Skip to main content
Nature Communications logoLink to Nature Communications
. 2023 Nov 29;14:7856. doi: 10.1038/s41467-023-43364-2

A click chemistry-mediated all-peptide cell printing hydrogel platform for diabetic wound healing

Jinjian Huang 1,#, Rong Yang 2,3,#, Jiao Jiao 4,#, Ze Li 1, Penghui Wang 2, Ye Liu 5, Sicheng Li 1, Canwen Chen 1, Zongan Li 6, Guiwen Qu 5, Kang Chen 1, Xiuwen Wu 1,, Bo Chi 2,, Jianan Ren 1,
PMCID: PMC10687272  PMID: 38030636

Abstract

High glucose-induced vascular endothelial injury is a major pathological factor involved in non-healing diabetic wounds. To interrupt this pathological process, we design an all-peptide printable hydrogel platform based on highly efficient and precise one-step click chemistry of thiolated γ-polyglutamic acid, glycidyl methacrylate-conjugated γ-polyglutamic acid, and thiolated arginine-glycine-aspartate sequences. Vascular endothelial growth factor 165-overexpressed human umbilical vein endothelial cells are printed using this platform, hence fabricating a living material with high cell viability and precise cell spatial distribution control. This cell-laden hydrogel platform accelerates the diabetic wound healing of rats based on the unabated vascular endothelial growth factor 165 release, which promotes angiogenesis and alleviates damages on vascular endothelial mitochondria, thereby reducing tissue hypoxia, downregulating inflammation, and facilitating extracellular matrix remodeling. Together, this study offers a promising strategy for fabricating tissue-friendly, high-efficient, and accurate 3D printed all-peptide hydrogel platform for cell delivery and self-renewable growth factor therapy.

Subject terms: Biomedical materials, Gels and hydrogels, Gels and hydrogels


Diabetic wounds are challenging to heal, with vascular injury induced by high glucose a key pathological factor. Here, the authors report a hydrogel designed to interrupt the process of vascular injury, with angiogenic capacity.

Introduction

Diabetes mellitus (DM) is a chronic metabolic disorder that affects almost 463 million adults worldwide. Its incidence is continuously growing due to increasing population age1. Approximately a quarter of DM patients develop diabetic foot ulcers (DFUs), with a five-year mortality rate of 30.5%, which is similar to that of cancer (31%)2. DFUs are associated with chronic pain, decreased self-care abilities, prolonged infections, high risk of foot amputation, and heavy economic burdens of roughly US$ 8.5 billion globally3. Conservative medical treatments, such as off-loading therapy, negative pressure therapy, surgical debridement, and antibiotics, often do not achieve satisfactory outcomes and are associated with adverse effects4,5. Therefore, efforts to develop new therapies for such complicated and chronic wounds are required.

The process of wound healing includes three overlapping and dynamic phases of inflammation, proliferation, and tissue remodeling6. Throughout the entire process, angiogenesis plays fundamental roles by facilitating immune cell migration, increasing nutrition and oxygen supply, and modulating scar formation7,8. Unlike non-diabetic wounds, the initiation of angiogenesis is impaired in diabetic wounds due to high glucose (HG)-induced endothelial cell damage and organelle dysfunction911. The resultant poor vascularization of wounds leads to tissue hypoxia and triggers the activation of hypoxia-elicited inflammation cascade12,13, consequently impeding the wound-healing process. Thus, the angiogenic function is a major target of new therapies for diabetic wound healing.

In recent years, growth factors, such as vascular endothelial growth factor (VEGF), have shown promising results regarding improving diabetic wound healing14. VEGF has different actions depending on the VEGF receptor (VEGFR) that is stimulated. VEGFR-1 mainly promotes inflammation, while VEGFR-2 contributes to angiogenesis15. A higher expression of VEGF is associated with improved outcomes of DFUs16. However, a meta-analysis on clinical trials of growth factors revealed that the efficacy of growth factors for diabetic wound healing remains questionable and varies with their category, usage, and frequency17. This is partially due to the inability of growth factors to stimulate wound healing because they are diluted and flushed away by wound exudation or inactivated with time due to hydrolysis by tissue proteases18,19. Moreover, diabetic wound care consumes longer time and is a great nursing load to appropriately care for the dressings that contain growth factors20. These dressings supplement the wounds with the required growth factors.

Several previous studies have reported on different growth factor delivery systems that can prolong the release time21,22, have smart releasing profiles23, or increase protein stability24. These systems were based on intelligent hydrogels, polymeric fibers, microspheres, microbubbles, diverse nanoparticles, liposomes, and other hybrid materials2527, which have enhanced therapeutic effects on tissue repair. However, concerns still exist regarding the dose attenuation or inactivation of growth factors during prolonged periods of diabetic wound healing since the growth factors are not self-supplemented. The use of cellular vehicles to release therapeutic agents has recently offered the prospect of biocompatibility, large-loading capacity, and long in vivo lifespan28. Still, to replenish diabetic wounds with continuous and self-renewable VEGF was rarely explored and challenging.

Moreover, in case of urgent needs for complicated wounds, the majority of drug carriers are not able to present customized shapes29, thus creating gaps between bench and bedside. Hence, it is critical to develop delivery systems that can achieve shape-adaptation promptly and produce growth factors continuously for wounds to accelerate healing. Digital light processing (DLP) printing is a high-resolution fast-speed additive manufacturing technology that forms desirable 3D structures through photopolymerization reaction to solidify hydrogels30, which has been considered a type of promising biomaterial effective for wound healing3134. Some traditional peptide-based hydrogel bioinks have been developed for cell-based photocuring printing such as methacrylate gelatin35, methacrylate silk36, and methacrylate decellularized extracellular matrix37. The photocuring printability and cytocompatibility of these biomaterials are well characterized. Nevertheless, these bioinks present uncontrollable variability in their composition between batches due to the differences in sources and processing methods38, thus making them less reproducible and stable during applications. Therefore, it is of great importance to produce a similar all-peptide bioink but with a definite chemical composition.

In this work, we design a cell-printable hydrogel platform using thiolated γ-polyglutamic acid (γ-PGA-SH), glycidyl methacrylate-conjugated γ-polyglutamic acid (γ-PGA-GMA), and thiolated arginine-glycine-aspartate (RGDC) sequences, in which RGDC is an integrin receptor that supports cell adhesion and spread (Fig. 1A, B). This platform is constructed via one-step gelation with the inherent characterizations of high efficiency and precision of thiol-ene click reaction (Fig. 1C). The resultant peptide-based hydrogel platform holds promise as efficacious cell and growth factor delivery vehicles and creates a living material that closely mimics the physicochemical properties of skin tissue. Moreover, human umbilical vein endothelial cells (HUVECs) are genetically modified to HUVECsvegf165+ with the lentivirus carrying the VEGF 165 transcript for overexpression (Fig. 1D). In contrast to the traditional strategy of loading growth factors, the resultant HUVECsvegf165+ that play the role of cellular vehicles are responsible for the successive generation of VEGF 165 when the cells are loaded into the hydrogel platform by DLP printing. Although previous studies have shown the effectiveness of VEGF in diabetic wound healing, the underlying mechanisms are not fully clear and are attributed to tissue angiogenesis. We clearly elucidate the signaling mechanism of VEGF 165, which hinders Bax-induced pore formation on mitochondrial membranes (MMs), thus improving apoptosis of endothelial cells and reserving the potential for vascularization. Then, using a diabetic rat model, the therapeutic efficacy of such a cell-laden hydrogel platform in diabetic wound healing is evaluated comprehensively (Fig. 1E), including wound closure rate, angiogenesis, epithelialization, scar risks, hair formation, stromal cell metabolism, tissue hypoxia, and inflammation.

Fig. 1. Design of cell-printable peptide hydrogel platform to produce self-renewable VEGF 165 for diabetic wound healing.

Fig. 1

A Synthetic routes of γ-PGA-GMA and γ-PGA-SH. RT, room temperature. B Chemical structure of RGDC, which presents additional thiol groups compared to RGD. C One-step generation of all-peptide hydrogels using thiol-ene click reaction of γ-PGA-GMA with γ-PGA-SH and RGDC. LAP, a type of photoinitiator stimulated by blue light. D Transfection of VEGF 165 transcript-carried lentivirus in HUVECs for overexpressing VEGF 165. E Printing the HUVECvegf165+-laden peptide hydrogels for diabetic wound healing using sustained-release VEGF 165.

Results

One-step light curing all-peptide hydrogel was designed and optimized

γ-PGA-GMA was synthesized by the epoxy ring opening reaction of γ-PGA and GMA. The synthesis of γ-PGA-GMA was confirmed by the 1H nuclear magnetic resonance (NMR) and Fourier transform infrared (FTIR) spectra. As shown in Fig. 2A, the spectrum of γ-PGA-GMA presented two newly emerged peaks at 6.27 ppm (a) and 5.64 ppm (b), both of which corresponded to the protons of the vinyl groups (C = C) of GMA. Comparing the integral areas of vinyl group signals at 5.64–6.27 ppm with those of the methine proton signals at 4.13–4.52 ppm (c), the substitution degree of GMA was calculated to be 28%. In the FTIR spectrum (Fig. 2B), the absorption peak at 1637 cm−1 appeared in γ-PGA-GMA, which was attributed to the vinyl groups of GMA, thus further validating successful conjugation.

Fig. 2. Synthesis and optimization of the all-peptide hydrogels.

Fig. 2

A 1H NMR spectrum of modified γ-PGA. a: δ = 6.27 ppm; b: δ = 5.64 ppm; c: δ = 4.13–4.52 ppm; d: δ = 3.36 ppm; e: δ = 2.87 ppm; f: δ = 4.13–4.52 ppm. B FTIR spectrum of modified γ-PGA. C Time-sweep rheological tests of the hydrogels with five cycles of blue light on and off. D Representative images of hydrogel micromorphology based on three repeated experiments with similar results. E Morphological analysis revealed the reduction in pore size and increase in pore density with increase in polymer concentration. n = 3 independent experiments. F Rheological results showing an increase in G′ of hydrogels when the polymer concentration is increased. n = 3 independent experiments. G Representative compressive stress-strain curves of different hydrogels. H Compressive strength of hydrogels with relatively high polymer concentration (Gel 3 and Gel 4) is increased compared to that of hydrogels with lower polymer concentration (Gel 1 and Gel 2). n = 3 independent experiments. I Strain at break of hydrogels is decreased with increase in polymer concentration. n = 3 independent experiments. J Fracture energy of Gel 3 is the highest among all the groups of hydrogels. n = 3 independent experiments. The p values in the figures (F, HJ) are determined by one-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. ns not significant. Source data are provided as a Source Data file.

Moreover, γ-PGA-SH was prepared by a facile one-step lactamization reaction between the amino groups of cysteamine and the carboxyl groups of γ-PGA. The 1H NMR and FTIR spectra were used to verify the modification of thiol groups. As shown in Fig. 2A, new resonant peaks of γ-PGA-SH at 3.36 ppm (d) and 2.87 ppm (e) were clearly observed, which were assigned to the methyne (NH2CHCOOH-) and terminal methylene (SHCH2-) of γ-PGA-SH, respectively. The fraction of thiol groups conjugated on γ-PGA was estimated to be 46% based on the integration ratio of the methyne units at 3.25–3.56 ppm to α-protons of γ-PGA backbone at 4.13–4.52 ppm (f). Moreover, the FTIR spectrum of γ-PGA-SH revealed a new -SH stretching peak at 2596 cm−1 (Fig. 2B), which confirmed the success of modification as well.

γ-PGA-GMA, γ-PGA-SH, RGDC, and a photoinitiator LAP were simply mixed to produce hydrogels based on thiol-ene click reaction. The click reaction refers to an approach to develop a set of fast, highly reliable, yield, and selective reactions for the rapid synthesis of useful new compounds and combinatorial libraries through heteroatom links (C-X-C)39,40. To examine the feasibility of gelation and optimize the physical properties of hydrogels, γ-PGA-GMA and γ-PGA-SH with the different constitutions (4.5, 5.0, 5.5, and 6.0 w/v%) were applied, which were named as Gel 1, Gel 2, Gel 3, and Gel 4 with increasing polymer concentrations (Supplementary Table 1). The hydrogel could be crosslinked quickly upon exposure to blue light (n = 405 nm) because the change in the storage modulus (G′) of Gel 2 was tightly coordinated to the control of light on and off (Fig. 2C). Compared with our previously reported γ-PGA-based hydrogel, addition of LAP in the pre-gel mixture significantly reduced gelation time from over 7 min to within 20 s, and saved materials41, which made this gel formula more suitable as a bioink for photocuring printing.

Moreover, we further investigated the reactivity of RGDC upon blue light exposure of the aqueous solution by mixing RGDC (0.1 w/v%) and γ-PGA-GMA (5.0 w/v%). Following sufficient dialysis of post-reactive γ-PGA-GMA, new resonance signals in the range of 2.8–2.9 ppm (g), attributed to RGDC peptide sequences, appeared, and the peak of the vinyl groups at 5.64–6.27 ppm was reduced with almost 21% of γ-PGA-GMA modified with RGDC (Supplementary Fig. 1). The findings showed that the thiol-ene click reaction involved not only γ-PGA-GMA and γ-PGA-SH but also γ-PGA-GMA and RGDC. In other words, RGD, the important cell adhesion peptide sequence, existed in the gel system in a stable state of covalent crosslinking rather than a free state41, which created a persistently cell-attachable and -friendly hydrogel scaffold42.

The variation of polymer concentrations regulated the physical properties of the all-peptide hydrogel. Figure 2D, E revealed that the increase in polymer concentration decreased the pore size and improved pore density because of the enhanced crosslinking of polymers. Moreover, as shown in the rheological curves (Supplementary Fig. 2), the G′ of hydrogels was increased with the increase in polymer concentration (Fig. 2F). The compressive strain-stress curves of different hydrogels are depicted in Fig. 2G. It showed that the compressive strength was gradually increased, but the strain at break was decreased due to the increase of polymer concentrations (Fig. 2H, I). Gel 3 presented the largest fracture energy, as a result of balance in compressive stress and flexibility (Fig. 2J). Moreover, the swelling ratio of Gels 3 and 4 was larger than that of Gels 1 and 2 (Supplementary Fig. 3), and their stability was also improved compared to that of Gels 1 and 2 (Supplementary Fig. 4), even though all hydrogels achieved complete hydrolysis. In the hemolysis test, the hemolysis rates of Gels 1, 2, 3 and 4 were <1% (Supplementary Fig. 5), which indicated perfect cytocompatibility43.

High-efficiency and accurate DLP printing platform was generated based on the all-peptide hydrogel

The formula of Gel 3, which presented optimal mechanical properties, was chosen for the evaluation of DLP printability. DLP printing is an advanced light-curing printing technology that can trigger localized photo-polymerization using a digital projection and enables fast and precise printing of 3D hydrogel structures44,45. The light exposure time and layer thickness may influence the efficiency and accuracy of printed products. The choice of printing parameters often varies for different bioinks4648. Therefore, we tried to determine the optimal parameters for printing the hydrogels in the optimal manner.

As shown in Fig. 3A, a flat cylinder used as the printing prototype was designed and tested with each layer separately exposed to blue light for 16, 24, 32, or 40 s. The prolongation in each layer’s light exposure time led to increased total printing time and reduced efficiency (Fig. 3B). However, the appropriate extension of light exposure time increased the printing accuracy of the cylinder by forming a tangent angle of adjacent planes closer to 90° (Fig. 3C). With the increase in G′, the mechanical strength of the created hydrogels was improved by the prolongation of light exposure time (Fig. 3D). Given the balance of printing rate, accuracy, and mechanical properties, a light exposure time of 32 s was chosen for this study.

Fig. 3. DLP printability of the all-peptide hydrogel.

Fig. 3

A Flat cylinder model for the determination of the optimal blue light exposure time per layer. B Prolongation of the light exposure time of each layer increased the printing time and reduced the efficiency. C Prolongation of the light exposure time of each layer increased the printing accuracy by forming a tangent angle of the corner closer to 90°. D Prolongation of the light exposure time of each layer increased the storage modulus (G′) of the printed cylinder hydrogel. n = 3 independent experiments. E Flat cylinder model for the determination of the optimal printing layer thickness. F Increase in layer thickness significantly reduced the printing time. G Increase in layer thickness slightly impaired the printing accuracy by forming a tangent angle of the corner further away from 90°. H Increase in layer thickness slightly impaired the storage modulus (G′) of the printed cylinder hydrogel. n = 3 independent experiments. I Comb model for the determination of printing resolution. J Real printed comb with the printing resolution reaching 0.5 mm because the gap at 0.5 mm was the minimum distance required to separate adjacent comb teeth. Scale bars = 5 mm. K Printing microtube models with the wall thickness at 0.5 mm. The wall thickness of real microtubes was measured to be 0.622 mm, reflecting that the printing error was 0.122 mm. Scale bar = 5 mm. L DLP printing of customized objects in different shapes, including hexagonal petals, microporous scaffolds, and ear models. Scale bars = 5 mm. The p values in the figures (D and H) are determined by one-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. ns, not significant. R radius, H height, W width, T thickness. Source data are provided as a Source Data file.

Then, we printed the cylinder by adjusting the layer thickness from 0.1 to 0.4 mm (Fig. 3E). The increased layer thickness significantly reduced the printing time (Fig. 3F). Moreover, printing accuracy was slightly impaired due to the fact that the tangent angle of the adjacent planes was further away from 90° when the layer thickness was increased (Fig. 3G). There was a decline in the mechanical strength of the printed hydrogels when the layer thickness was increased (Fig. 3H). Taking into account the printing efficiency, accuracy, and mechanical properties, we selected a layer thickness of 0.2 mm for the following experiments.

To further determine the resolution of DLP-printed hydrogels, we designed a comb model with the gradient distance of neighboring comb teeth ranging from 3 mm to 0.25 mm (Fig. 3I). The comb model was delicately printed on the platform with a small quantity of uncrosslinked bioink sticking to the surface. After removal of the redundant bioink by immersing the comb in water, the intervals of comb teeth were better visualized until the distance was shortened to 0.5 mm, at which the comb tooth was able to be lifted. When the interval distance was set as 0.25 mm, the gap between comb teeth disappeared. These results implied that the printing resolution could reach 0.5 mm (Fig. 3J). In order to figure out the printing error range, we designed a microtube array in which the wall thickness of the microtube was 0.5 mm. After printing, the wall of the microtube was measured as 0.622 mm under confocal microscopy by staining the wall using fluorescein isothiocyanate (FITC). Therefore, the printing error was calculated to be 0.122 mm (Fig. 3K). This finding could interpret the disappearance of the comb teeth’s gap at the interval of 0.25 mm because the printing error range of adjacent comb teeth was accumulated to nearly 0.25 mm. Based on the resolution and fidelity of DLP printing of the γ-PGA hydrogel, differently-shaped objects were printed, such as hexagonal petals, microporous scaffolds, and ear models (Fig. 3L).

HUVECsvegf165+ were co-printed using the all-peptide bioink and demonstrated satisfactory cell survival and proliferation

A specific lentivirus plasmid (pHS-AVC-1580) was constructed to infect HUVECs, which contained the transcripts encoding the restriction endonucleases of NheI and PvuII, the green fluorescence protein (GFP) of mNeongreen, puromycin N-acetyl-transferase for neutralizing puromycin, and VEGF 165 (Fig. 4A). The lentivirus plasmid (pHS-AVC-ZQ328) without the VEGF 165 transcript was used as control. The gene sequence and structure of the VEGF 165-overexpressing lentivirus plasmid were verified by gene sequencing and DNA electrophoresis after digestion with NheI and PvuII. Figure 4B confirms the presence of VEGF 165 transcript signals, and Fig. 4C shows that plasmid fragments conformed to their expected size after digestion.

Fig. 4. Co-printability of HUVECsvegf165+ using the all-peptide bioink.

Fig. 4

A Structure of VEGF 165-overexpressing lentivirus plasmid, pHS-AVC-1580. Red frameworks mark the two restriction endonucleases of NheI and PvuII for cutting off the plasmid in the later validation experiment. B Gene sequencing identifies the VEGF 165 sequence in the plasmid. C Size of two fragments of VEGF 165-overexpressing lentivirus plasmid cut off by NheI and PvuII restriction endonucleases conforms to the expectations (e.g., 7409 bp and 2654 bp). Two independent experiments have confirmed similar results. D IVIS spectrum of HUVECvegf165+-laden hydrogel sheets when cultured for different time periods. E Quantitative analysis of the radiant efficiency of cell sheet IVIS images when cultured for different time periods. n = 3 independent experiments. F Z-axis stacking of the cell sheets using confocal microscopy when cultured for different time periods. G CCK-8 analysis of cell proliferation after different culture time periods. n = 3 independent experiments. H High-fidelity HUVECvegf165+-laden microporous scaffold embedded with homogeneous cells. The p values in the figures (E and G) are determined by one-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. Source data are provided as a Source Data file.

After infection by the control and VEGF 165-overexpressing lentiviruses and selection with puromycin, HUVECsvector and HUVECsvegf165+ were successfully generated with the percentage of GFP+ cells up to >90% (Supplementary Fig. 6A, B). VEGF signals in HUVECsvegf165+ were significantly increased compared to those in HUVECsvector (Supplementary Fig. 6C, D). Flat cylinder-shaped cell sheets were fabricated by co-printing HUVECsvegf165+ (1 × 105 cells/mL) with the all-peptide bioink. Following the culture of cell sheets, GFP intensity was gradually improved under the imaging of IVIS spectrum (Fig. 4D, E), implying that the cell transcriptional activity was maintained and cell counts may be increased. To further determine the cell proliferation, z-axis stacking on the cell sheets was performed using confocal microscopy, which revealed an increase in cell number (Fig. 4F). Moreover, the cell count kit-8 (CCK-8) assay also confirmed the apparent proliferation of HUVECsvegf165+ in the cell sheets (Fig. 4G).

Additionally, we investigated the spatial controllability of cells based on the DLP-printed all-peptide bioink. As shown in Fig. 4H, a HUVECvegf165+-laden microporous hydrogel scaffold was printed, which presented a network structure. The confocal mosaic imaging of the scaffold further revealed that these HUVECsvegf165+ were embedded in the network structure homogeneously.

HUVECvegf165+-laden hydrogel released VEGF 165 in a self-renewable manner, promoted angiogenesis in vitro, and protected endothelial cells from HG-induced injuries via inhibiting Bax-elicited mitochondrial perforation

By loading living cells, the HUVECvegf165+-laden hydrogel was considered to be a living material with a remarkable self-renewal ability of VEGF 165, which is a splice variant of VEGFA that can be secreted extracellularly4951. To verify this, we compared the releasing kinetics of VEGF 165 of HUVECvegf165+-laden hydrogel, HUVECvector-laden hydrogel, and VEGF 165 recombinant protein-loaded hydrogel, during which the medium used to immerse the hydrogels was refreshed after the first 24 h. As shown in Fig. 5A, the cumulative released VEGF 165 in the three types of hydrogels was gradually increased with time, before refreshing the medium. The quantity of VEGF 165 released from the HUVECvegf165+-laden hydrogel was much greater than that released from the HUVECvector-laden hydrogel. Once the medium was refreshed, the release of VEGF 165 was significantly attenuated in the VEGF 165-loaded hydrogel, but the VEGF 165 releasing curves of cell-laden hydrogels were almost consistent with those before refreshing the medium. Altogether, these experiments reflected that the HUVECvegf165+-laden hydrogel could exert an enhanced paracrine action by releasing VEGF 165 in a self-renewable manner.

Fig. 5. Releasing kinetics of VEGF 165 by different hydrogel platforms and the resultant biological functions.

Fig. 5

A HUVECvegf165+-laden hydrogel presented distinctive self-renewal ability and enhanced VEGF 165 release. The VEGF 165 releasing curves of cell-laden hydrogel in black were corresponding to the left Y-axis, while the curves of VEGF 165-loaded hydrogel in blue were in different releasing profiles and corresponding to the right Y-axis. n = 3 independent experiments. B Co-culture cell model for studying the biological effects of HUVECvegf165+-laden hydrogel. This figure was created with BioRender.com and has been granted a publication license. C Wound healing of HUVECs was accelerated following treatment with HUVECvegf165+-laden hydrogel. D Quantitative analysis of wound healing speed. n = 3 independent experiments. E HUVEC proliferation was improved by HUVECvegf165+-laden hydrogel. n = 3 independent experiments. F Tube formation of HUVECs was enhanced by HUVECvegf165+-laden hydrogel. G Quantitative analysis of branch points. n = 3 independent experiments. H Quantitative analysis of capillary length. n = 3 independent experiments. The p values in the figure (D) and figures (E, G, and H) are determined by two-sided unpaired t test and two-way ANOVA followed by Sidak’s multiple comparisons test, respectively. Data are presented as mean ± SD. Source data are provided as a Source Data file.

To further investigate the biological functions of self-renewable VEGF 165 released from the HUVECvegf165+-laden hydrogel, a co-culture cell model using the transwell chamber system was established, in which the cell-laden hydrogels were placed in the upper chamber and HUVECs were seeded in the bottom chamber (Fig. 5B). In comparison to the HUVECvector-laden hydrogel, the HUVECvegf165+-laden hydrogel promoted wound healing (Fig. 5C, D), cell proliferation (Fig. 5E), and tube formation of HUVECs in the bottom chamber (Fig. 5F–H), which suggested the potent angiogenetic competence of the HUVECvegf165+-laden hydrogel.

Since DM is always accompanied by vascular endothelial cell damage caused by HG10,52, we further studied the effects of HUVECvegf165+-laden hydrogel on the HG-induced cell injuries. Figure 6A shows that HG, especially at a concentration of 40 mM, could lead to the death of HUVECs. Cell viability was not impaired in the osmotic control with 5 mM glucose and 35 mM D-mannitol. Then, we collected the cell supernatant of the HUVECvegf165+-laden hydrogel and HUVECvector-laden hydrogel and adjusted the glucose concentration to 40 mM to treat HUVECs (Fig. 6B). The results showed that the higher quantity of VEGF 165 released from the HUVECvegf165+-laden hydrogel alleviated HG-induced cell death (Fig. 6C) and reduced reactive oxygen species (ROS) production triggered by cell oxidative stress (Fig. 6D).

Fig. 6. Self-renewable VEGF 165 from HUVECvegf165+-laden hydrogel improves HG-induced endothelial cell injuries via protecting mitochondrial permeability.

Fig. 6

A HG impairs the viability of HUVECs. OC, osmotic control with 5 mM glucose and 35 mM D-mannitol. n = 3 independent experiments. B Schematic diagram of cell models used to investigate the effects of the supernatant of cell-laden hydrogel platform on HG-induced HUVEC injuries. This figure was created with BioRender.com and has been granted a publication license. C Supernatant of HUVECvegf165+-laden hydrogel platform significantly improved the viability of HUVECs under the HG condition. n = 3 independent experiments. D Supernatant of HUVECvegf165+-laden hydrogel platform significantly reduced the ROS production of HUVECs under the HG condition. n = 3 independent experiments. E Immunofluorescence (IF) staining assay revealed HG-induced DNA/RNA damages with the IF signals co-localized with mitochondria. The supernatant of HUVECvegf165+-laden hydrogel platform ameliorated the DNA/RNA damage. F Quantitative analysis of mitochondrial DNA/RNA damage after different treatments. n = 3 independent experiments. G Supernatant of HUVECvegf165+-laden hydrogel platform improved the mitochondrial permeabilization detected with JC-1, a type of mitochondrial membrane potential (MMP) dye. H Quantitative analysis of the fluorescence intensity ratio of JC-1 aggregates to JC-1 monomers for determining MMPs after different treatments. n = 3 independent experiments. I Western blot results indicated that the VEGF 165 in the supernatant of HUVECvegf165+-laden hydrogel platform alleviated Bax-elicited mitochondrial perforation and casp-3-activated programmed cell death due to mitochondrial leakage. The results have been confirmed by two independent experiments. The p values in the figures (A, C, D, F, and H) are determined by one-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. ns, not significant. Source data are provided as a Source Data file.

Previous studies have revealed that mitochondria are involved in ROS metabolism and mitochondrial dysfunction leads to ROS overproduction53,54. We found that the self-renewable VEGF 165 from the HUVECvegf165+-laden hydrogel could halt mitochondrial damage, thereby decreasing ROS production and improving cell viability. To verify this finding, we co-labeled mitochondria using MitoTracker and the DNA/RNA damage markers of 8-hydroxy-2’-deoxyguanosine (oxo8dG), 8-oxo-7,8-dihydroguanine (oxo8Gua), and 8-oxo-7,8-dihydroguanosine (oxo8G). The outcome of the immunofluorescence (IF) staining of the DNA/RNA damage markers indicated that they were almost co-localized with mitochondria when the cells were injured by HG. When treated with the cell supernatant of HUVEC-laden hydrogels, the DNA/RNA damage signals were reduced, particularly for the HUVECvegf165+-laden hydrogel, because this hydrogel could produce a greater quantity of VEGF 165 (Fig. 6E, F). The abovementioned evidence suggests that VEGF 165 from the HUVECvegf165+-laden hydrogel alleviated HG-induced cell injuries via protecting mitochondria.

MMs play significant roles in maintaining mitochondrial homeostasis. The inner MMs are anchored with numerous vital enzymes, such as ATP synthase, to take part in redox and oxidative phosphorylation, which is accompanied by ROS production55,56. MM dysfunction has been reported to impair the enzymes on the MMs and cause leakage of mitochondrial contents to the cytosol, such as cytochrome c (Cyt-c), thus causing caspase activation and cell apoptosis57. Figure 6G, H shows that HG could damage MMs by reducing mitochondrial membrane potentials (MMPs) because the fluorescence intensity ratio of JC-1 aggregates to JC-1 monomers was significantly decreased. The treatment of the cell supernatant of HUVEC-laden hydrogels, particularly for the HUVECvegf165+-laden hydrogel, elevated the MMPs and protected MMs.

To determine the molecular cues of changes in MMPs, we further detected Bax and Bcl2, the two members of B-cell lymphoma-2 family proteins. These two proteins are associated with the perforation of MMs and can be used to determine mitochondrial permeabilization based on the calculation of Bax/Bcl2 ratio in the separated mitochondria58,59. Western blot (WB) results shown in Fig. 6I and Supplementary Fig. 7 imply that HG could induce the recruitment of Bax to perforate MMs and release Cyt-c into the cytosol, thus activating caspase-3 (casp-3) by cleaving pro-casp-3, and causing cell apoptosis. Interestingly, the Bax-mediated disruption of MMs could be relieved by the treatment with the cell supernatant of the HUVECvegf165+-laden hydrogel; in addition, programmed cell death was also improved. These protective functions mainly resulted from the released VEGF 165 because VEGFR-2 inhibition by SU149860 attenuated the beneficial effects of the cell supernatant. Thus far, we have clarified the advantages and mechanisms of the HUVECvegf165+-laden hydrogel on the vascular endothelial cells.

Diabetic wound closure of rats was augmented by HUVECvegf165+-laden hydrogel

We evaluated the therapeutic effects of HUVECvegf165+-laden hydrogel on the diabetic wounds of rats according to the experimental plan shown in Fig. 7A. The rat diabetic wound model was created by injecting streptozotocin (STZ) at a dose of 70 mg/kg intraperitoneally, followed by surgical removal of 1-cm-diameter full-thickness skin. The DM model was established successfully by presenting elevated blood glucose, retarded body weight growth, and increased water consumption during the entire experimental process (Supplementary Fig. 8), compared with normal control rats without injection of STZ. The three indictors of DM showed no significant differences among the groups treated with hydrogels, HUVECvector-laden hydrogels, and HUVECvegf165+-laden hydrogels. Day 3, day 7, and days 14 and 21 were the time points for tissue harvesting, which corresponded to the wound repair stages of inflammation, proliferation, and tissue remodeling61. Based on DLP printing, the hydrogels could be customized according to the irregular shapes of wounds (Supplementary Fig. 9A) and achieve high yield (Supplementary Fig. 9B).

Fig. 7. Evaluation of the effect of HUVECvegf165+-laden hydrogel on rat diabetic wounds.

Fig. 7

A Experimental scheme. This figure was created with BioRender.com and has been granted a publication license. ip, intraperitoneal injection; LASCA, laser speckle contrast analysis. B Diabetic wound healing processes were recorded after the three treatments. Yellow paper as a size control is in a diameter of 1 cm. C Re-depiction of wound healing processes. D Comparison of wound closure rates following the three treatments. n = 15 rats/group on day 1; n = 10 rats/group on days 4 and 7; n = 5 rats/group on days 10 and 14. E Hydrogel degradation rate in the three treatment groups calculated by residue weight. n = 5 hydrogels/group. F Dynamic changes of VEGF 165 concentration in HUVECvector-laden hydrogels and HUVECvegf165+-laden hydrogels during the in vivo treatment process. n = 5 hydrogels/group. G Flow cytometry analysis of single cells lysed from wounds of three rats in each group indicated that the proportion of mitochondrial oxidative stress damage in vascular endothelial cells was 23.2% in the HUVEC vegf165+-laden hydrogel group, which was significantly lower than that of the hydrogel group (44.2%) and HUVECvector-laden hydrogel group (41.8%). MitoSOX red marked mitochondrial oxidative stress damage; CD 31 marked vascular endothelial cells. The left panel of the figure was created with BioRender.com and has been granted a publication license. H LASCA revealed increased blood flow following the treatment with HUVECvegf165+-laden hydrogels. I Quantitative analysis of blood flow based on mean flux. n = 5 rats/group. J HE analysis revealed varied degrees of granulation tissue formation and re-epithelization in the different treatment groups. Arrows: edges of the extended epithelial layer on day 7; &: formation of intact epithelial layer. K Quantitative analysis of granulation tissue thickness in the different treatment groups. n = 5 rats/group. The p values in the figures (D and K) and figure (I) are determined by two-way ANOVA and one-way ANOVA, respectively, followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. ns not significant. Source data are provided as a Source Data file.

The wound healing processes in the different groups are illustrated in Fig. 7B and re-depicted in Fig. 7C. The rats in the HUVECvegf165+-laden hydrogel group exhibited a faster wound closure rate than those treated with hydrogels or HUVECvector-laden hydrogels (Fig. 7D). In all groups, the hydrogels were degraded gradually until day 21 (Fig. 7E). VEGF 165 in the cell-laden hydrogels showed a regenerative manner, especially for the HUVECvegf165+-laden hydrogel group in the first four days (Fig. 7F). Consistent with the in vitro findings, the production of VEGF 165 in vivo was much more in the HUVECvegf165+-laden hydrogel than that of HUVECvector-laden hydrogel. This implied that HUVECvegf165+-laden hydrogel could serve well as a good source of VEGF 165 for angiogenesis and wound healing.

Due to the enhanced performance of VEGF 165 released by the HUVECvegf165+-laden hydrogels, the mitochondrial damages of vascular endothelial cells were relieved. As seen in Fig. 7G and Supplementary Fig. 10, single cell suspension (~600,000 cells in total) dissolved from wound tissues of three rats in different groups were prepared. 100,000 cells were isolated for cell staining of CD31-FITC and MitoSOX Red in turn, and then detected with flow cytometry. It was found that the proportion of vascular endothelial cells with mitochondrial damage in the HUVECvegf165+-laden hydrogel group was 23.2%, which was much lower than the values of the simple hydrogel group (44.1%) and HUVECvector-laden hydrogel group (41.8%). Moreover, a noninvasive measurement by laser speckle contrast analysis (LASCA) indicated that blood flow was increased due to improved tissue vascularization following treatment with HUVECvegf165+-laden hydrogels compared with the other two groups (Fig. 7H, I).

Hematoxylin and eosin (HE) staining of the regenerated wound tissues in the three groups reflected the typical characteristics of rat skin healing, i.e., granulation tissue formation accompanied by epidermal contraction through crawling beneath the fibrous capsule (Fig. 7J)62. However, the thickness of granulation tissues, mainly consisting of immune cells, fibroblasts, microvessels, and collagen fibers, varied among the different groups. Specifically, the granulation tissues of diabetic wounds treated with HUVECvegf165+-laden hydrogel were the thickest on days 7 and 14, compared to those of diabetic wounds that received other treatments, and almost reached the normal thickness on day 14 (Fig. 7K).

To eliminate the impacts of wound contraction on wound healing of rats, the edges of wounds were glued with silicone rings followed by interventions of simple hydrogel, HUVECvector-laden hydrogel, and HUVECvegf165+-laden hydrogel separately (Supplementary Fig. 11A). Generally, wound healing was postponed compared with that without silicone ring restrictions due to inhibition of wound contraction. Moreover, HUVECvegf165+-laden hydrogel group demonstrated the fastest healing speed of diabetic wounds among the three groups (Supplementary Fig. 11B–D). Granulation tissues of diabetic wounds were covered by regenerated epidermal layers in all groups on day 10 (Supplementary Fig. 11E, F). The thickness of granulation tissues and epidermal layers (Supplementary Fig. 11G, H), and microvascular density (Supplementary Fig. 11I, J) were increased after treatment with HUVECvegf165+-laden hydrogel compared with the other two groups. Altogether, it implied that the wound beds formed by the application of HUVECvegf165+-laden hydrogels were more appropriate for re-epithelization and wound closure regardless of wound contraction.

HUVECvegf165+-laden hydrogel promoted the epithelialization, hair formation, scarless tendency, angiogenesis, and cell proliferation and metabolism of diabetic wounds

To comprehensively describe the wound-healing states, diverse tissue staining technologies were further applied. Re-epithelialization is important for wound healing. We used cytokeratin 14 (CK14), a marker of basal keratinocytes, and cytokeratin 10 (CK10), a marker of spinous keratinocytes, to evaluate the re-epithelialization on days 7 and 14. As shown in Fig. 8A, epithelial layers were encroached onto the wound bed and exhibited strong proliferative ability because the thickness far exceeded the epithelial layer thickness of the normal skin. In particular, on day 7, the thickness of the extended epithelial layer in the HUVECvegf165+-laden hydrogel group was greater than that of the simple hydrogel group or HUVECvector-laden hydrogel group, demonstrating the early activation of re-epithelialization by HUVECvegf165+-laden hydrogel. In comparison, on day 14, the thickness of the extended epithelial layer in the HUVECvegf165+-laden hydrogel group was the smallest and similar to that of normal skin, indicating rapid progression of epithelial proliferation to remodeling in this group. Moreover, on days 7 and 14, K14 staining of the hair follicles in the basal layer of the epidermis revealed a significant increase in the hair follicle density in the HUVECvegf165+-laden hydrogel group compared to hydrogel treatment and HUVECvector-laden hydrogel groups (Fig. 8B). These results demonstrate that the enhanced and self-renewable VEGF 165 release could effectively accelerate keratinocyte migration and hair follicle formation, consequently contributing to the re-epithelialization of the diabetic wounds.

Fig. 8. Histological analysis of the healing process of diabetic wounds with different treatments.

Fig. 8

A CK14/CK10 immunofluorescence (IF) staining of the epithelial layer. $: fibrous capsule; #: regenerated granulation tissue; &: edges of normal skin; dotted line: boundary separating normal skin and wound; dot-and-dash line: extended epithelial layer that covers the wound bed. n = 5 rats/group. B CK14 IF staining of hair follicles. Φ: epithelial layer; arrows: hair follicles. VS, visual field. n = 10. C Picrosirius red staining of collagen in the wounds. n = 10. D Vascular structure stained with CD 31 and ɑ-SMA. Arrows: microvessels. n = 10. E Staining of proliferative cells by Ki67. n = 10. F Evaluation of cell metabolic rate by PGC-1ɑ staining. n = 10. For AF, i: representative tissue staining images; ii: quantitative analysis of corresponding wound images on day 7; iii: quantitative analysis of corresponding wound images on day 14. For BF, n = 10 because two random visual fields were selected for each tissue sample harvested from five rats in each group. The p values in each figure (ii and iii) are determined by one-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. ns, not significant. Source data are provided as a Source Data file.

To determine whether the improved wound healing was related to scar risks, we performed picrosirius red staining on wound collagen. Collagen type I stained in red cleaned the inflammatory sites, acted as a chemo-attract for various cell types involved in wound healing, and increased the toughness, whereas collagen type III stained in green increased the elasticity; therefore, decrease of the collagen I/III ratio is beneficial for tissue flexibility and scar reduction6365. As shown in Fig. 8C, the wounds in the HUVECvegf165+-laden hydrogel group presented a higher collagen I/III ratio on day 7 compared to hydrogel treatment and HUVECvector-laden hydrogel groups; however, the numerical value decreased rapidly to a level that was slightly lower than that of normal skin (~26) on day 14. On day 21 when wounds were almost healed, the collagen I/III ratio in the HUVECvegf165+-laden hydrogel group was still closest to the normal value (Supplementary Fig. 12). These findings suggest that the accelerated wound remodeling by HUVECvegf165+-laden hydrogel treatment did not induce scar formation.

On both days 7 and 14, compared to the hydrogel and HUVECvector-laden hydrogel groups, treatment with HUVECvegf165+-laden hydrogel increased the density of microvessels stained by CD 31 and ɑ-SMA (Fig. 8D)66, further verifying the potent angiogenetic effects of self-renewable VEGF 165 released from the HUVECvegf165+-laden hydrogel. The improved blood supply to the wound tissues further altered the cell proliferation and metabolism patterns of wounds. As shown in Fig. 8E, the regenerated granulation tissues in the HUVECvegf165+-laden hydrogel group presented denser proliferative cells distributed in the epidermis, dermis, and subcutaneous tissues on day 7. However, on day 14, the proliferative cells were mainly accumulated in the epidermis, and the density in the HUVECvegf165+-laden hydrogel group was lower than that in the other two groups, which was consistent with the observation of a thinner epithelial layer by CK14/CK10 staining in the HUVECvegf165+-laden hydrogel group on day 14. These findings further confirmed the beneficial effects on epithelial remodeling. Moreover, peroxisome proliferator–activated receptor gamma coactivator-1ɑ (PGC-1ɑ) is a biomarker of the cell metabolic rate67, which had a higher expression in the HUVECvegf165+-laden hydrogel group on days 7 and 14 (Fig. 8F). This active state of cell metabolism was instrumental for promoting tissue proliferation and remodeling.

Proteomics revealed that the improved outcomes of diabetic wound healing by HUVECvegf165+-laden hydrogel were associated with tissue vascularization and oxygenation, extracellular matrix (ECM) remodeling, and inflammatory modulation

To present an overview of the molecular signal changes that resulted from enhanced and self-renewable VEGF 165 stimulation, we further conducted proteomics detection for the diabetic wounds on day 7 after treatment with HUVECvegf165+-laden hydrogel. The HUVECvector-laden hydrogel group was used as control. In general, 500 proteins were significantly upregulated and 546 proteins were significantly downregulated between the HUVECvegf165+-laden hydrogel and HUVECvector-laden hydrogel (Fig. 9A). Figure 9B shows the protein expression differences between the two groups based on the principal component analysis (PCA), which suggested that the VEGF 165 overexpressed by HUVECs played a vital role in modulating wound repair process. The volcano plot presented in Fig. 9C shows the differentially expressed proteins. The upregulated proteins labeled with the corresponding gene names were associated with the development, formation, and size enlargement of blood vessels (e.g., Clic4, Eng, Enpep, Icam1, Itga1, Tgfbi, Cav1, and LOC108348074), increase in ECM (e.g., Efemp2, Col12a1, Lama4, and Lama5), and enhanced cell adhesion (e.g., Vcan, Sdc4, Itgb1, and Icam1). The downregulated proteins were related to the reduction in markers of inflammation (e.g., Alox5, Lbp, C5, Il36b, and Mmp8) and bacterial infections (e.g., Masp2, Mbl1, Krt34, and Cfd).

Fig. 9. Proteomics comparison of diabetic wounds on day 7 between HUVECvegf165+-laden hydrogel and HUVECvector-laden hydrogel.

Fig. 9

A Number of differentially expressed proteins. B PCA reveals evident separation based on differentially expressed proteins between the two groups. n = 5 rats/group. C Volcano plot shows the differentially expressed proteins of interests. D Upregulated pathways in the biological process enrichment analysis. Arrows: upregulated pathways of interests regarding extracellular matrix deposition and vessel regeneration. E Downregulated pathways in the biological process enrichment analysis. Arrows: downregulated pathways of interests regarding inflammatory response. F Protein-protein interaction and protein-biological process relation network analysis indicates that different biological processes during wound healing including inflammatory response, angiogenesis, and cell-matrix adhesion are interrelated based on some common differentially expressed proteins. G Heatmap shows the differentially expressed mitochondrial proteins of interests. Arrows: representative proteins related to mitochondrial oxidative stress damage. H Protein-protein interaction and protein-biological process relation network analysis reveals the key differentially expressed mitochondrial proteins involved in the oxidation-reduction process. The p values in the figure (C) and figures (D and E) are determined by two-sided unpaired t test and Fisher’s exact test, respectively.

We further performed functional enrichment analysis based on the differentially expressed proteins to uncover the dominant molecular pathways affected by the HUVECvegf165+-laden hydrogel. As seen in the biological process enrichment analysis on upregulated proteins (Fig. 9D), the HUVECvegf165+-laden hydrogel significantly promoted ECM assembly and organization, artery morphogenesis, and endothelial cell proliferation. In the biological process enrichment analysis on downregulated proteins (Fig. 9E), the leukocyte aggregation and activation, neutrophil mediated immunity, and TNF production were significantly suppressed by the HUVECvegf165+-laden hydrogel. The specific proteins involved in the enrichment pathways mentioned above are listed in Supplementary Fig. 13. More interestingly, it was further revealed by a joint analysis of protein-protein interaction and protein-biological process relation that some differentially expressed proteins related to angiogenesis were simultaneously involved in inflammatory response and cell-matrix adhesion (Fig. 9F), which accounted for not only neovascularization, but also the other extensive biological functions such as inflammatory regulation and ECM remodeling that were achieved by the enhanced and self-renewable VEGF 165 from HUVECvegf165+-laden hydrogel. In addition, since we have revealed the effects of VEGF 165 on protecting mitochondrial injury in vitro, we further verified the in vivo function based on the proteome data. It was found that a total of 56 differentially expressed proteins were related to mitochondria (Supplementary Fig. 14). The heatmap shown in Fig. 9G marked these proteins where key proteins such as Sod2 and Hmgsc2 that reduced mitochondrial oxidative stress were upregulated in HUVECvegf165+-laden hydrogel group, and some proteins like Mtco2 and Cox5b associated with mitochondrial damages were downregulated68,69. Protein-protein interaction and protein-biological process relation network analysis further indicated that oxidation-reduction process of mitochondria was a therapeutic target of VEGF 165 by HUVECvegf165+-laden hydrogel (Fig. 9H). Altogether, the proteomic results indicated extensive molecular signal changes in terms of inflammation, ECM remodeling, and mitochondrial oxidative stress in the diabetic wounds induced by the angiogenetic effect of HUVECvegf165+-laden hydrogel.

It has been reported that early resolution of inflammation is beneficial for scarless repair and wound healing70,71. To further confirm the finding that the HUVECvegf165+-laden hydrogel reduced inflammation, we assessed proinflammatory and chemotactic cytokines in diabetic wounds on day 7. As shown by a proteome profiler rat cytokine array in Fig. 10A, B, the HUVECvegf165+-laden hydrogel presented decreased expression of various proinflammatory and chemotactic cytokines, such as CINC-1, CINC-2ɑ/β, CINC-3, IL-1ɑ, and LIX, compared to the hydrogel and HUVECvector-laden hydrogel groups. Moreover, in the HUVECvegf165+-laden hydrogel group, the expression of metalloproteinase inhibitor-1 (TIMP-1), which inactivates metalloproteinase-9, hinders tissue remodeling, and promotes hypertrophic scar formation, was lower than that in the other two groups. It supports the histological analysis results that the HUVECvegf165+-laden hydrogel promotes tissue remodeling and reduces scar risk. The VEGF level of diabetic wounds was elevated due to the production from the HUVECvegf165+-laden hydrogel.

Fig. 10. HUVECvegf165+-laden hydrogel ameliorates oxygenation and inflammation of diabetic wounds.

Fig. 10

A Proteome profiler rat cytokine array of diabetic wounds on day 7 with different treatments. B Quantitative analysis of the signal intensity of cytokines. n = 2 dots for each cytokine in the membrane. C IVIS spectrum of luminescent oxygen probe for the detection of oxygen contents of diabetic wounds on day 4. i: hydrogel; ii: HUVECvector-laden hydrogel; iii: HUVECvegf165+-laden hydrogel. D Comparison of HIF-1ɑ transcriptional level among the diabetic wounds with different treatments on days 3, 7, and 14. n = 5 rats/group. E Comparison of MDA concentration among the diabetic wounds with different treatments on days 3, 7, and 14. n = 5 rats/group. F Comparison of TNF-ɑ production among the diabetic wounds with different treatments on days 3, 7, and 14. n = 5 rats/group. G Therapeutic mechanism of wound healing by HUVECvegf165+-laden hydrogel. VEGF 165 was continuously released from the HUVECvegf165+-laden hydrogel to rescue HG-induced vascular endothelial cell death by inhibiting mitochondrial oxidative stress, thus improving tissue angiogenesis and oxygenation, and creating an eligible microenvironment for diabetic wound healing. This schematic diagram was created with BioRender.com and has been granted a publication license. The p values in the figures (DF) are determined by two-way ANOVA followed by Tukey’s multiple comparisons test. Data are presented as mean ± SD. Source data are provided as a Source Data file.

Vascular formation provides oxygen transmission pipelines for oxygenation, which is a key factor determining tissue hypoxia, inflammation, and wound-healing rates72. Therefore, we measured the oxygenation of the diabetic wounds on day 4 using a luminescent oxygen probe, tris(4,7-diphenyl-1,10-phenanthroline) ruthenium (II) dichloride complex73. As shown in Fig. 10C, the oxygen signals were stronger in the HUVECvegf165+-laden hydrogel group, which suggested improved wound oxygenation due to the sustained VEGF 165 release from the hydrogel. Accordingly, hypoxia inducible factor-1ɑ (HIF-1ɑ), an indicator of oxygen tension74, exhibited lower transcriptional levels in the HUVECvegf165+-laden hydrogel group throughout the wound-healing process (Fig. 10D). HIF-1ɑ has been reported to drive the expression of proinflammatory cytokines in various immune cells75. For this reason, we further explored malondialdehyde (MDA) and TNF-ɑ levels to evaluate the oxidative stress and inflammatory state in diabetic wounds, respectively. It was found that MDA and TNF-ɑ levels were significantly decreased in the HUVECvegf165+-laden hydrogel group (Fig. 10E, F). Thus far, it has been clarified that self-renewable and sustained stimulation by HUVECvegf165+-laden hydrogel prevents mitochondrial damages of vascular endothelial cells from HG and facilitates angiogenesis in diabetic wounds, which creates a satisfactory microenvironment by improving tissue hypoxia, reducing inflammation, and promoting ECM remodeling, thus ultimately contributing to diabetic wound healing (Fig. 10G).

Discussion

In this study, we developed a tissue-friendly, high-efficiency, and accurate 3D printed all-peptide hydrogel platform based on the thiol-ene click reaction using γ-PGA-GMA, γ-PGA-SH, and RGDC. This platform could be constructed in a few minutes, reached a resolution power of 0.5 mm and a printing error of 0.122 mm, and offered stably-bound RGD for cell adhesion, which fulfill the requirements of clinically applicable biological scaffolds. Using angiogenesis as a target therapeutic point, we further modified this platform as a living material by loading functional HUVECs that have enhanced and self-renewable VEGF 165 release, thereby solving the problems of growth factor loss or inactivation during wound applications.

Furthermore, our experiments on HUVECs revealed that VEGF 165 was a potent stimulator of angiogenesis in terms of cell migration and tube formation. Under the HG condition, VEGF 165 inhibited Bax-elicited mitochondrial perforation through interaction with VEGFR-2, which impeded the activation of casp-3 and prevented cell death. The discovery of this molecular mechanism underlines the distinctive functions of VEGF 165 for diabetic wound healing.

By building rat diabetic wound models, we demonstrated the therapeutic effects of HUVECvegf165+-laden hydrogel on accelerating wound closure, vascular formation, granulation tissue remodeling and regeneration, and re-epithelization. The scarring tendency of wounds treated with HUVECvegf165+-laden hydrogel was relatively low. Proteomics sequencing was used to describe the general changes of molecular signals caused by the HUVECvegf165+-laden hydrogel, which reduced wound inflammation and improved angiogenesis, ECM remodeling, and cell adhesion. Rapid regression of inflammation is a positive factor contributing to the progression from the inflammatory phase to the proliferative phase and subsequent remodeling. Improved oxygenation of diabetic wound supported by well-formed microvessels may be responsible for the reduction of inflammation when the HUVECvegf165+-laden hydrogel was applied, which suppressed the HIF-1ɑ transcriptional activity and reduced the production of downstream proinflammatory factors.

Based on our results, the HUVECvegf165+-laden hydrogel is an effective living material to deal with diabetic wounds. However, limitations exist in the printing resolution and rat models. The potential approaches that may improve the printing resolution include the increase in light source resolution or the addition of specific biomacromolecules to inhibit free radical polymerization at unexposed areas during photoinitiation76,77. Moreover, diabetic wound models of rats created by injection of STZ only represent part of complex diabetic wound pathophysiology in human bodies; therefore, additional trials on large mammals or patients are needed to perform to validate the treatment and determine a specific usage.

Methods

Materials

γ-PGA (Mw = 700 kDa, 95%) was obtained from Shineking Biotechnology Co., Ltd (Nanjing, China). 1-Ethy-3-(3-dimethylaminopropyl)-carbodiimide (EDC, 98%), N-hydroxy-succinimide (NHS, 98%), L-Cysteine hydrochloride (Cys·HCl, 98%), glycidyl methacrylate (GMA, 97%), 2-(N-morpholino)ethanesulfonic acid (MES, 99%), LAP (purity ≥ 98.0%), and hydrochloric acid (HCl, 37%) were obtained from Aladdin Industrial Corporation (Shanghai, China). RGDC with a purity of 98.46% was custom-made by NJPeptide (Nanjing, China). Dialysis membranes (MWCO 12 kDa) were obtained from Yuanye Bio-Technology Corporation (Shanghai, China). The lentiviral particles used for VEGF 165 overexpression or as a control vector were provided by SyngenTech (Beijing, China).

Synthesis and printability of γ-PGA-SH, γ-PGA-GMA, and all-peptide hydrogel

Synthesis of γ-PGA-SH

γ-PGA (1.00 g, 7.75 mmol) was dissolved in 80 mL of MES buffer (0.1 M MES, 0.1 M NaCl, pH 5.0). EDC (2.89 g, 11.60 mmol) and NHS (1.73 g, 11.60 mmol) were added to the MES buffer and reacted for 30 min to activate the carboxylic group of γ-PGA at room temperature. Then, Cys·HCl (1.72 g, 11.6 mmol) dissolved in 20 mL of new MES buffer was added dropwise to the mixture. The pH of the reaction mixture was adjusted to 4.75 by the addition of 0.1 M HCl solution, and then, the reaction mixture was purged with nitrogen and kept stirring in a dark environment at room temperature (25–30 °C) for 24 h. Afterward, the reaction mixture was exhaustively dialyzed against acidic deionized water (pH 3.5) for 72 h. After dialysis, γ-PGA-SH was lyophilized to obtain a white powder (0.87 g, 87% yield).

Synthesis of γ-PGA-GMA

γ-PGA (1.00 g, 7.75 mmol) was dissolved in DI water to obtain a 1 wt% solution at room temperature. Subsequently, GMA was added to the solution at a 3:1 molar ratio of GMA to -COOH (of γ-PGA) gently under stirring. The pH value of the reaction solution was adjusted to 4.7 by adding 0.1 M HCl solution, followed by reaction at 60 °C for 8 h. Then, the reaction solution was transferred to a dialysis tube and purified using exhaustive dialysis against deionized water for 3 days. Finally, the dry product (0.93 g, 93% yield) was obtained by freeze-drying.

Fabrication of the all-peptide hydrogel

γ-PGA-SH, γ-PGA-GMA, RGDC, and LAP were dissolved in DI water based on the formula presented in Supplementary Table 1. The solution was crosslinked by exposure to blue light (n = 405 nm) for 20 s. The resultant hydrogels were termed as Gels 1, 2, 3, and 4 based on the increased polymer concentrations. The modified polymers were identified with 1H NMR and FTIR spectra. The obtained hydrogels were fully characterized with the swelling ratio, degradation, morphological scanning, and rheological and mechanical tests. Detailed procedures of each characterization are described in Supplementary Note 1.

Printability of the all-peptide hydrogel

The premixed solution based on the formula of Gel 3 was chosen for printing using a DLP printer (ANYCUBIC Photon Ultra) because Gel 3 presented relatively high compressive strength and fracture energy. The objects to be printed were designed using C4D software (Maxon Computer, Germany). The layer thickness and blue light (n = 405 nm) exposure time were regulated to optimize the printing parameters evaluated on the printing efficiency and resolution. The printed products were separated from the platform using a sharp blade. The tangent angle of the adjacent planes in the printed cylinders was calculated based on the side-view images by using Solidwork software (Dassault Systèmes Corp, France). The printing error range was determined by comparing the microtube model’s real size measured using z-axis stacking of a confocal microscope (LSM 980; ZEISS, Germany) with the designed size. FITC (HY-66019; MCE) solution was used to stain the wall of microtubes.

Generation of HUVECvector-laden hydrogel and HUVECvegf165+-laden hydrogel

Generation of HUVECsvegf165+ and HUVECsvector

The lentiviral particles used for VEGF 165 overexpression or control were provided by SyngenTech, which were synthesized by following the manufacturing process reported previously78. The structure of VEGF 165-overexpressing lentivirus was composed of the lentiviral transfer plasmid (pHS-AVC-1508), described as pLV-hef1a-mNeongreen-P2A-Puro-WPRE-CMV-VEGF165 (human, NM_001171626), and the lentiviral packaging vectors (SyngenTech, Beijing, China). The control lentiviral transfer plasmid (pHS-AVC-ZQ328) did not contain the VEGF 165 sequence. The lentiviral transfer plasmids were examined by gene sequencing and DNA electrophoresis after digestion with NheI and PvuII (SyngenTech, Beijing, China). HEK 293FT cells (SyngenTech, Beijing, China) were used to package the lentiviral particles. The VEGF 165-overexpressing lentivirus and control vector lentivirus were titrated to concentrations of 2.89 × 108 TU/mL and 2.75 × 108 TU/mL, respectively. Before transfection, 1 × 106 HUVECs (P2-P4; Sciencell, USA) cultured in the ECM medium (Sciencell, USA) were seeded to a cell culture bottle (430720; Corning, USA). On the next day, the prepared lentivirus was added to the culture medium at the multiplicity of infection (MOI) of 10. Polybrene (SyngenTech) at 8 μg/mL was used to increase transfection efficiency. After 18 h, the culture medium was refreshed every 3 days. Three days later, puromycin (P8230; Solarbio, Beijing, China) at 4 μg/mL was added for the selection of transfected cells. On day 7, the resultant HUVECsvegf165+ and HUVECsvector were imaged under a fluorescence microscope (Invitrogen, USA), and the proportion of fluorescent cells was calculated using ImageJ (NIH, USA). The VEGF expression of HUVECsvegf165+ and HUVECsvector was identified using the VEGF antibody (1:50, ab155944; Abcam) and imaged with fluorescence microscopy. The mean gray value was determined by ImageJ software (NIH, USA).

Construction of cell-laden hydrogel platform

The bioink was prepared by dissolving the substances in the formula of Gel 3 and phosphate-buffered saline (PBS) with 10 w/v% fetal bovine serum (FBS; Gibco, USA). HUVECsvegf165+ and HUVECsvector were digested with trypsin cell digestion solution (KeyGEN Biotech, Nanjing, China) and then added to the bioink at a concentration of 1 × 105 /mL. The cell-laden hydrogels were printed by adding the bioink to the DLP printer. Layer thickness and light exposure time per layer were set as 0.2 mm and 32 s, respectively. The produced HUVECvegf165+-laden hydrogels were then cultured in the complete ECM medium for 7 days. During this period, the hydrogels were scanned using an IVIS imaging system (XRMS Series III, PerkinElmer, USA) at a wavelength of 488 nm. Moreover, based on the confocal microscopy, Z-axis stacking and mosaic imaging of the HUVECvegf165+-laden hydrogels were performed to visualize the embedded cells. Cell proliferation on different days was determined by the ratio of cell count on that day to the cell count on the first day in three random visual fields.

Study of VEGF 165 release kinetics and biological functions

Description of VEGF 165 release curves

VEGF 165-loaded hydrogels were prepared by dissolving VEGF 165 (Pepro Tech, USA) in the precursor solution of Gel 3 at a concentration of 1 μg/mL and were then printed in the shape of a cylinder with a diameter of 10 mm and a height of 3 mm. The HUVECvector-laden hydrogel and HUVECvegf165+-laden hydrogel were prepared in the same shape. All hydrogels (n = 3) were immersed in 10 mL of incomplete DMEM (KeyGEN Biotech, Nanjing, China). At each pre-set time point (6, 12, 24, 30, 36, and 48 h), 100 μL of leach liquor was collected for detection of VEGF 165 concentration using an enzyme-linked immunosorbent assay (ELISA) kit (Enzyme-linked Biotechnology Co., Ltd, Shanghai, China). At 24 h, the culture medium was refreshed. The release curves of the cell-laden hydrogels were drawn based on the VEGF 165 concentration, and the release kinetics of VEGF 165-loaded hydrogels were determined by the ratio of the released VEGF 165 to the total quantity of the protein added to the hydrogels.

Study of the angiogenetic functions

The transwell cell model was established to perform the wound healing, CCK-8, and tube formation assays. In particular, for wound healing assay, 8 × 103 HUVECs were added to the lower chamber of a 24-well transwell plate (Corning, USA) and cultured in the complete DMEM with 2.5 w/v% FBS. Scratches were created using a 20-µm pipette, and the detached cells were removed by washing with PBS. Cell-laden hydrogels were printed in the shape of a cylinder with a diameter of 5 mm and a height of 3 mm and were placed into the upper chambers and cultured in 200 μL of complete DMEM with 2.5 w/v% FBS. After 12 h, cell migration was observed with a microscope (CKX53, Olympus, Japan), and the mean migration rate was calculated by dividing the cell migration distance by the time. As for the CCK-8 assay, 8 × 103 HUVECs were added to the lower chamber of a 24-well transwell plate and cultured in the complete DMEM with 10 w/v% FBS. Cell-laden hydrogels were placed in the upper chambers and cultured in 200 μL of complete DMEM with 10 w/v% FBS. At 24 and 48 h, the HUVECs in the lower chamber were stained with the CCK-8 reagent (KeyGEN Biotech, Nanjing, China) and the optical density (OD) was measured at a wavelength of 450 nm. Moreover, the tube formation assay was performed according to our protocol reported previously with slight modifications79. Briefly, 5 × 104 HUVECs were added to the Matrigel (356231; BD, USA)-coated lower chamber of a 24-well transwell plate and cultured in complete DMEM with 10 w/v% FBS. Simultaneously, cell-laden hydrogels were placed in the upper chambers and cultured in 200 μL of the complete DMEM. After 3 or 6 h, tube formation was observed under a microscope and analyzed using ImageJ software based on three different visual fields.

Study of protective roles on HG-induced mitochondrial damage and cell death

The complete DMEM with different concentrations of glucose (5, 10, 20, 30, and 40 mM) was used to treat HUVECs to investigate HG-induced cell death. To determine the influence of osmotic pressure on cells, an osmotic control was set, which contained 5 mM glucose and 35 mM D-mannitol (M1902; Sigma, USA). Two days later, cells were incubated with CCK-8 reagent for 1 h, and the OD value was measured at 450 nm. Moreover, the leach liquor was prepared by immersing cell-laden hydrogels into incomplete DMEM at a volume ratio of 1:4 for 2 days to study the cellular and molecular effects. As shown in Fig. 6B, the leach liquor was mixed with HG-containing DMEM to produce the working medium, in which the glucose concentration was 40 mM, FBS concentration was 10 w/v%, and VEGF 165 concentrations of HUVECvector-laden hydrogel and HUVECvegf165+-laden hydrogel were almost 1.04 ng/mL and 5.3 ng/mL, respectively. The different complete DMEM with normal glucose (NG) of 5 mM or HG with different leach liquor (i.e., blank, HUVECvector-laden hydrogel, and HUVECvegf165+-laden hydrogel) was used to treat HUVECs for 2 days, followed by CCK-8 assay and ROS probe (KeyGEN Biotech, Nanjing, China) detection at 488 nm. Moreover, the HUVECs after the different treatments were co-stained with MitoTracker Deep Red (Warbio, Nanjing, China) and anti-DNA/RNA damage antibody (1:200, ab183393; Abcam), and then observed under a fluorescence microscope. The MMP detection was performed using a commercial JC-1 kit (KeyGEN Biotech, Nanjing, China) followed by cell imaging with confocal microscopy. To further reveal the molecular mechanisms and verify the contributing factor of VEGF 165 for the protective functions, different complete DMEM with NG (5 mM) or HG with different leach liquors (i.e., blank and HUVECvegf165+-laden hydrogel), or HG with the leach liquor of HUVECvegf165+-laden hydrogel and SU1498 (5 μM, MCE, USA), a specific inhibitor of VEGFR-2, was separately used to treat HUVECs for 2 days. The separation of mitochondria and cytosol was achieved by using a commercial kit (3601; Beyotime Biotechnology, China), following the manufacturer’s instructions. The molecules of our interests were detected by WB using the antibodies against Bax (1:2000, ab32503; Abcam), Bcl2 (1:2000, ab182858; Abcam), Cox iv (1:2000, ab202554; Abcam), Cyt-c (1:5000, ab133504; Abcam), cleaved casp-3 (1:500, ab32042; Abcam), Pro-casp-3 (1:1000, ab32150; Abcam), and β-actin (1:1000, ab8226; Abcam). The detailed WB procedures are described in Supplementary Note 2.

Therapeutic effects of HUVECvegf165+-laden hydrogel on the diabetic wound model of rats

General analysis of wound closure rate

Eighty-two seven- to eight-week-old male Sprague Dawley rats weighing almost 220 g were provided by Huachuang Sino Co., Ltd. The rats were housed in individual cages with free access to sterile water and chow, controlled temperature, and natural light–dark cycles. Before creating diabetic wounds, 79 rats were intraperitoneally (ip) injected with STZ (Yuanye Biotech, Shanghai, China) at 70 mg/kg, and 3 rats were used as a normal control without injection of STZ. Three days later, the 79 rats were randomly divided into hydrogel group (n = 23), HUVECvector-laden hydrogel group (n = 28), or HUVECvegf165+-laden hydrogel group (n = 28). Each group was created with 10-mm full-thickness skin defects, followed by treatment with DLP printing of hydrogels, HUVECvector-laden hydrogels, or HUVECvegf165+-laden hydrogels in the shape of a cylinder with a diameter of 10 mm and a height of 3 mm. The hydrogels were fixed with a transparent Tegaderm dressing film (3 M, USA), and not replaced during the entire experimental process. The images of diabetic wounds were captured using a smart phone (Vivo, China) on days 1, 4, 7, 10, 14 and 21 by referring to a round paper with a diameter of 10 mm. The percentage of wound area was calculated by the ratio of the area on that day to the area on day 1. Meanwhile, the remained hydrogels on wounds were weighed. To verify the VEGF 165 self-generating ability of cell-laden hydrogel, a small part of hydrogel in five rats of HUVECvector-laden hydrogel group and HUVECvegf165+-laden hydrogel group was harvested and then weighed on days 1, 2, 4, 7, and 10. VEGF 165 concentration in these hydrogel fragments was measured with the ELISA kit. Moreover, on days 3, 7, 14, and 21, a portion of rats in each group were euthanized, and the regenerated wound tissues were collected for detailed analysis. The weight, water consumption, and blood glucose level (Yuwell Medical Equipment, China) of partial rats were measured every day. After completing the entire experiment, one of the three rats in the normal control was used to verified wound shape adaption by creating wounds in the shape of triangle, rectangle, and heart. Hydrogels in corresponding shapes were printed and applied on wounds to test the customizability.

In addition, wound healing of rats is always accompanied by wound contraction which is much more prominent in rats than that in human beings; therefore, we suppressed wound contraction of rats by fixation of silicone rings to wound edges using a 502 glue (Deli, China)80. Except this, the methods of creating diabetic wounds and interventions were the same for a total of 30 seven- to eight-week-old male Sprague Dawley rats with 10 rats in each group. The wounds were imaged on days 1, 7, 10, 14 and 21. Moreover, on day 10, five rats of each group were euthanized, and the regenerated wound tissues were collected for subsequent analysis. The animal protocols above were approved by the Animal Investigation Ethics Committee of Jinling Hospital (2020JLHSKJDWLS-123).

In situ detection of tissue vascularization and oxygenation

To investigate the change and relation of blood supply and tissue oxygenation following different treatments, five rats of each group were randomly chosen on day 4 for the evaluation of neovascularization based on the LASCA using moorFLPI-2 (Moor Instruments, UK). On the same day, oxygenation of rat diabetic wounds was detected using a luminescent oxygen probe, tris(4,7-diphenyl-1,10-phenanthroline) ruthenium (II) dichloride complex (Alfa Aesar, UK), with an IVIS spectrum imaging system (XRMS Series III).

Measurement of mitochondrial damage in vascular endothelial cells dissociated from wound tissues

On day 7, the regenerated granulation tissues of three rats in each group were harvested and stored in the sCelLiveTM Tissue Preservation Solution (Singleron, China) on ice. The specimens were washed with Hanks Balanced Salt Solution (HBSS) for three times, minced into small pieces, and then digested with 3 mL sCelLiVETM Tissue Dissociation Solution by Singleron PythoN™ Tissue Dissociation System at 37 °C for 15 min. The cell suspension was collected and filtered through a 40-micron sterile strainer. Afterwards, the GEXSCOPE® red blood cell lysis buffer (Singleron) was added, and the mixture [Cell: RCLB = 1:2 (volume ratio)] was incubated at room temperature for 5 min to remove red blood cells. The mixture was then centrifuged at 300 × g for 5 mins to remove supernatant and suspended softly with PBS. It was found by cell counting that around 600,000 cells were finally obtained for each group, in which 100,000 cells were isolated for cell staining with the vascular endothelial cell marker, CD31-FITC (1:100, ab33858; Abcam) and the mitochondrial damage marker, MitoSOX Red (HY-D1055; MCE) in turn according to the manufacturers’ instruction. BD LSRFortessaTM X-20 flow cytometer was used to analyze 20,000 cells.

Histological analysis

Half of the collected wound tissues were immersed in 4% polyformaldehyde for 24 h, followed by dehydration and wax leaching. The wax-soaked tissues were embedded in the embedding machine (Wuhan Junjie Electronics Co., Ltd, China) and sliced into 4-μm-thick sections. HE staining was performed to measure the thickness of regenerated diabetic wound tissues. Picrosirius red staining was used to quantify the collagen I/III ratio. IF staining was performed to mark the epithelial layer and hair follicle with CK10 (1:1000, GB111413; ServiceBio) and CK14 (1:1000, MA5-11599, Invitrogen; 1:1000, GB11803, ServiceBio), to label the vascular structure using CD31 (1:100, MA5-16951; Invitrogen) and ɑ-SMA (1:500, GB111364; ServiceBio), to reflect cell proliferation based on Ki67 (1:500, GB111141; ServiceBio), and to compare the cell metabolic rate by the staining of PGC-1ɑ (1:100, ab106814; Abcam). The sections were then incubated with the corresponding secondary antibodies, and the nuclei were stained with DAPI. Quantification of the IF staining signals was performed on two random visual fields of each sample of the three groups using ImageJ software.

Proteomics analysis of regenerated wound tissues

Approximately one-third of the wound tissues of each sample were used for proteomics analysis by Lc-Bio Technologies, Hangzhou, China. Briefly, the proteins were extracted by tissue homogenization using a tissue lyser (60 Hz, 2 min), followed by 15-min centrifugation (20,000 × g, 4 °C). Quality control of protein extraction was conducted using the Bradford method and SDS-PAGE. Then, the obtained proteins were digested with trypsin at the 50:1 ratio of protein to trypsin. After digestion, the peptides were labeled with Tandem Mass Tag (TMT; ThermoFisher Scientific, USA). Equal quantities of peptides from each sample were mixed and fractionated using a 3.5 μm 4.6 × 150 mm Agilent ZORBAX 300Extend-C18 column on the UltiMate™ 3000 Binary Rapid Separation System (Thermo Fisher Scientific, USA). The gradient elution was performed using monitoring elution peaks at 214 nm, and fractions were collected every minute. The obtained fractions were freeze-dried. Afterward, the dried peptide samples were redissolved and separated using the EASY-nLC™ 1200 system (Thermo Fisher Scientific, USA). The separated peptides were ionized using a nano-ESI and then transferred to Orbitrap Exploris™ 480 mass spectrometer (MS; Thermo Fisher Scientific, USA) for DDA mode detection. MaxQuant (version 2.1.4.0) software was used to analyze the TMT-plexed MS/MS raw data. Statistical analysis was performed using R software (version 4.0.0). Proteins were considered statistically different when the p value was <0.05 and the fold-change was >1.2. OmicStudio tools at https://www.omicstudio.cn/tool were used to draw principal component analysis chart, volcano plot, biological process enrichment scatter plot, and heatmap81. STRING database at https://cn.string-db.org/ was used to study protein-protein interactions where the combined score å 0.700. Cytoscape at https://cytoscape.org/ was applied to draw protein-protein interaction and protein-biological process relation networks.

Cytokine and metabolite detection

Multiple cytokines of the wound tissue homogenates were measured simultaneously by using a Proteome Profiler Rat Cytokine Array Kit, Panel A (ARY008, R&D, USA) strictly according to the manufacturer’s instructions. The concentrations of the lipid peroxide products (MDA), and the proinflammatory cytokines (TNF-ɑ) were detected using an MDA kit (KGT003, KeyGen Biotech) and TNF-ɑ ELISA kit (Enzyme-linked Biotechnology Co., Ltd, Shanghai, China).

qPCR analysis

Quantitative PCR was performed according to the laboratory protocol82. In general, the total RNA was extracted from the wound tissues and reverse-transcribed with HiScript III RT SuperMix (Vazyme Biotechnology, China). Then, the reverse transcription products were amplified by QuantStudio™ 3 (Applied Biosystems, USA) using SYBR Green QPCR Master Mix (Vazyme Biotechnology, China) by referring to the manufacturer’s instructions. The primer sequences of the genes (HIF-1ɑ and Tubulin) synthesized by General Bio Co., Ltd (Chuzhou, China) are presented in Supplementary Table 283. Tubulin was used as a housekeeping gene, and mRNA expression was calculated by the 2-∆∆Ct method and normalized to the average value of the simple hydrogel group.

Statistical analysis

Unless stated otherwise, all statistical analyses were performed with GraphPad Prism 9.0 (GraphPad Software, USA), and represented as mean ± standard deviation (SD). Numerical data from the repetitive measurements were analyzed by using the unpaired Student’s t test (two-sided), one-way ANOVA (≥3 groups), or two-way ANOVA (with two influencing factors). Multiple comparisons were performed if necessary. A p-value of less than 0.05 indicates statistical significance.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Peer Review File (3.4MB, pdf)
Reporting Summary (1.3MB, pdf)

Source data

Source Data (12.8MB, zip)

Acknowledgements

We are grateful for financial support from the National Natural Science Foundation of China [82300648 (J.H.), 82270595 (J.R.), and 32171402 (Z.L.)], China Postdoctoral Science Foundation [BX20220393 (J.H.), and 2022M723891 (J.H.)], Natural Science Foundation of Jiangsu Province [BK20231091 (J.H.)], Key Research and Development Program of Jiangsu Province [BE2022823 (J.R.), and BE2023810 (B.C.)], and Jiangsu Provincial Medical Innovation Center [CXZX202217 (J.R.)].

Author contributions

J.H., X.W., B.C., and J.R.: conceptualization; J.H., Z.L., B.C., and J.R.: funding acquisition; J.H., R.Y., P.W.: material synthesis and characterization; J.H. and Z.L.: DLP printing; J.H., J.J., Z.L., Y.L., S.L., C.C., G.Q., and K.C.: cell and animal experiments; X.W., B.C., and J.R.: supervision and validation; J.H.: writing the original draft; J.H., R.Y., J.J., and X.W.: review, editing, and revision.

Peer review

Peer review information

Nature Communications thanks Amnah Alsayyar, Xuqiang Nie and the other, anonymous, reviewers for their contribution to the peer review of this work. A peer review file is available.

Data availability

The proteomics data are publicly accessible at iProX (https://www.iprox.cn/page/home.html) with the dataset identifier PXD036045. Source data are provided with this paper. Data are available from the authors upon request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Jinjian Huang, Rong Yang, Jiao Jiao.

Contributor Information

Xiuwen Wu, Email: wuxiuwen@nju.edu.cn.

Bo Chi, Email: chibo@njtech.edu.cn.

Jianan Ren, Email: JiananR@nju.edu.cn.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-023-43364-2.

References

  • 1.Sen CK. Human wound and its burden: updated 2020 compendium of estimates. Adv. Wound Care. 2021;10:281–292. doi: 10.1089/wound.2021.0026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Armstrong DG, et al. Five year mortality and direct costs of care for people with diabetic foot complications are comparable to cancer. J. Foot Ankle Res. 2020;13:16. doi: 10.1186/s13047-020-00383-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Medical device: diabetic foot ulcer (DFU) treatment market. Available at: https://www.fortunebusinessinsights.com/industry-reports/diabetic-foot-ulcer-dfu-treatment-market-101948 (2020).
  • 4.Everett, E. & Mathioudakis, N. Update on management of diabetic foot ulcers. Ann. N.Y. Acad. Sci. 1411, 153–165 (2018). [DOI] [PMC free article] [PubMed]
  • 5.Falanga V. Wound healing and its impairment in the diabetic foot. Lancet. 2005;366:1736–1743. doi: 10.1016/S0140-6736(05)67700-8. [DOI] [PubMed] [Google Scholar]
  • 6.Patel S, Srivastava S, Singh MR, Singh D. Mechanistic insight into diabetic wounds: Pathogenesis, molecular targets and treatment strategies to pace wound healing. Biomed. Pharmacother. 2019;112:108615. doi: 10.1016/j.biopha.2019.108615. [DOI] [PubMed] [Google Scholar]
  • 7.Eming SA, Martin P, Tomic-Canic M. Wound repair and regeneration: mechanisms, signaling, and translation. Sci. Transl. Med. 2014;6:265sr6. doi: 10.1126/scitranslmed.3009337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Korntner S, et al. Limiting angiogenesis to modulate scar formation. Adv. Drug Deliv. Rev. 2019;146:170–189. doi: 10.1016/j.addr.2018.02.010. [DOI] [PubMed] [Google Scholar]
  • 9.Zhang J, Qiu Q, Wang H, Chen C, Luo D. TRIM46 contributes to high glucose-induced ferroptosis and cell growth inhibition in human retinal capillary endothelial cells by facilitating GPX4 ubiquitination. Exp. Cell Res. 2021;407:112800. doi: 10.1016/j.yexcr.2021.112800. [DOI] [PubMed] [Google Scholar]
  • 10.Jin H, et al. BDNF-mediated mitophagy alleviates high-glucose-induced brain microvascular endothelial cell injury. Apoptosis. 2019;24:511–528. doi: 10.1007/s10495-019-01535-x. [DOI] [PubMed] [Google Scholar]
  • 11.Dong Y, et al. Role of endoplasmic reticulum stress signalling in diabetic endothelial dysfunction and atherosclerosis. Diabetes Vasc. Dis. Res. 2017;14:14–23. doi: 10.1177/1479164116666762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.McGarry T, Biniecka M, Veale DJ, Fearon U. Hypoxia, oxidative stress and inflammation. Free Radic. Biol. Med. 2018;125:15–24. doi: 10.1016/j.freeradbiomed.2018.03.042. [DOI] [PubMed] [Google Scholar]
  • 13.Rosenberger P, et al. Hypoxia-inducible factor-dependent induction of netrin-1 dampens inflammation caused by hypoxia. Nat. Immunol. 2009;10:195–202. doi: 10.1038/ni.1683. [DOI] [PubMed] [Google Scholar]
  • 14.Dixon D, Edmonds M. Managing diabetic foot ulcers: pharmacotherapy for wound healing. Drugs. 2021;81:29–56. doi: 10.1007/s40265-020-01415-8. [DOI] [PubMed] [Google Scholar]
  • 15.Zhou K, Ma Y, Brogan MS. Chronic and non-healing wounds: the story of vascular endothelial growth factor. Med. Hypotheses. 2015;85:399–404. doi: 10.1016/j.mehy.2015.06.017. [DOI] [PubMed] [Google Scholar]
  • 16.Li G, et al. Expression and influence of matrix metalloproteinase-9/tissue inhibitor of metalloproteinase-1 and vascular endothelial growth factor in diabetic foot ulcers. Int. J. Low. Extrem. Wounds. 2017;16:6–13. doi: 10.1177/1534734617696728. [DOI] [PubMed] [Google Scholar]
  • 17.Marti-Carvajal, A. J. et al. Growth factors for treating diabetic foot ulcers. Cochrane Database Syst Rev. 2015, CD008548 (2015). [DOI] [PMC free article] [PubMed]
  • 18.Hassanpour S, et al. Thrombolytic agents: nanocarriers in controlled release. Small. 2020;16:e2001647. doi: 10.1002/smll.202001647. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Huang J, et al. Novel in situ forming hydrogel based on xanthan and chitosan re-gelifying in liquids for local drug delivery. Carbohydr. Polym. 2018;186:54–63. doi: 10.1016/j.carbpol.2018.01.025. [DOI] [PubMed] [Google Scholar]
  • 20.Subrata SA, Phuphaibul R. A nursing metaparadigm perspective of diabetic foot ulcer care. Br. J. Nurs. 2019;28:S38–S50. doi: 10.12968/bjon.2019.28.6.S38. [DOI] [PubMed] [Google Scholar]
  • 21.Zhu Y, et al. Sustained release of stromal cell derived factor-1 from an antioxidant thermoresponsive hydrogel enhances dermal wound healing in diabetes. J. Control. Release. 2016;238:114–122. doi: 10.1016/j.jconrel.2016.07.043. [DOI] [PubMed] [Google Scholar]
  • 22.Martino MM, Briquez PS, Ranga A, Lutolf MP, Hubbell JA. Heparin-binding domain of fibrin(ogen) binds growth factors and promotes tissue repair when incorporated within a synthetic matrix. Proc. Natl. Acad. Sci. USA. 2013;110:4563–4568. doi: 10.1073/pnas.1221602110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Liu G, et al. A cocktail of growth factors released from a heparin hyaluronic-acid hydrogel promotes the myogenic potential of human urine-derived stem cells in vivo. Acta Biomater. 2020;107:50–64. doi: 10.1016/j.actbio.2020.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Grim JC, Marozas IA, Anseth KS. Thiol-ene and photo-cleavage chemistry for controlled presentation of biomolecules in hydrogels. J. Control. Release. 2015;219:95–106. doi: 10.1016/j.jconrel.2015.08.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Garty S, et al. Peptide-modified “smart” hydrogels and genetically engineered stem cells for skeletal tissue engineering. Biomacromolecules. 2010;11:1516–1526. doi: 10.1021/bm100157s. [DOI] [PubMed] [Google Scholar]
  • 26.Qu M, et al. Stimuli-responsive delivery of growth factors for tissue engineering. Adv. Healthc. Mater. 2020;9:e1901714. doi: 10.1002/adhm.201901714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Huang J, et al. Tunable sequential drug delivery system based on chitosan/hyaluronic acid hydrogels and PLGA microspheres for management of non-healing infected wounds. Mater. Sci. Eng. C-Mater. Biol. Appl. 2018;89:213–222. doi: 10.1016/j.msec.2018.04.009. [DOI] [PubMed] [Google Scholar]
  • 28.Ding S, O’Banion CP, Welfare JG, Lawrence DS. Cellular cyborgs: on the precipice of a drug delivery revolution. Cell Chem. Biol. 2018;25:648–658. doi: 10.1016/j.chembiol.2018.03.003. [DOI] [PubMed] [Google Scholar]
  • 29.Wang S, Zhao Q, Li J, Du X. Morphing-to-adhesion polysaccharide hydrogel for adaptive biointerfaces. ACS Appl. Mater. Interfaces. 2022;14:42420–42429. doi: 10.1021/acsami.2c10117. [DOI] [PubMed] [Google Scholar]
  • 30.Cheng J, et al. Centrifugal multimaterial 3D printing of multifunctional heterogeneous objects. Nat. Commun. 2022;13:7931. doi: 10.1038/s41467-022-35622-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Xu Z, Liu G, Li Q, Wu J. A novel hydrogel with glucose-responsive hyperglycemia regulation and antioxidant activity for enhanced diabetic wound repair. Nano Res. 2022;15:5305–5315. doi: 10.1007/s12274-022-4192-y. [DOI] [Google Scholar]
  • 32.Xu Z, et al. Hyaluronic acid-based glucose-responsive antioxidant hydrogel platform for enhanced diabetic wound repair. Acta Biomater. 2022;147:147–157. doi: 10.1016/j.actbio.2022.05.047. [DOI] [PubMed] [Google Scholar]
  • 33.Liu G, et al. Janus hydrogel with dual antibacterial and angiogenesis functions for enhanced diabetic wound healing. Chin. Chem. Lett. 2023;34:107705. doi: 10.1016/j.cclet.2022.07.048. [DOI] [Google Scholar]
  • 34.Zhang L, et al. A systematic review and meta-analysis of clinical effectiveness and safety of hydrogel dressings in the management of skin wounds. Front. Bioeng. Biotechnol. 2019;7:342. doi: 10.3389/fbioe.2019.00342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Kurian AG, Singh RK, Patel KD, Lee J, Kim H. Multifunctional GelMA platforms with nanomaterials for advanced tissue therapeutics. Bioact. Mater. 2022;8:267–295. doi: 10.1016/j.bioactmat.2021.06.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Kim SH, et al. 3D bioprinted silk fibroin hydrogels for tissue engineering. Nat. Protoc. 2021;16:5484–5532. doi: 10.1038/s41596-021-00622-1. [DOI] [PubMed] [Google Scholar]
  • 37.Xie C, et al. High-efficient engineering of osteo-callus organoids for rapid bone regeneration within one month. Biomaterials. 2022;288:121741. doi: 10.1016/j.biomaterials.2022.121741. [DOI] [PubMed] [Google Scholar]
  • 38.Taylor DA, Sampaio LC, Ferdous Z, Gobin AS, Taite LJ. Decellularized matrices in regenerative medicine. Acta Biomater. 2018;74:74–89. doi: 10.1016/j.actbio.2018.04.044. [DOI] [PubMed] [Google Scholar]
  • 39.Kolb HC, Finn MG, Sharpless KB. Click chemistry: diverse chemical function from a few good reactions. Angew. Chem. Int. Ed. 2001;40:2004–2021. doi: 10.1002/1521-3773(20010601)40:11&#x0003c;2004::AID-ANIE2004&#x0003e;3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
  • 40.Daniele MA, Adams AA, Naciri J, North SH, Ligler FS. Interpenetrating networks based on gelatin methacrylamide and PEG formed using concurrent thiol click chemistries for hydrogel tissue engineering scaffolds. Biomaterials. 2014;35:1845–1856. doi: 10.1016/j.biomaterials.2013.11.009. [DOI] [PubMed] [Google Scholar]
  • 41.Yang R, et al. Bioinspired poly (γ-glutamic acid) hydrogels for enhanced chondrogenesis of bone marrow-derived mesenchymal stem cells. Int. J. Biol. Macromol. 2020;142:332–344. doi: 10.1016/j.ijbiomac.2019.09.104. [DOI] [PubMed] [Google Scholar]
  • 42.Sawyer AA, Weeks DM, Kelpke SS, McCracken MS, Bellis SL. The effect of the addition of a polyglutamate motif to RGD on peptide tethering to hydroxyapatite and the promotion of mesenchymal stem cell adhesion. Biomaterials. 2005;26:7046–7056. doi: 10.1016/j.biomaterials.2005.05.006. [DOI] [PubMed] [Google Scholar]
  • 43.Rao X, et al. Tuning C–C sp2/sp3 ratio of DLC films in FCVA system for biomedical application. Bioact. Mater. 2020;5:192–200. doi: 10.1016/j.bioactmat.2020.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hong H, et al. Digital light processing 3D printed silk fibroin hydrogel for cartilage tissue engineering. Biomaterials. 2020;232:119679. doi: 10.1016/j.biomaterials.2019.119679. [DOI] [PubMed] [Google Scholar]
  • 45.Quan H, et al. Photo-curing 3D printing technique and its challenges. Bioact. Mater. 2020;5:110–115. doi: 10.1016/j.bioactmat.2019.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Kuang X, et al. Grayscale digital light processing 3D printing for highly functionally graded materials. Sci. Adv. 2019;5:eaav5790. doi: 10.1126/sciadv.aav5790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Li Q, et al. Balancing flexural strength and porosity in DLP-3D printing Al2O3 cores for hollow turbine blades. J. Mater. Sci. Technol. 2022;104:19–32. doi: 10.1016/j.jmst.2021.05.077. [DOI] [Google Scholar]
  • 48.Peng X, et al. Integrating digital light processing with direct ink writing for hybrid 3D printing of functional structures and devices. Addit. Manuf. 2021;40:101911. [Google Scholar]
  • 49.Gilbert C, et al. Living materials with programmable functionalities grown from engineered microbial co-cultures. Nat. Mater. 2021;20:691–700. doi: 10.1038/s41563-020-00857-5. [DOI] [PubMed] [Google Scholar]
  • 50.Li X, et al. Living and injectable porous hydrogel microsphere with paracrine activity for cartilage regeneration. Small. 2023;19:e2207211. doi: 10.1002/smll.202207211. [DOI] [PubMed] [Google Scholar]
  • 51.Ganta VC, Choi M, Farber CR, Annex BH. Antiangiogenic VEGF(165)b regulates macrophage polarization via S100A8/S100A9 in peripheral artery disease. Circulation. 2019;139:226–242. doi: 10.1161/CIRCULATIONAHA.118.034165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Mao W, et al. Phloretin ameliorates diabetes-induced endothelial injury through AMPK-dependent anti-EndMT pathway. Pharmacol. Res. 2022;179:106205. doi: 10.1016/j.phrs.2022.106205. [DOI] [PubMed] [Google Scholar]
  • 53.Lin MT, Beal MF. Mitochondrial dysfunction and oxidative stress in neurodegenerative diseases. Nature. 2006;443:787–795. doi: 10.1038/nature05292. [DOI] [PubMed] [Google Scholar]
  • 54.Storz P. Mitochondrial ROS-radical detoxification, mediated by protein kinase D. Trends Cell Biol. 2007;17:13–18. doi: 10.1016/j.tcb.2006.11.003. [DOI] [PubMed] [Google Scholar]
  • 55.Papa S, et al. The oxidative phosphorylation system in mammalian mitochondria. Adv. Exp. Med. Biol. 2012;942:3–37. doi: 10.1007/978-94-007-2869-1_1. [DOI] [PubMed] [Google Scholar]
  • 56.Riley JS, et al. Mitochondrial inner membrane permeabilisation enables mtDNA release during apoptosis. EMBO J. 2018;37:e99238. doi: 10.15252/embj.201899238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.McArthur K, et al. BAK/BAX macropores facilitate mitochondrial herniation and mtDNA efflux during apoptosis. Science. 2018;359:eaao6047. doi: 10.1126/science.aao6047. [DOI] [PubMed] [Google Scholar]
  • 58.Thees S, Hubbard GB, Winckler J, Schultz C, Rami A. Specific alteration of the Bax/Bcl2 ratio and cytochrome c without execution of apoptosis in the hippocampus of aged baboons. Restor. Neurol. Neurosci. 2005;23:1–9. [PubMed] [Google Scholar]
  • 59.Feng P, Li T, Guan Z, Franklin RB, Costello LC. The involvement of Bax in zinc-induced mitochondrial apoptogenesis in malignant prostate cells. Mol. Cancer. 2008;7:25. doi: 10.1186/1476-4598-7-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Lin CK, et al. VEGF mediates fat embolism-induced acute lung injury via VEGF receptor 2 and the MAPK cascade. Sci. Rep. 2019;9:11713. doi: 10.1038/s41598-019-47276-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Hu C, et al. Dissecting the microenvironment around biosynthetic scaffolds in murine skin wound healing. Sci. Adv. 2021;7:eabf0787. doi: 10.1126/sciadv.abf0787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Tang F, et al. Bioactive glass promotes the barrier functional behaviors of keratinocytes and improves the Re-epithelialization in wound healing in diabetic rats. Bioact. Mater. 2021;6:3496–3506. doi: 10.1016/j.bioactmat.2021.02.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Kisling A, Lust RM, Katwa LC. What is the role of peptide fragments of collagen I and IV in health and disease? Life Sci. 2019;228:30–34. doi: 10.1016/j.lfs.2019.04.042. [DOI] [PubMed] [Google Scholar]
  • 64.Stefanovic BRNA. protein interactions governing expression of the most abundant protein in human body, type I collagen. Wiley Interdiscip. Rev.-RNA. 2013;4:535–545. doi: 10.1002/wrna.1177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Rudnick A. Advances in tissue engineering and use of type 1 bovine collagen particles in wound bed preparation. J. Wound Care. 2006;15:402–404. doi: 10.12968/jowc.2006.15.9.26962. [DOI] [PubMed] [Google Scholar]
  • 66.Huang J, et al. Marine-inspired molecular mimicry generates a drug-free, but immunogenic hydrogel adhesive protecting surgical anastomosis. Bioact. Mater. 2021;6:770–782. doi: 10.1016/j.bioactmat.2020.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Guan Y, et al. Sustained oxygenation accelerates diabetic wound healing by promoting epithelialization and angiogenesis and decreasing inflammation. Sci. Adv. 2021;7:eabj0153. doi: 10.1126/sciadv.abj0153. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Nolfi-Donegan D, Braganza A, Shiva S. Mitochondrial electron transport chain: Oxidative phosphorylation, oxidant production, and methods of measurement. Redox Biol. 2020;37:101674. doi: 10.1016/j.redox.2020.101674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kadenbach B. Complex IV – the regulatory center of mitochondrial oxidative phosphorylation. Mitochondrion. 2021;58:296–302. doi: 10.1016/j.mito.2020.10.004. [DOI] [PubMed] [Google Scholar]
  • 70.Martin P, Leibovich SJ. Inflammatory cells during wound repair: the good, the bad and the ugly. Trends Cell Biol. 2005;15:599–607. doi: 10.1016/j.tcb.2005.09.002. [DOI] [PubMed] [Google Scholar]
  • 71.Martin P, Nunan R. Cellular and molecular mechanisms of repair in acute and chronic wound healing. Br. J. Dermatol. 2015;173:370–378. doi: 10.1111/bjd.13954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Lee YS, et al. Increased adipocyte O2 consumption triggers HIF-1alpha, causing inflammation and insulin resistance in obesity. Cell. 2014;157:1339–1352. doi: 10.1016/j.cell.2014.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Brglez P, Holobar A, Pivec A, Natasa B, Kolar M. Determination of oxygen by means of a biogas and gas - interference study using an optical tris (4,7-diphenyl-1,10-phenanthroline) ruthenium(II) dichloride complex sensor. Acta Chim. Slov. 2012;59:50–58. [PubMed] [Google Scholar]
  • 74.Wang GL, Jiang BH, Rue EA, Semenza GL. Hypoxia-inducible factor 1 is a basic-helix-loop-helix-PAS heterodimer regulated by cellular O2 tension. Proc. Natl. Acad. Sci. USA. 1995;92:5510–5514. doi: 10.1073/pnas.92.12.5510. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Cramer T, et al. HIF-1alpha is essential for myeloid cell-mediated inflammation. Cell. 2003;112:645–657. doi: 10.1016/S0092-8674(03)00154-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.He X, et al. A volatile microemulsion method of preparing water-soluble photo-absorbers for 3D printing of high-resolution, high-water-content hydrogel structures. Soft Matter. 2023;19:3700–3710. doi: 10.1039/D2SM01709A. [DOI] [PubMed] [Google Scholar]
  • 77.Ma Y, et al. Biomacromolecule-based agent for high-precision light-based 3D hydrogel bioprinting. Cell Rep. Phys. Sci. 2022;3:100985. doi: 10.1016/j.xcrp.2022.100985. [DOI] [Google Scholar]
  • 78.Tiscornia G, Singer O, Verma IM. Production and purification of lentiviral vectors. Nat. Protoc. 2006;1:241–245. doi: 10.1038/nprot.2006.37. [DOI] [PubMed] [Google Scholar]
  • 79.Huang J, et al. Rock climbing-inspired electrohydrodynamic cryoprinting of micropatterned porous fiber scaffolds with improved msc therapy for wound healing. Adv. Fiber Mater. 2023;5:312–326. doi: 10.1007/s42765-022-00224-w. [DOI] [Google Scholar]
  • 80.Wang H, et al. Extracellular matrix-mimetic immunomodulatory hydrogel for accelerating wound healing. Adv. Healthc. Mater. 2023;12:e2301264. doi: 10.1002/adhm.202301264. [DOI] [PubMed] [Google Scholar]
  • 81.Lyu F, et al. OmicStudio: a composable bioinformatics cloud platform with real-time feedback that can generate high-quality graphs for publication. iMeta. 2023;2:e85. doi: 10.1002/imt2.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Zhang X, et al. mtDNA-STING pathway promotes necroptosis-dependent enterocyte injury in intestinal ischemia reperfusion. Cell Death Dis. 2020;11:1050. doi: 10.1038/s41419-020-03239-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Roy A, et al. Activation of HIF-1α mRNA by hypoxia and iron chelator in isolated rat carotid body. Neurosci. Lett. 2004;363:229–232. doi: 10.1016/j.neulet.2004.03.073. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (3.4MB, pdf)
Reporting Summary (1.3MB, pdf)
Source Data (12.8MB, zip)

Data Availability Statement

The proteomics data are publicly accessible at iProX (https://www.iprox.cn/page/home.html) with the dataset identifier PXD036045. Source data are provided with this paper. Data are available from the authors upon request.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES