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T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus

BACKGROUND: T cells regulate the adaptive immune response and have altered function in autoimmunity. Systemic Lupus Erythematosus (SLE) has great diversity of presentation and treatment response. Peripheral blood component gene expression affords an efficient platform to investigate SLE immune dysfu...

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Autores principales: Bradley, Sean J., Suarez-Fueyo, Abel, Moss, David R., Kyttaris, Vasileios C., Tsokos, George C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636226/
https://www.ncbi.nlm.nih.gov/pubmed/26544975
http://dx.doi.org/10.1371/journal.pone.0141171
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author Bradley, Sean J.
Suarez-Fueyo, Abel
Moss, David R.
Kyttaris, Vasileios C.
Tsokos, George C.
author_facet Bradley, Sean J.
Suarez-Fueyo, Abel
Moss, David R.
Kyttaris, Vasileios C.
Tsokos, George C.
author_sort Bradley, Sean J.
collection PubMed
description BACKGROUND: T cells regulate the adaptive immune response and have altered function in autoimmunity. Systemic Lupus Erythematosus (SLE) has great diversity of presentation and treatment response. Peripheral blood component gene expression affords an efficient platform to investigate SLE immune dysfunction and help guide diagnostic biomarker development for patient stratification. METHODS: Gene expression in peripheral blood T cell samples for 14 SLE patients and 4 controls was analyzed by high depth sequencing. Unbiased clustering of genes and samples revealed novel patterns related to disease etiology. Functional annotation of these genes highlights pathways and protein domains involved in SLE manifestation. RESULTS: We found transcripts for hundreds of genes consistently altered in SLE T cell samples, for which DAVID analysis highlights induction of pathways related to mitochondria, nucleotide metabolism and DNA replication. Fewer genes had reduced mRNA expression, and these were linked to signaling, splicing and transcriptional activity. Gene signatures associated with the presence of dsDNA antibodies, low complement levels and nephritis were detected. T cell gene expression also indicates the presence of several patient subtypes, such as having only a minimal expression phenotype, male type, or severe with or without induction of genes related to membrane protein production. CONCLUSIONS: Unbiased transcriptome analysis of a peripheral blood component provides insight on autoimmune pathophysiology and patient variability. We present an open source workflow and richly annotated dataset to support investigation of T cell biology, develop biomarkers for patient stratification and perhaps help indicate a source of SLE immune dysfunction.
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spelling pubmed-46362262015-11-13 T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus Bradley, Sean J. Suarez-Fueyo, Abel Moss, David R. Kyttaris, Vasileios C. Tsokos, George C. PLoS One Research Article BACKGROUND: T cells regulate the adaptive immune response and have altered function in autoimmunity. Systemic Lupus Erythematosus (SLE) has great diversity of presentation and treatment response. Peripheral blood component gene expression affords an efficient platform to investigate SLE immune dysfunction and help guide diagnostic biomarker development for patient stratification. METHODS: Gene expression in peripheral blood T cell samples for 14 SLE patients and 4 controls was analyzed by high depth sequencing. Unbiased clustering of genes and samples revealed novel patterns related to disease etiology. Functional annotation of these genes highlights pathways and protein domains involved in SLE manifestation. RESULTS: We found transcripts for hundreds of genes consistently altered in SLE T cell samples, for which DAVID analysis highlights induction of pathways related to mitochondria, nucleotide metabolism and DNA replication. Fewer genes had reduced mRNA expression, and these were linked to signaling, splicing and transcriptional activity. Gene signatures associated with the presence of dsDNA antibodies, low complement levels and nephritis were detected. T cell gene expression also indicates the presence of several patient subtypes, such as having only a minimal expression phenotype, male type, or severe with or without induction of genes related to membrane protein production. CONCLUSIONS: Unbiased transcriptome analysis of a peripheral blood component provides insight on autoimmune pathophysiology and patient variability. We present an open source workflow and richly annotated dataset to support investigation of T cell biology, develop biomarkers for patient stratification and perhaps help indicate a source of SLE immune dysfunction. Public Library of Science 2015-11-06 /pmc/articles/PMC4636226/ /pubmed/26544975 http://dx.doi.org/10.1371/journal.pone.0141171 Text en © 2015 Bradley et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bradley, Sean J.
Suarez-Fueyo, Abel
Moss, David R.
Kyttaris, Vasileios C.
Tsokos, George C.
T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title_full T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title_fullStr T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title_full_unstemmed T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title_short T Cell Transcriptomes Describe Patient Subtypes in Systemic Lupus Erythematosus
title_sort t cell transcriptomes describe patient subtypes in systemic lupus erythematosus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636226/
https://www.ncbi.nlm.nih.gov/pubmed/26544975
http://dx.doi.org/10.1371/journal.pone.0141171
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