2013
DOI: 10.1111/eci.12130
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Gene expression and regulation in systemic lupus erythematosus

Abstract: Background Systemic lupus erythematosus (SLE) is the prototypic systemic autoimmune disease. Genomewide (GW) association studies have identified more than 40 disease-associated loci, together accounting for only 10-20% of disease heritability. Gene expression represents the intermediate phenotype between DNA and disease phenotypic variation, and provides insights regarding genetic and epigenetic effects. We review data on gene expression and regulation in SLE by our group and other investigators.

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Cited by 56 publications
(51 citation statements)
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“…[38] It is reported that tissue inflammation and chronic infection lead to the overproduction of NO and superoxide anions (O 2 .-), which rapidly combine to yield ONOO -. The studies suggest that most of the cytotoxicity attributed to NO is due to ONOO -in SLE.…”
Section: Discussionmentioning
confidence: 99%
“…[38] It is reported that tissue inflammation and chronic infection lead to the overproduction of NO and superoxide anions (O 2 .-), which rapidly combine to yield ONOO -. The studies suggest that most of the cytotoxicity attributed to NO is due to ONOO -in SLE.…”
Section: Discussionmentioning
confidence: 99%
“…However, these genes and loci only account for 10 to 20% of disease heritability. This indicates that there are many factors still to be identified [45]. REPA inferred 37 TFs associated with the KEGG systemic lupus erythematosus pathway which consists of 138 genes.…”
Section: Number Of Repa's Predictions Per Gene Setmentioning
confidence: 99%
“…Out of those 37 TFs predicted to regulate genes in the SLE pathway, we found literature support for 13 (or 35%). The TFs associated by REPA with SLE are the following (supporting literature is referred to after the corresponding TF): ATF2, ATF3 [46], BCLAF1, CBX3, CEBPB, CEBPD, ETS1 [47], FOS [45], FOXM1, GR [48], HEY1, INI1, JUND [49], MBD4 [50], MTA3, MYBL2, NFATC1 [49], NFIC, P300 [51], PAX5 [52], PML, POL2, POU2F2, RUNX3 [53], RXRA, SIN3AK20, SP1 [54], SP4, STAT5A, TAF1, TAF7, TBP [55], TCF12, TCF3, TEAD4, YY1 [56], and ZBTB33.…”
Section: Number Of Repa's Predictions Per Gene Setmentioning
confidence: 99%
“…Нарушение сигнального пути IFN I типа, как в крови, так и в пораженных органах, также наблюдали при других ревматических заболеваниях, таких как СКВ, где IFNa играет главную роль в аутоиммунитете и патогенезе заболевания [40]. Например, терапия ронтализумабом (антитела к IFNa) приводила к значительному снижению активности заболевания и манифестации обострений у больных СКВ с низкой экспрессией INF-зависимых генов по сравнению с больными, имеющими высокие уровни экспрессии этих генов [41].…”
Section: анти-в-клеточная терапия при ревматических заболеванияхunclassified