Context: Berberine is an alkaloid that possesses various pharmacologic effects. Objective: To explore the mechanism of berberine to improve insulin sensitivity in fructose-fed mice. Materials and methods: Sixty male ICR mice were randomly divided into 6 groups (10 mice in each group): control, fructose, pioglitazone (10 mg/kg) and berberine (50, 100, and 200 mg/kg). Except for the control group, the mice received 20% fructose drinking for 10 weeks. Pioglitazone and berberine were orally administered once daily during the last 4 weeks. The insulin sensitivity was evaluated using an oral glucose tolerance test (OGTT). The serum levels of fasting glucose and insulin, blood lipids, and hormones were determined. The hepatic AMP and ATP contents were detected using high performance liquid chromatography (HPLC) analysis, and the protein expression was examined by immunoblotting. Results: Berberine significantly reversed the insulin resistance induced by fructose, including lowering fasting insulin levels (from 113.9 to 67.4) and area under the curve (AUC) during OGTT (from 1310 to 1073), decreasing serum leptin (from 0.28 to 0.13) and increasing serum adiponectin levels (from 1.50 to 2.80). Moreover, berberine enhanced the phosphorylation levels of protein kinase B (PKB/AKT; 2.27-fold) and glycogen synthase kinase-3β (GSK3β; 2.56-fold), and increased hepatic glycogen content (from 0.19 to 1.65). Furthermore, berberine upregulated the protein expression of peroxisome proliferator activated receptor gamma coactivator 1α (PGC1α; 2.61-fold), phospho-AMP-activated protein kinase (p-AMPK; 1.35-fold) and phospho-liver kinase B1 (p-LKB1; 1.41-fold), whereas it decreased the AMP/ATP ratio (from 4.25 to 1.82). Conclusion: The present study demonstrated the protective effects of berberine against insulin resistance induced by fructose. Our findings may provide an experimental basis for the application of berberine in the treatment of insulin resistance.

In traditional Chinese medicine, the role of the liver in depression is highly valued, and liver-relieving drugs, such as Sinisan, are often used to treat depression; however, the mechanism whereby these drugs work remains unclear. The present study aimed to reveal possible antidepressant mechanisms of Sinisan (SNS) by analyzing hepatic proteomics in chronic unpredictable mild stress (CUMS) mice. Using the CUMS mouse model of depression, the antidepressant effects of SNS were assessed by the sucrose preference test (SPT) and forced swimming test (FST). Hepatic differentially expressed proteins (DEPs) after SNS treatment were investigated by tandem mass tag (TMT) based quantitative proteomics analysis. Then, a bioinformatics analysis of DEPs was conducted through hierarchical clustering, Venn analysis, Gene Ontology (GO) annotation enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. DEP genes were further validated by quantitative real-time polymerase chain reaction (qRT-PCR) analysis and western blotting. Behavioral results demonstrated that SNS significantly increased sucrose intake in SPT and shortened the immobility time in FST in model mice. Eighty-two DEPs were identified, including 37 upregulated and 45 downregulated proteins, between model and SNS groups. Enrichment analysis of GO annotations indicated that SNS primarily maintained cellular iron ion homeostasis by iron ion transportation and regulated expression of some extracellular structural proteins for oxidation-reduction processes. KEGG and Venn analysis showed that mineral absorption, steroid hormone biosynthesis and metabolism might be the principal pathways through which SNS acts on depression. Furthermore, several proteins involved in the biosynthesis and metabolism of steroid hormone pathways were significantly up/downregulated by SNS, including CYP2B19, CYP7B1 (validated by qRT-PCR) and HSD3b5 (validated by qRT-PCR and western blotting). Our results indicate that SNS plays important roles in antidepressant actions by restoring DEPs, resulting in the biosynthesis and metabolism of steroid hormones. The current results provide novel perspectives for revealing potential protein targets of SNS in depression.

Cinnamomi ramulus (CR) and Cinnamomi cortex (CC), both sourced from Cinnamomum cassia Presl, are commonly used Chinese medicines in the Chinese Pharmacopeia. However, while CR functions to dissipate cold and to resolve external problems of the body, CC functions to warm the internal organs. To clarify the material basis of these different functions and clinical effects, a simple and reliable UPLC-Orbitrap-Exploris-120-MS/MS method combined with multivariate statistical analyses was established in this study with the aim of exploring the difference in chemical compositions of aqueous extracts of CR and CC. As the results indicated, a total of 58 compounds was identified, including nine flavonoids, 23 phenylpropanoids and phenolic acids, two coumarins, four lignans, four terpenoids, 11 organic acids and five other components. Of these compounds, 26 significant differential compounds were identified statistically including six unique components in CR and four unique components in CC. Additionally, a robust HPLC method combined with hierarchical clustering analysis (HCA) was developed to simultaneously determine the concentrations and differentiating capacities of five major active ingredients in CR and CC: coumarin, cinnamyl alcohol, cinnamic acid, 2-methoxycinnamic acid and cinnamaldehyde. The HCA results showed that these five components could be used as markers for successfully distinguishing CR and CC. Finally, molecular docking analyses were conducted to obtain the affinities between each of the abovementioned 26 differential components, focusing on targets involved in diabetes peripheral neuropathy (DPN). The results indicated that the special and high-concentration components in CR showed high docking scores of affinities with targets such as HbA1c and proteins in the AMPK–PGC1–SIRT3 signaling pathway, suggesting that CR has greater potential than CC for treating DPN.