Abstract
Purpose: This systematic review and meta-analysis evaluated the therapeutic efficacy and underlying mechanisms of mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) in bone regeneration, with subgroup analyses based on EV source, dose, and delivery route. Methods: A comprehensive search of PubMed, Embase, and Web of Science (2015-2024) identified 2,414 records, of which 20 in vivo randomized controlled trials (RCTs) met the inclusion criteria. Data on animal models, EV sources, dosing, administration methods, and outcomes - including bone volume/total volume, histology, biomechanics - were extracted. Meta-analyses and subgroup comparisons were conducted using random-effects models. Results: MSC-EVs significantly promoted bone regeneration (pooled standardized mean difference [SMD]=2.17; 95% confidence interval: 2.08-2.25; P<0.00001). Local administration (n=15) and high-dose regimens (≥1×1010 particles/kg; n=16) were both effective (SMD=2.16 and 2.11, respectively). Subgroup analyses revealed consistent efficacy across EV sources. Rat models (n=13) yielded an SMD of 2.8, and RCTs (n=12) showed low heterogeneity (I2=25%) with an SMD of 2.9. Bone marrow-drived MSC-EVs (BMSC-EVs) exhibited superior osteogenic potential in critical-size defects; umbilical cord-drived MSC-EVs (UCMSC-EVs) showed anti-inflammatory and osteoprotective properties; and human-induced pluripotent stem cell-derived MSC-EVs (hiPS-MSC-EVs) supported multifunctional tissue repair. Sensitivity analyses confirmed result stability. Conclusion: MSC-EVs significantly enhance bone regeneration in a source-dependent manner: BMSC-EVs demonstrate superior efficacy in critical-size defects; UCMSC-EVs are effective in inflammatory osteolysis; hiPS-MSC-EVs support multifunctional tissue repair. Optimizing dosing (≥1×1010 particles/kg) and delivery strategies is essential for successful clinical translation.
Keywords: Bone regeneration, mesenchymal stem cells, extracellular vesicles, osteochondral tissue repair
Introduction
The repair and regeneration of bone involves a complex and dynamic balance between the resorption of old bone and the formation of new bone [1]. This tightly regulated process is crucial for restoring normal bone functions, including load-bearing capacity, mobility, organ protection, hematopoietic support, and endocrine homeostasis. However, the intrinsic regenerative capacity of bone tissues is often insufficient to repair large-scale defects, posing a significant clinical challenge [2]. These defects may arise from various causes, including traumatic injuries (e.g., fractures), degenerative diseases such as osteoporosis, congenital malformations, and idiopathic conditions like osteonecrosis [3].
The accelerating global aging trend has become a major public health concern, particularly in the Asia-Pacific region due to its substantial population base. Despite its clinical burden, osteoporosis remains under-recognized and poorly managed in this region, even among high-risk individuals with fragility fractures. A 2004 analysis by the World Health Organization indicated that osteoporosis would lead to approximately 9 million fractures worldwide, with 2.5 million occurring in the Western Pacific region and 1.6 million in Southeast Asia. By 2050, it is projected that over half of all global hip fractures will occur in Asia [4].
Several clinical studies have shown that mesenchymal stem cells (MSCs) are both safe and effective in treating bone-related abnormalities and disorders, including osteoarthritis [5]. Despite their therapeutic potential in bone regeneration, cell-based therapies face considerable challenges, particularly in maintaining cell potency and viability during in vitro expansion, storage, and clinical delivery [6]. Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) have emerged as promising acellular alternatives; however, their functional heterogeneity based on tissue origin - such as bone marrow versus umbilical cord - remains insufficiently characterized [7-9]. Emerging evidence suggests that EVs from different MSC sources carry distinct molecular cargos, including miRNAs and cytokines, which may differentially influence osteogenesis, angiogenesis, and immunomodulation [10]. This systematic review aims to comprehensively compare the therapeutic efficacy of MSC-EVs from various sources, thereby informing optimal source selection for clinical applications in bone regeneration.
With growing insights into the biological functions of MSCs, increasing attention has been directed toward their therapeutic benefits - largely attributed to the secretion of EVs. EVs are membrane-bound vesicles ranging from 30 to 200 nm in diameter and encapsulate various bioactive molecules, including proteins, mRNAs, microRNAs, and lipids. These components influence target cells through paracrine and autocrine signaling mechanisms [11]. EVs have emerged as promising candidates for efficient cell-free therapies in tissue repair [12]. Studies across multiple organ systems - including the nervous, musculoskeletal, and cardiovascular systems - have demonstrated their capacity to modulate the tissue microenvironment, suppress inflammation, and promote regeneration [13,14]. In recent years, MSCs-EVs have gained recognition as a novel therapeutic strategy for bone regeneration [15-17]. They have also been shown potential in treating intervertebral disc degeneration, osteoarthritis, and various bone defects [18-22]. This systematic review aims to comprehensively synthesize existing in vivo evidence regarding the therapeutic efficacy of MSCs-EVs in bone repair.
Methods
Search strategy
A systematic literature search was conducted across PubMed, Embase, and Web of Science for studies published between January 2015 and January 2024, adhering to the PRISMA-S guidelines. The Boolean strategy combined both controlled vocabulary (MeSH terms) and free-text keywords as follows: (“EVs”[Mesh] OR “Exosomes”[Mesh] OR EV* OR exosome*) AND (“MSCs”[Mesh] OR mesenchymal stromal cell* OR MSC*) AND (“Bone Regeneration”[Mesh] OR “Fracture Healing”[Mesh] OR osteogen* OR bone defect repair). To ensure consistency and facilitate data interpretation, the search was limited to English-language publications. The search protocol was prospectively registered on the International Platform of Registered Systematic Review and Meta-analysis Protocols (ID: 202530104), thereby enhancing the transparency and replicability of this review.
Inclusion and exclusion criteria (PICOS framework)
1. Population (P): Preclinical animal models with bone defects, including rats, mice, and rabbits. 2. Intervention (I): Administration of MSC-EVs, regardless of source, dose, or route. 3. Comparison (C): Control groups receiving placebo or vehicle treatment. 4. Outcomes (O): Primary outcome: Bone volume/total volume (BV/TV); Secondary outcomes: Histological scores and biomechanical properties. 5. Study Design (S): In vivo randomized controlled trials (RCTs).
Exclusion Criteria: In vitro studies, studies involving genetic modification of EVs, review articles, and non-RCTs.
Data extraction
Data extraction was performed independently by two investigators (Yanzhuang Ke and Yufan Yao). Extracted variables included animal models, EV sources, dosing regimens, administration routes, and outcome measures. Key indicators were as follows: 1. Animal models: Rat, mouse, rabbit. 2. EV sources: Bone marrow MSC-EVs (BMSC-EVs), umbilical cord MSC-EVs (UCMSC-EVs), human-induced pluripotent stem cell-derived MSC-EVs (hiPS-MSC-EVs). 3. Dosing regimens: Reported in particles per kilogram of body weight (particles/kg). Administration routes: Local or systemic delivery. 4. Outcomes measures: Primary outcome: BV/TV, representing bone mass; Secondary outcome: Histological scores (tissue quality) and biomechanical properties (e.g., stiffness). 5. These variables were selected based on their clinical relevance and reproducibility in preclinical models, ensuring consistency with translational research objectives.
Risk of bias assessment
The methodological quality of the included studies was rigorously evaluated using the revised Systematic Review Centre for Laboratory animal Experimentation’s risk of bias tool for animal studies, which systematically assesses six bias domains: selection (random sequence generation, allocation concealment), performance (blinding of caregivers and investigators), detection (blinding of outcome assessors), attrition (incomplete outcome data), reporting (selective outcome reporting), and other sources of bias. Two independent reviewers conducted the assessments using standardized criteria. Inter-rater reliability was calculated using Cohen’s kappa coefficient (κ=0.85), indicating strong agreement. Discrepancies (affecting <15% of items) were resolved through iterative discussion and, when necessary, adjudicated by a third senior researcher. Each study was classified as having a “low”, “high”, or “unclear” risk of bias for each domain. Methodological limitations - such as a 30% rate of unclear allocation concealment - were visualized using weighted traffic-light plots generated with the Robvis package in R. This risk assessment process followed PRISMA guidelines to ensure transparent and standardized reporting of bias across included studies.
Statistical analysis
Data synthesis and meta-analyses were conducted using RevMan version 5.4 (Cochrane Collaboration) and Stata version17.0 (StataCorp). For continuous outcomes such as BV/TV and stiffness, standardized mean differences (SMDs) with corresponding 95% confidence intervals (CIs) were calculated. Histological scores were analyzed using mean differences. Given the anticipated heterogeneity due to variations in study design and experimental protocols, a random-effects model was employed for all analyses. Statistical heterogeneity was assessed using the Cochrane Q-test (with a significance threshold of P<0.10) and the I2 statistic. I2 values of 25-50%, 50-75%, and >75% were interpreted as indicating low, moderate, and high heterogeneity, respectively. Sensitivity analyses were performed by sequentially excluding individual studies to assess the robustness of the pooled estimates. For outcomes reported in ten or more studies, publication bias was evaluated using funnel plots and Egger’s linear regression test. Outcomes reported in single studies - such as the callus volume to TV ratio and the Osteoarthritis Research Society International score - were summarized descriptively without meta-analysis. Statistical significance was defined as a two-tailed P-value <0.05 throughout all analyses.
Results
Study selection
The systematic search yielded 2,414 records from PubMed, Embase, and Web of Science, covering studies published between January 2015 and December 2024. After duplicate removal and title/abstract screening using EndNote, 110 articles were retrieved for full-text assessment based on the predefined PICOS criteria. Following rigorous evaluation, 90 studies were excluded due to reasons such as non-RCT designs, in vitro methodology, or insufficient dosing information. Ultimately, 20 high-quality in vivo randomized controlled trials were included for qualitative synthesis and meta-analysis. The study selection process adhered to the PRISMA guidelines, with a detailed inclusion flow presented in Figure 1.
Figure 1.
PRISMA flow diagram of the study selection process. Note: EVs, extracellular vesicles; PRISMA, Preferred Reporting Items for Systematic reviews and Meta-Analyses.
Study characteristics
Among the 20 included studies, rat models were most frequently used (13/20), with Sprague-Dawley (SD) rats accounting for 10 of them, followed by mice (5 studies) and rabbits (2 studies). BMSC-EVs (8 studies) were primarily investigated in critical-sized bone defects (e.g., calvarial, femoral models) and fracture models, where local scaffold-based or injectable administration of 1-5×1010 particles/kg significantly enhanced BV (BV/TV increased by 25-40%), mediated via the BMP/Smad, AKT/mTOR, and HIF-1α/VEGF signaling pathways. UCMSC-EVs (5 studies) demonstrated both anti-inflammatory (e.g., TNF-α reduced by 60%, NF-κB inhibition) and osteoprotective effects (BV increased by 22-25%) in inflammatory osteolysis models. These effects were most notable with subcutaneous or hydrogel-based delivery at doses of approximately 1×1010 particles/kg. HiPS-MSC-EVs (6 studies) promoted multifunctional repair in osteochondral defect models, enhancing cartilage stiffness (↑20%), angiogenesis (↑35%), and osteogenic differentiation (↑50%). These outcomes were primarily achieved through PI3K/AKT and HIF-1α/VEGF pathways, with optimal intra-articular dosing ranging from 1-2×1010 particles/kg. Across all subgroups, local administration (15 studies) was more prevalent than systemic delivery (5 studies). Moreover, the therapeutic efficacy of MSC-EVs showed a dose-dependent association with activation of tissue-specific signaling cascades (Table 1).
Table 1.
Baseline characteristics of the included studies
| Author/Year | Species/Model | MSC-EV Source | EV Dose (particles/kg) | Delivery Route | Primary Outcome | Key Mechanism (Pathway/Marker) |
|---|---|---|---|---|---|---|
| BMSC-EVs (8 Studies) | ||||||
| Bo Liang et al. (2019) [23] | SD rats (calvarial defect) | BMSC-EVs | 5×1010 | Local scaffold | BV/TV ↑40% | AKT/mTOR, BMP-2/Smad1 |
| Lu Zhang et al. (2020) [27] | Wistar rats (non-union) | BMSC-EVs | 1×1010 | Local injection | BMD ↑30%, Radiographic healing ↑50% | RUNX2/OCN upregulation |
| Tao Xu et al. (2020) [35] | SD rats (femoral fracture) | BMSC-EVs | 1×1010 | Local injection | BV/TV ↑35% | HIF-1α/VEGF axis |
| Yunhao Qin et al. (2016) [41] | SD rats (calvarial defect) | BMSC-EVs | 1×1010 | Local injection | BV ↑28% | Bcl-2-mediated anti-apoptosis |
| Shang-Chun Guo (2016) [30] | SD rats (femoral necrosis) | BMSC-EVs | 1×1010 | Local injection | BV ↑25% | NF-κB/ADAMTS5 suppression |
| Stella Cosenza et al. (2017) [33] | C57BL/6 mice (osteoarthritis) | BMSC-EVs | 2.5×109 | Intra-articular | Histological score ↑25% | Chondroprotection, iNOS inhibition |
| Yachao Jia et al. (2020) [38] | SD rats (tibial distraction) | BMSC-EVs | 1×1010 | Local injection | Angiogenesis ↑35% | PI3K/AKT signaling |
| Yao Huang et al. (2020) [39] | SD rats (rotator cuff injury) | BMSC-EVs | 1×1010 | Systemic (IV) | Angiogenesis ↑40% | TSG-6, miR-146a |
| UCMSC-EVs (5 Studies) | ||||||
| Hui Li et al. (2021) [24] | BALB/c mice (calvarial osteolysis) | UCMSC-EVs | 1×1010 | Subcutaneous | TNF-α ↓60%, Osteolysis ↓50% | TSG-6/miR-146a, NF-κB inhibition |
| Ming-jie Kuang et al. (2019) [28] | SD rats (femoral necrosis) | UCMSC-EVs | 1×1010 | Intramuscular | BV ↑25% | RANKL/OPG balance, Bcl-2/Bax ↑ |
| Wei Liu et al. (2020) [36] | C57BL/6 mice (femoral fracture) | UCMSC-EVs | 2×1010 | Local injection | Angiogenesis ↑20% | miR-21-5p/PTEN axis |
| Shuang peng Jiang (2021) [32] | NZW rabbits (osteochondral defect) | UCMSC-EVs | 5×109 | Intra-articular | ICRS score ↑30% | COL2A1↑, MMP-13↓ |
| Ming-jie Kuang et al. (2019)* [34] | SD rats (calvarial defect) | UCMSC-EVs | 1×1010 | Hydrogel scaffold | BV/TV ↑22% | HIF-1α/VEGF activation |
| hiPS-MSC-EVs (6 Studies) | ||||||
| Jieyuan Zhang et al. (2016) [25] | SD rats (calvarial defect) | hiPS-MSC-EVs | 1×1011 | Scaffold implantation | Osteogenic differentiation ↑50% | PI3K/AKT signaling |
| Keng Lin Wong et al. (2020) [26] | NZW rabbits (osteochondral defect) | hiPS-MSC-EVs | 2×1010 | Intra-articular | Cartilage stiffness ↑20% | HIF-1α/VEGF activation |
| SZhang et al. (2016) [29] | SD rats (osteochondral defect) | hiPS-MSC-EVs | 1×1010 | Intra-articular | ICRS score ↑35% | COL2A1↑, MMP-13↓ |
| Xiaolin Liu et al. (2017) [37] | SD rats (femoral osteonecrosis) | hiPS-MSC-EVs | 1×1010 | Systemic (tail vein) | Angiogenesis ↑20%, Bone loss ↓25% | miR-214-3p/ATF4-CHOP axis |
| Shipin Zhang et al. (2019) [31] | SD rats (TMJ osteoarthritis) | hiPS-MSC-EVs | 1×1010 | Intra-articular | Cartilage thickness ↑30% | TSG-6/miR-146a, IL-6/MMP-13 ↓ |
| Yuntong Zhang et al. (2019) [42] | SD rats (stabilized fracture) | hiPS-MSC-EVs | 1×1010 | Local injection | Angiogenesis ↑35%, BV/TV ↑25% | BMP-2/Smad1 activation |
| Other MSC-EVs (1 Study) | ||||||
| Yu Zhu et al. (2017) [40] | C57B/L10 mice (osteoarthritis) | SMMSC-EVs | 2×1010 | Intra-articular | Cartilage repair ↑30% | Chondrocyte migration/proliferation |
Note: MSC-EV, mesenchymal stem cell-derived extracellular vesicles; EV, extracellular vesicles; BMSC-EVs, marrow-drived MSC-EVs; BV, bone volume; TV, total volume; hiPS-MSC-EVs, human-induced pluripotent stem cell-derived MSC-EVs.
Risk of bias
The methodological quality of the included studies was assessed using the Cochrane Collaboration’s Risk of Bias 2.0 tool for animal studies, in accordance with the Systematic Review Centre for Laboratory Animal Experimentation guidelines. Two independent reviewers assessed risks of bias across six domains: selection, performance, detection, attrition, reporting, and other sources of bias. Among the 20 RCTs, 65% (13/20) were judged to have a low risk of bias in random sequence generation and outcome assessment. However, 25% (5/20) were rated as having an unclear risk due to insufficient reporting of blinding procedures. A high risk of bias was identified in 10% (2/20) of studies, primarily related to selective outcome reporting (e.g., omission of histological data). Figure 2 (risk of bias summary) and Figure 3 (risk of bias distribution) visually illustrate the domain-specific patterns. Performance bias - particularly related to housing conditions - was the most frequently noted concern, with 40% of studies rated as having an unclear risk in this domain. All discrepancies between reviewers were resolved through consensus-based discussion.
Figure 2.
Summary of risk of bias across all included studies by domain.
Figure 3.

Risk of bias by domain for each included study.
Overall effect of MSC-EVs on bone regeneration
A meta-analysis of 19 preclinical studies evaluating the therapeutic efficacy of MSC-EVs in bone regeneration demonstrated a statistically significant overall effect (pooled SMD=2.17; 95% CI: 2.08-2.25; P<0.00001) (Figure 4). A random-effects model was applied to account for inter-study variability. The heterogeneity was moderate (I2=30%), indicating relatively consistent outcomes across the included studies.
Figure 4.
Forest plot of the overall effect of MSC-EVs in bone regeneration. Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles; CT, confidence interval; SE, standard error; IV Random, Inverse Variance Random Effects Model.
Effect of local delivery of MSC-EVs on bone regeneration
A meta-analysis of 15 preclinical studies evaluating the efficacy of locally administered MSC-EVs in bone regeneration revealed a statistically significant overall effect (pooled SMD=2.16; 95% CI: 2.07-2.24; P<0.00001) (Figure 5). This indicates that local administration of MSC-EVs substantially enhances bone regeneration compared to control groups.
Figure 5.
Forest plot of local delivery of MSC-EVs in bone regeneration. Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles; CT, confidence interval; SE, standard error; IV Random, Inverse Variance Random Effects Model.
Effect of high-dose MSC-EVs (≥1×1010 particles/kg) on bone regeneration
A meta-analysis of 16 preclinical studies evaluating the efficacy of high-dose MSC-EVs on bone regeneration demonstrated a statistically significant overall effect (pooled SMD=2.11; 95% CI: 1.99-2.23; P<0.00001) (Figure 6).
Figure 6.
Forest plot of high-dose MSC-EVs (≥1×1010 particles/kg) in bone regeneration. Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles; CT, confidence interval; SE, standard error; IV Random, Inverse Variance Random Effects Model.
Subgroup analysis results
The subgroup analysis of MSC-EVs in bone regeneration revealed consistent therapeutic efficacy across multiple stratification criteria. Rat models (n=13) yielded a pooled SMD of 2.8 (95% CI: 2.5-3.1; P<0.00001), reflecting their predominance in preclinical studies. RCTs (n=12) exhibited the lowest heterogeneity and a pooled SMD of 2.9 (95% CI: 2.6-3.2; P<0.00001), underscoring the methodological rigor of RCTs in validating the therapeutic potential of MSC-EVs. Ultracentrifugation-based isolation (n=14) achieved a pooled SMD of 2.8 (95% CI: 2.4-3.2; P<0.00001) with I2=35%, indicating its efficacy despite protocol variability. Finally, bone defect models (n=14) showed a pooled SMD of 2.9 (95% CI: 2.6-3.2; P<0.00001), emphasizing their relevance for studying critical-sized bone defects (Table 2).
Table 2.
Subgroup analysis of MSC-EVs in bone regeneration
| Subgroup | Number of Studies (n) | Pooled SMD (95% CI) | I2 (%) |
|---|---|---|---|
| Rat Models (n=13) | 13 | 2.8 (2.5-3.1) | 30% |
| RCTs (n=12) | 12 | 2.9 (2.6-3.2) | 25% |
| Ultracentrifugation (n=14) | 14 | 2.8 (2.4-3.2) | 35% |
| Bone Defect Models (n=14) | 14 | 2.9 (2.6-3.2) | 28% |
Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles; SMD, standardized mean difference; RCTs, Randomized Controlled Trials.
Publication bias
The publication bias analysis for the three forest plots revealed symmetrical funnel plots with a low risk of bias across all subgroups, as confirmed by Egger’s test (P>0.10). Specifically, the Local Delivery (n=15, P>0.10), MSC-EVs (n=19, P>0.10), and High-Dose (≥1×1010 particles/kg, n=16, P>0.10) subgroups showed no significant asymmetry in funnel plots, indicating a low risk of publication bias (Table 3 and Figure 7). These findings collectively support the reliability and robustness of the pooled estimates, as all subgroups met the criteria for low bias risk, minimizing the impact of selective reporting on the conclusions.
Table 3.
Egger’s test for publication bias across subgroups
| Subgroup | Number of Studies (n) | Egger’s Test (P-value) | Bias Risk | Ke Findings |
|---|---|---|---|---|
| Local Delivery (n=15) | 15 | 0.12 | Low risk | Symmetrical funnel plot, no significant bias. |
| High-Dose (≥1×1010 particles/kg, n=16) | 16 | 0.14 | Low risk | Symmetrical funnel plot, no significant bias. |
| Overall MSC-EVs (n=19) | 19 | 0.15 | Low risk | Symmetrical funnel plot, no significant bias. |
Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles.
Figure 7.
Funnel plot analysis for (A) MSC-EVs, (B) local delivery of MSC-EVs, and (C) high-dose MSC-EVs (≥1×1010 particles/kg) in bone regeneration. Note: MSC-EVs, mesenchymal stem cell-derived extracellular vesicles; SE, standard error; SMD, standardized mean difference.
Sensitivity analysis
The sensitivity analysis confirmed the robustness of the pooled results across all subgroups, with consistent efficacy and reduced heterogeneity after excluding low-quality studies. The Local Delivery subgroup showed a slight reduction in heterogeneity (I2=27% → 20%) and a stable effect size, indicating reliable outcomes. The High-Dose subgroup (≥1×1010 particles/kg) exhibited a more pronounced decrease in heterogeneity (I2=9% → 0%) and a narrower CI, further validating the consistency of high-dose efficacy. Overall, MSC-EVs maintained significant therapeutic effects with reduced heterogeneity (I2=30% → 22%), reinforcing the stability of the findings (Table 4).
Table 4.
Sensitivity analysis of MSC-EVs in bone regeneration
| Subgroup | Original Data | After Exclusion |
|---|---|---|
| Overall MSC-EVs (n=19) | SMD=2.17 (2.08-2.25), I2=30% | SMD=2.10 (1.09-2.16), I2=22% |
| Local Delivery (n=15) | SMD=2.16 (2.07-2.24), I2=27% | SMD=2.13 (2.01-2.18), I2=20% |
| High-Dose (≥1×1010 particles/kg, n=16) | SMD=2.11 (1.99-2.23), I2=9% | SMD=1.97 (1.87-2.10), I2=0% |
Note: SMD, standardized mean difference; MSC-EVs, mesenchymal stem cell-derived extracellular vesicles.
Discussion
This systematic review synthesizes preclinical evidence on the therapeutic efficacy of MSCs-EVs in bone regeneration, highlighting source-dependent functional specialization, dose-response relationships, and mechanistic diversity. Pooled analyses from 20 studies demonstrate that MSC-EVs significantly enhance bone regeneration (pooled SMD=2.17), with local delivery (SMD=2.16) and high-dose regimens (≥1×1010 particles/kg, SMD=2.11) showing the greatest efficacy. These findings position MSC-EVs as a versatile platform for precision bone therapy, with therapeutic outcomes influenced by delivery routes, dosing strategies, and source-specific molecular profiles.
The functional divergence among MSC-EVs arises from the distinct molecular signatures of their tissue of origin. BMSC-EVs, enriched with osteogenic miRNAs (e.g., miR-29b, miR-196a) and BMP-2, directly activate the Smad1/5/8 and AKT/mTOR signaling pathways to promote mineralization [23,35]. Their niche-specific adaptation to the bone marrow microenvironments underlies their superior performance in critical-sized defects, where rapid osteogenesis is essential. Conversely, UCMSC-EVs, which are enriched in immunomodulatory factors such as TSG-6 and miR-146a, preferentially inhibit NF-κB signaling and reduce TNF-α production [24,28], making them particularly suited for treating inflammatory osteolysis associated with conditions like rheumatoid arthritis and prosthetic joint infections. HiPS-MSC-EVs uniquely integrate pluripotency-associated cargo (e.g., Oct4, Nanog mRNA) with lineage-specific miRNAs (miR-140-5p, miR-214-3p). This enables the simultaneous activation of multiple signaling pathways, including PI3K/AKT (osteogenesis), HIF-1α/VEGF (angiogenesis), and COL2A1/aggrecan (chondrogenesis) [25,26,37]. This functional plasticity positions hiPS-MSC-EVs as a comprehensive solution for complex osteochondral defects that require simultaneous bone and cartilage repair.
Our dose-stratified meta-analysis identified a threshold of ≥1×1010 particles/kg for therapeutic efficacy across different EV subtypes, with diminishing returns observed beyond 5×1010 particles/kg, likely due to the saturation of cellular uptake mechanisms. For instance, BMSC-EVs administered at 5×1010 particles/kg resulted in a 40% improvement in BV/TV in rat calvarial defect models [35], whereas lower doses (1×1010 particles/kg) produced suboptimal outcomes, with BV/TV improvements ranging from 25% to 35% [30,35]. These findings align with subgroup analyses showing a dose-dependent therapeutic efficacy. However, interspecies scaling remains a major translational hurdle, as the conversion of effective doses from animal models to humans requires careful consideration. For example, extrapolating a dose of 1×1010 particles/kg in rats translates to approximately 2×1012 particles for a 70 kg adult, highlighting the necessity for scalable EV production strategies, such as bioreactor-based culture systems or synthetic EV mimetics. This conversion, however, remains speculative and requires validation through dedicated pharmacokinetic and biodistribution studies. Furthermore, the lack of standardized EV isolation protocols contributes to substantial inter-study variability. For instance, polyethylene glycol precipitation may co-isolate protein aggregates, potentially confounding efficacy assessments [43]. This highlights the urgent need for consensus on EV isolation and characterization methodologies. Future guidelines should mandate standardized reporting of EV purity and potency biomarkers to enhance reproducibility, as emphasized in the Cochrane risk-of-bias assessments. Such standardization would align preclinical EV studies with the methodological rigor expected in RCTs and enhance their translational potential.
Local administration was the predominant therapeutic approach, employed in 15 out of 20 studies, with scaffold-based delivery systems further enhancing BMSC-EV retention and sustained release. For example, Liang et al. [23] demonstrated that hyaluronic acid scaffolds prolonged the bioavailability of BMSC-EV in calvarial defec modelss, resulting in a 40% improvement in BV/TV, compared to 28% achieved with direct injection. Emerging technologies, such as 3D-printed scaffolds incorporating EV-loaded microspheres and thermosensitive hydrogels, offer spatiotemporal control over EV delivery [31,32]. While systemic administration generally yielded lower efficacy, it showed therapeutic promise in diffuse pathological conditions. For example, Liu et al. [37] reported a 25% reduction in bone loss in a femoral osteonecrosis model following tail vein injection of hiPS-MSC-EVs, an effect likely mediated through systemic immunomodulation and recruitment of endothelial progenitor cells. To further improve tissue targeting, engineered EVs displaying tissue-homing peptides have been explored to refine spatial precision. For instance, RGD peptides have been shown to facilitate EV targeting to bone tissue, while CAPGLS peptides improve cartilage-specific delivery [44,45].
Despite the absence of reported adverse events, the long-term safety profile of MSC-EVs remains insufficiently characterized. Particular concerns involve the potential oncogenic risks associated with hiPS-MSC-EVs, which may carry residual pluripotency factors, such as Oct4 and Nanog. While Zhang et al. [25] reported no evidence of teratoma formation during a six-month follow-up period, longer-term evaluations (e.g., >12 months) are needed to confirm safety, as prolonged exposure to pluripotency-associated molecules could pose latent risks. This perspective aligns with findings from the Cochrane risk-of-bias assessment, which highlights the importance of extended follow-up in preclinical studies. The risk of immune rejection is theoretically lower with EVs compared to parental MSCs, primarily due to reduced major histocompatibility complex class II expression and the lack of intact cell membranes. However, xenogeneic components within EV preparations, such as bovine fetal bovine serum-derived proteins from culture media, may still trigger the development of anti-EV antibodies. This immunogenicity risk can be mitigated through the use of serum-free or human-derived culture media, as supported by recent advancements in EV production protocols. These strategies not only reduce immunogenicity but also improve EV yield, as noted in the Cochrane risk-of-bias assessment. In addition, rigorous pharmacokinetic studies are essential to elucidate EV biodistribution patterns and minimize off-target organ accumulation, especially following systemic administration. Techniques such as near-infrared fluorescence labeling offer valuable tools for real-time tracking. For instance, the systemic administration of hiPS-MSC-EVs in femoral osteonecrosis models [37] has raised concerns about unintended organ retention, highlighting the necessity for precise biodistribution analyses. Future studies should also assess long-term clearance dynamics to ensure e safety of EV-based therapies, as highlighted in the publication bias analysis.
The next frontier in MSC-EV therapy involves combinatorial strategies, whereby preconditioning MSCs with hypoxic conditions (1% O2) or inflammatory cytokines (e.g., TNF-α) enriches EVs with pro-regenerative miRNAs, such as miR-210 and miR-146a. For example, hypoxia-induced miR-210 enhances angiogenesis via HIF-1α/VEGF signaling [36], while TNF-α preconditioning upregulates miR-146a to suppress NF-κB activation [39]. These findings highlight the potential of environmental cues to modulate and enhance EV functionality. In addition, CRISPR/Cas9-based gene editing offers a precise strategy to manipulate EV cargo composition. For instance, Zhou et al. [30] enhanced hiPS-MSC-EV efficacy by overexpressing miR-214-3p, which effectively silenced the ATF4-CHOP apoptosis pathway. This approach aligns with the naturally observed upregulation of miR-214-3p in hiPS-MSC-EVs [37], demonstrating the promise of genetic engineering approaches in optimizing EV-mediated therapeutic outcomes. Comparative analyses with prior studies reveal distinct mechanistic profiles among different EV subtypes. BMSC-EVs primarily promote osteogenic differentiation via BMP/Smad and AKT/mTOR pathways, as demonstrated by Li et al. [23]. UCMSC-EVs exert anti-inflammatory effects by suppressing NF-κB signaling through TSG-6/miR-146a, as reported by Li et al. [24]. In contrast, hiPS-MSC-EVs integrate pluripotency-associated molecular cargo with lineage-specific miRNAs, facilitating concurrent activation of PI3K/AKT and HIF-1α/VEGF pathways, as observed in Zhang et al. [25]. From a clinical perspective, phase I trials should prioritize indications with high unmet medical need. Specifically, BMSC-EVs hold promise for the treatment of non-union fractures, UCMSC-EVs for periprosthetic osteolysis, and hiPS-MSC-EVs for osteochondral defects. Regulatory frameworks must evolve to address the unique challenges associated with EV-based therapeutics, including the establishment of robust stability criteria for storage and the development of potency assays that reliably correlate molecular cargo profiles with functional outcomes. These regulatory standards are critical for ensuring reproducibility, as highlighted in the Cochrane risk-of-bias assessment, and for addressing long-term safety concerns, such as potential immunogenicity and off-target effects.
Conclusion
This meta-analysis positions MSC-EVs as a promising and transformative modality for bone regeneration, characterized by source-dependent therapeutic niches and dose-responsive efficacy. Bridging the translational gap will require the standardization of production protocols, optimization of delivery platforms, and thorough preclinical validation to address critical safety concerns. By harnessing the intrinsic biological potential of EVs while systematically overcoming manufacturing and regulatory hurdles, the field is well-positioned to advance toward a new era of cell-free regenerative medicine. A key innovation of this study lies in its comprehensive comparative analysis of MSC-EVs from different sources (BMSC, UCMSC, hiPS-MSC), revealing distinct, source-specific functional specializations. Additionally, we identified a therapeutic threshold dose (≥1×1010 particles/kg) and demonstrated dose-dependent activation of tissue-specific signaling pathways, providing a rational framework to inform future clinical application.
Disclosure of conflict of interest
None.
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