Published online Dec 26, 2025. doi: 10.4252/wjsc.v17.i12.113456
Revised: September 30, 2025
Accepted: November 21, 2025
Published online: December 26, 2025
Processing time: 113 Days and 14.7 Hours
Fu et al investigated human adipose-derived mesenchymal stem cell exosomes for androgenetic alopecia, identifying a stable set of 232 proteins and proposing the CDC42-Wnt/β-catenin- glycogen synthase kinase 3β signaling axis. These find
Core Tip: Key challenges for translating human adipose-derived mesenchymal stem cell-derived exosomes in androgenetic alopecia include: Incomplete exosome marker information; lack of standardized reporting for particle counts and protein content; absence of direct CDC42 function validation; limited depth in Wnt/β-catenin pathway analysis; insufficient biochemical data in animal models; undefined microneedle delivery parameters; limited safety profiling; and lack of integrated quality control and potency release criteria.
- Citation: Jiang Y, Huang WJ, Zhou R. Advancing human adipose-derived mesenchymal stem cell-derived exosomes for androgenetic alopecia: Appraisal and methodological recommendations. World J Stem Cells 2025; 17(12): 113456
- URL: https://www.wjgnet.com/1948-0210/full/v17/i12/113456.htm
- DOI: https://dx.doi.org/10.4252/wjsc.v17.i12.113456
Fu et al[1] provided a thoughtful evaluation of human adipose-derived mesenchymal stem cell-derived exosomes for androgenetic alopecia, identifying a core set of 232 proteins and proposing the CDC42-Wnt/β-catenin-glycogen synthase kinase 3β (GSK3β) axis related to dermal papilla cell responses. Their approach, including stable cargo profiling and microneedle-assisted delivery, offers a promising foundation for clinical application. Further improvements in exosome characterization, dose measurement, mechanism validation, animal model rigor, delivery methods, and quality control could enhance reproducibility and clarity. A comprehensive overview of current limitations and recommended improvements for each procedural aspect is provided in Table 1.
| Procedures | Current limitations | Recommended improvements | Priority level |
| Exosome characterization | Incomplete marker information; limited use of negative controls; possible contamination from serum supplements | Include key markers (Alix, TSG101, syntenin), broader negative controls; clarify serum supplementation and collection methods to avoid contamination | Medium |
| Dose normalization | Only total protein reported; lack of particle count, particle-to-protein ratio; no dose-response analysis; batch variability not addressed | Report both particle count and protein concentration; include particle-to-protein ratio, yield per cell, batch variability; establish dose-response curves with multiple doses; normalize exposure by particle number per area in animal studies | High |
| Mechanism validation | No direct validation of CDC42 function; mechanism inferred only from changes after treatment; limited depth in Wnt/β-catenin pathway analysis | Demonstrate CDC42’s direct role via knockdown/overexpression and exosome content analysis; assess effects on dermal papilla cells and β-catenin localization; perform rescue experiments and detailed pathway analysis, including target gene expression and reporter activity | High |
| In vivo model | Phenotypic changes only; limited biochemical measurements; lack of validity safeguards (randomization/blinding); short follow-up duration | Add biochemical measurements (skin/serum dihydrotestosterone, androgen receptor target genes); implement randomization and blinding; extend follow-up to cover a full hair cycle for durability assessment | Medium |
| Delivery optimization | Microneedle delivery parameters undefined (needle length, density, passes, pressure, intervals); no tracking of distribution or retention | Specify microneedle parameters (length, density, passes, pressure, interval); use imaging techniques to track exosome distribution and optimize dosing | Medium |
| QC | No minimal QC panel defined; lack of clear release criteria; insufficient disclosure of key variables (size, marker intensity, endotoxin, etc.) | Define a streamlined QC panel early; select key markers from the 232-protein set; disclose criteria (particle size, particle-to-protein ratio, marker intensity, endotoxin level, sterility, residual bovine protein) to ensure reproducibility | Medium |
| Safety evaluation | Limited safety profiling; no integrated framework; regulatory requirements not fully addressed | Evaluate safety via cytokine panels, pro-fibrotic markers, hemolysis, coagulation, local irritation scores; develop an integrated quality control and safety framework to meet regulatory standards | Low |
Current exosome identification relies on morphology, size, and selected markers, with calnexin as a negative control[2]. Adding markers such as Alix, TSG101, and syntenin, along with broader negative controls, can improve accuracy[2]. Clarifying serum supplementation and collection methods helps assess possible contamination[2]. Reporting only total protein is insufficient, as it does not fully capture the complexity and variability of exosome preparations. This approach overlooks critical parameters such as particle number, particle-to-protein ratio, yield per cell, and batch-to-batch consistency, which are essential for accurate dose standardization and reproducibility[3]. Without these data, it becomes challenging to compare results across experiments or to establish reliable dosing protocols, potentially limiting the translational relevance of the findings. To address these limitations, we recommend adopting a more comprehensive and quantitative approach to exosome characterization and dose normalization. Specifically, both particle count (using nanoparticle tracking analysis or similar technologies) and total protein mass should be routinely reported for each batch. Calculating and disclosing the particle-to-protein ratio and yield per cell will provide a clearer picture of exosome quality and enable more precise inter-study comparisons. Furthermore, documenting batch variability by reporting these metrics for multiple independent preparations can help ensure consistency and reproducibility. Establishing dose-response curves using a range of exosome concentrations is also essential. This allows for the determination of key pharmacological parameters such as the minimum effective dose and EC50, which are critical for optimizing therapeutic efficacy and minimizing off-target effects[3]. In animal studies, normalizing exosome exposure by particle number per unit area and cumulative load will enhance the comparability of results across different experimental conditions and models. Implementing these practices will significantly improve the rigor and transparency of dose standardization, ultimately strengthening the reliability and translational potential of exosome-based therapies.
Support for a CDC42-Wnt/β-catenin-GSK3β axis presently depends on post-treatment expression changes. Demonstrating CDC42 as a transferred, functionally necessary cargo rather than a secondarily induced mediator would reduce ambiguity[4]. However, the current mechanistic evidence is mainly correlative and indirect, leaving open whether CDC42 is truly a transferred, essential exosomal cargo or simply upregulated by other components. The investigation into the Wnt/β-catenin pathway also lacks detailed analysis of downstream events, which may weaken the study’s mecha
To substantially address these limitations and elevate the scientific robustness of the manuscript, we recommend a staged experimental approach. First, quantifying intra-exosomal CDC42 per particle would provide direct evidence of its transfer via exosomes. Next, generating CDC42-depleted exosomes by donor cell siRNA or CRISPR knockdown, followed by assessment of their ability to support dermal papilla cell proliferation, migration, and β-catenin nuclear localization, would clarify the necessity of CDC42. Rescue experiments, involving re-expression of CDC42 or supplementation with recombinant CDC42 alongside appropriate adsorption controls, would further establish functional sufficiency. Ad
The testosterone propionate model mainly describes phenotypic changes. Adding biochemical measurements, such as skin or serum dihydrotestosterone and androgen receptor target genes, along with robust validity measures like randomization and blinding, can improve reliability[6]. Extending follow-up to cover a full hair cycle will assess durability[6]. For microneedle delivery, specifying needle length, density, number of passes, pressure, and treatment intervals is essential for reproducibility[7]. Imaging techniques can help track distribution and optimize dosing[7].
Defining a minimal quality control panel early can ensure consistency in production. The 232-protein set can be reduced to a few key markers covering major functions. Criteria such as particle size, particle-to-protein ratio, marker intensity, endotoxin level, sterility, and residual bovine protein should be clearly disclosed to facilitate reproducibility[8].
Functional potency can be assessed by measuring dermal papilla cell proliferation, migration, and β-catenin nuclear translocation at standardized particle-to-cell ratios[8,9]. Linking potency to structural variables may help identify surrogate markers for future testing[9]. Safety evaluation should include cytokine panels, pro-fibrotic markers, hemolysis, coagulation, and local irritation scores to meet regulatory requirements[10].
Future priorities include: (1) Standardized exosome characterization and dosing; (2) Direct validation of CDC42 and Wnt pathway mechanisms; (3) Robust animal models with clear validity safeguards; (4) Optimized microneedle delivery parameters; and (5) Integrated quality control and safety frameworks.
Microneedle-delivered human adipose-derived mesenchymal stem cell-derived exosomes show promise as a rege
We thank the authors for their valuable work and the opportunity to comment on this important topic.
| 1. | Fu Y, Han YT, Xie JL, Liu RQ, Zhao B, Zhang XL, Zhang J, Zhang J. Mesenchymal stem cell exosomes enhance the development of hair follicle to ameliorate androgenetic alopecia. World J Stem Cells. 2025;17:102088. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 9] [Reference Citation Analysis (2)] |
| 2. | Théry C, Witwer KW, Aikawa E, Alcaraz MJ, Anderson JD, Andriantsitohaina R, Antoniou A, Arab T, Archer F, Atkin-Smith GK, Ayre DC, Bach JM, Bachurski D, Baharvand H, Balaj L, Baldacchino S, Bauer NN, Baxter AA, Bebawy M, Beckham C, Bedina Zavec A, Benmoussa A, Berardi AC, Bergese P, Bielska E, Blenkiron C, Bobis-Wozowicz S, Boilard E, Boireau W, Bongiovanni A, Borràs FE, Bosch S, Boulanger CM, Breakefield X, Breglio AM, Brennan MÁ, Brigstock DR, Brisson A, Broekman ML, Bromberg JF, Bryl-Górecka P, Buch S, Buck AH, Burger D, Busatto S, Buschmann D, Bussolati B, Buzás EI, Byrd JB, Camussi G, Carter DR, Caruso S, Chamley LW, Chang YT, Chen C, Chen S, Cheng L, Chin AR, Clayton A, Clerici SP, Cocks A, Cocucci E, Coffey RJ, Cordeiro-da-Silva A, Couch Y, Coumans FA, Coyle B, Crescitelli R, Criado MF, D'Souza-Schorey C, Das S, Datta Chaudhuri A, de Candia P, De Santana EF, De Wever O, Del Portillo HA, Demaret T, Deville S, Devitt A, Dhondt B, Di Vizio D, Dieterich LC, Dolo V, Dominguez Rubio AP, Dominici M, Dourado MR, Driedonks TA, Duarte FV, Duncan HM, Eichenberger RM, Ekström K, El Andaloussi S, Elie-Caille C, Erdbrügger U, Falcón-Pérez JM, Fatima F, Fish JE, Flores-Bellver M, Försönits A, Frelet-Barrand A, Fricke F, Fuhrmann G, Gabrielsson S, Gámez-Valero A, Gardiner C, Gärtner K, Gaudin R, Gho YS, Giebel B, Gilbert C, Gimona M, Giusti I, Goberdhan DC, Görgens A, Gorski SM, Greening DW, Gross JC, Gualerzi A, Gupta GN, Gustafson D, Handberg A, Haraszti RA, Harrison P, Hegyesi H, Hendrix A, Hill AF, Hochberg FH, Hoffmann KF, Holder B, Holthofer H, Hosseinkhani B, Hu G, Huang Y, Huber V, Hunt S, Ibrahim AG, Ikezu T, Inal JM, Isin M, Ivanova A, Jackson HK, Jacobsen S, Jay SM, Jayachandran M, Jenster G, Jiang L, Johnson SM, Jones JC, Jong A, Jovanovic-Talisman T, Jung S, Kalluri R, Kano SI, Kaur S, Kawamura Y, Keller ET, Khamari D, Khomyakova E, Khvorova A, Kierulf P, Kim KP, Kislinger T, Klingeborn M, Klinke DJ 2nd, Kornek M, Kosanović MM, Kovács ÁF, Krämer-Albers EM, Krasemann S, Krause M, Kurochkin IV, Kusuma GD, Kuypers S, Laitinen S, Langevin SM, Languino LR, Lannigan J, Lässer C, Laurent LC, Lavieu G, Lázaro-Ibáñez E, Le Lay S, Lee MS, Lee YXF, Lemos DS, Lenassi M, Leszczynska A, Li IT, Liao K, Libregts SF, Ligeti E, Lim R, Lim SK, Linē A, Linnemannstöns K, Llorente A, Lombard CA, Lorenowicz MJ, Lörincz ÁM, Lötvall J, Lovett J, Lowry MC, Loyer X, Lu Q, Lukomska B, Lunavat TR, Maas SL, Malhi H, Marcilla A, Mariani J, Mariscal J, Martens-Uzunova ES, Martin-Jaular L, Martinez MC, Martins VR, Mathieu M, Mathivanan S, Maugeri M, McGinnis LK, McVey MJ, Meckes DG Jr, Meehan KL, Mertens I, Minciacchi VR, Möller A, Møller Jørgensen M, Morales-Kastresana A, Morhayim J, Mullier F, Muraca M, Musante L, Mussack V, Muth DC, Myburgh KH, Najrana T, Nawaz M, Nazarenko I, Nejsum P, Neri C, Neri T, Nieuwland R, Nimrichter L, Nolan JP, Nolte-'t Hoen EN, Noren Hooten N, O'Driscoll L, O'Grady T, O'Loghlen A, Ochiya T, Olivier M, Ortiz A, Ortiz LA, Osteikoetxea X, Østergaard O, Ostrowski M, Park J, Pegtel DM, Peinado H, Perut F, Pfaffl MW, Phinney DG, Pieters BC, Pink RC, Pisetsky DS, Pogge von Strandmann E, Polakovicova I, Poon IK, Powell BH, Prada I, Pulliam L, Quesenberry P, Radeghieri A, Raffai RL, Raimondo S, Rak J, Ramirez MI, Raposo G, Rayyan MS, Regev-Rudzki N, Ricklefs FL, Robbins PD, Roberts DD, Rodrigues SC, Rohde E, Rome S, Rouschop KM, Rughetti A, Russell AE, Saá P, Sahoo S, Salas-Huenuleo E, Sánchez C, Saugstad JA, Saul MJ, Schiffelers RM, Schneider R, Schøyen TH, Scott A, Shahaj E, Sharma S, Shatnyeva O, Shekari F, Shelke GV, Shetty AK, Shiba K, Siljander PR, Silva AM, Skowronek A, Snyder OL 2nd, Soares RP, Sódar BW, Soekmadji C, Sotillo J, Stahl PD, Stoorvogel W, Stott SL, Strasser EF, Swift S, Tahara H, Tewari M, Timms K, Tiwari S, Tixeira R, Tkach M, Toh WS, Tomasini R, Torrecilhas AC, Tosar JP, Toxavidis V, Urbanelli L, Vader P, van Balkom BW, van der Grein SG, Van Deun J, van Herwijnen MJ, Van Keuren-Jensen K, van Niel G, van Royen ME, van Wijnen AJ, Vasconcelos MH, Vechetti IJ Jr, Veit TD, Vella LJ, Velot É, Verweij FJ, Vestad B, Viñas JL, Visnovitz T, Vukman KV, Wahlgren J, Watson DC, Wauben MH, Weaver A, Webber JP, Weber V, Wehman AM, Weiss DJ, Welsh JA, Wendt S, Wheelock AM, Wiener Z, Witte L, Wolfram J, Xagorari A, Xander P, Xu J, Yan X, Yáñez-Mó M, Yin H, Yuana Y, Zappulli V, Zarubova J, Žėkas V, Zhang JY, Zhao Z, Zheng L, Zheutlin AR, Zickler AM, Zimmermann P, Zivkovic AM, Zocco D, Zuba-Surma EK. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J Extracell Vesicles. 2018;7:1535750. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 6453] [Cited by in RCA: 8062] [Article Influence: 1007.8] [Reference Citation Analysis (1)] |
| 3. | Zhang Y, Lan M, Chen Y. Minimal Information for Studies of Extracellular Vesicles (MISEV): Ten-Year Evolution (2014-2023). Pharmaceutics. 2024;16:1394. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 19] [Reference Citation Analysis (1)] |
| 4. | Hsu C, Morohashi Y, Yoshimura S, Manrique-Hoyos N, Jung S, Lauterbach MA, Bakhti M, Grønborg M, Möbius W, Rhee J, Barr FA, Simons M. Regulation of exosome secretion by Rab35 and its GTPase-activating proteins TBC1D10A-C. J Cell Biol. 2010;189:223-232. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 545] [Cited by in RCA: 645] [Article Influence: 40.3] [Reference Citation Analysis (0)] |
| 5. | Liu J, Xiao Q, Xiao J, Niu C, Li Y, Zhang X, Zhou Z, Shu G, Yin G. Wnt/β-catenin signalling: function, biological mechanisms, and therapeutic opportunities. Signal Transduct Target Ther. 2022;7:3. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 68] [Cited by in RCA: 1487] [Article Influence: 371.8] [Reference Citation Analysis (0)] |
| 6. | Sawaya ME, Price VH. Different levels of 5alpha-reductase type I and II, aromatase, and androgen receptor in hair follicles of women and men with androgenetic alopecia. J Invest Dermatol. 1997;109:296-300. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 338] [Cited by in RCA: 307] [Article Influence: 10.6] [Reference Citation Analysis (0)] |
| 7. | Nguyen HX, Nguyen CN. Microneedle-Mediated Transdermal Delivery of Biopharmaceuticals. Pharmaceutics. 2023;15:277. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 29] [Cited by in RCA: 57] [Article Influence: 19.0] [Reference Citation Analysis (0)] |
| 8. | Welsh JA, Goberdhan DCI, O'Driscoll L, Buzas EI, Blenkiron C, Bussolati B, Cai H, Di Vizio D, Driedonks TAP, Erdbrügger U, Falcon-Perez JM, Fu QL, Hill AF, Lenassi M, Lim SK, Mahoney MG, Mohanty S, Möller A, Nieuwland R, Ochiya T, Sahoo S, Torrecilhas AC, Zheng L, Zijlstra A, Abuelreich S, Bagabas R, Bergese P, Bridges EM, Brucale M, Burger D, Carney RP, Cocucci E, Crescitelli R, Hanser E, Harris AL, Haughey NJ, Hendrix A, Ivanov AR, Jovanovic-Talisman T, Kruh-Garcia NA, Ku'ulei-Lyn Faustino V, Kyburz D, Lässer C, Lennon KM, Lötvall J, Maddox AL, Martens-Uzunova ES, Mizenko RR, Newman LA, Ridolfi A, Rohde E, Rojalin T, Rowland A, Saftics A, Sandau US, Saugstad JA, Shekari F, Swift S, Ter-Ovanesyan D, Tosar JP, Useckaite Z, Valle F, Varga Z, van der Pol E, van Herwijnen MJC, Wauben MHM, Wehman AM, Williams S, Zendrini A, Zimmerman AJ; MISEV Consortium, Théry C, Witwer KW. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches. J Extracell Vesicles. 2024;13:e12404. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1603] [Cited by in RCA: 1932] [Article Influence: 966.0] [Reference Citation Analysis (0)] |
| 9. | EV-TRACK Consortium; Van Deun J, Mestdagh P, Agostinis P, Akay Ö, Anand S, Anckaert J, Martinez ZA, Baetens T, Beghein E, Bertier L, Berx G, Boere J, Boukouris S, Bremer M, Buschmann D, Byrd JB, Casert C, Cheng L, Cmoch A, Daveloose D, De Smedt E, Demirsoy S, Depoorter V, Dhondt B, Driedonks TA, Dudek A, Elsharawy A, Floris I, Foers AD, Gärtner K, Garg AD, Geeurickx E, Gettemans J, Ghazavi F, Giebel B, Kormelink TG, Hancock G, Helsmoortel H, Hill AF, Hyenne V, Kalra H, Kim D, Kowal J, Kraemer S, Leidinger P, Leonelli C, Liang Y, Lippens L, Liu S, Lo Cicero A, Martin S, Mathivanan S, Mathiyalagan P, Matusek T, Milani G, Monguió-Tortajada M, Mus LM, Muth DC, Németh A, Nolte-'t Hoen EN, O'Driscoll L, Palmulli R, Pfaffl MW, Primdal-Bengtson B, Romano E, Rousseau Q, Sahoo S, Sampaio N, Samuel M, Scicluna B, Soen B, Steels A, Swinnen JV, Takatalo M, Thaminy S, Théry C, Tulkens J, Van Audenhove I, van der Grein S, Van Goethem A, van Herwijnen MJ, Van Niel G, Van Roy N, Van Vliet AR, Vandamme N, Vanhauwaert S, Vergauwen G, Verweij F, Wallaert A, Wauben M, Witwer KW, Zonneveld MI, De Wever O, Vandesompele J, Hendrix A. EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research. Nat Methods. 2017;14:228-232. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 612] [Cited by in RCA: 981] [Article Influence: 109.0] [Reference Citation Analysis (0)] |
| 10. | Kalluri R, LeBleu VS. The biology, function, and biomedical applications of exosomes. Science. 2020;367:eaau6977. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 6920] [Cited by in RCA: 7205] [Article Influence: 1200.8] [Reference Citation Analysis (1)] |
