DNA methylation of miRNA coding sequences putatively associated with childhood obesity

Mansego, María L.; Garcia-Lacarte, Marcos; Milagro, Fermı́n I.; Martí, Amelia; Martínéz, J. Alfredo; members, Genoi

doi:10.1111/ijpo.12101

Cited by 36 publications

(38 citation statements)

References 29 publications

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“…A total of 500 ng of purified DNA was treated with sodium‐bisulfite using the EZ‐96 DNA Methylation Kit (Zymo Research Corporation, Irvine, CA, USA) according to the manufacturer's protocol. Modified DNA samples were whole‐genome amplified and hybridized to Infinium Human Methylation 450K BeadChips (Illumina, San Diego, CA, USA) as detailed elsewhere (Mansego, Garcia‐Lacarte, Milagro, Marti, & Martinez, 2017). The scanning of the samples was carried out with the Illumina HiScanSQ system, and the image intensities were extracted with the GenomeStudio Methylation Software Module, v1.9 (Illumina).…”

Section: Methodsmentioning

confidence: 99%

Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake

et al. 2018

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IntroductionDopamine (DA) is a neurotransmitter that regulates the rewarding and motivational processes underlying food intake and eating behaviors. This study hypothesized associations of DNA methylation signatures at genes modulating DA signaling with obesity features, metabolic profiles, and dietary intake.MethodsAn adult population within the Methyl Epigenome Network Association project was included (n = 473). DNA methylation levels in white blood cells were measured by microarray (450K). Differentially methylated genes were mapped within the dopaminergic synapse pathway using the KEGG reference database (map04728). Subsequently, network enrichment analyses were run in the pathDIP portal. Associations of methylation patterns with anthropometric markers of general (BMI) and abdominal obesity (waist circumference), the blood metabolic profile, and daily dietary intakes were screened.ResultsAfter applying a correction for multiple comparisons, 12 CpG sites were strongly associated (p < 0.0001) with BMI: cg03489495 (ITPR3), cg22851378 (PPP2R2D), cg04021127 (PPP2R2D), cg22441882 (SLC18A1), cg03045635 (DRD5), cg23341970 (ITPR2), cg13051970 (DDC), cg08943004 (SLC6A3), cg20557710 (CACNA1C), cg24085522 (GNAL), cg16846691 (ITPR2), and cg09691393 (SLC6A3). Moreover, average methylation levels of these genes differed according to the presence or absence of abdominal obesity. Pathway analyses revealed a statistically significant contribution of the aforementioned genes to dopaminergic synapse transmission (p = 4.78E−08). Furthermore, SLC18A1 and SLC6A3 gene methylation signatures correlated with total energy (p < 0.001) and carbohydrate (p < 0.001) intakes.ConclusionsThe results of this investigation reveal that methylation status on DA signaling genes may underlie epigenetic mechanisms contributing to carbohydrate and calorie consumption and fat deposition.

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Section: Methodsmentioning

confidence: 99%

Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake

et al. 2018

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“…The EZ DNA Methylation Kit (Zymo Research, Irvine, CA, U.S.A.) was used for the bisulfite conversion of 1000 ng of genomic DNA. Infinium methylation assay was carried out with the Illumina Infinium Human Methylation 450 Bead Chip (Illumina, San Diego, CA, U.S.A.) by Making Genetics (Making Genetics, Noáin, Spain) . Data analysis was performed using the ChAMP pipeline, resulting in a dataset of 433 237 CpG sites with good hybridization quality.…”

Section: (A) Summary Of the Ewas Association Analysis Performed And Tmentioning

confidence: 99%

“…Infinium methylation assay was carried out with the Illumina Infinium Human Methylation 450 Bead Chip (Illumina, San Diego, CA, U.S.A.) 5 by Making Genetics (Making Genetics, No ain, Spain). 5 using the ChAMP pipeline, 6 resulting in a dataset of 433 237 CpG sites with good hybridization quality. To reduce possible bias due to cell heterogeneity, DNA methylation data were corrected with the algorithm described by Houseman et al 7 and adjusted for the covariates sex and age.…”

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confidence: 99%

Epigenetic biomarkers associated with antitumour necrosis factor drug response in moderate-to-severe psoriasis

et al. 2018

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“…Li et al (26) have also reported that that miR-216a-5p is involved in diabetes and targeted genes including ANGPTL4, ANXA9, CFH, CHI3L2 and INPP4B (26). Mansego et al (27) found that miR-216a-5p might be involved in miRNA mediated epigenetic regulation in childhood obesity and the coding regions of miR-216a-5p were methylated (27). Furthermore, it was suggested that miR-216a-5p had an impact on chronic kidney diseases (28), nephrotic syndrome (29) and end-stage failing hearts (30).…”

Section: Discussionmentioning

confidence: 99%

miR-216a-5p acts as an oncogene in renal cell carcinoma

et al. 2018

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Abstract. MiR-216a-5p has been acknowledged as an oncogene and is known to be involved in the progression and metastasis of numerous cancer subtypes. However, the potential role of miR-216a-5p in renal cell carcinoma (RCC) remains to be elucidated. In the present study, reverse transcription-quantitative polymerase chain reaction was performed to detect the expression levels of miR-216a-5p in RCC tissues. Cell counting kit-8, MTT, wound scratch, Transwell and flow cytometric assays were performed to establish the biological functions of miR-216a-5p in RCC. Functional experiments demonstrated that the expression of miR-216a-5p was upregulated in RCC (P<0.05) and miR-216a-5p mimics promoted cellular proliferation, viability and motility, and suppressed apoptosis. Conversely, miR-216a-5p inhibitor suppressed cellular proliferation, viability, motility and induced apoptosis. Based on these findings, it was concluded that miR-216a-5p may function as an oncogene in RCC. MiR-216a-5p target genes need to be explored and the potential of miR-216a-5p to be used as a diagnostic or a prognostic biomarker for RCC needs to be validated by future research.

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DNA methylation of miRNA coding sequences putatively associated with childhood obesity

Abstract: The current work identified three CpG sites located in coding regions of three miRNAs (miR-1203, miR-412 and miR-216A) that were differentially methylated between obese and non-obese children, suggesting a role of miRNA epigenetic regulation in childhood obesity.

Cited by 36 publications

References 29 publications

Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake

Dopamine gene methylation patterns are associated with obesity markers and carbohydrate intake

Epigenetic biomarkers associated with antitumour necrosis factor drug response in moderate-to-severe psoriasis

miR-216a-5p acts as an oncogene in renal cell carcinoma

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