Background: Lipids, as a fundamental cell component, play an regulating role in controlling the different cellular biological processes involved in viral infections. A notable feature of coronavirus disease 2019 (COVID-19) is impaired lipid metabolism. The function of lipophagy-related genes in COVID-19 is unknown. The present study aimed to investigate biomarkers and drug targets associated with lipophagy and lipophagy-based therapeutic agents for COVID-19 through bioinformatics analysis. Methods: Lipophagy-related biomarkers for COVID-19 were identified using machine learning algorithms such as random forest, Support Vector Machine-Recursive Feature Elimination, Generalized Linear Model, and Extreme Gradient Boosting in three COVID-19-associated GEO datasets: scRNA-seq (GSE145926) and bulk RNA-seq (GSE183533 and GSE190496). The cMAP database was searched for potential COVID-19 medications. Results: The lipophagy pathway was downregulated, and the lipid droplet formation pathway was upregulated, resulting in impaired lipid metabolism. Seven lipophagy-related genes, including ACADVL, HYOU1, DAP, AUP1, PRXAB2, LSS, and PLIN2, were used as biomarkers and drug targets for COVID-19. Moreover, lipophagy may play a role in COVID-19 pathogenesis. As prospective drugs for treating COVID-19, seven potential downregulators (phenoxybenzamine, helveticoside, lanatoside C, geldanamycin, loperamide, pioglitazone, and trichostatin A) were discovered. These medication candidates showed remarkable binding energies against the seven biomarkers. Conclusions: The lipophagy-related genes ACADVL, HYOU1, DAP, AUP1, PRXAB2, LSS, and PLIN2 can be used as biomarkers and drug targets for COVID-19. Seven potential downregulators of these seven biomarkers may have therapeutic effects for treating COVID-19.

Background: Gandouling (GDL) is a compound prepared in Chinese medicine and demonstrates favorable clinical efficacy. Studies have shown that sinusoid capillarization promoted hepatic fibrosis and was a potential target for preventing and treating liver fibrosis in Wilson’s disease (WD). This study aimed to explore whether GDL inhibited the sinusoid capillarization in WD by blocking the communication between hepatic stellate cells (HSCs) and liver sinusoidal endothelial cells (LSECs). Methods: In this study, Atp7b-H1071Q (TX) mice were used as the WD model mice, and CuSO₄⋅5H₂O treated LX-2 cells were used as the HSC activation model. We used scanning electron microscopy, vascular tube formation assay, Western blot, cell transfection, and co-culture system to study how GDL blocked the communication between HSCs and LSECs, as well as its inhibitory effect on the sinusoid capillarization. Results: We found that GDL alleviated liver fibrosis in TX mice, inhibited HSC activation, and sinusoid capillarization in TX mice. Excessive secreted VEGFA by LX-2 cells promoted the sinusoid capillarization, played the role of a messenger molecule, and GDL blocked the VEGFA-mediated HSCs-LSECs communication. Furthermore, bioinformatics analysis, molecular docking, and molecular dynamics suggested that GDL may exert its effect by modulating the PDGFRβ/ERK/VEGFA signaling axis. We validated the above observation through experiments, that GDL reduced PDGFRβ/ERK signal pathway in LX-2 cells, inhibited the expression of messenger molecule VEGFA, blocked HSCs-LSECs communication, inhibited sinusoid capillarization, and improved WD. Conclusions: GDL blocked the communication between HSCs and LSECs and inhibited the sinusoid capillarization associated with liver fibrosis in WD by the PDGFRβ/ERK/VEGFA signaling axis.