Automated Quantification of Osteoclast Fission Reveals Increased Osteoclast Fission Following Anti-RANKL Therapy — ASN Events

Automated Quantification of Osteoclast Fission Reveals Increased Osteoclast Fission Following Anti-RANKL Therapy (#229)

Dougall M Norris 1 , Imala Alwis 1 , Shelley Ma 2 , Hideaki Sabe 3 , Olivia Mayers 1 , Millie Jiang 1 , Aaron Schindeler 4 , Albert Kim 5 6 , Christian Girgis 5 6 , Yasuhito Yahara 7 , Michelle M McDonald 1 5
  1. Charles Perkins Centre, Camperdown, NSW, Australia
  2. Garvan Institute of Medical Research, Sydney
  3. Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
  4. Faculty of Engineering, The University of Sydney, Sydney
  5. Faculty of Medicine and Health, The University of Sydney, Sydney
  6. Department of Diabetes and Endocrinology, Westmead Hospital,, Sydney, NSW, Australia
  7. Department of Orthopedic Surgery, , Faculty of Medicine, University of Toyama, Toyama, Japan

6a4b30d5828a7-260703+Figures+for+ANZBMS.jpgDiscontinuation of denosumab (Dmab), a monoclonal antibody targeting RANKL, causes a rebound increase in osteoclast formation and bone resorption that elevates fracture risk. Using an OPG:Fc withdrawal model, we previously identified an early rise in RANKL followed by a surge in osteoclast activity. Although accumulation of osteoclast precursors contributes to this phenomenon, the contribution of osteoclast fission and osteomorph formation remains unclear.

Our group recently identified osteomorphs, osteoclast-derived cells generated by fission that can rapidly re-fuse into functional osteoclasts. We hypothesised that anti-RANKL therapy promotes osteoclast fission, resulting in the accumulation of fusion-competent cells that contribute to rebound osteoclastogenesis following treatment cessation.

Using primary murine osteoclasts from LysM-Tdtomato mice and live-cell imaging, we previously demonstrated by manual analysis that low-dose OPG:Fc (31.25 ng/ml) significantly increased osteoclast fission. To evaluate the effects of RANKL inhibition on osteoclast dynamics in an unbiased manner, we developed a high-throughput automated analysis pipeline in Imaris incorporating machine learning-based segmentation to robustly quantify fission events (Fig. 1a). Using this approach, we identified a significant increase in osteoclast fission following treatment with high-dose OPG:Fc (125 ng/ml) compared with controls (Fig. 1b).

Ongoing studies will utilise a novel osteoclast-specific split-Cre reporter mouse driven by Acp5 and Ctsk promoters (developed by A/Prof Yahara’s laboratory) to enable precise tracking of osteomorphs and define their role in osteoclast reformation and Dmab rebound (Fig. 1c). Together, these findings implicate osteoclast plasticity as a driver of rebound bone loss and a potential therapeutic target in osteoporosis.

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