利用 SWATH 蛋白组学对胃旁路手术后大鼠肝脏新陈代谢进行基于多组学网络的分析。

TECHNOLOGY Pub Date : 2017-09-01 Epub Date: 2017-09-26 DOI:10.1142/S233954781750008X
Gautham Vivek Sridharan, Matthew D'Alessandro, Shyam Sundhar Bale, Vicky Bhagat, Hugo Gagnon, John M Asara, Korkut Uygun, Martin L Yarmush, Nima Saeidi
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引用次数: 0

摘要

病态肥胖患者通常会选择鲁克斯全Y胃旁路术(RYGB),这是一种减肥手术,可使体重明显减轻30%,并逆转II型糖尿病患者的胰岛素抵抗。如果能更全面地了解 RYGB 术后驱动复杂代谢重编程的潜在分子机制,就能开发出创新的非侵入性疗法,模仿手术的有益效果,即减轻体重、控制血糖或逆转非酒精性脂肪性肝炎(NASH)。为了促进这些发现,我们在此首次对啮齿动物 RYGB 模型进行了多组学研究,以揭示与体重调节和能量平衡控制有关的组织特异性通路模块。在这项研究中,我们利用 SWATH 蛋白组学(一种利用高分辨率质谱量化生物样本中蛋白质水平的新兴无标记方法)和 MRM 代谢组学,重点研究和评估了大鼠 RYGB 三个月后的肝脏代谢情况。通过 SWATH 分析,我们对肝脏组织提取物中的 1378 种蛋白质进行了定量分析,其中我们报告了 Thrsp 和 Acot13 在 RYGB 中的显著下调,这两种蛋白质可能是脂质代谢的减肥靶标。此外,我们还开发了一种基于计算图的代谢网络模块检测算法,用于发现 RYGB 处理的大鼠肝脏中代谢物和蛋白质显著升高或降低的非经典通路或子网络。分析发现,耗竭的蛋白质 Baat 与耗竭的代谢物牛磺酸之间存在网络联系,这证实了牛磺酸结合胆汁酸水平在 RYGB 术后受到干扰的临床观察结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics.

Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics.

Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics.

Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics.

Morbidly obese patients often elect for Roux-en-Y gastric bypass (RYGB), a form of bariatric surgery that triggers a remarkable 30% reduction in excess body weight and reversal of insulin resistance for those who are type II diabetic. A more complete understanding of the underlying molecular mechanisms that drive the complex metabolic reprogramming post-RYGB could lead to innovative non-invasive therapeutics that mimic the beneficial effects of the surgery, namely weight loss, achievement of glycemic control, or reversal of non-alcoholic steatohepatitis (NASH). To facilitate these discoveries, we hereby demonstrate the first multi-omic interrogation of a rodent RYGB model to reveal tissue-specific pathway modules implicated in the control of body weight regulation and energy homeostasis. In this study, we focus on and evaluate liver metabolism three months following RYGB in rats using both SWATH proteomics, a burgeoning label free approach using high resolution mass spectrometry to quantify protein levels in biological samples, as well as MRM metabolomics. The SWATH analysis enabled the quantification of 1378 proteins in liver tissue extracts, of which we report the significant down-regulation of Thrsp and Acot13 in RYGB as putative targets of lipid metabolism for weight loss. Furthermore, we develop a computational graph-based metabolic network module detection algorithm for the discovery of non-canonical pathways, or sub-networks, enriched with significantly elevated or depleted metabolites and proteins in RYGB-treated rat livers. The analysis revealed a network connection between the depleted protein Baat and the depleted metabolite taurine, corroborating the clinical observation that taurine-conjugated bile acid levels are perturbed post-RYGB.

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来源期刊
TECHNOLOGY
TECHNOLOGY ENGINEERING, MULTIDISCIPLINARY-
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