{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T18:05:59Z","timestamp":1787508359172,"version":"build-2736575974"},"reference-count":51,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:00:00Z","timestamp":1750291200000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J of Rheum Dis"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aims to investigate the molecular differences and commonalities between systemic sclerosis (SSc) and systemic lupus erythematosus (SLE) by analyzing RNA\u2010sequencing (RNA\u2010seq) data. By focusing on differentially expressed genes and enriched pathways, the investigation seeks to identify unique biomarkers, shared pathways, and potential therapeutic targets for these autoimmune diseases.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study involved 10 patients with SSc and 24 with SLE who did not receive immunosuppressants. RNA\u2010seq data from patients with SSc and SLE were analyzed using DESeq2 to identify differentially expressed genes. Functional and pathway enrichment analyses were conducted and comparative analyses were performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We identified 2055 differentially expressed genes (DEGs) between patients with SSc and controls. Notably, the expression of the shared gene\n                      <jats:italic>RGS5<\/jats:italic>\n                      was significantly downregulated in both SLE and SSc, with a more pronounced downregulation in SSc. Additionally, the expression of the key transcription factor\n                      <jats:italic>EGR1<\/jats:italic>\n                      was upregulated in SSc, whereas that of\n                      <jats:italic>BLK<\/jats:italic>\n                      ,\n                      <jats:italic>ITGAM<\/jats:italic>\n                      , and\n                      <jats:italic>IFNG<\/jats:italic>\n                      was upregulated in SLE. Network analysis identified hub genes\u2014\n                      <jats:italic>AP3D1<\/jats:italic>\n                      ,\n                      <jats:italic>FTX<\/jats:italic>\n                      ,\n                      <jats:italic>USP47<\/jats:italic>\n                      ,\n                      <jats:italic>CUX1<\/jats:italic>\n                      ,\n                      <jats:italic>ZC3H4<\/jats:italic>\n                      ,\n                      <jats:italic>CAND1<\/jats:italic>\n                      ,\n                      <jats:italic>INTS1<\/jats:italic>\n                      ,\n                      <jats:italic>TRNT1<\/jats:italic>\n                      ,\n                      <jats:italic>MTERF1<\/jats:italic>\n                      , and\n                      <jats:italic>SETD1B<\/jats:italic>\n                      \u2014that may play critical roles in the progression of both SLE and SSc.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      These findings suggest that\n                      <jats:italic>RGS5<\/jats:italic>\n                      could serve as a shared biomarker for vascular dysfunction, while\n                      <jats:italic>EGR1<\/jats:italic>\n                      and\n                      <jats:italic>BLK<\/jats:italic>\n                      may represent therapeutic targets in SSc and SLE. Overall, this analysis enhances understanding of distinct and overlapping gene expression signatures in SSc and SLE, providing a foundation for future targeted treatment strategies and requiring further validation in larger cohorts.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1756-185x.70308","type":"journal-article","created":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T23:24:38Z","timestamp":1750375478000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Unveiling Biomarkers and Therapeutic Targets in Systemic Sclerosis and Lupus Erythematosus Through Transcriptomic Profiling"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2128-3647","authenticated-orcid":false,"given":"Ang\u2010Jun","family":"Liu","sequence":"first","affiliation":[{"name":"Chinese Medicine Clinic, Tainan Hospital Ministry of Health and Welfare  Tainan 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