| Autor: |
Freppel W; Institute for Biomedicine and Glycomics, Gold Coast Campus, Griffith University, Southport, QLD 4222, Australia., Lim EXY; Institute for Biomedicine and Glycomics, Gold Coast Campus, Griffith University, Southport, QLD 4222, Australia., Rudd PA; Institute for Biomedicine and Glycomics, Gold Coast Campus, Griffith University, Southport, QLD 4222, Australia., Herrero LJ; Institute for Biomedicine and Glycomics, Gold Coast Campus, Griffith University, Southport, QLD 4222, Australia. |
| Abstrakt: |
Introduction. Ross River virus (RRV) is a mosquito-borne virus prevalent in Australia and the islands of the South Pacific, where it causes an arthritogenic illness with a hallmark feature of severe joint pain. The joint space is a unique microenvironment that contains cartilage and synovial fluid. Chondrocytes and synoviocytes are crucial components of the joint space and are known targets of RRV infection. Hypothesis/Gap statement. Understanding the relationship between synoviocytes and chondrocytes during RRV infection will provide further insights into RRV-induced joint pathology. Methodology. To better understand the unique dynamics of these cells during RRV infection, we used primary chondrocytes cultured in physiologically relevant micromasses. We then directly infected micromass chondrocytes or infected primary fibroblast-like synoviocytes (FLS), co-cultured with micromass chondrocytes. Micromass cultures and supernatants were collected and analysed for viral load with a PCR array of target genes known to play a role in arthritis. Results. We show that RRV through direct or secondary infection in micromass chondrocytes modulates the expression of cellular factors that likely contribute to joint inflammation and disease pathology, as well as symptoms such as pain. More importantly, while we show that RRV can infect micromass-cultured chondrocytes via FLS infection, FLS themselves affect the regulation of cellular genes known to contribute to arthritis. Conclusion. Single-cell culture systems lack the complexity of in vivo systems, and understanding the interaction between cell populations is crucial for deciphering disease pathology, including for the development of effective therapeutic strategies. |
