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肥胖症脂肪生成和脂肪形成因子脂肪组织基因表达的主成分分析。

Principal component analysis of adipose tissue gene expression of lipogenic and adipogenic factors in obesity.

机构信息

Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Department of Surgery, School of Medicine, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

BMC Endocr Disord. 2023 Apr 27;23(1):94. doi: 10.1186/s12902-023-01347-w.

DOI:10.1186/s12902-023-01347-w
PMID:37106328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10134674/
Abstract

OBJECTIVE

A better understanding of mechanisms regulating lipogenesis and adipogenesis is needed to overcome the obesity pandemic. We aimed to study the relationship of the transcript levels of peroxisome proliferator activator receptor γ (PPARγ), CCAAT/enhancer-binding protein alpha (C/EBP-α), liver X receptor (LXR), sterol regulatory element-binding protein-1c (SREBP-1c), fatty acid synthase (FAS), and acetyl-CoA carboxylase (ACC) in subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from obese and normal-weight women with a variety of anthropometric indices, metabolic and biochemical parameters, and insulin resistance.

METHODS

Real-time PCR was done to evaluate the transcript levels of the above-mentioned genes in VAT and SAT from all participants.

RESULTS

Using principal component analysis (PCA) results, two significant principal components were identified for adipogenic and lipogenic genes in SAT (SPC1 and SPC2) and VAT (VPC1 and VPC2). SPC1 was characterized by relatively high transcript levels of SREBP1c, PPARγ, FAS, and ACC. However, the second pattern (SPC2) was associated with C/EBPα and LXR α mRNA expression. VPC1 was characterized by transcript levels of SREBP1c, FAS, and ACC. However, the VPC2 was characterized by transcript levels of C/EBPα, LXR α, and PPARγ. Pearson's correlation analysis showed that unlike SPC2, which disclosed an inverse correlation with body mass index, waist and hip circumference, waist to height ratio, visceral adiposity index, HOMA-IR, conicity index, lipid accumulation product, and weight-adjusted waist index, the VPC1 was positively correlated with above-mentioned obesity indices.

CONCLUSION

This study provided valuable data on multiple patterns for adipogenic and lipogenic genes in adipose tissues in association with a variety of anthropometric indices in obese subjects predicting adipose tissue dysfunction and lipid accumulation.

摘要

目的

为了克服肥胖症的流行,我们需要更好地了解调节脂肪生成和脂肪形成的机制。我们旨在研究肥胖和正常体重女性的皮下脂肪组织 (SAT) 和内脏脂肪组织 (VAT) 中过氧化物酶体增殖物激活受体 γ (PPARγ)、CCAAT/增强子结合蛋白 α (C/EBP-α)、肝 X 受体 (LXR)、固醇调节元件结合蛋白-1c (SREBP-1c)、脂肪酸合酶 (FAS) 和乙酰辅酶 A 羧化酶 (ACC) 的转录水平与多种人体测量指数、代谢和生化参数以及胰岛素抵抗之间的关系。

方法

对所有参与者的 VAT 和 SAT 中的上述基因的转录水平进行实时 PCR 检测。

结果

使用主成分分析 (PCA) 结果,在 SAT (SPC1 和 SPC2) 和 VAT (VPC1 和 VPC2) 中确定了两个与脂肪形成和脂肪生成基因相关的重要主成分。SPC1 的特征是 SREBP1c、PPARγ、FAS 和 ACC 的转录水平相对较高。然而,第二个模式 (SPC2) 与 C/EBPα 和 LXR α mRNA 表达有关。VPC1 的特征是 SREBP1c、FAS 和 ACC 的转录水平。然而,VPC2 的特征是 C/EBPα、LXR α 和 PPARγ 的转录水平。Pearson 相关分析表明,与 SPC2 不同,SPC2 与体重指数、腰围和臀围、腰高比、内脏脂肪指数、HOMA-IR、凸度指数、脂质堆积产物和体重调整腰围指数呈反比,VPC1 与上述肥胖指数呈正相关。

结论

本研究提供了有关肥胖人群脂肪组织中成脂和脂肪生成基因的多种模式的有价值的数据,这些模式与各种人体测量指数相关,可预测脂肪组织功能障碍和脂质堆积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9d2/10134674/05f57c58f854/12902_2023_1347_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9d2/10134674/05f57c58f854/12902_2023_1347_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9d2/10134674/05f57c58f854/12902_2023_1347_Fig1_HTML.jpg

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