Atherosclerosis and Lipoproteins |
From the Department of Medicine (F.M., R.E.P., V.J.D., C.-C.L.), Brigham and Womens Hospital and Harvard Medical School, Boston, Mass; the Department of Medicine (T.W.A.d.B., C.J.H.v.d.K.), Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands; and the Medical Genetics Institute (J.I.R., G.A.H.) and the Department of Medicine and Obstetrics/Gynecology (Y.-D.I.C.), Cedars-Sinai Research Institute, Los Angeles, Calif.
Correspondence to Choong-Chin Liew, HMS New Research Building, 77 Avenue Louis Pasteur Avenue, Boston, MA 02115. E-mail cliew{at}rics.bwh.harvard.edu
Objectives The genetic background of familial combined hyperlipidemia (FCHL) is currently unclear. We propose transcriptional profiling as a complementary tool for its understanding. Two hypotheses were tested: the existence of a disease-specific modification of gene expression in FCHL and the detectability of such a transcriptional profile in blood derived cell lines.
Methods and Results We established lymphoblastic cell lines from FCHL patients and controls. The cells were cultured in fixed conditions and their basal expression profile was compared using microarrays; 166 genes were differentially expressed in FCHL-derived cell lines compared with controls, with enrichment in metabolism-related genes. Of note was the upregulation of EGR-1, previously found to be upregulated in the adipose tissue of FCHL patients, the upregulation of DCHR-7, the downregulation of LYPLA2, and the differential expression of several genes previously unrelated to FCHL. A cluster of potential EGR-1regulated transcripts was also differentially expressed in FCHL cells.
Conclusion Our data indicate that in FCHL, a disease-specific transcription profile is detectable in immortalized cell lines easily obtained from peripheral blood and provide complementary information to classical genetic approaches to FCHL and/or the metabolic syndrome.
We studied the transcriptional profile of FCHL-derived lymphoblast cell lines using microarrays. Of note was the differential expression of EGR-1, several lipid metabolism-related genes, and many novel genes.
Key Words: dyslipidemia blood cells microarray genomics genetics
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