Apocynin attenuates methotrexate-induced mucositis by regulating NF-κB, PPAR-γ and Bax/Bcl-2/Puma signals.

Oxidative stress, inflammation and apoptosis are the primary inducers of Methotrexate (MTX)-induced mucositis. This research aimed to determine whether apocynin (APO) could protect against MTX-induced mucositis. The antioxidants, anti-inflammatory and anti-apoptotic actions of APO in this model will be evaluated. The experiment was performed on 32 rats. A single dose (20 mg/kg) of MTX was injected i.p. to induce intestinal mucositis. APO was given orally once per day at a dose of 100mg/kg (five days prior to and five days following an MTX injection). APO safeguarded the histological structure of the duodenal mucosa, as observed by the conserved histology of goblet cells (villi and crypts). APO mitigated oxidative stress by reducing intestin MDA and raising GSH, SOD and GST, also suppressing NF-κB mRNA expression. Intestinal content of proinflammatory cytokines was reduced in APO-treated MTX rats, with downregulation of proinflammatory iNOS and upregulation of anti-inflammatory PPAR-γ proteins. The intestinal mucosa of rats treated with APO and MTX displayed weekly positive immune staining for cleaved caspase-3. APO upregulate the anti-apoptotic Bcl2 mRNA and down regulate the proapoptotic Bax and Puma mRNA in the duodenal mucosa. The results indicate the possibility of using APO as a novel therapeutic agent to prevent MTX-induced mucositis.

Combining machine learning and structure-based approaches to develop oncogene PIM kinase inhibitors.

Introduction: PIM kinases are targets for therapeutic intervention since they are associated with a number of malignancies by boosting cell survival and proliferation. Over the past years, the rate of new PIM inhibitors discovery has increased significantly, however, new generation of potent molecules with the right pharmacologic profiles were in demand that can probably lead to the development of Pim kinase inhibitors that are effective against human cancer. Method: In the current study, a machine learning and structure based approaches were used to generate novel and effective chemical therapeutics for PIM-1 kinase. Four different machine learning methods, namely, support vector machine, random forest, k-nearest neighbour and XGBoost have been used for the development of models. Total, 54 Descriptors have been selected using the Boruta method. Results: SVM, Random Forest and XGBoost shows better performance as compared to k-NN. An ensemble approach was implemented and, finally, four potential molecules (CHEMBL303779, CHEMBL690270, MHC07198, and CHEMBL748285) were found to be effective for the modulation of PIM-1 activity. Molecular docking and molecular dynamic simulation corroborated the potentiality of the selected molecules. The molecular dynamics (MD) simulation study indicated the stability between protein and ligands. Discussion: Our findings suggest that the selected models are robust and can be potentially useful for facilitating the discovery against PIM kinase.

Identification and functional characterization of two rare LDLR stop gain variants (p.C231* and p.R744*) in Saudi familial hypercholesterolemia patients.

BACKGROUND: Familial hypercholesterolemia (FH) is a globally underdiagnosed inherited metabolic disorder. Owing to limited published data from Arab world, this study was conducted with the aim of identifying the genetic and molecular basis of FH in highly consanguineous Saudi population. METHODS: We performed clinical screening, biochemical profiling, whole exome sequencing and variant segregation analysis of two Saudi FH families. Additionally, 500 normolipic individuals were screened to ensure the absence of FH variant in general Saudi population. Functional characterization of FH variants on secondary structure characteristics of RNA and protein molecules was performed using different bioinformatics modelling approaches. RESULTS: WES analysis identified two independent rare LDLR gene stop gain variants (p.C231* and p.R744*) consistent to the clinical presentation of FH patients from two different families. RNAfold analysis has shown that both variants were predicted to disturb the free energy dynamics of LDLR mRNA molecule and destabilize its folding pattern and function. PSIPRED based structural modelling analysis has suggested that both variants bring drastic changes disturbing the secondary structural elements of LDLR molecule. The p.C231* and p.R744* variants are responsible for partial or no protein product, thus they are class 1 variants causing loss of function (LoF) LDLR variants. CONCLUSIONS: This study highlights the effectiveness of the WES, sanger sequencing, and computational analysis in expanding FH variant spectrum in culturally distinct populations like Saudi Arabia. Genetic testing of FH patients is very essential in better clinical diagnosis, screening, treatment, and management and prevention of cardiovascular disease burden in the society.

A comparative mRNA- and miRNA transcriptomics reveals novel molecular signatures associated with metastatic prostate cancers.

Background: Prostate cancer (PC) is a fatally aggressive urogenital cancer killing millions of men, globally. Thus, this study aims to identify key miRNAs, target genes, and drug targets associated with prostate cancer metastasis. Methods: The miRNA and mRNA expression datasets of 148 prostate tissue biopsies (39 tumours and 109 normal tissues), were analysed by differential gene expression analysis, protein interactome mapping, biological pathway analysis, miRNA-mRNA networking, drug target analysis, and survival curve analysis. Results: The dysregulated expression of 53 miRNAs and their 250 target genes involved in Hedgehog, ErbB, and cAMP signalling pathways connected to cell growth, migration, and proliferation of prostate cancer cells was detected. The subsequent miRNA-mRNA network and expression status analysis have helped us in narrowing down their number to 3 hub miRNAs (hsa-miR-455-3p, hsa-miR-548c-3p, and hsa-miR-582-5p) and 9 hub genes (NFIB, DICER1, GSK3B, DCAF7, FGFR1OP, ABHD2, NACC2, NR3C1, and FGF2). Further investigations with different systems biology methods have prioritized NR3C1, ABHD2, and GSK3B as potential genes involved in prostate cancer metastasis owing to their high mutation load and expression status. Interestingly, down regulation of NR3C1 seems to improve the prostate cancer patient survival rate beyond 150 months. The NR3C1, ABHD2, and GSK3B genes are predicted to be targeted by hsa-miR-582-5p, besides some antibodies, PROTACs and inhibitory molecules. Conclusion: This study identified key miRNAs (miR-548c-3p and miR-582-5p) and target genes (NR3C1, ABHD2, and GSK3B) as potential biomarkers for metastatic prostate cancers from large-scale gene expression data using systems biology approaches.

Auraptene nanoparticles ameliorate testosterone-induced benign prostatic hyperplasia in rats: Emphasis on antioxidant, anti-inflammatory, proapoptotic and PPARs activation effects.

Benign prostatic hyperplasia (BPH) is a disease that commonly strikes the majority of aged men. Developing new therapies to manage BPH with improved efficacy and safety is strongly needed. In this regard, auraptene is a natural compound with multiple pharmacological effects, but with poor oral bioavailability. This investigation aimed to assess the possible protection offered by auraptene-nanostructured lipid carrier (auraptene-NLC) in a BPH model induced by testosterone in rats. Auraptene-NLC had optimum particle size and drug release profile compared to raw auraptene. At doses (5 and 10 mg/kg), it hampered the rise in prostatic weights & indices relative to rats challenged with testosterone. Moreover, auraptene-NLC alleviated histopathological abnormalities in prostate architecture and decreased the glandular epithelial height. Additionally, testosterone-induced oxidative stress was alleviated by auraptene-NLC and inhibited raised lipid peroxidation, catalase and superoxide dismutase exhaustion as well as enhanced glutathione content. Moreover, it significantly reduced the prostate content of nuclear factor κB, Interleukins1ß & 6, as well as transforming growth factor ß, compared to testosterone group. The proapoptotic activity of auraptene-NLC (10 mg/kg) was confirmed by a significant increase of prostate cleaved caspase-3, boosted Bax/Bcl2 mRNA ratio that was further confirmed by assessing their protein expressions. Furthermore, the beneficial effects of auraptene-NLC against BPH were substantiated by ameliorating testosterone-induced decline of nuclear PPARα & PPARγ and inhibiting the increased expression of cyclin D1 protein. In conclusion, auraptene-NLC offers a protective effect in rats whereby BPH was induced by testosterone, via its anti-inflammatory, antioxidant and proapoptotic activities, and PPAR family activation.