CORC  > 中国科学院大学
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
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
DOI10.1093/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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace