Separation of human adipocytes by size: hypertrophic fat cells display distinct gene expression
Artikel i vetenskaplig tidskrift, 2006

Enlarged adipocytes are associated with insulin resistance and are an independent predictor of type 2 diabetes. To understand the molecular link between these diseases and adipocyte hypertrophy, we developed a technique to separate human adipocytes from an adipose tissue sample into populations of small cells (mean 57.6+-3.54 um) and large cells (mean 100.1+-3.94 um). Microarray analysis of the cell populations separated from adipose tissue from three subjects identified 14 genes, of which five immune-related, with more than fourfold higher expression in large cells than small cells. Two of these genes were serum amyloid A (SAA) and transmembrane 4 L six family member 1 (TM4SF1). Real-time RT-PCR analysis of SAA and TM4SF1 expression in adipocytes from seven subjects revealed 19-fold and 22-fold higher expression in the large cells, respectively, and a correlation between adipocyte size and both SAA and TM4SF1 expression. The results were verified using immunohistochemistry. In comparison with 17 other human tissues and cell types by microarray, large adipocytes displayed by far the highest SAA and TM4SF1 expression. Thus, we have identified genes with markedly higher expression in large, compared with small, human adipocytes. These genes may link hypertrophic obesity to insulin resistance/type 2 diabetes.

serum amyloid a

transmembrane 4 L six family member 1

insulin resistance

leptin

cell size

Författare

Margareta Jernås

Göteborgs universitet

Jenny Palming

Göteborgs universitet

Kajsa Sjöholm

Göteborgs universitet

Eva Jennische

Göteborgs universitet

Per-Arne Svensson

Göteborgs universitet

Britt Gabrielsson

Research Centre for Endocrinology and Metabolism

Max Levin

Göteborgs universitet

Anders Sjögren

Chalmers, Matematiska vetenskaper, matematisk statistik

Göteborgs universitet

Mats Rudemo

Göteborgs universitet

Chalmers, Matematiska vetenskaper, matematisk statistik

Ted Lystig

Göteborgs universitet

Björn Carlsson

Göteborgs universitet

Lena M S Carlsson

Göteborgs universitet

Malin Lönn

Göteborgs universitet

FASEB Journal

0892-6638 (ISSN) 1530-6860 (eISSN)

Vol. 20 9 E832-E839

Ämneskategorier

Endokrinologi och diabetes

Sannolikhetsteori och statistik

DOI

10.1096/fj.05-5678fje

Mer information

Skapat

2017-10-06