Akademik Veri Yönetim Sistemi
49. FEBS Congress, İstanbul, Türkiye, 4 - 09 Temmuz 2025, ss.1, (Özet Bildiri)
Metabolic syndrome (MetS) is a global health problem, with prevalence estimates ranging from 20 to 30% among adults worldwide. MetS is characterized by components of abdominal obesity, hyperglycemia, hypertriglyceridemia, low highdensity lipoprotein cholesterol (HDLC) and hypertension. It is necessary to understand the complex pathophysiology of metabolic syndrome, a task that remains to be fully elucidated. In this regard, metabolomics has emerged as a pivotal tool, finding extensive application in the diagnosis of metabolic diseases, the identification of potential biomarkers, and the exploration of underlying pathophysiological mechanisms. In the present study, the MetS group comprised ten adults over the age of 60 who met at least three of the five components, while the control group comprised five adults over the age of 60 who did not have any of the five components. The groups were matched by age and gender, and shared a common geographic
background, residing in the Marmara region. Plasma untargeted metabolomics was performed by ultrahigh performance liquid chromatography tandem mass spectrometry (UHPLCMS/MS) using orbital ion trap analyzer and operating in datadependent acquisition (DDA) mode. In comparison with the control group; 45,
27, 10, 6 and 14 metabolites, particularly those related to fatty acid synthesis and the beta oxidation of longchain fatty acids, were identified as being different in the abdominal obesity, hyperglycemia, hypertriglyceridemia, low HDLC and hypertension components, respectively (p< 0.05 for all). One metabolite, N2Acetylornithine,
was found to be significantly lower in all five components of the MetS compared to the control group (p=0.025, log2 fold hange:2.75). These potential metabolites need to be confirmed and quantified by targeted metabolomics studies. Furthermore, in order to elucidate their roles in the pathophysiology of MetS, it is necessary to
conduct more indepth studies with larger populations.