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Identification of secreted proteins associated with obesity and type 2 diabetes in Psammomys obesus

journal contribution
posted on 2009-07-28, 00:00 authored by Kristy BoltonKristy Bolton, D Segal, J McMillan, A Sanigorski, Gregory Collier, Ken WalderKen Walder
Objective: Skeletal muscle produces a variety of secreted proteins that have important roles in intercellular communication and affects processes such as glucose homoeostasis. The objective of this study was to develop a novel Signal Sequence Trap (SST) in conjunction with cDNA microarray technology to identify proteins secreted from skeletal muscle of Psammomys obesus that were associated with obesity and type 2 diabetes (T2D).

Design: Secreted proteins that were differentially expressed between lean, normal glucose tolerant (NGT), overweight and impaired glucose tolerant (IGT) and obese, T2D P. obesus were isolated using SST in conjunction with cDNA microarray technology. Subsequent gene expression was measured in tissues from P. obesus by real-time PCR (RT-PCR).

Results: The SST yielded 1600 positive clones, which were screened for differential expression. A total of 91 (B6%) clones were identified by microarray to be differentially expressed between NGT, IGT and T2D P. obesus. These clones were sequenced to identify 51 genes, of which only 27 were previously known to encode secreted proteins. Three candidate genes not previously associated with obesity or type 2 diabetes, sushi domain containing 2, collagen and calcium-binding EGF domains 1 and periostin (Postn), as well as one gene known to be associated, complement component 1, were shown by RT-PCR to be differentially expressed in  skeletal muscle of P. obesus. Further characterization of the secreted protein Postn revealed it to be predominantly expressed in adipose tissue, with higher expression in visceral compared with subcutaneous adipose depots.

Conclusion: SST in conjunction with cDNA microarray technology is a powerful tool to identify differentially expressed secreted proteins involved in complex diseases such as obesity and type 2 diabetes. Furthermore, a number of candidate genes were identified, in particular, Postn, which may have a role in the development of obesity and type 2 diabetes.

History

Journal

International journal of obesity

Volume

33

Pagination

1 - 13

Publisher

Nature Publishing Group

Location

Hampshire, England

ISSN

0307-0565

eISSN

1476-5497

Language

eng

Notes

International Journal of Obesity advance online publication, 28 July 2009; doi:10.1038/ijo.2009.148

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2009, Macmillan Publishers Limited