scholarly journals Extracellular Vesicle Associated Non-Coding RNAs in Lung Infections and Injury

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 965
Author(s):  
Zhi Hao Kwok ◽  
Kareemah Ni ◽  
Yang Jin
Keyword(s):  
Extracellular Vesicle ◽  
Human Diseases ◽  
Future Research ◽  
Functional Roles ◽  
Bodily Fluids ◽  
Wide Range ◽  
Novel Biomarkers ◽  
Heterogenous Population ◽  
Non Coding Rnas ◽  
Functional Relevance

Extracellular vesicles (EVs) refer to a heterogenous population of membrane-bound vesicles that are released by cells under physiological and pathological conditions. The detection of EVs in the majority of the bodily fluids, coupled with their diverse cargo comprising of DNA, RNA, lipids, and proteins, have led to the accumulated interests in leveraging these nanoparticles for diagnostic and therapeutic purposes. In particular, emerging studies have identified enhanced levels of a wide range of specific subclasses of non-coding RNAs (ncRNAs) in EVs, thereby suggesting the existence of highly selective and regulated molecular processes governing the sorting of these RNAs into EVs. Recent studies have also illustrated the functional relevance of these enriched ncRNAs in a variety of human diseases. This review summarizes the current state of knowledge on EV-ncRNAs, as well as their functions and significance in lung infection and injury. As a majority of the studies on EV-ncRNAs in lung diseases have focused on EV-microRNAs, we will particularly highlight the relevance of these molecules in the pathophysiology of these conditions, as well as their potential as novel biomarkers therein. We also outline the current challenges in the EV field amidst the tremendous efforts to propel the clinical utility of EVs for human diseases. The lack of published literature on the functional roles of other EV-ncRNA subtypes may in turn provide new avenues for future research to exploit their feasibility as novel diagnostic and therapeutic targets in human diseases.

scholarly journals The Effect of Melatonin Modulation of Non-coding RNAs on Central Nervous System Disorders: An Updated Review

2020 ◽  
Vol 19 (1) ◽  
pp. 3-23
Author(s):  
Jianan Lu ◽  
Yujie Luo ◽  
Shuhao Mei ◽  
Yuanjian Fang ◽  
Jianmin Zhang ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Circular Rna ◽  
Future Research ◽  
Protective Function ◽  
Messenger Ribonucleic Acid ◽  
Wide Range ◽  
The Central Nervous System ◽  
Non Coding Rnas ◽  
Regulatory Effects

: Melatonin is a hormone produced in and secreted by the pineal gland. Besides its role in regulating circadian rhythms, melatonin has a wide range of protective functions in the central nervous system (CNS) disorders. The mechanisms underlying this protective function are associated with the regulatory effects of melatonin on related genes and proteins. In addition to messenger ribonucleic acid (RNA) that can be translated into protein, an increasing number of non-coding RNAs in the human body are proven to participate in many diseases. This review discusses the current progress of research on the effects of melatonin modulation of non-coding RNAs (ncRNAs), including microRNA, long ncRNA, and circular RNA. The role of melatonin in regulating common pathological mechanisms through these ncRNAs is also summarized. Furthermore, the ncRNAs, currently shown to be involved in melatonin signaling in CNS diseases, are discussed. The information compiled in this review will open new avenues for future research into melatonin mechanisms and provide a further understanding of ncRNAs in the CNS.

scholarly journals Molecular and Functional Roles of MicroRNAs in the Progression of Hepatocellular Carcinoma—A Review

2020 ◽  
Vol 21 (21) ◽  
pp. 8362
Author(s):  
Kyoko Oura ◽  
Asahiro Morishita ◽  
Tsutomu Masaki
Keyword(s):  
Hepatocellular Carcinoma ◽  
Control Cell ◽  
Messenger Rnas ◽  
Functional Roles ◽  
Multiple Risk Factors ◽  
Biological Phenomena ◽  
Viral Hepatitis B ◽  
Novel Biomarkers ◽  
Non Coding Rnas ◽  
Made In

Liver cancer is the fourth leading cause of cancer deaths globally, of which hepatocellular carcinoma (HCC) is the major subtype. Viral hepatitis B and C infections, alcohol abuse, and metabolic disorders are multiple risk factors for liver cirrhosis and HCC development. Although great therapeutic advances have been made in recent decades, the prognosis for HCC patients remains poor due to late diagnosis, chemotherapy failure, and frequent recurrence. MicroRNAs (miRNAs) are endogenous, non-coding RNAs that regulate various molecular biological phenomena by suppressing the translation of target messenger RNAs (mRNAs). miRNAs, which often become dysregulated in malignancy, control cell proliferation, migration, invasion, and development in HCC by promoting or suppressing tumors. Exploring the detailed mechanisms underlying miRNA-mediated HCC development and progression can likely improve the outcomes of patients with HCC. This review summarizes the molecular and functional roles of miRNAs in the pathogenesis of HCC. Further, it elucidates the utility of miRNAs as novel biomarkers and therapeutic targets.

scholarly journals Long Non-Coding RNAs: the New Horizon of Gene Regulation in Ovarian Cancer

2017 ◽  
Vol 44 (3) ◽  
pp. 948-966 ◽  
Author(s):  
Tesfaye Worku ◽  
Dinesh Bhattarai ◽  
Duncan Ayers ◽  
Kai Wang ◽  
Chen Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Gene Regulation ◽  
Molecular Mechanisms ◽  
Future Directions ◽  
Diagnostic Biomarkers ◽  
Functional Roles ◽  
Gene Therapies ◽  
Wide Range ◽  
Recent Developments ◽  
Non Coding Rnas

Long non-coding RNAs (lncRNAs), a class of non-coding transcripts, have recently been emerging with heterogeneous molecular actions, adding a new layer of complexity to gene-regulation networks in tumorigenesis. LncRNAs are considered important factors in several ovarian cancer histotypes, although few have been identified and characterized. Owing to their complexity and the lack of adapted molecular technology, the roles of most lncRNAs remain mysterious. Some lncRNAs have been reported to play functional roles in ovarian cancer and can be used as classifiers for personalized medicine. The intrinsic features of lncRNAs govern their various molecular mechanisms and provide a wide range of platforms to design different therapeutic strategies for treating cancer at a particular stage. Although we are only beginning to understand the functions of lncRNAs and their interactions with microRNAs (miRNAs) and proteins, the expanding literature indicates that lncRNA-miRNA interactions could be useful biomarkers and therapeutic targets for ovarian cancer. In this review, we discuss the genetic variants of lncRNAs, heterogeneous mechanisms of actions of lncRNAs in ovarian cancer tumorigenesis, and drug resistance. We also highlight the recent developments in using lncRNAs as potential prognostic and diagnostic biomarkers. Lastly, we discuss potential approaches for linking lncRNAs to future gene therapies, and highlight future directions in the field of ovarian cancer research.

scholarly journals Placenta-Derived MicroRNAs in the Pathophysiology of Human Pregnancy

2021 ◽  
Vol 9 ◽  
Author(s):  
Peng Xu ◽  
Yeling Ma ◽  
Hongyu Wu ◽  
Yan-Ling Wang
Keyword(s):  
Current Knowledge ◽  
Well Being ◽  
Maternal Circulation ◽  
Cell Behaviors ◽  
Fetal Health ◽  
Wide Range ◽  
Novel Biomarkers ◽  
Non Coding Rnas ◽  
Adverse Pregnancy ◽  
Exosomal Mirna

In placental mammals, reproductive success, and maternal-fetal health substantially depend on a well-being placenta, the interface between the fetus and the mother. Disorders in placental cells are tightly associated with adverse pregnancy outcomes including preeclampsia (PE), fetal growth restriction, etc. MicroRNAs (miRNAs) represent small non-coding RNAs that regulate post-transcriptional gene expression and are integral to a wide range of healthy or diseased cellular proceedings. Numerous miRNAs have been detected in human placenta and increasing evidence is revealing their important roles in regulating placental cell behaviors. Recent studies indicate that placenta-derived miRNAs can be released to the maternal circulation via encapsulating into the exosomes, and they potentially target various maternal cells to provide a hormone-like means of intercellular communication between the mother and the fetus. These placental exosome miRNAs are attracting more and more attention due to their differential expression in pregnant complications, which may provide novel biomarkers for prediction of the diseases. In this review, we briefly summarize the current knowledge and the perspectives of the placenta-derived miRNAs, especially the exosomal transfer of placental miRNAs and their pathophysiological relevance to PE. The possible exosomal-miRNA-targeted strategies for diagnosis, prognosis or therapy of PE are highlighted.

scholarly journals Crossroads between transposons and gene regulation

2020 ◽  
Vol 375 (1795) ◽  
pp. 20190330 ◽  
Author(s):  
Miguel R. Branco ◽  
Edward B. Chuong
Keyword(s):  
Gene Regulation ◽  
Future Research ◽  
Large Contribution ◽  
Gene Promoters ◽  
Defence Mechanisms ◽  
Functional Roles ◽  
Repetitive Nature ◽  
Non Coding Rnas ◽  
Species Specific ◽  
Analytical Tools

Transposons are mobile genetic elements that have made a large contribution to genome evolution in a largely species-specific manner. A wide variety of different transposons have invaded genomes throughout evolution, acting in a first instance as ‘selfish’ elements, whose success was determined by their ability to self-replicate and expand within the host genome. However, their coevolution with the host has created many crossroads between transposons and the regulation of host gene expression. Transposons are an abundant source of transcriptional modulatory elements, such as gene promoters and enhancers, splicing and termination sites, and regulatory non-coding RNAs. Moreover, transposons have driven the evolution of host defence mechanisms that have been repurposed for gene regulation. However, dissecting the potential functional roles of transposons remains challenging owing to their evolutionary path, as well as their repetitive nature, which requires the development of specialized analytical tools. In this special issue, we present a collection of articles that lay out current paradigms in the field and discuss a vision for future research. This article is part of a discussion meeting issue ‘Crossroads between transposons and gene regulation’.

Comparative Effects of High-Tech Visual Scene Displays and Low-Tech Isolated Picture Symbols on Engagement From Students With Multiple Disabilities

2019 ◽  
Vol 50 (4) ◽  
pp. 693-702 ◽  
Author(s):  
Christine Holyfield ◽  
Sydney Brooks ◽  
Allison Schluterman
Keyword(s):  
Language Learning ◽  
Augmentative And Alternative Communication ◽  
Visual Analysis ◽  
Multiple Disabilities ◽  
Visual Scene ◽  
Future Research ◽  
High Tech ◽  
Single Subject ◽  
Wide Range ◽  
The Difference

Purpose Augmentative and alternative communication (AAC) is an intervention approach that can promote communication and language in children with multiple disabilities who are beginning communicators. While a wide range of AAC technologies are available, little is known about the comparative effects of specific technology options. Given that engagement can be low for beginning communicators with multiple disabilities, the current study provides initial information about the comparative effects of 2 AAC technology options—high-tech visual scene displays (VSDs) and low-tech isolated picture symbols—on engagement. Method Three elementary-age beginning communicators with multiple disabilities participated. The study used a single-subject, alternating treatment design with each technology serving as a condition. Participants interacted with their school speech-language pathologists using each of the 2 technologies across 5 sessions in a block randomized order. Results According to visual analysis and nonoverlap of all pairs calculations, all 3 participants demonstrated more engagement with the high-tech VSDs than the low-tech isolated picture symbols as measured by their seconds of gaze toward each technology option. Despite the difference in engagement observed, there was no clear difference across the 2 conditions in engagement toward the communication partner or use of the AAC. Conclusions Clinicians can consider measuring engagement when evaluating AAC technology options for children with multiple disabilities and should consider evaluating high-tech VSDs as 1 technology option for them. Future research must explore the extent to which differences in engagement to particular AAC technologies result in differences in communication and language learning over time as might be expected.

Understanding Limited Use of Amplification in Infants and Children Who Are Hard of Hearing

2015 ◽  
Vol 25 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Ryan W. McCreery ◽  
Elizabeth A. Walker ◽  
Meredith Spratford
Keyword(s):  
Hard Of Hearing ◽  
Hearing Aid ◽  
Management Strategies ◽  
Infants And Children ◽  
Future Research ◽  
Research Needs ◽  
Case Examples ◽  
Hearing Aid Use ◽  
Wide Range ◽  
In Infants And Children

The effectiveness of amplification for infants and children can be mediated by how much the child uses the device. Existing research suggests that establishing hearing aid use can be challenging. A wide range of factors can influence hearing aid use in children, including the child's age, degree of hearing loss, and socioeconomic status. Audiological interventions, including using validated prescriptive approaches and verification, performing on-going training and orientation, and communicating with caregivers about hearing aid use can also increase hearing aid use by infants and children. Case examples are used to highlight the factors that influence hearing aid use. Potential management strategies and future research needs are also discussed.

The Attenuation of Very Low Frequency Brain Oscillations in Transitions from a Rest State to Active Attention

2009 ◽  
Vol 23 (4) ◽  
pp. 191-198 ◽  
Author(s):  
Suzannah K. Helps ◽  
Samantha J. Broyd ◽  
Christopher J. James ◽  
Anke Karl ◽  
Edmund J. S. Sonuga-Barke
Keyword(s):  
Brain Activity ◽  
Sampling Rate ◽  
Low Frequency ◽  
Future Research ◽  
Adhd Symptoms ◽  
Default Mode ◽  
Very Low Frequency ◽  
Wide Range ◽  
Interference Hypothesis ◽  
Mode Interference

Background: The default mode interference hypothesis ( Sonuga-Barke & Castellanos, 2007 ) predicts (1) the attenuation of very low frequency oscillations (VLFO; e.g., .05 Hz) in brain activity within the default mode network during the transition from rest to task, and (2) that failures to attenuate in this way will lead to an increased likelihood of periodic attention lapses that are synchronized to the VLFO pattern. Here, we tested these predictions using DC-EEG recordings within and outside of a previously identified network of electrode locations hypothesized to reflect DMN activity (i.e., S3 network; Helps et al., 2008 ). Method: 24 young adults (mean age 22.3 years; 8 male), sampled to include a wide range of ADHD symptoms, took part in a study of rest to task transitions. Two conditions were compared: 5 min of rest (eyes open) and a 10-min simple 2-choice RT task with a relatively high sampling rate (ISI 1 s). DC-EEG was recorded during both conditions, and the low-frequency spectrum was decomposed and measures of the power within specific bands extracted. Results: Shift from rest to task led to an attenuation of VLFO activity within the S3 network which was inversely associated with ADHD symptoms. RT during task also showed a VLFO signature. During task there was a small but significant degree of synchronization between EEG and RT in the VLFO band. Attenuators showed a lower degree of synchrony than nonattenuators. Discussion: The results provide some initial EEG-based support for the default mode interference hypothesis and suggest that failure to attenuate VLFO in the S3 network is associated with higher synchrony between low-frequency brain activity and RT fluctuations during a simple RT task. Although significant, the effects were small and future research should employ tasks with a higher sampling rate to increase the possibility of extracting robust and stable signals.

COVID-19 Outbreak Prediction with Machine Learning

2020 ◽  
Author(s):  
Sina Faizollahzadeh Ardabili ◽  
Amir Mosavi ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
Annamaria R. Varkonyi-Koczy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Fuzzy Inference ◽  
Control Measures ◽  
Future Research ◽  
Complex Nature ◽  
Inference System ◽  
Wide Range ◽  
Standard Models ◽  
High Level

Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed-decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and statistical models have received more attention by authorities, and they are popular in the media. Due to a high level of uncertainty and lack of essential data, standard models have shown low accuracy for long-term prediction. Although the literature includes several attempts to address this issue, the essential generalization and robustness abilities of existing models needs to be improved. This paper presents a comparative analysis of machine learning and soft computing models to predict the COVID-19 outbreak as an alternative to SIR and SEIR models. Among a wide range of machine learning models investigated, two models showed promising results (i.e., multi-layered perceptron, MLP, and adaptive network-based fuzzy inference system, ANFIS). Based on the results reported here, and due to the highly complex nature of the COVID-19 outbreak and variation in its behavior from nation-to-nation, this study suggests machine learning as an effective tool to model the outbreak. This paper provides an initial benchmarking to demonstrate the potential of machine learning for future research. Paper further suggests that real novelty in outbreak prediction can be realized through integrating machine learning and SEIR models.

Sign in / Sign up

Export Citation Format

Share Document