Comparative Effects of Tumor Necrosis Factor Alpha, Lipopolysaccharide, and Palmitate on Mitochondrial Dysfunction in Cultured 3T3-L1 Adipocytes

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Babalwa Unice Jack, Stephanie Dias, Carmen Pheiffer
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引用次数: 0

Abstract

We have previously reported that dysregulated lipid metabolism and inflammation in 3T3-L1 adipocytes is attributed to tumor necrosis factor alpha (TNFα) rather than lipopolysaccharide (LPS) and palmitate (PA). In this study, we further compared the modulative effects of TNFα, LPS, and PA on mitochondrial function by treating 3T3-L1 adipocytes with TNFα (10 ng/mL), LPS (100 ng/mL), and PA (0.75 mM) individually or in combination for 24 h. Results showed a significant reduction in intracellular adenosine triphosphate (ATP) content, mitochondrial bioenergetics, total antioxidant capacity, and the mRNA expression of citrate synthase (Cs), sirtuin 3 (Sirt3), protein kinase AMP-activated catalytic subunit alpha 2 (Prkaa2), peroxisome proliferator-activated receptor gamma coactivator 1 alpha (Ppargc1α), nuclear respiratory factor 1 (Nrf1), and superoxide dismutase 1 (Sod1) in cells treated with TNFα individually or in combination with LPS and PA. Additionally, TNFα treatments decreased insulin receptor substrate 1 (Irs1), insulin receptor substrate 2 (Irs2), solute carrier family 2, facilitated glucose transporter member 4 (Slc2a4), and phosphoinositide 3 kinase regulatory subunit 1 (Pik3r1) mRNA expression. Treatment with LPS and PA alone, or in combination, did not affect the assessed metabolic parameters, while the combination of LPS and PA increased lipid peroxidation. These results show that TNFα but not LPS and PA dysregulate mitochondrial function, thus inducing oxidative stress and impaired insulin signaling in 3T3-L1 adipocytes. This suggests that TNFα treatment can be used as a basic in vitro model for studying the pathophysiology of mitochondrial dysfunction and related metabolic complications and screening potential anti-obesity therapeutics in 3T3-L1 adipocytes.

Abstract Image

肿瘤坏死因子α、脂多糖和棕榈酸酯对培养的 3T3-L1 脂肪细胞线粒体功能障碍的比较效应
我们以前曾报道过,3T3-L1 脂肪细胞脂质代谢和炎症失调的原因是肿瘤坏死因子α(TNFα),而不是脂多糖(LPS)和棕榈酸酯(PA)。在本研究中,我们进一步比较了 TNFα、LPS 和 PA 对线粒体功能的调节作用,方法是用 TNFα(10 ng/mL)、LPS(100 ng/mL)和 PA(0.75 mM)单独或联合处理 3T3-L1 脂肪细胞 24 小时。结果表明,细胞内三磷酸腺苷(ATP)含量、线粒体生物能、总抗氧化能力以及柠檬酸合成酶(Cs)、sirtuin 3(Sirt3)、蛋白激酶 AMP 激活催化亚基α2(Prkaa2)的 mRNA 表达均明显降低、在单独使用 TNFα 或与 LPS 和 PA 联合使用 TNFα 处理的细胞中,过氧化物酶体增殖体激活受体γ辅助激活剂 1 α(Ppargc1α)、核呼吸因子 1(Nrf1)和超氧化物歧化酶 1(Sod1)的活性都有所提高。此外,TNFα处理会降低胰岛素受体底物1(Irs1)、胰岛素受体底物2(Irs2)、溶质运载家族2、促进葡萄糖转运体成员4(Slc2a4)和磷酸肌醇3激酶调节亚基1(Pik3r1)mRNA的表达。单独或联合使用 LPS 和 PA 不会影响评估的代谢参数,而 LPS 和 PA 联合使用会增加脂质过氧化。这些结果表明,TNFα(而非 LPS 和 PA)会导致线粒体功能失调,从而诱发氧化应激并损害 3T3-L1 脂肪细胞的胰岛素信号传导。这表明,TNFα处理可作为研究线粒体功能障碍及相关代谢并发症的病理生理学和筛选潜在抗肥胖疗法的基本体外模型。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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