REVIEW article

Front. Bioeng. Biotechnol., 10 July 2024

Sec. Tissue Engineering and Regenerative Medicine

Volume 12 - 2024 | https://doi.org/10.3389/fbioe.2024.1401512

Recent perspectives on the synergy of mesenchymal stem cells with micro/nano strategies in peripheral nerve regeneration-a review

  • MS

    Majid Sharifi 1,2,3*

  • MK

    Mohammad Kamalabadi-Farahani 2,3*

  • MS

    Majid Salehi 2,3,4

  • SE

    Somayeh Ebrahimi-Brough 5*

  • MA

    Morteza Alizadeh 6

  • 1. Student Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran

  • 2. Tissue Engineering and Stem Cells Research Center, Shahroud University of Medical Sciences, Shahroud, Iran

  • 3. Department of Tissue Engineering, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran

  • 4. Health Technology Incubator Center, Shahroud University of Medical Sciences, Shahroud, Iran

  • 5. Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

  • 6. Department of Tissue Engineering and Biomaterials, School of Advanced Medical Sciences and Technologies, Hamadan University of Medical Sciences, Hamadan, Iran

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 strategyBenefitsDrawbacks
ChemotherapyDifferent treatment routes, high drug diversity, high synergy with other therapeutic approaches, simultaneous use of different drug compounds, simple therapeutic management, relatively low costLow 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 therapyImproves the regeneration environment with programmable secretions, ability to control immunogenesis, ability to synchronize therapeutic perspectives, optimal therapeutic efficiency compared with chemotherapy, low neuropathy, low invasivenessTumorigenesis 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
GraftsAutograftAccelerates regeneration, no immunogenicity, providing neurotrophic factors, easy access, no graft rejection, easy suturing, rapid inflammation reductionResource limitations, multiple surgeries, donor site challenges such as trauma, infection and tissue inefficiency, prolonged treatment, neuroma formation, different tissue size
AllograftReduces surgical time and improved recovery time, useful in large nerve damage, access higher than autograftAcceleration of immunogenicity, virus, or bacteria transmission, neuro-structural changes during processing, relative decrease in neurological function, resource limitations, ethical concerns, need for suppressors
ConduitsBiologicalImproves neural structure, strong cell bonding, reservoir of neurotrophic factors, biodegradable, nerve buds’ guidance, enhanced angiogenesis, low inflammationDiverse neural responses, long manufacturing process, more limited access, in some cases immunological challenges
NaturalProvides cell adhesion agents, biodegradable, significant control of fibrosis, control of cell migration, semi-porous, relatively cheap, improves angiogenesis in some casesLow Young`s modulus, variable mechanical properties, asymmetric degradability, limited resources, high inflammatory reactivity, high decomposition at pH < 7, heterogenous structure
SyntheticControllable and reproducible physicochemical structures, high mechanical features, high porosity and permeability, cell migration enhancement, simple processing, low costLow cell adhesion, toxicity byproducts, low bioactivity, low biocompatibility, risk of nerve compression during repair, ischemia of adjacent tissues, reduced angiogenesis, poor repeatability in production
NanoparticlesInorganicRegulates cell migration, induces physicochemical signals, antibacterial, increases electrical conductivity, guiding the growth of neurites and axons, biocompatibleHigh toxicity due to agglomeration or release of active ions, long-term stability in damaged tissue, impurities in some alloys, immunogenicity, non-bioactivity
OrganicHigh biocompatibility, high cellular attachment, bioactivity, good availability, low cost, inducing cell differentiation, biodegradable, limited immunogenicityImpurities 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
ExosomesLow immunogenicity, highly targeted, enhanced neurogenesis by inducing biological agents, easy maintenance, few side effects, biocompatibilityLack 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
SourceExtractionDrawbacksMarkersDifferentiation capabilitiesRef.
Bone marrow-MSCsTubular, iliac crest, femur, tibiaWashing the bone marrow, separating the cells by centrifugation, and removing non-adherent cells in the culture mediumExtracting 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 donorCD29+, CD44+, CD73+, CD90+, CD105+, Sca-1+, CD14, CD34, CD45, CD19, CD11b, CD31, CD86Adipocytes, Astrocytes, Cardiomyocytes, Chondrocytes, Hepatocytes, Mesangial cells, Muscle cells, Neurons, Osteoblasts, Stromal cellsSharifi et al. (2022c)
Adipose-MSCsSubcutaneous adipose, buttocks, and abdominal zoneDigesting the fragmented tissue with type I collagenase and centrifuging them, then culturing the cells to remove non-adherent cellsDespite 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 tissuesCD29+, CD34+, CD44+, CD73+, CD90+, CD105+, CD146+, CD166+, MHC-I+, CD31, CD45, CD117, HLA-DRAdipocytes, Chondrocytes, Osteocytes, Muscle cellsMinteer et al. (2013),Zack-Williams et al. (2015)
Birth derived-MSCsUmbilical 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 significantCD29+, CD44+, CD73+, CD90+, CD105+, CD166+, CD14, CD31, CD34, CD45, CD106, HLA-DRUCB-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-MSCsSkeletal muscle tissueEnzymatic 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 surfaceThe cell harvesting approach is invasive and sometimes associated with the induction of infectionCD29+, CD44+, CD73+, CD90+, CD105+, CD14, CD19, CD34, CD45, HLA-DRBone cells, Adipocytes, Chondrocytes, Muscle cells, Neural cells, Hepatocytes, Blood cellsMusavi et al. (2018)
Skin-MSCsForeskin and skin biopsiesDissection of cultured skin sample in DMEM to purify the cells attached to the bottom of the flaskCollecting samples by invasive methods, increasing the possibility of infection after specimen collectionCD44+, CD73+, CD90+, CD105+, CD166+, SSEA-4+, Vimentin+, CD34, CD45, HLA-DR-Chondral cells, Bone cells, Adipocytes, Neural cells, Glial cells, Pancreatic cells, Smooth muscle cellsPark et al. (2012),Orciani and Di Primio (2013)
Dental pulp-MSCsWisdom teeth, ectopic or even decayed teeth or root canal surgeryDrain the pulp cavity with PBS and culture in DMEM-F12 to remove non-adherent cellsDespite 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 lineageCD29+, CD44+, CD90+, CD105+, CD14, CD34, CD45Odontoblasts, Osteoblasts, Adipocytes, Chondrocytes, Neurogenic cells, Myogenic cellsPisciotta 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

). (B): (A) Histological evaluation of regenerated nerves at 3 weeks after cell transplantation. (B) Representative oscillograms of each group at 3-week post-surgery. (C) The immunofluorescence photographs of the myelinated nerve fibers and the regenerated axons. Myelin basic protein (MBP) and NF-H Antibody (NF)-200 positive axons were stained with red and green fluorescence. Reprinted with permission from ref. (Yao et al., 2021).

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 , it was demonstrated that the combined effect of BM-MSCs and fluoxetine enhanced BDNF, VEGF, and IL-10 in a model of diabetic neuropathy induced by streptozocin, particularly at concentrations above 2 μM of fluoxetine. The researchers observed an increase in paracrine secretion and a significant reduction in the effects of neuropathy. The positive impact of the synergy between BM-MSCs and fluoxetine on neuropathy treatment is further supported by the improved structure of the sciatic nerve, including increased perineurium thickness with collagen, enhanced vascularity, absence of neurogenic edema, improved myelination, and the falciform nucleus of Schwann cells ().

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

).

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, demonstrated that co-administration of AD-MSCs with neurons in a damaged environment enhanced the regeneration process compared to AD-MSC-derived exosomes alone. This was achieved through an increase in the number of nerve branches per neuron (∼115 vs. ∼17) and an increase in the length of neurites per neuron (∼117.4 vs. ∼72.9 µm) (). Variations in the content of exosomes, especially neurotrophic factors, and secretion levels are likely the main factors contributing to these differences. For instance, exosomes (∼141 nm) from inducible AD-MSCs (iAD-MSCs) produced in neural medium exhibited a stronger combined impact with Schwann cells in comparison to AD-MSCs for neural repair (Liu et al., 2022). The introduction of iAD-MSC-derived exosomes containing miRNA-22-3p into neurospheres inhibited phosphatase and tensin expression and AKT/mTOR activation, resulting in Schwann cell proliferation and migration as well as longitudinal axon growth. Additionally, in contrast to AD-MSC-derived exosomes, iAD-MSC-derived exosomes demonstrated notably reduced TNF, IL-6, IL-1B, NF-κB, and NO2 levels, thereby aiding the repair process through inflammation reduction (Liu et al., 2022). Also, Schwann cell-like cell-derived (SCLC) exosomes (30–150 nm) differentiated from amniotic-derived MSCs (AM-MSCs) exhibited increased expression of GDNF, NGF, MBP, SOX10, and Oct-6 genes compared to AM-MSC-derived exosomes (). Consequently, this led to a higher density of myelinated nerve fibers, thicker myelin membrane, and increased weight of the gastrocnemius muscle in the injured sciatic nerve (Figure 4B).

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 (). Furthermore, the constraints of allograft systems have prompted a shift in focus towards the utilization of allograft systems, despite the inflammation linked to graft rejection.

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 (). Conflicting results are generally attributed to incomplete decellularization, cell type loading, and decellularization solvents. In a rat model of sciatic nerve transection (10–15 mm), Zhao et al. (2011) and Wang et al. (2012) showed that the synergistic effect of DNTA with 5 × 105 and 1 × 106 BM-MSCs, respectively, decreased inflammation, increased axon length, and gained triceps weight. Zhao et al. (2011) reported increased myelin thickness and improved SFI, which differed from the results of Wang et al. (2012). Furthermore, it was recognized that there was no significant difference between the synergistic effect of DNTA and BM-MSCs or AD-MSCs in regenerating injured sciatic nerves (Zhao et al., 2011). Despite these successes, there is no guarantee that MSCs will convert into neurons, nor is there conclusive evidence about their efficiency in calling neurons. For example, despite the significant synergistic effect of AD-MSCs with DNTA on increasing the number of neurons in the transected sciatic nerve (10 mm), the survival rate of AD-MSCs gradually decreased at the second week, based on the decrease in bioluminescence signal from 6.28 × 104 to 3.73 × 104 (Rbia et al., 2019b). Additionally, the absence of migration of AD-MSCs into adjacent tissues and their removal at day 29 indicates the instability of MSCs in the long-term process of sciatic nerve regeneration (Rbia et al., 2019b).

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

).

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 this regard, Liao et al. (2013) discovered that while the pain reflexes and sensory-motor patterns of mice in the DNTA and DBV groups were similar, the DBV’s structure with more elastic fibers prevents faster conduit collapse during long-term repairs. In a study by Sun et al. (2011b), the synergistic effect of AD-MSCs with DBV improved unilateral vibrissae movement and nerve fiber number after 8 weeks compared to using either method alone. Although superior axonal growth and improved innervation were observed, the synergistic effect of AD-MSCs with DBV had no significant effect on myelin membrane thickness compared to either method used individually (Sun et al., 2011b).

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 (), the precise reason for the high differentiation efficiency of MSCs into stable neuron-like cells remains unclear. Nevertheless, demonstrated that transplanting differentiated BM-MSCs (3.0 × 106) into DBV and then into the injured sciatic nerve resulted in enhanced neuronal proliferation and the formation of new matrix from DBV-based conduits over an 8-week period (Figure 5B). Furthermore, the degradation of DBV-based conduits for neural tube recovery did not cause inflammation in neural tissue (). In the following study, it was reported that the synergism of differentiated BM-MSCs (3.0 × 106) with DBV decreased the autotomy behavior of mice and traumatic neuroma in mice (Ramli et al., 2019). Similar to the previous findings, the G-ratio (0.77 vs. 0.59), fiber diameter (3.09 vs. 2.55), and axon diameter (2.34 vs. 1.39) were not found to have a significant impact (Ramli et al., 2019). It appears that extending the treatment duration from short (<8 weeks) to moderate (8–12 weeks) provides ample time for neural progenitor cells to emerge, effectively reducing the reported abnormalities. Moreover, using allogeneic MSCs instead of xenogeneic MSCs enhances the healing process. For instance, in a transected rat sciatic nerve model, the synergism of murine AD-MSCs (1 × 106) with DBV as an allograft, compared to canine AD-MSCs (1 × 106) as a xenograft, led to improved SFI (−53.58 vs. −86.60), latency (1.75 vs. 3.1 m/s), and amplitude value (9.76 vs. 3.23) (Sanchez et al., 2017). The results indicated that allogeneic AD-MSCs were comparable with the positive control group and superior to other groups. However, the relative superiority of canine AD-MSCs over murine AD-MSCs in fiber density, number, and increased expression of BDNF and S100β was significant (Sanchez et al., 2017).

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 (). The polymer used, whether natural or synthetic, must be non-toxic, non-immunogenic, permeable, flexible, electrically conductive if possible, and capable of degrading into by-products at an appropriate rate. The biological properties of a conduit are influenced by its chemical properties, molecular weight, construction technique, and loading, which should not adversely affect the biological interaction of the conduits with cells (Zhang et al., 2022).

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, studied the synergistic effect of retinoic acid-treated BM-MSCs (0.8 × 106) with a collagen-based conduit, significantly improving sciatic nerve regeneration by increasing neurite length and motor neuron number, without causing inflammation or toxicity. Although the regenerative capacity of BM-MSCs with the collagen-based conduit was lower than that of autologous transplants, the presence of differentiated BM-MSCs within the conduit resulted in more motor neurons and neuron-like cells compared to empty conduits. Despite the success of PN regeneration, the moderate efficiency (51%) of converting BM-MSCs into neuron-like cells based on the expression of 51% GFAP, 47% S100, and 45% NGFR in the regenerative pathway remains a challenge with the number of neuron cells (). To address the challenge of loaded cell number, it is crucial to use conduits with aligned fibers. developed collagen-based conduits with longitudinally aligned fibers and synergized them with differentiated UC-MSCs, without causing inflammation or toxicity. This approach facilitated sciatic nerve regeneration in dogs and enhanced their performance. The improvements in muscle function, reduced latency, and increased gastrocnemius muscle weight demonstrate the remarkable impact of the synergistic effect of UC-MSCs and collagen-based conduits. Further evidence of the synergistic effects were significant increases in fiber diameter, G ratio, and myelin thickness by up to 4-fold, as well as increases in the expression of S100 (50%), NF (30%), and GAP-43 (80%), respectively (). In another study, Zhang Q. et al. (2021) indicated that the synergistic effect of G-MSCs (2 × 106) and collagen-based conduits led to a higher quantity of myelinated axons, enhanced myelin sheath thickness, increased nerve conduction velocity, and improved muscle action potentials, ultimately resulting in more effective PN regeneration (Figure 6A). While the combined use of MSCs and collagen-based conduits has demonstrated positive results in PN regeneration, the rapid degradation and low mechanical strength of collagen make its use challenging. Chitosan has longer stability and higher strength than collagen, making chitosan-based conduits suitable for longer-term treatments with larger gaps. For instance, the synergy between (107) BM-MSCs and a chitosan-based conduit (acetylation level: 95%) was found to yield comparable positive results to autografts in the regeneration of severed sciatic nerves, without causing inflammation or toxicity (Zheng and Cui, 2012). This synergized approach notably enhanced the SFI, fiber density, and fiber diameter after 6 weeks, exceeding the results of individual methods. Extending the treatment period to 12 weeks, Zhu et al. (2015) showed that the synergistic effect of BM-MSCs and chitosan-based conduits enhanced the repair of transected sciatic nerves more effectively than individual approaches, as evidenced by increased SFI (−62.83 vs. −81.67), muscle action potential (∼50.63 vs. ∼38.23 mV), and nerve conduction velocity (∼21.9 vs. ∼19.12 m/s). Morphological parameters also showed improvement, including increased myelin sheath thickness (0.59 ± 0.13 vs. 0.31 ± 0.13 µm), fiber diameter (3.90 ± 0.94 vs. 2.96 ± 1.24 µm), and number of motor neurons (9.11 ± 1.64 vs. 6.67 ± 1.89) (Zhu et al., 2015), indicating a more promising regeneration process compared to the 6-week treatment period. Recently, demonstrated that Olfactory Mucosa-MSCs (1 × 106) synergized with a chitosan-based conduit improved sensory-motor parameters (SF, SS, WR, and kinetics) and morphological characteristics (fiber area, fiber density, myelin thickness, G-ratio, and axon diameter) of the neural tissue in a transected sciatic nerve (15 mm) compared with individual approaches. This improvement was similar to autografts and did not cause adhesion, pain, or neurotmesis.

FIGURE 6

).

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 (). Despite the existence of many different types of synthetic polymers, polycaprolactone (PCL) is the most commonly used synthetic polymer in conduit construction due to its high processability, excellent compatibility, good mechanical, facile processability and acceptable permeability, and topographical properties, and long-term degradability (due to its five hydrophobic–CH2 moieties) (Zhang X. et al., 2020). Hence, employing PCL polymer in lengthy nerve conduits with gaps exceeding 15 mm has become prevalent. The channels should possess ample strength to facilitate the development of regenerated nerves over an extended duration while degrading in vivo at a suitable pace. Nonetheless, given the hydrophobic nature of PCL surfaces, the application of water-compatible coatings is crucial. showed that the synergistic effect of BM-MSCs interacting with PCL-based conduits results in an increase in the quantity of myelinated fibers, the number of neurons in the DRG, and an upregulation of Schwann cell signaling markers (S100 and GFP) compared to individual methods. Substantial increases in BDNF (2-fold), NGF (3-fold), and neurotrophin-4 (2.5-fold) secretions, as well as improvements in the gastrocnemius muscle weight, SFI, and alkaline phosphatase levels within 6 weeks, confirmed the positive effects of BM-MSCs on sciatic nerve regeneration in the PCL-based conduit. Another study found that the combined effect of BM-MSCs and PCL-based conduits increased the number of myelinated fibers and G ratio in neurons with a diameter >0.7 μm, thereby restoring the function of transected S1 nerves within 10 weeks (Oliveira et al., 2014). While there were no significant differences in fiber diameter, axonal diameter, or myelin thickness, the structure of the fascicles improved compared to a single approach, and the synergistic effect enhanced the rat paw’s response (Oliveira et al., 2014). Despite the positive feedback from the above studies, the fate and location of MSCs or progenitor neurons in PCL-based conduits remains uncertain. In this field, discovered that the BM-MSCs nuclei spread over the PCL protrusions and the cell bodies extended into grooves/fibers in polyethylene-based conduits covered with PCL. This approach seems to effectively protect neurons by expanding the available biological surface area and creating a feeder layer. The rise in Schwann cell calling and a 90% increase in survival rate is consistent with these events. Additionally, they discovered that the synergistic effect of BM-MSCs and a conduit led to greater neural tissue thickness, increased neuron count, axonal density, locomotor index (footprint area, maximum step intensity, and swing speed), more organized axons, and re-innervation of the motor plate compared to individual methods (). In another study, alignment of PCL fibers in conduits, instead of random fibers, notably enhanced Schwann cell migration, just as a gradient of BM-MSC-derived neurotrophic factors facilitated migration and development (Sun et al., 2019). Consequently, the synergism of conduits containing aligned fibers with BM-MSCs enhances the migration of neural progenitor cells and the speed of peripheral nerve regeneration. The increased SFI, longitudinal growth of nerve fibers, and proportion of myelinated axons validate the favorable effects of this synergism (Sun et al., 2019). Recently, demonstrated that olfactory ecto-derived MSCs (OE-MSCs) differentiate into Schwann cells more effectively in the 3D space of conduits compared to the 2D space. Additionally, the incorporation of PPy polymer into the PCL lumen promoted the differentiation of OE-MSCs into Schwann cells, as confirmed by the upregulation S100, p75, and MBP markers. While the length of PC12-derived neurons increased in PCL-PPy-based conduits containing OE-MSCs, the synergistic effects did not impact nerve conduction velocity, cell adhesion, proliferation rate, survival, or distribution of cells. Previous studies showed that adding PPy to PVA-based conduits and its synergy with UC-MSCs increased SFI and axonal diameter without affecting cell adhesion or viability (Ribeiro et al., 2015). This indicates that UC-MSCs anti-inflammatory secretions can prevent PPy-induced inflammation. Rodríguez-Sánchez et al. (2021) demonstrated that the synergistic effect of AD-MSCs, in PCL-based conduits, improved SFI and increased myelin fibers and sheaths by promoting the neurotrophic factors BDNF, GDNF, and HGF. MSCs enhance neuronal function within conduits by increasing IL-10 and reducing inflammation (Rodríguez-Sánchez et al., 2021). While MSCs have demonstrated promising results in anti-inflammatory and neuroregeneration-inducing effects, the function of MSC-derived Schwann-like cells remains unclear. In this context, demonstrated that raising the gelatin strength in GelMA-based conduits from 0.3 to 2.9 kPa decreased the migration of BM-MSCs into the environment and facilitated their differentiation into Schwann cells through a synergistic approach (Figure 6B). In fact, it was observed that YAP/TAZ mechanical signaling in the nucleus of BM-MSCs increased with PIEZO1 expression (growth pathways for differentiation), when the conduit strength decreased from five to 0.3 kPa. This finding is consistent with the increased differentiation of BM-MSCs into Schwann-like cells, as indicated by higher levels of S100β and NGF in the strength range from 2.9 to 0.9 kPa (Figure 6B). Meanwhile, prolonged co-culture of BM-MSCs with NE-4C in synergism with GelMA-based conduits featuring aligned fibers induced morphological alterations in BM-MSCs, resulting in a spindle-shaped morphology and elongated protrusions. Enhancements in the SFI, muscle action potential, and thermal response, along with improvements in muscle fiber diameter, vascular density, number of myelinated axons, and axon diameter, collectively indicate the beneficial synergy between BM-MSCs and GelMA-based conduits (). Although Schwann cell-derived BM-MSCs have shown robust success in PN regeneration, recent evidence supports the positive synergistic effect of BM-MSCs-based vesicles with conduits in promoting nerve sprouts formation in PN regeneration (Zhang et al., 2023).

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), found that the synergism of BM-MSCs with CNTs in collagen hydrogel led to elevated levels of the neurotrophic factors GAP-43 (3–4 times), NGF (10–15 times), and BDNF (9–12 times) secreted from BM-MSCs. Additionally, CNTs affected the regeneration process by boosting BM-MSC proliferation and changing cell morphology to an elongated and oriented state. The enhanced performance of BM-MSCs in synergy with CNTs (0.5%–1%) resulted in increased neurite growth, a threefold rise in neurite length, and a 2–3-fold increase in neurite-containing cells (). Ribeiro et al. (2015) demonstrated that the synergistic effect of UC-MSCs with PVA-CNT-based conduits enhanced the SFI, fiber density, number of nerve fibers, myelin membrane thickness, and the percentage of area in the severed sciatic nerve. The synergistic effects of UC-MSCs with PVA-CNT-based conduits reduced muscle weight and muscle fiber area, which is inconsistent with the results for motor parameters and neuronal cell structure. The diminished muscle tissue regeneration in this synergy was attributed to an excessive rise in calcium and magnesium levels, which is the downside of synergy (Ribeiro et al., 2015). Following this, PCL-gelatin-based conduits with amine-functionalized CNT fibers, in comparison to random conduits, not only enhanced the growth of BM-MSCs and DRG cells, but also promoted the differentiation of BM-MSCs into Schwann-like cells, as evidenced by the increase in S100 and GFAP markers (Figure 7A) (). Moreover, regardless of the organization and randomness of the CNT fibers within the conduit, it was shown that the synergistic effect of BM-MSCs with PCL-gelatin-based conduits containing aligned CNTs increased the number of axons, myelination rate, nerve conduction velocity, and muscle action potential (Figure 7A) (). In another study, it was revealed that the synergistic effect of AD-MSCs with poly (p-dioxanone) NYs-based conduits containing CNTs promoted the growth/proliferation of Schwann cells along with the differentiation of AD-MSCs into Schwann-like cells based on S100 and MBP markers (Wu et al., 2022). Furthermore, the increased expression of myelination markers such as S100, NGFR, MBP, and MPZ in Schwann cells, along with the enhanced release of neurotrophic factors such as NGF, HGF, and EGF, indicates a beneficial synergistic effect in the nerve repair process (Wu et al., 2022). Similar to CNTs, graphene oxide has been shown to facilitate nerve regeneration by enhancing cell adhesion strength through its physicochemical and topographical properties. For instance, Llewellyn et al. (2021) showed that the synergistic effect of AD-MSCs with graphene oxide resulted in increased proliferation and differentiation of AD-MSCs into Schwann-like cells with spindle-shaped morphology. However, despite the increased NGF protein production in vitro, this synergistic effect did not lead to improved nerve regeneration in vivo due to the lack of impact on NGF protein production. Confirming this finding, it was determined that the co-administration of AD-MSCs and graphene oxide did not have a significant impact on the sprouting rate, despite an increase in the length of DRG neurites. NGF plays a crucial role in the regeneration and sprouting of axons in primary sensory neurons ().

FIGURE 7

). (B): (A) TEM image of exosomes from BM-MSCs. Nerve morphometric analysis in the groups for (B) axon diameter and (C) nerve diameter. (ns: non-significant, *p < 0.05 and **p < 0.01). (D) quantification of the muscle weight from the treated hind limb (****p < 0.0001). (E) Histopathology of isolated sciatic nerve samples showing improvement in the tissue organization in the treated groups (scale bar: 10 µm). Reprinted with permission from ref. (Singh et al., 2021).

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. showed that the synergistic effect of OE-MSCs and IONPs (10 ± 2 nm) in alginate fibers changed the morphology of OE-MSCs from round to spindle-shaped with longer fibers compared to alginate nanofibers or alginate hydrogels. The mechanism of these morphological changes remains unclear, but it seems that the presence of nano-sized protrusions by IONPs promotes cell cytoplasmic expansion and differentiation into Schwann-like cells by enhancing cell adhesion. Additionally, the decrease in nestin, corresponding to greater cell proliferation (), and the increase in β-tubulin-3 and GFAP supports the positive effect of IONPs in synergy with OE-MSCs to generate Schwann-like cells (). Despite the dose-dependent toxicity of IONPs, it was discovered that the synergistic effect actually enhanced the viability of OE-MSCs by up to 10 mg/mL IONPs when compared to alginate hydrogels and alginate nanofibers. Meanwhile, based on FDA data, IONPs concentrations up to 24 mg/mL did not have any negative effects on UC-MSCs activity (). Consequently, the accumulation of IONPs-binding agent, particularly glutaraldehyde, on alginate is likely to induce toxicity and apoptosis at higher IONPs concentrations. Subsequently, demonstrated that the synergistic effect of OE-MSCs with IONPs in aligned alginate fibers enhanced the proliferation (up to 20%) and differentiation of OE-MSCs into Schwann-like cells (based on a 2-fold increase of tubulin-3 and GFAP). Additionally, they observed that altering the fiber orientation from random to oriented successfully reduced the toxicity of IONPs (). Another study utilizing a rat model of sciatic nerve injury showed that the synergistic effect of AD-MSCs with IONPs (3–16 nm) effectively preserved myelinated axons, increased myelin membrane thickness, improved amplitude, enhanced muscle action potential, and decreased latency compared to individual approaches (Soto et al., 2021). Increased levels of tubulin three and MBP confirmed the beneficial synergistic effect of AD-MSCs with IONPs on sciatic nerve regeneration. Despite the positive influence of IONPs on the conversion of AD-MSCs into Schwann-like cells, the accumulation of IONPs-labeled AD-MSCs in targeted tissue exceeded that of AD-MSCs due to the magnetic field. This non-invasive approach accelerates the pace of regeneration in injured sciatic nerves.

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 (), its potential application in human clinical practice is still uncertain. Nevertheless, the use of electrical stimulation instead of chemical/cellular stimulation is remarkable due to the elimination of chemical processing, cost-effectiveness, control over the spatio-temporal differentiation of cells, and the formation of neural circuits. demonstrated that the combined impact of electrical stimulation (100 mV signal with 50 Hz frequency, 10 min per day) with BM-MSCs on graphene substrates notably enhanced the paracrine secretion of NGF, GDNF, and BDNF similar to chemical stimulation (mercaptoethanol, retinoic acid, forskolin, and heregulin). Furthermore, a positive effect of electrical stimulation similar to chemical stimulation is validated through the increase in p75, S100, and S100β markers (). These findings are consistent with those of Uz et al. (2020), who also illustrated that the synergistic effect of electrical stimulation with BDNF-transfected BM-MSCs on graphene substrates amplified NGF and GDNF production, as well as the expression of Schwann cell-specific markers (S100, S100β, p75, MAP, and Tuj1). NGF secretion increased to 50 ng/mL when the voltage was changed from 25 to 100 mA at 50 Hz. However, this voltage change did not affect the specific markers S100, S100β, and p75. When PC12-TrkB was cultured with BDNF-transfected BM-MSCs under electrical stimulation, the neurite length increased by 1.5–2-fold and neuronal myelination by 90% (Uz et al., 2020). Similarly, Uz et al. (2019) demonstrated that the synergistic effect of electrical stimulation (100 mV at 50 Hz, 2 min per day) with BM-MSCs on graphene/gelatin-based conduits increased NGF secretion and induced differentiation of BM-MSCs into Schwann-like cells, as evidenced by increased expression of p75, S100, and S100β markers. The application of gelatin to graphene, along with the presence of BM-MSCs, not only prevented the expected toxicity of graphene to neurons, but also led to the formation of 3D intracellular networks within the lumen through the induction of cell proliferation (Uz et al., 2019). Cell differentiation on carbon nanomaterial-containing conduits seems to be affected by focal adhesion kinase, amplification of the mitogen-activated protein kinase (p38) signaling pathway, alteration of cell membrane potential, regulation of ion channels, activation of calcium channels, and regulation of depolarization. However, a challenge in utilizing carbon sheets for transmitting electrical impulses is the potential increase in dedifferentiation of differentiated MSCs.

enhanced the length of neurites in BM-MSCs by using AuNPs-polyaniline polymer nanospheres (180 ± 20 nm) and combining them with electrical stimulation. This resulted in neurites reaching up to 170 μm, a significant increase compared to the group without NPs and individual approaches. Through microscopy and specific markers MAP2 and Tuj1, they also observed a change in the phenotype of BM-MSCs into Schwann-like cells due to this synergistic effect. The mechanism of action involves a potential 10% increase in electrical conductivity by NPs and an impact on Ca2+ influx into the cytoplasm to stimulate protein kinase C via the ERK1/2 pathway. Singh et al. (2021) recently demonstrated in a diabetic neuropathy model that the synergy approach of internalizing PPy-NPs (88.40 ± 3.46 nm) into BM-MSC-derived exosomes (211.8 ± 76.5 nm) with electrical stimulation (2 Hz frequency and 1 mA) enhanced the diameter of nerve fibers and axons in the sciatic nerve compared to individual treatments (Figure 7B). This resulted in a notable increase in nerve conduction velocity to 57.60 ± 0.45 m/s and a rise in muscle action potential to 16.96 ± 0.73 mV, indicating a positive synergistic effect of the treatment process. While there were no significant effects on myelin sheath thickness, axon density, muscle structure, or gastrocnemius muscle weight, the elevation of S100, MBP, and MPZ markers suggested a favorable synergistic effect on axon 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 (). Numerous clinical studies based on reports from www.ClinicalTrials.org have been conducted for the treatment of neurological diseases. Despite promising experimental results, the use of synergistic approaches in clinical applications has been delayed due to the contradictory results. Although various licenses have been granted for the independent use of conduits, NPs, cell therapy, drug delivery, and electrical stimulation to repair neural tissue (Table 3), the use of synergistic approaches remains debated. Lack of complete knowledge about immune system responses, unexpected behavior of neurons and MSCs, and ethical or legal issues are the main reasons for the slow development of synergistic approaches in clinical work.

TABLE 3

Subject under investigationConditionsInterventionsNCT number
Safety and efficacy of autologous Schwann cell augmentation in severe peripheral nerve injuryPeripheral nerve injuryBiological: Autologous human Schwann cellNCT05541250
Safety of cultured allogeneic UC-MSCs for trigeminal neuralgia and peripheral neuropathyPeripheral neuropathy
Trigeminal neuralgia
Biological: AlloRxNCT05152368
Human amniotic membrane and MSCs compositeBrachial plexus neuropathiesProcedure: 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 injuryInjury of nerves at wrist and hand levelDevice: PolynerveNCT02970864
Nerve repair using hydrophilic polymers to promote immediate fusion of severed axons and swift return of functionPeripheral nerve injuryDrug: Polyethylene glycolNCT02359825
Mid-term effect observation of biodegradable conduit small gap tublization repairing peripheral nerve injuryPeripheral nerve injuryOther: Degradable conduit small gap tublizationNCT03359330
Reconstruction of digital nerve lesions with muscle-in-vein conduitsPeripheral nerve injury upper limbOther: Nerve reconstructionNCT04788030
A comparative post-marketing study of commercially available peripheral nerve gap repair optionsTraumatic nerve injuryDevice: Hollow tube nerve conduits, synthetic or biosyntheticNCT00948025
Promoting healing of injured nerves with electrical stimulation therapyPeripheral nerve injury
Peripheral nerve injury upper limb
Device: Checkpoint BEST SystemNCT05884125
Electrical stimulation to enhance peripheral nerve regenerationPeripheral nerve injuryProcedure: Post-surgical electrical stimulationNCT02403661
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 reconstructionPeripheral nerve injuryOther: Processed human nerve graft
Other: Standard treatment, autogenous nerve graft, direct sutureetc.
NCT01526681
Tesamorelin to improve functional outcomes after peripheral nerve injuryPeripheral nerve injuryDrug: 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 (). Although the type of treatment, type of PNI, and person`s lifestyle can affect MSC activity, the lack of convergence in these cases makes it difficult to determine the level of influence of MSCs.

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 (). This is because the current criteria do not allow for independent observation of MSCs during long-term regeneration processes, including migration, half-life, heterogeneous differentiation, MSC-derived neurofibrillary function, degree of integrity, and various protective-regenerative functions. In addition to focusing on labeling and technical analysis of lab-on-a-chip or organoids, altering the regeneration concept or optimizing the regeneration process based on the presence of MSCs can partially address the challenges of regeneration with MSCs.

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 (). Given that MSCs, similar to other stem cells, have the ability to differentiate into cell types other than Schwann-like cells or undergo de-differentiation, the occurrence of such biological phenomena is not unexpected. Additionally, MSCs produce cytokines, such as chemokines and growth factors, which can directly stimulate cancer cell receptors and support tumor growth. Therefore, it is important to evaluate both tumorigenic and regenerative indicators to assess potential cancer risk before starting clinical trials.

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 (). Prolonged culture time and increased passage number can result in cell aging, negatively impacting regeneration activity once the Hayflick number is reached. Consequently, commercial or large-scale expansion may face challenges with cell aging and mutations across multiple passages. Presently, the use of MSC-derived exosomes, along with exclusive cultures of recipient cells, is seen as a therapeutic solution, raising questions about the adoption of a standard protocol.

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

Updates

Copyright

*Correspondence: Majid Sharifi, ; Mohammad Kamalabadi-Farahani, ; Somayeh Ebrahimi-Brough,

Disclaimer

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.

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