Transcriptomics-driven lipidomics (TDL) identifies the microbiome-regulated targets of ileal lipid metabolism.
Transcriptomics-driven lipidomics (TDL) identifies the microbiome-regulated targets of ileal lipid metabolism.
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DOI：
10.1038/s41540-017-0033-0
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发表时间：
2017
影响因子：
4
通讯作者：
Masoodi M
中科院分区：
文献类型：
--
作者：
Chakrabarti A;Membrez M;Morin-Rivron D;Siddharth J;Chou CJ;Henry H;Bruce S;Metairon S;Raymond F;Betrisey B;Loyer C;Parkinson SJ;Masoodi M
肠道微生物群和脂类代谢都被认为是维持代谢健康的重要组成部分。涉及的机制是多因素的，(特别是对微生物组)定义不明确。研究微生物对脂类代谢影响的复杂性的战略方法将有助于确定微生物组靶向治疗的相关分子机制。大肠埃希氏菌与肥胖和代谢综合征有关，我们将这种联系与诺生菌模型结合起来，研究了大肠杆菌对脂类代谢的影响。为了解决微生物组和脂代谢整合的复杂性，我们发展了转录组学驱动的脂组学(TDL)来预测大肠杆菌定植对脂代谢的影响，并建立了炎症和胰岛素抵抗的介质，包括花生四烯酸代谢、胆汁酸的变化和饮食中的脂吸收。因此，针对这些机制的微生物组相关治疗方法可能提供一种支持维持代谢健康的治疗途径。微生物对宿主脂代谢的影响是多因素的，对健康和疾病都有重大影响。由雀巢健康科学研究所(NIHS)的Mojgan Masoodi和Scott Parkinson领导的团队开发了一种综合的数据驱动方法，用于预测脂质组学对宿主微生物对脂质代谢的影响。对接种了大肠杆菌的无菌小鼠进行的体内研究和体外研究结果表明，大肠杆菌对回肠花生四烯酸代谢的影响具有多因素性质，并改变了宿主炎症和脂肪吸收。这些发现为理解宿主-微生物组相互作用和确定与微生物组相关的维持健康和应对疾病的解决方案提供了见解。所提出的系统方法适用于研究宿主脂代谢中广泛的微生物组依赖和独立的变化。
The gut microbiome and lipid metabolism are both recognized as essential components in the maintenance of metabolic health. The mechanisms involved are multifactorial and (especially for microbiome) poorly defined. A strategic approach to investigate the complexity of the microbial influence on lipid metabolism would facilitate determination of relevant molecular mechanisms for microbiome-targeted therapeutics. E. coli is associated with obesity and metabolic syndrome and we used this association in conjunction with gnotobiotic models to investigate the impact of E. coli on lipid metabolism. To address the complexities of the integration of the microbiome and lipid metabolism, we developed transcriptomics-driven lipidomics (TDL) to predict the impact of E. coli colonization on lipid metabolism and established mediators of inflammation and insulin resistance including arachidonic acid metabolism, alterations in bile acids and dietary lipid absorption. A microbiome-related therapeutic approach targeting these mechanisms may therefore provide a therapeutic avenue supporting maintenance of metabolic health. Microbes multifactorially impact host lipid metabolism bearing a significant impact in health and disease. A team led by Mojgan Masoodi and Scott Parkinson at Nestlé Institute of Health Sciences (NIHS) developed an integrative data driven approach for predictive lipidomics investigations of host-microbial impacts on lipid metabolism. Results of in-vivo studies with germ-free mice inoculated with E. coli and in-vitro studies demonstrated the multifactorial nature of the impact of E. coli on arachidonic acid metabolism in the ileum and altered host inflammation and lipid absorption. The findings provide insights into understanding the host-microbiome interactions and identifying microbiome-related solutions for maintaining health and tackling disease. The systems approach presented is applicable to investigate broad range of microbiome dependent and independent alterations in host lipid metabolism.
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LMPD：脂质地图蛋白质组数据库。
影响因子：
14.9
作者：
Cotter, Dawn;Maer, Andreia;Guda, Chittibabu;Saunders, Brian;Subramaniam, Shankar
通讯作者：
Subramaniam, Shankar
影响因子：
3.7
作者：
Caesar R;Manieri M;Kelder T;Boekschoten M;Evelo C;Müller M;Kooistra T;Cinti S;Kleemann R;Drevon CA
通讯作者：
Drevon CA
影响因子：
4.6
作者：
Chakrabarti, Anirikh;Siddharth, Jay;Parkinson, Scott J.
通讯作者：
Parkinson, Scott J.
影响因子：
5.8
作者：
Jensen, Paul A.;Papin, Jason A.
通讯作者：
Papin, Jason A.
DOI：
10.1073/pnas.0507749103
发表时间：
2006-02-28
影响因子：
11.1
作者：
Heise, T;Dersch, P
通讯作者：
Dersch, P