File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Unraveling transcriptomic signatures and dysregulated pathways in systemic lupus erythematosus across disease states

TitleUnraveling transcriptomic signatures and dysregulated pathways in systemic lupus erythematosus across disease states
Authors
Issue Date13-May-2024
PublisherBioMed Central
Citation
Arthritis Research and Therapy, 2024, v. 26 How to Cite?
Abstract

Objectives: This study aims to elucidate the transcriptomic signatures and dysregulated pathways in patients with Systemic Lupus Erythematosus (SLE), with a particular focus on those persisting during disease remission.

Methods: We conducted bulk RNA-sequencing of peripheral blood mononuclear cells (PBMCs) from a well-defined cohort comprising 26 remission patients meeting the Low Lupus Disease Activity State (LLDAS) criteria, 76 patients experiencing disease flares, and 15 healthy controls. To elucidate immune signature changes associated with varying disease states, we performed extensive analyses, including the identification of differentially expressed genes and pathways, as well as the construction of protein-protein interaction networks.

Results: Several transcriptomic features recovered during remission compared to the active disease state, including down-regulation of plasma and cell cycle signatures, as well as up-regulation of lymphocytes. However, specific innate immune response signatures, such as the interferon (IFN) signature, and gene modules involved in chromatin structure modification, persisted across different disease states. Drug repurposing analysis revealed certain drug classes that can target these persistent signatures, potentially preventing disease relapse.

Conclusion: Our comprehensive transcriptomic study revealed gene expression signatures for SLE in both active and remission states. The discovery of gene expression modules persisting in the remission stage may shed light on the underlying mechanisms of vulnerability to relapse in these patients, providing valuable insights for their treatment.


Persistent Identifierhttp://hdl.handle.net/10722/345970
ISSN
2023 Impact Factor: 4.4
2023 SCImago Journal Rankings: 1.518

 

DC FieldValueLanguage
dc.contributor.authorWang, Frank Qingyun-
dc.contributor.authorShao, Li-
dc.contributor.authorDang, Xiao-
dc.contributor.authorWang, Yong-Fei-
dc.contributor.authorChen, Shuxiong-
dc.contributor.authorLiu, Zhongyi-
dc.contributor.authorMao, Yujing-
dc.contributor.authorJiang, Yuping-
dc.contributor.authorHou, Fei-
dc.contributor.authorGuo, Xianghua-
dc.contributor.authorLi, Jian-
dc.contributor.authorZhang, Lili-
dc.contributor.authorSang, Yuting-
dc.contributor.authorZhao, Xuan-
dc.contributor.authorMa, Ruirui-
dc.contributor.authorZhang, Kai-
dc.contributor.authorZhang, Yanfang-
dc.contributor.authorYang, Jing-
dc.contributor.authorWen, Xiwu-
dc.contributor.authorLiu, Jiong-
dc.contributor.authorWei, Wei-
dc.contributor.authorZhang, Chuanpeng-
dc.contributor.authorLi, Weiyang-
dc.contributor.authorQin, Xiao-
dc.contributor.authorLei, Yao-
dc.contributor.authorFeng, Hong-
dc.contributor.authorYang, Xingtian-
dc.contributor.authorShe, Chun Hing-
dc.contributor.authorZhang, Caicai-
dc.contributor.authorSu, Huidong-
dc.contributor.authorChen, Xinxin-
dc.contributor.authorYang, Jing-
dc.contributor.authorLau, Yu Lung-
dc.contributor.authorWu, Qingjun-
dc.contributor.authorBan, Bo-
dc.contributor.authorSong, Qin-
dc.contributor.authorYang, Wanling-
dc.date.accessioned2024-09-04T07:06:50Z-
dc.date.available2024-09-04T07:06:50Z-
dc.date.issued2024-05-13-
dc.identifier.citationArthritis Research and Therapy, 2024, v. 26-
dc.identifier.issn1478-6354-
dc.identifier.urihttp://hdl.handle.net/10722/345970-
dc.description.abstract<p><strong>Objectives: </strong>This study aims to elucidate the transcriptomic signatures and dysregulated pathways in patients with Systemic Lupus Erythematosus (SLE), with a particular focus on those persisting during disease remission.</p><p><strong>Methods: </strong>We conducted bulk RNA-sequencing of peripheral blood mononuclear cells (PBMCs) from a well-defined cohort comprising 26 remission patients meeting the Low Lupus Disease Activity State (LLDAS) criteria, 76 patients experiencing disease flares, and 15 healthy controls. To elucidate immune signature changes associated with varying disease states, we performed extensive analyses, including the identification of differentially expressed genes and pathways, as well as the construction of protein-protein interaction networks.</p><p><strong>Results: </strong>Several transcriptomic features recovered during remission compared to the active disease state, including down-regulation of plasma and cell cycle signatures, as well as up-regulation of lymphocytes. However, specific innate immune response signatures, such as the interferon (IFN) signature, and gene modules involved in chromatin structure modification, persisted across different disease states. Drug repurposing analysis revealed certain drug classes that can target these persistent signatures, potentially preventing disease relapse.</p><p><strong>Conclusion: </strong>Our comprehensive transcriptomic study revealed gene expression signatures for SLE in both active and remission states. The discovery of gene expression modules persisting in the remission stage may shed light on the underlying mechanisms of vulnerability to relapse in these patients, providing valuable insights for their treatment.</p>-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofArthritis Research and Therapy-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleUnraveling transcriptomic signatures and dysregulated pathways in systemic lupus erythematosus across disease states-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1186/s13075-024-03327-4-
dc.identifier.volume26-
dc.identifier.eissn1478-6362-
dc.identifier.issnl1478-6354-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats