Whole-Mount Immunostaining for the Visual Separation of A- and C-Fibers in the Study of the Sciatic Nerve.

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作者:Ustymenko Valeriia, Pivneva Tetyana, Medvediev Volodymyr, Belan Pavel, Voitenko Nana
Peripheral nerve injuries (PNIs) often result in incomplete functional recovery due to insufficient or misdirected axonal regeneration. Balanced regeneration of myelinated A-fibers and unmyelinated C-fibers is essential for functional recovery, making it crucial to understand their differential regeneration patterns to improve PNI treatment outcomes. However, immunochemical staining does not clearly differentiate between A- and C-fiber axons in whole-mount nerve preparations. To overcome this limitation, we developed a modified protocol by optimizing the immunostaining to restrict the antibody access to myelinated axons. This enables visualization of A-fibers by myelin sheath labeling, while allowing selective staining of unmyelinated C-fiber axons. As a result, A- and C-fibers can be reliably distinguished, facilitating accurate analysis of their regeneration in both normal and post-injury conditions. Combined with confocal microscopy, this approach supports efficient screening of whole-mount nerve preparations to evaluate fiber density, spatial distribution, axonal sprouting, and morphological characteristics. The refined technique provides a robust tool for advancing PNI research and may contribute to the development of more effective therapeutic strategies for nerve repair. Key features • Visual separation of myelinated A-fibers and unmyelinated C-fibers is achieved by restricting the penetration of axon-labeling antibodies through the myelin sheaths. • The protocol also distinguishes A- and C-fibers based on the types of associated Schwann cells. • The protocol is specially designed to distinguish between A- and C-fibers as well as their morphological features in whole-mount nerve preparations. • The protocol does not require specialized reagents, equipment, or techniques, making it highly accessible and reproducible across different research settings.

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