Abstract
Despite the intrinsic repair of peripheral nerve injury (PNI), it is important to carefully monitor the process of peripheral nerve repair, as peripheral nerve regeneration is slow and incomplete in large traumatic lesions. Hence, mesenchymal stem cells (MSCs) with protective and regenerative functions are utilized in synergy with innovative micro/nano technologies to enhance the regeneration process of peripheral nerves. Nonetheless, as MSCs are assessed using standard regenerative criteria including sensory–motor indices, structural features, and morphology, it is challenging to differentiate between the protective and regenerative impacts of MSCs on neural tissue. This study aims to analyze the process of nerve regeneration, particularly the performance of MSCs with and without synergistic approaches. It also focuses on the paracrine secretions of MSCs and their conversion into neurons with functional properties that influence nerve regeneration after PNI. Furthermore, the study explores new ideas for nerve regeneration after PNI by considering the synergistic effect of MSCs and therapeutic compounds, neuronal cell derivatives, biological or polymeric conduits, organic/inorganic nanoparticles, and electrical stimulation. Finally, the study highlights the main obstacles to developing synergy in nerve regeneration after PNI and aims to open new windows based on recent advances in neural tissue regeneration.
1 Introduction
Despite the long history of peripheral nerve (PN) regeneration through therapeutic interventions since the early19th century (Todd, 1823), sensory-motor disorders resulting from peripheral nerve injury (PNI) remain a major challenge in human society. PN have a greater capacity for repair than the central nervous system. Nevertheless, self-repair of PN may result in secondary complications including dysfunction, pain, decreased surgical effectiveness, scarring, adhesions, and neuromas depending on the site, type, and seriousness of the injury (Scheib and Höke, 2013; Panagopoulos et al., 2017; Ortiz et al., 2022). Thus, scientists are exploring different methods like cell therapy, nanomedicine, and drug delivery to reduce complications and enhance the PNs self-renewal rate (Figure 1; Table 1), particularly when the nerve is severed over 5 mm. However, these strategies are challenging to apply to neuron regeneration due to the limitations outlined in Table 1.
FIGURE 1
TABLE 1
| Therapeutic strategy | Benefits | Drawbacks | |
|---|---|---|---|
| Chemotherapy | Different treatment routes, high drug diversity, high synergy with other therapeutic approaches, simultaneous use of different drug compounds, simple therapeutic management, relatively low cost | Low targeting, high side effects with long-term therapy, toxicity from overdose, low drug stability, low regenerative efficiency and weak neurologic function, lack of control over the regeneration process, low neurogenesis, long-term treatment | |
| Cell therapy | Improves the regeneration environment with programmable secretions, ability to control immunogenesis, ability to synchronize therapeutic perspectives, optimal therapeutic efficiency compared with chemotherapy, low neuropathy, low invasiveness | Tumorigenesis and teratogenicity in pluripotent stem cells, high costs, pre-treatment and transfer, ethical challenges in some cells such as ESCs, limited cell variety, lack of universal cells, dedifferentiation and unfavorable differentiation, limited commercialization, side effects with migrating, conflicting therapeutic responses | |
| Grafts | Autograft | Accelerates regeneration, no immunogenicity, providing neurotrophic factors, easy access, no graft rejection, easy suturing, rapid inflammation reduction | Resource limitations, multiple surgeries, donor site challenges such as trauma, infection and tissue inefficiency, prolonged treatment, neuroma formation, different tissue size |
| Allograft | Reduces surgical time and improved recovery time, useful in large nerve damage, access higher than autograft | Acceleration of immunogenicity, virus, or bacteria transmission, neuro-structural changes during processing, relative decrease in neurological function, resource limitations, ethical concerns, need for suppressors | |
| Conduits | Biological | Improves neural structure, strong cell bonding, reservoir of neurotrophic factors, biodegradable, nerve buds’ guidance, enhanced angiogenesis, low inflammation | Diverse neural responses, long manufacturing process, more limited access, in some cases immunological challenges |
| Natural | Provides cell adhesion agents, biodegradable, significant control of fibrosis, control of cell migration, semi-porous, relatively cheap, improves angiogenesis in some cases | Low Young`s modulus, variable mechanical properties, asymmetric degradability, limited resources, high inflammatory reactivity, high decomposition at pH < 7, heterogenous structure | |
| Synthetic | Controllable and reproducible physicochemical structures, high mechanical features, high porosity and permeability, cell migration enhancement, simple processing, low cost | Low cell adhesion, toxicity byproducts, low bioactivity, low biocompatibility, risk of nerve compression during repair, ischemia of adjacent tissues, reduced angiogenesis, poor repeatability in production | |
| Nanoparticles | Inorganic | Regulates cell migration, induces physicochemical signals, antibacterial, increases electrical conductivity, guiding the growth of neurites and axons, biocompatible | High toxicity due to agglomeration or release of active ions, long-term stability in damaged tissue, impurities in some alloys, immunogenicity, non-bioactivity |
| Organic | High biocompatibility, high cellular attachment, bioactivity, good availability, low cost, inducing cell differentiation, biodegradable, limited immunogenicity | Impurities in some sources, limitation in the engineering of platforms with different shapes and dimensions, Rapid degradation in some materials, immunogenicity, ambiguity in inducing growth of nerves and axons | |
| Exosomes | Low immunogenicity, highly targeted, enhanced neurogenesis by inducing biological agents, easy maintenance, few side effects, biocompatibility | Lack of standard manufacturing protocol, low stability, difficult to isolate and purify, conflicting reaction in neuronal regeneration, low reproducibility due to different molecular profile | |
The most common strategies used in peripheral nerve regeneration after PNI (Scheib and Höke, 2013; ; Wang et al., 2015; ; Vijayavenkataraman, 2020; Sharifi et al., 2022b; Supra et al., 2023).
To address mentioned obstacles, researchers are now focusing on synergistic strategies that combine multiple techniques and interventions. For instance, neural tissue regeneration can be stimulated by the synergistic effects of mesenchymal stem cells (MSCs) or their secretomes with conduits to reduce inflammation and optimize the environment (Shalaby et al., 2017). Also, the use of nanoparticles (NPs) with MSCs to promote their proliferation and conversion into neurons is of great interest (Tseng and Hsu, 2014). These activities have shown positive impacts on PN regeneration after injury by regulating growth factors, cell exchange, and migration control. However, accessing neural progenitor cells during PN regeneration remains a specific priority (Sullivan et al., 2016). Despite the great effects of MSCs in reducing inflammation, promoting the proliferation of niche cells, and increasing the neural progenitor cell function, their use remains challenging (Zhang R.-C. et al., 2021; ). One challenge is the lack of promising neuronal function and an insufficient number of neurites after differentiation (). Nevertheless, researchers are actively working to address these challenges and improve the efficacy of MSC-based PN regeneration. The impressive synergistic effects of MSCs on neuronal regeneration have led to increasing application of MSCs, with or without neural progenitor cells. Since the discovery of bone marrow MSCs (BM-MSCs) in 1970 (), MSCs have attracted considerable attention in regenerative medicine due to several potential features including selective differentiation, reduced inflammation, abundant resources, and simple and easy extraction (Sensharma et al., 2017). Despite these benefits, the protective effect of MSCs on the neural microenvironment and their differentiation into neural cells and structures remains unknown. Therefore, this review aims to provide a perspective on PN regeneration based on the synergistic effect of MSCs and micro- and nano-structural strategies. Also, this review attempts to highlight the challenges, benefits, and limitations associated with synergistic strategies in MSC-based PN regeneration.
2 Mesenchymal stem cells
In PNI repairs, autologous, allogeneic, or xenogeneic stem cells are typically isolated, cultured, and then transferred to the injured area. In this context, MSCs are highly valued for their abundant available resources, lack of ethical issues, low immunogenicity, pronounced anti-inflammatory function, and simultaneous multimodal functions () (Table 2). Mesoderm-derived and multipotent MSCs () employ three strategies for PN regeneration: (1) secretion of biological factors, (2) housekeeping approaches, and (3) multimodal differentiation potential (Figure 2). However, contrary to the in vitro results, in vivo outcomes indicate that MSCs, instead of differentiating into damaged tissue cells, contribute to the formation and training of neural progenitor cells. Thus, deciphering the function of MSCs with and without neural progenitor cells in PN regeneration requires the identification of MSC-specific markers and their differentiated cells (Table 2).
TABLE 2
Cells | Source | Extraction | Drawbacks | Markers | Differentiation capabilities | Ref. |
|---|---|---|---|---|---|---|
| Bone marrow-MSCs | Tubular, iliac crest, femur, tibia | Washing the bone marrow, separating the cells by centrifugation, and removing non-adherent cells in the culture medium | Extracting MSCs from this source is painful and the risk of transmission of infection is serious. The capacity and volume of the cell depends on the age of the donor | CD29+, CD44+, CD73+, CD90+, CD105+, Sca-1+, CD14−, CD34−, CD45−, CD19−, CD11b−, CD31−, CD86− | Adipocytes, Astrocytes, Cardiomyocytes, Chondrocytes, Hepatocytes, Mesangial cells, Muscle cells, Neurons, Osteoblasts, Stromal cells | Sharifi et al. (2022c) |
| Adipose-MSCs | Subcutaneous adipose, buttocks, and abdominal zone | Digesting the fragmented tissue with type I collagenase and centrifuging them, then culturing the cells to remove non-adherent cells | Despite the easy access and the high number of cells that can be extracted, it has a low differentiation potential to bone, liver, nerve, and heart tissues | CD29+, CD34+, CD44+, CD73+, CD90+, CD105+, CD146+, CD166+, MHC-I+, CD31−, CD45−, CD117−, HLA-DR− | Adipocytes, Chondrocytes, Osteocytes, Muscle cells | Minteer et al. (2013),Zack-Williams et al. (2015) |
| Birth derived-MSCs | Umbilical cord blood (UCB), placenta (P), Warton’s Jelly (WJ), amniotic fluid (AF) | 1. Collection of umbilical cord blood by ficoll gradient, culture, and removal of non-adherent cells 2. Digestion of amniotic membranes or placenta by collagenase type 1 and collection of adherent cells from the culture medium | Although there are no ethical issues and noninvasive access, the differentiation potential is low. In addition, the reduction in the number of colonies and insufficient amount for clinical application is also significant | CD29+, CD44+, CD73+, CD90+, CD105+, CD166+, CD14−, CD31−, CD34−, CD45−, CD106−, HLA-DR− | UCB-MSCs: Adipocytes, Chondrocytes WJ-MSCs Chondrocytes Dopaminergic neurons P-MSCs Pancreatic cells AF-MSCs Neural stem cells Adipocytes Osteoblasts Chondrocytes Hepatocytes | Lobov et al. (2024) |
| Skeletal-muscle-derived-MSCs | Skeletal muscle tissue | Enzymatic digestion of fragmented samples with type II collagenase and filtration with 40 or 100 μm filters and removal of non-adherent cells on the plastic surface | The cell harvesting approach is invasive and sometimes associated with the induction of infection | CD29+, CD44+, CD73+, CD90+, CD105+, CD14−, CD19−, CD34−, CD45−, HLA-DR− | Bone cells, Adipocytes, Chondrocytes, Muscle cells, Neural cells, Hepatocytes, Blood cells | Musavi et al. (2018) |
| Skin-MSCs | Foreskin and skin biopsies | Dissection of cultured skin sample in DMEM to purify the cells attached to the bottom of the flask | Collecting samples by invasive methods, increasing the possibility of infection after specimen collection | CD44+, CD73+, CD90+, CD105+, CD166+, SSEA-4+, Vimentin+, CD34−, CD45−, HLA-DR- | Chondral cells, Bone cells, Adipocytes, Neural cells, Glial cells, Pancreatic cells, Smooth muscle cells | Park et al. (2012),Orciani and Di Primio (2013) |
| Dental pulp-MSCs | Wisdom teeth, ectopic or even decayed teeth or root canal surgery | Drain the pulp cavity with PBS and culture in DMEM-F12 to remove non-adherent cells | Despite the challenges in accessing ectomesenchymal and periodontal tissues, such as the limitation in the number of waste teeth or the invasiveness of the donation process, they are valuable due to their strong potential for differentiation into neuronal lineage | CD29+, CD44+, CD90+, CD105+, CD14−, CD34−, CD45− | Odontoblasts, Osteoblasts, Adipocytes, Chondrocytes, Neurogenic cells, Myogenic cells | Pisciotta et al. (2020),Sramkó et al. (2023) |
Sources, extraction, differences, and the characteristics of MSCs.
FIGURE 2
In addition to specific markers, it is important to consider cell sources based on function and access. Aside from those in Table 2, neural crest-derived cells (NCCs) with MSC traits may enhance MSC conversion to neurons through dedifferentiation and transdifferentiation methods. To confirm this finding, it was shown that BM-MSCs have two developmental origins, one of which is neural crest, based on the NCC-specific codes P0-Cre/Floxed-EGFP and Wnt1-Cre/Floxed-EGFP (Morikawa et al., 2009). Those cells carrying neural crest stem cell genes clearly differentiated into neurons and glial cells. Subsequently, it was discovered that about 90% of gingival MSCs (G-MSCs) come from NCCs and 10% come from mesoderm. The NCC-derived G-MSCs have a strong capacity to differentiate into neurons and trigger apoptosis in activated T cells (Xu et al., 2013). In another study, demonstrated that Nestin+ cells, originating from resident NCCs in the bone marrow, sustain MSC activity and play a role in the generation of hematopoietic stem cells. They found that the MSCs that are responsible for hematopoietic stem cell formation have a shared lineage with peripheral sympathetic neurons and glial cells. However, NCC-derived MSCs were found to have distinct transcriptional and functional characteristics compared to mesodermal MSCs (Srinivasan et al., 2018). Although MSCs show phenotypic and functional diversity based on their origin, the genetic reasons and functional abilities behind these differences are not well comprehended.
3 Strategies for MSC-Based PN regeneration
MSCs show strong paracrine potential and their secretion can be responsible for nerve regeneration. Indeed, MSCs can stimulate the proliferation and differentiation of various cell types. Cell-to-cell contacts and paracrine signaling modulate the active molecule secretory capabilities of MSCs and stimulate the secretory activity of endogenous Schwann cells and the accumulation of macrophages near the site of injury. These macrophages have a positive roles at the injury site after PNI (). Macrophages, as with other inflammatory cells, are attracted to damaged tissue and play a vital role in regulating the inflammatory, proliferation, and regeneration of the tissue’s injured during the inflammatory process. Among inflammatory cells, macrophages demonstrate both pro-inflammatory (M1) and anti-inflammatory (M2) effects. In essence, M1 macrophages kickstart the healing process in the initial three to 5 days by clearing debris and pathogenic contamination through phagocytosis and secreting TNFα, IL-1α and IL-1β and metalloproteinase (Liu et al., 2019). Subsequently, the transition of M1 macrophages to M2 macrophages and the release of anti-inflammatory cytokines like IL-4/IL-13 and IL-10 promote activities such as proliferation, maturation, migration, resolution of inflammation, and angiogenesis (; Sharifi et al., 2024).
MSC secretion can also exert immunomodulatory, anti-inflammatory, neurotrophic, neuroprotective, and angiogenic effects on the host microenvironment. MSCs can contribute to PN regeneration by providing an enhanced neuroprotective microenvironment that prevents neurodegeneration and apoptosis while supporting neurogenesis, axonal growth, remyelination, and cell metabolism (Widgerow et al., 2013).
With the secretion of VEGF, MSCs have neurotrophic and mitogenic effects on peripheral nerves. In addition, the MSCs secretome induces axonal growth and Schwann cell proliferation following trauma. Finally, MSCs can also promote the proliferation and survival of neurons by inhibiting inflammatory responses and pro-apoptotic pathways, which represents critical steps for inducing nerve regeneration (Wang et al., 2019).
Various synergistic strategies can be observed in PN regeneration, with the most common ones involving the synergistic effect of MSCs and chemotherapy, cell therapy, conduits, nanomaterials, and stimulators. In all of these cases, the impact of MSCs on the regenerative activity of PN can be assessed in two ways: protection and regeneration (; Volkman and Offen, 2017). The protective effects of MSCs usually involve cell secretions that modulate immune-inflammatory functions, optimize the environment by reducing oxidative stress, strengthen neural structures, prevent abnormal tissue formation, and extend the lifespan of neurons (). MSCs’ regenerative action is more focused on their ability to differentiate into neurons or induce the differentiation of neural progenitor cells into neurons (Lo Furno et al., 2018). Despite the success and promising results achieved by synergistic strategies in MSC-based PN regeneration after injury, the mechanisms underlying the protective and regenerative effects of MSCs in these strategies remain unclear and contradictory.
3.1 Synergistic effect of MSCs and therapeutic compounds in repair of neuropathy and inflammation
3.1.1 Neuropathy
It is crucial to protect the peripheral nerves of cancer and diabetes patients from neuropathy caused by harmful drugs and biological agents. Neuropathic damage is frequently the result of oxidative stress, mitochondrial damage, cell death, changes in ion channel activity, microtubule damage, axonal degeneration, and demyelination (Martini and Willison, 2016). MSCs seem to have the potential to address these issues by reducing inflammation, promoting the activation of progenitor cells and neuronal differentiation, and optimizing the environment. In this regard, Mannelli et al. (2018) found that synergizing adipose-derived MSCS (AD-MSCs, 2 × 106) with oxaliplatin (2.4 mg/kg) effectively manages chemotherapy-induced neuropathic pain in colorectal cancer in a rat model. The reduction of neuropathic pain was attributed to the reversal of increased VEGF-A levels and a decrease in the amount of the VEGF165b isoform caused by AD-MSCs (Mannelli et al., 2018). However, using AD-MSCs presents challenges due to its limited distribution to non-target tissues and lower analgesic efficacy compared to the anti-VEGF-A monoclonal antibody bevacizumab (15 mg/kg). In another study, found that combining BM-MSCs (1 × 106) with pregabalin (30 mg/kg) reduced the negative impact of paclitaxel on the sciatic nerve as compared to using either approach alone. They discovered that this combined approach increased the total antioxidant capacity content by 1.34–1.48 times and the nerve growth factor (NGF) content by approximately ∼1.2-fold compared to using each method separately. Additionally, the combined use of BM-MSCs and pregabalin led to a further decrease in the expression of genes encoding the NF-kB p65 (∼1.8-fold), TNF-α (∼2.1-fold), and IL-6 (∼2.5-fold) compared to using pregabalin alone. Furthermore, the co-administration of BM-MSCs and pregabalin resulted in a reduction in inflammation through a decrease in the protein expression of phosphorylated p38 mitogen-activated protein kinase from ∼3.9 to ∼0.9 (AU) and caspase-3 from ∼14 to ∼4.9 (ng/mg) in the injured sciatic nerve. Subsequently, an increased axon count, optimized myelination, and improved sensory-motor function in rats confirmed the regenerative and anti-inflammatory effects of co-administering BM-MSCs and pregabalin compared to a singular approach (). Another study discovered that the administration of BM-MSCs with cisplatin in cancer treatment increased IL-10 levels produced by macrophages, significantly reducing pain and paw harms caused by neuropathy (Figure 3A) (). While the rate of PNI healing depends on factors such as drug dosage, prescribed compounds, injury site state, treatment duration, and wound location, Sezer et al. (2022) demonstrated that increasing the number of BM-MSCs from 1 × 106 to 5 × 106 in mice with paclitaxel-induced neuropathy reduced the healing time of the sciatic nerve from 30 to 15 days. MSCs have clinical applications, but the distribution of cells to non-target tissues, determination of cell number, and the balance of drug dose:cell number for PN regeneration pose major challenges.
FIGURE 3
Diabetic neuropathy, much like chemotherapy neuropathy, is influenced by the combined action of MSCs or their secretions with therapeutic substances. The condition involves demyelination of peripheral nerves and dysfunction of nerve fibers due to oxidative stress induced by high blood sugar levels in neurons. Diabetes worsens the degeneration of the peripheral nervous system by diminishing the transmission of brain-derived neurotrophic factor (BDNF), NGF, and neurotrophin-3 in peripheral nerves, as well as reducing the secretion of insulin-like growth factors (Sezer et al., 2022). In a study by
3.1.2 Inflammation Guardian
Using immune system modulators such as dexamethasone and tacrolimus can significantly impact peripheral nerve repair (Uzun et al., 2019). For example, Moattari et al. (2018) found that combining umbilical cord MSCs (UC-MSCs) (300,000 cells) and dexamethasone (1 mg/kg) within a polymer membrane increased nerve conduction velocity from 4 mV to 5 mV and improved the sciatic function index (SFI) (−60.41). This synergistic effect led to a significant increase in neuron number, improved nerve fiber diameter, and complete myelination of the transected sciatic nerve, compared to using dexamethasone and MSCs alone (Moattari et al., 2018). Additionally, another study described that the synergistic effect of AD-MSCs with tacrolimus not only improved cell survival during PNI repair without cytotoxic effects (Saffari T. M. et al., 2021), but also enhanced sciatic nerve myelination and neurite length (from 10% to 22%) (Saffari S. et al., 2021). In a study by Saffari S. et al. (2021), the synergistic effect of AD-MSCs with tacrolimus in autologous nerve tissue transplantation was found to be more effective than the use of allograft in sciatic nerve transplantation. Although this study examined the myelination ability by AD-MSCs, the absence of investigation into neurotrophic function makes analysis difficult. In a subsequent study, Yao et al. (2021) reported that the combination of AD-MSCs with tacrolimus resulted in significant improvements in PNI. This synergistic effect not only increased the neuron length from 120 to 200 μm compared to using a single method, but also significantly enhanced the secretion of neurotrophic factors. The qRT-PCR results showed that the combined effect of AD-MSCs with tacrolimus significantly increased the expression of BDNF, glial-derived growth factor (GDNF), and NGF genes, particularly at concentrations ranging from 1 to 10 ng/mL. Additionally, in animal models, the synergism of AD-MSCs and tacrolimus led to improvements in the SFI (−74.62 to −41.66), nerve conduction velocity, muscle mobility, and muscle fiber area (Figure 3B). There was also a positive effect on the diameter of nerve fibers, which increased from 2.4 to 4 µm. Overall, despite the relative success of neuropathy treatment through synergistic effects, numerous concerns remain regarding MSCs migration, cell or drug dosage, tumor safety, response degree, MSC distribution, transplant rejection, potential of patient-derived MSCs, and lack of clarity in anti-inflammatory and regenerative mechanisms.
3.2 Synergistic effect of MSCs and derivatives of nerve cells in PNI repair
Regeneration after PNI typically requires the activation of neural stem or progenitor cells from the niche. However, obstacles like low cell viability and inadequate proliferation hinder full repair of peripheral nerves. MSCs offer a promising solution for enhancing regenerative processes thanks to their capacity to differentiate into neurons, regulate the immune system, and stimulate growth and proliferation through paracrine secretion. Despite the various functions of MSCs, two approaches are favored to examine relationships between MSCs and neural progenitor cells: (1) cell-cell contact and (2) effect of vesicular secretions.
3.2.1 Cell-cell contact
While the use of MSCs presents challenges such as its distribution to non-target tissues, their direct use is appealing because of their ability to modulate the immune system, secrete neurotrophic factors, and alter neuronal phenotypes. For instance, Marconi et al. (2012) modulated the immune system and enhanced sciatic nerve regeneration by systemically injecting AD-MSCs in combination with Schwann cells. AD-MSCs raised GDNF and IGF-I levels, sustained BDNF levels, and enhanced Schwann cell survival, proliferation, and differentiation. AD-MSCs also improved the regeneration of crushed sciatic nerves by encouraging nerve fiber sprouting and increasing the number of nerve fibers by about 40%, as indicated by higher levels of GAP-43 (a marker of axonal regeneration). Furthermore, there was an increase in fiber length and a notable reduction in the number of monocytes, macrophages, and CD3 lymphocytes, all of which aid in axonal regeneration. AD-MSCs injection significantly improved SFI, plantar flexion, and toe extension compared to control mice after 21 days (Marconi et al., 2012). However, the systemic administration of AD-MSCs has been challenging due to their high concentrations in lymphoid organs and limited presence in inflamed PNIs. Zheng et al. (2018) demonstrated that co-administration of BM-MSCs and Schwann cells led to significant improvements in the SFI, number of innervated axons, G ratio, myelination, and number of Schwann cells in the sciatic nerve (Figure 4A). They also observed that inducible BM-MSCs (iBM-MSCs) generated in neural medium containing inactive Schwann cells reactivated Schwann cells after injury. This reactivation by iBM-MSCs resulted in a more pronounced increase in SFI, axon number, G ratio, and myelination rate compared to the control. Additionally, the increased secretion of neurotrophic factors such as BDNF, NGF, and nortrophin-3, and the enhancement of NCAM and N-cadherin by iBM-MSCs (Figure 4A) improved the sciatic nerve regeneration rate and enhanced cell adhesion (Zheng et al., 2018). In another study, it was found that increasing the secretion of BDNF and NGF, along with PC12-TrkB using lentivirus-engineered BM-MSCs, induced significant neurite outgrowth in each neuron (Uz et al., 2020).
FIGURE 4

(A): (A) The ultrastructure of native denervated Schwann cells observed in the different groups. (B) Neuron-induced (NI) bone marrow-mesenchymal stem cells (BM-MSCs) promoted proliferation of native Schwann cell based on S100β (green) staining (scale bar: 200 µm). (C) Functional recovery of the sciatic nerve. *p < 0.05, vs. PBS group; #p < 0.05, vs. BM-MSCs group. (D) The expression of NCAM and N-cadherin in Schwann cells increased significantly after they were co-cultured for 48 h (E, F) Increased Myelin basic protein (MBP) and NF-H Antibody (NF)-200 in co-cultures stained for axonal regeneration and myelination (scale bar: 200 µm). Reprinted with permission from ref. (Zheng et al., 2018). (B): (A) Schematic view of the generation and analysis of exosomes. (B) Diameter of the regenerated nerves of the rats in groups (**p < 0.01). (C) Top: Representative TEM images of sciatic nerves in rats, and Bottom: observation of hind limb gastrocnemius muscle in rats. (D) Footprints of rats in each group at weeks one and six post-surgery and sciatic function index (SFI) values of the rats in groups. Reprinted with permission from ref. (
3.2.2 Vesicular secretions
Despite issues such as non-target distribution of MSCs, tumorigenicity, and so on, the incomplete penetration of MSCs to neural tissues due to epineurium–endoneurium blockage poses challenges to systemic injection. Therefore, utilizing MSC-secreted vesicles containing various compounds in cooperation with neurons is an appealing alternative. In a study by Mao et al. (2019), the development of sciatic nerve axons and myelination was stimulated through the synergistic effect of G-MSC-derived vesicles (103.8 nm), as confirmed by increased tubulin-3, protein expression of GFAP and EGR2/KROX-20, and improved neuromuscular junction (NMJ). Furthermore, enhancements in gastrocnemius muscle weight, SFI, paw expansion, and footprint validated the synergistic impact of G-MSC-derived vesicles in sciatic nerve regeneration. This data suggests a comparable synergistic function between G-MSC-derived vesicles with neural progenitor cells, similar to direct injection of G-MSCs (Mao et al., 2019). In the next study, the authors found that the synergy of G-MSC-derived exosomes (102 nm) and chitin-based conduits increased the proliferation of Schwann cells and dorsal root ganglion (DRGs) in 10 mm sciatic nerve defects (Rao et al., 2019). In fact, the synergistic effect of exosomes and chitin-based conduits doubled the axon length, nerve fiber number and diameter, and myelin membrane size over 12 weeks. This improvement in the gastrocnemius muscle, muscle structure, and sensory-motor indicators highlights positive synergistic effects (Rao et al., 2019). Contrary to these results,
Ma et al. (2019) enhanced sciatic nerve regeneration by decreasing inflammation through the collaboration of human UC-MSCs-derived vesicles in the 80–650 nm range with Schwann cells. They found that the vesicles have a crucial role in facilitating neuronal regeneration in the distal nerve stump by reducing pro-inflammatory cytokines (IL-6 and IL-1β) and increasing the expression of the anti-inflammatory cytokine IL-10. The beneficial effects of this synergy were validated by enhanced myelination (based on S-100 and NF-200 markers), strengthened gastrocnemius muscle, increased axon count, and improved movement patterns in mice (Ma et al., 2019). These findings have clearly demonstrated the therapeutic potential of injured Schwann cells induced by UC-MSCs vesicles. The synergistic effects of human UC-MSC-derived exosomes with olfactory ensheathing cells (OECs) tripled the number of OECs in the hypoxic environment of injured sciatic nerves, raising hopes for therapy (Zhang Y. et al., 2020). Zhang et al. (2020b) showed that the released exosomes effectively regulated the migration of OECs in a hypoxic environment and enhanced cell proliferation and differentiation by increasing gene expression of BDNF and other neurotrophic factors. In the rat model, the use of human UC-MSC-derived exosomes led to an optimal distribution of Schwann cells, improved axon regeneration, increased SFI, and nerve conduction velocity.
3.3 Synergistic effect of MSCs and conduits in PNI repair
3.3.1 Biological conduits
Several biological pathways, such as arteries, veins, muscles, amniotic membrane, and neural trunks, have been developed and extensively utilized for PN regeneration in a relatively brief timespan. While the utilization of biological pathways, including neural and vascular grafts, has proven to be highly effective, this approach is only successful for short-term regeneration due to the rapid degradation of biological conduits into inert materials (
3.3.1.1 DNTA
Due to limited resources, multiple surgeries, and sensory-motor issues associated with autologous nerve grafting for nerve defects with gaps larger than 10 mm, the use of DNTA is considered a viable alternative. DNTA can facilitate the regeneration process by providing internal structural and extracellular matrix components (
A common hypothesis about the role of MSCs in the PN regeneration process is that they do not convert into neurons, but rather enhance paracrine secretions to optimize the environment. Rbia et al. (2019a) reported that the synergistic effect of AD-MSCs and DNTA improved nerve fiber number, angiogenesis, and myelination through a significant increase in neurotrophic factors (BDNF, PTN, GAP43), angiogenic agents (VEGF, PECAM), and myelination factors (MBP, MPZ, PMP22). These molecular changes indicate a positive potential for the synergy between MSCs and DNTA in PN regeneration. Another study showed that the paracrine secretions of Schwann-like cells arising from AD-MSCs are similar to that of AD-MSCs in terms of synergistic activity with DNTA (Mathot et al., 2020b). The profiles and secretion rates of neurotrophic factors (NGF, GDNF, GAP-43), cell cycle regulator (CCNB2), and angiogenic agent (VEGF1) in differentiated AD-MSCs and AD-MSCs were different during the first 14 days, but the secretion levels after 21 days were not different. In confirmation of this finding, the study by Mathot et al. (2020a) showed that the synergism of DNTA with Schwann-like cells differentiated from AD-MSCs increased sciatic nerve angiogenesis from 29.2% to 38.9% (Figure 5A). Nonetheless, the ultimate vascular volume of both groups remained unchanged.
FIGURE 5

(A): (A) Confirmation of adipose-mesenchymal stem cells (AD-MSCs) differentiation by expression of Schwann cell markers S100, GFAP, and NTR p75. (B) The vascular volume outcomes of different groups with undifferentiated AD-MSCs and differentiated AD-MSCs. (C) The obtained micro-CT scans that served for the volume measurements of normal veins in nerves. Reprinted with permission from ref. (Mathot et al., 2020a). (B): (A) Undifferentiated bone marrow (BM)-MSCs displayed a flat fibroblast-like morphology with a spindle shape. (B) After induction, the differentiated BM-MSCs finally changed into star shaped-cells (black arrows) with elongated processes (white arrows). (C–F) Differentiated MSCs expressed the Schwann cell surface markers S100b, GFAP, nestin, and p75NGF receptor, respectively. The insert exhibits that the undifferentiated BM-MSCs were negative for Schwann cell markers. Down plots: Hematoxylin and eosin and SEM analysis of muscle stuffed vein-based conduits at 2, 4, and 8 weeks post implantation. Seeded cells were producing new matrix (white arrows). Matured cells within a dense homogenous matrix (black arrows). Reprinted with permission from ref. (
3.3.1.2 DBV
DBV-based conduits, whether arterial or venous, are receiving more attention than DNTA-based conduits due to their higher durability, slower degradation, lower cost, and higher flexibility. The integration of macro-, micro-, and nano-structures into DBV ducts and their capacity to interact with the extracellular matrix, prevent luminal collapse, reduce neuromas, and minimize potential scarring, have unexpectedly made the use of DBV-based conduits advantageous (
In confirmation of the above findings, the synergistic effect of AD-MSCs (1 × 104) and DBV did not impact myelin thickness or G ratio, despite improving the lag time and increasing the diameter of myelinated nerve fibers (Sun et al., 2011a). While the synergistic impact on neural tissue regeneration is significant, the lack of attention to the fate of AD-MSCs and their conversion efficiency into neuron-like cells hinders detailed analysis. Although the differentiation of BM-MSCs into neuron-like cells led to an increase in GFAP (up to 75%), S100β (up to 45%), nestin (up to 35%) and NGF (up to 30%) markers (
3.3.2 Polymer-based conduits
The excellent performance of polymer-based conduits in peripheral nerve regeneration, achieved through micro- and nano-structures and the ability to transport active molecules or drugs, has led to their widespread use (Pinho et al., 2016). Polymer-based conduits are particularly attractive for therapeutic interventions in peripheral nerves due to their high efficiency in 1–2 cm gaps, abundant availability, long-term stability due to physicochemical properties, ease of preparation, and low cost (
3.3.2.1 Natural Polymers
Despite the potential toxicity of by-products from the degradation of natural polymers, the advanced control of inflammation by MSCs will make the use of these materials less problematic. In this context,
FIGURE 6

(A): (A) Compound muscle action potential recordings of the vibrissal muscles of rats in empty nerve guide conduits (eNGC), nerve autografts (AG), or NGC laden with gingiva-mesenchymal stem cells (G-MSCs) (*p < 0.05). (B) Motor nerve conduction velocity of rats. (C) Transmission electron microscopy of ultrathin sections of the newly regenerated facial nerve. (D) Quantification of the density of myelinated axons (the number of myelinated axons/1,000 μm2) (ns: non-significant and **p < 0.01). Reprinted with permission from ref. (Zhang Q. et al., 2021). (B): (A) Survival assay of bone marrow (BM)-MSCs encapsulated in GelMA (Gelatin Methacrylate) hydrogels. (B) Immunoblotted image for PIEZO2, PIEZO1, YAP/TAZ, p-YAP, GFAP, NGF, S100b in BM-MSCs plated on GelMA after co-culture with NE-4C. (C) Hematoxylin and eosin staining of sciatic nerves (double-headed arrows: the regenerated nerves; yellow arrows: the proximal end; blue arrows: the distal end; black arrows: the residual stitch; red arrows: the renascent nerve fibers; green arrow: enlargement site of the regenerated nerve). Reprinted with permission from ref. (
3.3.2.2 Synthetic Polymers
The impurity, unclear connections and anchor points, and relatively weak mechanical properties of natural polymers have led researchers to consider synthetic polymers (
3.4 Synergistic effect of MSCs and NPs in PNI repair
3.4.1 Organic NPs
During nerve regeneration, organic NPs such as micelles, liposomes, vesicles, dendrimers, nanofibers, and carbon nanomaterials are increasingly used. The synergism of MSCs with vesicles, nanofibers, and carbon nanomaterials has garnered the most attention for PN regeneration. Exosomes, which are nanometer-sized vesicles, play crucial roles in cell-cell interactions (Zheng et al., 2020). The secretion of exosomes from Schwann cells during nerve injury and their impact on neural tissue regeneration suggests the potential of exosomes in the differentiation of MSCs into neuron-like cells (Yu et al., 2021). Wang et al. (2020) showed that the combined effect of BM-MSCs with 50–80 nm exosomes from RSC96 altered the shape of BM-MSCs from spherical to spindle-shaped. Cell differentiation was confirmed by an increase in nerve fiber length-to-width ratio and elevated expression of Schwann cell-specific markers including genes encoding S100, GFAP, Sox10, NGFR, and EGR2 (Wang et al., 2020). Likewise, after extracting 127.5 ± 2.1 nm exosomes from RSC96, the synergistic effect of AD-MSCs with RSC96 exosomes not only altered cell morphology, but also enhanced the expression of S100β, NGFR, MPZ, and GFAP markers in differentiated cells (Zhou et al., 2022). RSC96 exosomes control the differentiation of AD-MSCs into Schwann cells via the PIK3CD and p-Akt pathways. However, the mechanism of MSC differentiation through Schwann cell-derived exosomes remains unclear and requires further investigation.
Carbon nanomaterials are being considered for nerve repair due to their high electrical conductivity, nano-topological properties, mechanical strength, and flexibility. Combining MSCs with carbon nanomaterials significantly reduced the inflammatory effects of carbon, making them widely usable. After reducing the collagen hydrogel’s electrical resistance by CNTs (30 nm in diameter and hundreds of nanometers in length),
FIGURE 7

(A): (A) Green fluorescent protein-bone marrow-mesenchymal stem cells (GFP-BM-MSCs) induced on aligned (A) and random (R) nanofibers with quantitation of GFAP and S100 protein levels. (B) Demonstration of neurite outgrowth from dorsal root ganglion (DRG) with induced BM-MSCs co-culture on nanofibers. (C, D) Quantitative analysis of the amplitude and myelination rate of axons in AG (autograft), PC-AC (Polycaprolactone containing BM-MSCs graft) and PC (Polycaprolactone conduit) (ns: non-significant and *p < 0.05). (E) A view of the gastrocnemius muscle in rats. Reprinted with permission from ref (
3.4.2 Inorganic NPs
Although many inorganic NPs have been created for regenerative purposes, only a small number have been used for peripheral nerve regeneration. Generally used NPs for detecting and repairing peripheral nerves are metal and alloy NPs, silica nanostructures, and magnetic NPs. To our knowledge, iron oxide (IO) and gold (Au) NPs are commonly used in synergy with MSCs.
Due to the lower toxicity and higher electrical conductivity of AuNPs compared to IONPs, there is interest in using AuNPs for PN regeneration. In a rat model of transected sciatic nerves, the synergistic effect of BM-MSCs (1 × 107) with PCL-based conduits containing 1% polydopamine-coated AuNPs (15 mm) increased the expression of S100, nestin, NF-200, and Tuj1 neurofilaments 200 as axonal specific markers (Qian et al., 2018). This result demonstrates that the synergistic effect of BM-MSCs and polydopamine-AuNPs/PCLs-conduits has a positive impact on cell growth and differentiation. Additionally, the presence of AuNPs within the conduits increased the size of the F-actin cytoskeleton and cell adhesion. In polydopamine-AuNP/PCL-based conduits, BM-MSCs and Schwann cells showed increased spindle-shape structure and provided more axons. The improved SFI, muscle function potential, number of myelinated axons, and thickness of myelin sheaths, nerve conduction velocity, and angiogenesis over 18 weeks indicate a beneficial synergistic effect in PN regeneration.
3.5 Synergistic effect of MSCs and electrical stimulation in PNI repair
Research has indicated that the electrical stimulation of peripheral nerves, particularly at low frequencies, results in enhanced nerve regeneration and improved function, irrespective of the length of axonal damage and the slowness of their growth (Zuo et al., 2020). While the synergistic effect of electrical stimulation with MSCs has shown promise in animal studies for nerve regeneration (
4 Clinical application
Since the first clinical studies on the use of MSCs in hematological malignancies in 1995, research has been conducted on the use of MSCs for treating or regenerating various diseases (
TABLE 3
| Subject under investigation | Conditions | Interventions | NCT number |
|---|---|---|---|
| Safety and efficacy of autologous Schwann cell augmentation in severe peripheral nerve injury | Peripheral nerve injury | Biological: Autologous human Schwann cell | NCT05541250 |
| Safety of cultured allogeneic UC-MSCs for trigeminal neuralgia and peripheral neuropathy | Peripheral neuropathy Trigeminal neuralgia | Biological: AlloRx | NCT05152368 |
| Human amniotic membrane and MSCs composite | Brachial plexus neuropathies | Procedure: Nerve transfer procedure Procedure: Nerve transfer with AD-MSCs composite wrapping | NCT04654286 |
| A novel synthetic polymer nerve conduit ‘polynerve’ in participants with sensory digital nerve injury | Injury of nerves at wrist and hand level | Device: Polynerve | NCT02970864 |
| Nerve repair using hydrophilic polymers to promote immediate fusion of severed axons and swift return of function | Peripheral nerve injury | Drug: Polyethylene glycol | NCT02359825 |
| Mid-term effect observation of biodegradable conduit small gap tublization repairing peripheral nerve injury | Peripheral nerve injury | Other: Degradable conduit small gap tublization | NCT03359330 |
| Reconstruction of digital nerve lesions with muscle-in-vein conduits | Peripheral nerve injury upper limb | Other: Nerve reconstruction | NCT04788030 |
| A comparative post-marketing study of commercially available peripheral nerve gap repair options | Traumatic nerve injury | Device: Hollow tube nerve conduits, synthetic or biosynthetic | NCT00948025 |
| Promoting healing of injured nerves with electrical stimulation therapy | Peripheral nerve injury Peripheral nerve injury upper limb | Device: Checkpoint BEST System | NCT05884125 |
| Electrical stimulation to enhance peripheral nerve regeneration | Peripheral nerve injury | Procedure: Post-surgical electrical stimulation | NCT02403661 |
| The effect of pre-operative electrical stimulation on peripheral nerve regeneration. | Peripheral nerve injury Sensory deficit Digital nerve lesion | Procedure: Electrical stimulation Procedure: Sham stimulation | NCT03205124 |
| Registry of Avance® Nerve Graft’s utilization and recovery outcomes post peripheral nerve reconstruction | Peripheral nerve injury | Other: Processed human nerve graft Other: Standard treatment, autogenous nerve graft, direct sutureetc. | NCT01526681 |
| Tesamorelin to improve functional outcomes after peripheral nerve injury | Peripheral nerve injury | Drug: Tesamorelin 2 Milligrams Drug: Placebo | NCT03150511 |
Summary of clinical application of different therapeutic approaches in PN regeneration.
5 Challenges and future perspectives
Studies have shown promising results using MSCs to regenerate peripheral nerves in synergy with therapeutic techniques such as drug therapy, cell therapy, and electrical stimulation (Zuo et al., 2020; Supra et al., 2023; Sharifi et al., 2024). However, technical challenges make it difficult to implement synergistic approaches. Many MSC-based regenerative products are not FDA-approved, making it difficult to transition MSCs from the laboratory to clinical use. The biggest challenges are:
Standardization: Despite the effectiveness of regeneration methods in research, there is no specific standard for the type and number of MSCs, cell cycle state, culture media, transfer time to damaged site, and minimum time required to regenerate peripheral nerve functions (
Evaluation index: While metrics for evaluating neural tissue like morphology, structure, and sensory-motor function are valid, they cannot definitively determine the impact of MSCs on neural tissue regeneration (
Pathological events: Although MSCs have demonstrated significant therapeutic potential in regenerative processes, the issue of whether MSCs can contribute to tumorigenesis, fibrosis, and acute inflammation remains unanswered (
Analytical models: One of the major challenges in medical research is the critical incompatibility between in vitro, animal, and human models (Sharifi et al., 2022a). Studies on the protective and regenerative potential of MSCs in vitro are generally uncertain. They do not replicate in vivo biological interactions such as cell migration, adhesion, proliferation, growth, differentiation, and their associated secretions. Additionally, differences in immune systems, regeneration rates, and expansion of damaged tissue between animal models and humans can bias results (Ribitsch et al., 2020). Focusing on large animals and using new techniques such as tissue printing and lab-on-a-chip with human cells could help solve this problem.
Commercialization: MSCs are typically cultured in flasks and specific quantities for research. However, large-scale industrial production makes it challenging to control MSCs quality, leading to non-targeted mutations (
6 Conclusion
Apart from the gold standard of the autologous graft, a reliable strategy has not yet been established despite the existence of various treatment methods such as allograft transplantation, drug therapy, cell therapy, and electrical stimulation. The PN regenerative process is inherently dynamic and requires more flexible treatments to be multifunctional and controllable. Among various approaches, the synergistic effect of MSCs with macro, micro, and nano strategies to control inflammation and provide neural progenitor cells is surprising. MSCs effectively control inflammation, recruit nerve progenitor cells, promote neuronal proliferation and growth through the secretion of neurotrophic factors, and differentiate into Schwann-like cells. Treatment strategies depend on the type and severity of the injury. The results show that synergizing MSCs with biological and pharmaceutical compounds is commonly used for diabetic neurological disorders or chemotherapy-induced damage. Repairing PNI with moderate to large gaps is typically done through the combination of MSCs with biological and polymeric conduits. However, non-invasive treatment may use synergistic effect of electrical stimulation with the injection of MSCs or their exosomes, particularly for the reconstruction of PNIs with gaps less than 4 mm. However, its clinical use is limited due to uncertainties in the following challenges: achieving ideal conversion of MSCs into Schwann-like cells accompanied with neural function, dedifferentiation of MSC-derived nerve cells, preventing tumorigenesis, ensuring the stability of MSCs in the damaged site, and avoiding immune responses. Another important issue with synergistic approaches is the lack of consistent and reproducible results that can be related to MSCs source, technique, and type of injury. Despite the aforementioned challenges, experimental evidence indicates that the combination of MSCs and therapeutics can enhance neural regeneration. However, additional research is necessary to translate therapeutic potential into treatment gains for clinical use.
Statements
Author contributions
MSh: Conceptualization, Investigation, Validation, Visualization, Writing–original draft. MK-F: Conceptualization, Project administration, Resources, Supervision, Writing–original draft. MSa: Investigation, Resources, Writing–review and editing. SE-B: Methodology, Supervision, Validation, Writing–review and editing. MA: Methodology, Resources, Software, Writing–review and editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The present study was supported by Shahroud University of Medical Sciences, Shahroud, Iran as a Ph.D. thesis (Grant number: 200159). This research was carried out with the ethical code of IR.SHMU.AEC.1402.008.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Abbreviations
AD-MSCs: Adipose-derived mesenchymal stem cells, AM-MSCs: Amniotic-derived mesenchymal stem cells, BDNF: Brain derived neurotrophic factor, BM-MSCs: Bone marrow-derived mesenchymal stem cells, CNTs: Carbon nanotubes, DBV: Decellularized blood vessels, DNTA: Decellularized nerve trunk of allografts, DRG: Dorsal root ganglion, GAP-46: Growth-associated protein 46, GelMA: gelatin methacrylate, GDNF: Glial-derived neurotrophic factor, GFAP: Glial fibrillary acidic protein, G-MSC: Gingiva-derived mesenchymal stem cells, H&E: hematoxylin and eosin, IGF-I: Insulin-like growth Factor-I, IL: Interleukin, MBP: myelin basic protein, MSCs: Mesenchymal stem cells, NCC: Neural crest cell, NF: Neurofilament, NF-κB: Nuclear factor kappa B, NGF: nerve growth factor, NPs: Nanoparticles, OE-MSCs: Olfactory ecto-derived mesenchymal stem cells, PCL: Polycaprolactone, PNI: Peripheral nerve injury, PPy: Polypyrrole, PVA: Polyvinyl alcohol, SFI: Sciatic function index, TNF-α: Tumor necrosis factor-alpha, UC-MSCs: Umbilical cord-derived mesenchymal stem cells, VEGF: Vascular Endothelial Cell Growth Factor.
SMARTQ
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Summary
Keywords
MSCs, peripheral nerve, Neuroprotection, neuroregeneration, nanostructures
Citation
Sharifi M, Kamalabadi-Farahani M, Salehi M, Ebrahimi-Brough S and Alizadeh M (2024) Recent perspectives on the synergy of mesenchymal stem cells with micro/nano strategies in peripheral nerve regeneration-a review. Front. Bioeng. Biotechnol. 12:1401512. doi: 10.3389/fbioe.2024.1401512
Received
15 March 2024
Accepted
19 June 2024
Published
10 July 2024
Volume
12 - 2024
Edited by
Giulia Suarato, National Research Council (CNR), Italy
Reviewed by
Óscar Darío García García, University of Granada, Spain
Dalila Miele, University of Southern California, Los Angeles, United States
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© 2024 Sharifi, Kamalabadi-Farahani, Salehi, Ebrahimi-Brough and Alizadeh.
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*Correspondence: Majid Sharifi, sharifi@shmu.ac.ir; Mohammad Kamalabadi-Farahani, kamalabadi@shmu.ac.ir; Somayeh Ebrahimi-Brough, ebrahimi_s@sina.tums.ac.ir
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