Oral antibiotics can predispose to joint inflammation, but this phenomenon remains poorly understood. Here, we leverage mouse models of alphavirus-induced arthritis to investigate the roles of gut commensals, metabolites, and host immune mechanisms in promoting musculoskeletal inflammation. Mice treated with a short course of oral antibiotics exhibited worsened arthritis after chikungunya (CHIKV) or Mayaro virus infections. This phenotype was associated with loss of short-chain fatty acids (SCFAs), greater intestinal permeability, and activation of gut-associated immune cells and required TLR4 signaling, MyD88 expression, monocytes, antigen-specific and bystander CD4+ T cells, and proinflammatory cytokines. Administration of exogenous SCFAs or colonization of mice with bacterial species that generate SCFAs mitigated CHIKV-induced joint inflammation. scRNA-seq revealed that gut-derived SCFAs ameliorate the inflammatory phenotype of synovial CD4+ T cells, infiltrating monocytes, and resident osteoclast-like cells. Thus, antibiotic-triggered gut dysbiosis exacerbates alphavirus arthritis by shaping the inflammatory profile of both infiltrating and resident immune cells in joint tissues.
Fang R. Zhao, Maksim Kleverov, Emma S. Winkler, Russell B. Williams, Hana Janova, Lindsay Droit, Leran Wang, Ting-ting Li, Leah Heath, Ana Jung, Matthias Mack, Megan T. Baldridge, Thaddeus S. Stappenbeck, Larissa B. Thackray, Chyi-Song Hsieh, Scott A. Handley, Chun-Jun Guo, Michael A. Fischbach, Maxim N. Artyomov, Michael S. Diamond
Usage data is cumulative from July 2026 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 637 | 0 |
| 72 | 0 | |
| Figure | 132 | 0 |
| Supplemental data | 45 | 0 |
| Citation downloads | 25 | 0 |
| Totals | 911 | 0 |
| Total Views | 911 | |
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.