MiRNA-122 as a biomarker for insulin resistance and risk of cardiovascular diseases in obese children

IF 1 Q4 GENETICS & HEREDITY

Gene Reports Pub Date : 2024-06-15 DOI:10.1016/j.genrep.2024.101947

Shimaa Metwally Abdou , Awatif Mohammed Abd El-Maksoud , Gihan Fouad Ahmed , Heba Gamal Abd El-Aziz

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引用次数: 0

Abstract

Background

Obesity in children is a major worldwide concern that has several negative health consequences in both the short and long term. The objective of this study was to evaluate the expression level of microRNA-122 in obese Egyptian children and investigate its potential associations with insulin resistance and cardiovascular diseases.

Methods

The study included 70 obese and 30 age-matched normal-weight control children. Anthropometric measurements, systolic, and diastolic blood pressures were assessed, and quantitative real-time polymerase chain reaction was used to determine the expression of circulating microRNA-122. Pancreatic beta cell function (HOMA2-%B), insulin resistance (HOMA2-IR), and insulin sensitivity (HOMA2-%S) was assessed by the homeostasis model assessment version 2 (HOMA2). McAuley index and single-point insulin sensitivity estimator (SPISE) was used to further evaluate insulin sensitivity. Levels of serum biochemical parameters were measured.

Results

The obese group showed significantly higher levels of microRNA-122, fasting blood glucose, triglycerides, total cholesterol, LDL, VLDL, non-HDL cholesterol, cardiac risk ratios, atherogenic coefficient, atherosclerotic index, insulin levels, HOMA2-%B, and HOMA2-IR compared to the control group. In obese children, microRNA-122 exhibited a significant negative correlation with HDL while a significant positive correlation with the cardiac risk ratio 1 and the atherogenic coefficient. MicroRNA-122 had predictive ability for insulin resistance and cardiovascular diseases risk in obese children. However, a significant decrease in HDL levels, HOMA2-%S, McAuley, and SPISE insulin sensitivity indices was found in obese children.

Conclusions

Modifications in blood levels of microRNA-122 in obese children may indicate a possible role in the etiology of childhood obesity and its associated consequences. As a result, it could function as a preliminary biomarker and potential indicator of further metabolic diseases.

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作为肥胖儿童胰岛素抵抗和心血管疾病风险生物标志物的 MiRNA-122

背景儿童肥胖是全世界关注的一个主要问题，它在短期和长期内都会对健康产生一些负面影响。本研究的目的是评估埃及肥胖儿童体内 microRNA-122 的表达水平，并研究其与胰岛素抵抗和心血管疾病的潜在关联。研究纳入了 70 名肥胖儿童和 30 名年龄匹配的正常体重对照组儿童，对他们的人体测量指标、收缩压和舒张压进行了评估，并使用定量实时聚合酶链反应测定了循环 microRNA-122 的表达。胰岛β细胞功能（HOMA2-%B）、胰岛素抵抗（HOMA2-IR）和胰岛素敏感性（HOMA2-%S）通过稳态模型评估版本2（HOMA2）进行评估。麦考利指数和单点胰岛素敏感性估算器（SPISE）用于进一步评估胰岛素敏感性。结果与对照组相比，肥胖组的 microRNA-122、空腹血糖、甘油三酯、总胆固醇、低密度脂蛋白、超低密度脂蛋白、非高密度脂蛋白胆固醇、心脏风险比、致动脉粥样硬化系数、动脉粥样硬化指数、胰岛素水平、HOMA2-%B 和 HOMA2-IR水平均显著升高。在肥胖儿童中，microRNA-122 与高密度脂蛋白呈显著负相关，而与心脏风险比 1 和动脉粥样硬化系数呈显著正相关。微RNA-122对肥胖儿童的胰岛素抵抗和心血管疾病风险具有预测能力。然而，肥胖儿童的高密度脂蛋白水平、HOMA2-%S、McAuley 和 SPISE 胰岛素敏感性指数明显下降。结论肥胖儿童血液中 microRNA-122 水平的变化可能表明其在儿童肥胖症的病因及其相关后果中可能扮演着重要角色，因此，它可以作为一种初步的生物标志物和进一步代谢疾病的潜在指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

3.30

自引率

7.70%

发文量

246

审稿时长

49 days

期刊介绍： Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.