Horm Metab Res 2008; 40(3): 228-230
DOI: 10.1055/s-2008-1046797
Short Communication

© Georg Thieme Verlag KG Stuttgart · New York

A Specialized cDNA Microarray (Mouse Lipid Chip) Reveals Hepatic Overexpression of Serum Amyloid A in High-fat Diet-fed Mice

N. Dejeans 1 , S. Auclair 1 , J. Henry-Berger 2 , J-M. A. Lobaccaro 2 , A. Mazur 1
  • 1INRA, Unité de Nutrition Humaine, UMR 1019, Clermont-Fd/Theix, et CRNH d’Auvergne, St Genès Champanelle, France
  • 2UMR 6547 CNRS-Université Blaise Pascal, Physiologie Comparée et Endocrinologie Moléculaire, et Centre de Recherche en Nutrition Humaine, 24 avenue des Landais, Aubière, France
Further Information

Publication History

received 02.05.2007

accepted 23.10.2007

Publication Date:
17 March 2008 (online)

Introduction

Mouse models have been widely used to explore the relationship between fat-enriched diets and the pathogenesis of atherosclerosis [1]. These strategies succeed in identifying the involvement of many specific genes in the mechanisms leading to this pathology. However, establishing links between these specific genes is difficult, and high-fat diet induced metabolic disturbance remains a complex process that is only partly understood.

Recently, the emergence of microarray technologies has made it possible to study the development of multifactorial pathologies, such as cardiovascular diseases, in a more global approach. High-density microarrays, which permit to monitor thousands of genes simultaneously, have been used to identify new signaling pathways and genomic signatures of hepatic cells in different high-fat fed mouse models [2] [3]. In addition to the general variation of genes implicated in lipid metabolism, the authors showed a broad hepatic response of multiple genes to the fat diet challenge, related to inflammatory, detoxification, and defense responses. These data support the important role of the liver in the close link between high lipid consumption and inflammatory processes. A second type of microarrays, the “custom microarrays”, permits to perform focused array experiments on a smaller scale by limiting the number of genes being interrogated [4]. In contrast to the discovery based approach of large scale genomic profiling, which involve an intensive data mining and analysis, custom arrays can be used to conduct hypothesis driven investigations [4]. To identify gene-regulatory patterns of liver lipid metabolism, we developed a specialized cDNA microarray (“Mouse Lipid Chip”) consisting of 106 specific mouse cDNAs. The cDNAs were selected to represent genes involved in lipid metabolism regulation. Using the Mouse Lipid Chip, we aimed at identifying which genes involved in the liver lipid metabolism were differentially expressed in mice fed with a high-fat diet (HFD) compared to a control diet.

References

  • 1 Allayee H, Andalibi A, Mehrabian M. Front Biosci. 2006;  11 1216-1226
  • 2 Kim S, Sohn I, Ahn JI, Lee KH, Lee YS. Gene. 2004;  340 99-109
  • 3 Kreeft AJ, Moen CJ, Porter G, Kasanmoentalib S, Sverdlov R, Gorp PJ van, Havekes LM, Frants RR, Hofker MH. Atherosclerosis. 2005;  182 249-257
  • 4 Wurmbach E, Yuen T, Sealfon SC. Methods. 2003;  31 306-316
  • 5 Bergmeyer HU, Moellering H. Clin Chim Acta. 1966;  14 74-82
  • 6 Mazur A, Remesy C, Demigne C. Eur J Clin Invest. 1990;  20 600-606
  • 7 Homan R, Anderson MK. J Chromatogr B Biomed Sci Appl. 1998;  708 21-26
  • 8 Smyth GK, Speed T. Methods. 2003;  31 265-273
  • 9 Surwit RS, Petro AE, Parekh P, Collins S. Diabetes. 1997;  46 1516-1520
  • 10 Lindhorst E, Young D, Bagshaw W, Hyland M, Kisilevsky R. Biochim Biophys Acta. 1997;  1339 143-154
  • 11 Thorn CF, Lu ZY, Whitehead AS. Scand J Immunol. 2004;  59 152-158
  • 12 Liao F, Lusis AJ, Berliner JA, Fogelman AM, Kindy M, Beer MC de, Beer FC de. Arterioscler Thromb. 1994;  14 1475-1479
  • 13 Liao F, Andalibi A, Beer FC de, Fogelman AM, Lusis AJ. J Clin Invest. 1993;  91 2572-2579
  • 14 Lewis KE, Kirk EA, MacDonald TO, Wang S, Wight TN, O’Brien KD, Chait A. Circulation. 2004;  110 540-545
  • 15 Westhuyzen DR van der, Cai L, Beer MC de, Beer FC de. J Biol Chem. 2005;  280 35890-35895
  • 16 Burdge GC, Calder PC. Br J Nutr. 2005;  93 3-9
  • 17 Man WC, Miyazaki M, Chu K, Ntambi J. J Lipid Res. 2006;  47 1928-1939

Correspondence

A. Mazur

Equipe stress métabolique et micronutriments

Unité de Nutrition Humaine

UMR 1019

INRA de Clermont-Fd/Theix

63122 St Genès Champanelle

France

Phone: +33/4/73 62 42 34

Fax: +33/4/73 62 46 38

Email: mazur@clermont.inra.fr

    >