ArticlePhysiological genomics2016
Integrative mRNA-microRNA analyses reveal novel interactions related to insulin sensitivity in human adipose tissue.
Article in Physiological genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Genome-wide DNA methylation signatures in blood associated with pediatric obesity.Clinical epigenetics · 2026Article
- Extracellular vesicle transfer of miR-1 to adipose tissue modifies lipolytic pathways following resistance exercise.JCI insight · 2024Article
- Developmental programming: Adipose depot-specific regulation of non-coding RNAs and their relation to coding RNA expression in prenatal testosterone and prenatal bisphenol-A -treated female sheep.Molecular and cellular endocrinology · 2023Article
- Analysis of the miRNA expression from the adipose tissue surrounding the adrenal neoplasia.Frontiers in cardiovascular medicine · 2022Article
- MicroRNAs: The Link between the Metabolic Syndrome and Oncogenesis.International journal of molecular sciences · 2021Review
- Network-based analysis of key regulatory genes implicated in Type 2 Diabetes Mellitus and Recurrent Miscarriages in Turner Syndrome.Scientific reports · 2021Article
- Centennial Review: Metabolic microRNA - shifting gears in the regulation of metabolic pathways in poultry.Poultry science · 2021Review
- Roles and regulatory mechanisms of miR-30b in cancer, cardiovascular disease, and metabolic disorders (Review).Experimental and therapeutic medicine · 2021Review
- Candesartan Neuroprotection in Rat Primary Neurons Negatively Correlates with Aging and Senescence: a Transcriptomic Analysis.Molecular neurobiology · 2020Article
- Epigenetics of chronic inflammatory diseases.Journal of inflammation research · 2019Review
- No novel, high penetrant gene might remain to be found in Japanese patients with unknown MODY.Journal of human genetics · 2018Article
- NGS Reveals Molecular Pathways Affected by Obesity and Weight Loss-Related Changes in miRNA Levels in Adipose Tissue.International journal of molecular sciences · 2017Article
- Regulatory Roles of MicroRNAs in Diabetes.International journal of molecular sciences · 2016Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Adipose tissue has profound effects on whole-body insulin sensitivity. However, the underlying biological processes are quite complex and likely multifactorial. For instance, the adipose transcriptome is posttranscriptionally modulated by microRNAs, but the relationship between microRNAs and insulin sensitivity in humans remains to be determined. To this end, we utilized an integrative mRNA-microRNA microarray approach to identify putative molecular interactions that regulate the transcriptome in subcutaneous adipose tissue of insulin-sensitive (IS) and insulin-resistant (IR) individuals. Using the NanoString nCounter Human v1 microRNA Expression Assay, we show that 17 microRNAs are differentially expressed in IR vs. IS. Of these, 16 microRNAs (94%) are downregulated in IR vs. IS, including miR-26b, miR-30b, and miR-145. Using Agilent Human Whole Genome arrays, we identified genes that were predicted targets of miR-26b, miR-30b, and miR-145 and were upregulated in IR subjects. This analysis produced ADAM22, MYO5A, LOX, and GM2A as predicted gene targets of these microRNAs. We then validated that miR-145 and miR-30b regulate these mRNAs in differentiated human adipose stem cells. We suggest that use of bioinformatic integration of mRNA and microRNA arrays yields verifiable mRNA-microRNA pairs that are associated with insulin resistance and can be validated in vitro.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.