Acacetin ameliorates insulin resistance in obesity mice through regulating Treg/Th17 balance via MiR-23b-3p/NEU1 Axis.

BACKGROUND: The role of miR-23b-3p in insulin resistance (IR) remained poorly understood. METHODS: After acacetin injection, obesity-induced IR model was constructed with or without miR-23b-3p upregulation and Neuraminidase 1 (NEU1) overexpression in mice. Body weight, serum metabolite and fat percent of the mice were measured. Tests on oral glucose and insulin tolerance were performed, and inflammatory cytokines C-reactive protein (CRP), Interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and monocyte chemoattractant protein 1 (MCP1) levels were quantified with enzyme-linked immunosorbent assay (ELISA). The binding sites between miR-23b-3p and NEU1 were predicted by TargetScan, and verified using dual-luciferase reporter assay. Relative expressions were detected with quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot. Proportion of Treg and Th17 cells in total CD4+ T cells was detected with flow cytometry. RESULTS: MiR-23b-3p offset the effects of acacetin on body weight, fat percent, inflammatory cytokines levels and expressions of markers of regulatory T cells (Treg cells) and T helper 17 cells (Th17 cells), NEU1 and miR-23b-3p. NEU1 was a target of miR-23b-3p, and overexpressed NEU1 reversed the effects of upregulated miR-23b-3p on reducing Treg cells but increased body weight, fat percent and inflammatory cytokines levels, percentage of Th17 cells, and upregulated NEU1 expression. CONCLUSION: Upregulation of miR-23b-3p offset the effects of acacetin on obesity-induced IR through regulating Treg/Th17 cell balance via targeting NEU1.The present findings provide a possible prevention strategy for obesity-induced IR.

Two novel serum biomarkers for endometriosis screened by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry and their change after laparoscopic removal of endometriosis.

OBJECTIVE: To explore novel endometriosis serum biomarkers by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). DESIGN: First, we aimed to discover the potential biomarkers of endometriosis by SELDI-TOF-MS. Second, blinded test was performed to characterize the effectiveness of the model by examining the sensitivity and specificity. Third, 29 postoperative patients with endometriosis were recruited to monitor the change of potential biomarkers after laparoscopic surgery. SETTING: Collaborative investigation in an academic research environment. PATIENT(S): Fifty-nine patients with endometriosis, 31 patients without endometriosis, and 30 healthy volunteers. INTERVENTION(S): Blood serum of endometriosis and control group patients. MAIN OUTCOME MEASURE(S): Protein expression. RESULT(S): Two endometriosis-specific proteins were found in the preliminary screening study. Furthermore, the blinded test was performed and showed a sensitivity of 86.67% and a specificity of 96.77% of the markers for detecting endometriosis, which are significantly higher than those of CA-125 for distinguishing patients with endometriosis from patients without endometriosis. After surgery, the levels of these biomarker proteins decreased to levels comparable with those of patients without endometriosis. CONCLUSION(S): We discovered the potential biomarkers of endometriosis and set up a diagnostic model with a sensitivity of 86.67% and a specificity of 96.77%, which is significantly higher than that of CA-125 for detecting endometriosis, The levels of these proteins decreased to levels comparable with those of patients without endometriosis.