| Literature DB >> 35735476 |
Francesco Urciuolo1,2, Roberta Passariello2,3, Giorgia Imparato3, Costantino Casale1, Paolo Antonio Netti1,2,3.
Abstract
The healing of deep skin wounds is a complex phenomenon evolving according with a fine spatiotemporal regulation of different biological events (hemostasis, inflammation, proliferation, remodeling). Due to the spontaneous evolution of damaged human dermis toward a fibrotic scar, the treatment of deep wounds still represents a clinical concern. Bioengineered full-thickness skin models may play a crucial role in this direction by providing a deep understanding of the process that leads to the formation of fibrotic scars. This will allow (i) to identify new drugs and targets/biomarkers, (ii) to test new therapeutic approaches, and (iii) to develop more accurate in silico models, with the final aim to guide the closure process toward a scar-free closure and, in a more general sense, (iv) to understand the mechanisms involved in the intrinsic and extrinsic aging of the skin. In this work, the complex dynamic of events underlaying the closure of deep skin wound is presented and the engineered models that aim at replicating such complex phenomenon are reviewed. Despite the complexity of the cellular and extracellular events occurring during the skin wound healing the gold standard assay used to replicate such a process is still represented by planar in vitro models that have been largely used to identify the key factors regulating the involved cellular processes. However, the lack of the main constituents of the extracellular matrix (ECM) makes these over-simplistic 2D models unable to predict the complexity of the closure process. Three-dimensional bioengineered models, which aim at recreating the closure dynamics of the human dermis by using exogenous biomaterials, have been developed to fill such a gap. Although interesting mechanistic effects have been figured out, the effect of the inflammatory response on the ECM remodelling is not replicated yet. We discuss how more faithful wound healing models can be obtained by creating immunocompetent 3D dermis models featuring an endogenous ECM.Entities:
Keywords: engineered skin; immune response; inflammation; scar tissue; skin on chip; wound healing
Year: 2022 PMID: 35735476 PMCID: PMC9219817 DOI: 10.3390/bioengineering9060233
Source DB: PubMed Journal: Bioengineering (Basel) ISSN: 2306-5354
Figure 1Schematic representation of wound healing phases: (A,B) Temporal evolution of cell-mediated wound healing and relative ECM components synthesis, (a) Undamaged skin, (b) Hemostatic phase and immune cells invasion in the wound bed, (c) Proliferation phase characterized by keratinocytes, fibroblasts and endothelial cells migration and proliferation for angiogenesis, collagen deposition, granulation tissue formation, re-epithelialization, and wound contraction to occur, (d) Maturation phase consisting in collagen remodeling (from type III to type I) and wound closure. Reprinted from Gurtner GC, Werner S, Barrandon Y et al. Wound repair and regeneration. Nature 2008; 453:314–21 [16] with permission from Springer Nature.
Main cells and molecules involved in the wound healing process.
| Cell Type | Activated by | Molecules Released | Effects |
|---|---|---|---|
| PLATELETS [ | Exposure to the underlying collagen and vWF after blood vessel rupture | PDGF, TGF-β, bFGF, KGF, EGF, IGF | Fibrin clot (scab) formation; enhance neutrophils, macrophages, fibroblasts, and endothelial cells chemotaxis and infiltration |
| ENDOTHELIAL CELLS (HEMOSTASIS PHASE) [ | Blood vessel injury | Prostaglandins, Leukotrienes | Vasodilation and platelets disassembly; increase in vascular permeability and in leukocytes chemotaxis and adhesion |
| ENDOTHELIAL CELLS (PROLIFERATION PHASE) [ | Tissue hypoxia, bFGF, KGF, VEGF, TNF-α, TGF-β, thrombin | Proteolytic enzymes, matrix MMP | Angiogenesis |
| DERMAL MAST CELLS [ | Complement system (C3a and C5a), physical stimuli (heat or mechanical injury) | Histamine, TNF-α, IL-1, TGF-β, PDGF, serine protease, chymase, tryptase, Prostaglandins, Leukotrienes | More leaky and permeable blood vessels; |
| NEUTROPHILS [ | Factor released by platelets, by-products of bacterial degradation | ROS, NO, antimicrobial peptides, antimicrobial proteases, IL-17, VEGF | Phagocytosis; antimicrobial function; wound debridement |
| MACROPHAGES (M1 PHENOTYPE—PRO- | Derived from chemotaxis of migrating monocytes activated by bacterial products, complement degradation products (C5a), and factor released by platelets and neutrophils | Proteinases, antimicrobial peptides and proteases, TNF-α, TGF-β, IL-1, IL-8 | Phagocytosis; antimicrobial function; wound debridement |
| MACROPHAGES (M2 PHENOTYPE—ANTI- | Proteinases, TGF-β, EGF, PDGF, TNF-α, IL-1, IFN-γ, IGF, IL-6, Fibronectin, bFGF, VEGF | Matrix synthesis regulation; cell recruitment and activation; angiogenesis | |
| T LYMPHOCYTES [ | IFN-γ released by macrophages | IL-2, IFN-γ, IL-4, IL-10, TGF-β, TNF-α, FGF | Macrophages production and differentiation regulation; synthesis and proliferation of fibroblast |
| EPITHELIAL CELLS/ | Mainly, EGF, secreted by platelets, and TGF-α produced by macrophages, platelets, and keratinocytes | bFGF, VEGF, TNF-α | Re-epithelization |
| FIBROBLASTS/ | PDGF, TGF-β, FGF, EGF, and IGF released by platelets and macrophages | Collagen type I and III, elastin, GAGs, adhesive glycoproteins | Matrix components synthesis; wound contraction |
Abbreviations: Insulin-like growth factor (IGF), ROS (Reactive Oxygen Species), NO (Nitric ox-ide), glycosaminoglycans (GAGs), Platelet Derived Growth Factor (PDGF), Transforming Growth Factor (TGF), Keratinocyte Growth Factor (KGF), Epidermal Growth Factor (EGF), Fibroblast Growth Factor (FGF), Metalloproteinases (MMP), Tumor Necrosis Factor (TNF), Interleukin (IL), Vascular Endothelial Growth Factor (VEGF), Interferon (IFN), von Willebrand factor (vWF).
Figure 22D scratch-assay steps: (1) Cell culture preparation and cell seeding into a plastic-bottomed multiwell tissue culture plates, (2) Cells confluent monolayer scratching with a pipette tip, (3) Time-lapse brightfield image acquisition of wounds up to gap closure, (4) Data analysis for mean cells migration rate estimation. Readapted from Grada A, Otero-Vinas M, Prieto-Castrillo F et al. Research Techniques Made Simple: Analysis of Collective Cell Migration Using the Wound Healing Assay. J Invest Dermatol 2017; 137:e11–6 [33] with permission from Elsevier.
Common 2D models used for bidimensional wound healing assays.
| 2D Models | Aim | Ref. |
|---|---|---|
| Keratinocytes monolayers | Study of the migration behavior to reproduce re-epithelialization process | [ |
| Fibroblasts monolayers | Evaluation of the migratory potential to study their speed, persistence, and polarity during granulation tissue formation | [ |
| Endothelial cells | How endothelial cells migrate and grow towards an angiogenic stimulus to form sprouts | [ |
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| Scratch Assay | Scratch ofa confluent monolayer of cells with pipette tip, cell scrapers, toothpicks or metallic micro indenters | [ |
| Stamp Wound Assay | Determine a lesion on the cell culture with a high-pressure force | [ |
| Thermal injury Assay | Injury a specific zone of the cell monolayer with very high or low temperatures | [ |
| Electrical Injury Assay | Destruction of a cell portion by applying an electric current | [ |
| Optical Injury Assay | Formation of a wounded area by means of a laser beam | [ |
Common 3D models used for tridimensional wound healing assays.
| 3D Models | Aim | Ref. |
|---|---|---|
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| Fibroblasts-populated Rat tail Collagen I + keratinocytes | Besides new tissue formation, these in vitro platforms enable us to screen molecules able to speed up the re-epithelization step | [ |
| Fibroblasts in DED + keratinocytes | [ | |
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| Fibroblasts-populated Rat tail Collagen I | Reproduction of the complex processes concerning ECM remodelling and cell-ECM crosstalk | [ |
| Fibroblast and endothelial cells embedded in Rat tail Collagen I and fibrinogen | [ | |
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| Fibroblasts embedded in their own ECM | Able to replicate in vitro morphogenesis, neo-synthesis, assembly, ECM turnover, and modification of ECM composition/architecture during a pathological state. | [ |
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| Mechanical Injury | Creation of a wound through a scalpel, a biopsy punch, or a rotating drill | [ |
| Laser wound | Tissue ablation in a specific area by a laser beam | [ |
| Thermal injury Assay | Deep burn wounds generated through the contact with a stainless-steel rod connected to a soldering iron | [ |
Figure 3Damaged 3D exogenous dermis equivalent: (a) Schematic representation of the experimental design: endothelial cells and fibroblasts embedded in a fibrin gel are inserted in a PDMS device. The 3D vascularized tissue is allowed to mature for 3 days before cutting with a diamond knife, (b) Immunofluorescence image of the wounded vascularized tissue one day after cutting. Z-projection, both in x-z and y-z coordinated, indicates the wound depth and white dotted lines delineate wound boundaries, (c) 24 h-brightfield time-lapse acquisitions with wound borders highlighted by yellow dotted lines, (d) Quantification of wound area reduction over 1 day, (e) Brightfield images of the tissue up to wound closure day (day4). Reproduced under the terms of the CC BY 4.0 license from Tefft JB, Chen CS, Eyckmans J. Reconstituting the dynamics of endothelial cells and fibroblasts in wound closure, 2021;016102. [71] Copyright © 2021, The Author(s); published by AIP Publishing.
Figure 4Damaged 3D endogenous dermis equivalent: (A–D) Workflow of the 3D-HDE (human dermal equivalent) cutting. Specifically, after 4 weeks of maturation, a 3D-HDE is cut with a scalpel into two parts; then, these parts are reallocated close together in a maturation chamber to reproduce a first intention wound healing in a dynamic regime. (a–c) SHG of the 3D-HDE after wounding over 3 weeks illustrates the neoformation of collagen fibers, (d–f) Qualitative evaluation of an α-SMA expression, over 3 weeks from wounding, shows how this protein is abundant during the second week which approximately corresponds to the proliferation phase, as the in vivo counterpart. This expression is suppressed during the third week which is reasonable since remodelling phase is starting, (g–i) Merge of the signals previously described, (j,k) Quantitative analyses of the number of cells per area and α-SMA production per number of cells. Symbols “*” and “**” stay for significant differences with p < 0.05. Reprinted from Lombardi B, Casale C, Imparato G, et al. Spatiotemporal Evolution of the Wound Repairing Process in a 3D Human Dermis Equivalent. Adv Healthc Mater 2017; 6:1–11 [79] with permission from John Wiley and Sons.
Figure 5Skin inflammation on chip: (A) Representation of an inflamed skin-on-chip configuration composed of a three-layers PDMS device and two PET porous membranes. Each layer corresponds to a cell line comprising human skin and, in particular, from bottom to top, endothelial cells, fibroblasts, and keratinocytes. Reproduced under the terms of the CC BY 4.0 license from Wufuer M, Lee GH, Hur W, et al. Skin-on-a-chip model simulating inflammation, edema and drug-based treatment. Sci Rep 2016; 6:1–12. [74] Copyright © 2016, The Author(s); published by Springer Nature. (B) Simulation of inflammation triggered by a wound through a microfluidic device. The microfluidic chip consists of three layers that host the cells that directly participate in this physiological process. Fibroblasts and macrophages are fluxed through the lateral channels while, in the central one, is added a Matrigel, which reproduces ECM, together with endothelial cells. Reprinted from Biglari S, Le TYL, Tan RP et al. Simulating Inflammation in a Wound Microenvironment Using a Dermal Wound-on-a-Chip Model. Adv Healthc Mater 2019; 8:1801307 [70] with permission from John Wiley and Sons.
Figure 6Immunocompetent skin models: (a–c) Schematic representation of macrophages or T cells co-seeded with a full-thickness skin equivalent. Reprinted from Pupovac A, Senturk B, Griffoni C, et al. Toward Immunocompetent 3D Skin Models. Adv Healthc Mater 2018; 7:1–11 with permission from John Wiley and Sons. (b-right panel) Experimental results of pan macrophages and M2 macrophages migration towards the epithelium. Reproduced under the terms of the CC BY 3.0 license from Linde N, Gutschalk CM, Hoffmann C, et al. Integrating macrophages into organotypic co-cultures: A 3D in vitro model to study tumor-associated macrophages. PLoS One 2012; 7. [84] Copyright © 2012, The Author(s); published by Plos.