Smilax glabra Roxb. (SG) is a well-known traditional Chinese medicine that has been extensively used as both food and folk medicine in many countries. Although many beneficial health effects of SG and its primary components have been reported, their action on adipocyte function remains unknown. In the present study, we investigated the effects of the total flavonoids from Smilax glabra Roxb. (SGF) on lipid accumulation in mouse 3T3-L1 adipocytes and further elucidated its potential mechanism using RNA-Seq transcriptome technique. Our results showed that SGF exposure significantly decreased the lipid droplet size and the levels of cellular free fatty acids, while triglyceride accumulation was not affected by SGF. Transcriptome analysis revealed that SGF induced the expression of genes involved in triglyceride storage, fatty acid β-oxidation and mitochondrial biogenesis. Furthermore, we also observed an increased cellular ATP level and mitochondrial mass after SGF exposure, indicating that SGF enhanced mitochondrial function. The other relevant transcriptional changes appeared to be involved in AMPK/PGC-1α signaling, inflammatory response, as well as PI3K/AKT and calcium signaling pathways, which might contribute to the beneficial metabolic effects of SGF on adipocyte function. The results of Western blotting confirmed that SGF could increase the phosphorylation of AMPK while decrease the phosphorylation of AKT in adipocytes. Altogether, our results provided novel information about the molecular mechanism responsible for the effects of SGF on fat storage in adipocytes and highlights the potential metabolic benefits of SGF on human obesity and its related chronic diseases.

Renal fibrosis (RF) is the common pathological manifestation and central treatment target of multiple chronic kidney diseases with high morbidity and mortality. Currently, the molecular mechanisms underlying RF remain poorly understood, and exploration of RF-related hub targets and pathways is urgently needed. In this study, two classical RF rat models (adenine and UUO) were established and evaluated by HE, Masson and immunohistochemical staining. To clear molecular mechanisms of RF, differentially expressed genes (DEGs) were identified using RNA-Seq analysis, hub targets and pathways were screened by bioinformatics (functional enrichment analyses, PPI network, and co-expression analysis), the screening results were verified by qRT-PCR, and potential drugs of RF were predicted by network pharmacology and molecular docking. The results illustrated that renal structures were severely damaged and fibrotic in adenine- and UUO-induced models, as evidenced by collagen deposition, enhanced expressions of biomarkers (TGF-β1 and α-SMA), reduction of E-cadherin biomarker, and severe renal function changes (significantly decreased UTP, CREA, Ccr, and ALB levels and increased UUN and BUN levels), etc. 1189 and 1253 RF-related DEGs were screened in the adenine and UUO models, respectively. Two key pathways (AGE-RAGE and NOD-like receptor) and their hub targets (Tgfb1, Col1a1, Nlrc4, Casp4, Trpm2, and Il18) were identified by PPI networks, co-expressed relationships, and qRT-PCR verification. Furthermore, various reported herbal ingredients (curcumin, resveratrol, honokiol, etc.) were considered as important drug candidates due to the strong binding affinity with these hub targets. Overall, this study mainly identified two key RF-related pathways (AGE-RAGE and NOD-like receptor), screened hub targets (Tgfb1, Col1a1, Nlrc4, Casp4, Trpm2, and Il18) that involved inflammation, ECM formation, myofibroblasts generation, and pyroptosis, etc., and provided referable drug candidates (curcumin, resveratrol, honokiol, etc.) in basic research and clinical treatment of RF.