Integration of line-field confocal optical coherence tomography and in situ microenvironmental mapping to investigate the living microenvironment of reconstructed human skin and melanoma models
Elisabetta Michielon , Alexandre C. Motta , Jonas Ogien , Paul Oranje , Taco Waaijman , Varsha Thakoersing , Sanne Veldhorst , Tanja D. de Gruijl , Susan Gibbs
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引用次数: 0
Abstract
Background
In tissue engineering, real-time monitoring of tumors and of the dynamics of the microenvironment within in vitro models has traditionally been hindered by the need to harvest the cultures to obtain material to analyze. Line-field confocal optical coherence tomography (LC-OCT) has proven to be useful in evaluating in vivo skin conditions, including melanoma, by capturing dynamic, three-dimensional (3D) information without the need for invasive procedures, such as biopsies. Additionally, the M-Duo Technology® developed by IMcoMET presents a unique opportunity for continuous in situ biomarker sampling, providing insights into local cellular behavior and interactions.
Objective
This study aimed to validate the non-destructive mapping capabilities of two advanced methodologies (LC-OCT by DAMAE Medical and M-Duo Technology® by IMcoMET) to investigate the living microenvironment of in vitro reconstructed human skin (RhS) and melanoma-RhS (Mel-RhS).
Methods
LC-OCT and M-Duo Technology® were compared to conventional analysis of the RhS and Mel-RhS microenvironments.
Results
LC-OCT successfully visualized the distinct layers of the epidermis and tumor structures within the Mel-RhS, identifying keratinocytes, melanocytes, tumor nests, and fibroblasts. The M-Duo Technology® revealed differences in in situ cytokine (IL-6) and chemokine (CCL2, CXCL10, and IL-8) secretion between Mel-RhS and the control RhS. Notably, such differences were not detected through conventional investigation of secreted proteins in culture supernatants.
Conclusion
The combination of LC-OCT's high-resolution imaging and M-Duo Technology®’s in situ microenvironmental mapping has the potential to provide a synergistic platform for non-invasive, real-time analysis, allowing for prolonged observation of processes within Mel-RhS models without the need for culture disruption.