A long-term high-fat diet induces differential gene expression changes in spatially distinct adipose tissue of male mice.

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2024-12-01 Epub Date: 2024-09-30 DOI:10.1152/physiolgenomics.00080.2024
Malak Alradi, Hassan Askari, Mark Shaw, Jaysheel D Bhavsar, Brewster F Kingham, Shawn W Polson, Ibra S Fancher
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引用次数: 0

Abstract

The accumulation of visceral adipose tissue (VAT) is strongly associated with cardiovascular disease and diabetes. In contrast, individuals with increased subcutaneous adipose tissue (SAT) without corresponding increases in VAT are associated with a metabolic healthy obese phenotype. These observations implicate dysfunctional VAT as a driver of disease processes, warranting investigation into obesity-induced alterations of distinct adipose depots. To determine the effects of obesity on adipose gene expression, male mice (n = 4) were fed a high-fat diet to induce obesity or a normal laboratory diet (lean controls) for 12-14 mo. Mesenteric VAT and inguinal SAT were isolated for bulk RNA sequencing. AT from lean controls served as a reference to obesity-induced changes. The long-term high-fat diet induced the expression of 169 and 814 unique genes in SAT and VAT, respectively. SAT from obese mice exhibited 308 differentially expressed genes (164 upregulated and 144 downregulated). VAT from obese mice exhibited 690 differentially expressed genes (262 genes upregulated and 428 downregulated). KEGG pathway and GO analyses revealed that metabolic pathways were upregulated in SAT versus downregulated in VAT while inflammatory signaling was upregulated in VAT. We next determined common genes that were differentially regulated between SAT and VAT in response to obesity and identified four genes that exhibited this profile: elovl6 and kcnj15 were upregulated in SAT/downregulated in VAT while trdn and hspb7 were downregulated in SAT/upregulated in VAT. We propose that these genes in particular should be further pursued to determine their roles in SAT versus VAT with respect to obesity.NEW & NOTEWORTHY A long-term high-fat diet induced the expression of more than 980 unique genes across subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT). The high-fat diet also induced the differential expression of nearly 1,000 AT genes. We identified four genes that were oppositely expressed in SAT versus VAT in response to the high-fat diet and propose that these genes in particular may serve as promising targets aimed at resolving VAT dysfunction in obesity.

长期高脂肪饮食会诱导雄性小鼠脂肪组织中不同空间的基因表达发生变化。
内脏脂肪组织(VAT)的积累与心血管疾病和糖尿病密切相关。与此相反,皮下脂肪组织(SAT)增加而内脏脂肪组织(VAT)没有相应增加的人却具有代谢健康的肥胖表型。这些观察结果表明,功能失调的脂肪组织是疾病过程的一个驱动因素,因此有必要对肥胖引起的不同脂肪库的改变进行研究。为了确定肥胖对脂肪基因表达的影响,雄性小鼠(n=4)被喂食高脂肪饮食以诱导肥胖或正常实验室饮食(瘦对照组)12-14 个月。分离肠系膜 VAT 和腹股沟 SAT 以进行大量 RNA 测序。瘦对照组的 AT 可作为肥胖诱导变化的参考。长期高脂饮食分别诱导 SAT 和 VAT 中 169 和 814 个独特基因的表达。肥胖小鼠的腹腔脂肪表现出 308 个差异表达基因(164 个上调,144 个下调)。肥胖小鼠的血管内皮细胞有 690 个差异表达基因(262 个基因上调,428 个基因下调)。KEGG 通路和 GO 分析显示,代谢通路在 SAT 中上调,而在 VAT 中下调,而炎症信号转导在 VAT 中上调。我们接下来确定了 SAT 和 VAT 中因肥胖而受到不同调控的常见基因,并确定了表现出这种特征的四个基因:Elovl6 和 Kcnj15 在 SAT 中上调/在 VAT 中下调,而 trdn 和 hspb7 在 SAT 中下调/在 VAT 中上调。我们建议对这些基因进行进一步研究,以确定它们在 SAT 和 VAT 肥胖症中的作用。
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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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