Gene expression analysis delineates the potential roles of multiple interferons in systemic lupus erythematosus

A role for interferon (IFN) in systemic lupus erythematosus (SLE) pathogenesis is inferred from the prominent IFN gene signature (IGS), but the major IFN species and its relationship to disease activity are unknown. A bioinformatic approach employing individual IFN species gene signatures to interro...

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Veröffentlicht in:Communications biology 2019-04, Vol.2 (1), p.140, Article 140
Hauptverfasser: Catalina, Michelle D., Bachali, Prathyusha, Geraci, Nicholas S., Grammer, Amrie C., Lipsky, Peter E.
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Bachali, Prathyusha
Geraci, Nicholas S.
Grammer, Amrie C.
Lipsky, Peter E.
description A role for interferon (IFN) in systemic lupus erythematosus (SLE) pathogenesis is inferred from the prominent IFN gene signature (IGS), but the major IFN species and its relationship to disease activity are unknown. A bioinformatic approach employing individual IFN species gene signatures to interrogate SLE microarray datasets demonstrates a putative role for numerous IFN species, with prominent expression of IFNB1 and IFNW signatures. In contrast with other SLE-affected organs, the IGS is less prominent in lupus nephritis. SLE patients with active and inactive disease have readily detectable IGS and the IGS changes synchronously with a monocyte signature but not disease activity, and is significantly related to monocyte transcripts. Monocyte over-expression of three times as many IGS transcripts as T and B cells and IGS retention in monocytes, but not T and B cells from inactive SLE patients contribute to the lack of correlation between the IGS and SLE disease activity. Michelle Catalina et al. use a bioinformatic approach to identify interferon genes with potential roles in systemic lupus erythematosus (SLE). They predict an important role for IFNB1 in SLE pathogenesis in skin and synovium, but not SLE renal disease.
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A bioinformatic approach employing individual IFN species gene signatures to interrogate SLE microarray datasets demonstrates a putative role for numerous IFN species, with prominent expression of IFNB1 and IFNW signatures. In contrast with other SLE-affected organs, the IGS is less prominent in lupus nephritis. SLE patients with active and inactive disease have readily detectable IGS and the IGS changes synchronously with a monocyte signature but not disease activity, and is significantly related to monocyte transcripts. Monocyte over-expression of three times as many IGS transcripts as T and B cells and IGS retention in monocytes, but not T and B cells from inactive SLE patients contribute to the lack of correlation between the IGS and SLE disease activity. Michelle Catalina et al. use a bioinformatic approach to identify interferon genes with potential roles in systemic lupus erythematosus (SLE). 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subjects 38/39
38/61
631/114/2407
631/250/127/1212
631/337/2019
692/699/1670/1613
Biology
Biomedical and Life Sciences
Datasets as Topic
DNA microarrays
Gene expression
Humans
Immunosuppressive Agents - pharmacology
Immunosuppressive Agents - therapeutic use
Interferon
Interferons - genetics
Kidney - metabolism
Life Sciences
Lupus
Lupus Erythematosus, Systemic - drug therapy
Lupus Erythematosus, Systemic - genetics
Lupus Erythematosus, Systemic - metabolism
Lupus nephritis
Lupus Nephritis - genetics
Lupus Nephritis - metabolism
Lymphocytes B
Monocytes
Monocytes - metabolism
Nephritis
Organ Specificity
Overexpression
Pathogenesis
Skin - metabolism
Species
Synovial Membrane - metabolism
Synovium
Systemic lupus erythematosus
Tissue Array Analysis
Transcriptome - drug effects
title Gene expression analysis delineates the potential roles of multiple interferons in systemic lupus erythematosus
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