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From Wound toScar: Scarring Explained—Pathophysiology ofWound Healing
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growth factor receptors of the broblasts are downregulated, and some of the broblasts undergo apoptosis (especially the broblast cells).
Re-epithelialization
Re-epithelialization of the wound begins within a few hours after injury. Starting from the skin appendages (e.g., hair follicles) and the wound margins, epidermal keratinocytes gradually cover the wound surface with an epithelial turf, thus closing the wound surface [41, 42].
Migration, proliferation, and differentiation of keratinocytes are crucial steps. The otherwise very grounded keratinocytes change their appear­ance and function. Cohesion among keratino­cytes is lost as retraction of tonolaments occurs and intercellular desmosomes are dissolved. Finally, the epithelial cells also lose their adhe­sion to the basement membrane because the hemidesmosomes of the basal keratinocytes are also dissolved. The keratinocytes atten, form foot-like projections, and actively migrate later­ally toward the wound matrix [43].
A prerequisite for the migration of keratino­cytes is the formation of new adhesion molecules for attachment to the provisional matrix or wound dermis. Fibronectin/tenascin, vitronectin, and col­lagen receptors ensure the necessary adhesion and alignment to the corresponding matrix proteins during keratinocyte locomotion. The amoeboid locomotion of keratinocytes is enabled by intra­cellular contractile actinomyosin laments, which alternately contract and redistribute accordingly in the newly formed lamellipodia [25, 34, 43]. The keratinocytes migrate horizontally individu­ally or in cell assemblies. They typically glide over the newly formed epidermal cell seam.
Migration and proliferation of keratinocytes from the wound edge are induced by the lack of contact with (destroyed) neighboring cells (“free edge effect”) and stimulated by local release of growth factors (e.g., EGF, TGF-α, and -β) and expression of growth factor receptors-β, keratino­cyte growth factor (KGF). As soon as epithelial cell fronts meet, keratocyte migration is halted by contact inhibition. Parallel to progressive re- epithelialization, the basement membrane—
fundamental connection and separating layer between epidermis and dermis—is also restored. The nal step is the xation of the basal lamina by the anchoring brils. In the end, keratinocyte pro­liferation and differentiation lead to the formation of a regular keratinizing epidermis [10, 15, 22].
Epithelialization proceeds most rapidly with a clean wound bed, intact basal lamina, and moist wound conditions. Necrotic tissue, debris, or crusts slow down epithelialization. The advancing epithelial front undermines wound coatings and forces its way between the necrosis zone and the granulation tissue. To enable this penetration, keratinocytes release plasminogen activator for brinolysis using plasmin present in the coagulum and MMPs for lysis of collagen [15, 30, 32].
Remodeling Phase
The remodeling phase includes the transforma­tion from granulation tissue to scar. It begins at the same time as the granulation phase, lasts up to 2 years, and completes wound healing. In this phase, a slow remodeling of the connective tissue takes place, during which the scar acquires its nal properties such as function, strength, and appearance. The remodeling phase is character­ized by the coexistence of collagen degradation and collagen synthesis: type 3 collagen, which was synthesized during the rst weeks of wound healing, is now continuously replaced by stable type 1 collagen [40, 41].
Collagen bers are dissolved by specic MMPs released into the extracellular space by macrophages, granulocytes, epidermal cells, endothelial cells, and broblasts in the wound area. While remodeling, the activity of MMPs steadily decreases, while the activity of inhibitors increases. The presence of TIMPs protects against excessive proteolysis. A balanced ratio of MMPs and their inhibitors in the wound is thus an absolute prerequisite for trouble-free healing.
The ongoing synthesis of stable collagen, its consolidation with the formation of cross-links, the interweaving into thicker bundles, and their proper alignment contribute to the increasing
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strength of the healing wound. The orientation of the collagen bundles is adapted to local and functional requirements. Nevertheless, scar tis­sue never becomes as strong as healthy tissue. Two weeks after an injury, the healing wound has on average only regained 5% of its original resil­ience, 3weeks later about 20%, and 1month later about 40%. Even after an optimal healing pro­cess, the tensile strength of the scar tissue always remains below 80% of its initial state [41].
At the end of the remodeling phase, the scar is poor in cells and vessels, with loss of skin appendages. The density of the collagen bers increases, and the originally complex interwo­ven collagen is replaced by dense parallel bun­dles. The connective tissue becomes cell depleted as macrophages and broblasts are reduced by apoptosis. Capillary growth stops and blood vessels are reduced; the reddish color of the friable vascular scars gives way to the pale discoloration of the vascular-poor old scar.
Chronic Wounds
In western industrialized nations, about 1–2% of the population suffers from chronic wounds. The incidence increases with age and reaches 4–5% after the age of 80 [11]. Especially arterial, venous, and diabetic ulcers, as well as decubital ulcers, occur more frequently in older than in younger people. The main causes are certainly the numerous comorbidities of the elderly, con­sumptive diseases, prolonged administration of drugs with negative inuence on healing such as steroids, antiphlogistic, or cytostatic, limited mobility, malnutrition, and nally cellular and biochemical changes in the aging skin.
Although most wound specialists have very concrete ideas of what a chronic wound is, there is yet no binding definition of it. Some already speak of a chronic wound at a healing time of >4 weeks, others only at a healing time of >12weeks. In the documents of World Union of Wound Healing Societies, 6weeks is a critical time to define a wound as a chronic wound. However, time limits alone
can only reflect the actual wound condition to a limited extent. A chronic wound is char­acterized above all by the fact that, despite intensive therapy, healing does not occur within a reasonable period. According to the guidelines of the German Society for Phlebology, a leg ulcer is considered chronic if it shows no healing tendency within 3months or has not healed within 12months [14, 16, 22, 28].
Biology of Chronic Wounds
In chronic wounds, physiologic phasic healing is disrupted, and the process is “stuck,” usually in the inammatory or proliferative phase. Growth factors, cytokines, proteases, cells, and ECM are the main components of healing; alter­ations and disturbances of individual elements can severely slow down wound healing. Wound healing is also signicantly impaired by exces­sive inammation, tissue damage by free oxy­gen radicals, cell aging, disease-specic factors such as metabolic disorders (e.g., diabetes mel­litus), hypoxia of various origins, or nutritional deciencies. Necrotic tissue, exudate, and infec­tion also hinder healing in the long term [4, 5,
12, 23, 36, 43, 48].
In chronic venous leg ulcers, for example, increased neutrophils and macrophages can be detected in the tissue. These are activated and release more reactive oxygen species and various proteases. The inammatory phase with neutro­phils and macrophages persists and severely affects the subsequent phases of matrix deposi­tion and re-epithelialization [40].
The main characteristics of a chronic wound are essentially
• An increased activity of matrix metallopro-
teinases (MMPs).
• A decreased response to growth factors.
• Senescence of cells (cell aging).
In undisturbed healing of acute wounds, there is a balance between catabolic and anabolic pro­cesses, and production and activity of tissue pro-
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teinases are under tight and effective control. In chronic ulcers, however, the enzymatic activity of MMPs is increased. At the same time, the activity of MMP inhibitors in the tissue is decreased. This leads to a sustained and exces­sive degradation of ECM proteins (e.g., collagen, bronectin, and vitronectin). Since the latter are invisible guiding structures for the proliferation, migration and spatial orientation of broblasts, endothelial cells, and keratinocytes, their contin­uous destruction results in a wound-healing arrest [18, 23, 29].
However, it is not only the permanent degra­dation of matrix proteins that leads to a halt in cell proliferation and cell migration in the chronic wound. Cytokines and growth factors cannot exert their healing-promoting effects in the wound area, as they are also enzymatically degraded and inactivated by MMPs [24]. In addi- tion, there is evidence that MMPs in chronic wounds can also inactivate receptor proteins for cytokines and growth factors, further enhancing their anti-healing effects [7, 9, 16, 21, 23]. This “aggressive microenvironment” may explain the widespread failure of locally applied recombi­nant growth factors in the therapy of chronic wounds [40].
Chronic wounds are usually characterized by excessive inammation. Indeed, the exudate of chronic wounds is rich in pro-inammatory cytokines such as TNF-α and IL-1 β. These cytokine levels correlate closely with the clini­cal course and decrease with the onset of wound healing. Approximately 100-fold higher con­centrations of TNF-α and IL-1 β were measured in wound uid from chronic wounds than in acute wound uid after mastectomy [23]. In cell cultures of healthy broblasts, endothelial cells, and keratinocytes, the addition of exudate from chronic wounds causes growth inhibition [6], whereas exudate from acute wounds increases proliferation.
The cellular inammatory response is also altered; neutrophilic leukocytes from patients with chronic venous ulcers are more active and produce more oxygen-free radicals than from healthy control subjects [39, 40]. In contrast, macrophages from patients with chronic venous
ulcers are insufciently activated and the release of healing-promoting cytokines and growth fac­tors is unsuppressed [12].
The so-called replicative senescence (“aging”) of broblasts is also to blame for the poor healing tendency of chronic wounds [17]: physiologi­cally, all cells have a limited proliferative capac­ity, i.e., the number of possible cell divisions is limited. At the end of their proliferative lifespan, broblasts change their phenotype, become resis­tant to apoptotic cell death, and lose their prolif­erative capacity [28, 37, 39, 41].
In chronic venous ulcers with poor healing tendency, more broblasts can be detected in the stage of senescence [17]. They divide more slowly than broblasts from healthy tissue and can only generate a limited number of daughter cells [33, 40].
On the one hand, pro-inammatory cytokines, oxidative stress, or bacterial toxins probably cause the phenomenon of premature cell aging in the chronic wound environment. Experimental evidence suggests that chronic wound uid inhib­its DNA synthesis and broblast growth [6, 32]. On the other hand, prolonged excessive and uncoordinated cell divisions may deplete prolif­erative capacity in chronic wounds [1, 16].
Senescent broblasts produce increased amounts of proteolytic enzymes such as collage­nase, elastase, and stromelysin and decreased TIMP-1 and TIMP-9 compared to healthy cells. The accumulation of senescent broblasts in the wound area thus probably contributes decisively to the chronic course [17]. Table2 summarizes sev­eral factors inuencing wound healing (Table2).
Table 2 Extrinsic and intrinsic factors with inuence in wound healing
Extrinsic factor Intrinsic factor Radiation Indirect gen
defects Mechanical stress Collagen diseases Nutrition Ethnicity Thermal damage Metabolic stress Medication (e.g., cyclooxygenase
inhibitor)
Chronic
inammation
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Wound Healing in Old Age
Aging skin is more vulnerable overall and wound healing is delayed [12]. Certain diseases (e.g., chronic venous insufciency, arterial perfusion disorders), comorbidities (e.g., cardiovascular insufciency, diabetes mellitus), medication (e.g., anti-inammatory drugs), and the manifold structural and functional changes in aging skin increase the risk of developing chronic ulcers. The skin of the elderly is thinned in all layers, has fewer cells, and is rareed at the function-bearing structures. There is a slower turnover of epider­mis, the mitotic rate is reduced, and the re­epithelization of wounds takes about twice as long. The sawtooth prole of the dermo­epidermal junctional zone is leveled, and the rete cones atten or disappear. This leads to increased mechanical vulnerability to shear trauma, ten­dency to blistering, and poorer nutritional condi­tions of the epidermis. Parallel to the general weakening of immune competence, the Langerhans cells of the epidermis decrease by about 50% with age. Inammatory and immune­mediated reactions are slower and milder. Rarefaction of all components also occurs in the dermis. The percentage of senescent broblasts with low proliferation increases. In addition, there is an altered composition and reduced qual­ity of ECM proteins. Reduced tissue turgor and lower tensile strength are the consequences. The vascular system is also massively affected by the aging process: Dilatation and wall rigidity of postcapillary venules lead to telangiectasias and hemorrhages after trivial trauma. The number of capillaries dwindles and there is a loss of up to 30% of the cumulative cross-section [15].
Hyperspectral Imaging as a Measurement Method for Skin, Tissue Wounds, and Scars
Compared to other optical measurement meth­ods, hyperspectral imaging (HSI) simultaneously enables the acquisition of information about bio­chemical, structural, and physiological functional properties of the measured volume. This is lim-
ited in the usual spectral range of 400–1000nm in skin and similar perfused tissue to a depth of approx. 5–8 mm [44, 45]. However, HSI, as a non-contact measurement method, allows rela­tively large-area imaging in a relatively short time (a few seconds), so that not only highly localized samples can be measured, but also, for example, the blood ow quality of larger areas can be determined.
The measurement of biochemical properties is essentially based on the different absorption behavior of different components. The strongest shape imprinting is given to the remission spec­trum by the absorption of hemoglobin [39, 45, 46].
Structural features, such as the different layers of the skin, are essentially imprinted in the remis­sion spectrum by the scattering of the incident light and the different penetration depths depend­ing on the wavelength.
Physiological-functional properties, primarily blood ow, can be recorded and evaluated via the absorption of hemoglobin in conjunction with the structural features [46].
The remission spectra show a complicated nonlinear dependence on the system structure and the system parameters due to the different volume fractions of various components (melanin, colla­gen, hemoglobin, etc.) depending on the depth (layer structure of the skin) and the paths of the light through the layers to remission caused by scattering. The spectra are heterogeneous depend­ing on the wavelength, i.e., spectral components of different wavelengths refer to different mea­surement volumes. This dependence prevents almost in principle an unambiguous solution of the inverse problem, i.e., the computation of sys­tem parameters from the spectra [4648].
In practice, mostly simple system models are assumed, which allow the calculation of parame­ters from the spectra, but which, with respect to the real structure, represent more or less strongly averaged and only very limited comparable values.
Models based on Monte Carlo simulations of the remission by more realistic structures are in principle more appropriate, but the inverse deter­mination of the model parameters is also here a process that cannot be solved unambiguously,
500
1000 nm
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since an adjustment to the current actual structure is hardly possible.
An alternative method is based on a descrip­tion of the remission process by a reasonably realistic skin model (six layers with all relevant components) and a modeling based on a 3D cablelike description supported by MC simulations.
Again, the model imposes a limitation on the determination of real physiological param­eters, but the advantage is the consistency of the transformation of the spectral information into the model parameters, which allow a com­plete reproduction of the actual spectra by the model.
This practically does not mean a physically strictly correct solution of the inverse problem, but a consistent transformation of the informa­tion content of the spectra into a parameter space, which at least allows an interpretation of the parameters much closer to physiology (example: Perfusion proles charts).
From the modeling, so-called perfusion pro­les (depth proles) for the relative volume frac-
tion of hemoglobin (vHb) and oxygen saturation (xHbO2) can be displayed to assess the perfusion conditions corresponding to the six layers of the skin model. The depth axis does not correspond to an actual depth or the layer thicknesses; the relative scaling of the vHb values against each other is globally xed. In addition, the relative volume fraction of water (vH2O) is also deter­mined [4649].
vHb as an index parameter is scaled from 0 to
2.5; xHbO2 means the percentage of oxygen (0.0.100%) and ranges from [0.0.1] (Figs. 4, 5, and 6).
Microcirculation
Due to its limited penetration depth, HSI mea­sures properties of the skin’s microcirculatory system in the 400–1000nm spectral range.
The microcirculation is the area where the metabolism between the blood and the surround­ing tissue takes place. Thus, for the supply of the tissue, this is crucial. The macrocirculation, of
Fig. 4 Normal circulation
Fig. 5 Venous hyperten-
sion: increased deep t-vHb, reduced xHbO
2
vHb
0.93
0.79
1.05
1.03
1.70
vHb
0.77
1.04
1.80
0.99
0.96
xHbO2
0.27
1.18
1.20
0.27
xHbO2
0.38
0.30
0.38
0.41
0.48
0.63
0.60
0.77
0.77
0.61
22
0.71
0.67
0.84
0.12
0.43
vHb
0.84 0.71 0.67 0.84 1.78 1.76 0.12 0.12 0.16 0.43 0.61 0.61
xHbO2
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Fig. 6 Arterial hyperten­sion: reduced supercial vHb, increased deep-vHb, esp. supercial severe reduced xHbO
2
0.84
1.78
1.76
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0.61
0.61
course, ensures adequate inow and outow of blood. Essential for the assessment of tissue sup­ply is thus the ratio of micro- to macrocircula­tion: how much blood/oxygen is brought in and is available in the capillary, arteriolar and venular systems, how much of it is consumed.
In general, it is important to detect microcircu­latory disturbances even before the onset of tissue damage, e.g., due to a reduced oxygen supply.
Averaged oxygen saturations (tissue oxime­try) or pure ow values (LDI) are inadequate or at least suboptimal for a differentiated assess­ment of microcirculation.
More adequate model-based evaluations (see above) allow a more advanced structural repre­sentation of perfusion properties, e.g., perfusion values (relative volume fraction and oxygen satu­ration of hemoglobin in a six-layer model of the skin). This results in so-called perfusion (depth) proles, which can serve as an information- rich and specic basis for the analysis and evaluation of skin perfusion [48, 49].
Evaluation of the Measurement Results/Parameters
Global quantitative assessment of microcircula­tion at least of the skin is very difcult. Numerous adaptation and control mechanisms lead to a high variation of measured blood ow parameter val­ues on the skin, both inter- and intrapersonally, dependent on time and situation. Globally, the
range for “normal values” strongly overlaps with that of patients with “circulatory disorders.”
Global parameters are also difcult to achieve because penetration depths or measurement vol­umes vary for different skin types and locations. Temporal singular measurements do not account for variation in blood ow due to vasomotion rhythms, for example, comparable and scalable parameters can be determined by spatial or tem­poral relativity, by response to provocations or to treatments [4850].
Evaluation of heterogeneous spectra in terms of measurement depth with the determination of perfusion proles allows at least evaluation of the relative ratio of depth to surface perfusion.
HSI Measurements on Chronic Wounds
Inadequate perfusion and tissue supply is a sig­nicant factor in the development of hard-to-heal chronic wounds. This is often due to a systemic or regional circulatory disorder, i.e., insufcient supply of arterial blood to certain areas and the resulting insufcient quality of microcirculatory perfusion and oxygen supply to the tissue, which favors wound development. In the wound that then develops, the same factors ensure a signi­cantly impaired healing process.
In addition to the treatment and improvement of the basic blood circulation problem, the regu­lar control of skin blood circulation in high-risk
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patients (diabetes, PAVK, nursing patients with low mobility) can help prevent the development of wounds, especially in the known localiza­tions. For this purpose, HSI represents a simple measurement method that is not burdensome for the patient and that can reliably detect deteriora­tion of the condition and preliminary stages of wound formation (via the formation of local edema and inammation) by measuring large areas and observing the course of values over time [4447, 49].
The HSI evaluation generates perfusion parameters of the upper skin layers, which are well comparable and meaningful, at least rela­tively over time. Increased vH2O values (relative volume fraction of water in the tissue) are often also conspicuous in such patients [50].
In the treatment of already existing wounds that are difcult to heal, ensuring sufcient blood ow and oxygen supply, at least in the wound area and the wound environment, is an important factor among others. Here, too, the regular mea­surement of the wound area and the wound envi­ronment by means of HSI can generate decisive information on the current and temporal develop­ment of the blood ow quality.
In addition, evaluation of the shape characteris­tics of the remission spectra, which correlate with certain biochemical features, enables qualitative and, in some cases, quantitative determination of relevant wound components (various tissue types, such as necrosis, brin, critical, undersupplied tis­sue, granulation, epithelialization). Using these spectral features and imaging, an exact segmenta­tion and classication of the wound area are possi­ble, resulting in an overall comprehensive objective
description of the wound and wound progression, which allows optimization of wound treatment and thus wound healing via analysis of the objectied and quantied response of the wound to various treatments. The advantage over the imprecise, indi­vidually different visual wound assessment by the physician is the availability of objective parameters which cannot be determined in a similar way with any other methods at present and which allow a much earlier assessment and evaluation of the wound process [45, 47, 48] (Figs. 7, 8, and 9).
Excessive scarring, consisting essentially of collagen structures, is characterized by low supercial perfusion values and the clear expres­sion of collagen in the spectrum (Fig. 10). An improvement by treatment, which leads to the degradation or remodeling of the scar tissue with an increase in perfusion, can be observed and controlled by means of the perfusion proles over time as well as the change in the individual collagen types.
Fig. 7 Keloid after burn 15years before with several s­tula with infection
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Fig. 8 HIS show the pathological perfusion and oxygenation, important for planning any kind of intervention and controlling the postinterventional effects in short time and long time follow up
500 1000 nm
xHbO2vHb
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Fig. 9 Detection of microbiological burden in the spec­trum from 390 to 430nm, important for local removement and short time and longtime follow up
Fig. 10 Strong scar tissue: collagen input is essential in the front part of the spectrum, the determination of the blood
Scar: collagen
ow is only possible below the scar tissue in the depth
1.10 1.14
0.67 0.68
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