{"title":"micro-RNA 451-a as a Circulating Biomarker for Neuroblastoma.","authors":"Aditya Kumar Gupta, Aijaz Ahmad, Disha Kakker, Jagdish Prasad Meena, Ravi Kumar Majhi, Ambreen Jan, Rachna Seth, Venkateshawran Iyer, Saumyaranjan Mallick","doi":"10.2174/0122115366361597250108075627","DOIUrl":"https://doi.org/10.2174/0122115366361597250108075627","url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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).</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Salivary and Serum micro RNA 146a, 200c and its Target Gene PTEN in Chronic Periodontitis Patients and their Response to Non-Surgical Periodontal Therapy.","authors":"Jammula Surya Prasanna, Kunnel Apoorva","doi":"10.2174/0122115366319964241020165218","DOIUrl":"https://doi.org/10.2174/0122115366319964241020165218","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>miRNA 146A, 200c, and PTEN genes are interrelated with periodontitis. We can consider them as future biomarkers of periodontal diseases.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142956391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of Hub Genes and Analysis of their Regulatory miRNAs in Patients with Thymoma Associated Myasthenia Gravis Based on TCGA Database.","authors":"Wei Zhou, Jia Hu, Jun Nie","doi":"10.2174/0122115366299210240823062457","DOIUrl":"10.2174/0122115366299210240823062457","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"49-58"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Robust NSCLC Biomarker- Mir-7-5p: Its In-Silico Validation and Potential SPR-Based Probe for Detection.","authors":"Chandrajeet Dhara, Anindita Dhara, Saumyatika Gantayat","doi":"10.2174/0122115366325862241031071038","DOIUrl":"https://doi.org/10.2174/0122115366325862241031071038","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142928473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"miRVim: Three-dimensional miRNA Structure Database.","authors":"Vishal Kumar Sahu, Ankita Subhadarsani Parida, Amit Ranjan, Harishkumar Madhyastha, Soumya Basu","doi":"10.2174/0122115366307988240809045125","DOIUrl":"10.2174/0122115366307988240809045125","url":null,"abstract":"<p><strong>Introduction: </strong>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 manifests miRNA expression. 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, 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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"59-72"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review of the Different Outcomes Produced by Genetic Knock Out of the Long Non-coding microRNA-host-gene MIR22HG <i>versus</i> Pharmacologic Antagonism of its Intragenic microRNA product miR-22-3p.","authors":"Marc Thibonnier, Sujoy Ghosh","doi":"10.2174/0122115366282339240604042154","DOIUrl":"10.2174/0122115366282339240604042154","url":null,"abstract":"<p><strong>Background: </strong>Publications reveal different outcomes achieved by genetically knocking out a long non-coding microRNA-host-gene (lncMIRHG) <i>versus</i> the administration of pharmacologic antagomirs specifically targeting the guide strand of such intragenic microRNA. This suggests that lncMIRHGs may perform diverse functions unrelated to their role as intragenic miRNA precursors.</p><p><strong>Objective: </strong>This review synthesizes <i>in silico, in vitro</i>, and <i>in vivo</i> findings from our lab and others to compare the effects of knocking out the long non-coding RNA MIR22HG, which hosts miR- 22, <i>versus</i> administering pharmacological antagomirs targeting miR-22-3p.</p><p><strong>Methods: </strong><i>In silico</i> analyses at the gene, pathway, and network levels reveal both distinct and overlapping targets of hsa-miR-22-3p and its host gene, MIR22HG. While pharmacological antagomirs targeting miR-22-3p consistently improve various metabolic parameters in cell culture and animal models across multiple studies, genetic knockout of MIR22HG yields inconsistent results among different research groups.</p><p><strong>Results: </strong>Additionally, MIR22HG functions as a circulating endogenous RNA (ceRNA) or \"sponge\" that simultaneously modulates multiple miRNA-mRNA interactions by competing for binding to several miRNAs.</p><p><strong>Conclusions: </strong>From a therapeutic viewpoint, genetic inactivation of a lncMIRHG and pharmacologic antagonism of the guide strand of its related intragenic miRNA produce different results. This should be expected as lncMIRHGs play dual roles, both as lncRNA and as a source for primary miRNA transcripts.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"19-41"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141477639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ma'ayan V Levy, Hannah K Fandl, Jamie G Hijmans, Kelly A Stockelman, Samuel T Ruzzene, Whitney R Reiakvam, Zoe A Goldthwaite, Jared J Greiner, Christopher A DeSouza, Vinicius P Garcia
{"title":"Effect of 17β-Estradiol on Endothelial Cell Expression of Inflammation- Related MicroRNA.","authors":"Ma'ayan V Levy, Hannah K Fandl, Jamie G Hijmans, Kelly A Stockelman, Samuel T Ruzzene, Whitney R Reiakvam, Zoe A Goldthwaite, Jared J Greiner, Christopher A DeSouza, Vinicius P Garcia","doi":"10.2174/0122115366320085240716180112","DOIUrl":"10.2174/0122115366320085240716180112","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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-κB, and the levels of inflammatory-associated miRNAs: miR-126, miR-146a, miR-181b, miR-204, and miR-Let-7a, were determined.</p><p><strong>Results: </strong>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-κB (26.0±2.8 AU vs. 21.2±3.1 AU) was not different between groups; however, activated NF-κB (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.</p><p><strong>Conclusion: </strong>These data suggest that the anti-inflammatory effect of 17β-estradiol in endothelial cells may be mediated by miRNAs.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"3-8"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamid Jamialahmadi, Alireza Asadnia, Ghazaleh Khalili-Tanha, Reza Mohit, Hanieh Azari, Majid Khazaei, Mina Maftooh, Mohammadreza Nassiri, Seyed Mahdi Hassanian, Majid Ghayour-Mobarhan, Gordon A Ferns, Elham Nazari, Amir Avan
{"title":"Identification of miR-20a as a Diagnostic and Prognostic Biomarker in Colorectal Cancer: MicroRNA Sequencing and Machine Learning Analysis.","authors":"Hamid Jamialahmadi, Alireza Asadnia, Ghazaleh Khalili-Tanha, Reza Mohit, Hanieh Azari, Majid Khazaei, Mina Maftooh, Mohammadreza Nassiri, Seyed Mahdi Hassanian, Majid Ghayour-Mobarhan, Gordon A Ferns, Elham Nazari, Amir Avan","doi":"10.2174/0122115366320538240912080053","DOIUrl":"10.2174/0122115366320538240912080053","url":null,"abstract":"<p><strong>Introduction: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"73-91"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amir Mohammad Salehi, Fatemeh Torogi, Farid Azizi Jalilian, Razieh Amini
{"title":"The Potential Role of Curcumin as a Regulator of microRNA in Colorectal Cancer: A Systematic Review.","authors":"Amir Mohammad Salehi, Fatemeh Torogi, Farid Azizi Jalilian, Razieh Amini","doi":"10.2174/0122115366304114240904051429","DOIUrl":"10.2174/0122115366304114240904051429","url":null,"abstract":"<p><strong>Introduction: </strong>Curcumin is known as a bioactive component that is found in the rhizomes of <i>Curcuma longa</i>. 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.</p><p><strong>Methods: </strong>We systematically searched international databases, including PubMed, Scopus, and Web of Science, until July 2021 by using some relevant keywords.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>The present review study suggests that curcumin may be useful as a novel therapeutic agent for CRC by altering the expression level of miRs.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"42-48"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Periodontal Tissue Homoeostasis, Immunity, the Red Complex Pathogens, and Dysbiosis: Unraveling the microRNA Effect.","authors":"Swastik Mishra, Lakshmi Puzhankara","doi":"10.2174/0122115366305491240708060422","DOIUrl":"10.2174/0122115366305491240708060422","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":38067,"journal":{"name":"MicroRNA (Shariqah, United Arab Emirates)","volume":" ","pages":"9-18"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}