MicroRNA (Shariqah, United Arab Emirates)最新文献

MicroRNA (miRNA) modulation has emerged as a promising strategy in cancer immunotherapy, particularly in converting "cold" tumors with limited immune cell infiltration into "hot" tumors responsive to immunotherapy. miRNAs regulate immune cell recruitment and activation within the tumor microenvironment, influencing tumor behavior targeting specific miRNAs in cold tumors aims to enhance the immune response, potentially improving therapeutic efficacy. Despite ongoing research challenges, such as tumor complexity and treatment resistance, miRNA-based therapies offer personalized approaches with potential ethical considerations. Advances in miRNA profiling may enable early cancer detection and tailored treatments, underscoring its role in future oncology. This review sheds light on the role of miRNA in cold and hot tumor microenvironments, how they modulate depending on the tumor niche and the current research challenges in implementing miRNA-based therapies include the complexity of tumors and their heterogeneity, which makes it difficult to identify the most relevant miRNAs to target. Additionally, treatment resistance can develop over time, reducing the effectiveness of miRNA modulation. Despite these challenges, ongoing research and advancements in miRNA profiling hold promise for overcoming these obstacles and improving the outcomes of cancer immunotherapy. To overcome the challenges of identifying relevant miRNAs to target, researchers can employ high-throughput sequencing techniques to comprehensively profile miRNA expression in different tumor subtypes. They can also utilize bioinformatics tools and databases to analyze the vast amount of miRNA-related data and identify potential candidate miRNAs. Furthermore, collaborations between scientists and clinicians can help validate the functional significance of identified miRNAs and their potential as therapeutic targets.

Research on microRNAs is constantly expanding and evolving due to their role in the regulation of gene expression. miR-122, a 22-nucleotide microRNA, was first discovered as a liver-specific miRNA. Subsequently, it was found to be present in a wide range of tissues, such as the breast, testes, ovaries, and heart. The research on miR-122 in the liver has been extensive over the past few decades, leading to several important discoveries. However, its role in extrahepatic tissues is largely incompletely understood. Therefore, in light of the established clinical relevance of miR-122 as a potential biomarker and/or drug target in the liver, available information on miR-122 is compiled as it pertains to health and disease. This review discusses novel information generated in recent years and the corresponding progress in our understanding of the physiology of extrahepatic miR-122.

Introduction: Micro ribonucleic acids (miRNAs) are small non-coding RNAs that modulate the expression of various genes. They have an important role in cancer pathogenesis. Differential expression of multiple miRNAs have been used as potential diagnostic and prognostic markers.

Methods: Various cancers have lately been employed as therapeutic targets. This prospective study included untreated pediatric neuroblastoma (NB) patients. In the discovery phase, global miRNA profiling was done using next-generation sequencing (NGS) on biopsy tissue samples of NB patients. In this phase, the top expressing miRNA was identified and chosen for further validation as circulating miRNA in blood samples of a different set of NB patients by real-time polymerase chain reaction (PCR).

Results: Based on the read counts on the global miRNA profiling in the discovery phase, we found that the miRNA that consistently had high reads across the majority of the NB samples were miRNA 451-a, 19b-3p, 106b-5p, and 21-5p. Of these, we selected miRNA 451-a and 19-b for the validation phase of the study as they had consistent overexpression. In the validation phase, the expression of the circulating miRNA 451-a in the blood was found to be higher. The average value for the relative fold (RF) expression for miRNA 451-a was 1.52.

Conclusion: miRNA 451-a is overexpressed both in the cancer tissue and the blood of NB patients. It can serve as a potential diagnostic marker. Further studies can elucidate its role in the pathogenesis of NB and it can have utility as a therapeutic target.

Background: Periodontitis destroys the tooth's supporting structures and attachment apparatus. Local or systemic factors can cause it. Traditionally, diagnosis is based on clinical parameters that may not consistently reflect an accurate confirmation. Biochemical and genetic analyses can provide deeper insights. MicroRNAs (miRNAs) regulate the immune and inflam-matory response to microbial pathogens. Detecting and evaluating miRNAs can be an important diagnostic parameter. This study aimed to assess the expression of miRNA 146a,200c, and its target gene PTEN to non-surgical periodontal therapy in serum and saliva.

Materials and methods: This interventional comparative study was conducted on 120 patients of both genders, ages between 35 and 55. Non-surgical periodontal therapy (NSPT) scaling and root planing were performed on all subjects, and their saliva and serum samples were collected before and after 8 weeks of NSPT. Quantitative rt-PCR (reverse transcriptase Polymerase Chain Reaction) analysis was conducted on all samples. The statistical analysis was done using SPSS version 22, and comparisons were made using paired t-tests, independent t-tests, and Pearson's correlation coefficient. The statistical significance level was set at a 'P' value of less than 0.05.

Results: It has been observed that there was a significant difference of miRNA in both serum and saliva samples 146a,200c, and the PTEN gene expression, from the beginning to 8 weeks. Sig-nificant variation was not observed when comparing the levels between serum and saliva.

Conclusion: miRNA 146A, 200c, and PTEN genes are interrelated with periodontitis. We can consider them as future biomarkers of periodontal diseases.

MicroRNA abundance as a particular biomarker for precisely identifying cancer metastases has emerged in recent years. The expression levels of miRNA are analyzed to get insights into cancer tissue detection and subtypes. Similar to other cancer types, the miRNA shows high levels of target mRNA dysregulation in association with non-small cell lung carcinoma (NSCLC). Among many promising cancer biomarkers for NSCLC, miR-7-5p has shown significant down-regulation in the NSCLC tissues and targets proto-oncogenes like PAK2 and NOVA2. The ex-pression levels of different proto-oncogenes targeting the miR-7-5p in NSCLC showed that the EGFR-mutated NSCLC has an experimental validation. The target validation of the miR-7-5p could be analyzed using SPR (Surface plasmon resonance) based sensors at a single nanoparticle level, such as Au nanocube, due to its high specificity and accountability. Despite being an accountable tool for cancer diagnosis, miRNA-based biomarkers sometimes cause poor diagnostic specificity and reproducibility due to their heterogenicity and immunogenicity in cancer detection. To overcome these shortcomings, the biomarkers need to be validated according to recent clinical studies.

Colorectal cancer has become the leading cause of death worldwide, and it is the second most common cancer in women and the third most common cancer in men. Accumulating evidence suggests that genetic and epigenetic factors play a key role in the development of colorectal cancer. Cancer Stem Cells (CSC) play an important role in the suppression or development of cancer in various conditions. In recent years, non-coding RNAs (ncRNA) have been the focus, and the association of CSC and non-coding RNA has played a crucial role in the development of human cancers. These non-coding RNAs are known to be expressed in many cancers. Studies have suggested that ncRNAs are dysregulated in colorectal cancer cells, and different factors, like Wnt and Notch, are involved in this dysregulation. ncRNAs play a significant role in cancer initiation, migration, and resistance to therapies. Moreover, long noncoding RNAs are known to regulate tumor suppressor genes or oncogenes. Targeting different ncRNAs like miRNA, circular RNA, long noncoding RNAs, and small interfering RNA may provide efficient, targeted therapeutic strategies for colon cancer treatment. This review aims to briefly discuss the latest findings on the role of noncoding RNAs in the prognosis and diagnosis of colon cancer.

The revolutionary CRISPR/Cas9 gene editing technology holds immense potential for treating genetic diseases and tackling conditions like cancer. However, efficient delivery remains a significant challenge. This is where nanoparticles come into play, emerging as powerful allies in the realm of drug delivery. Nanoparticles can accommodate larger insertion sizes, enabling the incorporation of larger Cas9 enzymes and complex guide RNAs, thus opening up the possibility of editing previously inaccessible genetic regions. Their relatively straightforward and scalable production processes make them cost-effective options for wider applications. Notably, nanoparticles excel in vivo, demonstrating efficient tissue penetration and targeted delivery, which are crucial for maximizing therapeutic impact while minimizing side effects. This review aims to explore the potential of nanoparticle-based delivery systems for CRISPR/Cas9, highlighting their advantages and challenges in gene editing applications. The diverse range of nanoparticles further bolsters their potential. Polymeric nanoparticles, for instance, offer tunable properties for customization and controlled release of the CRISPR cargo. Lipid-based nanoparticles facilitate efficient cellular uptake and endosomal escape, ensuring the CRISPR components reach the target DNA. Even gold nanoparticles, known for their unique biocompatibility and photothermal properties, hold promise in light-activated editing strategies. Non-viral delivery systems, particularly those based on nanoparticles, stand out due to their inherent advantages. Collectively, the evidence paints a promising picture: nanoparticles are not merely passive carriers but active participants in the CRISPR/Cas9 delivery landscape. Their versatility, efficiency, and safety position them as key enablers of a future where gene editing can revolutionize drug development, offering personalized and targeted therapies for a wide range of diseases.

Introduction: Endometriosis, a prevalent gynecological disorder characterized by the presence of endometrial-like tissue outside the uterus, poses significant challenges in diagnosis and management due to its unclear pathogenesis and lack of specific biomarkers.

Objective: This study investigates the potential use of microRNAs (miRNAs) as key markers in endometriosis by studying two cohorts of patients (14 patients diagnosed with endometriosis and 15 patients with gynecological benign lesions, different from endometriosis).

Methods: MicroRNA sequencing analysis was tested within data management by a custom pipeline designed by Eurofins Genoma Group.

Results: We identified a specific miRNA expression profile associated with endometriosis to feature specific disease molecular clusters to further elucidate the underlying mechanisms driving endometriosis pathogenesis. Data from the present study suggest a specific miRNA scar for endometriosis compared to other gynecological diseases to develop screening tools in early diagnosis and to ameliorate the management of the disease itself.

Conclusion: This study lays the foundation for the identification of key miRNAs involved in the disease pathogenesis to unveil the molecular signatures in the complex scenario of endometriosis. Further validation and exploration of these findings are needed to develop tools to improve molecular diagnosis and to create a machine-learning prediction algorithm in the future.

Introduction: Breast cancer (BC) is the most prevalent cancer among women globally. Metastasis is the leading cause of mortality in most cancers. Early BC detection before metastasis can enhance survival rates. Understanding BC metastasis mechanisms could aid in developing metastasis-specific treatments.

Method: The role of long non-coding RNAs (lncRNA) in cancer progression is recognized, yet the importance of specific lncRNAs in BC, despite potential alterations, remains inadequately explored. We utilized bioinformatics tools to identify novel lncRNAs dysregulated in metastasis. To achieve this objective, the gene expression profile of GSE102484, encompassing metastatic and non-metastatic BC tissue samples, was analyzed using the limma package in R with cut-off criteria set at an adjusted p-value < 0.005 and |fold change (FC)| ≥ 0.5. We used WGCNA analysis to find co-expression genes for lncRNAs. Then, we identified hub genes and performed pathway enrichment to better understand the results. Considering the defined criteria, eight novels of dysregulated lncRNAs and top 10 miRNAs were identified.

Result: Dysregulated lncRNAs are found in yellow, green, brown, purple, and turquoise co-expression modules from WGCNA analysis. Enrichment analysis of these co-expressed modules revealed relevant pathways to metastasis, such as epithelial-to-mesenchymal transition and integrin cell-surface interactions, as well as regulation of HIF1-alpha. In addition, SDPR, TGFB1I1, ILF3, KIF4A, and COL5A1 were identified as hub genes. Based on DElncRNA-miRNADEmRNA connections and co-expression, we ultimately constructed lncRNA-associated ceRNA axes.

Conclusion: The current study may identify novel lncRNAs implicated in BC metastasis; still, additional research is required to determine the potential functions of these lncRNAs in BC metastasis.

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.