Analysis of the (lymph-)angiogenic potential of regenerative scaffolds and the impact of adipose-derived mesenchymal stem cells.

Journal: Plastic And Reconstructive Surgery
Published:
Abstract

Background: Regenerative matrices are essential in the therapy of complex wounds, where lymphangiogenesis and angiogenesis play crucial roles. This work investigates the lymph- and angiogenic potential of regenerative scaffolds and the influence of adipose-derived mesenchymal stem cells (ADSC) in a rodent wound model.

Methods: In a wound model, we administered different Acellular Dermal Matrices (ADMs) to two wounds on each rat-enriching one with ADSCs and leaving the other without. ADSCs were isolated from rodent inguinal fat tissue, characterized using FACS, and their viability confirmed in vitro on different matrices. Tissue samples were collected on days 7, 14, 21, and 28 postoperatively. Six different ADMs, including two synthetic and four biological variants, were compared using histological, immunofluorescence staining, and molecular biological analyses.

Results: ADM integration varied, with Collagen-Elastin-ADM showing the highest integration (95%) and Polyurethane-ADM the lowest (23%) after 7 days. Synthetic ADMs, particularly Polyurethan-ADM, exhibited the highest mRNA expression of angiogenesis and lymphangiogenesis markers at 7 and 28 days. Protein analysis showed synthetic ADMs had the highest CD31 levels from 14 to 28 days, while Collagen-ADM had the highest LYVE1 and PROX1 levels at 21 and 28 days. Immunofluorescence revealed Polylactide-ADM consistently had the highest CD31 and LYVE1 signals at various times, with Polyurethan-ADM and Collagen-ADM peaking at 28 days. The application of ADSCs did not enhance lymphangiogenesis or angiogenesis. ADM material properties impact lymphangiogenesis and angiogenesis, guiding therapeutic selection and tissue regeneration. This study highlights Collagen-, Polylactide-, and Polyurethane-ADMs as the most effective in promoting these processes.

Authors
Katja Koll, Donna Klevansky, Dimitri Kasakovski, Nima Ahmadzadeh, Patrick Will, Ulrich Kneser, Christoph Hirche