MicroRNA (Shariqah, United Arab Emirates)最新文献

MicroRNAs (miRNAs) are small non-coding RNAs that regulate the translation of mRNA and protein, mainly at the posttranscriptional level. Global expression profiling of miRNAs has demonstrated a broad spectrum of aberrations that correlated with several diseases, and miRNA- 10a and miRNA-10b were the first examined miRNAs to be involved in abnormal activities upon dysregulation, including many types of cancers and progressive diseases. It is expected that the same miRNAs behave inconsistently within different types of cancer. This review aims to provide a set of information about our updated understanding of miRNA-10a and miRNA-10b and their clinical significance, molecular targets, current research gaps, and possible future applications of such potent regulators.

Allergic asthma is a complicated disease that is affected by many factors. Numerous cytokines and signaling pathways are attributed to the cause of asthma symptoms. MicroRNAs (miRNAs) are a group of small non-coding single-stranded RNA molecules that are involved in gene silencing and posttranscriptional regulation of gene expression by targeting mRNAs. In pathological conditions, altered expression of microRNAs differentially regulates cytokines and signaling pathways and therefore, can be the underlying reason for the pathogenesis of allergic asthma. Indeed, microRNAs participate in airway inflammation via inducing airway structural cells and activating immune responses by targeting cytokines and signaling pathways. Thus, to make a complete understanding of allergic asthma, it is necessary to investigate the communication network of microRNAs with cytokines and signaling pathways which is contributed to the pathogenesis of allergic asthma. Here, we shed light on this aspect of asthma pathology by Summarizing our current knowledge of this topic.

Background: Toxoplasma gondii (T. gondii) is an intracellular zoonotic protozoan parasite known to effectively modulate the host system for its survival. A large number of microRNAs (miRNAs) regulated by different strains of T. gondii in diverse types of host cells/tissues/organs have been reported across multiple studies.

Objective: We aimed to decipher the complexity of T. gondii regulated spectrum of miRNAs to derive a set of core miRNAs central to different strains of T. gondii infection in diverse human cell lines.

Methods: We first assembled miRNAs hat are regulated by T. gondii altered across the various assortment of infections and time points of T. gondii infection in multiple cell types. For these assembled datasets, we employed specific criteria to filter the core miRNAs regulated by T. gondii. Subsequently, accounting for the spectrum of miRNA-mRNA target combinations, we applied a novel confidence criterion to extract their core experimentally-validated mRNA targets in human cell systems.

Results: This analysis resulted in the extraction of 74 core differentially regulated miRNAs and their 319 high-confidence mRNA targets. Based on these core miRNA-mRNA pairs, we derived the central biological processes perturbed by T. gondii in diverse human cell systems. Further, our analysis also resulted in the identification of novel autocrine/paracrine signalling factors that could be associated with host response modulated by T. gondii.

Conclusion: The current analysis derived a set of core miRNAs, their targets, and associated biological processes fine-tuned by T. gondii for its survival within the invaded cells.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation and degradation of mRNA and have been associated with many diseases. Artificial Intelligence (AI) is an evolving cluster of interrelated fields, with machine learning (ML) standing out as one of the most prominent AI fields, with a plethora of applications in almost every aspect of human life. ML could be defined as computer algorithms that learn from past data to predict future data. This review comprehensively reviews the current applications of microRNA-based ML models in healthcare. The majority of the identified studies investigated the role of microRNA-based ML models in the management of cancer and specifically gastric cancer (maximum diagnostic accuracy (Accmax): 94%), pancreatic cancer (Accmax: 93%), colorectal cancer (Accmax: 100%), breast cancer (Accmax: 97%), ovarian cancer, neck squamous cell carcinoma, liver cancer, lung cancer (Accmax: 100%), and melanoma. Except for cancer, microRNA-based ML models have been applied for a plethora of other diseases, including ulcerative colitis (Accmax: 92.8%), endometriosis, gestational diabetes mellitus (Accmax: 86%), hearing loss, ischemic stroke, coronary heart disease (Accmax: 96%), tuberculosis, pulmonary arterial hypertension (Accmax: 83%), dementia (Accmax: 82.9%), major cardiovascular events in end-stage renal disease patients, and alcohol dependence (Accmax: 79.1%). Our findings suggest that the development of microRNA-based ML models could be used to enhance the diagnostic accuracy of a plethora of diseases while at the same time substituting or minimizing the use of more invasive diagnostic means (such as endoscopy). Even not as fast as anticipated, AI will eventually infiltrate the entire healthcare industry. AI is the key to a clinical practice where medicine's inherent complexity is embraced. Therefore, AI will become a reality that physicians should conform with to avoid becoming obsolete.

Viruses are microscopic biological entities that can cause diseases. Viruses require a host cell to replicate and generate progeny. Once inside, viruses hijack the main cellular machinery for their benefit, disrupting cell functions and causing detrimental effects on cell physiology. MicroRNAs are short, non-coding RNAs that regulate gene expression. Recent works have shown that cell-miRNAs can modulate antiviral defense during viral infection, and viruses can disrupt these existing miRNA networks. Furthermore, multiple RNA viruses encode their own miRNAs to evade the host immune response. In this review, we analyze the activities of both, miRNAs as pro-viral modulators and miRNAs as anti-viral agents and their relationship with the development of the disease.

Background: In 2019, severe acute respiratory coronavirus II (or SARS-COV-2) emerged in Wuhan, China, rapidly becoming a global pandemic. Coronavirus genus (Coronaviridae) has the largest single-stranded positive-sense RNA genome (~30 kb) among the human infected single-stranded RNA viruses.

Objectives: For the study of active therapeutic plant-derived miRNA(s), it may be possible to uptake the miRNAs and their biological role in the host cell. In this study, we bioinformatically searched plant miRNAs that can potentially interact with the Sars-CoV-2 genome within the 3'- UTR region and have prompt antiviral activity.

Materials and methods: We searched the plant miRNAs that target the 3'-UTR flanking region of the Sars-CoV-2 genome by employing the RNAHybrid, RNA22, and STarMir miRNA/target prediction tools.

Results: The RNAHybrid algorithm found 63 plant miRNAs having hybridization energy with less or equal to -25 kcal.mol-1. Besides, RNA22 and STarMir tools identified eight interactions between the plant miRNAs and the targeted RNA sequence. pvu-miR159a. 2 and sbi-miR5387b were predicted as the most effectively interacting miRNAs in targeting the 3'-UTR sequence, not only by the RNA22 tool but also by the STarMir tool at the same position. However, the GC content of the pvumiR159a. 2 is 55% instead of sbi-miR5387b, which is a GC enriched sequence (71.43%) that may activate TLR receptors.

Conclusion: In our opinion, they are potent plant-derived miRNA candidates that have a great chance of targeting the Sars-CoV-2 genome in the 3'-UTR region in vitro. Therefore, we propose pvu-miR159a.2 for studying antiviral miRNA-based therapies without any essential side effects in vivo.

It is estimated that 2-4% of live births will have a birth defect (BD). The availability of biomarkers for the prenatal detection of BDs will facilitate early risk assessment, prompt medical intervention and ameliorating disease severity. miRNA expression levels are often found to be altered in many diseases. There is, thus, a growing interest in determining whether miRNAs, particularly extracellular miRNAs, can predict, diagnose, or monitor BDs. These miRNAs, typically encapsulated in exosomes, are released by cells (including those of the fetus and placenta) into the extracellular milieu, such as blood, urine, saliva and cerebrospinal fluid, thereby enabling interaction with target cells. Exosomal miRNAs are stable, protected from degradation, and retain functionality. The observation that placental and fetal miRNAs can be detected in maternal serum, provides a strong rationale for adopting miRNAs as noninvasive prenatal biomarkers for BDs. In this mini-review, we examine the current state of research involving the use of miRNAs as prognostic and diagnostic biomarkers for BD.

Background: The fetus grows in a sterile womb environment. After birth, the newborn immune system has two immediate hurdles to clear. First immediate suppression of the womb compatible immune system and turn on the immune system of the newborn that can counter the antigenic world. The underlying mechanism of immune fluctuation by milk microRNAs (miRNAs) can be crucial for the treatment of critical or premature newborn.

Methods: We collected fourteen samples of each colostrum and mature milk from lactating mothers, four samples of each were used for microarray analysis, and the other ten were used for miRNA expression profiling by real-time PCR.

Results: From the microarray, 154 differentially expressed miRNAs were identified, whereas 49 miRNAs were revealed as immune-related miRNAs based on a literature study. Among the 49 miRNAs, 33 were already shown as strongly validated immune-related miRNAs (validated by qPCR, Western Blot, and Luciferase assay) and were considered for further analysis. Twenty-two miRNA expressions were analysed by real-time PCR as their Ct values were within considerable limits. Twelve numbers of miRNAs were significantly downregulated in mature milk compared to colostrum, which were again subjected to bioinformatics analysis to predict the biological mechanisms behind the differentially expressed miRNAs.

Conclusion: This study shed light on the human milk exosome miRNA expression dynamics during lactation and their possible role in the gradual skewing of the newborns' immune system. The information is crucial for the development and onset of sepsis in premature newborns in the NICU.

In eukaryotic organisms such as humans, some noncoding single-stranded RNAs (ncRNAs) contribute to regulating the expression of some genes before and after the transcription process, which in turn controls a number of vital physiological processes, including cell proliferation, differentiation, invasion, angiogenesis, and embryonic development. miR-126 is one of these miRNAs expressed exclusively in endothelial cells such as capillaries and vessels involved in controlling angiogenesis. In recent years, the link between miRs such as miR-126 and the pathology of breast cancer has attracted the attention of many researchers. Numerous studies have shown that miR-126 may be able to suppress tumor tissue metastasis or to increase tumor metastasis through complex molecular mechanisms. There is ample clinical evidence that miR-126 can be used as a biomarker to predict and diagnose breast cancer due to the increased or decreased expression of certain genes in breast cancer tissue. In this review, we discuss the association between the growth and metastasis (tumorigenesis) of breast cancer and miR-126, as well as the relationship between current research advances in the prognosis, diagnosis, and treatment of breast cancer and miR-126.

Background: MicroRNAs (miRNAs) are small noncoding RNA molecules involved in the post-transcriptional regulation of genes. Deregulated expression of miRNAs is involved in different pathogenic mechanisms, particularly colorectal cancer (CRC) carcinogenesis. Due to their stability and accessibility, circulating miRNAs represent a new family of biomarkers with great potential. Therefore, certain miRNAs can be used as diagnostic biomarkers in CRC.

Objective: This systematic analysis aimed to explore the individual efficacy of the most investigated blood-based miRNAs for CRC diagnosis, namely miR-21, miR-29a and miR-92a.

Methods: Articles were retrieved from databases such as PubMed and Google Scholar, and studies designed to evaluate the diagnostic value of microRNAs in CRC were then selected. We subsequently explored the diagnostic accuracy of each miRNA using parameters such as (SE, SPE, PLR, NLR). The meta-analysis was performed using the Review Manager (Revman) 5.4 software and the Meta Disc software.

Results: Our results suggested that serum miR-21 levels showed great potential as a diagnostic molecular marker. The overall pooled results for sensitivity, specificity, area under the curve (AUC), PLR, and NLR were 78%, 91%, 0.9519, 8.12 and 0.17, respectively.

Conclusion: miRNAs have become increasingly important in the diagnosis of CRC. Based on these findings, circulating miR-21 levels may have a potential value for early detection and might be used as a novel diagnostic biomarker for CRC.