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Targeting lymphatic vessels enhances bone regeneration by augmenting osteoclast activity in mouse models of amputation

GSE313923 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2026/02/06 Platform GPL34290Platform GPL30172
Summary
Although mammals generally demonstrate limited regenerative capacity compared with amphibians, the digit tip retains remarkable regenerative potential, providing a useful model to study successful mammalian regeneration. This process involves coordinated immune cell activity, vascular remodeling, and tissue reconstruction, yet the molecular checkpoints controlling regenerative versus fibrotic outcomes remain poorly understood. In mammals, regeneration of the digit tip (P3) proceeds through myeloid cell migration, early osteoclast-mediated osteolysis of the distal bone, and subsequent blastema-mediated regeneration. Here we test the hypothesis that lymphatic vessels regulate regenerative capacity by modulating local immune cell dynamics and osteoclast function. Using a lymphatic system–specific reporter line, we discovered that lymphatic vessels grow toward the nail region from the ventral side of the digit during quiescence and after amputation. These lymphatics closely surround, but do not invade, the native or regenerated bone. Unexpectedly, genetic, pharmacological, and surgical inhibition of lymphangiogenesis accelerated early osteolysis through enhanced transition of myeloid cells to osteoclasts, resulting in faster and more robust regeneration. These findings reveal a mechanism linking lymphatic vessel, immune regulation, and bone remodeling, suggesting that targeted manipulation of lymphatics dynamics may enhance regenerative outcomes after musculoskeletal injury.
Published in
Targeting lymphatic vessels enhances bone regeneration by augmenting osteoclast activity in mouse models of amputation
Vishlaghi N, Ghotra TK, Mittal M et al. · The Journal of clinical investigation 2026 · PMID 41623168 · doi:10.1172/JCI191906
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Also filed as BioProject PRJNA1387362 and SRA study SRP655629. Searching any of these in the dataset finder brings you back here.

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