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Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity
OBJECTIVES: Systemic lupus erythematosus (SLE) diagnosis and treatment remain empirical and the molecular basis for its heterogeneity elusive. We explored the genomic basis for disease susceptibility and severity. METHODS: mRNA sequencing and genotyping in blood from 142 patients with SLE and 58 hea...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691930/ https://www.ncbi.nlm.nih.gov/pubmed/31167757 http://dx.doi.org/10.1136/annrheumdis-2018-214379 |
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author | Panousis, Nikolaos I Bertsias, George K Ongen, Halit Gergianaki, Irini Tektonidou, Maria G Trachana, Maria Romano-Palumbo, Luciana Bielser, Deborah Howald, Cedric Pamfil, Cristina Fanouriakis, Antonis Kosmara, Despoina Repa, Argyro Sidiropoulos, Prodromos Dermitzakis, Emmanouil T Boumpas, Dimitrios T |
author_facet | Panousis, Nikolaos I Bertsias, George K Ongen, Halit Gergianaki, Irini Tektonidou, Maria G Trachana, Maria Romano-Palumbo, Luciana Bielser, Deborah Howald, Cedric Pamfil, Cristina Fanouriakis, Antonis Kosmara, Despoina Repa, Argyro Sidiropoulos, Prodromos Dermitzakis, Emmanouil T Boumpas, Dimitrios T |
author_sort | Panousis, Nikolaos I |
collection | PubMed |
description | OBJECTIVES: Systemic lupus erythematosus (SLE) diagnosis and treatment remain empirical and the molecular basis for its heterogeneity elusive. We explored the genomic basis for disease susceptibility and severity. METHODS: mRNA sequencing and genotyping in blood from 142 patients with SLE and 58 healthy volunteers. Abundances of cell types were assessed by CIBERSORT and cell-specific effects by interaction terms in linear models. Differentially expressed genes (DEGs) were used to train classifiers (linear discriminant analysis) of SLE versus healthy individuals in 80% of the dataset and were validated in the remaining 20% running 1000 iterations. Transcriptome/genotypes were integrated by expression-quantitative trail loci (eQTL) analysis; tissue-specific genetic causality was assessed by regulatory trait concordance (RTC). RESULTS: SLE has a ‘susceptibility signature’ present in patients in clinical remission, an ‘activity signature’ linked to genes that regulate immune cell metabolism, protein synthesis and proliferation, and a ‘severity signature’ best illustrated in active nephritis, enriched in druggable granulocyte and plasmablast/plasma–cell pathways. Patients with SLE have also perturbed mRNA splicing enriched in immune system and interferon signalling genes. A novel transcriptome index distinguished active versus inactive disease—but not low disease activity—and correlated with disease severity. DEGs discriminate SLE versus healthy individuals with median sensitivity 86% and specificity 92% suggesting a potential use in diagnostics. Combined eQTL analysis from the Genotype Tissue Expression (GTEx) project and SLE-associated genetic polymorphisms demonstrates that susceptibility variants may regulate gene expression in the blood but also in other tissues. CONCLUSION: Specific gene networks confer susceptibility to SLE, activity and severity, and may facilitate personalised care. |
format | Online Article Text |
id | pubmed-6691930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-66919302019-08-26 Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity Panousis, Nikolaos I Bertsias, George K Ongen, Halit Gergianaki, Irini Tektonidou, Maria G Trachana, Maria Romano-Palumbo, Luciana Bielser, Deborah Howald, Cedric Pamfil, Cristina Fanouriakis, Antonis Kosmara, Despoina Repa, Argyro Sidiropoulos, Prodromos Dermitzakis, Emmanouil T Boumpas, Dimitrios T Ann Rheum Dis Systemic Lupus Erythematosus OBJECTIVES: Systemic lupus erythematosus (SLE) diagnosis and treatment remain empirical and the molecular basis for its heterogeneity elusive. We explored the genomic basis for disease susceptibility and severity. METHODS: mRNA sequencing and genotyping in blood from 142 patients with SLE and 58 healthy volunteers. Abundances of cell types were assessed by CIBERSORT and cell-specific effects by interaction terms in linear models. Differentially expressed genes (DEGs) were used to train classifiers (linear discriminant analysis) of SLE versus healthy individuals in 80% of the dataset and were validated in the remaining 20% running 1000 iterations. Transcriptome/genotypes were integrated by expression-quantitative trail loci (eQTL) analysis; tissue-specific genetic causality was assessed by regulatory trait concordance (RTC). RESULTS: SLE has a ‘susceptibility signature’ present in patients in clinical remission, an ‘activity signature’ linked to genes that regulate immune cell metabolism, protein synthesis and proliferation, and a ‘severity signature’ best illustrated in active nephritis, enriched in druggable granulocyte and plasmablast/plasma–cell pathways. Patients with SLE have also perturbed mRNA splicing enriched in immune system and interferon signalling genes. A novel transcriptome index distinguished active versus inactive disease—but not low disease activity—and correlated with disease severity. DEGs discriminate SLE versus healthy individuals with median sensitivity 86% and specificity 92% suggesting a potential use in diagnostics. Combined eQTL analysis from the Genotype Tissue Expression (GTEx) project and SLE-associated genetic polymorphisms demonstrates that susceptibility variants may regulate gene expression in the blood but also in other tissues. CONCLUSION: Specific gene networks confer susceptibility to SLE, activity and severity, and may facilitate personalised care. BMJ Publishing Group 2019-08 2019-06-05 /pmc/articles/PMC6691930/ /pubmed/31167757 http://dx.doi.org/10.1136/annrheumdis-2018-214379 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Systemic Lupus Erythematosus Panousis, Nikolaos I Bertsias, George K Ongen, Halit Gergianaki, Irini Tektonidou, Maria G Trachana, Maria Romano-Palumbo, Luciana Bielser, Deborah Howald, Cedric Pamfil, Cristina Fanouriakis, Antonis Kosmara, Despoina Repa, Argyro Sidiropoulos, Prodromos Dermitzakis, Emmanouil T Boumpas, Dimitrios T Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title | Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title_full | Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title_fullStr | Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title_full_unstemmed | Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title_short | Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity |
title_sort | combined genetic and transcriptome analysis of patients with sle: distinct, targetable signatures for susceptibility and severity |
topic | Systemic Lupus Erythematosus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691930/ https://www.ncbi.nlm.nih.gov/pubmed/31167757 http://dx.doi.org/10.1136/annrheumdis-2018-214379 |
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