MicroRNA 98-5p Overexpression Contributes to Delayed Fracture Healing via Targeting BMP-2.

MicroRNAs (miRNAs) are related to the regulation of bone metabolism. Delayed fracture healing (DFH) is a common complication after fracture surgery. The study attempted to examine the role of miR-98-5p and bone morphogenetic protein (BMP)-2 with the onset of DFH. A total of 140 patients with femoral neck fracture were recruited, including 80 cases with normal fracture healing (NFH) and 60 cases with DFH. MC3T3-E1 cells were induced cell differentiation for cell function experiments. Real-time quantitative polymerase chain reaction (RT-qPCR) was carried out to test mRNA levels. Cell proliferation and apoptosis were determined via CCK-8 and flow cytometry assay. Luciferase reporter assay was done to verify the targeted regulatory relationship of miR-98-5p with BMP-2. In comparison with NFH cases, DFH patients owned high levels of serum miR-98-5p and low concentration of BMP-2, and the levels of the two indexes are significantly negatively correlated. Both miR-98-5p and BMP-2 had the ability to predict DFH, while their combined diagnostic value is the highest. BMP-2 was demonstrated to be the target gene of miR-98-5p. Overexpression of BMP-2 reversed the role of miR-98-5p in MC3T3-E1 cell proliferation, apoptosis and differentiation. Increased miR-98-5p and decreased BMP-2 serve as potential biomarkers for the diagnosis of DFH. MiR-98-5p overexpression inhibits osteoblast proliferation and differentiation via targeting BMP-2.

[Action mechanism of Huotu Jiji Pellets in the treatment of erectile dysfunction: An exploration based on network pharmacology and molecular docking].

OBJECTIVE: To explore the potential action mechanism of Huotu Jiji Pellets (HJP) in the treatment of erectile dysfunction (ED) based on network pharmacology and molecular docking. METHODS: We identified the main effective compounds and active molecular targets of HJP from the database of Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Integrative Pharmacology-Based Research Platform of Traditional Chinese Medicine (TCMIP) and the therapeutic target genes of ED from the databases of Genecards. Then we obtained the common targets of HJP and ED using the Venny software, constructed a protein-protein interaction (PPI) network of HJP acting on ED, and screened out the core targets with the Cytoscape software. Lastly we performed GO functional enrichment and KEGG pathway enrichment analyses of the core targets followed by molecular docking of HJP and the core targets using Chem3D and AutoDock Tools and QuickVina-W software. RESULTS: A total of 64 effective compounds, 822 drug-related targets, 1 783 disease-related targets and 320 common targets were obtained in this study. PPI network analysis showed that the core targets of HJP for ED included ESR1, HSP90AA1, SRC, and STAT3. GO functional enrichment analysis indicated the involvement of the core targets in such biological processes as response to xenobiotic stimulus, positive regulation of kinase activity, and positive regulation of MAPK cascade. KEGG pathway enrichment analysis suggested that PI3K-Akt, apoptosis, MAPK, HIF-1, VEGF, autophagy and other signaling pathways may be related to the mechanism of HJP acting on ED. Molecular docking prediction exhibited a good docking activity of the key active molecules of HJP with the core targets. CONCLUSION: This study showed that HJP acted on ED through multi-components, multi-targets and multi-pathways, which has provided some evidence and reference for the clinical treatment and subsequent studies of the disease.

[Exploring the mechanisms of ferroptosis in non-obstructive azoospermia based on bioinformatics and machine learning].

OBJECTIVE: To explor the potential mechanisms of ferroptosis involvement in non-obstructive azoospermia based on bioinformatics and machine learning methods. METHODS: To obtain disease-related datasets and ferroptosis-related genes, we utilized the GEO database and FerrDb database, respectively. Using the R software, the disease dataset was subjected to normalization, differential analysis, and GO and KEGG enrichment analysis. The differentially expressed genes from the disease dataset were then intersected with the ferroptosis-related genes to identify common genes. Core genes were selected using three machine learning algorithms, namely LASSO, SVM-RFE, and random forest. Further analysis included exploring immune infiltration correlation, predicting target drugs, and conducting molecular docking simulations. RESULTS: The differential analysis of the GSE45885 dataset yielded 1751 differentially expressed genes, while the GSE145467 dataset yielded 4358 differentially expressed genes. The intersection of these two gene sets resulted in a disease-related gene set consisting of 508 genes. Taking the intersection of the disease-related gene set and the ferroptosis-related gene set, we obtained 17 disease-related ferroptosis genes. After machine learning-based screening, three core genes were identified: GPX4, HSF1, and KLHDC3. CONCLUSION: The mechanism underlying the involvement of ferroptosis in non-obstructive azoospermia may be linked to the downregulation of GPX4, HSF1, and KLHDC3 expression. This finding provides a basis for subsequent in-depth mechanistic and therapeutic studies.

A study on molecular mechanism of Xihuang pill in the treatment of glioblastoma based on network pharmacology and validation in vitro and in vivo.

ETHNOPHARMACOLOGICAL RELEVANCE: Xihuang pill has been utilized to treat cancer for more than three hundred years in China. The molecular mechanisms of Xihuang pill in treating glioblastoma remains unclear. AIM OF THE STUDY: This study aimed to explore the core molecular mechanisms of Xihuang pill in treating glioblastoma by an integrative pharmacology-based investigation. MATERIALS AND METHODS: The main active compounds of Xihuang pill were identified from TCMSP, BATMAN-TCM, TCMID and CNKI. Glioblastoma-related therapeutic targets were retrieved from GeneCards and UniProt. Subsequently, a protein-protein interaction (PPI) network analysis was constructed using STRING. GO and KEGG enrichment were performed to analyze the intersection targets between the active compounds of Xihuang pill and glioblastoma. Based on the above analysis, we built a CTP network. The in vitro and in vivo experiments were further performed to validate the crucial molecular targets of Xihuang pill for the treatment of glioblastoma. RESULTS: A total of sixty active compounds of Xihuang pill and ten potential targets related to glioblastoma were found. Based on topological analysis, fourteen ingredients were selected as the main active compounds, and MY11 might be the most important metabolite in Xihuang pill. PI3K/Akt signaling pathway and receptor tyrosine kinases were considered as crucial targets for Xihuang pill against glioblastoma through KEGG enrichment and CTP analysis. The present experiments indicated that Xihuang pill suppressed the activation of PI3K/Akt/mTOR signaling pathway in glioblastoma cells and mouse xenografts via modulating the expression of PTEN and Rheb proteins, the interaction between TSC2 and Rheb, and the production of PIP3. Meanwhile, after glioblastoma cells treatment with Xihuang pil, the release of IL-1ß, INF-γ was increased and the production of IL-10, TGF-ß1 was decreased in glioblastoma cells after incubated with Xihuang pill. In addition, the activation of the upstream positive modulators of PI3K/Akt/mTOR pathway including PDGF/PDGFR and FGF/FGFR signaling were down-regulated in glioblastoma cells and mouse xenografts after treatment with Xihuang pill. CONCLUSION: Taken together, Xihuang pill inhibiting glioblastoma cell growth might be partly through down-regulating the activation of PDGF/PDGFR or FGF/FGFR-PI3K/Akt/mTOR signaling axis and improving immuno-suppressive micro-environment of glioblastoma.