MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation

Zhang, Hao; Li, Liming; Hu, Jianguo; Song, Lan

doi:10.12659/msm.895982

Cited by 20 publications

(8 citation statements)

References 22 publications

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“…These phenomena influence the pattern of circulating miRNAs. Several articles [36][37][38] show a link between miR-215 (a false positive) and inflammation. These results tend to confirm that the miRNAs listed in Table 2 are more implied in the general pathways of the immune response than in the carcinogenesis phenomena of breast cancers.…”

Section: Resultsmentioning

confidence: 99%

Prediction of miRNA-disease associations with a vector space model

Pasquier

Gardès²

2016

Sci Rep

100

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MicroRNAs play critical roles in many physiological processes. Their dysregulations are also closely related to the development and progression of various human diseases, including cancer. Therefore, identifying new microRNAs that are associated with diseases contributes to a better understanding of pathogenicity mechanisms. MicroRNAs also represent a tremendous opportunity in biotechnology for early diagnosis. To date, several in silico methods have been developed to address the issue of microRNA-disease association prediction. However, these methods have various limitations. In this study, we investigate the hypothesis that information attached to miRNAs and diseases can be revealed by distributional semantics. Our basic approach is to represent distributional information on miRNAs and diseases in a high-dimensional vector space and to define associations between miRNAs and diseases in terms of their vector similarity. Cross validations performed on a dataset of known miRNA-disease associations demonstrate the excellent performance of our method. Moreover, the case study focused on breast cancer confirms the ability of our method to discover new disease-miRNA associations and to identify putative false associations reported in databases.

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Section: Resultsmentioning

confidence: 99%

Prediction of miRNA-disease associations with a vector space model

Pasquier

Gardès²

2016

Sci Rep

100

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“…Another miRNA, miR-183, was upregulated in both heart and skeletal muscle of MCS-exposed mice, while it was downregulated in lung, liver, and spleen, and was decreased in blood serum, BALF, and urine. This miRNA is part of the regulatory network revealing the mechanism of inflammation in atrial fibrillation 39 .…”

Section: Discussionmentioning

confidence: 99%

Release of MicroRNAs into Body Fluids from Ten Organs of Mice Exposed to Cigarette Smoke

Izzotti¹,

Longobardi²,

Maestra³

et al. 2018

Theranostics

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Purpose: MicroRNAs are small non-coding RNAs that regulate gene expression, thereby playing a role in a variety of physiological and pathophysiological states. Exposure to cigarette smoke extensively downregulates microRNA expression in pulmonary cells of mice, rats, and humans. Cellular microRNAs are released into body fluids, but a poor parallelism was previously observed between lung microRNAs and circulating microRNAs. The purpose of the present study was to validate the application of this epigenetic biomarker by using less invasive collection procedures.Experimental design: Using microarray analyses, we measured 1135 microRNAs in 10 organs and 3 body fluids of mice that were either unexposed or exposed to mainstream cigarette smoke for up to 8 weeks. The results obtained with selected miRNAs were validated by qPCR.Results: The lung was the main target affected by smoke (190 dysregulated miRNAs), followed by skeletal muscle (180), liver (138), blood serum (109), kidney (96), spleen (89), stomach (36), heart (33), bronchoalveolar lavage fluid (32), urine (27), urinary bladder (12), colon (5), and brain (0). Skeletal muscle, kidney, and lung were the most important sources of smoke-altered microRNAs in blood serum, urine, and bronchoalveolar lavage fluid, respectively.Conclusions: microRNA expression analysis was able to identify target organs after just 8 weeks of exposure to smoke, well before the occurrence of any detectable histopathological alteration. The present translational study validates the use of body fluid microRNAs as biomarkers applicable to human biomonitoring for mechanistic studies, diagnostic purposes, preventive medicine, and therapeutic strategies.

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“…Over the past years, the role of miRNAs in various cardiovascular diseases has received a major interest [ 11 ]. MiRNAs have been suggested, among others, as key regulators of electrical remodeling [ 12 ], structural remodeling [ 13 ], autonomic nerve remodeling [ 14 ], calcium handling abnormalities [ 15 ], and inflammation [ 16 ] of the heart. These functions suggest a role for miRNAs in AF pathophysiology.…”

Section: Introductionmentioning

confidence: 99%

Circulatory MicroRNAs in Plasma and Atrial Fibrillation in the General Population: The Rotterdam Study

Geurts

Mens

Bos

et al. 2021

Genes

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Background: MicroRNAs (miRNAs), small non-coding RNAs regulating gene expression, have been shown to play an important role in cardiovascular disease. However, limited population-based data regarding the relationship between circulatory miRNAs in plasma and atrial fibrillation (AF) exist. Moreover, it remains unclear if the relationship differs by sex. We therefore aimed to determine the (sex-specific) association between plasma circulatory miRNAs and AF at the population level. Methods: Plasma levels of miRNAs were measured using a targeted next-generation sequencing method in 1999 participants from the population-based Rotterdam Study. Logistic regression and Cox proportional hazards models were used to assess the associations of 591 well-expressed miRNAs with the prevalence and incidence of AF. Models were adjusted for cardiovascular risk factors. We further examined the link between predicted target genes of the identified miRNAs. Results: The mean age was 71.7 years (57.1% women), 98 participants (58 men and 40 women) had prevalent AF at baseline. Moreover, 196 participants (96 men and 100 women) developed AF during a median follow-up of 9.0 years. After adjusting for multiple testing, miR-4798-3p was significantly associated with the odds of prevalent AF among men (odds ratio, 95% confidence interval, 0.39, 0.24–0.66, p-value = 0.000248). No miRNAs were significantly associated with incident AF. MiR-4798-3p could potentially regulate the expression of a number of AF-related genes, including genes involved in calcium and potassium handling in myocytes, protection of cells against oxidative stress, and cardiac fibrosis. Conclusions: Plasma levels of miR-4798-3p were significantly associated with the odds of prevalent AF among men. Several target genes in relation to AF pathophysiology could potentially be regulated by miR-4798-3p that warrant further investigations in future experimental studies.

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MicroRNA Regulatory Network Revealing the Mechanism of Inflammation in Atrial Fibrillation

Cited by 20 publications

References 22 publications

Prediction of miRNA-disease associations with a vector space model

Prediction of miRNA-disease associations with a vector space model

Release of MicroRNAs into Body Fluids from Ten Organs of Mice Exposed to Cigarette Smoke

Circulatory MicroRNAs in Plasma and Atrial Fibrillation in the General Population: The Rotterdam Study

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