistic regressions. Using structural equation models, we also tested if the relationship between endotoxemia and cardiometabolic complications was mediated by the latent (unobserved) variable inflammation inferred from the observed biomarkers CRP, TNF-α and IL-6. High leptin-adiponectin ratio was associated with obesity [adjusted OR = 15.7; 95% CI (6.2-39.7)], insulin resistance [20.6 (5.2-82.1)] and the metabolic syndrome [11.2 (2.6-48.7)]. Higher levels of plasminogen activator inhibitor-1 and tumor necrosis factor-α were associated with obesity [3.37 (1.6-7.1) and 2.34 (1.3-4.2), respectively] whereas high C-reactive protein levels were associated with insulin resistance [3.3 (1.6-6.8)], dyslipidemia [2.6 (1.4-4.9)] and MetS [6.5 (2.4-17.9)]. Our analyses provided evidence for a directional relationship between lipopolysaccharide binding protein, related to metabolic endotoxemia, inflammation and cardiometabolic outcomes. Identification of biomarkers and biological mechanisms could open new avenues for prevention strategies to minimize the long-term sequelae, improve follow-up and optimize the quality of life of this high-risk population.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Path diagram corresponding to structural equation model between LBP (biomarker of endotoxemia), inflammation as the latent variable (derived from CRP, TNF-α and IL-6) and cardiometabolic outcomes. The conventional rules of SEM visualization were applied.
Figure 2
Figure 2
Path diagram corresponding to structural equation model between LBP (biomarker of endotoxemia), inflammation as the latent variable (derived from CRP, TNF-α and IL-6) and metabolic syndrome. The conventional rules of SEM visualization were applied.

References

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