Cell transplantation · 2025
The future role of mitochondrial drugs in vascularized composite allotransplantation: A short review.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Knoedler Leonard, Mendelsohn Daniel H, Van Dieren Loïc, Schaschinger Thomas, Hoch Cosima C, Heiland Max, Iske Jasper, Klimitz Felix J, Jeljeli Maxime, Uygun Korkut, Cetrulo Curtis L, Lellouch Alexandre G
Аннотация
Vascularized composite allotransplantation (VCA) has emerged as an innovative strategy to restore form and function in patients with severe tissue defects involving anatomical regions such as the face, hand, and abdominal wall. Composite allografts are composed of diverse tissues, including skin, muscle, bone, vasculature, nerves, and mucosal surfaces, posing unique challenges in immunological management. Clinical outcomes following VCA surgeries have been encouraging; however, a comprehensive understanding of the underlying cellular interactions and molecular pathways is still predominantly derived from studies in solid organ transplantation (SOT). Recent advances in SOT have identified mitochondria as crucial therapeutic targets capable of mediating transplant rejection, mitigating ischemia-reperfusion injury (IRI), and enhancing graft longevity. Nevertheless, the explicit role and potential therapeutic applications of mitochondria within VCA remain largely unexplored. This review aims to critically examine and elucidate the significance of mitochondria in overcoming the current limitations encountered in VCA surgery. A deeper insight into mitochondrial biology could hypothetically provide clinicians and researchers with novel, targeted therapeutic strategies to improve clinical outcomes in VCA; however, these approaches require further validation in preclinical models.