Coordinated and Interactive Expression of Genes of Lipid Metabolism and Inflammation in Adipose Tissue and Liver during Metabolic Overload

被引:19
作者
Liang, Wen [1 ]
Tonini, Giulia [2 ,4 ]
Mulder, Petra [1 ]
Kelder, Thomas [3 ]
van Erk, Marjan [3 ]
van den Hoek, Anita M. [1 ]
Mariman, Rob [1 ]
Wielinga, Peter Y. [1 ]
Baccini, Michela [2 ,4 ]
Kooistra, Teake [1 ,2 ]
Biggeri, Annibale [4 ]
Kleemann, Robert [1 ]
机构
[1] TNO, Dept Metab Hlth Res, Leiden, Netherlands
[2] Canc Prevent & Res Inst, Biostat Unit, Florence, Italy
[3] TNO, Dept Microbiol & Syst Biol, NL-3700 AJ Zeist, Netherlands
[4] Univ Florence, Dept Stat Informat & Applicat G Parenti, Florence, Italy
来源
PLOS ONE | 2013年 / 8卷 / 09期
关键词
NONALCOHOLIC STEATOHEPATITIS; FAT; INSULIN; OBESITY; SP1; DIET; PPAR; CERAMIDE; BIOLOGY; DISEASE;
D O I
10.1371/journal.pone.0075290
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Chronic metabolic overload results in lipid accumulation and subsequent inflammation in white adipose tissue (WAT), often accompanied by non-alcoholic fatty liver disease (NAFLD). In response to metabolic overload, the expression of genes involved in lipid metabolism and inflammatory processes is adapted. However, it still remains unknown how these adaptations in gene expression in expanding WAT and liver are orchestrated and whether they are interrelated. Methodology/Principal Findings: ApoE*3Leiden mice were fed HFD or chow for different periods up to 12 weeks. Gene expression in WAT and liver over time was evaluated by micro-array analysis. WAT hypertrophy and inflammation were analyzed histologically. Bayesian hierarchical cluster analysis of dynamic WAT gene expression identified groups of genes ('clusters') with comparable expression patterns over time. HFD evoked an immediate response of five clusters of 'lipid metabolism' genes in WAT, which did not further change thereafter. At a later time point (>6 weeks), inflammatory clusters were induced. Promoter analysis of clustered genes resulted in specific key regulators which may orchestrate the metabolic and inflammatory responses in WAT. Some master regulators played a dual role in control of metabolism and inflammation. When WAT inflammation developed (>6 weeks), genes of lipid metabolism and inflammation were also affected in corresponding livers. These hepatic gene expression changes and the underlying transcriptional responses in particular, were remarkably similar to those detected in WAT. Conclusion: In WAT, metabolic overload induced an immediate, stable response on clusters of lipid metabolism genes and induced inflammatory genes later in time. Both processes may be controlled and interlinked by specific transcriptional regulators. When WAT inflammation began, the hepatic response to HFD resembled that in WAT. In all, WAT and liver respond to metabolic overload by adaptations in expression of gene clusters that control lipid metabolism and inflammatory processes in an orchestrated and interrelated manner.
引用
收藏
页数:13
相关论文
共 54 条
  • [1] Genetic disorders of adipose tissue development, differentiation, and death
    Agarwal, Anil K.
    Garg, Abhimanyu
    [J]. ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2006, 7 : 175 - 199
  • [2] Fat poetry:: a kingdom for PPARγ
    Anghel, Silvia I.
    Wahli, Walter
    [J]. CELL RESEARCH, 2007, 17 (06) : 486 - 511
  • [3] The NuGO proof of principle study package: a collaborative research effort of the European Nutrigenomics Organisation
    Baccini, Michela
    Bachmaier, Eva-Maria
    Biggeri, Annibale
    Boekschoten, Mark V.
    Bouwman, Freek G.
    Brennan, Lorraine
    Caesar, Robert
    Cinti, Saverio
    Coort, Susan L.
    Crosley, Katie
    Daniel, Hannelore
    Drevon, Christian A.
    Duthie, Susan
    Eijssen, Lars
    Elliott, Ruan M.
    van Erk, Marjan
    Evelo, Chris
    Gibney, Mike
    Heim, Carolin
    Horgan, Graham W.
    Johnson, Ian T.
    Kelder, Thomas
    Kleemann, Robert
    Kooistra, Teake
    van Iersel, Martijn P.
    Mariman, Edwin C.
    Mayer, Claus
    McLoughlin, Gerard
    Mueller, Michael
    Mulholland, Francis
    van Ommen, Ben
    Polley, Abigael C.
    Pujos-Guillot, Estelle
    Rubio-Aliaga, Isabel
    Roche, Helen M.
    de Roos, Baukje
    Sailer, Manuela
    Tonini, Giulia
    Williams, Lynda M.
    de Wit, Nicole
    [J]. GENES AND NUTRITION, 2008, 3 (3-4) : 147 - 151
  • [4] Role of Sphingolipid Mediator Ceramide in Obesity and Renal Injury in Mice Fed a High-Fat Diet
    Boini, Krishna M.
    Zhang, Chun
    Xia, Min
    Poklis, Justin L.
    Li, Pin-Lan
    [J]. JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS, 2010, 334 (03) : 839 - 846
  • [5] A tale of two proteins:: Differential roles and regulation of Smad2 and Smad3 in TGF-β signaling
    Brown, Kimberly A.
    Pietenpol, Jennifer A.
    Moses, Harold L.
    [J]. JOURNAL OF CELLULAR BIOCHEMISTRY, 2007, 101 (01) : 9 - 33
  • [6] A Combined Transcriptomics and Lipidomics Analysis of Subcutaneous, Epididymal and Mesenteric Adipose Tissue Reveals Marked Functional Differences
    Caesar, Robert
    Manieri, Monia
    Kelder, Thomas
    Boekschoten, Mark
    Evelo, Chris
    Mueller, Michael
    Kooistra, Teake
    Cinti, Saverio
    Kleemann, Robert
    Drevon, Christian A.
    [J]. PLOS ONE, 2010, 5 (07):
  • [7] A hierarchical Bayesian approach to multiple testing in disease mapping
    Catelan, Dolores
    Lagazio, Corrado
    Biggeri, Annibale
    [J]. BIOMETRICAL JOURNAL, 2010, 52 (06) : 784 - 797
  • [8] Obesity: a disease or a biological adaptation? An update
    Chaput, J. -P.
    Doucet, E.
    Tremblay, A.
    [J]. OBESITY REVIEWS, 2012, 13 (08) : 681 - 691
  • [9] Human Fatty Liver Disease: Old Questions and New Insights
    Cohen, Jonathan C.
    Horton, Jay D.
    Hobbs, Helen H.
    [J]. SCIENCE, 2011, 332 (6037) : 1519 - 1523
  • [10] Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
    Cooke, Emma J.
    Savage, Richard S.
    Kirk, Paul D. W.
    Darkins, Robert
    Wild, David L.
    [J]. BMC BIOINFORMATICS, 2011, 12