RESUMO
RNA sequencing analysis is an important field in the study of extracellular vesicles (EVs), as these particles contain a variety of RNA species that may have diagnostic, prognostic and predictive value. Many of the bioinformatics tools currently used to analyze EV cargo rely on third-party annotations. Recently, analysis of unannotated expressed RNAs has become of interest, since these may provide complementary information to traditional annotated biomarkers or may help refine biological signatures used in machine learning by including unknown regions. Here we perform a comparative analysis of annotation-free and classical read-summarization tools for the analysis of RNA sequencing data generated for EVs isolated from persons with amyotrophic lateral sclerosis (ALS) and healthy donors. Differential expression analysis and digital-droplet PCR validation of unannotated RNAs also confirmed their existence and demonstrates the usefulness of including such potential biomarkers in transcriptome analysis. We show that find-then-annotate methods perform similarly to standard tools for the analysis of known features, and can also identify unannotated expressed RNAs, two of which were validated as overexpressed in ALS samples. We demonstrate that these tools can therefore be used for a stand-alone analysis or easily integrated into current workflows and may be useful for re-analysis as annotations can be integrated post hoc.
RESUMO
Introduction: Despite decades of research, causes of ALS remain unclear. To evaluate recent hypotheses of plausible environmental factors, the aim of this study was to synthesize and appraise literature on the potential associations between the surrounding environment, including urbanization, air pollution and water pollution, and ALS. Methods: We conducted a series (n = 3) of systematic reviews in PubMed and Scopus to identify epidemiological studies assessing relationships between urbanization, air pollution and water pollution with the development of ALS. Results: The combined search strategy led to the inclusion of 44 articles pertaining to at least one exposure of interest. Of the 25 included urbanization studies, four of nine studies on living in rural areas and three of seven studies on living in more highly urbanized/dense areas found positive associations to ALS. There were also three of five studies for exposure to electromagnetic fields and/or proximity to powerlines that found positive associations to ALS. Three case-control studies for each of diesel exhaust and nitrogen dioxide found positive associations with the development of ALS, with the latter showing a dose-response in one study. Three studies for each of high selenium content in drinking water and proximity to lakes prone to cyanobacterial blooms also found positive associations to ALS. Conclusion: Whereas markers of air and water pollution appear as potential risk factors for ALS, results are mixed for the role of urbanization.
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Extracellular vesicles, small reservoirs that carry various biomolecules, have gained significant interest from the clinical field in recent years based on the diagnostic, therapeutic and prognostic possibilities they offer. While information abound regarding the clinical potential of such vesicles in diverse conditions, the information demonstrating their likely importance in amyotrophic lateral sclerosis (ALS) is more limited. This review will thus provide a brief introduction to extracellular vesicles, highlight their diagnostic significance in various diseases with a focus on ALS and explore additional applications of extracellular vesicles in the medical field. Overall, this work sheds further light on the clinical importance of extracellular vesicles in diagnostic applications as well as supports the need to better characterize their roles and signatures in patients diagnosed with ALS.
Assuntos
Esclerose Lateral Amiotrófica/diagnóstico , Esclerose Lateral Amiotrófica/metabolismo , Vesículas Extracelulares/metabolismo , HumanosRESUMO
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder associated with the progressive death of motor neurons. Mean survival for a patient diagnosed with ALS is between 2 and 5â¯years. Early and efficient diagnosis of the various forms of ALS remains a significant challenge, resulting in a need to identify clinically-relevant biomarkers in readily accessible body fluids. microRNAs (miRNAs) are short, evolutionarily conserved non-coding RNA molecules involved in post-transcriptional regulation of gene expression that have received interest as disease biomarkers. This study was undertaken to identify an ALS-associated miRNA signature in extracellular vesicles (EVs), which can cross the blood-brain barrier and enter the circulatory system, obtained from plasma samples of persons diagnosed and living with ALS (PALS). Next-generation sequencing was used to identify differentially expressed miRNAs recovered from EVs of PALS and healthy controls. High-throughput sequencing data for select miRNA targets was subsequently validated by droplet digital PCR (ddPCR). This approach revealed elevated levels of 5 miRNAs and reduced levels of 22 miRNAs in EVs collected from PALS as compared with healthy controls subjects. miRNAs with relevance to ALS were found to be deregulated, including miR-9-5p, miR-183-5p, miR-338-3p and miR-1246. MiR-15a-5p and miR-193a-5p were identified for their diagnostic potential of ALS and association with disability progression, respectively. Functional assessment of transcripts targeted by select ALS-associated miRNAs revealed processes such as transcriptional regulation and protein ubiquitination. These data identify an ALS-associated miRNAs signature in EVs of PALS and further strengthen the potential diagnostic relevance of these small molecules for this condition.