MicroRNA (Shariqah, United Arab Emirates)最新文献

Introduction: The differential expression of miRNAs, a key regulator in many cell signaling pathways, has been studied in various malignancies and may have an important role in cancer progression, including colorectal cancer (CRC).

Method: The present study used machine learning and gene interaction study tools to explore the prognostic and diagnostic value of miRNAs in CRC. Integrative analysis of 353 CRC samples and normal tissue data was obtained from the TCGA database and further analyzed by R packages to define the deferentially expressed miRNAs (DEMs). Furthermore, machine learning and Kaplan Meier survival analysis helped better specify the significant prognostic value of miRNAs. A combination of online databases was then used to evaluate the interactions between target genes, their molecular pathways, and the correlation between the DEMs.

Result: The results indicated that miR-19b and miR-20a have a significant prognostic role and are associated with CRC progression. The ROC curve analysis discovered that miR-20a alone and combined with other miRNAs, including hsa-mir-21 and hsa-mir-542, are diagnostic biomarkers in CRC. In addition, 12 genes, including NTRK2, CDC42, EGFR, AGO2, PRKCA, HSP90AA1, TLR4, IGF1, ESR1, SMAD2, SMAD4, and NEDD4L, were found to be the highest score targets for these miRNAs. Pathway analysis identified the two correlated tyrosine kinase and MAPK signaling pathways with the key interaction genes, i.e., EGFR, CDC42, and HSP90AA1.

Conclusion: To better define the role of these miRNAs, the ceRNA network, including lncRNAs, was also prepared. In conclusion, the combination of R data analysis and machine learning provides a robust approach to resolving complicated interactions between miRNAs and their targets.

Introduction: Curcumin is known as a bioactive component that is found in the rhizomes of Curcuma longa. Curcumin is well known for its chemo-preventive and anticancer properties. However, its anticancer mechanism in colorectal cancer treatment is unclear, and some studies have shown that many microRNAs (miRs) could be potential targets for curcumin in colorectal cancer (CRC) treatment, so there is a need for their integration and clarification.

Methods: We systematically searched international databases, including PubMed, Scopus, and Web of Science, until July 2021 by using some relevant keywords.

Results: The search resulted in 87 papers, among which there were 18 related articles. Curcumin was found to cause the upregulation of miR-497, miR-200c, miR-200b, miR-409-3p, miR-34, miR-126, miR-145, miR-206, miR-491, miR-141, miR-429, miR-101, and miR-15a and the downregulation of miR-21, miR-155, miR-221, miR-222, miR-17-5p, miR-130a, miR-27, and miR-20a.

Conclusion: The present review study suggests that curcumin may be useful as a novel therapeutic agent for CRC by altering the expression level of miRs.

Background: Myasthenia gravis is an autoimmune disease, and 30% of patients with thymoma often have myasthenia gravis. Patients with thymoma-associated MG (TAMG) have many different clinical presentations compared to non-MG thymoma (NMG), yet their gene expression differences remain unclear.

Objective: In this study, we analyzed the Differentially Expressed Genes (DEGs) and analyzed their regulatory microRNAs (miRNAs) in TAMG, which will further clarify the possible pathogenesis of TAMG.

Methods: DEGs were calculated using the RNA-sequencing data of TAMG and NMG downloaded from The Cancer Genome Atlas (TCGA) database. R software was then used to analyze the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs, while STRING was applied to build the protein-protein interaction (PPI) network and Cytoscape to identify and visualize the hub genes. Immune infiltration significances of hub genes were also explored by using the TIMER database and TCGA database. Upstream microRNAs (miRNAs) of the hub genes were predicted by online software.

Results: We comparatively analyzed the gene expression differences between TAMG and NMG groups. A total of 977 DEGs were identified between the two groups (|log fold change (FC)| >2, adjusted P value <0.050), with 555 down-regulated genes and 422 up-regulated genes. Five top hub genes (CTNNB1, EGFR, SOX2, ERBB2, and EGF) were recognized in the PPI network. Analysis based on the TIMER and TCGA databases suggested that 5 hub genes were correlated with multiple immune cell infiltrations and immune checkpoint-related markers, such as PDCD1, CTLA-4, and CD274, in TAMG patients. Lastly, 5 miRNAs were identified to have the potential function of regulating the hub gene expression.

Conclusion: Our study identified 5 hub genes (CTNNB1, EGFR, SOX2, ERBB2, and EGF) and their 5 regulatory miRNAs in TAMG, and the hub genes were correlated with multiple immune cell infiltrations and immune checkpoint-related markers. Our findings could help partially clarify the pathophysiology of TAMG, which could be new potential targets for subsequent clinical immunotherapy.

Introduction: MicroRNAs (miRNAs), a distinct category of non-coding RNAs, exert multifaceted regulatory functions in a variety of organisms, including humans, animals, and plants. The inventory of identified miRNAs stands at approximately 60,000 among all species, and 1,926 in Homo sapiens manifest miRNA expression.

Method: Their theranostic role has been explored by researchers over the last few decades, positioning them as prominent therapeutic targets as our understanding of RNA targeting advances. However, the limited availability of experimentally determined miRNA structures has constrained drug discovery efforts relying on virtual screening or computational methods, including machine learning and artificial intelligence.

Results: To address this lacuna, miRVim has been developed, providing a repository of human miRNA structures derived from both two-dimensional (MXFold2, CentroidFold, and RNAFold) and three-dimensional (RNAComposer and 3dRNA) structure prediction algorithms, in addition to experimentally available structures from the RCSB PDB repository. miRVim contains 13,971 predicted secondary structures and 17,045 predicted three-dimensional structures, filling the gap of unavailability of miRNA structure data bank. This database aims to facilitate computational data analysis for drug discovery, opening new avenues for advancing technologies, such as machine learning-based predictions in the field of RNA biology.

Conclusion: The publicly accessible structures provided by miRVim, available at https://mirna.in/miRVim, offer a valuable resource for the research community, advancing the field of miRNA-related computational analysis and drug discovery.

Introduction/ Objective: Estrogen plays a protective role in vascular health due, in part, to its regulation of endothelial inflammation. However, the mechanism(s) by which estrogen negatively regulates inflammatory signaling pathways is not completely understood. MicroRNAs (miRNAs) are recognized as sensitive and selective regulators of cardiovascular function, inflammation, and disease, yet the effects of 17β-estradiol on the endothelial miRNA profile are largely unknown. The aim of this study was to determine the effect of 17β-estradiol on the expression of inflammation-associated miRNAs in endothelial cells in vitro.

Methods: Human Umbilical Vein Endothelial cells (HUVECs) were treated with media in the absence (control) and presence of 17β-estradiol (100 nM) for 24 hr. Thereafter, endothelial cell release of cytokines (IL-6 and IL-8), the intracellular expression of the central protein inflammatory mediator NF- B, and the levels of inflammatory-associated miRNAs: miR-126, miR-146a, miR-181b, miR-204, and miR-let-7a, were determined.

Results: 17β-estradiol-treated cells released significantly lower levels of IL-6 (47.6±1.5 pg/mL vs 59.3±4.9 pg/mL) and IL-8 (36.3±2.3 pg/mL vs 44.0±2.0 pg/mL). Cellular expression of total NF- B (26.0±2.8 AU vs 21.2±3.1 AU) was not different between groups; however, activated NF- B (Ser536) (12.9±1.7 AU vs 20.2±2.2 AU) was markedly reduced in 17β-estradiol-treated cells as compared to untreated cells. Furthermore, cellular expressions of miR-126 (1.8±0.3 fold), miR-146a (1.7±0.3 fold), miR-181b (2.1±0.4 fold), miR-204 (1.9±0.4 fold), and miR-Let-7a (1.8±0.3 fold) were markedly increased in response to 17β-estradiol treatment.

Conclusion: These data suggest that the anti-inflammatory effect of 17β-estradiol in endothelial cells may be mediated by miRNAs.

microRNAs are a family of small, non-coding RNA molecules that can regulate the translation of messenger RNAs (mRNAs). Numerous miRNAs have been proposed as potential indicators for periodontal disease, and their regulation might serve as a potent means of restricting the disease process. MiRNAs act as important immune system regulators that promote the production of many cytokines, including interferon (IFN), tumour necrosis factor (TNF), and IL-1as well as RANK. Investigations pertaining to the use of specific miRNAs as therapeutic agents are underway. They can influence a variety of regulatory organs and target several genes. Additionally, distinct components of the same expression pathway can be controlled by combining miRNAs and their antagonists. In recent years, many miRNA delivery methods have been created for therapeutic applications. Studies pertaining to the role of miRNAs in periodontal disease pathogenesis may pave the way for the use of miRNAs as biomarkers of periodontal disease. A complete understanding of the role of miRNA in periodontal disease and its mechanism of action can pave the way towards therapeutic strategies that can reduce or even prevent the progression of periodontal diseases.

Background: Molecular markers in Colorectal Cancer (CRC) are needed for more ac-curate classification and personalized treatment. In this way, we investigated the effects of the BRAF gene on clinical outcomes of its expression fluctuations and its polymorphism at rs1267623 in CRC.

Methods: In this study, 36.36 percent of patients with CRC were women, and 63.63 percent were men. After the pathology department confirmed the tumor of the samples, the stage and grade of the tumor were determined according to the TNM system. Real-time PCR was used to check the expression of the BRAF gene in tumor and non-tumor tissues, and its polymorphism in rs1267623 was also checked using the Tetra-ARMs PCR technique.

Results: The expression of BRAF in tumor tissues was significantly higher than in non-tumoral tissues (P = 0.001), indicating an upregulation of BRAF gene expression in tumoral tissues. The user's text is empty. Furthermore, there was a significant correlation between BRAF expression and tumor stage (P = 0.001), as well as tumor grade (P = 0.003). However, no significant link was found between lymph node metastasis and distant metastasis of BRAF gene expression (P = 0.3). Additionally, no mutation was detected in the investigation of rs1267623 polymorphism.

Conclusion: The BRAF gene was upregulated in tumoral tissues. Remarkably, no mutation was found in the rs1267623 polymorphism. As a result, this gene can be used as a biomarker in the diagnosis and treatment of CRC.

Cancer, the second greatest cause of mortality worldwide, frequently causes bone me-tastases in patients with advanced-stage carcinomas such as prostate, breast, and lung cancer. The existence of these metastases contributes to the occurrence of skeletal-related events (SREs), which are defined by excessive pain, pathological fractures, hypercalcemia, and spinal cord com-pression. These injurious incidents leave uncomfortably large holes in each of the cancer patient's life quality. Primary bone cancers, including osteosarcoma (OS), chondrosarcoma (CS), and Ewing's sarcoma (ES), have unclear origins. MicroRNA (miRNA) expression patterns have been changed in primary bone cancers such as OS, CS, and ES, indicating a role in tumor development, invasion, metastasis, and treatment response. These miRNAs are persistent in circulation and ex-hibit distinct patterns in many forms of bone tumors, making them potential biomarkers for early detection and treatment of such diseases. Given their crucial regulatory functions in various bio-logical processes and conditions, including cancer, this study aims to look at miRNAs' activities and possible contributions to bone malignancies, focusing on OS, CS, and ES. In conclusion, miRNAs are valuable tools for diagnosing, monitoring, and predicting OS, CS, and ES outcomes. Further research is required to fully comprehend the intricate involvement of miRNAs in these bone cancers and to develop effective miRNA-based treatments.

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- RankAggereg 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.

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.