title: Shared and unique gene expression in systemic lupus erythematosus depending on disease activity.
abstract: Patients presenting with active systemic lupus erythematosus (SLE) manifestations may exhibit distinct pathogenetic features in relation to inactive SLE. Also, cDNA microarrays may potentially discriminate the gene expression profile of a disease or disease variant. Therefore, we evaluated the expression profile of 4500 genes in peripheral blood lymphocytes (PBL) of SLE patients. We studied 11 patients with SLE (seven with active SLE and four with inactive SLE) and eight healthy controls. Total RNA was isolated from PBL, reverse transcribed into cDNA, and postlabeled with Cy3 fluorochrome. These probes were then hybridized to a glass slide cDNA microarray containing 4500 human IMAGE cDNA target sequences. An equimolar amount of total RNA from human cell lines served as reference. The microarray images were quantified, normalized, and analyzed using the R environment (ANOVA, significant analysis of microarrays, and cluster-tree view algorithms). Disease activity was assessed by the SLE disease activity index. Compared to the healthy controls, 104 genes in active SLE patients (80 repressed and 24 induced) and 52 genes in nonactive SLE patients (31 induced and 21 repressed) were differentially expressed. The modulation of 12 genes, either induced or repressed, was found in both disease variants; however, each disease variant had differential expression of different genes. Taken together, these results indicate that the two lupus variants studied have common and unique differentially expressed genes. Although the biological significance of the differentially expressed genes discussed above has not been completely understood, they may serve as a platform to further explore the molecular basis of immune deregulation in SLE.
authors.affiliation: Molecular Immunogenetics Group (Department of Genetics), Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
authors.forename: Paula
authors.initials: P
authors.lastname: Sandrin-Garcia
authors.forename: Cristina Moraes
authors.initials: CM
authors.lastname: Junta
authors.forename: Ana L
authors.initials: AL
authors.lastname: Fachin
authors.forename: Stephano S
authors.initials: SS
authors.lastname: Mello
authors.forename: Ana Maria T
authors.initials: AM
authors.lastname: Baião
authors.forename: Diane M
authors.initials: DM
authors.lastname: Rassi
authors.forename: Márcia C T
authors.initials: MC
authors.lastname: Ferreira
authors.forename: Glauce L
authors.initials: GL
authors.lastname: Trevisan
authors.forename: Elza T
authors.initials: ET
authors.lastname: Sakamoto-Hojo
authors.forename: Paulo
authors.initials: P
authors.lastname: Louzada-Júnior
authors.forename: Geraldo A S
authors.initials: GA
authors.lastname: Passos
authors.forename: Eduardo A
authors.initials: EA
authors.lastname: Donadi
mesh_terms: D000328:Adult; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008180:Lupus Erythematosus, Systemic / Q000097:blood / Q000235:genetics* / Q000473:pathology; D008214:Lymphocytes / Q000166:cytology / Q000378:metabolism*; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D055815:Young Adult