Open Access Article
Arian
Jaberi‡
a,
Pejman
Ghelich‡
b,
Mohamadmahdi
Samandari
b,
Sina
Kheirabadi
a,
Zaman
Ataie
a,
Alexander
Kedzierski
c,
Alireza
Hassani Najafabadi
bd,
Ali
Tamayol
*b and
Amir
Sheikhi
*acefg
aDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA 16802, USA. E-mail: sheikhi@psu.edu
bDepartment of Biomedical Engineering, University of Connecticut, Farmington, CT 06030, USA. E-mail: atamayol@uchc.edu
cDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
dTerasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
eHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
fDepartment of Chemistry, The Pennsylvania State University, University Park, PA 16802, USA
gDepartment of Neurosurgery, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
First published on 15th April 2025
The pore size and structure of hydrogel scaffolds play a key role in regulating host-scaffold interactions. Incorporating macropores within bulk hydrogels may increase cell ingrowth and modulate scaffold-induced inflammation. To this end, granular hydrogel scaffolds (GHS) have been developed via assembling hydrogel microparticles (microgels). GHS have interconnected cell-scale pores, tailored by microgel size, which are readily accessible to cells. Although bulk gelatin methacryloyl (GelMA) hydrogel scaffolds have frequently been used for tissue regeneration, the efficacy of GelMA GHS in wound healing remains unknown. Here, GelMA GHS are fabricated using microfluidic-generated near-uniform microgels to study the effect of macropores on macrophage behavior in vitro, followed by assessing wound healing in a murine model of full thickness skin injury. Compared with the bulk hydrogel counterpart, macrophages interfaced with GHS secrete less interferon gamma (IFN-γ) and more insulin-like growth factor 1 (IGF-1), which show a transition to pro-healing activities. In addition, GelMA GHS improve the quality of wound healing via increasing the thickness of granulation tissue and downregulating inflammatory markers without affecting the wound closure rate. This work is a step forward in engineering GelMA scaffolds with tailored porosity for wound care.
Macroporous scaffolds overcome some of the barriers of bulk hydrogel scaffolds. Several studies demonstrated the benefits of GelMA scaffold macropores in promoting cell ingrowth and tissue regeneration.15–17 Granular hydrogel scaffolds (GHS), formed by interlinking packed (jammed) hydrogel microparticles (microgels), have microscale pores that are interconnected and enable rapid cell infiltration, tissue integration, and immunomodulation.13,18 GHS may be fabricated using varying microgel sizes to provide a range of cell-scale void spaces that promote cell infiltration and metabolite transport without requiring biodegradation.19–21 Cell infiltration within the interconnected void spaces enables the secretion and transport of GFs and cytokines that enhance cell signalling and downregulate pro-inflammatory responses to scaffolds.20 While GelMA bulk scaffolds have benefits in improving wound healing,22 the immune response and the quality of granulation tissue following healing with GelMA GHS have not yet been investigated. Here, we aim to investigate the pro-healing potential of GelMA GHS via in vitro macrophage function assessment, followed by in vivo implantation in a full-thickness murine wound model.
GelMA microgels are fabricated in two sizes, as shown in Fig. 1A and B, to assemble GHS with varying pore size distributions. The schematic (Fig. 1A) presents three biomaterial groups studied in this work, including bulk GelMA hydrogel (bulk) that is known to have nanoscale pores in its hydrated state,23–25 and GHS comprising large microgels (GHS-L) or small microgels (GHS-S), representing scaffolds with macroscale pores. Fig. 1Ai shows the GelMA chemical structure, and Fig. 1Aii schematically presents the inter- and intra-microgel covalent bond formation of GelMA polymer in GHS. Fig. 1B shows representative optical images of photocrosslinked microgels, which are near-uniform in size. Fig. 1C shows that the average diameter of photocrosslinked microgels is 83 ± 4 and 34 ± 4 μm for the large and small microgels, respectively.
The physically crosslinked microgels are packed and photocrosslinked using ultraviolet (UV) light to form GHS with interconnected void spaces, which are analyzed via fluorescence microscopy in Fig. 1D. The fluorescent dye occupies the void spaces of GHS without penetrating the microgels as a result of a high molecular weight. Fig. 1Di and Dii present the orthographic view of GHS-L and GHS-S, respectively. Fig. 1Diii and Div show the fluorescence images of void spaces among the microgels, and Fig. 1Dv and Dvi present the detected void area using a MATLAB code. The detected area was used to calculate the equivalent diameter of representative circles with the same area as the void spaces, showing that GHS-L had larger pores than GHS-S. Fig. 1E and F present the GHS void fraction and median equivalent pore diameter, respectively. The void fraction of GelMA GHS-L and GHS-S is 24 ± 1 and 25 ± 2% v/v, respectively. Additionally, the median equivalent pore diameter of GelMA GHS-L and GHS-S is 16 ± 2 and 9 ± 2 μm, respectively.
The mechanical properties of scaffolds were analyzed via compression tests and rheology. Fig. 1G shows the compressive stress–strain curves of a bulk scaffold, GHS-L, and GHS-S. At a given compressive strain, the compressive stress of GHS is smaller than the bulk counterpart as a result of macropores. The compressive modulus of scaffolds is calculated based on the slope of the compressive stress versus compressive strain in the linear region. Fig. 1H presents the average compressive modulus of the bulk scaffold, GHS-L, and GHS-S. The GHS-L has the lowest compressive modulus compared with the GHS-S and bulk GelMA scaffolds, which is attributed to the larger void space and weakened connections among the GelMA microgels per unit volume. The lower number density of microgel contact points and larger void space in GHS compared with the crosslinked polymeric network in the nanoporous (bulk) scaffold result in the difference in compressive modulus.13
Fig. 1I presents the scanning electron microscopy (SEM) images of dehydrated GHS-L and GHS-S, showing microgel-microgel connections. The dynamic moduli of scaffolds are shown in Fig. S1.† Fig. S1A† shows a schematic for the frequency sweep test. Fig. S1B† presents examples of scaffold dynamic moduli versus angular frequency at a constant, low oscillatory strain. The average storage modulus (G′) of GHS-L, GHS-S, and bulk scaffolds at the angular frequency of 1 rad s−1 and strain of 0.1% is 6400 ± 960, 6500 ± 1600, and 6700 ± 1800 Pa, respectively. The storage modulus of GHS is not significantly different than that of the bulk scaffold, whereas the compressive modulus of bulk scaffold is much higher than the GHS. In addition, the average loss modulus (G′′) of GHS-L, GHS-S, and bulk scaffold at the same angular frequency and strain is 1060 ± 270, 390 ± 70, and 530 ± 160 Pa, respectively, which are again not significantly different. Accordingly, the GHS and bulk scaffold behave similarly under oscillatory shear; however, the bulk scaffold has a significantly higher compressive modulus.
The GHS toxicity is assessed by interfacing them with NIH/3T3 murine fibroblast cells in vitro. Cells are seeded on top of GHS and allowed to penetrate, as schematically presented in Fig. 2A, followed by culturing for 5 days and conducting the live/dead (Fig. 2B) and PrestoBlue assays. Fig. 2B presents fluorescence images of live and dead cells in GHS-L, GHS-S, and the bulk hydrogel counterpart on days 1 and 5 of culture. Live cells are stained green with calcein acetoxymethyl (AM), while dead cell nuclei are stained red with Bobo-3 iodide. Dominant green areas indicate that the majority of cells are alive, and the red area show that some cells are dead. Fig. 2C shows the effect of microgel size on cell migration 3 days after seeding. Cell immediate penetration on day 0 (4 h after seeding) and migration length on day 3 are analyzed via measuring the distance of green CellTracker-stained cells from the surface of scaffolds. Qualitatively, the results show that the highest immediate penetration and long-term migration occur in GHS-L. Fig. 2D presents the cell viability quantification on days 1 and 5 after seeding, which show that the biomaterial and fabrication process do not induce any toxicity as the cell viability is ∼97 ± 3% on day 1 and ∼96 ± 2% on day 5. Interestingly, the PrestoBlue assay indicates a higher metabolic activity for the cells cultured in the GHS-L compared with those cultured in the GHS-S and bulk scaffolds (Fig. 2E). The metabolic activity increases ∼3.5, ∼2.6, and ∼1.8 fold on day 5 of culture for GHS-L, GHS-S, and bulk, respectively, compared with day 1. This may be a result of GHS-L larger pores, which enhance cell migration inside the scaffolds without the need for network degradation, providing the cells with more space to proliferate. Fig. 2F shows the average cell migration length in the scaffolds, topically seeded with the cells. The average cell immediate penetration length for GHS-L and GHS-S is 236 ± 28 and 93 ± 18 μm, respectively, 4 h after seeding. Additionally, the cell migration length increases to 308 ± 17 and 100 ± 18 μm for GHS-L and GHS-S, respectively, 3 days after seeding. Results suggest that the bulk scaffold does not support cell migration as a result of nanoscale pores. Additionally, in 3 days, cells migrate approximately 71 ± 29 μm in GHS-L and 7 ± 3 μm in GHS-S. Thus, GHS-L facilitate cell migration and proliferation significantly more than the other study groups.
The immune response to the GHS is evaluated in vitro using bone marrow-derived macrophages (BMDM). The isolated BMDM are cultured and activated overnight with lipopolysaccharide (LPS) to create an inflammatory environment in vitro, as shown in Fig. 2G. The culture media are then harvested after 2 days of cell culture with the scaffolds, and flow cytometry and an enzyme-linked immunosorbent assay (ELISA) are used to measure phenotype changes and the concentration of key secretomes, respectively. Fig. S2† shows the polarization of pro-inflammatory macrophages toward anti-inflammatory phenotypes, identified using flow cytometry. The results show the ratio of CD38+ cells (M1) is 78 ± 6% for GHS-L, compared with approximately 95% in the other study groups. Additionally, the average ratio of CD206+ cells (M2) is 22 ± 2% for GHS-L, while it remains around 3% in the other study groups. Accordingly, GHS-L macropores can modulate the inflammatory function of macrophages and direct them toward anti-inflammatory phenotypes. Fig. 2H–K show the ELISA analysis of interferon-gamma (IFN-γ), vascular endothelial growth factor (VEGF), insulin-like growth factor 1 (IGF-1), and interleukin 10 (IL-10) secretion, respectively, in the harvested media of control (no scaffold), bulk scaffold, GHS-L, and GHS-S. Fig. 2H shows a decrease in IFN-γ secretion in GHS-L and GHS-S compared with the control (no treatment). Additionally, GHS-L yields a lower IFN-γ secretion compared with its bulk counterpart. Fig. 2I and J show an increase in immunomodulatory GFs, VEGF and IGF-1, in GHS-L and GHS-S compared with the control. Interestingly, the secretion of IGF-1 in both GHS is significantly higher than that in the bulk scaffold counterpart. Fig. 2K shows that there are no significant differences in the secretion of IL-10 cytokine among the study groups. These results indicate the immunomodulatory capabilities of porous GHS-L and GHS-S, stimulating the secretion of anti-inflammatory markers and GFs by the immune cells, which are in accordance with other types of GHS.20,26
According to the in vitro results, specifically comparing the cell migration length, metabolic activity, and in vitro immune response in GHS-L and GHS-S, we select GHS-L (called GHS for simplicity through the rest of this work), as they provide a more suitable microenvironment for cell migration, which is beneficial for wound healing.21 The cascade of cell behavior pertaining to the healing of skin wounds may be improved by mechanical (e.g., an external substrate) and chemical stimuli (e.g., cytokines and GFs).27 Wound healing requires a complex interplay of immune response (i.e., pro-inflammation and anti-inflammation),12,27 cell migration,21 and tissue regeneration.26,28 Accordingly, an animal study is conducted using a full-thickness murine wound model. The wound is made using an ∼1 cm circular biopsy punch,29,30 as schematically shown in Fig. 3A. After forming the wound on the dorsum, a prefabricated scaffold is implanted as a treatment and secured with a Tegaderm, covering the wound area. Wound closure is monitored for 11 days after surgery. The splint-free wound model has previously been shown to enable wound closure of untreated wounds with an initial diameter of 6 mm within 8 days.31Fig. 3B presents the wound closure area on days 1, 4, 7, and 11 after surgery for the control (no treatment), bulk scaffold, and GHS. The results show an improvement in the healing rate of all the study groups in 11 days. A similar wound closure rate is observed on day 11 for all the study groups, possibly as a result of the healthy condition of wild-type animals in which wounds close gradually through natural regeneration mechanisms (Fig. 3C). Wound closure mechanism in the wild-type animal model, while different from humans, results from re-epithelialization and granulation tissue formation, which are also involved in human wound healing.31,32
Wound closure is one of the many factors reflecting the effectiveness of a treatment for wound healing. It has been reported that excessive wound contraction leads to scarring and poor-quality wound healing.33 We further investigate wound healing quality through histological analyses. Hematoxylin and eosin (H&E) staining and Masson's trichrome combined with immunofluorescence staining for cluster of differentiation 31 (CD31), an endothelial cell marker demonstrating the infiltration of endothelial cells, F4/80, a macrophage cell marker, and CD80, a pro-inflammatory cell marker, are used to assess the granulation tissue and collagen deposition, as well as endothelial cell, macrophage, and pro-inflammatory cell infiltration in different treatment groups, respectively. Fig. 3D shows the H&E-stained images of harvested tissue for the control, bulk, and GHS. The wounded area is shown, and the granulation tissue thickness is analyzed by measuring the thickness of regenerated tissue. Additionally, Fig. S3A† presents the schematic of skin wound and normal tissue, as well as an H&E image of normal skin tissue, showing the epidermis and dermis layers of tissue prior to the wound formation. Fig. 3E presents the granulation tissue thickness (also see Fig. S3B and S3C†) of control, bulk, and GHS. Additionally, the dermis thickness of normal skin (without wound) is analyzed (Fig. S3D†). The granulation tissue thickness using the GHS treatment increases ∼1.8 and ∼1.3fold compared with the control and bulk scaffold, respectively. As shown in Fig. 3D and E, the granulation tissue thickness is significantly higher in GHS compared with the bulk hydrogel scaffold counterpart and no treatment, which may be attributed to a higher tissue integration with the porous GHS. Consistent with our results, GelMA porous scaffolds enabled tissue regeneration after volumetric muscle loss,34 and PEG-based GHS triggered tissue regeneration.26
Angiogenesis throughout the granulation tissue plays a significant role in the wound healing process.35 Accordingly, the infiltrated endothelial cells are stained with the CD31 marker. Fig. 3F shows the fluorescence images of CD31 stained cells in green and DAPI (cell nuclei) in blue for the control, bulk, and GHS. Qualitatively, the area marked in green is higher in GHS and bulk compared with the control. Fig. 3G presents the CD31 positive cell quantification for the study groups. The average of CD31 positive cells (total positive pixels) normalized with the tissue area is 384 ± 338, 634 ± 222, and 1325 ± 713 pixel per mm2 for the control, bulk, and GHS, respectively. While no significant difference in CD31 positive cells is obtained among the study groups, an increase in the average of endothelial cell number in GHS and bulk scaffold compared with the control is noticed. This may be attributed to a significantly higher level of VEGF secretion in GHS and bulk scaffold compared with the control (Fig. 2I). Overall, the results are consistent with our previous findings that introducing porosity in biodegradable scaffolds increases cell infiltration, enables vascularization, and remodels the scaffolds toward tissue regeneration.34
Additionally, to assess collagen deposition and inflammation within the wound bed, respectively, tissue sections are stained with Masson's trichrome (Fig. S4A†) and immunofluorescence-stained with F4/80, a well-established marker for mouse macrophage populations, and CD80, a marker for inflammation (Fig. S4C†).36 The average of collagen deposition area within the wound bed is 9.9 ± 6.7, 17.2 ± 5.0, and 19.5 ± 6.0 mm2 for the control, bulk, and GHS, respectively (Fig. S4B†). While no significant difference in the area of collagen deposition is obtained among the study groups, an increase in the average collagen deposition in GHS and bulk scaffolds compared with the control is noticed. The low number of F4/80 positive and CD80 positive signals shows that GelMA scaffolds do not induce inflammation within the wound bed (Fig. S4D and S4E†).
Together, the results imply that GelMA GHS enhance skin wound healing quality by promoting cell infiltration, metabolic activity, and partial pro-healing immune responses. Additionally, GelMA GHS improve granulation tissue thickness compared with the bulk GelMA scaffold counterparts. These findings highlight the potential of GelMA GHS as effective scaffolds for wound healing, which may warrant further biomaterial modifications to promote vascularization and immune modulation.
:
crosslinker weight ratio of 10
:
1 were mixed and poured over nanofabricated wafers and cured at 70 °C for 1 h. After air plasma treatment (Plasma Cleaner, Harrick Plasma, NY, USA), the cured PDMS devices were bonded to microscope glass slides (VWR, PA, USA) in an oven at 70 °C for 1 h.
:
1 volume ratio of a solution including 20% v/v 1H,1H,2H,2H-perfluoro-1-octanol (PFO, Alfa Aesar, MA, USA) in Novec 7500 and centrifuged at 300g for 15 s to remove the oil phase. The GelMA microgels were suspended in the LAP solution (0.1% w/v of LAP in DPBS) and were packed via centrifugation at 3000g for 15 s. The packed microgels were transferred to acrylic molds (diameter = 10 mm and height = 3 mm) and photocrosslinked via UV light (395–405 nm) exposure for 30 s at the intensity of 15 mW cm−2.
:
20, CA, USA) at room temperature, and then stained on ice with fluorophore-labeled antibodies against CD38 (BioLegend, 1
:
100, CA, USA), CD206 (BioLegend, 1
:
100, CA, USA), and e45o fixable viability dye (eBioscience, 1
:
1000, CA, USA). Cells were fixed, then washed twice with FACS buffer and analyzed by flow cytometry (Bio-Rad, CA, USA).40,41 The experiments were performed with n ≥ 4 for each group.
Cell viability was measured using live/dead cell imaging kit (Invitrogen, MA, USA) on days 1 and 5 after seeding (n = 3) in accordance with the manufacturer protocol. Live cells were stained in green using calcein-AM (1 mL, 1 μM), and dead cells were stained in red using BOBO-3 iodide (1 μL, 5 μM). The samples were incubated at 25 °C for 30 min, rinsed with DPBS, and imaged using the Leica DMi8 fluorescence microscope (Leica Microsystems, Germany).
The metabolic activity of cells was analyzed using the PrestoBlue cell viability assay (10% v/v in DMEM, Invitrogen, MA, USA) (n = 5) on days 1, 3, and 5 post-seeding. For each scaffold, 1 mL of PrestoBlue solution (10% v/v) was incubated at 37 °C for 3 h, followed by collecting 100 μL of supernatant and transferring to 96-well cell culture plates (CELLSTAR, Greiner Bio-One, Austria). The fluorescence intensity was recorded (excitation wavelength = 530 nm and emission wavelength = 590 nm) using a Tecan Infinite M Plex microplate reader (Männedorf, Switzerland).
000 stained cells in 20 μL of complete culture media were seeded on each scaffold, followed by incubation at ambient temperature for 30 min to allow cell adhesion. Later, complete culture media were added, and the scaffolds were incubated at 37 °C under a 5% v/v CO2 atmosphere for 72 h. Finally, samples were sectioned using a razor blade (VWR, PA, USA) and imaged using the Leica DMi8 fluorescence microscope (Leica Microsystems, Germany). Image analysis was conducted using the ImageJ software (FIJI, version 1.53t, NIH, MD, USA).42
Sectioned samples were stained with H&E according to a standard protocol.44 Briefly, samples were soaked in 95% v/v ethanol, followed by rinsing in deionized (DI) water. Samples were then incubated in hematoxylin (Leica Biosystems, IL, USA) for 2 min and rinsed with DI water, followed by incubation for 30 s in the bluing agent (Leica Biosystems, IL, USA) and rinsing with DI water. Later, samples were incubated in ethanol 95% v/v for 30 s, followed by 3 min incubation in eosin (Leica Biosystems, IL, USA). Stained sections were drained and washed with 100% v/v ethanol three times, and finally washed with toluene (Fisher scientific, IL, USA). A cover glass was mounted over the stained tissues using Permount Mounting Medium (Fisher scientific, IL, USA). Stained samples were imaged using the brightfield channel of a Zeiss Axio Observer microscope (Zeiss, Germany).
Preserved samples were stained with CD31, an endothelial marker. Briefly, samples were rinsed three times with DPBS, followed by antigen retrieval using citrate buffer (pH = 6, MilliporeSigma, MA, USA) at 60 °C overnight. Samples were blocked with normal goat serum (2.5% w/v, MilliporeSigma, MA, USA) for 30 min. The sections were incubated with rat anti-CD31 (ab56299, 1
:
100, Abcam, CA, USA) overnight at 4 °C. The sectioned samples were rinsed three times with DPBS and incubated with goat anti-rat immunoglobulin G (IgG) Alexa Fluor 488 (A-11006, 1
:
1000, Thermo Fisher Scientific, IL, USA) secondary antibody at room temperature for 1 h, followed by rinsing three times with DPBS and mounting with a cover glass using glycerin (50% v/v, Fisher scientific, USA) with DAPI (DAPI
:
glycerin = 1
:
100, Invitrogen, IL, USA). CD31-stained samples were imaged using the Zeiss Axio Observer fluorescence microscope (Carl Zeiss Inc, Germany).
Masson's trichrome stain kit (connective tissue stain, ab150686, Abcam, CA, USA) was used according to a standard protocol. Briefly, samples were hydrated in distilled water for 165 min. Bouin's fluid was preheated to 56–64 °C in a water bath under a fume hood, and samples were immersed in the fluid for 60 min. The slides were then rinsed under tap water until becoming clear, followed by rinsing in distilled water. Afterward, samples were stained with Weigert's iron hematoxylin for 5 min, then rinsed under running tap water for 2 min. Biebrich scarlet/acid fuchsin solution was applied for 15 min, followed by another rinse in distilled water. The phosphomolybdic/phosphotungstic acid solution was used for differentiating the samples for 15 min, followed by applying the aniline blue solution for 10 min and a rinse in distilled water. Acetic acid solution (1%) was applied to the samples for 5 min. Samples were dehydrated quickly through two changes of 95% v/v ethanol, followed by two changes of 100% v/v ethanol. They were then cleared in xylene, and a cover glass was mounted over the stained tissues using Permount Mounting Medium (Fisher scientific, IL, USA). Stained samples were imaged using the brightfield channel of a Keyence microscope (BZ-X800, Keyence Corporation, Japan).
Immunofluorescent staining was conducted on skin tissue samples following the treatment described in the H&E section. Preserved samples were stained with FITC anti-mouse F4/80 antibody (123107, 1
:
200, BioLegend, CA, USA), a well-established marker for detecting macrophages in mice, and PE anti-mouse CD80 antibody (104707, 1
:
200, BioLegend, CA, USA), a subtype associated with pro-inflammatory responses.36,40 The CD80 marker served as an indicator of inflammation in the treated areas. Briefly, tissue sections were first rehydrated in PBS for 5 min, followed by incubation with 10% normal goat serum for 30 min in a humid chamber. Samples were incubated overnight at 4 °C with anti-mouse F4/80, CD80, and DAPI to visualize macrophages, cells with pro-inflammatory markers, and cell nuclei, respectively. Imaging was performed using a Keyence microscope (BZ-X800), and widefield fluorescent images were captured; green is F4/80+ cells, red is CD80+ cells, and blue is DAPI. Image analysis was conducted via quantifying the number of stained pixels within a region of interest (0.5 mm × 0.5 mm) in the wound bed using the ImageJ software (FIJI, version 1.53t, NIH, MD, USA).42
Footnotes |
| † Electronic supplementary information (ESI) available: Proton nuclear magnetic resonance (1H NMR) spectroscopy, GHS drying and SEM imaging, and Fig. S1–S5. See DOI: https://doi.org/10.1039/d4bm01062k |
| ‡ These authors contributed equally to the work. |
| This journal is © The Royal Society of Chemistry 2025 |