Investigating the Role of FABP4 in Diabetes and Obesity and the Influence of Age and Ethnicity: A Comprehensive Analysis of a Cohort from the KEDP-Study
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Published:2024-04-23
Issue:9
Volume:25
Page:4578
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ISSN:1422-0067
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Container-title:International Journal of Molecular Sciences
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language:en
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Short-container-title:IJMS
Author:
Abdalla Mohammed A.12ORCID, Abubaker Jehad3ORCID, Abu-Farha Mohamed13ORCID, Al-Khairi Irina3ORCID, Cherian Preethi3, Qaddoumi Mohammad G.4, Al-Rashed Fatema5ORCID, Thanaraj Thangavel Alphonse6ORCID, Albatineh Ahmed N.7, Al-Mulla Fahd1ORCID
Affiliation:
1. Department of Translational Research, Dasman Diabetes Institute, Kuwait City 15462, Kuwait 2. Hull York Medical School (HYMS), University of Hull, Hull HU6 7RX, UK 3. Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait 4. Pharmacology and Therapeutics Department, Faculty of Pharmacy, Kuwait University, Kuwait City 13110, Kuwait 5. Department of Immunology & Microbiology, Dasman Diabetes Institute, P.O. Box 1180, Kuwait City 15462, Kuwait 6. Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City 15462, Kuwait 7. Faculty of Medicine, Kuwait University, Kuwait City 13110, Kuwait
Abstract
Adipocyte P2 (aP2), also known as FABP4, is an adipokine that adipose tissue produces and expresses in macrophages. Its primary role is to facilitate the transportation of fatty acids across cell membranes. Numerous studies have reported associations between FABP4 and the development of metabolic disorders. However, there is limited knowledge regarding FABP4 expression in diabetes and obesity, especially about different age groups, genders, and ethnicities. This study aims to investigate the association between FABP4 levels, diabetes mellitus, and obesity within various ethnic groups. We measured plasma FABP4 concentrations in a cohort of 2083 patients from the KDEP study and gathered anthropometric data. Additionally, we collected and analyzed clinical, biochemical, and glycemic markers using multivariate regression analysis. The average FABP4 concentration was significantly higher in female participants than in males (18.8 ng/mL vs. 14.4 ng/mL, p < 0.001, respectively), and in those over 50 years old compared to those under 50 years of age (19.3 ng/mL vs. 16.2 ng/mL, p < 0.001, respectively). In this study, significant positive associations were found between the plasma level of FABP4 and obesity markers: BMI (r = 0.496, p < 0.001), hip circumference (r = 0.463, p < 0.001), and waist circumference (WC) (r = 0.436, p < 0.001). Similar observations were also seen with glycemic markers, which included HbA1c (r = 0.126, p < 0.001), fasting blood glucose (FBG) (r = 0.184, p < 0.001), fasting insulin (r = 0.326, p < 0.001), and HOMA-IR (r = 0.333, p < 0.001). Importantly, these associations remained significant even after adjusting for age, gender, and ethnicity. Furthermore, FABP4 levels were negatively associated with male gender (β: −3.85, 95% CI: −4.92, −2.77, p < 0.001), and positively associated with age (β: 0.14, 95% CI: 0.096, 0.183, p < 0.001), BMI (β: 0.74, 95% CI: 0.644, 0.836, p < 0.001), and fasting insulin (β: 0.115, 95% CI: 0.091, 0.138, p < 0.001). In this study, plasma FABP4 levels were significantly higher in diabetic and obese participants, and they were strongly influenced by age, gender, and ethnicity. These findings suggest that FABP4 may serve as a valuable prognostic and diagnostic marker for obesity and diabetes, particularly among female patients, individuals over 50 years old, and specific ethnic groups.
Funder
Kuwait Foundation for the Advancement of Sciences
Reference39 articles.
1. FABP4 in macrophages facilitates obesity-associated pancreatic cancer progression via the NLRP3/IL-1beta axis;Yang;Cancer Lett.,2023 2. New insights into the treatment of obesity;Bluher;Diabetes Obes. Metab.,2023 3. Lancet Diabetes & Endocrinology Commission on the Definition and Diagnosis of Clinical Obesity;Rubino;Lancet Diabetes Endocrinol.,2023 4. Safaei, M., Sundararajan, E.A., Driss, M., Boulila, W., and Shapi’i, A. (2021). A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity. Comput. Biol. Med., 136. 5. Obesity: Causes, consequences, treatments, and challenges;Jia;J. Mol. Cell Biol.,2021
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