Phillyrin alleviates high glucose-induced oxidative stress and inflammation in HBZY-1 cells through inhibition of the PI3K/Akt signaling pathway

BACKGROUND

Phillyrin, the major lignin compound of Forsythia suspense (Thunb.) Vahl, has been shown the effects of anti-inflammatory and antioxidant. Our study was aimed to explore the protective effect of phillyrin on glomerular mesangial cells (HBZY-1) and the potential mechanism.

METHODS

Cell viability, cytokine production, levels of reactive oxygen radicals (ROS), glutathione (GSH), malondialdehyde (MDA), and superoxide dismutase (SOD), as well as autophagy and apoptosis levels were determined to verify the mechanism of phillyrin on HBZY-1 cells.

RESULTS

Our result indicated that phillyrin significantly inhibited HG-induced HBZY-1 proliferation by inhibiting Bcl-2 expression and upregulating Bad, cleaved caspase-3, and -9 expression. Also, phillyrin suppressed HG-induced mesangial extracellular matrix accumulation by inhibiting the expression of fibronectin and transforming growth factor-β1. Further, phillyrin inhibited oxidative stress and inflammation by decreasing ROS, MDA, TNF-α, IL-1β, and IL-6 contents and increasing SOD and GSH expression. Phillyrin also promoted autophagy by increasing LC3-II/LC3-I ratio and down-regulating p62 expression. Furthermore, WB assay showed that phillyrin inhibited oxidative stress caused by HG via activating Nrf2 signaling pathway, while attenuated proliferation and inflammation in HBZY-1 cells through inactivating PI3K/Akt/mTOR and NF-κB pathways.

CONCLUSION

All results showed that phillyrin might be a promising therapeutic agent for the treatment of DN.

Targeted metabolomic analysis of serum amino acids in heart failure patients

Heart failure (HF) has been recognized as a global epidemic with high rates of morbidity, hospitalization, and mortality. The role of amino acids, which provide the body with energy, in the development of HF is still unclear. The aim of this study was to explore changes in serum amino acids in patients with HF and identify potential biomarkers. First, the serum amino acid metabolism profiles of 44 patients with HF and 30 healthy controls (Con) were quantitatively measured. Then, candidate markers were identified through the utilization of T test, multivariate statistical analysis, and receiver operating characteristic (ROC) curve analysis. The results found that there were 11 amino acid levels that were significantly different between patients with HF and Con. Based on ROC curve analysis, the biomarkers of eight amino acids (Glutamic acid, Taurine, L-aspartic acid, L-ornithine, Ethanolamine, L-Serine, L-Sarcosine, and Cysteine) showed high sensitivity and specificity (AUC > 0.90), and binary logistic regression analysis was used in MetaboAnalyst 5.0. Among the amino acids examined, six exhibited notable alterations in accordance with the severity of HF. In conclusion, this study cannot only provide clinicians with an objective diagnostic approach for the early identification of HF, but also enhances comprehension of the underlying mechanisms involved in the pathogenesis of HF.