Patients with immune-mediated inflammatory diseases (IMIDs) like rheumatoid arthritis (RA) are at higher risk for severe COVID-19 and long-term complications in bone health. Emerging clinical evidence demonstrated that SARS-CoV-2 infection reduces bone turnover and promotes bone loss, but the mechanism underlying worsened bone health remains elusive. This study sought to identify specific immune mediators that exacerbated preexisting IMIDs after SARS-CoV-2 exposure. Plasma samples from 4 groups were analyzed: healthy, IMID only, COVID-19 only, and COVID-19 + IMID. Using high-throughput multiplexed proteomics, we profiled 1,500 protein biomarkers and identified 148 unique biomarkers in COVID-19 patients with IMIDs, including elevated inflammatory cytokines (e.g., IL-17F) and bone resorption markers. Long-term circulating SARS-CoV-2 ORF8, a virulence factor for COVID-19, was detected in the COVID + IMID group. RA was one of the most common IMIDs in our study. ORF8 treatment of RA-derived human osteoblasts (RA-hOBs) increased levels of inflammatory (TNF, IL6, CCL2) and bone resorption (RANKL/osteoprotegerin ratio) markers compared with healthy controls. Supernatants from ORF8-treated RA-hOBs drove the differentiation of macrophages into osteoclast-like cells. These findings suggest that SARS-CoV-2 exposure can exacerbate IMIDs through ORF8-driven inflammation and osteoclastogenesis, highlighting potential therapeutic targets for managing COVID-19–induced bone pathologies.
Ivonne Melano, Tamiris Azamor, Camila C.S. Caetano, Nikki M. Meyer, Chineme Onwubueke, Anabelle Visperas, Débora Familiar-Macedo, Gielenny M. Salem, Brandy-Lee Soos, Cassandra M. Calabrese, Youn Jung Choi, Shuyang Chen, Younho Choi, Xianfang Wu, Zilton Vasconcelos, Suzy A.A. Comhair, Karin Nielsen-Saines, Leonard H. Calabrese, M. Elaine Husni, Jae U. Jung, Nicolas S. Piuzzi, Suan-Sin Foo, Weiqiang Chen
Usage data is cumulative from December 2024 through December 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 3,129 | 285 |
| 679 | 63 | |
| Figure | 364 | 2 |
| Table | 63 | 0 |
| Supplemental data | 441 | 7 |
| Citation downloads | 117 | 0 |
| Totals | 4,793 | 357 |
| Total Views | 5,150 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.