Discovering a critical transition state from nonalcoholic hepatosteatosis to nonalcoholic steatohepatitis by lipidomics and dynamical network biomarkers | |
Sa, Rina1,2; Zhang, Wanwei2,3; Ge, Jing2,3; Wei, Xinben1,2; Zhou, Yunhua1; Landzberg, David R.4; Wang, Zhenzhen1; Han, Xianlin5; Chen, Luonan2,3,6; Yin, Huiyong1,2,6,7 | |
刊名 | Journal of molecular cell biology
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2016-06-01 | |
卷号 | 8期号:3页码:195-206 |
关键词 | Nonalcoholic fatty liver disease (nafld) Mass spectrometry lipidomics Systems biology Pre-nash Dynamical network biomarkers |
ISSN号 | 1674-2788 |
DOI | 10.1093/jmcb/mjw016 |
通讯作者 | Chen, luonan(lnchen@sibs.ac.cn) ; Yin, huiyong(hyyin@sibs.ac.cn) |
英文摘要 | Nonalcoholic fatty liver disease (nafld) is a major risk factor for type 2 diabetes and metabolic syndrome. however, accurately differentiating nonalcoholic steatohepatitis (nash) from hepatosteatosis remains a clinical challenge. we identified a critical transition stage (termed pre-nash) during the progression from hepatosteatosis to nash in a mouse model of high fat-induced nafld, using lipidomics and a mathematical model termed dynamic network biomarkers (dnb). different from the conventional biomarker approach based on the abundance of molecular expressions, the dnb model exploits collective fluctuations and correlations of different metabolites at a network level. we found that the correlations between the blood and liver lipid species drastically decreased after the transition from steatosis to nash, which may account for the current difficulty in differentiating nash from steatosis based on blood lipids. furthermore, most dnb members in the blood circulation, especially for triacylglycerol (tag), are also identified in the liver during the disease progression, suggesting a potential clinical application of dnb to diagnose nash based on blood lipids. we further identified metabolic pathways responsible for this transition. our study suggests that the transition from steatosis to nash is not smooth and the existence of pre-nash may be partially responsible for the current clinical limitations to diagnose nash. if validated in humans, our study will open a new avenue to reliably diagnose pre-nash and achieve early intervention of nafld. |
WOS关键词 | FATTY LIVER-DISEASE ; IDENTIFYING CRITICAL TRANSITIONS ; EARLY-WARNING SIGNALS ; COMPLEX DISEASES ; SHOTGUN LIPIDOMICS ; HEPATIC STEATOSIS ; MASS-SPECTROMETRY ; BIOLOGICAL SAMPLES ; EDGE BIOMARKERS ; SINGLE-SAMPLE |
WOS研究方向 | Cell Biology |
WOS类目 | Cell Biology |
语种 | 英语 |
出版者 | OXFORD UNIV PRESS |
WOS记录号 | WOS:000380253100003 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2374493 |
专题 | 中国科学院大学 |
通讯作者 | Chen, Luonan; Yin, Huiyong |
作者单位 | 1.Chinese Acad Sci, Shanghai Inst Biol Sci, Inst Nutr Sci, Key Lab Food Safety Res, Shanghai 200031, Peoples R China 2.Univ Chinese Acad Sci, CAS, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Syst Biol, Innovat Ctr Cell Signaling Network, Inst Biochem & Cell Biol,SIBS, Shanghai 200031, Peoples R China 4.Vanderbilt Univ Sch Med, Nashville, TN 37235 USA 5.Sanford Burnham Med Res Inst, Diabet & Obes Res Ctr, Orlando, FL 32827 USA 6.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai 201210, Peoples R China 7.Minist Hlth, Key Lab Food Safety Risk Assessment, Beijing 100021, Peoples R China |
推荐引用方式 GB/T 7714 | Sa, Rina,Zhang, Wanwei,Ge, Jing,et al. Discovering a critical transition state from nonalcoholic hepatosteatosis to nonalcoholic steatohepatitis by lipidomics and dynamical network biomarkers[J]. Journal of molecular cell biology,2016,8(3):195-206. |
APA | Sa, Rina.,Zhang, Wanwei.,Ge, Jing.,Wei, Xinben.,Zhou, Yunhua.,...&Yin, Huiyong.(2016).Discovering a critical transition state from nonalcoholic hepatosteatosis to nonalcoholic steatohepatitis by lipidomics and dynamical network biomarkers.Journal of molecular cell biology,8(3),195-206. |
MLA | Sa, Rina,et al."Discovering a critical transition state from nonalcoholic hepatosteatosis to nonalcoholic steatohepatitis by lipidomics and dynamical network biomarkers".Journal of molecular cell biology 8.3(2016):195-206. |
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