Modulating Wnt/ß-Catenin Signaling Pathway on U251 and T98G Glioblastoma Cell Lines Using a Combination of Paclitaxel and Temozolomide, A Molecular Docking Simulations and Gene Expression Study.

One of the most lethal cancers, glioblastoma (GBM), affects 14.5% of all central nervous system (CNS) tumors. Patients diagnosed with GBM have a meager median overall survival (OS) of 15 months. Extensive genetic analysis has shown that many dysregulated pathways, including the Wnt/ß-catenin signaling system, contribute to the pathogenicity of GBM. Paclitaxel (PTX) and temozolomide (TMZ) are recognized to have therapeutic potential in several types of cancer, including GBM. This work aimed to examine the impact of PTX and TMZ on the human glioma cell lines U251 and T98G using molecular docking simulations and gene expression profiles in the Wnt/ß-catenin signaling pathway. Standard procedure for Molecular Docking simulation, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) cytotoxicity assay, and Flow Cytometry assay was used. Genes implicated in the Wnt/ß-catenin signaling pathway, including Dvl, Axin, APC, ß-catenin, and glycogen synthase kinase3-ß (GSK3ß), were subjected to real-time PCR. The estimated parameters for targets revealed that the average binding energy and inhibition constant (Ki) for the DVL, ß-Catenin, and GSK3ß, when targeted by PTX, were - 5.01 kcal/mol, - 5.4 kcal/mol, and - 9.06 kcal/mol, respectively. This energy range was - 6.34 kcal/mol for DVL, - 5.52 kcal/mol for ß-Catenin, and - 5.66 kcal/mol for GSK3ß as a result of TMZ's inhibitory actions. Gene expression analyses indicated that PTX and PTX/TMZ suppressed GSK3ß (p < 0.05). GSK3ß from the Wnt/ß-catenin signaling pathway was significantly targeted by PTX alone, and adding TMZ to PTX may improve the efficacy of glioblastoma treatment. In addition, the GSK3ß gene may help GBM therapy strategies as a potential PTX target.

Analysis of serum circulating MicroRNAs level in Malaysian patients with gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a severe global issue that requires immediate attention. MicroRNA expression abnormalities are possibly disease-specific and may contribute to GDM pathological processes. To date, there is limited data on miRNA profiling in GDM, especially that involves a longitudinal study. Here, we performed miRNA expression profiling in the entire duration of pregnancy (during pregnancy until parturition and postpartum) using a miRNA- polymerase chain reaction array (miRNA-PCRArray) and in-silico analysis to identify unique miRNAs expression and their anticipated target genes in Malay maternal serum. MiRNA expression levels and their unique potential as biomarkers were explored in this work. In GDM patients, the expression levels of hsa-miR-193a, hsa-miR-21, hsa-miR-23a, and hsa-miR-361 were significantly increased, but miR-130a was significantly downregulated. The area under the curve (AUC) and receiver operating characteristic (ROC) curve study demonstrated that hsa-miR-193a (AUC = 0.89060 ± 04,470, P = 0.0001), hsa-miR-21 (AUC = 0.89500 ± 04,411, P = 0.0001), and miR-130a (AUC = 0.6939 ± 0.05845, P = 0.0025) had potential biomarker features in GDM. In-silico analysis also revealed that KLF (Kruppel-Like family of transcription factor), ZNF25 (Zinc finger protein 25), AFF4 (ALF transcription elongation factor 4), C1orf143 (long intergenic non-protein coding RNA 2869), SRSF2 (serine and arginine rich splicing factor 2), and ZNF655 (Zinc finger protein 655) were prominent genes targeted by the common nodes of miR23a, miR130, miR193a, miR21, and miR361.Our findings suggest that circulating microRNAs in the first trimester has the potential for GDM screening in the Malay population.

Serum Glucose-Dependent Insulinotropic Polypeptide (GIP) and Glucagon-Like Peptide-1 (GLP-1) in association with the Risk of Gestational Diabetes: A Prospective Case-Control Study.

BACKGROUND: Defects in incretin have been shown to be related to the pathogenesis of type 2 diabetes. Whether such a deficiency happens in gestational diabetes mellitus (GDM) remains to be confirmed. We assessed the association of fasting glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) with GDM. We also studied the longitudinal circulation of these peptides during pregnancy and afterwards. METHODS: 53 women with GDM (30 managed with diet only (GDM-diet) and 23 treated with insulin (GDM-insulin)) and 43 pregnant women with normal glucose tolerance (NGDM) were studied, with GIP and GLP-1 levels measured at 24-28 weeks (E1), prior (E2) and after (E3) delivery, and postpuerperium (E4). RESULTS: Basal GIP was shown to be low in GDM groups compared to NGDM in E1, and in E4 for GDM-diet. GLP-1 was low in GDM groups during pregnancy and afterwards. At E1, serum GIP and GLP-1 were inversely associated with GDM and participants with lower levels of GIP (<0.23 ng/mL) and GLP-1 (<0.38 ng/mL) had a 6 (95% CI 2.5-14.5)- and 7.6 (95% CI 3.0-19.1)-fold higher risk of developing GDM compared with the higher level, respectively. In the postpuerperium, when there is a drop in ß-cell function, participants with previous GDM (pGDM) presented lower GLP-1 (in both GDM subgroups) and lower GIP in GDM-diet subgroup compared to controls. CONCLUSION: There is an independent, inverse association between fasting incretins and higher risk of GDM. Furthermore, lowered levels of these peptides may play an important role in the abnormality of glucose regulation following pregnancy.

A case-control study and meta-analysis confirm glucokinase regulatory gene rs780094 is a risk factor for gestational diabetes mellitus.

BACKGROUND: Although the influence of a common variant in the glucokinase regulatory gene (GCKR rs780094) in type 2 diabetes mellitus has been well documented, less data however, is available of its role in gestational diabetes mellitus (GDM). We carried out a case control study to assess the association between GCKR rs780094 and GDM in the Asian, and also a meta-analysis to further assess the strength of the association. METHODS: Demographic, clinical and genotype data were determined for 1122 women (267 cases and 855 controls) recruited from the University of Malaya Medical Centre in the Klang Valley, Kuala Lumpur. Relevant articles were identified from Pubmed, Embase, MEDLINE, and Web of Science. Extraction of data was carried out and summary estimates of the association between rs780094 and GDM were examined. RESULTS: The frequency of risk allele C was significantly higher in the cases than controls (OR 1.34, 95% CI 1.09-1.66, P = 0.006). The C allele was also associated with increased level of random 2-hour fasting plasma glucose and pregravid body mass index. Meta-analysis further confirmed the association of the GCKR rs780094 with GDM (OR 1.32, 95% CI 1.14-1.52, P = 0.0001). CONCLUSION: This study strongly suggests that GCKR rs780094-C is associated with increased risk of GDM.