Sex- and Age-Related Metabolic Characteristics of Serum Free Fatty Acids in Healthy Chinese Adults
Autor: | Linjing Zhao, Congrong Wang, Jiashuai Huang, Aihua Zhao, Xiaohui Liu, Xiaojing Ma, Weiping Jia, Wei Jia, Lixin Wang, Yuqian Bao, Fangjia Hao |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male 0301 basic medicine China medicine.medical_specialty Adipose tissue Fatty Acids Nonesterified Biochemistry 03 medical and health sciences chemistry.chemical_compound Internal medicine Lipidomics medicine Humans Lipolysis Triglycerides chemistry.chemical_classification 030102 biochemistry & molecular biology business.industry Fatty Acids Confounding Chinese adults General Chemistry 030104 developmental biology Endocrinology Adipose Tissue chemistry Docosahexaenoic acid Female lipids (amino acids peptides and proteins) Docosapentaenoic acid business Polyunsaturated fatty acid |
Zdroj: | Journal of Proteome Research. 19:1383-1391 |
ISSN: | 1535-3907 1535-3893 |
Popis: | Free fatty acids (FFAs), also named nonesterified fatty acids, largely originate from the lipolysis of triacylglycerol stored in adipose tissue. Despite extensive research on sex- and age-dependent effects on lipolysis and lipid mobilization of adipose tissue, the primary differences in the metabolic characteristics of circulating FFAs among normal-weight healthy men and women during aging are still unclear. Here, we measured the concentrations of 45 FFAs in fasting sera of two Chinese community-based studies consisting of 201 metabolically healthy normal-weight adults to ascertain the associations of sex and age with FFA compositions and their upstream and downstream relations. Results showed greater conversions toward n-3 polyunsaturated fatty acids of docosahexaenoic acid and n-6 of docosapentaenoic acid from their precursors in women than in men. Meanwhile, there were significantly positive correlations between the concentrations of a panel of saturated fatty acids with straight chain or branched chain and age in women, whereas no association was found in men. These findings highlight that sex and age should be considered as the potential confounding factors in assessing the risk for metabolic disturbance using FFA biomarkers. |
Databáze: | OpenAIRE |
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