Neuroprotective Effects of [Formula: see text]-Terpinene in Rats with Acute Cerebral Ischemia: Modulation of Inflammation, Apoptosis, and Oxidation.

The study aimed to assess 𝛾-Terpinene's (𝛾-TER) neuroprotective potential in acute cerebral ischemia, characterized by reduced cerebral blood flow in rats. Middle cerebral artery occlusion (MCAO), a standard method for inducing cerebral ischemia, was employed in male Wistar rats. 𝛾-TER at varying doses (5, 10, and 15 mg/kg) were intraperitoneally administered during reperfusion onset. Neurological outcomes, cerebral infarct size, edema, and enzymatic activities (SOD, GPx, and catalase) in the brain were evaluated using diverse techniques. The study examined gene expression and pathways associated with neuroinflammation and apoptosis using Cytoscape software, identifying the top 10 genes involved. Pro-inflammatory and pro-apoptotic factors were assessed through real-time PCR and ELISA, while apoptotic cell rates were measured using the TUNEL and Flow cytometry assay. Immunohistochemistry assessed apoptosis-related proteins like Bax and bcl-2 in the ischemic area. 𝛾-TER, particularly at doses of 10 and 15 mg/kg, significantly reduced neurological deficits and cerebral infarction size. The 15 mg/kg dose mitigated TNF-α, IL-1ß, Bax, and caspase-3 gene and protein levels in the cortex, hippocampus, and striatum compared to controls. Furthermore, Bcl-2 levels increased in these regions. 𝛾-TER show cased neuroprotective effects by suppressing inflammation, apoptosis, and oxidation. In conclusion, 𝛾-TER, possessing natural anti-inflammatory and anti-apoptotic properties, shields the brain against ischemic damage by reducing infarction, edema, oxidative stress, and inflammation. It modulates the expression of crucial genes and proteins associated with apoptosis in diverse brain regions. These findings position 𝛾-TER as a potential therapeutic agent for ischemic stroke.

CRISPR du-HITI an attractive approach to targeting Long Noncoding RNA HCP5 as inhibitory factor for proliferation of ovarian cancer cell.

This research provides a glimmer of hope that the knockout of HCP5 leads to a therapy response to considerably prolong the life of patients with OC. RT-PCR evaluated the expression of lncRNA HCP5 in the ovarian cancer OVCAR-3 cell line. CRISPR knockout cell lines validated by western blot. Small genomic deletions at the targeted locus were induced. CCK-8 colony formation assays were used to analyze the effect of HCP5 knockout on the proliferation capacity of OVCAR-3 cells. Transwell migration and invasion assayed. Furthermore, the Sphere-formation assay isolated the most aggressive population of cancer stem cells. Bioinformatic analysis showed a significant correlation between lncRNA HCP5 up-regulation and OVCAR-3 cell proliferation. The ChIP technique assesses specific sites of interaction between transcription factors and DNA. Real-time PCR assays explored the relationship between HCP5, Hsa-miR-9-5p, CXCR4, CDH1, caspase-3, p53, bcl2 and survivin. PCR carried out amplification of the 448-bp band for sgRNA1 and sgRNA2 after the use of particular primers for HCP5. the number of breast cancer cells that moved to the bottom chamber reduced considerably after transfection with PX461-sgRNA1/2 vectors compared to the Blank control groups (P < 0.05). MTT assay designated growth curves that showed the rate of OVCAR-3 growth was significantly repressed (***P < 0.001) when compared with control OVCAR-3 cells after HCP5 knockdown. Also, the survival results of W.T cells in 24, 48 and 72 h showed 92%, 87% and 85%, respectively. This is while the cells of the CRISPR/Cas9 group in which LncRNA HCP5 was knocked out had 42% (*P < 0.05), 23%(**P < 0.01) and 14% (**P < 0.01) survival, respectively. The expression levels of caspase-3, Hsa-miR-9-5p, P53 genes in the HCP5 deletion of CRISPR/Cas9 group significantly increased than the W.T. control group; the deletion group showed a considerable reduction in HCP5 expression compared to the blank control group (3.6-fold, p < 0.01). Whereas BCL2, SURVIVIN, CXCR4, CDH1 genes expression markedly increased than in HCP5 knockout cells (5.8-fold, p < 0.05). These results indicate that CRISPR/Cas9-mediated HCP5 disruption on OVCAR-3 cell lines promotes anti-tumor biomarkers, suppressing ovarian cancer progression. Consistent with these results, HCP5 is one of the most critical lnc for the efficient proliferation and migration of OVCAR-3 cell lines.

Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.

The third leading cause of cancer-related deaths in the world, colorectal cancer (CRC) is a global health issue that should be addressed in both diagnostics and therapeutics to improve patient survival rate. Today, microarray data analysis is increasingly being used as a novel and effective method for classification of malignancies and making prognostic assessments. Built upon the concept of microarray data analysis and aimed at the identification of CRC-associated genes, our study has adopted an integrative analysis for the gene expression patterns of four microarray datasets in gene expression omnibus (GEO) and microRNAs (miRNAs) expression profiles. We downloaded four gene expression profiles, i.e., GSE37182, GSE25070, GSE10950, and GSE113513, miRNAs gene expression profiles and differentially expressed genes (DEGs). We used R software, the DAVID database, protein-protein interaction (PPI) networks, the Cytoscape program and receiver operating characteristic (ROC) curve for data analysis. Out of the four gene expression profiles, a total of 43 common DEGs were identified, including 10 hub genes, SLC26A3, CLCA1, GUCA2A, MS4A12, CLCA4, GUCA2B, KRT20, AQP8, MAOA, and ADH1A, and four differentially expressed miRNAs, miR-552, miR-423-5p, miR-502-3p, and miR-490-5p. The highly enriched modes of the signaling pathways among these DEGs were speculated to be involved in various processes including nitrogen metabolism, mineral absorption, pancreatic secretions, and tyrosine metabolism in Kyoto encyclopedia of genes and genomes (KEGG) database. According to our bioinformatics analysis, the DEGs identified in the present study could be considered as significant hallmarks in the molecular mechanisms of CRC development. Our findings may assist scientists with developing novel strategies not only for prediction of CRC, but also for screening and early diagnosis, and treatment of CRC patients.