| Autor: |
Csősz, Erdenetsetseg Nokhoijav, Andrea Guba, Ajneesh Kumar, Balázs Kunkli, Gergő Kalló, Miklós Káplár, Sándor Somodi, Ildikó Garai, Adrienne Csutak, Noémi Tóth, Miklós Emri, József Tőzsér, Éva |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
International Journal of Molecular Sciences; Volume 23; Issue 9; Pages: 4534 |
| ISSN: |
1422-0067 |
| DOI: |
10.3390/ijms23094534 |
| Popis: |
Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in serum and tear samples was analyzed. Statistical analysis and Pearson correlation analysis along with network analysis were carried out. Compared to controls, changes in the level of 6 analytes in the obese group and of 10 analytes in the T2D group were statistically significant. For obesity, the energy generation, while for T2D, the involvement of NO synthesis and its relation to insulin signaling and inflammation, were characteristic. We found that BCAA and glutamine metabolism, urea cycle, and beta-oxidation make up crucial parts of the metabolic changes in T2D. According to our data, the retromer-mediated retrograde transport, the ethanolamine metabolism, and, consequently, the endocannabinoid signaling and phospholipid metabolism were characteristic of both conditions and can be relevant pathways to understanding and treating insulin resistance. By providing potential therapeutic targets and new starting points for mechanistic studies, our results emphasize the importance of complex data analysis procedures to better understand the pathomechanism of obesity and diabetes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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