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Article

Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study

1
Department of Morphological Sciences, Adelson School of Medicine, Ariel University, Ariel 40700, Israel
2
Department of Anatomy and Anthropology, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 69978, Israel
3
The Simon Winter Institute for Human Genetics, Bnai Zion Medical Center, The Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 32000, Israel
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2024, 25(2), 881; https://doi.org/10.3390/ijms25020881
Submission received: 6 December 2023 / Revised: 7 January 2024 / Accepted: 8 January 2024 / Published: 10 January 2024

Abstract

Metabolic syndrome (MetS) is a complex disease involving multiple physiological, biochemical, and metabolic abnormalities. The search for reliable biomarkers may help to better elucidate its pathogenesis and develop new preventive and therapeutic strategies. In the present population-based study, we looked for biomarkers of MetS among obesity- and inflammation-related circulating factors and body composition parameters in 1079 individuals (with age range between 18 and 80) belonging to an ethnically homogeneous population. Plasma levels of soluble markers were measured by using ELISA. Body composition parameters were assessed using bioimpedance analysis (BIA). Statistical analysis, including mixed-effects regression, with MetS as a dependent variable, revealed that the most significant independent variables were mainly adipose tissue-related phenotypes, including fat mass/weight (FM/WT) [OR (95% CI)], 2.77 (2.01–3.81); leptin/adiponectin ratio (L/A ratio), 1.50 (1.23–1.83); growth and differentiation factor 15 (GDF-15) levels, 1.32 (1.08–1.62); inflammatory markers, specifically monocyte to high-density lipoprotein cholesterol ratio (MHR), 2.53 (2.00–3.15), and a few others. Additive Bayesian network modeling suggests that age, sex, MHR, and FM/WT are directly associated with MetS and probably affect its manifestation. Additionally, MetS may be causing the GDF-15 and L/A ratio. Our novel findings suggest the existence of complex, age-related, and possibly hierarchical relationships between MetS and factors associated with obesity.
Keywords: metabolic syndrome (MetS); adipokines; body composition; monocytes; inflammation metabolic syndrome (MetS); adipokines; body composition; monocytes; inflammation

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MDPI and ACS Style

Tarabeih, N.; Kalinkovich, A.; Ashkenazi, S.; Cherny, S.S.; Shalata, A.; Livshits, G. Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study. Int. J. Mol. Sci. 2024, 25, 881. https://doi.org/10.3390/ijms25020881

AMA Style

Tarabeih N, Kalinkovich A, Ashkenazi S, Cherny SS, Shalata A, Livshits G. Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study. International Journal of Molecular Sciences. 2024; 25(2):881. https://doi.org/10.3390/ijms25020881

Chicago/Turabian Style

Tarabeih, Nader, Alexander Kalinkovich, Shai Ashkenazi, Stacey S. Cherny, Adel Shalata, and Gregory Livshits. 2024. "Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study" International Journal of Molecular Sciences 25, no. 2: 881. https://doi.org/10.3390/ijms25020881

APA Style

Tarabeih, N., Kalinkovich, A., Ashkenazi, S., Cherny, S. S., Shalata, A., & Livshits, G. (2024). Relationships between Circulating Biomarkers and Body Composition Parameters in Patients with Metabolic Syndrome: A Community-Based Study. International Journal of Molecular Sciences, 25(2), 881. https://doi.org/10.3390/ijms25020881

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