MiR-30b-5p regulates the lipid metabolism by targeting PPARGC1A in Huh-7 cell line

Abstract

Background: MiRNAs are a group of multifunctional non-coding RNAs which play an important role in the various physiological processes including the development of NAFLD. Recent studies have shown that miR-30b-5p tightly associated with the abnormal lipid metabolism in patients with NAFLD, but the detailed mechanism of miR-30b-5p in the lipid metabolism was remain unclear. The aim of this study was to investigate the effect of miR-30b-5p on the lipid metabolism in hepatocellular carcinoma Huh-7 cells. Material and methods: The correlation of intracellular fat content with the expression of miR-30b-5p in Huh-7 cells and HepG2 cells was investigated by treated cells with different concentrations of FFAs. The effect of miR-30b-5p on the lipid deposition in Huh-7 cells was tested by oil red O staining and TG concentrations measurement. qRT-PCR and western blot were used to investigate the lipid metabolism-related genes PPAR-α, SREBP-1, and GULT1 in miR-30b-5p overexpressed or inhibited Huh-7 cells. Target genes of miR-30b-5p were predicted using starBase, miRDB, and TargetScan databases and verified by qRT-PCR and western blot. Results: The expression of miR-30b-5p was significant decreased in the FFAs treated Huh-7 cells and HepG2 cells. Overexpressing miR-30b-5p in Huh-7 cells decreased the number and size of lipid droplets and intracellular TG concentrations in Huh-7 cells. Expression of fatty acid oxidation related gene PPAR-α was increased and expression of lipid synthesis related gene SREBP-1 was decreased in the miR-30b-5p overexpressed Huh-7 cells. In addition, miR-30b-5p regulates the intracellular lipid metabolism by targeting PPARGC1A. Conclusions: Overexpression of miR-30b-5p could reduce the intracellular fat deposition in Huh-7 cells, and miR-30b-5p might regulate the intracellular lipid metabolism by targeting the PPARGC1A in Huh-7 cells.

DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures

“…The location of cg07504977 overlaps an active histone mark region within the promoter of LINC00263 [ 43 ], suggesting a role of methylation at this CpG site in the lncRNA transcription. Thus, it seems feasible that methylation at cg07504977 could affect LINC00263 expression, which in turn could directly adsorb or regulate the expression of miRNAs, and indirectly regulate the expression of miRNA target genes, e.g., miR-128, which directly inactivates ABCG1 [ 59 , 60 ]. Our results link methylation at cg07504977 to obesity and support this CpG as an emerging target for metabolic outcomes.…”

Juice fromFructus Rosae Roxburghiinormalizes blood lipids in mice with diet‐induced hyperlipidemia*†

“…Ppargc1a as a target could also regulate lipid metabolism. It was found that miR‐30b‐5p might regulate lipid metabolism by targeting the Ppargc1a in hepatocellular carcinoma Huh‐7 cells (Zhang et al., 2020). Trib3 and Lepr were both associated with the control of fatty acid synthesis besides for regulating TG, TC, and HDL‐C levels in plasma (Angyal & Kiss‐Toth, 2012; Domínguez‐Reyes et al., 2015).…”

“…RichFactor denotes the ratio of gene numbers in one pathway and all pathways. Q-value is tested; P-value ranging from 0 to 1 also a key therapeutic target for HLP (Araki et al, 2018 (Zhang et al, 2020). Trib3 and Lepr were both associated with the control of fatty acid synthesis besides for regulating TG, TC, and HDL-C levels in plasma (Angyal & Kiss-Toth, 2012;Domínguez-Reyes et al, 2015).…”

Endoplasmic Reticulum Stress Affects Cholesterol Homeostasis by Inhibiting LXRα Expression in Hepatocytes and Macrophages

“…The Image J 7.6 software was used to analyze these results. In brief [ 18 ], we opened the file of cell photos using Image J software, then clicked “image” and selected “adjust”; next, we selected “Color Threshold”. In this interface, we adjusted saturation and brightness of the photo to turn the area of the stained lipid droplets.…”

“…The cell numbers in each picture were counted for the difference of cell numbers in different pictures. The average lipid accumulation in each picture was equal to area/cell numbers [ 18 ].…”