Significance: The method of photobiomodulation (PBM) has been used in medicine for a long time to promote anti-inflammation and pain-resolving processes in different organs and tissues. PBM triggers numerous cellular pathways including stimulation of the mitochondrial respiratory chain, alteration of the cytoskeleton, cell death prevention, increasing proliferative activity, and directing cell differentiation. The most effective wavelengths for PBM are found within the optical window (750 to 1100 nm), in which light can permeate tissues and other water-containing structures to depths of up to a few cm. PBM already finds its applications in the developing fields of tissue engineering and regenerative medicine. However, the diversity of three-dimensional (3D) systems, irradiation sources, and protocols intricate the PBM applications. Aim: We aim to discuss the PBM and 3D tissue engineered constructs to define the fields of interest for PBM applications in tissue engineering. Approach: First, we provide a brief overview of PBM and the timeline of its development. Then, we discuss the optical properties of 3D cultivation systems and important points of light dosimetry. Finally, we analyze the cellular pathways induced by PBM and outcomes observed in various 3D tissue-engineered constructs: hydrogels, scaffolds, spheroids, cell sheets, bioprinted structures, and organoids. Results: Our summarized results demonstrate the great potential of PBM in the stimulation of the cell survival and viability in 3D conditions. The strategies to achieve different cell physiology states with particular PBM parameters are outlined. Conclusions: PBM has already proved itself as a convenient and effective tool to prevent drastic cellular events in the stress conditions. Because of the poor viability of cells in scaffolds and the convenience of PBM devices, 3D tissue engineering is a perspective field for PBM applications. |
1.IntroductionPhotobiomodulation (PBM) is a nonthermal process that utilizes nonionizing forms of light sources, including lasers, LEDs, and broadband light in the visible (400 to 750 nm) and infrared range (750 to 1100 nm).1,2 The process of PBM of biological objects is usually referred to as an irradiation.3–5 Historically, the PBM application in clinics began earlier than any clinical trials, in vivo or in vitro tests on this method. The PBM effects themselves were first discovered in 1967 by Endre Mester while he was trying to treat an advanced melanoma in one of his patients.6 Intrigued by the results of laser irradiation being opposite to those expected, Mester continued his experiments on mice—and his works are the first known confirmation of the PBM effects.7 Nowadays, PBM is widely utilized for various clinical and therapeutic applications. PBM in the red and NIR ranges have proven itself to be beneficial for the repair of cartilage and bone defects,8,9 a wide range of neuronal disorders,10 and is also capable of resolving pain, decreasing inflammation, and accelerating healing.11–13 Currently, there are more than 600 registered clinical trials related to PBM, and more than half of them have been successfully completed. The trials based on the PBM include various conditions, such as postoperative wounds, chronic pain, skin diseases, and more (details are provided in Table 1). Based on this clinical research, PBM devices using both lasers and LEDs have been cleared for marketing by FDA.14–16 Table 1Completed clinical trials on PBM.
The use of PBM in clinical practice was followed by gradual understanding of its mechanisms. Cytochrome С oxidase (CCO) is considered the main target of red and NIR light in a cell. PBM can influence on oxidative processes in cells, ATP production, calcium waves, and other processes associated with the mitochondria metabolism. The second messengers, such as NO, ATP, ROS, and , are activated via the redox changes of the mitochondrial electron transport chain.17,18 This leads to the upregulation of various cellular pathways, linked to cell proliferation, differentiation, metabolic changes, antiapoptotic, or anti-inflammatory effects.19 With developing methods of cell biology, a deeper understanding of the PBM effects and mechanisms becomes possible. Moreover, the upcoming fields of regenerative medicine and, in particular, tissue engineering (TE), provide a new platform for the PBM application. As mentioned above, the therapeutic range of PBM wavelengths (600 to 1000 nm) is conditioned not only by the cellular susceptibility but also by the light penetration properties. The so-called optical transparency window allows PBM to permeate hydrated tissues, scaffolds, and hydrogels with high efficacy.20,21 In the last decades, the scope of such 3D cultivation systems’ application in the fields of biology and medicine has been constantly expanding. Scaffolds and hydrogels gradually replace classic monolayer cultures when used as drug screening platforms, native tissue models, or clinical products. 3D systems have several crucial advantages over 2D cultures, notwithstanding limitations reducing their applications. Biomaterials with required mechanical properties often can affect cell viability due to the restricted diffusion, mechanical and nutritional stress. Therefore, effective and convenient approaches to maintain the viability of 3D tissue-engineered constructs are of great interest. The PBM technique is noninvasive and does not require direct manipulations of scaffolds or cell media. Light penetrates hydrogels in the range of the most commonly used thicknesses easily. Furthermore, with the development of LED sources and semiconductor lasers (LD, laser diodes), the precise technical characterization of the applied light becomes available. Such LED and LD sources often represent mobile, compact, and controllable devices. These advantages allowed LEDs and LDs to be applied in the upcoming bioprinting approaches. Most of the existing extrusion bioprinters have ultraviolet light sources to perform the photocrosslinking of printed constructs. The practical convenience of these devices should be noted here, because bioprinting requires an accurate dose and duration of irradiation in the conditions of limited space and time. As can be seen from the diversity of both commercial and original extrusion bioprinters, LEDs and LDs match all these demands successfully. Furthermore, the supplementation of a 3D bioprinter with a red or NIR light source for PBM of cells during the printing will cause no technical issues. Several studies have already shown the potential of PBM for a better scaffold’s integration in the host tissues,22 promotion of vascularization,23 and as a preconditioning method for cell therapy.24,25 All these factors make it rational and effective to use red and NIR light with optical transparent scaffolds laden with weakened cells. However, due to the diversity of PBM sources and parameters, cell types, scaffold compositions, and geometries, it is hard to predict whether the chosen combination of factors would be effective or not. In this review, we aim to define the key points regarding PBM of cells in 3D scaffolds for outlining the optimal strategies of PBM application in TE. We first define the main limitations of 3D cell cultivation systems and some PBM properties, which can help to overcome these limitations. Next, we describe the optical properties of tissue-engineered constructs and available sources and parameters of PBM. Finally, we discuss the main mechanisms and cellular pathways triggered by PBM and the following outcomes of PBM of cells in scaffolds to define promising strategies for the cell survival stimulation in 3D scaffolds. 2.Tissue-Engineered Constructs: Promises and LimitationsTo date, tissue-engineered constructs consisting of scaffolds and cells represent one of the foremost branches of regenerative medicine. 3D cultivation systems offer the in vivo-like conditions for cells due to the presence of extracellular matrix (ECM), cell–ECM contacts, mechanical signals, and nutritional and chemical gradients.26–28 These systems are applicable for native tissue modeling, disease mechanism investigation, drug screening, and cell therapy.29–35 However, various 3D systems often have drawbacks such as restricted diffusion and lack of vascularization, which can lead to hypoxia, nutritional stress, and cell death.36,37 2.1.Altered Diffusion of Macromolecules and Oxygen in Tissue-Engineered ConstructsDiffusion coefficients of molecules can vary depending on the diverse scaffold’s features. First of all, the molecule size, scaffold-building proteins’ concentration, and the rates of cell metabolic activity should be mentioned.38 The diffusion transport is also defined by the structural properties of the scaffold, such as the porosity, pore size, overall linear size, tortuosity, microcavities, and geometrical features.39 The average diffusion coefficients of dextran in human skin are for 500 kDa and for 40 kDa.40 As for macroporous scaffolds, the diffusion coefficient of small molecules (oxygen, glucose, calcium, phosphates) is typically around to , and for the larger ones (molecular weights 4.4 kDa to 2 MDa) it lies in the range of to .41–43 As observed in Ref. 38, the diffusion coefficient of oxygen in different biomaterials varies from 0.24 to , whereas in water it is . Some studies, however, show that the extracellular matrix does not restrict diffusion of small molecules.44 According to Ref. 38, the determining factor for the oxygen level inside a construct is not the polymer concentration, but the cell density. The oxygen consumption in a 3D construct is influenced by the monolayer cell culture properties before seeding onto a scaffold. Cells cultured under low confluency consume oxygen rapidly, which causes the oxygen level to drop to almost zero 8 to 10 h after the inoculation.45 An appropriate oxygen level is one of the crucial conditions for the normal cell physiology. Usually, cells are cultivated in normoxia (21% oxygen), although the in vivo oxygen level is considered to be around 5% to 8%.46,47 Low oxygen tension has been shown to maintain an active state of stem and progenitor cell populations.48 On the other hand, the lack of oxygen in a tissue-engineered construct can reduce the cell viability.38,41,49 Typical oxygen diffusion distances in the tissues are restricted to 100 to .50 In case of exceeding this value, after a few days of cultivation, the oxygen levels inside the scaffold drop dramatically, which causes cell death.51 Some of the authors consider glucose levels and not oxygen the main limiting factor.52 Average diffusion distances for such metabolites as glucose are in the range between 5 and .50 The restricted diffusion is aggravated by the lack of vascularization. Cells in a construct can be distanced as far as a few millimeters from the closest capillary, whereas in native tissues these distances do not exceed 20 to .53 In a static culture conditions, parts of tissue-like constructs outlying the surface more than 0.5 to 1 mm contain only dead cells.54 If the depth of a construct goes beyond 100 to , the cell viability drops significantly due to the nutritional stress and oxygen deprivation55–57 (Fig. 1). Such expansive cell death is considered to be one of the major reasons for transplantation failures.61,62 2.2.Approaches to Stimulate Cell Survival in Tissue-Engineered ConstructsNumerous approaches have been developed to maintain viable 3D cultures. Some of them aim at enhancing the nutrient supplementation via the formation of microchannels, utilization of bioreactors, additional oxygen carriers, hyperbaric oxygen, cocultures of endothelial cells, whereas others stimulate cell growth and survival with growth factor incorporation, hypoxic priming, and preconditioning.36 Preconditioning usually implies a soft stress (hypoxia, acidic conditions, and nutrient deprivation), which allows cells to adapt to the subsequent unfriendly environment (observed in Ref. 63). Hypoxia stabilizes HIF- (hypoxia-inducible factor-), which is responsible for cell proliferation, differentiation, migration, survival, glucose adjustment, and vascularization.64 Some metabolites, such as low concentrations of and NO, can be used as preconditioning agents against the oxidative stress.65,66 Mechanical stimulations—pressure, compression, and exposure to sonic waves—were shown to enhance chondrogenic differentiation.67 By mimicking the damaged tissue environment, the acidic conditions can stimulate cell survival, migration, and vascularization.68 Light preconditioning has already been utilized to increase the retinal cells’ resistance to the light stress.69 Moreover, PBM can act as a preconditioning agent for the other stress conditions, such as inflammation or apoptosis.24,25,70 Due to the involved mechanisms and achieved effects discussed in details below, PBM could be another relatively new method applied for cell preconditioning in 3D systems. Falling in the optical transparency window, the PBM of red and NIR spectrum can surpass the threshold diffusion distances (Fig. 1). Cells in the depths more than undergo the stress, and therefore can be more susceptible to the PBM.71,72 Applying light to the 3D scaffolds allows to trigger cell pathways and increase survivability, implant integration, etc. For instance, NIR light successfully applied to promote integration of bone grafts in periodontal areas, skull, and osteoporotic cartilages.22,73,74 Even more, the vascularization of model 3D hydrogel cultures and spheroids was shown, indicating the PBM ability to provide a functional interaction between implanted graft and host tissues.23,75,76 PBM is already used in clinical practice to resolve chronic pain and enhance wound healing (Table 1), proving the possibility of PBM devices certification for specific purposes. Therefore, it became clear that PBM might be a promising approach to enhance the viability of cells in a 3D system. 3.Photobiomodulation and Scaffolds: Intersection Points3.1.Irradiation Parameters and Light Sources for PhotobiomodulationThe biological response to PBM strongly depends on the irradiation parameters, such as the wavelength, intensity (power per unit of irradiated area), and dose (energy per unit of the irradiated area, which can be defined by the intensity multiplied by exposure time).17,77 The outcome of PBM depends on the wavelength chosen. For instance, wavelengths of 623, 672, 767, and 812 nm were shown to stimulate the DNA synthesis,78 whereas 915 nm had no effects on the proliferation of the MG63 cell line.79 The dependence of the PBM effectivity on the intensity or dose can be described by the Arndt–Schultz law of biphasic intensity and the dose response.80 Cell growth can be enhanced in the narrow range of rather small doses (), whereas higher doses usually suppress the cell metabolic activity.81,82 The majority of the authors note that PBM effects do not depend on the coherency of the source.83,84 While it is generally the case that LED devices are considered safer to use than lasers and can be less expensive,85,86 with the development of electronic devices/semiconductor materials, a wide variety of semiconductor lasers (LD) appeared on the market, which, like LEDs, are cheap, easy to operate, and make it possible to create matrices for irradiating large areas and miniature wearable devices. 3.2.Optical Properties of Tissue-Engineered Constructs and ScaffoldsAn important feature defining the noninvasive properties of PBM is the transparency window, characterized by the penetration depths (Fig. 2). The penetration depth in tissues and scaffolds can be defined as the light path at which the intensity of the light becomes 1/e of its initial value. The light with wavelengths between 600 and 1300 nm is only slightly absorbed by water and therefore can penetrate tissues to depths up to a few centimeters.20,21 The average penetration of transcranial red/NIR light (630 to 810 nm) is up to 70% in mice and up to 10% in humans.10 The majority of scaffolds (especially hydrogels) are extensively hydrated, and consequently, they are almost transparent in visible and NIR spectral regions. However, light penetration can be significantly impacted by the tissue absorption and scattering, with the degree of reduction depending on wavelength used.87 Following the tissue architecture and light source parameters, light penetration can be restricted to 10 to 50 mm.88,89 Therefore, the exposure level for cells located in a 3D scaffold will be altered due to the light absorption and scattering in the scaffold volume. On average, the light intensity or power density is reduced with the scaffold depth. A strong difference may result in a partial exposure of the cells beyond the “therapeutic range” of PBM. To evaluate this effect, it is important to know the light intensity distribution throughout the entire scaffold’s volume.90 The ability of a medium to absorb and scatter photons can be described using an absorption coefficient and a scatter coefficient . These coefficients are defined by the probability that the photon will be absorbed or scattered along the infinitesimal path section . The mean-free path for an absorption event is , and the mean-free path for a scattering event is .91 The intensity of the initially collimated beam of light (a thin beam where photons propagate in parallel) is considered to exponentially decrease with the increasing sample depth depending on the Beer–Lambert’s law: where is the reflection coefficient from the sample surface, is the relative average refractive index of the sample and the environment, is the incident light intensity, is the total attenuation coefficient, and is the depth.Equation (1) represents a single-scattering approximation and is correct when . Nevertheless, in tissues and scaffolds, the opposite relationship is observed: since scattering significantly predominates over absorption in the visible and NIR spectral regions. In that case, the intensity of a wide laser beam of the incident intensity at depths in a thick tissue may be described as where is the effective attenuation coefficient, is the reduced (transport) scattering coefficient, is the scattering anisotropy factor (mean cosine of the scattering angle), and accounts for the additional irradiation of the upper layers of a tissue due to backscattering (photon recycling effect).92In real cases, wide laser beams are used for PBM of highly scattering tissues with low absorption. As a result, continuous light energy is accumulated in the tissue due to the high multiplicity of chaotic long-path photon migrations. The light intensity within the superficial zone of the tissue may substantially (up to five times) exceed the incident intensity .93 The cells, therefore, are exposed to various doses of PBM depending on their position inside the scaffold. It should also be noted that the intensity distribution within a tissue or scaffold depends not only on the sample’s optical properties and the light wavelength but also on the illumination geometry.94 However, in the actual case of a biological tissue or scaffold, the light scattering coefficient significantly exceeds the absorption coefficient, and the Beer–Lambert law could not be applied correctly. In this case, a more relevant mathematical description is the diffusion approximation to the radiative transfer equation. 95 The diffusion theory provides a good approximation for small scattering anisotropy factor , whereas for many tissues to 0.9 and can be as large as 0.990 to 0.999 for blood. It should also be noted that the diffusion approximation does not allow one to describe boundary effects. This significantly restricts the applicability of the diffusion approximation.95 For modeling photon migration in turbid media, especially in bio-optical imaging applications, the Monte Carlo calculation method can be effective.95,96 Random migrations of photons inside a sample can be traced from their input until absorption or output occur. Using the given initial and boundary conditions, as well as the known optical characteristics of the material, this method makes it possible to calculate the distributions of light intensity and absorbed energy in samples of polylactide scaffolds and tissues.90,95,97 Unfortunately, Monte Carlo-based photon migration is significantly limited by the low computational efficiency. With the growing incident beam diameter, (initial intensity) increases, leading to higher (intensity inside the scaffold). Thereby, cells in the volume of the scaffold are irradiated more evenly. Accordingly, light sources with larger apertures are more suitable for medical purposes. Lasers emit a narrow-band monochromatic light with full width at half maximum . In that case, a system of lenses or telescopic beam expanders are required for the light beam expansion.98,99 An LED (nonmonochromatic light with FWHM often in the range of 20 to 50 nm) or LD (monochromatic light with ) are an alternative here. These semiconductor sources usually have a small area () and LED/LD matrices or integrated optical components may be used to shape its radiation pattern.100–102 LED and LD matrices are also more efficient for homogeneous irradiation of large areas, but, without special shapers, light intensity from laser devices often has a Gaussian shape with a maximum irradiance at the center and decreased irradiance on the periphery. It is known that the efficiency of PBM, in addition to other parameters, significantly depends on the wavelength of light.103,104 In the case of a biological tissue or scaffold, this relation is also superimposed on the wavelength dependence of the distribution of intensity and absorbed energy inside the medium. Therefore, in a real case, the efficiency with which light causes biochemical changes in the volume of biological tissue will significantly depend not only on the illumination (light intensity) on the “input” surface of the object but also on the selected wavelength. Thus, precisely controlling the PBM parameters is crucial to predict the cell behavior, especially in the presence of a 3D scaffold. Although the majority of hydrogels are optically transparent to red and NIR wavelengths, light scattering can disturb the uniformity of the PBM exposure. In such cases, LED or LD sources are favorable, representing a simple, flexible, and reproducible system for the cell physiology stimulation. 4.Cellular Mechanisms of PhotobiomodulationThe PBM mechanisms have been investigated for a long time; however, there is still no clear understanding on all the PBM pathways. The reason for that lies in a high variability of applied PBM parameters, biological objects used, and cell environment influencing on light delivery. In general, a long list of PBM targets exists, including cell surface channels and receptors, mitochondrial chromophores, and extracellular enzymes reviewed in Refs. 18 and 72. Targets, such as transient receptor potential channels, cryptochromes, and opsins, are usually react with light in green and blue spectrum. Antioxidant enzymes, namely glutathione, superoxide dismutase, and catalase, are often present in the tissue extracellular space and can be activated or inhibited in response to PBM to reduce inflammation.105–107 Here, we focus on the red and NIR PBM mechanisms connected to the mitochondrial chromophores since this pathway represents the most interesting for cells in 3D structures. 4.1.Primary Acceptors of Red and Near Infra-Red Light in a CellCCO in the mitochondrial electron transport chain is considered the most essential acceptor of red and NIR light in cells.18,108 This complex is responsible for the electron transfer from cytochrome c to molecular oxygen and can modulate redox processes in the cell.18 CCO, or complex IV, contains light-absorbing heme and copper centers.109–111 4.2.Secondary Messengers Activated by LightThe initial biochemical processes initiated by red or NIR light relate to CCO itself. In the conditions of the oxidative stress or inflammation, iNOS (inducible NOS, type II NOS) is assembled to produce nitric oxide (NO).112 NO acts as an antioxidant, controlling free radical levels in the lipid peroxidation processes, relaxes blood vessels’ walls, regulates enzymes, induces endothelial cell differentiation and modulates inflammation.109,113 NO can bind to CCO and reversibly inhibit it, which results in reduced mitochondrial respiration.114,115 PBM can induce photolysis of the CCO–NO complex, leading to the CCO release and stimulation of the electron transport chain activity116 followed by the mitochondrial membrane potential increase, which facilitates production of ATP, ROS, and accumulation of .108 Moreover, photoproduced NO can take part in the regulation of the cellular pathways. After the PBM-induced and CCO-mediated stimulation of the mitochondrial electron transport chain, mitochondria can convert more oxygen molecules () to reactive oxygen species (ROS), such as a superoxide radical ().117–119 High concentrations of ROS are harmful to cells, however, small amounts can regulate the cell physiology.120 4.3.Cellular Pathways Triggered by PhotobiomodulationOne of the most pronounced metabolic effects of PBM is the increased ATP production.117 ATP, as a source of energy, maintains the cell metabolism by itself and is also implicated in the protein and DNA synthesis, gene expression, and stimulation of the ERK1/2 pathway. PBM often increases the concentration of intracellular due to its release from the intracellular stores.121,122 Intracellular calcium takes part in the cell cycle regulation, cytoskeleton changes, and activation of the cellular pathways, for instance, changes in the concentration is an important mitogenic signal.123 NO, ATP, , and ROS, as secondary messengers, are involved in various cellular pathways, leading to a wide range of downstream effects (summarized in Fig. 3). These effects include increased proliferation (via the MAPK11 cellular pathway), resistance to the oxidative stress, antiapoptotic processes, respiratory chain regulation, and DNA repair.124 Many PBM-inducible pathways are related to redox processes and therefore ROS production. NF- (nuclear factor kappa B) is one of these; it regulates numerous physiological processes, such as apoptosis, differentiation, proinflammatory genes expression, and responses to the oxidative stress.125 ROS-dependent NF- activation triggers epigenetic mechanisms via histone acetylation.126 Other pathways activated by changing the redox status include protein kinases, growth factors, chemokines, and more.127 Activation of ROS-dependent processes is restrained by the level of antioxidants, in particular.128 Depending on the PBM parameters, cell type and its redox status, external conditions, and other factors, cells can respond to light in different ways. One of the most frequent effects of PBM is stimulation of proliferation. It has been shown on different cells subjected to various PBM conditions. This effect is wavelength-dependent; stimulation of proliferation was observed only for red and NIR light but not for green and blue light of the same intensity.117,129 Cell proliferation was driven by PI3K/PKB, PI3K/Akt, Ras/Raf/ERK, PKC, Notch-1 pathway activation or D1, E, and A cyclin expression.130,131 Usually, these processes are mediated by signaling. Differentiation is an in vitro effect of PBM opposite to proliferation. The most often applied treatment involves a combination of PBM with classical differentiation inducers and results in earlier expression of specific markers.132,133 The high efficacy of PBM was shown for endothelial differentiation due to the eNOS stimulation and NO formation.134 Another beneficial feature of PBM is the ability to inhibit apoptosis, primarily via the modulation of the Bcl-2 and Bax protein expression.135,136 Besides the biochemical outcomes of PBM, it can be involved in the regulation of the mitochondrial fusion and fission balance. Fusion provides protection from the nutritional and oxidative stress, autophagy, apoptosis, and mitochondrial mutations.137 Excessive fission or fragmentation can lead to reducing the respiratory activity and is involved in the apoptosis initiation.138 PBM was shown to increase the expression of MFN2, one of the proteins responsible for mitochondrial fusion.139 5.PBM for Tissue Engineering and Regenerative MedicineThe first issue to be addressed regarding PBM applications is its variety depending on different types of cells. For instance, human bone marrow-derived mesenchymal stem cells and adipose-derived stem cells (hASCs) respond oppositely to the equal PBM exposure. In the first case, proliferation intensifies, whereas in the second case, cell viability is reduced.140 The composition and structure of the utilized 3D systems should also be considered when choosing the proper cell type and PBM mode. For example, one should expect the osteogenic differentiation in rigid mineral-containing scaffolds, the neural differentiation in soft hydrogel systems, and the angiogenic differentiation in fibrin-based hydrogels.141–144 One of interesting PBM effects, which can be of great practical importance, is its protective ability. It was reported in neurotraumas and neonatal hypoxia-ischemia.24,145 PBM is mentioned to involve preconditioning mechanisms similar to ischemia, hyperthermia, hypothermia, and hyperbaric oxygen and is associated with increasing ATP levels, preventing mitochondrial fragmentation and cytochrome c release.24,25 The PBM effect is most pronounced in weakened cells cultured under nutrient- and growth factor-deficient conditions, which are usually modeled by reducing the serum concentration in the medium.146–149 The morphology, physiology, and behavior of cells in scaffolds are determined by the chemical structure of the material, the local topography, architecture, and mechanics of the scaffold.150 All of these scaffold properties can either enhance or silence the PBM effects.151 Despite the overall heterogeneity of the PBM parameters reported in papers, some general principles can be revealed. Most of the research is aimed at the stimulation of cell proliferation (to reach a high cell density prior to transplantation of the tissue-engineered construct) or differentiation (to integrate the construct in the host tissue). The transition between proliferation and differentiation is a crucial moment for the cell physiology and can be regulated by PBM.152,153 Unfortunately, the precise combinations of cell type and particular PBM mode for the specific purpose (e.g., activating proliferation or directing differentiation) are absent now. However, it is known that PBM effects depend on cell type, namely redox systems of the cell.72,154–156 A recent study has shown the different dynamics and effects of the same PBM mode applied to normal fibroblast or cancer cell lines.157 The presence of varying metabolic pathways, such as prevailing glycolysis in cancer cell lines, drastically changes the final PBM outcome. Rupel et al. showed that the redox state of the cell can determine the levels of ROS production in cells in response to PBM.103 Altered mitochondrial state, e.g., caused by exposure to specific mitochondrial complex inhibitors, leads to the various responses. Different inhibitor concentrations either stimulate mitochondrial activity or decrease it even more depending on inhibitor concentration.71 Moreover, even the amount of mitochondria in cell was connected to observed variabilities in PBM effects.158 Therefore, the careful choice of cell source, cell type, culturing conditions, and PBM parameters are crucial to predict the cell behavior following PBM. 5.1.Light-Induced Cellular Events Providing the Conditions for Effective Tissue Engineering5.1.1.Cellular proliferationCell proliferation is vital for tissue-engineered constructs to achieve viable structures. PBM was shown to maintain the MSCs cell cycle after implementation on a BMP-incorporated scaffold up to the sixth day of cultivation, which resulted in expanded mineral deposition.159 Similar results were reported in Ref. 160, where ADSCs seeded on an acellular dermal matrix were shown to proliferate and osseointegrate better after the exposure to 633 nm PBM. NIR PBM is also able to influence fibroblast proliferation through the activation of EGF expression.161 Both red and NIR PBM stimulate metabolic activity and proliferation of gingival MSC encapsulated in a fibrin hydrogel.101 It seems that PBM activates cell division in sufficiently soft scaffold systems, such as decellularized dermal matrices and hydrogels.160–162 5.1.2.Enhanced cellular differentiationNumerous studies are dedicated to the stimulation of bone regeneration using PBM, including the exposure of a damaged area without cells transplanted on a scaffold. The aim of PBM, in that case, is to stimulate host cells in bone defects and surrounding tissues. NIR light (730 to 830 nm) increases the efficacy of a titanium scaffold osseointegration in an osteoporosis model, skull bone reparation, and the engraftment of an autologous bone construct.22,74,163 PBM also helps to organize the surrounding connective tissues in the area of a bone matrix-fibrin construct implantation.164 Increased levels of transforming growth factor-beta (TGF-b), fibroblast growth factor-2 (FGF-2), osteoprotegerin (OPG), receptor activator of nuclear factor (RANK), osteocalcin (OCN), and BMP-9 in injured bone tissues after PBM were reported.165,166 In addition, PBM with the wavelength of 780 nm for a ceramic bone graft increased deposition of calcium hydroxyapatite and decrease of the organic components, which is important for healing of fractured bones.167 Similar results were observed for cell-loaded scaffolds. When irradiated with red PBM, MSCs differentiate in the osteogenic direction faster in the case of coralline biomatrices, PLGA scaffolds, and an agarose gel.168–170 Similarly to the findings discussed above, PBM with the wavelength of 780 nm accelerated the integration of a demineralized bone matrix graft in the periodontal area after alveolar reconstruction surgeries.73 Some works show that PBM increases the expression of odontogenic markers, such as DSPP, Osterix, RUNX2, BMP-2.153 Unlike for osteogenic and odontogenic cells, for neuronal cells, the most preferable 3D system is a hydrogel. It was shown that under the exposure to NIR PBM, embryonic neurons on a hyaluronic acid-based gel acquire adult neuronal morphology.171 PBM induces the neuronal differentiation and inhibits the glial differentiation of neural stem cells cultivated in a GelMA/PEGDA gel.172 Red irradiation combined with cross-linked gelatin loaded with ceramic particles is promising for nerve recovery. An increased nerve fiber diameter, myelin sheath thickness, and reduced muscle atrophy around the nerve was noted after PBM.173 A few works showed promoted vascularization of HUVECs and human ASCs cocultures in fibrin gels after red PBM.23 On the other hand, there are some data indicating that PBM has no influence on the angiogenic differentiation of endothelial cells.174 Both angiogenesis and dentinogenesis of the dentin-pulp complex were shown in a human tooth slice-based in vitro model for 810 or 660 nm light with a intensity.175 5.1.3.Anti-inflammatory effectsPBM effects on the inflammation processes were broadly studied in different animal models, e.g., burn injury, acute lung injury, and lung fibrosis. The levels of proinflammatory factors, such as TNF-, NF-kB, IL-6, IL-, decreased after red or NIR irradiation.176–179 It also has been shown that preconditioning with PBM results in reduced levels of proinflammatory cytokines after the induction of inflammation with LPS.70 The anti-inflammatory activity was revealed also for immune cells. For instance, in the model of lung fibrosis, PBM therapy resulted in reduced infiltration of immune cells into alveolar capillaries.179 NIR PBM was able to switch M1 (inflammatory) to M2 (anti-inflammatory) polarization of macrophages.180 Similar effects were shown for PBM in vitro: red irradiation induced the transcription of IL- and IL-6 mRNA and decreased that of IL-8 in a cultured analog of human skin.181 Although the data considering inflammation processes in connection with scaffolds are limited, there is a reason to believe in the effectiveness of PBM. First of all, PBM would be useful to reduce inflammation during transplantation. 5.1.4.Biopolymers organizationSince PBM can affect various signaling pathways, biopolymers undergo restructuring, subsequently altering cell behavior. Being both a dynamic structure and a crucial participant of cell signaling pathways, the cytoskeleton is the primary system of biopolymers responding to PBM. Red PBM was shown to induce the arrangement of F-actin molecules.133 Perhaps, this mechanism underlies the PBM-induced migration of cells within hydrogels.182 Similar effects were shown in respect to the ECM production. PBM leads not only to the collagen expression and synthesis161,182 but also to more organized aggregates in comparison to nonirradiated cells.22 The PBM effects in various conditions are summarized in Table 2. Table 2Parameters and effects of PBM in scaffolds.
ADSC, adipose-derived stem cells; BM-MSC, bone marrow MSC; DPSC, dental pulp stem cells; MSC, mesenchymal stromal cells; NSC, neural stem cells; HUVEC, human umbilical vein endothelial cells 6.PerspectivesThe main goal of TE is to create not only tissue-like but also fully functional structures. Although a wide range of 3D cell systems have been presented, they still lack the key features of the target tissue. The next step here is to arrange the complex architecture and cell-specific physiology. Systems such as cellular spheroids or cell sheets offer a list of advantages, including cell interactions, mechanical properties, cell phenotype preservation, etc.185–188 PBM could be beneficial in that case too: this approach has already been applied to spheroids, cell sheets, and organoids. 660-nm PBM induced a complex response in hASC spheroids, including HIF- upregulation, growth factor secretion, cytokeratin expression, angiogenesis, and vascularization in the ischemia model.75,76 Irradiated DPSC cell sheets expressed high levels of fibronectin and had epithelium-like cell phenotypes.189 These sheets also exhibited increased osteogenic differentiation.190 Moreover, the PBM ability to induce differentiation allowed triggering a specific direction of embryonic stem cell differentiation, which resulted in the successful formation of otic organoids.191 Although there is a restricted amount of such works, they are important in the context of the TE. Taking into account the beneficial effects often observed for cells in various 3D scaffolds reviewed here, the future research should be focused on the PBM utilization for the cell survival, proliferation, and differentiation in 3D scaffolds. As PBM devices are highly available, easy-to-use, tunable, and have been already certified for the clinical practice, the new combinations of biofabrication approaches with PBM are to be expected. However, it is still hard to predict the effects of PBM, especially in 3D systems, due to the different cell type and redox status, 3D scaffold composition, and optical properties. The PBM mechanisms involving light scattering and absorption should be clarified. However, despite all the variables, the current review suggests the high PBM potential in the field of TE, in particular for scaffolds and 3D bioprinting. Such techniques are favorable to resemble native tissue structure, but they face a few crucial limitations. Bioprinted cells suffer from shear stress, UV light during crosslinking, and temperature changes (Fig. 4). PBM sources are technically easy to introduce to bioprinters to deliver light to weakened cells in optically transparent hydrogels or scaffolds. Such modification of bioprinting approaches could increase the survivability of the scalable tissue equivalent. PBM has currently begun being applied in numerous fields of TE, and some researchers even propose PBM as a novel fourth component of the TE triad among stem cells, scaffolds, and growth factors.192 7.ConclusionTaken all together, scaffold-based tissue-engineered constructs and PBM complement each other. PBM stimulating wavelengths match with the optical transparency of a scaffold, and decreased cell viability after seeding in the scaffold is an object for the PBM preconditioning effect. PBM in the red and NIR ranges was shown to be effective for the stimulation of cell survival, proliferation, and differentiation in the conditions of various 3D systems. The careful selection of the PBM wavelength and intensity, coupled with the latest TE approaches, will lead to taking one step closer to creating functional and scaled tissue-like constructs. AcknowledgmentsResearch at Sechenov University was funded by the Ministry of Science and Higher Education of the Russian Federation under the Grant Agreement No. 075-15-2021-596. The authors thank Svetlana Kotova for the proofreading of the manuscript. The study was performed using the unique scientific facility Transgenebank. ReferencesJ. J. Anders, R. J. Lanzafame and P. R. Arany,
“Low-level light/laser therapy versus photobiomodulation therapy,”
Photomed. Laser Surg., 33
(4), 183
–184 https://doi.org/10.1089/pho.2015.9848
(2015).
Google Scholar
M. R. Hamblin, Y.-Y. Huang and V. Heiskanen,
“Non-mammalian hosts and photobiomodulation: do all life-forms respond to light?,”
Photochem. Photobiol., 95
(1), 126
–139 https://doi.org/10.1111/php.12951 PHCBAP 0031-8655
(2019).
Google Scholar
A. K. Burditt,
“Irradiation,”
Quarantine Treatments for Pests of Food Plants, 101
–117 CRC Press(
(1994). Google Scholar
R. Fekrazad et al.,
“Effect of photobiomodulation on mesenchymal stem cells,”
Photomed. Laser Surg., 34
(11), 533
–542 https://doi.org/10.1089/pho.2015.4029
(2016).
Google Scholar
R. Yin et al.,
“Light based anti-infectives: ultraviolet C irradiation, photodynamic therapy, blue light, and beyond,”
Curr. Opin. Pharmacol., 13
(5), 731
–762 https://doi.org/10.1016/j.coph.2013.08.009
(2013).
Google Scholar
A. MesterA. Mester,
“The history of photobiomodulation: Endre Mester (1903–1984),”
Photomed. Laser Surg., 35 393
–394 https://doi.org/10.1089/pho.2017.4332
(2017).
Google Scholar
E. Mester et al.,
“Effect of laser rays on wound healing,”
Am. J. Surg., 122
(4), 532
–535 https://doi.org/10.1016/0002-9610(71)90482-X AJOOA7 0096-6347
(1971).
Google Scholar
A. Xiang et al.,
“Laser photobiomodulation for cartilage defect in animal models of knee osteoarthritis: a systematic review and meta-analysis,”
Lasers Med. Sci., 35
(4), 789
–796 https://doi.org/10.1007/s10103-019-02937-8
(2019).
Google Scholar
M. P. O. Rosso et al.,
“Photobiomodulation therapy (PBMT) applied in bone reconstructive surgery using bovine bone grafts: a systematic review,”
Materials-Basel, Switzerland, 12
(24), 4051
(2019).
Google Scholar
F. Salehpour et al.,
“Brain photobiomodulation therapy: a narrative review,”
Mol. Neurobiol., 55 6601
–6636 https://doi.org/10.1007/s12035-017-0852-4 MONBEW 0893-7648
(2018).
Google Scholar
M. V. P. de Sousa et al.,
“Pain management using photobiomodulation: mechanisms, location, and repeatability quantified by pain threshold and neural biomarkers in mice,”
J. Biophotonics, 11
(7), e201700370 https://doi.org/10.1002/jbio.201700370
(2018).
Google Scholar
T. Walski et al.,
“The effect of red-to-near-infrared (R/NIR) irradiation on inflammatory processes,”
Int. J. Radiat. Biol., 95 1326
–1336 https://doi.org/10.1080/09553002.2019.1625464 IJRBE7 0955-3002
(2019).
Google Scholar
A. Lamaro-Cardoso et al.,
“Photobiomodulation associated to cellular therapy improve wound healing of experimental full thickness burn wounds in rats,”
J. Photochem. Photobiol. B Biol., 194 174
–182 https://doi.org/10.1016/j.jphotobiol.2019.04.003
(2019).
Google Scholar
R. Brignardello-Petersen,
“Uncertainty about usefulness of low-level laser therapy for improving implant outcomes,”
J. Am. Dent. Assoc., 149
(3), e55 https://doi.org/10.1016/j.adaj.2017.11.020
(2018).
Google Scholar
S. Wang et al.,
“Shedding light on the FDA’s 510(k) approvals process: low-level laser therapy devices used in the treatment of androgenetic alopecia,”
J. Dermatol. Treat., 30
(5), 489
–491 https://doi.org/10.1080/09546634.2018.1528327
(2019).
Google Scholar
T. C. Wikramanayake et al.,
“Effects of the Lexington LaserComb on hair regrowth in the C3H/HeJ mouse model of alopecia areata,”
Lasers Med. Sci., 27
(2), 431
–436 https://doi.org/10.1007/s10103-011-0953-7
(2012).
Google Scholar
T. I. Karu, Ten Lectures on Basic Science of Laser Phototherapy, 414 Prima Books(
(2007). Google Scholar
L. F. de Freitas and M. R. Hamblin,
“Proposed mechanisms of photobiomodulation or low-level light therapy,”
IEEE J. Sel. Top. Quantum Electron., 22
(3), 348
–364 https://doi.org/10.1109/JSTQE.2016.2561201 IJSQEN 1077-260X
(2016).
Google Scholar
K. Yin et al.,
“Low-level laser effect on proliferation, migration, and antiapoptosis of mesenchymal stem cells,”
Stem Cells Dev., 26
(10), 762
–775 https://doi.org/10.1089/scd.2016.0332
(2017).
Google Scholar
A. G. Yodh and D. A. Boas,
“Functional imaging with diffusing light,”
Biomedical Photonics Handbook, 311
–356 CRC Press(
(2014). Google Scholar
V. I. Yusupov et al.,
“The regulatory effect of low-intensity radiation in the near-infrared region on the early development of zebrafish (Danio rerio),”
Biophysics, 63
(1), 109
–115 https://doi.org/10.1134/S0006350918010207
(2018).
Google Scholar
L. M. R. de Vasconcellos et al.,
“Erratum to: titanium scaffold osteogenesis in healthy and osteoporotic rats is improved by the use of low-level laser therapy (GaAlAs),”
Lasers Med. Sci., 31 899
–905 https://doi.org/10.1007/s10103-016-1930-y
(2016).
Google Scholar
R. Winter et al.,
“Photobiomodulation (PBM) promotes angiogenesis in-vitro and in chick embryo chorioallantoic membrane model,”
Sci. Rep., 8 17080 https://doi.org/10.1038/s41598-018-35474-5
(2018).
Google Scholar
L. Yang et al.,
“Photobiomodulation preconditioning prevents cognitive impairment in a neonatal rat model of hypoxia‐ischemia,”
J. Biophotonics, 12
(6), e201800359 https://doi.org/10.1002/jbio.201800359
(2019).
Google Scholar
T. Agrawal et al.,
“Pre-conditioning with low-level laser (light) therapy: light before the storm,”
Dose-Response, 12
(4), 619
–649 https://doi.org/10.2203/dose-response.14-032.Agrawal
(2014).
Google Scholar
M. W. Tibbitt and K. S. Anseth,
“Hydrogels as extracellular matrix mimics for 3D cell culture,”
Biotechnol. Bioeng., 103 655
–663 https://doi.org/10.1002/bit.22361 BIBIAU 0006-3592
(2009).
Google Scholar
B. M. Baker and C. S. Chen,
“Deconstructing the third dimension-how 3D culture microenvironments alter cellular cues,”
J. Cell Sci., 125 3015
–3024 JNCSAI 0021-9533
(2012).
Google Scholar
K. Duval et al.,
“Modeling physiological events in 2D vs. 3D cell culture,”
Physiology, 32
(4), 266
–277 https://doi.org/10.1152/physiol.00036.2016
(2017).
Google Scholar
J. C. Fontoura et al.,
“Comparison of 2D and 3D cell culture models for cell growth, gene expression and drug resistance,”
Mater. Sci. Eng. C, 107 110264 https://doi.org/10.1016/j.msec.2019.110264
(2020).
Google Scholar
R. C. Dutta and A. K. Dutta,
“Cell-interactive 3D-scaffold; advances and applications,”
Biotechnol. Adv., 27
(4), 334
–339 https://doi.org/10.1016/j.biotechadv.2009.02.002 BIADDD 0734-9750
(2009).
Google Scholar
W. Bensaïd et al.,
“A biodegradable fibrin scaffold for mesenchymal stem cell transplantation,”
Biomaterials, 24
(14), 2497
–2502 https://doi.org/10.1016/s0142-9612(02)00618-x BIMADU 0142-9612
(2003).
Google Scholar
H. T. Kang et al.,
“Effect of stem cell treatment on acute liver failure model using scaffold,”
Dig. Dis. Sci., 64
(3), 781
–791 https://doi.org/10.1007/s10620-018-5363-2 DDSCDJ 0163-2116
(2019).
Google Scholar
M. Asmani et al.,
“Fibrotic microtissue array to predict anti-fibrosis drug efficacy,”
Nat. Commun., 9 2066 https://doi.org/10.1038/s41467-018-04336-z NCAOBW 2041-1723
(2018).
Google Scholar
P. Timashev et al.,
“Novel biodegradable star-shaped polylactide scaffolds for bone regeneration fabricated by two-photon polymerization,”
Nanomedicine, 11
(9), 1041
–1053 https://doi.org/10.2217/nnm-2015-0022 1743-5889
(2016).
Google Scholar
A. Shpichka et al.,
“Skin tissue regeneration for burn injury,”
Stem Cell Res. Ther., 10 94 https://doi.org/10.1186/s13287-019-1203-3
(2019).
Google Scholar
J. Malda, T. J. Klein and Z. Upton,
“The roles of hypoxia in the in vitro engineering of tissues,”
Tissue Eng., 13
(9), 2153
–2162 https://doi.org/10.1089/ten.2006.0417 1937-3341
(2007).
Google Scholar
J. Riesle et al.,
“Oxygen gradients in tissue-engineered Pegt/Pbt cartilaginous constructs: measurement and modeling,”
Biotechnol. Bioeng., 86
(1), 9
–18 https://doi.org/10.1002/bit.20038 BIBIAU 0006-3592
(2004).
Google Scholar
L. Figueiredo et al.,
“Assessing glucose and oxygen diffusion in hydrogels for the rational design of 3D stem cell scaffolds in regenerative medicine,”
J. Tissue Eng. Regen. Med., 12
(5), 1238
–1246 https://doi.org/10.1002/term.2656
(2018).
Google Scholar
M. Vidotto, D. Dini and E. De Momi,
“Effective diffusion and tortuosity in brain white matter,”
in Proc. Annu. Int. Conf. IEEE Eng. in Med. and Biol. Soc., EMBS,
4901
–4904
(2018). https://doi.org/10.1109/EMBC.2018.8513443 Google Scholar
A. M. Römgens et al.,
“Diffusion profile of macromolecules within and between human skin layers for (trans)dermal drug delivery,”
J. Mech. Behav. Biomed. Mater., 50 215
–222 https://doi.org/10.1016/j.jmbbm.2015.06.019
(2015).
Google Scholar
R. J. McMurtrey,
“Analytic models of oxygen and nutrient diffusion, metabolism dynamics, and architecture optimization in three-dimensional tissue constructs with applications and insights in cerebral organoids,”
Tissue Eng. Part C Methods, 22
(3), 221
–249 https://doi.org/10.1089/ten.tec.2015.0375
(2016).
Google Scholar
J. R. Dorvee, A. L. Boskey and L. A. Estroff,
“Rediscovering hydrogel-based double-diffusion systems for studying biomineralization,”
CrystEngComm, 14
(18), 5681
–700 https://doi.org/10.1039/c2ce25289a
(2012).
Google Scholar
S. Ramanujan et al.,
“Diffusion and convection in collagen gels: implications for transport in the tumor interstitium,”
Biophys. J., 83
(3), 1650
–1660 https://doi.org/10.1016/S0006-3495(02)73933-7 BIOJAU 0006-3495
(2002).
Google Scholar
F. Sauer et al.,
“Collagen networks determine viscoelastic properties of connective tissues yet do not hinder diffusion of the aqueous solvent,”
Soft Matter, 15
(14), 3055
–3064 https://doi.org/10.1039/C8SM02264J SMOABF 1744-683X
(2019).
Google Scholar
I. Westphal et al.,
“Oxygen mapping: probing a novel seeding strategy for bone tissue engineering,”
Biotechnol. Bioeng., 114
(4), 894
–902 https://doi.org/10.1002/bit.26202 BIBIAU 0006-3592
(2017).
Google Scholar
S. Bahsoun et al.,
“The role of dissolved oxygen levels on human mesenchymal stem cell culture success, regulatory compliance, and therapeutic potential,”
Stem Cells Dev., 27 1303
–1321 https://doi.org/10.1089/scd.2017.0291
(2018).
Google Scholar
C. Holzwarth et al.,
“Low physiologic oxygen tensions reduce proliferation and differentiation of human multipotent mesenchymal stromal cells,”
BMC Cell Biol., 11 11 https://doi.org/10.1186/1471-2121-11-11
(2010).
Google Scholar
J. R. Choi et al.,
“Impact of low oxygen tension on stemness, proliferation and differentiation potential of human adipose-derived stem cells,”
Biochem. Biophys. Res. Commun., 448
(2), 218
–224 https://doi.org/10.1016/j.bbrc.2014.04.096 BBRCA9 0006-291X
(2014).
Google Scholar
A. G. Ardakani et al.,
“Quantifying the correlation between spatially defined oxygen gradients and cell fate in an engineered three-dimensional culture model,”
J. R. Soc. Interface, 11
(98), 20140501 https://doi.org/10.1098/rsif.2014.0501 1742-5689
(2014).
Google Scholar
D. R. Grimes et al.,
“Estimating oxygen distribution from vasculature in three-dimensional tumour tissue,”
J. R. Soc. Interface, 13
(116), 20160070 https://doi.org/10.1098/rsif.2016.0070 1742-5689
(2016).
Google Scholar
E. Volkmer et al.,
“Hypoxia in static and dynamic 3D culture systems for tissue engineering of bone,”
Tissue Eng. - Part A, 14
(8), 1331
–1340 https://doi.org/10.1089/ten.tea.2007.0231
(2008).
Google Scholar
M. J. Farrell et al.,
“Functional consequences of glucose and oxygen deprivation onengineered mesenchymal stem cell-based cartilage constructs,”
Osteoarthr. Cartil., 23
(1), 134
–142 https://doi.org/10.1016/j.joca.2014.09.012 OSCAEO 1063-4584
(2015).
Google Scholar
K. E. Schlageter et al.,
“Microvessel organization and structure in experimental brain tumors: microvessel populations with distinctive structural and functional properties,”
Microvasc. Res., 58
(3), 312
–328 https://doi.org/10.1006/mvre.1999.2188 MIVRA6 0026-2862
(1999).
Google Scholar
D. Wendt et al.,
“Uniform tissues engineered by seeding and culturing cells in 3D scaffolds under perfusion at defined oxygen tensions,”
Biorheology, 43
(3–4), 481
–488 https://doi.org/10.1089/ten.2006.0158
(2006).
Google Scholar
M. C. Lewis et al.,
“Heterogeneous proliferation within engineered cartilaginous tissue: the role of oxygen tension,”
Biotechnol. Bioeng., 91
(5), 607
–615 https://doi.org/10.1002/bit.20508 BIBIAU 0006-3592
(2005).
Google Scholar
M. Radisic et al.,
“Mathematical model of oxygen distribution in engineered cardiac tissue with parallel channel array perfused with culture medium containing oxygen carriers,”
Am. J. Physiol. Circ. Physiol., 288
(3), H1278
–H1289 https://doi.org/10.1152/ajpheart.00787.2004
(2005).
Google Scholar
A. K. Miri et al.,
“Permeability mapping of gelatin methacryloyl hydrogels,”
Acta Biomater., 77 38
–47 https://doi.org/10.1016/j.actbio.2018.07.006
(2018).
Google Scholar
H. T. Whelan et al.,
“Effect of NASA light-emitting diode irradiation on wound healing,”
J. Clin. Laser Med. Surg., 19
(6), 305
–314 https://doi.org/10.1089/104454701753342758 JCLSEO
(2001).
Google Scholar
L. Yue and M. S. Humayun,
“Monte Carlo analysis of the enhanced transcranial penetration using distributed near-infrared emitter array,”
J. Biomed. Opt., 20
(8), 088001 https://doi.org/10.1117/1.JBO.20.8.088001 JBOPFO 1083-3668
(2015).
Google Scholar
T. A. Henderson and L. D. Morries,
“Near-infrared photonic energy penetration: can infrared phototherapy effectively reach the human brain?,”
Neuropsychiatr. Dis. Treat., 11 2191
–208 https://doi.org/10.2147/NDT.S78182
(2015).
Google Scholar
D. Hao et al.,
“Hypoxic preconditioning enhances survival and proangiogenic capacity of human first trimester chorionic Villus-derived mesenchymal stem cells for fetal tissue engineering,”
Stem Cells Int., 2019 9695239 https://doi.org/10.1155/2019/9695239
(2019).
Google Scholar
M. Zhang et al.,
“Cardiomyocyte grafting for cardiac repair: graft cell death and anti-death strategies,”
J. Mol. Cell Cardiol., 33
(5), 907
–921 https://doi.org/10.1006/jmcc.2001.1367
(2001).
Google Scholar
K. Moeinabadi-Bidgoli et al.,
“Translational insights into stem cell preconditioning: from molecular mechanisms to preclinical applications,”
Biomed. Pharmacother., 142 112026 https://doi.org/10.1016/j.biopha.2021.112026 BIPHEX
(2021).
Google Scholar
J. H. Lee, Y. M. Yoon and S. H. Lee,
“Hypoxic preconditioning promotes the bioactivities of mesenchymal stem cells via the HIF--GRP78-Akt axis,”
Int. J. Mol. Sci., 18
(6), 1320 https://doi.org/10.3390/ijms18061320 1422-0067
(2017).
Google Scholar
J. Zhang et al.,
“Hydrogen peroxide preconditioning enhances the therapeutic efficacy of Wharton’s jelly mesenchymal stem cells after myocardial infarction,”
Chin. Med. J., 125
(19), 3472
–3478 https://doi.org/10.1097/MCA.0b013e3283640f00
(2012).
Google Scholar
L. Teng, E. Bennett and C. Cai,
“Preconditioning c-kit-positive human cardiac stem cells with a nitric oxide donor enhances cell survival through activation of survival signaling pathways,”
J. Biol. Chem., 291
(18), 9733
–9747 https://doi.org/10.1074/jbc.M115.687806 JBCHA3 0021-9258
(2016).
Google Scholar
J. H. Cui et al.,
“Preconditioning of mesenchymal stem cells with low-intensity ultrasound for cartilage formation in vivo,”
Tissue Eng., 13
(2), 351
–360 https://doi.org/10.1089/ten.2006.0080 1937-3341
(2007).
Google Scholar
H. A. Mena et al.,
“Acidic preconditioning of endothelial colony-forming cells (ECFC) promote vasculogenesis under proinflammatory and high glucose conditions in vitro and in vivo,”
Stem Cell Res. Ther., 9
(1), 1
–13 https://doi.org/10.1186/s13287-018-0872-7
(2018).
Google Scholar
J. M. C. de la Barca et al.,
“Retinal metabolic events in preconditioning light stress as revealed by wide-spectrum targeted metabolomics,”
Metabolomics, 13
(3), 22 https://doi.org/10.1007/s11306-016-1156-9
(2017).
Google Scholar
A. Bartos et al.,
“Pre-conditioning with near infrared photobiomodulation reduces inflammatory cytokines and markers of oxidative stress in cochlear hair cells,”
J. Biophotonics, 9
(11–12), 1125
–1135 https://doi.org/10.1002/jbio.201500209
(2016).
Google Scholar
P. Y. Bikmulina et al.,
“Photobiomodulation enhances mitochondrial respiration in an in vitro rotenone model of Parkinson’s disease,”
Opt. Eng., 59
(6), 061620 https://doi.org/10.1117/1.OE.59.6.061620
(2020).
Google Scholar
M. R. Hamblin,
“Mechanisms and mitochondrial redox signaling in photobiomodulation,”
Photochem. Photobiol., 94
(2), 199
–212 https://doi.org/10.1111/php.12864 PHCBAP 0031-8655
(2018).
Google Scholar
K. A. Kim et al.,
“Effect of low-level laser therapy on orthodontic tooth movement into bone-grafted alveolar defects,”
Am. J. Orthod. Dentofac Orthop., 148
(4), 608
–617 https://doi.org/10.1016/j.ajodo.2015.04.034
(2015).
Google Scholar
R. Fekrazad et al.,
“The effects of combined low level laser therapy and mesenchymal stem cells on bone regeneration in rabbit calvarial defects,”
J. Photochem. Photobiol. B Biol., 151 180
–185 https://doi.org/10.1016/j.jphotobiol.2015.08.002
(2015).
Google Scholar
I.-S. Park, P.-S. Chung and J. C. Ahn,
“Angiogenic synergistic effect of adipose-derived stromal cell spheroids with low-level light therapy in a model of acute skin flap ischemia,”
Cells Tissues Organs, 202
(5–6), 307
–318 https://doi.org/10.1159/000445710 1422-6405
(2016).
Google Scholar
I. S. Park, P. S. Chung and J. C. Ahn,
“Enhanced angiogenic effect of adipose-derived stromal cell spheroid with low-level light therapy in hind limb ischemia mice,”
Biomaterials, 35
(34), 9280
–9289 https://doi.org/10.1016/j.biomaterials.2014.07.061 BIMADU 0142-9612
(2014).
Google Scholar
A. Teuschl et al.,
“Phototherapy with LED light modulates healing processes in an in vitro scratch-wound model using 3 different cell types,”
Dermatol. Surg., 41
(2), 261
–268 https://doi.org/10.1097/DSS.0000000000000266
(2015).
Google Scholar
T. I. Karu and S. F. Kolyakov,
“Exact action spectra for cellular responses relevant to phototherapy,”
Photomed. Laser Surg., 23
(4), 355
–361 https://doi.org/10.1089/pho.2005.23.355
(2005).
Google Scholar
S. I. Parenti et al.,
“Effect of low-level laser irradiation on osteoblast-like cells cultured on porous hydroxyapatite scaffolds,”
Ann. Ist. Super Sanita, 49
(3), 255
–260 https://doi.org/10.4415/ANN_13_03_04
(2013).
Google Scholar
A. P. Sommer et al.,
“Biostimulatory windows in low-intensity laser activation: lasers, scanners, and NASA’s light-emitting diode array system,”
J. Clin. Laser Med. Surg., 19
(1), 29
–33 https://doi.org/10.1089/104454701750066910 JCLSEO
(2001).
Google Scholar
N. V. Andreeva et al.,
“Cytotoxic effect of low-intensity infrared laser irradiation on human melanoma cells,”
Mol. Biol., 52
(6), 878
–890 https://doi.org/10.1134/S002689331806002X
(2018).
Google Scholar
N. V. Andreeva et al.,
“The effect of infrared laser irradiation on the growth of human melanoma cells in culture,”
Biophysics, 61
(6), 979
–984 https://doi.org/10.1134/S000635091606004X
(2016).
Google Scholar
H. Chung et al.,
“The nuts and bolts of low-level laser (light) therapy,”
Ann. Biomed. Eng., 40
(2), 516
–533 https://doi.org/10.1007/s10439-011-0454-7 ABMECF 0090-6964
(2012).
Google Scholar
T. I. Karu,
“Molecular mechanisms of the terapeutic effect of low-intensity laser radiation,”
Lasers Life Sci., 2
(1), 53
–74
(1988).
Google Scholar
V. Heiskanen and M. R. Hamblin,
“Photobiomodulation: lasers vs. light emitting diodes?,”
Photochem. Photobiol. Sci., 17
(8), 1003
–1017 https://doi.org/10.1039/C8PP00176F PPSHCB 1474-905X
(2018).
Google Scholar
M. R. Hamblin,
“How to write a good photobiomodulation article,”
Photobiomod. Photomed. Laser Surg., 37
(6), 325
–326 https://doi.org/10.1089/photob.2019.4648
(2019).
Google Scholar
D. E. Hudson et al.,
“Penetration of laser light at 808 and 980 nm in bovine tissue samples,”
Photomed. Laser Surg., 31
(4), 163 https://doi.org/10.1089/pho.2012.3284
(2013).
Google Scholar
C. E. Tedford et al.,
“Quantitative analysis of transcranial and intraparenchymal light penetration in human cadaver brain tissue,”
Lasers Surg. Med., 47
(4), 312
–322 https://doi.org/10.1002/lsm.22343 LSMEDI 0196-8092
(2015).
Google Scholar
N. Kampa et al.,
“Penetration depth study of 830 nm low-intensity laser therapy on living dog tissue,”
Vet. World, 13
(7), 1417
–1422 https://doi.org/10.14202/vetworld.2020.1417-1422
(2020).
Google Scholar
A. P. P. Sviridov et al.,
“Optical fields in porous polylactide matrices,”
Quantum Electron., 50
(1), 81
–86 https://doi.org/10.1070/QEL17236 QUELEZ 1063-7818
(2020).
Google Scholar
A. J. Welch and M. J. C. Van Gemert,
“Optical-thermal response of laser-irradiated tissue,”
Optical-Thermal Response of Laser-Irradiated Tissue, 1
–958 Springer Netherlands(
(2011). Google Scholar
V. V. Tuchin, Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis, 3rd ed.SPIE Press, Bellingham, Washington
(2015). Google Scholar
V. V. Tuchin,
“Tissue optics and photonics: light-tissue interaction,”
J. Biomed. Photonics Eng., 1
(1), 98
–134 https://doi.org/10.18287/JBPE-2015-1-2-98
(2015).
Google Scholar
C. Ash et al.,
“Effect of wavelength and beam width on penetration in light-tissue interaction using computational methods,”
Lasers Med. Sci., 32
(8), 1909
–1918 https://doi.org/10.1007/s10103-017-2317-4
(2017).
Google Scholar
Handbook of Optical Biomedical Diagnostics, Volume 2: Methods, 642 SPIE(
(2016). Google Scholar
M. Hiraoka et al.,
“A Monte Carlo investigation of optical pathlength in inhomogeneous tissue and its application to near-infrared spectroscopy,”
Phys. Med. Biol., 38
(12), 1859 https://doi.org/10.1088/0031-9155/38/12/011 PHMBA7 0031-9155
(1993).
Google Scholar
V. Yusupov et al.,
“Optical and thermal fields induced in the bone marrow by external laser irradiation,”
Lasers Med Sci., 37
(2), 1245
–1253 https://doi.org/10.1007/s10103-021-03380-4
(2022).
Google Scholar
O. V. Vorob’yeva et al.,
“Effects of He–Ne laser on Daphnia magna Straus manifested in subsequent generations,”
Laser Phys. Lett., 12
(11), 115601 https://doi.org/10.1088/1612-2011/12/11/115601
(2015).
Google Scholar
R. Kohli, P. K. Gupta and A. Dube,
“Helium-neon laser preirradiation induces protection against UVC radiation in wild-type E. coli strain K12AB1157,”
Radiat. Res., 153
(2), 181
–185 https://doi.org/10.1667/0033-7587(2000)153[0181:HNLPIP]2.0.CO;2 RAREAE 0033-7587
(2000).
Google Scholar
I. Moreno and C.-C. Sun,
“Modeling the radiation pattern of LEDs,”
Opt. Express, 16
(3), 1808 https://doi.org/10.1364/OE.16.001808 OPEXFF 1094-4087
(2008).
Google Scholar
P. Y. Bikmulina et al.,
“Beyond 2D: effects of photobiomodulation in 3D tissue-like systems,”
J. Biomed. Opt., 25
(4), 048001 https://doi.org/10.1117/1.JBO.25.4.048001 JBOPFO 1083-3668
(2020).
Google Scholar
B. P. Chan et al.,
“Photochemical cross-linking for collagen-based scaffolds: a study on optical properties, mechanical properties, stability, and hematocompatibility,”
Tissue Eng., 13
(1), 73
–85 https://doi.org/10.1089/ten.2006.0004 1937-3341
(2007).
Google Scholar
K. Rupel et al.,
“Photobiomodulation at multiple wavelengths differentially modulates oxidative stress in vitro and in vivo,”
Oxid. Med. Cell Longev., 2018 1 https://doi.org/10.1155/2018/6510159
(2018).
Google Scholar
A. D. Camacho, D. Montoya Guzmán and S. A. Velásquez Cujar,
“Effective wavelength range in photobiomodulation for tooth movement acceleration in orthodontics: a systematic review,”
Photobiomod. Photomed. Laser Surg., 38
(10), 581
–590 https://doi.org/10.1089/photob.2020.4814
(2020).
Google Scholar
S. A. Guaraldo et al.,
“The effect of low-level laser therapy on oxidative stress and functional fitness in aged rats subjected to swimming: an aerobic exercise,”
Lasers Med. Sci., 31
(5), 833
–840 https://doi.org/10.1007/s10103-016-1882-2
(2016).
Google Scholar
S. A. Dos Santos et al.,
“Effects of photobiomodulation therapy on oxidative stress in muscle injury animal models: a systematic review,”
Oxid. Med. Cell Longev., 2017 5273403 https://doi.org/10.1155/2017/5273403
(2017).
Google Scholar
M. R. HamblinM. R. Hamblin,
“Mechanisms and applications of the anti-inflammatory effects of photobiomodulation,”
AIMS Biophys., 4
(3), 337
–361 https://doi.org/10.3934/biophy.2017.3.337
(2017).
Google Scholar
T. I. Karu,
“Mitochondrial signaling in mammalian cells activated by red and near-IR radiation,”
Photochem. Photobiol., 84
(5), 1091
–1099 https://doi.org/10.1111/j.1751-1097.2008.00394.x PHCBAP 0031-8655
(2008).
Google Scholar
A. N. Osipov, G. G. Borisenko and Y. A. Vladimirov,
“Biological activity of hemoprotein nitrosyl complexes,”
Biochemistry, 72
(13), 1491
–1504 https://doi.org/10.1134/s0006297907130068
(2007).
Google Scholar
M. G. Mason, P. Nicholls and C. E. Cooper,
“Re-evaluation of the near infrared spectra of mitochondrial cytochrome c oxidase: implications for non invasive in vivo monitoring of tissues,”
Biochim. Biophys. Acta - Bioenerg., 1837
(11), 1882
–1891 https://doi.org/10.1016/j.bbabio.2014.08.005
(2014).
Google Scholar
T. I. Karu,
“Multiple roles of cytochrome c oxidase in mammalian cells under action of red and IR-A radiation,”
IUBMB Life, 62
(8), 607
–610 https://doi.org/10.1002/iub.359 1521-6543
(2010).
Google Scholar
D. J. Stuehr,
“Mammalian nitric oxide synthases,”
Biochim. Biophys. Acta – Bioenerg., 1411
(2–3), 217
–230 https://doi.org/10.1016/S0005-2728(99)00016-X
(1999).
Google Scholar
D. A. Wink et al.,
“Mechanisms of the antioxidant effects of nitric oxide,”
Antioxid. Redox. Signal, 3
(2), 203
–213 https://doi.org/10.1089/152308601300185179
(2001).
Google Scholar
G. C. Brown,
“Regulation of mitochondrial respiration by nitric oxide inhibition of cytochrome c oxidase,”
Biochim. Biophys. Acta – Bioenerg., 1504
(1), 46
–57 https://doi.org/10.1016/S0005-2728(00)00238-3
(2001).
Google Scholar
M. W. J. Cleeter et al.,
“Reversible inhibition of cytochrome c oxidase, the terminal enzyme of the mitochondrial respiratory chain, by nitric oxide. Implications for neurodegenerative diseases,”
FEBS Lett., 345
(1), 50
–54 https://doi.org/10.1016/0014-5793(94)00424-2 FEBLAL 0014-5793
(1994).
Google Scholar
E. A. Buravlev et al.,
“Effects of laser and LED radiation on mitochondrial respiration in experimental endotoxic shock,”
Lasers Med. Sci., 28
(3), 785
–790 https://doi.org/10.1007/s10103-012-1155-7
(2013).
Google Scholar
Y. Wang et al.,
“Red (660 nm) or near-infrared (810 nm) photobiomodulation stimulates, while blue (415 nm), green (540 nm) light inhibits proliferation in human adipose-derived stem cells,”
Sci. Rep., 7
(1), 7781 https://doi.org/10.1038/s41598-017-07525-w
(2017).
Google Scholar
S. George, M. R. Hamblin and H. Abrahamse,
“Effect of red light and near infrared laser on the generation of reactive oxygen species in primary dermal fibroblasts,”
J. Photochem. Photobiol. B Biol., 188 60
–68 https://doi.org/10.1016/j.jphotobiol.2018.09.004
(2018).
Google Scholar
R. Lubart et al.,
“Low-energy laser irradiation promotes cellular redox activity,”
Photomed. Laser Surg., 23 3
–9 https://doi.org/10.1089/pho.2005.23.3
(2005).
Google Scholar
J. Zhang et al.,
“ROS and ROS-mediated cellular signaling,”
Oxid. Med. Cell Longev., 2016 4350965 https://doi.org/10.1155/2016/4350965
(2016).
Google Scholar
H. Friedmann et al.,
“A possible explanation of laser-induced stimulation and damage of cell cultures,”
J. Photochem. Photobiol. B: Biol., 11 87
–91 https://doi.org/10.1016/1011-1344(91)80271-I JPPBEG 1011-1344
(1991).
Google Scholar
I. Golovynska et al.,
“Red and near-infrared light evokes influx, endoplasmic reticulum release and membrane depolarization in neurons and cancer cells,”
J. Photochem. Photobiol. B Biol., 214 112088 https://doi.org/10.1016/j.jphotobiol.2020.112088
(2021).
Google Scholar
L. Munaron, S. Antoniotti and D. Lovisolo,
“Intracellular calcium signals and control of cell proliferation: how many mechanisms?,”
J. Cell Mol. Med., 8
(2), 161
–168 https://doi.org/10.1111/j.1582-4934.2004.tb00271.x
(2004).
Google Scholar
Y. Zhang et al.,
“cDNA microarray analysis of gene expression profiles in human fibroblast cells irradiated with red light,”
J. Invest. Dermatol., 120
(5), 776
–780 https://doi.org/10.1046/j.1523-1747.2003.12130.x JIDEAE 0022-202X
(2003).
Google Scholar
T. D. Gilmore,
“Introduction to NF-: players, pathways, perspectives,”
Oncogene, 25
(51), 6680
–6684 https://doi.org/10.1038/sj.onc.1209954 ONCNES 0950-9232
(2006).
Google Scholar
A. de Farias Gabriel et al.,
“Photobiomodulation therapy modulates epigenetic events and NF- expression in oral epithelial wound healing,”
Lasers Med. Sci., 34
(7), 1465
–1472 https://doi.org/10.1007/s10103-019-02745-0
(2019).
Google Scholar
D. Trachootham et al.,
“Redox regulation of cell survival,”
Antioxid. Redox. Signal, 10
(8), 1343
–1374 https://doi.org/10.1089/ars.2007.1957
(2010).
Google Scholar
N. Li and M. Karin,
“Is NF- the sensor of oxidative stress?,”
FASEB J., 13
(10), 1137
–1143 https://doi.org/10.1096/fasebj.13.10.1137 FAJOEC 0892-6638
(1999).
Google Scholar
A. Borzabadi-Farahani,
“Effect of low-level laser irradiation on proliferation of human dental mesenchymal stem cells; a systemic review,”
J. Photochem. Photobiol. B Biol., 162 577
–582 https://doi.org/10.1016/j.jphotobiol.2016.07.022
(2016).
Google Scholar
M. Giannelli et al.,
“Photoactivation of bone marrow mesenchymal stromal cells with diode laser: effects and mechanisms of action,”
J. Cell Physiol., 228
(1), 172
–181 https://doi.org/10.1002/jcp.24119
(2013).
Google Scholar
X. Gao et al.,
“Single cell analysis of PKC activation during proliferation and apoptosis induced by laser irradiation,”
J. Cell Physiol., 206
(2), 441
–448 https://doi.org/10.1002/jcp.20484
(2006).
Google Scholar
R. Fekrazad et al.,
“Photobiomodulation with single and combination laser wavelengths on bone marrow mesenchymal stem cells: proliferation and differentiation to bone or cartilage,”
Lasers Med. Sci., 34
(1), 115
–126 https://doi.org/10.1007/s10103-018-2620-8
(2019).
Google Scholar
A. S. Çakmak et al.,
“Photostimulation of osteogenic differentiation on silk scaffolds by plasma arc light source,”
Lasers Med. Sci., 33
(4), 785
–794 https://doi.org/10.1007/s10103-017-2414-4
(2018).
Google Scholar
D. G. Duda, D. Fukumura and R. K. Jain,
“Role of eNOS in neovascularization: NO for endothelial progenitor cells,”
Trends Mol. Med., 10
(4), 143
–145 https://doi.org/10.1016/j.molmed.2004.02.001
(2004).
Google Scholar
L. V. Faria et al.,
“Photobiomodulation can prevent apoptosis in cells from mouse periodontal ligament,”
Lasers Med. Sci., 35
(8), 1841
–1848 https://doi.org/10.1007/s10103-020-03044-9
(2020).
Google Scholar
A. Janzadeh,
“Photobiomodulation therapy reduces apoptotic factors and increases glutathione levels in a neuropathic pain model,”
Lasers Med. Sci., 31
(9), 1863
–1869 https://doi.org/10.1007/s10103-016-2062-0
(2016).
Google Scholar
L. C. Gomes, G. Di Benedetto and L. Scorrano,
“During autophagy mitochondria elongate, are spared from degradation and sustain cell viability,”
Nat. Cell Biol., 13
(5), 589
–598 https://doi.org/10.1038/ncb2220 NCBIFN 1465-7392
(2011).
Google Scholar
K. Labbé, A. Murley and J. Nunnari,
“Determinants and functions of mitochondrial behavior,”
Annu. Rev. Cell Dev. Biol., 30
(1), 357
–391 https://doi.org/10.1146/annurev-cellbio-101011-155756 ARDBF8 1081-0706
(2014).
Google Scholar
J. C. Tatmatsu-Rocha et al.,
“Mitochondrial dynamics (fission and fusion) and collagen production in a rat model of diabetic wound healing treated by photobiomodulation: comparison of 904 nm laser and 850 nm light-emitting diode (LED),”
J. Photochem. Photobiol. B Biol., 187 41
–47 https://doi.org/10.1016/j.jphotobiol.2018.07.032
(2018).
Google Scholar
F. Zare et al.,
“Photobiomodulation with 630 plus 810 nm wavelengths induce more in vitro cell viability of human adipose stem cells than human bone marrow-derived stem cells,”
J. Photochem. Photobiol. B Biol., 1 201 https://doi.org/10.1016/j.jphotobiol.2019.111658
(2019).
Google Scholar
A. I. Shpichka et al.,
“Digging deeper: Structural background of PEGylated fibrin gels in cell migration and lumenogenesis,”
RSC Adv., 10
(8), 4190
–4200 https://doi.org/10.1039/C9RA08169K
(2020).
Google Scholar
A. I. Shpichka et al.,
“Evaluation of the vasculogenic potential of hydrogels based on modified fibrin,”
Cell Tissue biol., 11
(1), 81
–87 https://doi.org/10.1134/S1990519X17010126
(2017).
Google Scholar
T. Ruckh et al.,
“Mineralization content alters osteogenic responses of bone marrow stromal cells on hydroxyapatite/polycaprolactone composite nanofiber scaffolds,”
J. Funct. Biomater., 3
(4), 776
–798 https://doi.org/10.3390/jfb3040776
(2012).
Google Scholar
V. A. Revkova et al.,
“Chitosan-g-oligo(L,L-lactide) copolymer hydrogel potential for neural stem cell differentiation,”
Tissue Eng. - Part A, 26
(17–18), 953
–963 https://doi.org/10.1089/ten.tea.2019.0265
(2020).
Google Scholar
V. Ganeshan et al.,
“Pre-conditioning with remote photobiomodulation modulates the brain transcriptome and protects against MPTP insult in mice,”
Neuroscience, 400 85
–97 https://doi.org/10.1016/j.neuroscience.2018.12.050
(2019).
Google Scholar
A. P. Fernandes et al.,
“Effects of low-level laser therapy on stem cells from human exfoliated deciduous teeth,”
J. Appl. Oral Sci., 24
(4), 332
–337 https://doi.org/10.1590/1678-775720150275
(2016).
Google Scholar
C. Moura-Netto et al.,
“Low-intensity laser phototherapy enhances the proliferation of dental pulp stem cells under nutritional deficiency,”
Braz. Oral Res., 30
(1), S1806
–83242016000100265 https://doi.org/10.1590/1807-3107BOR-2016.vol30.0080
(2016).
Google Scholar
I. V. Vakhrushev et al.,
“Effect of low-level laser irradiation on proliferative activity of Wharton’s jelly mesenchymal stromal cells,”
Bull. Exp. Biol. Med., 167
(1), 136
–139 https://doi.org/10.1007/s10517-019-04477-1 BEXBAN 0007-4888
(2019).
Google Scholar
R. K. Chailakhyan et al.,
“Activation of bone marrow multipotent stromal cells by laser and EHF radiation and their combined impacts,”
Sovrem. Tehnol. v. Med., 9
(1), 28 https://doi.org/10.17691/stm2017.9.1.03
(2017).
Google Scholar
P. Bikmulina et al.,
“3D or not 3D: a guide to assess cell viability in 3D cell systems,”
Soft Matter, 18
(11), 2222
–2233 https://doi.org/10.1039/D2SM00018K SMOABF 1744-683X
(2022).
Google Scholar
A. C. M. Renno et al.,
“Effect of 830-nm laser phototherapy on olfactory neuronal ensheathing cells grown in vitro on novel bioscaffolds,”
J. Appl. Biomater. Funct. Mater., 13
(3), e234
–e240 https://doi.org/10.5301/jabfm.5000220
(2015).
Google Scholar
R. Strehl et al.,
“Proliferating cells versus differentiated cells in tissue engineering,”
Tissue Eng., 8
(1), 37
–42 https://doi.org/10.1089/107632702753503036 1937-3341
(2002).
Google Scholar
A. Theocharidou et al.,
“Odontogenic differentiation and biomineralization potential of dental pulp stem cells inside Mg-based bioceramic scaffolds under low-level laser treatment,”
Lasers Med. Sci., 32
(1), 201
–210 https://doi.org/10.1007/s10103-016-2102-9
(2017).
Google Scholar
B. Ahrabi et al.,
“The effect of photobiomodulation therapy on the differentiation, proliferation, and migration of the mesenchymal stem cell: a review,”
J. Lasers Med. Sci., 10 S96
–S103 https://doi.org/10.15171/jlms.2019.S17
(2019).
Google Scholar
K. W. Engel, I. Khan and P. R. Arany,
“Cell lineage responses to photobiomodulation therapy,”
J. Biophotonics, 9
(11–12), 1148
–1156 https://doi.org/10.1002/jbio.201600025
(2016).
Google Scholar
T. Karu,
“Photochemical effects upon the cornea, skin and other tissues,”
Photobiol. Low-Power Laser Eff., 56
(5), 1
–20
(1986).
Google Scholar
C. M. G. de Faria et al.,
“Effects of photobiomodulation on the redox state of healthy and cancer cells,”
Biomed. Opt. Express, 12
(7), 3902
–3916 https://doi.org/10.1364/BOE.421302 BOEICL 2156-7085
(2021).
Google Scholar
H. J. Serrage et al.,
“Differential responses of myoblasts and myotubes to photobiomodulation are associated with mitochondrial number,”
J. Biophotonics, 12
(6), e201800411 https://doi.org/10.1002/jbio.201800411
(2019).
Google Scholar
I. M. A. Diniz et al.,
“Photobiomodulation of mesenchymal stem cells encapsulated in an injectable rhBMP4-loaded hydrogel directs hard tissue bioengineering,”
J. Cell Physiol., 233
(6), 4907
–4918 https://doi.org/10.1002/jcp.26309
(2018).
Google Scholar
K. Choi et al.,
“Low-level laser therapy promotes the osteogenic potential of adipose-derived mesenchymal stem cells seeded on an acellular dermal matrix,”
J. Biomed. Mater. Res. – Part B Appl. Biomater., 101B
(6), 919
–928 https://doi.org/10.1002/jbm.b.32897
(2013).
Google Scholar
F. G. Basso et al.,
“Low-level laser therapy in 3D cell culture model using gingival fibroblasts,”
Lasers Med. Sci., 31
(5), 973
–978 https://doi.org/10.1007/s10103-016-1945-4
(2016).
Google Scholar
A. C. B. Oliveira et al.,
“Red light accelerates the formation of a human dermal equivalent,”
J. Biomater. Appl., 32
(9), 1265
–1275 https://doi.org/10.1177/0885328218759385 JBAPEL 0885-3282
(2018).
Google Scholar
J. B. de Oliveira Gonçalves et al.,
“Effects of low-level laser therapy on autogenous bone graft stabilized with a new heterologous fibrin sealant,”
J. Photochem. Photobiol. B Biol., 162 663
–668 https://doi.org/10.1016/j.jphotobiol.2016.07.023
(2016).
Google Scholar
M. P. de Oliveria Rosso et al.,
“Photobiomodulation therapy associated with heterologous fibrin biopolymer and bovine bone matrix helps to reconstruct long bones,”
Biomolecules, 10
(3), 383 https://doi.org/10.3390/biom10030383
(2020).
Google Scholar
L. S. S. de Oliveira et al.,
“Low-level laser therapy (780 nm) combined with collagen sponge scaffold promotes repair of rat cranial critical-size defects and increases TGF-β, FGF-2, OPG/RANK and osteocalcin expression,”
Int. J. Exp. Pathol., 98
(2), 75
–85 https://doi.org/10.1111/iep.12226 IJEPEI 1365-2613
(2017).
Google Scholar
K. N. Z. Pinto et al.,
“Effects of biosilicate® scaffolds and low-level laser therapy on the process of bone healing,”
Photomed. Laser Surg., 31
(6), 252
–260 https://doi.org/10.1089/pho.2012.3435
(2013).
Google Scholar
A. L. B. Pinheiro et al.,
“The efficacy of the use of IR laser phototherapy associated to biphasic ceramic graft and guided bone regeneration on surgical fractures treated with wire osteosynthesis: a comparative laser fluorescence and Raman spectral study on rabbits,”
Lasers Med. Sci., 28
(3), 815
–822 https://doi.org/10.1007/s10103-012-1166-4
(2013).
Google Scholar
L. Abramovitch-Gottlib et al.,
“Low level laser irradiation stimulates osteogenic phenotype of mesenchymal stem cells seeded on a three-dimensional biomatrix,”
Lasers Med. Sci., 20
(3–4), 138
–146 https://doi.org/10.1007/s10103-005-0355-9
(2005).
Google Scholar
Y. H. Wang et al.,
“Low power laser irradiation and human adipose-derived stem cell treatments promote bone regeneration in critical-sized calvarial defects in rats,”
PLoS One, 13
(4), e0195337 https://doi.org/10.1371/journal.pone.0195337 POLNCL 1932-6203
(2018).
Google Scholar
I. M. Zaccara et al.,
“Photobiomodulation therapy improves multilineage differentiation of dental pulp stem cells in three-dimensional culture model,”
J. Biomed. Opt., 23
(9), 095001 https://doi.org/10.1117/1.JBO.23.9.095001 JBOPFO 1083-3668
(2018).
Google Scholar
S. Rochkind et al.,
“Increase of neuronal sprouting and migration using 780 nm laser phototherapy as procedure for cell therapy,”
Lasers Surg. Med., 41
(4), 277
–281 https://doi.org/10.1002/lsm.20757 LSMEDI 0196-8092
(2009).
Google Scholar
W. Zhu et al.,
“3D printing scaffold coupled with low level light therapy for neural tissue regeneration,”
Biofabrication, 9
(2), 025002 https://doi.org/10.1088/1758-5090/aa6999
(2017).
Google Scholar
C. C. Shen et al.,
“Neural regeneration in a novel nerve conduit across a large gap of the transected sciatic nerve in rats with low-level laser phototherapy,”
J. Biomed. Mater. Res. - Part A, 101
(10), 2763
–2777 https://doi.org/10.1002/jbm.a.34581
(2013).
Google Scholar
S. H. Hsu et al.,
“The effect of laser preexposure on seeding endothelial cells to a biomaterial surface,”
Photomed. Laser Surg., 28
(SUPPL. 2), S37
–S44 https://doi.org/10.1089/pho.2009.2613
(2010).
Google Scholar
H. El Nawam et al.,
“Low-level laser therapy affects dentinogenesis and angiogenesis of in vitro 3D cultures of dentin-pulp complex,”
Lasers Med. Sci., 34
(8), 1689
–1698 https://doi.org/10.1007/s10103-019-02804-6
(2019).
Google Scholar
A. Gupta et al.,
“Superpulsed (Ga-As, 904 nm) low-level laser therapy (LLLT) attenuates inflammatory response and enhances healing of burn wounds,”
J. Biophotonics, 8
(6), 489
–501 https://doi.org/10.1002/jbio.201400058
(2015).
Google Scholar
V. Cury et al.,
“Low level laser therapy reduces acute lung inflammation without impairing lung function,”
J. Biophotonics, 9
(11–12), 1199
–1207 https://doi.org/10.1002/jbio.201500113
(2016).
Google Scholar
J. L. Costa Carvalho et al.,
“The chemokines secretion and the oxidative stress are targets of low-level laser therapy in allergic lung inflammation,”
J. Biophotonics, 9
(11–12), 1208
–1221 https://doi.org/10.1002/jbio.201600061
(2016).
Google Scholar
R. A. Brochetti et al.,
“Photobiomodulation therapy improves both inflammatory and fibrotic parameters in experimental model of lung fibrosis in mice,”
Lasers Med. Sci., 32
(8), 1825
–1834 https://doi.org/10.1007/s10103-017-2281-z
(2017).
Google Scholar
N. H. C. Souza et al.,
“Photobiomodulation and different macrophages phenotypes during muscle tissue repair,”
J. Cell Mol. Med., 22
(10), 4922
–4934 https://doi.org/10.1111/jcmm.13757
(2018).
Google Scholar
N. J. Prindeze et al.,
“Photobiomodulation elicits a differential cytokine response in a cultured analogue of human skin,”
Eplasty, 19 e3
(2019).
Google Scholar
K. Shanmugapriya et al.,
“Multifunctional heteropolysaccharide hydrogel under photobiomodulation for accelerated wound regeneration,”
Ceram. Int., 46
(6), 7268
–7278 https://doi.org/10.1016/j.ceramint.2019.11.221
(2019).
Google Scholar
A. C. M. Renno et al.,
“Effect of 830 nm laser phototherapy on osteoblasts grown in vitro on Biosilicate® scaffolds,”
Photomed. Laser Surg., 28
(1), 131
–133 https://doi.org/10.1089/pho.2009.2487
(2010).
Google Scholar
R. Fekrazad et al.,
“Effects of photobiomodulation and mesenchymal stem cells on articular cartilage defects in a Rabbit model,”
Photomed. Laser Surg., 34
(11), 543
–549 https://doi.org/10.1089/pho.2015.4028
(2016).
Google Scholar
I. M. I. Zurina et al.,
“2D/3D buccal epithelial cell self-assembling as a tool for cell phenotype maintenance and fabrication of multilayered epithelial linings in vitro,”
Biomed. Mater., 13
(5), 054104 https://doi.org/10.1088/1748-605X/aace1c
(2018).
Google Scholar
I. M. Zurina et al.,
“Tissue engineering using a combined cell sheet technology and scaffolding approach,”
Acta Biomater., 113 63
–83 https://doi.org/10.1016/j.actbio.2020.06.016
(2020).
Google Scholar
Y. M. Efremov et al.,
“Mechanical properties of cell sheets and spheroids: the link between single cells and complex tissues,”
Biophys. Rev., 13
(4), 541
–561 https://doi.org/10.1007/s12551-021-00821-w 1793-0480
(2021).
Google Scholar
A. Shpichka et al.,
“Organoids in modelling infectious diseases,”
Drug Discov. Today, 27
(1), 223
–233 https://doi.org/10.1016/j.drudis.2021.08.005 DDTOFS 1359-6446
(2022).
Google Scholar
P. R. Garrido et al.,
“Effects of photobiomodulation therapy on the extracellular matrix of human dental pulp cell sheets,”
J. Photochem. Photobiol. B Biol., 194 149
–157 https://doi.org/10.1016/j.jphotobiol.2019.03.017
(2019).
Google Scholar
A. C. F. Pedroni et al.,
“Photobiomodulation therapy and vitamin C on longevity of cell sheets of human dental pulp stem cells,”
J. Cell Physiol., 233
(10), 7026
–7035 https://doi.org/10.1002/jcp.26626
(2018).
Google Scholar
S. Y. Chang et al.,
“Enhanced inner-ear organoid formation from mouse embryonic stem cells by photobiomodulation,”
Mol. Ther. - Methods Clin. Dev., 17 556
–567 https://doi.org/10.1016/j.omtm.2020.03.010
(2020).
Google Scholar
M. M. Marques et al.,
“Photobiomodulation of dental derived mesenchymal stem cells: a systematic review,”
Photomed. Laser Surg., 34
(11), 500
–508 https://doi.org/10.1089/pho.2015.4038
(2016).
Google Scholar
BiographyPolina Bikmulina received her bachelor’s and master’s degrees in biology from Lomonosov Moscow State University, Faculty of Biology, Russia, in 2019 and 2021. Currently, she is a PhD student at Sechenov University, Moscow, Russia. Since 2020, she has been a junior researcher at the Center «Digital Biodesign and Personalized Healthcare», Sechenov University, Moscow, Russia. Nastasia Kosheleva received her specialist degree in physiology in 2003 from Lomonosov Moscow State University, Faculty of Biology. In 2007, she received her PhD in developmental biology, embryology. From 2007 to 2020, she has worked at Lomonosov Moscow State University. Currently, she is a leading researcher at the Center «Digital Biodesign and Personalized Healthcare», Sechenov University, and at the Institute of General Pathology and Pathophysiology, Laboratory of Cell Biology and Developmental Pathology, Moscow, Russia. Anastasia Shpichka graduated from Penza State University, majoring in pharmacy. In 2013, she received her PhD in biotechnology from the Lomonosov Moscow State University. Currently, she is a leading researcher at the Laboratory of Clinical Smart Nanotechnologies, Sechenov University, Moscow, Russia. Vladimir Yusupov graduated from the Moscow Institute of Physics and Technology and received his PhD in 2007. He studied the effects of laser light on biological objects and laser medicine. He is the author of more than 350 publications and 50 patents. Currently, he is a senior researcher at the Institute of Photon Technologies of RAS. Vladimir Gogvadze obtained his specialist degree in physics from Tbilisi State University in 1973 and his PhD in biology from the Institute of Biological Physics, Pushchino, Russia, in 1984. Currently, he is an associate professor at Karolinska Insitutet, Stockholm, Sweden. Since 2011, he has been a leading scientist at the Laboratory of Apoptosis Mechanism Investigation, Faculty of Medicine, Lomonosov Moscow State University, Russia. He is the author of more than 130 publications and three book chapters. Yury Rochev obtained his specialist degree in physics from Lomonosov Moscow State University, Biophysical Department, Russia. In 1990, he was awarded a PhD in biophysics. He was appointed in biomedical engineering science at the National Centre for Biomedical Engineering Science, National University of Ireland, Galway, in 2007. He is the author of more than 120 journal papers and has written three book chapters. Peter Timashev graduated from Lomonosov Moscow State University of Fine Chemical Technologies. He received his PhD (solid-state chemistry 2004) and his DSc degree in 2016 from Karpov Institute of Physical Chemistry. He is the head of the Biomedicine Science and Technology Park (Sechenov University, Moscow, Russia). He has authored more than 290 publications and 10 patents and is a laureate of the Moscow Government Prize. |