The Importance of Multifactorial Analysis in Molecular Obesity Studies: A Methodological Example on the Effects of Boron Compounds on SIRT1
The International Congress of Health Disciplines, Bilecik, Türkiye, 4 - 05 Şubat 2026, cilt.1, sa.3, ss.23, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Cilt numarası: 1
- Basıldığı Şehir: Bilecik
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.23
- Dokuz Eylül Üniversitesi Adresli: Evet
Özet
This study examines the effects of boron compounds (boric acid (BA) and calcium fructoborate (CaFB)) on the SIRT1 pathway in adipogenesis at the mRNA, protein, and enzymatic levels, with the aim of highlighting the critical importance of methodological diversity and multifactorial analyses in molecular obesity research. Focusing solely on gene expression levels when defining the effects of anti-obesity candidate compounds can lead to an incomplete explanation of the mechanism. Therefore, considering methodological differences and molecular-level variations in results is fundamental to achieving a complete understanding of the mechanisms of action. In our study, we used the differentiated 3T3-L1 preadipocyte cell line model. The SIRT1 mRNA level in cells treated with CaFB and BA was measured by quantitative PCR (qPCR), and the protein level was measured by enzyme-linked immunosorbent assay (ELISA). Additionally, the effect of boron compounds on the level of SIRT1 enzyme activity was determined using a cell-free method and fluorescence measurement. Our investigations revealed a significant increase in SIRT1 mRNA levels following the application of boron compounds. Specifically, we observed a threefold increase in mRNA levels for 5 mM CaFB (p < 0.001). However, this increase was not completely correlated with protein expression levels. Furthermore, SIRT1 activity measurements indicate that boron compounds inhibit SIRT1 enzyme activity in a dose-dependent manner. Significant inhibition of 42% was detected at a concentration of 20 mM CaFB (p < 0.001). These findings suggest that higher mRNA levels may be the result of a cellular feedback mechanism designed to compensate for low enzyme activity. Therefore, classifying a compound as an 'activator' based solely on mRNA data can be misleading. Post-translational changes and direct enzyme interactions can alter the outcome significantly. This study demonstrates that focusing solely on mRNA expression in obesity research may lead to inaccurate conclusions. To accurately elucidate molecular mechanisms, it is essential to evaluate findings through multifactorial methodological perspectives by integrating different experimental layers such as gene expression, protein levels, or biochemical activity assays.