Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Age-related changes in microRNA levels in serum

ABSTRACT: microRNAs (miRNAs) are small noncoding RNAs that post-transcriptionally regulate gene expression by targeting specific mRNAs. Altered expression of circulating miRNAs have been associated with age-related diseases including cancer and cardiovascular disease. Although we and others have found an age-dependent decrease in miRNA expression in peripheral blood mononuclear cells (PBMCs), little is known about the role of circulating miRNAs in human aging. Here, we examined miRNA expression in human serum from young (mean age 30 years) and old (mean age 64 years) individuals using next generation sequencing technology and real-time quantitative PCR. Of the miRNAs that we found to be present in serum, three were significantly decreased in 20 older individuals compared to 20 younger individuals: miR-151a-5p, miR-181a-5p and miR-1248. Consistent with our data in humans, these miRNAs are also present at lower levels in the serum of elderly rhesus monkeys. In humans, miR-1248 was found to regulate the expression of mRNAs involved in inflammatory pathways and miR-181a was found to correlate negatively with the pro-inflammatory cytokines IL-6 and TNFa and to correlate positively with the anti-inflammatory cytokines TGFb and IL-10. These results suggest that circulating miRNAs may be a biological marker of aging and could also be important for regulating longevity. Identification of stable miRNA biomarkers in serum could have great potential as a noninvasive diagnostic tool as well as enhance our understanding of physiological changes that occur with age. Examination of microRNAs isolated from human serum from 11 young (mean age 30 yrs) and 11 old (mean age 64 yrs) individuals and from peripheral blood mononuclear cells from one young (30 yr) and one old (64 yr) individual.

ORGANISM(S): Homo sapiens

SUBMITTER: Kevin Becker

PROVIDER: E-GEOD-53439 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Age-related changes in microRNA levels in serum.

Noren Hooten Nicole N Fitzpatrick Megan M Wood William H WH De Supriyo S Ejiogu Ngozi N Zhang Yongqing Y Mattison Julie A JA Becker Kevin G KG Zonderman Alan B AB Evans Michele K MK

Aging 20131001 10

MicroRNAs (miRNAs) are small noncoding RNAs that post-transcriptionally regulate gene expression by targeting specific mRNAs. Altered expression of circulating miRNAs have been associated with age-related diseases including cancer and cardiovascular disease. Although we and others have found an age-dependent decrease in miRNA expression in peripheral blood mononuclear cells (PBMCs), little is known about the role of circulating miRNAs in human aging. Here, we examined miRNA expression in human s ...[more]

PMID: 24088671

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Project description:Following spinal cord injury, skeletal muscle loss is rapid. This severe atrophy is attributed to declines in protein synthesis and increases in protein breakdown. However, the signaling mechanisms controlling these changes are not well understood. Nine male patients and one female patient with spinal cord injury (SCI) (Mean Â± SEM = 43.9 Â± 6.7 yrs) were recruited for this study. Six patients were quadriplegics and four patients were paraplegics. Inclusion criteria were as follows: patients above the age of 18 yrs, absence of severe brain injury (Glasgow Coma Scale > 13), absence of muscle-crush injury or compartment syndrome, absence of all of the following conditions: hypoxic injury, systemic sepsis, systemic inflammatory or autoimmune disease, and malignancy. Muscle biopsies were obtained from the vastus lateralis muscles of the SCI patients two days and five days post-SCI. Biopsies collected two days post-SCI were included in the current analysis. Expression changes were measured by microarray and gene clustering; identification of enriched functions and canonical pathways were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) and Ingenuity Pathway Analysis (IPA). Functional analysis found that 48h following SCI expression, gene expression changes were related to decreases in metabolic functions such as the tricarboxylic acid cycle and oxidative phosphorylation as well as increases in functions associated with protein degradation such as proteasome activity and ubiquitination. Furthermore, increases in expression of metallothioneins were found to be the most over-represented functional group in the DAVID analysis. Results from this study showed that functional categories of gene expression changes in human skeletal muscle are consistent with previous findings in animals. Muscle biopsies were obtained from the vastus lateralis muscles of the SCI patients two days and five days post-SCI. (N = 10). A 5mm Berstrom biopsy needle was used. Biopsy samples were immediately snap-frozen in liquid nitrogen upon excision. All samples were stored at -80Â° C until analysis.

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Project description:Proctor2017 - Identifying microRNA for muscle regeneration during ageing (Mir181_in_muscle) This model is described in the article: Using computer simulation models to investigate the most promising microRNAs to improve muscle regeneration during ageing Carole J. Proctor & Katarzyna Goljanek-Whysall Scientific Reports Abstract: MicroRNAs (miRNAs) regulate gene expression through interactions with target sites within mRNAs, leading to enhanced degradation of the mRNA or inhibition of translation. Skeletal muscle expresses many different miRNAs with important roles in adulthood myogenesis (regeneration) and myofibre hypertrophy and atrophy, processes associated with muscle ageing. However, the large number of miRNAs and their targets mean that a complex network of pathways exists, making it difficult to predict the effect of selected miRNAs on age-related muscle wasting. Computational modelling has the potential to aid this process as it is possible to combine models of individual miRNA:target interactions to form an integrated network. As yet, no models of these interactions in muscle exist. We created the first model of miRNA:target interactions in myogenesis based on experimental evidence of individual miRNAs which were next validated and used to make testable predictions. Our model confirms that miRNAs regulate key interactions during myogenesis and can act by promoting the switch between quiescent/proliferating/differentiating myoblasts and by maintaining the differentiation process. We propose that a threshold level of miR-1 acts in the initial switch to differentiation, with miR-181 keeping the switch on and miR-378 maintaining the differentiation and miR-143 inhibiting myogenesis. This model is hosted on BioModels Database and identified by: MODEL1704110001. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Dataset Information

Age-related changes in microRNA levels in serum

Publications

Age-related changes in microRNA levels in serum.

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