Widely divergent transcriptional patterns between SLE patients of different ancestral backgrounds in sorted immune cell populations

Shruti Sharma, Zhongbo Jin, Elizabeth Rosenzweig, Swapna Rao, Kichul Ko, Timothy B. Niewold

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Systemic lupus erythematosus (SLE) is a complex autoimmune disease of uncertain etiology. Patients from different ancestral backgrounds demonstrate differences in clinical manifestations and autoantibody profiles. We examined genome-wide transcriptional patterns in major immune cell subsets across different ancestral backgrounds. Peripheral blood was collected from African-American (AA) and European-American (EA) SLE patients and controls. CD4 T-cells, CD8 T-cells, monocytes, and B cells were purified by flow sorting, and each cell subset from each subject was run on a genome-wide expression array. Cases were compared to controls of the same ancestral background. The overlap in differentially expressed gene (DEG) lists between different cell types from the same ancestral background was modest (<10%), and only 5-8% overlap in DEG lists was observed when comparing the same cell type between different ancestral backgrounds. IFN-stimulated gene (ISG) expression was not up-regulated synchronously in all cell types from a given patient, for example a given subject could have high ISG expression in T and B cells, but not in monocytes. AA subjects demonstrated more concordance in ISG expression between cell types from the same individual, and AA patients demonstrated significant down-regulation of metabolic gene expression which was not observed in EA patients. ISG expression was significantly decreased in B cells in patients taking immunosuppressants, while ISGs in other cell types did not differ with medication use. In conclusion, gene expression was strikingly different between immune cell subsets and between ancestral backgrounds in SLE patients. These findings emphasize the critical importance of studying multiple ancestral backgrounds and multiple cell types in gene expression studies. Ancestral backgrounds which are not studied will not benefit from personalized medicine strategies in SLE.

Original languageEnglish (US)
Pages (from-to)51-58
Number of pages8
JournalJournal of Autoimmunity
Volume60
DOIs
StatePublished - Jun 1 2015

Fingerprint

Systemic Lupus Erythematosus
Population
Gene Expression
African Americans
B-Lymphocytes
T-Lymphocytes
Monocytes
Genome
Precision Medicine
Gene Expression Regulation
Immunosuppressive Agents
Autoantibodies
Genes
Autoimmune Diseases
Down-Regulation

Keywords

  • Ancestral background
  • Gene expression
  • Interferon
  • Systemic lupus erythematosus

ASJC Scopus subject areas

  • Immunology
  • Immunology and Allergy

Cite this

Widely divergent transcriptional patterns between SLE patients of different ancestral backgrounds in sorted immune cell populations. / Sharma, Shruti; Jin, Zhongbo; Rosenzweig, Elizabeth; Rao, Swapna; Ko, Kichul; Niewold, Timothy B.

In: Journal of Autoimmunity, Vol. 60, 01.06.2015, p. 51-58.

Research output: Contribution to journalArticle

Sharma, Shruti ; Jin, Zhongbo ; Rosenzweig, Elizabeth ; Rao, Swapna ; Ko, Kichul ; Niewold, Timothy B. / Widely divergent transcriptional patterns between SLE patients of different ancestral backgrounds in sorted immune cell populations. In: Journal of Autoimmunity. 2015 ; Vol. 60. pp. 51-58.
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