Topic Editors

Dr. Francesca Orso
Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
Dr. Roberto Coppo
Department of Clinical Bio-Resource Research and Development, Graduate School of Medicine, Kyoto University, Kyoto, Japan
Dr. Federico Virga
Experimental Oncology, Molecular Oncology Program, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain

miRNAs in Pathophysiology of Disease

Abstract submission deadline
closed (31 January 2023)
Manuscript submission deadline
31 March 2023
Viewed by
3610

Topic Information

Dear Colleagues,

miRNAs (miRs) are small non-coding RNAs that negatively regulate their target mRNAs, mostly by binding to their 3′UTRs. First discovered in C. elegans, miRs have been identified and studied in plants, animals and even in viruses. As the research on miRs has grown over the past decade, new information about their involvement in multiple physiological cell functions is beginning to be elucidated. As a matter of fact, their dysregulation can lead to serious pathologies such as cancer, cardiovascular disease, diabetes, mental disorders and viral infection. There is a great demand to understand the principles of context-specific miRNA target recognition in order to elucidate their role in the development and pathophysiology of diseases, as well as to improve miR detection methods and design future therapeutic strategies. We are pleased to invite you to the MDPI Topic collections “miRNAs in Pathophysiology of Disease”. MDPI Topics are collections of articles that concentrate on specific cutting-edge, interdisciplinary themes published in different MDPI journals. The aim of the current topic is to allow authors from different research areas (such as cancer, immunology, neurology, metabolism, engineering and biophysics) to focus on the role of miRs in diseases, describe the multi-disciplinary applications of their research and develop new ideas. For this collection, papers should be submitted in one of the following journals: Cancers, Biology, Current Oncology, Diseases or Onco. In this Topic, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: cancer progression, inflammatory and infectious diseases, metabolic disorders, miRNA-based biomarkers and therapies, new technologies for miRNA detection and new target prediction tools. We look forward to receiving your contributions.

Dr. Francesca Orso
Dr. Roberto Coppo
Dr. Federico Virga
Topic Editors

Keywords

  • cancer
  • metastasis
  • inflammatory disease
  • infectious disease
  • metabolic disorders
  • genetic disease
  • neurological disease
  • miRNA therapy
  • miRNA biomarker
  • miRNA detection

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Biology
biology
5.168 2.8 2012 16.1 Days 2200 CHF Submit
Cancers
cancers
6.575 5.8 2009 17.4 Days 2600 CHF Submit
Current Oncology
curroncol
3.109 3.5 1994 19.6 Days 1800 CHF Submit
Diseases
diseases
- - 2013 23.1 Days 1600 CHF Submit
Onco
onco
- - 2021 15.0 days * 1000 CHF Submit

* Median value for all MDPI journals in the second half of 2022.


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Published Papers (3 papers)

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Review
Obstructive Sleep Apnea: A Look towards Micro-RNAs as Biomarkers of the Future
Biology 2023, 12(1), 66; https://doi.org/10.3390/biology12010066 - 30 Dec 2022
Viewed by 524
Abstract
Sleep-disordered breathing (SDB) includes a broad spectrum of diseases, of which obstructive sleep apnea syndrome (OSA) is the most clinically significant manifestation. OSA is a respiratory disorder characterized by episodes of complete or partial obstruction of the upper airways that disturb ventilation and [...] Read more.
Sleep-disordered breathing (SDB) includes a broad spectrum of diseases, of which obstructive sleep apnea syndrome (OSA) is the most clinically significant manifestation. OSA is a respiratory disorder characterized by episodes of complete or partial obstruction of the upper airways that disturb ventilation and sleep architecture. In recent years, interest in the clinical implications of OSA seems to have increased, probably due to the numerous studies that have shown the existence of an important correlation between OSA and cardiovascular, dysmetabolic, and neoplastic changes. The guidelines currently available highlight the importance of diagnosis and effective treatment for OSA, underlining the need for new biomarkers that are useful in clinical practice, feasible, and reproducible to guide medical decision making. In this review, we intend to provide an overview of the potential role of microRNAs as new indicators for OSA management. MicroRNAs (miRNAs) are small non-coding RNA molecules that play an important role in RNA silencing and regulation of gene expression at the post-transcriptional level. These can bind specifically to their target genes by forming silencing complexes, thus inducing degradation or altered gene expression. A wide range of miRNAs have been extensively studied in a variety of diseases including cancer, and recently, miRNAs have been shown to have enormous potential to function as diagnostic and clinical biomarkers of disease. This review includes recent studies that establish the inevitable role of miRNAs in the pathogenesis of OSA. Full article
(This article belongs to the Topic miRNAs in Pathophysiology of Disease)
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Article
Evaluation of miRNA Expression in Glioblastoma Stem-Like Cells: A Comparison between Normoxia and Hypoxia Microenvironment
Onco 2022, 2(2), 113-128; https://doi.org/10.3390/onco2020008 - 26 May 2022
Cited by 1 | Viewed by 1036
Abstract
Purpose: Glioblastoma is an aggressive and incurable brain tumor whose progression is driven in part by glioblastoma stem cells, which are also responsible for the tumor’s low therapy efficacy. The maintenance and expansion of the stem cell population is promoted by the hypoxic [...] Read more.
Purpose: Glioblastoma is an aggressive and incurable brain tumor whose progression is driven in part by glioblastoma stem cells, which are also responsible for the tumor’s low therapy efficacy. The maintenance and expansion of the stem cell population is promoted by the hypoxic microenvironment, where miRNAs play fundamental roles in their survival. Methods: GBM stem-like cells were isolated from three GBM parental cell lines. The stem-like cells were then cultured under normoxic and hypoxic microenvironments followed by investigation of the in vitro “stemness” of the cells. Results: We found miR-128a-3p, 34-5p and 181a-3p to be downregulated and miR-17-5p and miR-221-3p to be upregulated in our stem-like cells compared to the GBMs. When a comparison was made between normoxia and hypoxia, a further fold downregulation was observed for miR-34-5p, miR-128a-3p and miR-181a-3p and a further upregulation was observed for miR-221-3p and 17-5p. There was an increased expression of HIF-1/2, SOX2, OCT4, VEGF, GLUT-1, BCL2 and survivin under hypoxia. Conclusion: Our data suggest that our GBMs were able to grow as stem-like cells and as spheroids. There was a differential expression of miRNAs between the stems and the GBMs and the hypoxia microenvironment influenced further dysregulation of the miRNAs and some selected genes. Full article
(This article belongs to the Topic miRNAs in Pathophysiology of Disease)
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Article
Assessment of MicroRNAs Associated with Tumor Purity by Random Forest Regression
Biology 2022, 11(5), 787; https://doi.org/10.3390/biology11050787 - 21 May 2022
Viewed by 1112
Abstract
Tumor purity refers to the proportion of tumor cells in tumor tissue samples. This value plays an important role in understanding the mechanisms of the tumor microenvironment. Although various attempts have been made to predict tumor purity, attempts to predict tumor purity using [...] Read more.
Tumor purity refers to the proportion of tumor cells in tumor tissue samples. This value plays an important role in understanding the mechanisms of the tumor microenvironment. Although various attempts have been made to predict tumor purity, attempts to predict tumor purity using miRNAs are still lacking. We predicted tumor purity using miRNA expression data for 16 TCGA tumor types using random forest regression. In addition, we identified miRNAs with high feature-importance scores and examined the extent of the change in predictive performance using informative miRNAs. The predictive performance obtained using only 10 miRNAs with high feature importance was close to the result obtained using all miRNAs. Furthermore, we also found genes targeted by miRNAs and confirmed that these genes were mainly related to immune and cancer pathways. Therefore, we found that the miRNA expression data could predict tumor purity well, and the results suggested the possibility that 10 miRNAs with high feature importance could be used as potential markers to predict tumor purity and to help improve our understanding of the tumor microenvironment. Full article
(This article belongs to the Topic miRNAs in Pathophysiology of Disease)
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