MicroRNA (Shariqah, United Arab Emirates)最新文献

Lung cancer has a high mortality rate among cancers in both women and men. Currently, lung cáncer diagnosis is made with clinical examination, low-dose CT scan and molecular-based methods and its treatment options include chemotherapy, surgery, radiotherapy or immunotherapy. However, the life expectancy of lung cancer is not very high, and still it is usually diagnosed very lately, which leads to poorer prognosis. MicroRNAs [miRNAs] are small noncoding RNAs that regulate many diverse activities in the cell that can affect tumorigenesis by regulating many cell functions related to cancer, such as cell cycle, metastasis, angiogenesis, metabolism, and apoptosis. Also, it can have a potential diagnostic, therapeutic, and prognostic value for lung cancer. MiR320a is a promising microRNA that may help us in the diagnosis, treatment and prognosis of lung cancer, but some aspects of its clinical application are still vague, especially its effect on heavy smokers, delivery mechanism, toxicity and lack of reliable critical value. In this paper, we examined its comprehensive molecular interactions that lead to its tumor suppressor effect, and we reviewed its clinical application until now.

Background: Alteration in the expression and activity of drug-metabolizing enzymes (DMEs) can alter the pharmacokinetics and hence the response of the drug. Some chemicals found in herbs and fruits affect the expression of DMEs. Calamintha incana is commonly used in Middle Eastern Arabic countries. There is no report regarding the influence of Calamintha incana on the hepatic expression of DMEs.

Aims: The current investigation aimed to investigate the effect of Calamintha incana consumption on the mRNA expression of major hepatic drug-metabolizing cytochrome (cyp) P450 genes in mice.

Methods: The chemical composition of the ethanoic extract was analyzed using liquid chromatography/ mass spectrometry. Then, 21 BALB/c mice were used for the in vivo experiment. The mice were divided into three groups, each consisting of seven mice. The first group (low-dose group) was treated with 41.6 mg/kg of Calamintha incana extract and the second group was administered the high-dose (125 mg/kg) of the extract for one month. The mice in the third "control" group administrated the vehicle 20% polyethylene glycol 200. Then, the expression of cyp3a11, cyp2c29, cyp2d9, and cyp1a1 was analyzed using the real-time polymerase chain reaction. The relative liver weights of the mice and the hepatic pathohistological alterations were assessed.

Results: The ethanolic extract of Calamintha incana contained 27 phytochemical compounds. The most abundant compounds were linolenic acid, myristic acid, and p-cymene. It was found that the low dose of Calamintha incana extract upregulated significantly (P < 0.05) the expression of cyp3a11 by more than ten folds in the liver of treated mice. Furthermore, the histological analysis showed that low- and high-dose administration of the C. incana did not cause pathological alterations.

Conclusion: It can be concluded from these findings that consumption of low doses of Calamintha incana upregulated the mRNA expression of mouse cyp3a11 without causing histopathological alterations in the livers. Further studies are needed to determine the influence of Calamintha incana on the pharmacokinetics and response of drugs metabolized by cyp3a11.

MicroRNAs are a class of regulatory, non-coding small ribonucleic acid (RNA) molecules found in eukaryotes. Dysregulated expression of microRNAs can lead to downregulation or upregulation of their target gene. In general, microRNAs bind with the Argonaute protein and its interacting partners to form a silencing complex. This silencing complex binds with fully or partial complementary sequences in the 3'-UTR of their cognate target mRNAs and leads to degradation of the transcripts or translational inhibition, respectively. However, recent developments point towards the ability of these microRNAs to bind to the promoters, enhancers or coding sequences, leading to upregulation of their target genes. This review briefly summarizes the various non-canonical binding sites of microRNAs and their regulatory roles in various diseased conditions.

Introduction: To retrieve, and classify PCa miRNAs and identify the functional relationship between miRNAs and their targets through literature collection with computational analysis.

Background: MicroRNAs play a role in gene regulation, which can either repress or activate the gene. Hence, the functions of miRNAs are dependent on the target gene. This study will be the first of its kind to combine computational analysis with corpus PCa data. Effectively, our study reported the huge number of miRNAs associated with PCa along with functional information.

Objective: The identification and classification of previously known full PCa miRNAs and their targets were made possible by mining the literature data. Systems Biology and curated data mining assisted in identifying optimum miRNAs and their target genes for PCa therapy.

Methods: PubMed database was used to collect the PCa literature up to December 2021. Pubmed. mineR package was used to extract the microRNAs associated articles and manual curation was performed to classify the microRNAs based on the function in PCa. PPI was constructed using the STRING database. Pathway analysis was performed using PANTHER and ToppGene Suite Software. Functional analysis was performed using ShinyGO software. Cluster analysis was performed using MCODE 2.0, and Hub gene analysis was performed using cytoHubba. The genemiRNA network was reconstructed using Cytoscape.

Results: Unique PCa miRNAs were retrieved and classified from mined PCa literature. Six hundred and five unique miRNAs from 250 articles were considered as oncomiRs to trigger PCa. One hundred and twenty unique miRNAs from 118 articles were considered Tumor Suppressor miRNAs to suppress the PCa. Twenty-four unique miRNAs from 22 articles were utilized as treatment miRNAs to treat PCa. miRNAs target genes and their significant pathways, functions and hub genes were identified.

Conclusion: miR-27a, miR-34b, miR-495, miR-23b, miR-100, miR-218, Let-7a family, miR-27a- 5p, miR-34c, miR-34a, miR-143/-145, miR-125b, miR-124 and miR-205 with their target genes AKT1, SRC, CTNNB1, HRAS, MYC and TP53 are significant PCa targets.

Background: Micro-RNAs are endogenous non-coding RNA moieties of 22-27 nucleotides that play a crucial role in the regulation of various biological processes and make them useful prognostic and diagnostic biomarkers. Discovery and experimental validation of miRNA is a laborious and time-consuming process. For early prediction, multiple bioinformatics databases are available for miRNA target prediction; however, their utility can confuse amateur researchers in selecting the most appropriate tools for their study.

Objective: This descriptive review aimed to analyse the usability of the existing database based on the following criteria: accessibility, efficiency, interpretability, updatability, and flexibility for miRNA target prediction of 3'UTR of mRNA in diverse species so that the researchers can utilize the database most appropriate to their research.

Methods: A systematic literature search was performed in PubMed, Google Scholar and Scopus databases up to November 2022. ≥10,000 articles found online, including ⁓130 miRNA tools, which contain various information on miRNA. Out of them, 31 databases that provide information on validated 3'UTR miRNAs target databases were included and analysed in this review.

Results: These miRNA database tools are being used in varied areas of biological research to select the most suitable miRNA for their experimental validation. These databases, updated until the year 2021, consist of miRNA-related data from humans, animals, mice, plants, viruses etc. They contain 525-29806351 data entries, and information from most databases is freely available on the online platform.

Conclusion: Reviewed databases provide significant information, but not all information is accurate or up-to-date. Therefore, Diana-TarBase and miRWalk are the most comprehensive and up-to-date databases.

Background: Glioblastoma Multiforme (GBM) is a prevalent and deadly type of primary astrocytoma, constituting over 60% of adult brain tumors, and has a poor prognosis, with a high relapse rate within 7 months of diagnosis. Despite surgical, radiotherapy, and chemotherapy treatments, GBM remains challenging due to resistance. MicroRNA (miRNAs) control gene expression at transcriptional and post-transcriptional levels by targeting their messenger RNA (mRNA), and also contribute to the development of various neoplasms, including GBM.

Methods: The present study focuses on exploring the miRNAs-based pathogenesis of GBM and evaluating most potential plant-based therapeutic agents with in silico analysis. Gene chips were retrieved from the Gene Expression Omnibus (GEO) database, followed by the Robust- Rank- Aggereg algorithm to determine the Differentially Expressed miRNAs (DEMs). The predicted targets were intersected with the GBM-associated genes, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the overlapping genes was performed. At the same time, five phytochemicals were selected for the Connectivity map (CMap), and the most efficient ones were those that had undergone molecular docking analysis to obtain the potential therapeutic agents.

Results: The hsa-miR-10b, hsa-miR-21, and hsa-miR-15b were obtained, and eight genes were found to be associated with glioma pathways; VSIG4, PROCR, PLAT, and ITGB2 were upregulated while, CAMK2B, PDE1A, GABRA1, and KCNJ6 were downregulated. The drugs Resveratrol and Quercetin were identified as the most prominent drugs.

Conclusion: These miRNAs-based drugs can be used as a curative agent for the treatment of GBM. However, in vivo, experimental data, and clinical trials are necessary to provide an alternative to conventional GBM cancer chemotherapy.

Aim: This study aims to investigate the potential role of lncRNA NR2F2-AS1 in the development of gastric cancer by affecting the levels of miR-320b and BMI1.

Background: Gastric cancer is a high-mortality malignancy, and understanding the underlying molecular mechanisms is crucial. Non-coding RNAs play an important role in gene expression, and their dysregulation can lead to tumor initiation and progression.

Objective: This study aims to determine the pathological role of LncRNA NR2F2-AS1 in gastric cancer progression and its association with the clinicopathological characteristics of patients.

Methods: Bioinformatics databases were used to predict the expression levels and interactions between the studied factors to achieve this objective. The expression pattern of NR2F2-AS1/miR- 320b/BMI1 in 40 pairs of tumor and adjacent normal tissues was examined using RT-PCR, IHC, and western blot. The correlation, ROC curve, and survival analyses were also conducted for the aforementioned factors.

Results: The results showed an increase of more than 2-fold for BMI-1 and lncRNA NR2F2-AS1 in lower stages, and the elevation continued with the increasing stage of the disease. This correlated with significant downregulation of miR-320b and PTEN, indicating their association with gastric cancer progression and decreased patient survival. LncRNA NR2F2-AS1 acts as an oncogene by influencing the level of miR-320b, altering the amount of BMI1. A reduction in the amount of miR-320b against lncRNA NR2F2-AS1 and BMI1 directly correlates with a reduced overall survival rate of patients, especially if this disproportion is more than 3.0. ROC curve analysis indicated that alteration in the lncRNA NR2F2-AS1 level showed more than 98.0% sensitivity and specificity to differentiate the lower from higher stages of GC and predict the early onset of metastasis.

Conclusion: In conclusion, these results suggest that NR2F2-AS1/miR-320b/BMI1 has the potential to be a prognostic as well as diagnostic biomarker for gastric cancer.

Background: After mild traumatic brain injury (mTBI), some patients experience symptoms that persist for weeks to months. Recovery from mTBI is primarily assessed using selfreported symptom questionnaires. Blood biomarkers, including microRNA species, have shown promise to assist diagnosis of mTBI, however, little is known about how blood microRNA measures might predict symptom recovery.

Objective: The aim of this study was to investigate the variances in plasma microRNAs on the day of injury between individuals with mTBI who report post-concussive symptoms at the 28- day mark and those who do not.

Methods: Patients who presented to an adult, tertiary referral hospital emergency department on the day of the injury and were diagnosed with isolated mTBI (n=35) were followed up for 28 days. Venous blood samples were collected and symptom severity was assessed using the Rivermead Post-Concussion Symptom Questionnaire (RPQ) on the day of injury and at 28 days. Patients who reported ongoing symptoms of total RPQ score ≥10 or at least one symptom severity ≥2, were compared to those with lesser symptom severity or symptom resolution.

Results: There were 9 (25.7%; 95%CI: 12.5-43.3) patients who reported persistent symptoms. Day of injury plasma miR-223-3p levels were significantly higher in individuals with ongoing symptoms compared to those without, however, no such differences were observed for miRs 142- 3p, 423-3p, 32-5p, 144-3p, and let-7f-5p.

Conclusion: Acute plasma miR-223-3p levels appear to detect patients who later have persistent symptoms after mTBI. The results demonstrate the potential utility for such biomarkers to assist in decisions towards early referral for therapy after mTBI.