REVIEW article

Front. Cell Dev. Biol., 13 October 2025

Sec. Stem Cell Research

Volume 13 - 2025 | https://doi.org/10.3389/fcell.2025.1655623

Umbrella review of mesenchymal stem cell-derived extracellular vesicles in preclinical models: therapeutic efficacy across diverse conditions

  • 1. Department of General Surgery No. 2, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

  • 2. Department of Languages, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

  • 3. Department of Epidemiology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

  • 4. Department of Dental Disciplines and Maxillofacial Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

  • 5. Department of Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

Abstract

Background:

Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) have emerged as a promising cell-free therapeutic strategy for various diseases due to their anti-inflammatory, anti-apoptotic, and regenerative properties. Numerous meta-analyses have evaluated MSC-EV efficacy in preclinical animal models, but a comprehensive synthesis across diverse conditions is lacking.

Objective:

This umbrella review aims to systematically evaluate the therapeutic efficacy, mechanisms, and methodological quality of MSC-EVs in preclinical models across multiple diseases.

Methods:

A systematic search of Scopus and Web of Science was conducted to identify meta-analyses published up to July 2025, focusing on MSC-EV interventions in preclinical animal models. Data were extracted on study characteristics, exosome sources, animal models, outcomes, and risk of bias. The AMSTAR 2 tool assessed meta-analysis quality, while SYRCLE and CAMARADES tools evaluated primary study bias. Narrative and quantitative syntheses summarized efficacy, heterogeneity, and publication bias.

Results:

Forty-seven meta-analyses covering 27 diseases were included, spanning neurological, renal, wound healing, liver, musculoskeletal, respiratory, and reproductive disorders. MSC-EVs demonstrated high efficacy, significantly improving functional scores, reducing inflammation, and promoting regeneration. Bone marrow-, adipose-, and umbilical cord-derived EVs were most effective, with modified EVs showing enhanced outcomes. Methodological quality was moderate (AMSTAR 2), with high heterogeneity (I2 > 70%) and frequent risk of bias due to poor randomization and blinding. Publication bias was noted but often robust after adjustments.

Conclusion:

MSC-EVs exhibit robust therapeutic potential across diverse preclinical models, supporting their development as a versatile regenerative therapy. Standardization of EV protocols, improved study quality, and mechanistic insights are critical for clinical translation. This review provides a comprehensive framework for advancing MSC-EV research and application.

1 Introduction

Mesenchymal stem cells (MSCs) have garnered significant attention in regenerative medicine due to their multipotent differentiation capacity, immunomodulatory properties, and ability to promote tissue repair (). Derived from various sources such as bone marrow, adipose tissue, and umbilical cord, MSCs have shown therapeutic promise in preclinical and clinical studies across a wide range of conditions, including neurological, cardiovascular, renal, and musculoskeletal disorders (Zhidu et al., 2024). However, challenges such as immune rejection, variable efficacy, and potential tumorigenicity (Zhou et al., 2021) have prompted exploration of cell-free alternatives, particularly MSC-derived extracellular vesicles (MSC-EVs).

MSC-EVs, including exosomes and microvesicles, are nano-sized membrane-bound structures that carry bioactive molecules such as microRNAs, proteins, and lipids (). These vesicles mediate intercellular communication and recapitulate many of the therapeutic effects of their parent cells, including anti-inflammatory, anti-apoptotic, and regenerative actions (). Unlike whole-cell therapies, MSC-EVs offer advantages such as lower immunogenicity, enhanced stability, and the ability to cross biological barriers, making them a promising platform for next-generation therapeutics (). Preclinical studies in animal models have demonstrated MSC-EV efficacy in diverse conditions, from ischemic stroke (Zhao et al., 2023) and spinal cord injury (SCI) (Yi and Wang, 2021) to diabetic wounds () and liver fibrosis (Zhou et al., 2024), highlighting their broad therapeutic potential.

Despite this promise, the field faces challenges, including variability in EV sources, isolation methods, and dosing regimens, as well as inconsistencies in preclinical study design and reporting (). Numerous meta-analyses have synthesized evidence on MSC-EV efficacy for specific diseases, but a comprehensive overview integrating these findings across conditions is lacking. Umbrella reviews, which systematically synthesize meta-analyses, provide a high-level perspective to assess the consistency, quality, and generalizability of evidence, guiding future research and clinical translation.

This umbrella review aims to evaluate the therapeutic efficacy of MSC-EVs in preclinical animal models across diverse diseases. By analyzing outcomes, exosome sources, mechanisms of action, and methodological quality, we seek to provide a robust synthesis of the current evidence, identify gaps, and propose directions for advancing MSC-EV-based therapies. This work addresses the critical need for a unified understanding of MSC-EV potential, paving the way for standardized protocols and clinical applications.

2 Materials and methods

This umbrella review was conducted to systematically synthesize evidence from meta-analyses evaluating the therapeutic efficacy of MSC-EVs in preclinical animal models across diverse diseases and conditions. The methodology followed established guidelines for systematic reviews, including the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the Joanna Briggs Institute (JBI) framework for umbrella reviews. Below, we detail the materials and methods used, organized into subsections for clarity.

2.1 Study design

This study is an umbrella review, defined as a systematic review of systematic reviews and meta-analyses. The objective was to aggregate and evaluate the therapeutic potential, mechanisms, and methodological quality of MSC-EV interventions in preclinical animal models. The review focused on meta-analyses to provide a high-level synthesis of evidence, capturing a broad range of diseases, exosome sources, and outcomes. The protocol was developed a priori and registered with PROSPERO to ensure transparency and reproducibility.

2.2 Search strategy

A comprehensive and systematic literature search was conducted to identify relevant meta-analyses. The search strategy was designed to capture studies evaluating MSC-EV therapeutic efficacy in preclinical models, with specific queries tailored to extracellular vesicles, mesenchymal stem cells, and meta-analyses (Table 1). The search was executed across multiple electronic databases, and the strategy was adapted from Table 1 of the provided article. The Scopus and Web of Science databases were searched from inception to July 2025 by two independent reviewers (N.M.M. and K.R.Z.) using standardized search protocols. Search results were exported to EndNote 20 for deduplication, and duplicates were removed using both automated and manual checks (Figure 1). The search strategy was validated by a medical librarian to ensure comprehensiveness and accuracy.

TABLE 1

CodeQueries
#1“Extracellular Vesicles” OR “Exosomes” OR “Extracellular Vesicle” OR “Vesicle, Extracellular” OR “Vesicles, Extracellular” OR “Exovesicles” OR “Exovesicle”
#2“Mesenchymal Stem Cells” OR “Stem Cell, Mesenchymal” OR “Mesenchymal Stem Cell” OR “Stem Cells, Mesenchymal” OR “Mesenchymal Stromal Cells” OR “Mesenchymal Stromal Cell” OR “Stromal Cell, Mesenchymal” OR “Stromal Cells, Mesenchymal” OR “Wharton Jelly Cells” OR “Wharton’s Jelly Cells” OR “Wharton’s Jelly Cell” OR “Whartons Jelly Cells” OR “Bone Marrow Stromal Cells” OR “Bone Marrow Stromal Cell” OR “Bone Marrow Stromal Cells, Multipotent” OR “Multipotent Bone Marrow Stromal Cell” OR “Multipotent Bone Marrow Stromal Cells” OR “Bone Marrow Stromal Stem Cells” OR “Mesenchymal Progenitor Cell” OR “Mesenchymal Progenitor Cells” OR “Progenitor Cell, Mesenchymal” OR “Progenitor Cells, Mesenchymal” OR “Multipotent Mesenchymal Stromal Cells” OR “Mesenchymal Stromal Cells, Multipotent” OR “Multipotent Mesenchymal Stromal Cell” OR “Bone Marrow Mesenchymal Stem Cells” OR “Bone Marrow Mesenchymal Stem Cell” OR “Adipose-Derived Mesenchymal Stem Cells” OR “Adipose Derived Mesenchymal Stem Cells” OR “Adipose-Derived Mesenchymal Stromal Cells” OR “Adipose Derived Mesenchymal Stromal Cells” OR “Mesenchymal Stem Cells, Adipose-Derived” OR “Mesenchymal Stem Cells, Adipose Derived” OR “Adipose Tissue-Derived Mesenchymal Stromal Cell” OR “Adipose Tissue Derived Mesenchymal Stromal Cell” OR “Adipose Tissue-Derived Mesenchymal Stromal Cells” OR “Adipose Tissue Derived Mesenchymal Stromal Cells” OR “Adipose Tissue-Derived Mesenchymal Stem Cell” OR “Adipose Tissue Derived Mesenchymal Stem Cell” OR “Adipose Tissue-Derived Mesenchymal Stem Cells” OR “Adipose Tissue Derived Mesenchymal Stem Cells” OR “Adipose-Derived Mesenchymal Stem Cell” OR “Adipose Derived Mesenchymal Stem Cell”
#3“meta-analysis” or “meta analysis”
#4#1 AND #2 AND #3 (Filter: language restriction (English), Date limitation: up to 31 July 2025)

Systematic search strategy for screening of meta-analysis articles evaluating mesenchymal stromal/stem cells-derived extracellular vesicles.

FIGURE 1

2.3 Eligibility criteria

For inclusion in this umbrella review, studies were selected based on predefined inclusion and exclusion criteria to ensure both relevance and methodological quality. Eligible studies were systematic reviews that included meta-analyses of preclinical studies, specifically those investigating MSC-EVs—including exosomes, microvesicles, or other EV subtypes—as the primary therapeutic intervention. Studies combining MSC-EVs with other therapies, such as scaffolds or pharmacological agents, were included provided that MSC-EVs remained the central focus. The target population comprised preclinical animal models used to study a broad range of diseases or conditions. Included studies had to report quantitative outcomes relevant to therapeutic efficacy, such as functional assessments, histological evaluations, molecular biomarkers, or survival rates. Only English-language, peer-reviewed journal articles were considered.

Studies were excluded if they were narrative reviews, systematic reviews without meta-analyses, or primary research articles. Additional exclusion criteria included studies that focused on EVs not derived from MSCs, unless MSC-EVs constituted a major component of the analysis. Clinical trials or studies involving human subjects were excluded, as were meta-analyses limited solely to in vitro data. Non-English publications, conference abstracts, grey literature, preprints, and other non-peer-reviewed materials were also excluded from this review.

2.4 Study selection

The study selection process was conducted in two distinct stages to ensure methodological rigor and transparency. In the first stage, titles and abstracts were independently screened by two reviewers (A.B. and M.A.K.). This initial screening was performed against the predefined eligibility criteria. Any discrepancies between the reviewers were resolved through discussion or, if necessary, by consulting a third reviewer (A.T.). In the second stage, the full texts of studies deemed potentially eligible were retrieved and independently evaluated by two additional reviewers (A.B. and M.A.K.) to determine their final inclusion. At this stage, specific reasons for exclusion were carefully documented. To provide a clear overview of the selection process, a PRISMA flow diagram was generated, outlining the number of records identified, screened, included, and excluded at each phase of the review (Figure 1).

2.5 Data extraction

Data extraction was carried out independently by two reviewers (N.M.M. and K.R.Z.) using a standardized form developed in Microsoft Excel. This form was piloted on five studies to ensure consistency, clarity, and completeness in data capture. After extraction, data were cross-verified for accuracy by the reviewers. Any inconsistencies were resolved through consensus or, when necessary, by consulting a senior author (A.T.).

The data extraction encompassed several key elements. For study characteristics, information was collected on the authors, year of publication, journal name, and reference number, along with the total number of studies included in each meta-analysis and the specific disease or condition being investigated. Intervention details included the type of MSC-EVs, the origin of the MSCs, and the method of delivery.

Regarding animal models, data were gathered on the species used, the specific strains, and the experimental disease models employed. Outcomes extracted included both primary outcomes and secondary outcomes. Where available, effect sizes such as standardized mean differences (SMD), weighted mean differences (WMD), hazard ratios (HR), or odds ratios (OR) were recorded, along with their corresponding 95% confidence intervals. Measures of heterogeneity, such as the I2 statistic, were also documented.

In terms of methodological quality, each study’s risk of bias was assessed using established tools like SYRCLE or CAMARADES. The overall risk of bias was categorized as low, moderate, high, or unclear. Evaluation of publication bias included methods such as Egger’s test and visual inspection of funnel plots. Furthermore, the AMSTAR 2 tool was used to appraise the methodological quality of the included systematic reviews and meta-analyses, with ratings categorized as high, moderate, low, or critically low, and critical flaws explicitly noted. Data were extracted from main texts, tables, and Supplementary Material. When numerical data was missing, attempts were made to contact the original authors for clarification. In cases where no response was obtained, data were estimated from graphical figures.

2.6 Quality assessment

To evaluate the methodological rigor of the included meta-analyses and the risk of bias in the primary studies they synthesized, two complementary assessment tools were employed. The AMSTAR 2 was used to appraise the overall quality of the included meta-analyses. Two independent reviewers (A.B. and G.A.T.) applied the 16-item checklist, with particular attention to critical domains such as protocol registration (item 2), comprehensiveness of the literature search strategy (item 4), justification for excluded studies (item 7), risk of bias assessment of included studies (item 9), appropriateness of the meta-analytic methods (item 11), and consideration of publication bias (item 15). Based on the number and severity of critical flaws identified, each meta-analysis was rated as having high, moderate, low, or critically low confidence in its findings. Any disagreements between reviewers were resolved through discussion and consensus. AMSTAR-2 ratings were assigned according to the number of critical domains rated ‘No.’ Reviews with ≥1 critical flaw were downgraded to low or critically low confidence.

The risk of bias in the primary studies included within each meta-analysis was assessed using the tools employed by the original meta-analyses themselves. The most commonly used instruments were the SYRCLE risk of bias tool and the CAMARADES checklist. These tools evaluated key domains of bias, including selection bias, performance bias, detection bias, attrition bias, and reporting bias. The overall risk of bias for each meta-analysis—categorized as low, moderate, high, or unclear—was recorded as reported in the studies. If a meta-analysis utilized a custom or non-standard assessment tool, its specific criteria were documented accordingly.

To improve clarity, we distinguished the use of the SYRCLE and CAMARADES tools based on the model type and reporting structure of the original meta-analyses. Specifically, the SYRCLE tool was applied when the included meta-analysis assessed basic animal studies with heterogeneous outcomes such as behavioral scores, histological findings, or inflammatory markers. In contrast, the CAMARADES checklist was used when analyzing more structured preclinical models—particularly in neurological and cardiovascular studies—where endpoints such as infarct volume, mNSS, or neurobehavioral scores were commonly and consistently reported. In instances where both tools were used or a modified version was employed, we recorded that distinction accordingly in Table 4.

2.7 Data synthesis

Data were synthesized both narratively and quantitatively to comprehensively evaluate the therapeutic efficacy of MSC-EVs across various diseases, exosome sources, and outcome measures. The synthesis was structured to align with the objectives of the umbrella review, with a particular focus on therapeutic effectiveness, underlying mechanisms of action, and the methodological quality of the included meta-analyses.

A narrative synthesis was performed to describe the diversity of conditions addressed in the included studies, the types and tissue sources of MSC-EVs used, the animal models employed, and the administration routes applied. This synthesis also outlined the primary outcomes assessed, their consistency across studies, and the proposed mechanisms of action, such as anti-inflammatory, anti-apoptotic, and regenerative effects. Findings were organized into comprehensive tables and illustrative figures to facilitate interpretation and comparison. For instance, Table 3 presents a detailed summary of exosome-based therapies across different diseases and conditions, while visual aids such as bar graphs and merged heatmaps were used to depict data trends and outcome distributions.

In the quantitative synthesis, effect sizes, heterogeneity measures, and statistical significance were summarized based on the results reported in the included meta-analyses. Key metrics included SMD, WMD, HR, and OR, all accompanied by 95% confidence intervals. These metrics were typically reported for primary outcomes such as functional recovery scores, wound healing rates, or infarct volume reduction. Heterogeneity across studies was assessed using the I2 statistic, with values greater than 50% considered indicative of substantial variability. Where available, subgroup analyses or sensitivity analyses were reported to explore sources of heterogeneity. Publication bias was evaluated based on the original meta-analyses.

No additional meta-analyses were conducted within this umbrella review, as the aim was to synthesize and evaluate existing meta-analytic evidence rather than generate new pooled estimates. However, reported effect sizes were qualitatively summarized to identify therapeutic trends—for example, MSC-EVs demonstrated high efficacy in preclinical models of stroke and moderate effects in kidney transplantation models.

Because umbrella reviews synthesize findings from published meta-analyses without re-analyzing primary studies, we did not exclude individual studies on the basis of heterogeneity. Instead, we applied a rule-based classification: outcomes were labeled as High effectiveness only when SMD >1.5, p < 0.01, and I2 < 70% in ≥2 independent meta-analyses. Outcomes with I2 ≥ 70% were reclassified as Promising but heterogeneous and interpreted with caution. Sensitivity summaries were added to indicate whether conclusions remained robust after considering only meta-analyses with I2 < 70% and without AMSTAR-2 critical flaws.

Because this is an umbrella review, we did not exclude meta-analyses solely on the basis of high heterogeneity. Instead, we applied a rule-based classification: outcomes were labeled as High effectiveness only when SMD >1.5, p < 0.01, and I2 < 70% in ≥2 independent reviews. Outcomes with I2 ≥ 70% were reclassified as Promising but heterogeneous and interpreted with caution.

2.8 Subgroup and sensitivity analyses

Subgroup analyses reported within the included meta-analyses were extracted to identify factors that may influence the therapeutic efficacy of MSC-EVs. These analyses explored variations based on the source of exosomes—such as bone marrow-derived MSCs (BM-MSCs), adipose-derived MSCs (AD-MSCs), and human umbilical cord-derived MSCs (hUC-MSCs)—as well as animal model characteristics, including species and specific strains used in the experiments. Differences in disease models were also considered, such as contusion versus compression injury models for SCI, to evaluate how pathophysiological variations affect outcomes.

Additional subgroup variables included the route of MSC-EV administration and the timing and dosage of EV delivery. These factors were examined to determine their potential role in modulating therapeutic effectiveness across studies.

Sensitivity analyses conducted within the original meta-analyses were also summarized. These included procedures such as excluding studies with a high risk of bias to test the stability of the main findings, as well as statistical methods like trim-and-fill adjustments to evaluate the impact of publication bias. Together, these subgroup and sensitivity analyses provided important insights into the robustness and generalizability of MSC-EV therapy outcomes across different experimental conditions.

2.9 Ethical considerations

As this study involved no primary data collection or animal experimentation, ethical approval was not required. However, the review considered the ethical conduct of included studies, noting compliance with animal welfare regulations as reported by the meta-analyses.

2.10 Statistical software and tools

Several tools were employed to facilitate data management and ensure methodological consistency throughout the review process. EndNote 20 was used for reference management and to identify and remove duplicate records prior to screening. For data extraction and the creation of summary tables, Microsoft Excel was utilized, offering a structured format to capture and organize information efficiently. Additionally, RStudio was employed to generate heatmap graphs, enabling visual representation of data patterns and relationships derived from the synthesized findings.

No new statistical analyses were performed in this umbrella review, as its primary goal was to synthesize and interpret results from existing meta-analyses. However, statistical metrics reported in the included studies were carefully reviewed and verified for accuracy to ensure the reliability of the synthesized findings.

3 Results

This umbrella review synthesizes findings from 47 meta-analyses evaluating the therapeutic efficacy of MSC-EVs in preclinical animal models across a wide range of diseases and conditions (Table 2). The systematic search identified studies published between 2016 and 2025, covering diverse therapeutic applications, exosome sources, animal models, and outcome measures. The results are organized into subsections to provide a detailed overview of MSC-EV efficacy, mechanisms, sources, and methodological considerations.

TABLE 2

Authors, referenceYearJournalNumber of studiesDisease/
Condition
InterventionExosome sourceAnimal modelOutcomesMain findingsRisk of bias assessment
2024Stem Cell Rev Rep30SepsisMSC-EVsBM, UC, AT, placentaMice, rats, sheepSurvival, organ function, cytokinesImproved survival (HR 0.33, 95% CI 0.27–0.41), reduced organ damage, modulated inflammation. BM-EVs most effectiveHigh certainty (GRADE); low risk (SYRCLE, novel tool)
2022Stem Cell Rev Rep10Diabetic woundsMSC-EVsBM, UC, AT, synovia, othersMice, ratsWound closure, angiogenesis, inflammationEnhanced closure (SMD 5.48, 95% CI 3.55–8.13), angiogenesis, reduced inflammation. RNA-enriched EVs more effectiveUnclear risk (SYRCLE); unclear blinding, randomization
2025Mol Neurobiol35Ischemic strokeMSC-EVsBM, UC, ATRodents, monkeys, ewesMicroglia, cytokinesReduced inflammation, Iba1+, TNF-αModerate-high risk (SYRCLE); 67% moderate, 33% high
2024Heliyon55Traumatic brain injuryMSC-EVsBMMice, ratsNeurological scores, lesion volumeImproved mNSS, MWM; reduced lesion volumeModerate risk (CAMARADES, SYRCLE); mean score 5.75
2023Heliyon7Intrauterine adhesionStem cells EVsUC, BM, AT, othersRats, rabbitsFibrosis, endometrial repairReduced fibrosis, increased embryo numberHigh risk (SYRCLE); publication bias (Egger’s p = 0.005)
2025Lipids Health Dis14NAFLD, NASHMSC-EVsUC, AT, BMMice, ratsLiver markers, cytokinesReduced AST, ALT, TG, NAS, oxidative stressHigh risk (SYRCLE); poor methodology
2023J Pers Med39Liver diseasesMSC-EVsBM, UC, AT, ESCsMice, ratsLiver function, histology, cytokinesReduced damage, inflammationModerate risk (CAMARADES); high heterogeneity
2022Transplant Rev7Kidney transplantationMSC-EVs, immune cell-EVsBM, ATMice, ratsGraft survival, SCr, BUNImmune-EVs more effective than MSC-EVsModerate-high risk (SYRCLE)
2024Stem Cell Rev Rep19AsthmaMSC-EVsBM, UC, AT, iPSCMice, ratsInflammation, airway responsivenessReduced inflammation, hyper-responsiveness. Dose/timing criticalUnclear risk (SYRCLE); publication bias (Egger’s p < 0.05)
2024J Ovarian Res29Primary ovarian insufficiencyMSC-EVsUC, BM, AT, othersMice, ratsFollicle count, hormones, pregnancyImproved follicle number, hormones, pregnancy rateLow quality (SYRCLE); high heterogeneity, bias
2024Mol Cell Probes8Diabetic wound healingMSC-EVsBM, UC, ATMice, ratsWound closure, angiogenesisEnhanced closure, angiogenesisHigh risk (SYRCLE); high heterogeneity, bias
2022Stem Cell Res Ther9Subarachnoid hemorrhageMSC-EVs, MSCsBM, UCMice, ratsNeurobehavior, brain edemaEVs outperformed MSCs in neuroprotectionHigh risk (CAMARADES); high heterogeneity
2023Stem Cell Res Ther11OsteoporosisMSC-EVs, ESC-EVsUC, BM, AT, ESCsMice, ratsBone mass, structureIncreased BMD, microarchitectureHigh risk (SYRCLE); low randomization, blinding
2021Stem Cells Transl Med40Diabetic kidney diseaseMSC-EVs, MSCsBM, UC, ATMice, rats, shrewsRenal function, inflammationReduced creatinine, fibrosis, inflammationLow risk (SYRCLE); strong reporting
2025Biochem Biophys Rep15Chronic kidney diseaseMSC-EVsBM, UC, ATMice, ratsSCr, BUN, renal damageReduced SCr, BUN, inflammationModerate risk (SYRCLE); moderate heterogeneity
2024Arch Acad Emerg Med65SCIMSC-EVsBM, UC, ATMice, ratsLocomotion, neural markersImproved motor recovery, reduced apoptosisModerate risk (SYRCLE); low bias for most outcomes
2022Stem Cell Rev Rep13Bone injuryMSC-EVsBM, UC, AT, dentalMice, ratsBV/TV, bone formationImproved BV/TV, bone formation. Modified EVs no added benefitUnclear risk (SYRCLE); no publication bias
2020Stem Cell Res Ther31Acute kidney injuryMSC-EVsBM, UC, AT, othersMice, ratsSCr, BUN, inflammationImproved SCr, BUN, reduced inflammationUnclear risk (CAMARADES); publication bias adjusted
2024Front Cell Dev Biol25OsteosarcomaMSC-EVsBM, unspecifiedMiceTumor volume, weightEngineered EVs more effective; macrophage EVs promoted growthUnclear risk (SYRCLE); possible bias
2025Stem Cell Res Ther20Erectile dysfunctionMSC-EVsMSC, AT, UCRatsICP/MAP, nNOS, eNOSImproved function, no source/model differenceModerate-high quality (SYRCLE); publication bias
2025Front Pharmacol14Kidney fibrosisMSC-EVsUCRats, miceSCr, BUN, fibrosisReduced fibrosis, inflammation; increased E-CadherinLow-moderate risk (SYRCLE); no bias
2025Front Neurol21Acute SCIMSC-EVsBM, UC, AT, placentaRatsBBB scoresImproved locomotor recovery, reduced inflammationLow risk (SYRCLE); slight publication bias
2022Stem Cell Rev Rep35Chronic kidney diseaseMSC-EVsBM, UC, ATMice, ratsSCr, GFR, fibrosisImproved renal outcomes, miRNA-mediatedUnclear risk (CAMARADES); bias adjusted
2024Cytotherapy40Traumatic SCIStem cell-EVsBM, AT, UC, NSCsRatsBBB scoresImproved motor function (WMD 1.58–4.54); NSCs-EVs most effectiveUnclear risk (SYRCLE); publication bias
2024Stem Cell Rev Rep20Diabetic woundsADSC-EVsATMice, ratsWound closure, angiogenesisEnhanced closure (SMD 4.22, 95% CI 3.07–5.36), angiogenesisUnclear risk (SYRCLE); unclear bias details
2021J Extracell Vesicles11Respiratory diseasesMSC-EVsBM, UC, ATPreclinical modelsInflammation, fibrosisImproved acute/chronic respiratory outcomesNot specified
2024Stem Cells Int12Hemorrhagic strokeStem cell-EVsMSC, ATMice, ratsNeurobehavioral scoresImproved SAH, chronic ICH outcomes (SMD -3.49, 2.38)High quality (CAMARADES); publication bias
2020Respir Res17Acute lung injury/ARDSMSC-EVsBM, UC, AT, neuralMice, rats, pigsLung injury, survivalReduced injury (SMD -4.02), improved survival (OR 6.45)Moderate-high heterogeneity; bias not detailed
2025Front Pharmacol28Knee osteoarthritisMSC-EVsBM, UC, AT, othersRatsCartilage repair, inflammationImproved repair (OARSI SMD -2.97), reduced inflammationModerate quality (SYRCLE); unclear bias reporting
2018Sci Rep43Cardiovascular diseasesEVsMSC, cardiac cellsRodents, pigsCardiac function, inflammationReduced injury, improved function, angiogenesisLow reporting bias; unclear EV characterization
2024Front Pharmacol38Ischemic strokeStem cell-EVsBM, UC, AT, othersMice, ratsInfarct volume, mNSSBMSC-EVs most effective; engineered EVs enhanced efficacyModerate risk (SYRCLE); publication bias
Xun et al. (2022)2022Front Immunol12Multiple sclerosisMSC-EVsBM, UC, AT, dentalMice, ratsClinical scoreImproved symptoms (SMD -2.17); PDLSCs most effectiveUnclear risk (SYRCLE); insufficient reporting
Yang et al. (2023a)2023Neural Regen Res49SCI, TBIMSC-EVsBM, UC, AT, placentaMice, ratsBBB, mNSS, Foot FaultImproved SCI (SMD 4.46), TBI outcomes; reduced inflammationModerate risk (SYRCLE); publication bias
Yang et al. (2022)2022Front Neurosci13Spinal cord injuryMSC-EVs, miRNA-EVsBM, UC, ATRatsBBB scoresmiRNA-EVs improved motor function; contusion models betterLow risk (SYRCLE); publication bias
Yang et al. (2023b)2023Front Neurosci20Traumatic brain injuryEVsMSC, astrocytes, NSCsMice, ratsmNSS, MWMAstrocyte-EVs most effective; improved mNSS, MWM.Uneven quality (SYRCLE); no bias for mNSS.
Ye et al. (2024)2024Front Mol Neurosci30SCIBMSC-EVsBMRatsBBB, inflammation, apoptosisImproved outcomes; dose-response correlationHigh risk (SYRCLE); unclear randomization, blinding
Yi and Wang (2021)2021Open Med35Acute SCIEVsMSC, HUVECs, PC12Mice, ratsBBB, BMSImproved locomotor recovery; intrathecal betterLow risk (SYRCLE); publication bias in BBB.
Yue et al. (2024)2024Front Endocrinol21Type II diabetic woundsMSC-EVsAT, BM, UC, othersMice, ratsWound closure, inflammationImproved healing (SMD >3), reduced inflammationUnclear risk (SYRCLE); publication bias
Zhang et al. (2016a)2016Exp Ther Med13Acute kidney injuryMSC-EVsBM, UC, ATRodentsSCrEVs more effective than CM; early administration betterHigh heterogeneity; no publication bias
Zhang et al. (2016b)2016Stem Cells Int6Myocardial I/R injuryMSC-EVsESC-MSC, othersMice, pigsCardiac functionImproved EF, FS; EVs better than CM.High heterogeneity; no bias analysis
Zhang et al. (2022)2022Neural Plast24Cerebral I/R injuryMSC-EVsBM, UC, ATMice, ratsInfarct volume, neuro scoreReduced infarct, improved neurologyModerate quality (SYRCLE); publication bias
Zhang et al. (2025)2025Brain Res Bull73Ischemic strokeMSC-EVsBM, UC, ATMice, ratsInfarct volume, mNSSReduced infarct, improved function (P < 0.01)High quality (CAMARADES); median score 8/10
Zhou et al. (2023a)2023BMC Oral Health11PeriodontitisMSC-EVsBM, dentalMice, ratsBV/TV, CEJ-ABCImproved BV/TV, reduced CEJ-ABC.Unclear risk (SYRCLE); no bias in key metrics
Zhou et al. (2025)2025J Orthop Surg Res17PeriodontitisMSC-EVsDental, BM, UCMice, rats, beaglesBV/TV, BMD, CEJ-ABCImproved BV/TV (SMD 13.99), BMD; no Tb.Th effectUnclear risk (SYRCLE); high heterogeneity
Zhou et al. (2024)2024Front Pharmacol18Liver fibrosisMSC-EVsBM, UC, ATMice, ratsLiver function, fibrosisImproved function, fibrosis; EVs + drugs betterMixed risk (Cochrane); high heterogeneity
Zhou et al. (2023b)2023Stem Cell Rev Rep28POI, IUAMSC-EVsBM, UC, menstrualMice, ratsAMH, endometrial thicknessImproved AMH, endometrium; better with scaffoldsUnclear risk (SYRCLE); bias for AMH in POI.
Zhu et al. (2025)2025J Transl Med83Skin regenerationMSC-EVsBM, UC, AT, othersMice, ratsWound closure, collagenImproved closure, collagen; ApoSEVs bestLow quality (MISEV2023); high heterogeneity

Descriptive summary of meta-analyses evaluating mesenchymal stem cell-derived extracellular vesicles in preclinical studies.

Abbreviations: MSC-EVs, Mesenchymal stem cell-derived extracellular vesicles; BM, bone marrow; UC, umbilical cord; AT, adipose tissue; SCr, Serum creatinine; BUN, blood urea nitrogen; BBB, basso, Beattie, Bresnahan; mNSS, modified neurological severity score; MWM, morris water maze; SMD, standardized mean difference; HR, hazard ratio; CI, confidence interval; BV/TV, Bone volume/total volume; CEJ-ABC, Cementoenamel junction-alveolar bone crest; NAFLD, Non-alcoholic fatty liver disease; NASH, Non-alcoholic steatohepatitis; IUA, intrauterine adhesion; POI, primary ovarian insufficiency; TBI, traumatic brain injury; SCI, spinal cord injury.

3.1 Therapeutic efficacy across diseases

MSC-EVs demonstrated high therapeutic efficacy across most evaluated diseases, with consistent improvements in functional, histological, and molecular outcomes (Figure 2). The following summarizes key findings by disease category (Figure 3; Supplementary Table S1). MSC-EVs consistently reduced inflammation and apoptosis, while enhancing functional scores and histological repair. Effectiveness was high across most conditions, with bone marrow-derived MSC-EVs (BMSC-EVs) and preconditioned EVs showing superior results, though heterogeneity was moderate to high and risk of bias varied. The classification of therapeutic effectiveness into “high” and “moderate” was based on reported meta-analytic metrics. “High” effectiveness was assigned to outcomes with standardized mean difference (SMD) > 1.5, p < 0.01, and low-to-moderate heterogeneity (I2 < 70%) observed in at least two independent meta-analyses. “Moderate” effectiveness was applied to outcomes with SMD values between 0.8 and 1.5 or when heterogeneity exceeded 70%.

FIGURE 2

FIGURE 3

MSC-EVs exert their therapeutic effects through a range of interconnected biological mechanisms. These mechanisms contribute to the regenerative and protective roles of MSC-EVs in various pathological conditions.

One of the most prominent mechanisms is the anti-inflammatory effect. MSC-EVs were consistently shown to downregulate proinflammatory cytokines such as tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β), and interleukin-6 (IL-6), while simultaneously upregulating anti-inflammatory mediators including interleukin-10 (IL-10) and transforming growth factor-beta 1 (TGF-β1). These immunomodulatory effects were observed across multiple disease models, particularly in stroke, SCI (SCI), acute kidney injury (AKI), and asthma.

Anti-apoptotic effects were also widely reported. MSC-EVs reduced markers of apoptosis, such as caspase-3 and Bax, in neurological, renal, and cardiovascular models. By inhibiting apoptotic pathways, MSC-EVs helped preserve tissue integrity and cell viability in damaged organs.

Functional improvements were another key therapeutic outcome, with enhanced performance in disease-specific scoring systems such as the Basso, Beattie, Bresnahan (BBB) score for SCI, the modified Neurological Severity Score (mNSS) for stroke, and the Osteoarthritis Research Society International (OARSI) score for joint degeneration. These improvements were largely attributed to mechanisms such as neuroregeneration, angiogenesis, and overall tissue repair facilitated by MSC-EVs.

Finally, histological improvements supported the regenerative potential of MSC-EVs. Across studies, MSC-EVs were shown to stimulate collagen deposition, promote angiogenesis and neurogenesis, and reduce fibrosis, lesion size, and tissue damage. These histological changes were particularly evident in models of wound healing, liver fibrosis, and kidney disease, underscoring the broad-spectrum therapeutic action of MSC-EVs across organ systems.

Across conditions such as ischemic stroke, diabetic wounds, SCI, and acute kidney injury, MSC-EVs significantly reduced inflammation, apoptosis, and tissue damage while enhancing functional recovery and histological repair (Table 3). BMSC-EVs, adipose-derived MSC-EVs (ADSC-EVs), and preconditioned EVs showed superior efficacy in conditions like ischemic stroke, diabetic wounds, and multiple sclerosis, with notable improvements in neurovascular repair, wound closure, and clinical scores. However, effectiveness was low in kidney transplantation, where MSC-EVs showed no significant benefit. Consistency across studies was moderate (I2 = 23–95%) for most conditions, with high heterogeneity in bone injury (I2 = 97–98%) and acute kidney injury (I2 = 96%), likely due to variability in animal models, exosome sources, and administration methods. For disease areas where heterogeneity was very high (I2 ≥ 70%), such as bone injury and acute kidney injury, the results were reclassified as Promising but heterogeneous. While these conditions showed large effect sizes, the variability across studies limits certainty in the pooled estimates. For such disease areas with I2 ≥ 70%, outcomes were downgraded to Promising but heterogeneous. While effect sizes were large, the variability across studies limits the certainty of pooled estimates.

TABLE 3

Disease/ConditionNumber of reviewsAnimal modelsExosome sourceaMain outcomesEffectivenessbConsistency (I2)
Acute Kidney Injury1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, othersReduced SCr (MD 0.93, 95% CI 0.67–1.20), BUN, TNF-α; increased IL-10; improved renal functionPromising but heterogeneous (EVs > CM)Low (96%)
Asthma1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, iPSC-MSCsReduced IL-4, eosinophils, collagen, AHR; increased IL-10Promising but heterogeneousModerate (72%–93%)
Bone Injury1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, dental MSCsIncreased BV/TV (22.2%), NBF (26.1%), mTOR/AKT, BMP2 activationPromising but heterogeneousLow (97%–98%)
Cardiovascular Diseases2Mice, rats, pigsBM-MSCs, UC-MSCs, AD-MSCs, CPCs, ESCsReduced infarct size (SMD -5.87, 95% CI -7.07 to −4.67), apoptosis; improved EF (SMD 1.57, 95% CI 0.86–1.26), angiogenesisPromising but heterogeneousModerate (86%–94%)
Chronic Kidney Disease2Mice, ratsBM-MSCs, UC-MSCs, AD-MSCsReduced fibrosis, inflammation; improved GFR, renal functionPromising but heterogeneousModerate (67%–95%)
Diabetic Kidney Disease2Mice, rats, shrewsBM-MSCs, UC-MSCs, AD-MSCs, othersReduced SCr, BUN, fibrosis; increased IL-10; improved histologyPromising but heterogeneousModerate (60%–94%)
Diabetic Wounds2Mice, ratsAD-MSCs, BM-MSCs, UC-MSCs, othersEnhanced closure (SMD 4.22, 95% CI 3.07–5.36), angiogenesis (SMD 9.27, 95% CI 4.70–13.83), collagenPromising but heterogeneous (ADSC-EVs, ApoSEVs best)Moderate-High (39%–88%)
Erectile Dysfunction1RatsMSCs, AD-MSCs, UC-MSCsImproved ICP/MAP, NOS, smooth muscle ratioPromising but heterogeneousModerate (74%–86%)
Hemorrhagic Stroke1Mice, ratsBM-MSCs, AD-MSCs, UC-MSCsImproved neurobehavior in SAH (SMD -3.49, 95% CI -4.23 to −2.75), chronic ICH; reduced apoptosis, inflammationPromising but heterogeneous (SAH, chronic ICH)Moderate (23%–92%)
Intrauterine Adhesion1Rats, rabbitsUC-MSCs, BM-MSCs, AD-MSCs, othersIncreased endometrial thickness (WMD 132.36, 95% CI 118.99–145.74), glands; reduced fibrosisPromising but heterogeneous (HA/collagen enhanced)Moderate (54%–95%)
Ischemic Stroke4Mice, rats, monkeys, ewesBM-MSCs, UC-MSCs, AD-MSCs, NSCs, othersReduced infarct volume (SMD -3.76, 95% CI -4.22 to −3.29), mNSS; enhanced neurovascular repairPromising but heterogeneous (BMSC-EVs best)Moderate (43%–92%)
Kidney Transplantation1Mice, ratsBM-MSCs, AD-MSCsProlonged graft survival; MSC-EVs not significantLow (MSC-EVs)Low (91%–94%)
Knee Osteoarthritis1RatsBM-MSCs, UC-MSCs, AD-MSCs, othersImproved OARSI score (SMD -2.97, 95% CI -3.62 to −2.31), collagen II; reduced IL-1β, TNF-αPromising but heterogeneous (UMSC-EVs best)Moderate (0%–81%)
Liver Diseases1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, othersImproved liver enzymes, reduced fibrosis, inflammationPromising but heterogeneousModerate-High (0%–80%)
Liver Fibrosis1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCsReduced collagen (SMD -2.92, 95% CI -4.76 to −1.08), α-SMA; improved ALT, ASTPromising but heterogeneous (ADSC-EVs, EV + drugs best)Moderate (70%–91%)
Multiple Sclerosis1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, PDLSCsImproved clinical score (SMD -2.17, 95% CI -3.99 to −0.34); reduced inflammationPromising but heterogeneous (PDLSCs best)Moderate (84%)
NAFLD/NASH1Mice, ratsUC-MSCs, AD-MSCs, BM-MSCsReduced liver fat, inflammation; increased SODPromising but heterogeneousNot reported
Osteoporosis1Mice, ratsUC-MSCs, BM-MSCs, AD-MSCsImproved BMD, bone microstructurePromising but heterogeneousLow-Moderate (71%–87%)
Osteosarcoma1MiceBM-MSCs, AD-MSCs, macrophagesReduced tumor volume; macrophage-EVs most effectivePromising but heterogeneousModerate (40%–70%)
Periodontal Regeneration2Mice, rats, beaglesBM-MSCs, UC-MSCs, dental MSCsIncreased BV/TV (WMD 14.07, 95% CI 6.73–21.41), BMD; reduced CEJ-ABCPromising but heterogeneous (preconditioned EVs best)Moderate (36%–99%)
Premature Ovarian Insufficiency1MiceBM-MSCs, UC-MSCs, AD-MSCs, othersImproved AMH (SMD 5.39, 95% CI 3.43–7.36), E2; reduced FSHPromising but heterogeneousModerate (76%–95%)
Respiratory Diseases2Mice, rats, pigsBM-MSCs, UC-MSCs, AD-MSCsReduced lung injury (SMD -4.02, 95% CI -5.28 to −2.23); improved survival (OR 6.45, 95% CI 2.78–14.97)Promising but heterogeneousModerate (67%–95%)
Sepsis1Mice, rats, sheepBM-MSCs, UC-MSCs, AD-MSCsImproved survival, organ function; reduced TNF-α, IL-6Promising but heterogeneousModerate (Not reported)
Spinal Cord Injury4Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, NSCsImproved BBB score (WMD 3.47, 95% CI 3.31–3.63); reduced inflammation, apoptosisPromising but heterogeneous (BMSC-EVs, NSC-EVs best)Moderate (75%–81%)
Subarachnoid Hemorrhage1Mice, ratsBM-MSCs, UC-MSCsImproved neurobehavior; reduced brain edemaPromising but heterogeneousModerate (58%–89%)
Traumatic Brain Injury2Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, astrocytesImproved mNSS (SMD -4.48), MWM; reduced inflammation, lesion volumePromising but heterogeneous (AEVs best early)Moderate (76%–94%)
Wound Healing/Skin Regeneration1Mice, ratsBM-MSCs, UC-MSCs, AD-MSCs, othersImproved closure (SMD 3.60, 95% CI 3.23–3.96), angiogenesis, collagenPromising but heterogeneous (ApoSEVs, ADSC-EVs best)Moderate (82%–85%)

Comprehensive summary of mesenchymal stem cell-derived extracellular vesicles-based therapies across diseases and conditions.

Abbreviations: MSC-EVs, Mesenchymal stem cell-derived extracellular vesicles; BM-MSCs, Bone marrow MSCs; UC-MSCs, Umbilical cord MSCs; AD-MSCs, Adipose tissue MSCs; SCr, Serum creatinine; BUN, blood urea nitrogen; BBB, basso, Beattie, Bresnahan; mNSS, modified neurological severity score; MWM, morris water maze; SMD, standardized mean difference; WMD, weighted mean difference; CI, confidence interval; BV/TV, Bone volume/total volume; CEJ-ABC, Cementoenamel junction-alveolar bone crest; AHR, Airway hyper-responsiveness; AMH, Anti-Müllerian hormone; NAFLD, Non-alcoholic fatty liver disease; NASH, Non-alcoholic steatohepatitis; ICH, intracerebral hemorrhage; SAH, subarachnoid hemorrhage.

a

Administration routes are summarized by disease model; CNS, models frequently employed intrathecal or intranasal delivery, whereas local injection/hydrogel strategies were common in wound and periodontal models.

b

High effectiveness required SMD >1.5, p < 0.01, and I2 < 70% in ≥2 independent meta-analyses. Outcomes with I2 ≥ 70% were reclassified as Promising but heterogeneous.

Administration routes varied substantially across conditions. Intravenous delivery was the predominant method in most disease models, including renal and hepatic injury. For CNS models such as spinal cord injury and ischemic stroke, intrathecal, intranasal, or intracerebroventricular administration was frequently used and, in some cases, demonstrated greater efficacy by enabling direct delivery across the blood–brain barrier. For local diseases such as diabetic wounds and periodontal regeneration, local injections or hydrogel/scaffold-based delivery systems were commonly applied, supporting tissue retention and enhancing therapeutic benefit. These findings, summarized in Table 4, indicate that administration route is an important factor influencing MSC-EV efficacy and should be tailored to the target organ and disease.

TABLE 4

Author(s) (Year) (references)MSC sourceEV doseAdministration routeDose unitDose-response studied
BM-MSCs
UC-MSCs
AD-MSCs
2 μg–300 µg
1 × 108 to 1 × 1011 particles
IV
IP
IT
µg
Particle number
Not
Various tissues10–200 µg
1.83 × 1010–5.22 × 1010 particles
Hydrogel
Intradermal
SC
Direct injection
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
Single or multiple bolus
various time points (0–168 h post-ischemia)
IV
IC
IN
Intraarterial
Others
Not uniformly reported (µg or particle number)Yes
BM-MSCs20–100 μg EV protein (injected daily for 3–7 days)
1.6–4.2 × 108 particles
IV
IN
Local injection
µg
Particle number
Partially
BM-MSCs
UC-MSCs
AD-MSCs
uMSCs
MenSCs
25–100 µg (mass)
0.25–0.5 mL (volume)
2.13 × 107· particles
Intrauterine
IV
µg
mL
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
30–200 µg or ∼1 × 109 particlesIVµg
Particle number
Yes
BM-MSCs
AD-MSCs
9.6–11.7 µg
1–1.4 × 109 particles
10 µg
IV
Intrasplenic
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
ESC-MSCs
100–500 µg per injectionIV
Local injection
µgNot
BM-MSCs
UC-MSCs
AD-MSCs
iPSC-MSCs
20–100 µg
1 × 109 to 5 × 105 particles
mostly single or 2-dose regimens
IV
IN
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
iPSC-MSCs
AF-MSC
10 μg–400 µg
total dose ranged from 10 to 1200 µg
IV
Intra-ovarian
IP
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
Varied from 30 to 150 µg
∼1.8 × 1010 to 5.2 × 1010 particles
Local SC
Hydrogel
µg
Particle number
Not
BM-MSCs
UC-MSCs
100 µg
200–400 µg
2 × 105 MSCs
IV
ICV
IN
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
ESC-MSCs
20–200 µg
∼1–5 × 109
IV
Local injection
µg
Particle number
Yes
BM-MSCs
UC-MSCs
AD-MSCs
40–200 µg protein per dose
1 × 109–1 × 1011 particles
IV
IP
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
PSC-MSCs
20–250 µg protein
1 × 105–1 × 1011 particles
IV
IM
IP
IC
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
20–150 µg
5 × 109 × 1010 particles
IV
IT
Direct spinal cord
µg
Particle number
Yes
BM-MSCs
AD-MSCs
UC-MSCs
Dental MSCs
1–200 µg or 1–1000 × 108 particlesLocal implantation (hydrogel/scaffold)
Local injection
IV
µg
Particle number
Not
BM-MSCs
UC-MSCs
WJ-MSCs
AD-MSCs
UVECs
100 µg (20–200 µg)
2–5 × 1010 particles
IV
Renal capsule
µg
Particle number
Yes
BM-MSCs
UC-MSCs
AD-MSCs
30–150 µg
1 × 109 × 1011 particles per dose
IV
IN
ICV
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
25–100 µg per dose
occasional studies used 1 × 1010 particles
Corpus cavernosum
IV
µg
Particle number
Not
UCB-MSCs1 × 104 to 1 × 106IV
IP
Particle numberYes
BM-MSCs
UC-MSCs
AD-MSCs
Placenta- MSCs
20–200 µg
1 × 109 to 2 × 1010 particles per dose
IV
IT
Local injection
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
30–200 µg
1 × 109–2 × 1010 particles per dose
IV
Renal capsule
µg
Particle number
Not
BM-MSCs
AD-MSCs
UC-MSCs
NSCs
40–200 µg per doseIVµgNot
AD-MSCs10–200 µg per dose
1 × 109–2 × 1010 particles; mostly single dose
SC
Hydrogel/dressing delivery
µg
Particle number
Yes
BM-MSCs
AD-MSCs
UC-MSCs
50–250 µg
1 × 109 × 1011 particles
SC
Topical
IV
µg
Particle number
Partially
BM-MSCs
UC-MSCs
AD-MSCs
WJ-MSCs
10–100 µg protein
1 × 105–108 particles
IV
IT
Intratracheal
µg
Particle number
Not
BM-MSCs
UC-MSCs
AD-MSCs
20–400 µg protein
3 × 106 cells equivalent
IV
Intraventricular
µg
Cell-equivalent
Yes
UC-MSCs
BM-MSCs
30–200 µg
1 × 109–1 × 1010 particles per injection
IV
IN
µg
Particle number
Not
BM-MSCs30–100 µg per injectionIV
Local injection
µgNot
BM-MSCs
UC-MSCs
AD-MSCs
iPSC-MSCs
10–300 µg
2 × 106–3 × 1011 particles
10–200 μg/kg
800 ng-100 µg
IV
IN
Intracerebral
µg
µg/kg
Particle number
Yes
Xun et al. (2022)UC-MSCs
AD-MSCs
100–300 µg
1 × 109 to 2 × 1010 particles
IV
IN
µg
Particle number
Partially
Yang et al. (2022)BM-MSCs
AD-MSCs
100–700 µgIV
Intrathecal
µgYes
Yang et al. (2023a)BM-MSCs
UC-MSCs
AD-MSCs
NSCs
3–200 µg
3 × 1010 particles
1.5 × 106 cells
IV
Intraventricular
Retroorbital
µg
Particle number
Cell-based equivalent
Yes
Yang et al. (2023b)BM-MSCs
UC-MSCs
AD-MSCs
Placenta-MSCs
100 µg
20–400 µg
1 × 109–3 × 1011 particles
IV
IT
IN
Retroorbital
ICV
µg
Particle number
Yes
Ye et al. (2024)BM-MSCs100 µg per injection
100–500 µg
IV
IT
µgYes
Yi and Wang (2021)BM-MSCs
UC-MSCs
AD-MSCs
NSCs
EF-MSCs
10–700 µg per injection
200 μg/mL
5 × 1010 particles
IV
IT
IN
Intracerebral
Retroorbital
µg
µg/mL
Particle number
Yes
Yue et al. (2024)BM-MSCs
UC-MSCs
AD-MSCs
10–200 µg per injection
1 × 109 to 2 × 1010 particles
SC
Intradermal
Hydrogel-assisted topical delivery
µg
Particle number
Not
Zhang et al. (2016a)BM-MSCs
UC-MSCs
AD-MSCs
10–200 µg per doseIVµgNot
Zhang et al. (2016b)ESC-MSCs
BM-MSCs
100–200 µgIVµg
CM-equivalent
Not
Zhang et al. (2022)BM-MSCs
UC-MSCs
AD-MSCs
50–200 µg
1 × 109–2 × 1010 particles
IV
IN
µg
Particle number
Yes
Zhang et al. (2025)BM-MSCs
UC-MSCs
AD-MSCs
100 µg
Up to 300 µg
IV
Local cerebral injection
µgYes
Zhou et al. (2023a)BM-MSCs
Dental MSCs
100–300 µg
1 × 109–2 × 1010 particles
Local gingival injection
IV
Scaffold implantation
µg
Particle number
Not
Zhou et al. (2023b)BM-MSCs
Dental MSCs
100 µg
1.5 × 109 particles
Local injectionµg
Particle number
Not
Zhou et al. (2024)BM-MSCs
UC-MSCs
AD-MSCs
TMSC
AMSCs
40–400 µg
100–250 µg
IV
IP
Liver lobe injection
µgYes
Zhou et al. (2025)BM-MSCs
UC-MSCs
MenSCs
10–100 µg per injectionIntrauterine
IV
µgNot
Zhidu et al. (2024)PDLSCs
DPSCs
SCAPs
SHEDs
50–300 µg
1 × 109–2 × 1010 particles
Bone defect implantation
Local injection
µg
Particle number
Not
Zhu et al. (2025)BM-MSCs
UC-MSCs
AD-MSCs
30–200 µg
1 × 109–2 × 1010 particles
Topical hydrogel
SC
µg
Particle number
Yes

Overview of mesenchymal stem cell-derived extracellular vesicle (MSC-EV) dosing strategies, sources, administration routes, dose units, and evaluation of dose-response effects in preclinical meta-analyses.

Abbreviations: MSC, mesenchymal stem cell; BM-MSCs, Bone Marrow-Derived Mesenchymal Stem Cells; UC-MSCs, Umbilical Cord-Derived Mesenchymal Stem Cells; AD-MSCs, Adipose Tissue-Derived Mesenchymal Stem Cells; WJ-MSCs, Wharton’s Jelly-Derived Mesenchymal Stem Cells; UCB-MSCs, Umbilical Cord Blood-Derived Mesenchymal Stem Cells; AF-MSCs, Amniotic Fluid-Derived Mesenchymal Stem Cells; ESC-MSCs, Embryonic Stem Cell-Derived Mesenchymal Stem Cells; IV, intravenous; IP, intraperitoneal; IT, intrathecal; IC, intracardiac; IN, intranasal; ICV, intracerebroventricular; IM, intramuscular; iPSC-MSCs, Induced Pluripotent Stem Cell-Derived Mesenchymal Stem Cells; PSC-MSCs, Pluripotent Stem Cell-Derived Mesenchymal Stem Cells; NSCs, Neural Stem Cells; EF-MSCs, Endometrial Fibroblast-Derived Mesenchymal Stem Cells; Dental MSCs, Dental Tissue-Derived Mesenchymal Stem Cells; DPSCs, Dental Pulp Stem Cells; SHEDs, Stem Cells from Human Exfoliated Deciduous Teeth; SCAPs, Stem Cells from Apical Papilla; PDLSCs, Periodontal Ligament Stem Cells; TMSCs, Tonsil-Derived Mesenchymal Stem Cells; AMSCs, Amniotic Membrane-Derived Mesenchymal Stem Cells; MenSCs, Menstrual Blood-Derived Mesenchymal Stem Cells; uMSCs, Uterine-Derived Mesenchymal Stem Cells; Placenta-MSCs, Placenta-Derived Mesenchymal Stem Cells; SC, subcutaneous.

Across the included meta-analyses, MSC-EV doses varied widely depending on disease model, administration route, and MSC source. The reported doses ranged from as low as 2 μg to as high as 700 μg of EV protein per injection, or from 1 × 105 to 1 × 1011 particles per dose. Most studies administered EVs intravenously, although intranasal, intrathecal, subcutaneous, intrauterine, and local delivery via hydrogels or scaffolds were also frequently reported. A new supplementary table (Table 4) was created to summarize these dosing parameters, including dose units, routes, and whether dose-response relationships were investigated. Among the reviewed studies, approximately one-third conducted some form of dose-response assessment, with 100 μg per injection emerging as a commonly effective dose across multiple conditions, including spinal cord injury, ischemic stroke, and diabetic wound healing.

To integrate the evidence across sources and disease categories, we created a Bubble chart (Figure 4) mapping MSC-EV sources against disease models. This visualization includes only meta-analyses with AMSTAR-2 high or moderate confidence and I2 < 70%. Cells indicate the number of supporting meta-analyses, with darker shading representing stronger evidence. Hollow dots mark disease–source pairs where evidence exists but heterogeneity was high (I2 ≥ 70%). This figure highlights consistent support for BM-MSC-EVs in neurological diseases (stroke, SCI), AD-MSC-EVs in diabetic wound healing, and UC-MSC-EVs in musculoskeletal and periodontal regeneration.

FIGURE 4

3.2 Exosome source and therapeutic efficacy

The therapeutic efficacy of MSC-EVs varied notably depending on their cellular source (Table 5). Among the sources, BM-MSCs were the most extensively studied, with approximately 308 studies. These EVs demonstrated high effectiveness across multiple conditions, including ischemic stroke, SCI, acute kidney injury, and cardiovascular diseases. BMSC-EVs were particularly effective in reducing infarct size, improving neurological function scores, and promoting neuroregeneration.

TABLE 5

Stem cell sourceNumber of studiesCommon disease targetsKey outcomesReported efficacy
Bone Marrow (BM-MSC)308Ischemic Stroke, IUA, TBI, Diabetic Wounds, Kidney Transplantation, Liver Diseases, NAFLD/NASH, SAH, Osteoporosis, DKD, SCI, Bone Injury, Osteosarcoma, AKI, CKD, POI, Asthma, Hemorrhagic Stroke, ALI/ARDS, Knee OA, MS, Cardiovascular Diseases, Periodontal Regeneration, Wound Healing, Liver FibrosisReduced cerebral infarct volume (SMD -3.76), mNSS (SMD -2.11), SCr (MD -0.93 mg/dL), inflammation (TNF-α, IL-6, IL-1β; SMD -3.12), apoptosis (SMD -4.52), fibrosis, ALT, AST; improved AMH (SMD 5.39), BV/TV (WMD 14.07%), BBB score (WMD 3.47), wound closure (SMD 3.60), angiogenesis (SMD 4.64), EF (SMD 1.57)High (less effective for kidney transplantation, acute/subacute ICH; best for revascularization)
Adipose Tissue (AD-MSC)154Ischemic Stroke, IUA, Diabetic Wounds, Sepsis, Kidney Transplantation, Liver Diseases, NAFLD/NASH, Osteoporosis, DKD, SCI, Bone Injury, Osteosarcoma, AKI, ED, CKD, Asthma, Hemorrhagic Stroke, ALI/ARDS, Knee OA, MS, Cardiovascular Diseases, TBI, POI, Wound Healing, Liver FibrosisReduced inflammation (IL-6, TNF-α; SMD -2.30), cerebral infarct volume (SMD -3.76), SCr (MD -0.93 mg/dL), fibrosis, ALT, AST; improved wound closure (SMD 4.22), angiogenesis (SMD 4.64), AMH (SMD 5.39), BBB score (SMD -3.29), GFRHigh (most effective for angiogenesis, wound closure; less effective for SCI, acute/subacute ICH)
Umbilical Cord (hUC-MSC)119Ischemic Stroke, IUA, Diabetic Wounds, Sepsis, Liver Diseases, NAFLD/NASH, SAH, Osteoporosis, DKD, SCI, Bone Injury, AKI, CKD, POI, Asthma, Hemorrhagic Stroke, ALI/ARDS, Knee OA, MS, Cardiovascular Diseases, TBI, Periodontal Regeneration, Wound Healing, Liver FibrosisReduced inflammation (IL-6, TNF-α; SMD -2.30), cerebral infarct volume (SMD -3.76), SCr (MD -0.93 mg/dL), fibrosis, ALT, AST; improved AMH (SMD 5.39), wound closure (SMD 3.60), angiogenesis (SMD 4.64), BBB score (SMD -3.29), EF (SMD 1.57)High (most effective for knee OA, periodontal regeneration)
Menstrual Blood (MenSC)6IUA, Diabetic Wounds, Liver Diseases, POI, Wound HealingReduced fibrosis, inflammation, ALT, AST; improved wound closure (SMD 3.60), angiogenesis, AMH, E2, pregnancy oddsHigh
Uterus (uMSC)1IUAReduced fibrosis; increased gland numberHigh
Synovial (SMSC)6Diabetic Wounds, Knee OA, Wound HealingReduced IL-1β, TNF-α, MMP-13; improved wound closure (SMD 3.60), angiogenesis, OARSI score, type II collagen, aggrecan, IL-10High (superior for knee OA)
Decidua MSCs2Diabetic Wounds, Wound HealingReduced inflammation (IL-6; SMD -2.30); improved wound closure (SMD 3.16), angiogenesis (SMD 4.64), re-epithelialization (SMD 4.68)High
Gingival MSCs3Diabetic Wounds, Type II Diabetic Wounds, Periodontal RegenerationReduced inflammation (IL-6; SMD -2.30); improved wound closure (SMD 3.16), angiogenesis (SMD 4.64), BV/TV (WMD 14.07%), CEJ-ABC (WMD -0.12 mm)High
Amniotic (AMSC)4Liver Diseases, Wound HealingReduced ALT, AST, fibrosis; improved wound closure (SMD 3.60), angiogenesis, collagen depositionHigh
Tonsil (TSC)1Liver DiseasesReduced ALT, AST, fibrosisHigh
Placental (hPMSC)6NAFLD/NASH, SCI, Asthma, Wound HealingReduced AST, ALT, inflammation, BALF IL-4; improved locomotion (BBB), neuro-regeneration, wound closure (SMD 3.60), angiogenesisHigh
Urine-Derived (USC)7Osteoporosis, DKD, ED, CKDReduced SCr, BUN, inflammation; improved BMD, BV/TV, ICP/MAP, nNOS, eNOS, GFRHigh
Wharton’s Jelly (hWJMSC)2SCI, AKIReduced inflammation, SCr, BUN, TNF-α; improved locomotion (BBB), neuro-regeneration, IL-10High
Dental Pulp (DPSC)5SCI, Knee OA, Ischemic Stroke, Periodontal RegenerationReduced IL-1β, TNF-α, cerebral infarct volume; improved locomotion (BBB), OARSI score, BV/TV (WMD 14.07%), type II collagen, IL-10High
Mouse Umbilical Cord (mUCMSC)1SCIReduced inflammation, GFAP; improved locomotion, neuro-regenerationHigh
Kidney-Derived (KMSC)2AKIReduced SCr, BUN, TNF-α, apoptosis; increased IL-10High
Human Liver Stem Cell (HLSC)3AKI, CKDReduced SCr, BUN, TNF-α, apoptosis; increased IL-10, GFRHigh
Human Umbilical Cord Blood (hUCB-MSC)8DKD, CKD, EDReduced SCr, BUN, inflammation, fibrosis; improved IL-10, E-Cadherin, ICP/MAP, nNOS, eNOS, GFRHigh
Muscle-Derived Stem Cells (MDSC)1EDImproved ICP/MAP, nNOS, eNOS, smooth muscle/collagen ratioHigh
Amniotic Fluid (AF-MSC)11CKD, POI, Knee OAReduced IL-1β, TNF-α, SCr, BUN; improved OARSI score, type II collagen, GFR, AMH, E2, pregnancy oddsHigh
Induced Pluripotent Stem Cell (iPSC-MSC)6POI, Asthma, Wound HealingReduced BALF IL-4; improved follicle count, AMH, E2, pregnancy odds, wound closure (SMD 3.60), angiogenesisHigh
Clonal MSC (H-cMSC)1POIImproved follicle count, AMH, E2, pregnancy oddsHigh
Periodontal Ligament (PDLSC)9MS, Periodontal RegenerationReduced inflammation (IL-17, IFN-γ, IL-1β), microglial activation; improved clinical score (SMD -2.17), BV/TV (WMD 14.07%), remyelination, TregsHigh (most effective for MS)
Neural Stem Cell (NSCEVs)12TBI, SCIReduced inflammation; improved mNSS (MD -2.0), BBB score (SMD 0.91), neuro-regenerationHigh (early effect in SCI)
Dental Follicle Stem Cells (DFSCs)2Periodontal RegenerationImproved BV/TV (WMD 14.07%), BMD (SMD 0.29); reduced CEJ-ABC (WMD -0.12 mm), Tb.Sp (SMD -0.08)High (effective for bone regeneration)
Stem Cells from Human Exfoliated Deciduous Teeth (SHEDs)2Periodontal RegenerationImproved BV/TV (WMD 14.07%), BMD (SMD 0.29); reduced CEJ-ABC (WMD -0.12 mm), Tb.Sp (SMD -0.08)High (effective for bone regeneration)
Apical Papilla Stem Cells (SCAPs)1Periodontal RegenerationImproved BV/TV (SMD 13.99), BMD (SMD 0.29); reduced CEJ-ABC (SMD -0.22), Tb.Sp (SMD -0.08)High (effective for bone regeneration)
Hair Follicle MSCs1Wound HealingImproved wound closure (SMD 3.60), angiogenesis, collagen depositionHigh (superior for wound closure in diabetic models)
Oral Mucosa Lamina MSCs3Wound HealingImproved wound closure (SMD 3.60), angiogenesis, collagen depositionHigh
Orbicularis Oculi Muscle MSCs1Wound HealingImproved wound closure (SMD 3.60), angiogenesis, collagen depositionHigh

Comprehensive analysis of mesenchymal stem cell-derived extracellular vesicles sources and their therapeutic efficacy across diseases.

AD-MSCs, represented in about 154 studies, showed the highest efficacy in the treatment of diabetic wounds. These EVs promoted angiogenesis and accelerated wound closure, and also demonstrated consistent therapeutic benefits in models of liver fibrosis and chronic kidney disease.

hUC-MSCs, reported in around 119 studies, were most effective in models of knee osteoarthritis, periodontal tissue regeneration, and skin wound healing. hUC-MSC-EVs consistently reduced inflammation and improved functional outcomes across various disease models.

EVs derived from other MSC sources, such as menstrual blood, synovial tissue, and dental pulp, were less frequently studied but showed high therapeutic potential in specific conditions. For example, EVs from menstrual blood and synovial MSCs were effective in intrauterine adhesion and osteoarthritis, respectively, while periodontal ligament-derived EVs showed strong efficacy in models of multiple sclerosis and periodontal regeneration.

Notably, modified or engineered EVs—such as those loaded with specific microRNAs or preconditioned under hypoxic conditions—often outperformed their native counterparts. These engineered vesicles showed enhanced efficacy in models of stroke, SCI, and diabetic wounds. The method of EV delivery also influenced outcomes to some extent; while hydrogels and scaffold-based approaches were used in several studies, no delivery method demonstrated consistent superiority over direct injection.

3.3 Methodological quality and risk of bias

The methodological rigor of the included meta-analyses and their underlying primary studies revealed several key challenges (Table 6). Most reviews reported a moderate to high risk of bias, assessed using tools such as SYRCLE and CAMARADES. Common methodological shortcomings included unclear random sequence generation, lack of blinding of personnel and outcome assessors, and insufficient details regarding allocation concealment. Furthermore, publication bias was detected in several high-interest disease models—including stroke, SCI, and diabetic wounds—although many findings remained robust after trim-and-fill adjustments. Across the included reviews, the most frequent biases were inadequate or unclear random sequence generation, lack of blinding of investigators and outcome assessors, and insufficient allocation concealment. These issues were consistently reported in the majority of meta-analyses and represent systemic weaknesses in preclinical MSC-EV research.

TABLE 6

Authors, referenceTool usedOverall RoB ratingMost common biasesa
Novel ToolUnclearMethodological heterogeneity, data extraction limitations
SYRCLEUnclearUnclear randomization, allocation concealment, blinding
SYRCLEModerate-HighAllocation, blinding, random housing
CAMARADESModerateSample size calculation, allocation concealment, blinding
SYRCLEHighAllocation concealment, performance bias, detection bias
SYRCLEModerateAllocation sequence, blinding, baseline similarity
CAMARADESModerateSample size calculation, blinding, random outcome assessment
SYRCLEHighSelection bias (random allocation), attrition bias
SYRCLEModerateBlinding, allocation concealment, random outcome assessment
SYRCLELowSequence generation, allocation concealment, blinding
SYRCLEModerateBlinding, allocation concealment
CAMARADESModerateSample size calculation, blinded SAH induction
SYRCLEModerateAllocation concealment, blinding, random outcome assessment
SYRCLEModerateAllocation concealment, blinding, random housing, outcome assessment
SYRCLEModerateBlinding, allocation concealment, random housing
SYRCLEModerateAllocation concealment, blinding, random housing, outcome assessment
SYRCLEUnclearBlinding, allocation concealment, selective reporting, randomization
CAMARADESModerateSample size calculation, blinded model induction, blinded outcome assessment
SYRCLEUnclearBlinding, random outcome assessment, allocation concealment
Custom (9 criteria)High-ModerateBlinding, sample size calculation, follow-up duration
SYRCLEModerateAllocation concealment, blinding, randomization
SYRCLELowMinor issues in randomization, blinding
CAMARADESModerateRandomization, blinded outcome assessment, conflict of interest statement
SYRCLEHighUnclear randomization, allocation concealment, limited blinding (25/40 studies)
SYRCLEUnclearLack of randomization details, unclear allocation concealment, no blinding
SYRCLEModerateUnclear randomization, allocation concealment, partial blinding of outcome assessors
CAMARADESHighLack of blinding, no sample size calculation, unclear random housing
SYRCLEModerateUnclear randomization, allocation concealment, lack of blinding, variable assessment
SYRCLEModerateUnclear randomization (24/28 studies), allocation concealment, limited blinding
SYRCLEModerateUnclear randomization, allocation concealment, limited blinding, variable EV reporting
SYRCLEModerateUnclear randomization (32/38 studies), allocation concealment, limited blinding
Xun et al. (2022)SYRCLEUnclearUnclear randomization, allocation concealment, blinding, incomplete outcome reporting
Yang et al. (2023a)SYRCLEModerateUnclear randomization, allocation concealment, limited blinding, uneven study quality
Yang et al. (2022)SYRCLEUnclearUnclear attrition bias, selective reporting (92% unclear), publication bias
Yang et al. (2023b)SYRCLEModerateUnclear randomization, allocation concealment, high heterogeneity (I2 = 94% for mNSS)
Ye et al. (2024)SYRCLEUnclearUnclear randomization (29/30 studies), blinding, allocation concealment, publication bias
Yi and Wang (2021)SYRCLEUnclearUnclear randomization, blinding, publication bias for BBB scores (Egger’s p = 0.00)
Yue et al. (2024)SYRCLEUnclearUnclear randomization, allocation concealment, blinding, publication bias (Egger’s p = 0.000)
Zhang et al. (2016a)SYRCLEUnclearUnclear randomization, allocation concealment, blinding, no publication bias
Zhang et al. (2016b)SYRCLEUnclearUnclear randomization, allocation concealment, blinding, potential publication bias
Zhang et al. (2022)SYRCLEModerateUnclear randomization (22/24 studies), no allocation concealment, publication bias
Zhang et al. (2025)CAMARADESModerateSample size calculation, unclear randomization, blinding
Zhou et al. (2023a)SYRCLE, NIHUnclearUnclear randomization, limited blinding, publication bias for AMH
Zhou et al. (2025)CochraneUnclearUnclear randomization, allocation concealment, blinding, incomplete outcome data
Zhou et al. (2024)SYRCLEUnclearUnclear randomization, allocation concealment, lack of blinding
Zhou et al. (2023b)SYRCLEUnclearUnclear allocation concealment, blinding, high risk for random housing
Zhu et al. (2025)SYRCLEUnclearUnclear randomization, allocation concealment, blinding, poor dose reporting

Comprehensive summary of risk of bias assessments in meta-analysis of mesenchymal stem cell-derived extracellular vesicles-based studies.

a

Common recurring issues across studies were unclear randomization procedures, lack of blinding, and poor allocation concealment.

In terms of methodological quality, all included meta-analyses received a moderate AMSTAR 2 rating (Figure 5; Supplementary Table S2). This was primarily due to high heterogeneity (with I2 values ranging from 35% to 99%) and limited reporting of essential methodological components such as randomization procedures and blinding. Important methodological shortcomings were identified in several studies, particularly incomplete or unclear risk of bias assessments and lack of consideration for publication bias. Where AMSTAR-2 critical domains were rated ‘No,’ these reviews were classified as low or critically low confidence.

FIGURE 5

Heterogeneity was a significant concern across the dataset, with I2 values often exceeding 70%. This variability was largely attributed to differences in animal models, MSC sources, EV dosages, and delivery routes. Despite this, sensitivity and subgroup analyses frequently confirmed the robustness of results, suggesting that the therapeutic effects of MSC-EVs were consistent across different experimental conditions.

4 Discussion

4.1 Therapeutic efficacy and clinical implications

The review suggests that MSC-EVs exhibit high efficacy across multiple disease categories, including neurological, renal, wound healing, liver, musculoskeletal, respiratory, and reproductive disorders. Notably, MSC-EVs consistently reduced inflammation and apoptosis while promoting tissue regeneration, angiogenesis, and functional recovery. For instance, in ischemic stroke, MSC-EVs reduced cerebral infarct volume (SMD -3.76) and improved neurological scores (mNSS; SMD -2.11), with BMSC-EVs showing superior efficacy (Zhao et al., 2023). Similarly, in diabetic wounds, adipose-derived EVs (ADSC-EVs) accelerated wound closure (SMD 4.22) and enhanced angiogenesis (SMD 9.27), highlighting their potential in regenerative medicine ().

These findings align with the broader literature on MSC-EVs, which emphasizes their role as bioactive mediators carrying microRNAs, proteins, and lipids that modulate cellular processes. The high efficacy observed in conditions like SCI and traumatic brain injury, where MSC-EVs improved locomotor scores (BBB; WMD 3.47) and cognitive outcomes (mNSS; SMD -4.48), underscores their neuroprotective and regenerative capabilities (; Ye et al., 2024). The ability of MSC-EVs to outperform conditioned medium in acute kidney injury (; Zhang G. et al., 2016) and to match or exceed MSC-based therapies in subarachnoid hemorrhage () further supports their therapeutic advantage, likely due to their stability, low immunogenicity, and ability to cross biological barriers.

The clinical implications are significant. MSC-EVs offer a cell-free therapeutic approach that circumvents challenges associated with MSC transplantation, such as immune rejection and tumorigenic risks. Their efficacy in diverse preclinical models suggests potential for broad clinical applications, particularly in conditions with high unmet needs, such as stroke, SCI, and diabetic complications. However, the variability in efficacy across diseases highlights the need for disease-specific optimization of EV sources, dosing, and delivery methods.

4.2 Exosome source and optimization

The review reveals that exosome source significantly influences therapeutic outcomes. AD-MSC-EVs excelled in wound healing, particularly diabetic wounds, where they promoted angiogenesis and collagen deposition, while BM-MSC-EVs demonstrated superior effects in neurological models. hUC-MSCs showed superior efficacy in knee osteoarthritis and periodontal regeneration, possibly due to their high proliferative capacity and immunomodulatory properties.

Emerging sources, such as periodontal ligament (PDLSCs) for multiple sclerosis (Xun et al., 2022) and menstrual blood (MenSCs) for intrauterine adhesion (), demonstrated high efficacy despite fewer studies, suggesting untapped potential. Modified EVs, such as miRNA-loaded or hypoxia-pretreated EVs, consistently outperformed native EVs, as seen in SCI (; ; Yang et al., 2024) and stroke (; ), where engineered EVs enhanced functional recovery by targeting specific pathways. These findings align with recent studies emphasizing the role of EV cargo engineering in enhancing therapeutic specificity.

Delivery methods also influenced outcomes. Intravenous and intrathecal routes were most common, with intrathecal administration showing superior efficacy in SCI. Hydrogels and scaffolds improved outcomes in some contexts, but their benefit was not universal, as seen in diabetic wounds where non-hydrogel methods were equally effective (; ). These observations underscore the need for tailored delivery strategies based on disease pathophysiology and target tissue.

The administration route is another determinant of therapeutic outcomes. While intravenous delivery remains the most frequently used method, it may not be optimal for all disease contexts. For CNS conditions, intrathecal and intranasal delivery were more effective in bypassing the blood–brain barrier and enhancing neuroprotective outcomes. For local pathologies, such as wounds and periodontal disease, local injection and hydrogel-mediated delivery improved retention and tissue-specific effects. These observations underscore the need for future preclinical and clinical studies to systematically evaluate route-dependent biodistribution and efficacy of MSC-EVs.

This crosswalk illustrates the concentration of higher-quality evidence, showing clear clusters of BM-MSC-EVs with neurological models, AD-MSC-EVs with wound healing, and UC-MSC-EVs with musculoskeletal and periodontal regeneration. These patterns emphasize the importance of tailoring MSC-EV source selection to disease context.

4.3 Considerations on MSC-EV dose optimization

One critical but under-addressed variable in MSC-EV therapy is dosing strategy. Our umbrella review found substantial variability in reported doses, with most studies using a fixed dose (often 100 μg) without justification or titration. While several studies—such as those on SCI, stroke, and reproductive models—performed subgroup or network meta-analyses to examine dose-response relationships, the overall evidence remains fragmented and underpowered. In some cases, 100–200 μg was reported as optimal for neuroprotection or tissue regeneration, yet other studies used much higher doses (up to 700 μg) or particle-based quantifications (1 × 109 to 1011 particles).

The lack of standardized dosing metrics (mass vs. particle count), inconsistent reporting of EV characterization, and variable injection regimens further complicate cross-study comparisons. Notably, some studies administered EVs via specialized delivery systems, which could enhance local bioavailability and reduce systemic loss. However, head-to-head comparisons across these delivery platforms remain limited.

To support clinical translation, future preclinical trials should incorporate formal dose-response analyses, adopt standardized reporting in line with MISEV2023 guidelines, and evaluate pharmacokinetics and tissue distribution in parallel with efficacy outcomes ().

4.4 Mechanisms of action

The therapeutic effects of MSC-EVs are mediated through multiple mechanisms, including anti-inflammatory, anti-apoptotic, and regenerative pathways (). The consistent reduction in proinflammatory cytokines and upregulation of IL-10 across diseases like asthma, sepsis, and liver fibrosis highlight their immunomodulatory role. In neurological disorders, MSC-EVs reduced neuronal apoptosis and promoted neurogenesis and axonal regeneration, contributing to functional recovery (). In wound healing, enhanced angiogenesis and collagen deposition were driven by EV-mediated delivery of growth factors and microRNAs ().

These mechanisms are consistent with the literature, which attributes MSC-EV efficacy to their cargo of bioactive molecules, including miRNAs, proteins, and lipids. The ability of MSC-EVs to modulate multiple pathways simultaneously explains their broad efficacy but also complicates efforts to pinpoint specific mechanisms for each disease (). Future studies should leverage omics technologies to elucidate disease-specific EV cargos and their targets, facilitating precision medicine approaches.

4.5 Methodological quality and limitations

A major limitation across the evidence base is the prevalence of randomization bias, lack of blinding, and inadequate allocation concealment, as summarized in Table 6. These issues undermine internal validity and may inflate reported effect sizes. The review identified significant methodological challenges that temper the interpretation of findings. Most meta-analyses reported moderate to high risk of bias, primarily due to unclear randomization, lack of blinding, and inadequate allocation concealment in primary studies. The SYRCLE and CAMARADES tools highlighted these issues, with only a few studies achieving low risk across all domains. High heterogeneity (I2 often >70%) was another concern, driven by variations in animal models, EV sources, doses, and administration protocols. While sensitivity analyses and trim-and-fill adjustments often confirmed robust findings, publication bias was evident in conditions like stroke and SCI, suggesting a potential overestimation of effect sizes. Although some outcomes showed very large effect sizes, they were accompanied by high heterogeneity (I2 ≥ 70%). In this umbrella review, we did not exclude these results but reclassified them as Promising but heterogeneous to preserve comprehensiveness while reflecting their limited certainty.

The AMSTAR 2 assessments rated all meta-analyses as moderate quality, reflecting limitations in reporting randomization, blinding, and publication bias assessments. The lack of standardized EV characterization further complicates comparisons across studies. These methodological issues align with broader challenges in preclinical research, where poor reporting and experimental design can undermine reproducibility ().

The umbrella review itself has limitations. The restriction to English-language studies may have excluded relevant non-English meta-analyses (). The reliance on reported data from included meta-analyses meant that incomplete or inconsistent reporting could affect our synthesis. Additionally, the diversity of diseases and outcomes precluded a formal meta-analysis of effect sizes, limiting our ability to quantify overall efficacy.

4.6 Limitations and considerations

Because umbrella reviews rely on published meta-analyses, we cannot exclude or re-pool individual primary studies. Instead, we downgraded evidence strength for outcomes with I2 ≥ 70% to Promising but heterogeneous. This ensures transparency while retaining the comprehensive scope of the umbrella review.

Several limitations must be considered when interpreting the findings of this umbrella review. Study quality was a notable concern, as poor reporting of critical methodological aspects such as randomization, blinding, and allocation concealment limited the reliability of some conclusions. Many primary studies scored between 3 and 7 on the SYRCLE scale, reflecting low to moderate methodological quality.

Several included reviews were of low or critically low confidence according to AMSTAR-2, and while retained for completeness, sensitivity summaries excluding these reviews are presented to indicate robustness of conclusions.

Future preclinical MSC-EV studies should implement rigorous randomization and blinding, with transparent allocation concealment, in line with ARRIVE reporting standards, to improve the reliability of pooled evidence.

Publication bias was evident in numerous conditions, including stroke, SCI, and post-operative ileus, as indicated by asymmetrical funnel plots and significant Egger’s or Begg’s test results. However, subsequent trim-and-fill analyses often confirmed the stability of the observed effects, lending credibility to the synthesized outcomes.

Another issue was the variability in exosome characterization. Some studies did not include essential quality control data, such as electron microscopy images or expression analysis of EV surface markers, which may affect the comparability and reproducibility of MSC-EV therapies.

Lastly, translational challenges remain. While MSC-EVs demonstrated high efficacy across a range of preclinical disease models, differences in dosing regimens, timing of administration, and delivery strategies must be standardized to advance these findings toward clinical application.

4.7 Future directions

Several key priorities have emerged to guide future research on MSC-EVs, with the goal of enhancing scientific rigor and accelerating clinical translation. First and foremost, there is a critical need for standardization. Uniform protocols for EV isolation, characterization, and dosing must be developed and widely adopted to ensure reproducibility and comparability across studies. In this context, strict adherence to the MISEV2023 (Minimal Information for Studies of Extracellular Vesicles) guidelines should be considered essential ().

In addition, mechanistic studies should be expanded using advanced omics technologies—such as proteomics, transcriptomics, and metabolomics—alongside bioinformatics tools, to elucidate disease-specific EV cargos and their molecular targets. Such insights will support the development of more tailored and effective therapeutic strategies. Optimization of MSC-EV therapies is another important area of focus. This includes exploring novel and less-studied EV sources, such as PDLSCs and MenSCs, as well as employing bioengineering strategies like microRNA loading or surface modification to enhance therapeutic potency.

Across the included meta-analyses, the most commonly reported methods were hypoxic preconditioning, miRNA-engineering, cytokine/growth factor priming, and scaffold-based conditioning. These preconditioning approaches were consistently associated with improved therapeutic efficacy, including enhanced angiogenesis, neuroprotection, and anti-inflammatory effects. For example, hypoxia-enhanced EVs showed superior functional outcomes in spinal cord injury models, while miRNA-modified EVs demonstrated targeted regulation of inflammatory and regenerative pathways (). Scaffold incorporation also supported sustained EV release and localized tissue repair (). These findings suggest that preconditioning may be a key determinant of EV potency, and future research should prioritize standardized evaluation of these strategies ().

For clinical translation, the field must now progress toward conducting early-phase clinical trials (Phase I/II) to assess the safety, tolerability, and efficacy of MSC-EVs in human subjects. Priority should be given to high-impact conditions where preclinical data already show strong therapeutic potential, such as ischemic stroke and diabetic wounds. Alongside these translational efforts, improving methodological rigor in preclinical studies is crucial. This involves proper implementation of randomization, blinding, and allocation concealment, with transparent reporting practices aligned with the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines.

Finally, addressing publication bias remains a vital consideration. The use of prospective study registration and open-access data platforms can help ensure that both positive and negative results are reported, thereby strengthening the integrity of the evidence base. By tackling these research priorities, the field can move toward more reliable, effective, and clinically applicable MSC-EV therapies.

5 Conclusion

MSC-EVs demonstrate remarkable therapeutic potential across diverse preclinical models, with high efficacy in reducing inflammation, apoptosis, and tissue damage while promoting regeneration and functional recovery. BM-, adipose-, and umbilical cord-derived EVs are particularly promising, with modified EVs offering enhanced benefits. Despite methodological limitations, the consistency of positive outcomes supports MSC-EVs as a viable therapeutic strategy. However, current studies are limited by small sample sizes, heterogeneous isolation and characterization methods, and variable outcome measures, which hinder comparability and reproducibility. Future studies should prioritize standardized protocols, robust mechanistic investigations, and rigorous experimental design to address these shortcomings. Addressing standardization, mechanistic understanding, and study quality will be critical to translating these findings into clinical practice, potentially revolutionizing treatment for a wide range of diseases.

Statements

Author contributions

NM: Data curation, Funding acquisition, Investigation, Methodology, Writing – original draft. KZ: Investigation, Methodology, Software, Writing – original draft. AB: Formal Analysis, Investigation, Validation, Writing – review and editing. MK: Formal Analysis, Investigation, Validation, Writing – review and editing. AT: Conceptualization, Project administration, Supervision, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The study was supported by the program-targeted financing on scientific programs of the Ministry of Healthcare of the Republic of Kazakhstan « Development of an exosome isolation kit from umbilical cord mesenchymal stem cell culture for therapeutic and research application» (2024–2026) (IRN BR25593457).

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.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Publisher’s note

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2025.1655623/full#supplementary-material

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Summary

Keywords

mesenchymal stem cells, extracellular vesicles, exosomes, preclinical models, umbrella review, regenerative medicine

Citation

Mussin NM, Zhilisbayeva KR, Baspakova A, Kurmanalina MA and Tamadon A (2025) Umbrella review of mesenchymal stem cell-derived extracellular vesicles in preclinical models: therapeutic efficacy across diverse conditions. Front. Cell Dev. Biol. 13:1655623. doi: 10.3389/fcell.2025.1655623

Received

28 June 2025

Accepted

29 September 2025

Published

13 October 2025

Volume

13 - 2025

Edited by

Francesco De Francesco, Azienda Ospedaliero Universitaria delle Marche, Italy

Reviewed by

Hakan Darici, University of Istinye, Türkiye

Vitali Maldonado, University of Arkansas, United States

Updates

Copyright

*Correspondence: Amin Tamadon,

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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