Author(s):
Islam Dababseh, Aya Barakat, Sumaiia Younes, Mais Rostom, Rahaf Baddour, Bishr Haydar, Hawraa Taleb, Hala Ahmad, Julia Alhalabi, Issa Yusuf
Email(s):
islam.dababseh@idstemgenomeinstitute.com , dr.aya.n.barakat@gmail.com , sumayunn@gmail.com , maiso2001rst@gmail.com , rahafbaddour200@gmail.com , bishrhaydar4@gmail.com , hawraataleb1999@gmail.com , hala.i.ahmad@tishreen.edu.sy , alhalabijulia@gmail.com , issa.ryusuf@gmail.com.
DOI:
10.52711/0974-360X.2026.00546 
Address:
Islam Dababseh1 Aya Barakat2, Sumaiia Younes2, Mais Rostom2, Rahaf Baddour2, Bishr Haydar2, Hawraa Taleb2, Hala Ahmad2, Julia Alhalabi2, Issa Yusuf2
1I.D Stem Cells and Genome Institute Kiev, Ukraine.
2Latakia University, Faculty of Pharmacy, Latakia Governorate, Syria.
*Corresponding Author
Published In:
Volume - 19,
Issue - 8,
Year - 2026
ABSTRACT:
Aging is an unavoidable stage of life, typified by a gradual decrease in vital functions due to the accumulation of cellular and tissue damage. This decline increases the risk of numerous chronic diseases. Despite advances in conventional anti-aging strategies, they remain limited in their ability to reverse age-related damage. This study highlights stem cells and their variants as an instrument with promise for regenerative medicine to combat the effects of aging. Thanks to their unique regenerative properties, it discusses the practical and ethical challenges surrounding their clinical applications, including safety concerns, high costs, and regulatory considerations, while exploring future directions for safer and more accessible treatment options.
Cite this article:
Islam Dababseh, Aya Barakat, Sumaiia Younes, Mais Rostom, Rahaf Baddour, Bishr Haydar, Hawraa Taleb, Hala Ahmad, Julia Alhalabi, Issa Yusuf. Stem Cells in the Fight against Aging: Challenges Limitation and Future Directions. Research Journal of Pharmacy and Technology. 2026;19(8):3883-9. doi: 10.52711/0974-360X.2026.00546
Cite(Electronic):
Islam Dababseh, Aya Barakat, Sumaiia Younes, Mais Rostom, Rahaf Baddour, Bishr Haydar, Hawraa Taleb, Hala Ahmad, Julia Alhalabi, Issa Yusuf. Stem Cells in the Fight against Aging: Challenges Limitation and Future Directions. Research Journal of Pharmacy and Technology. 2026;19(8):3883-9. doi: 10.52711/0974-360X.2026.00546 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2026-19-8-63
REFERENCES:
1. Kamat SM, Mendelsohn AR, Larrick JW. Rejuvenation through oxygen, more or less. Rejuvenation Res. 2021; 24(2): 158-63.
2. Pour Mohammad A, Zafarmand S, Shabestanipour G, Fattahian R, Lotfi A. A systematic review and meta-analysis of efficacy, safety, and satisfaction rates of laser combination treatments vs laser monotherapy in skin rejuvenation resurfacing. Lasers Med Sci. 2023; 38(1): 106.
3. Lyu JJ, Liu SX. Radiofrequency in facial rejuvenation. Int J Dermatol Venereol. 2022; 5(2): 94-100.
4. Hersant B, Jabbour S, Noel W, Bosc R, Meningaud JP. Synergistic effects of autologous platelet-rich plasma and hyaluronic acid injections on facial skin rejuvenation. Aesthet Surg J. 2021; 41(7): NP854-65.
5. Griffiths TW, Watson REB, Langton AK. Skin ageing and topical rejuvenation strategies. Br J Dermatol. 2023; 189(Suppl 1): i17-i23.
6. Sherley JL. Human embryonic stem cell research: no way around a scientific bottleneck. Biomed Res Int. 2004; 2004(2): 71-2.
7. Chung Y, Klimanskaya I, Becker S, Marh J, Lu SJ, Johnson J, et al. Human embryonic stem cell lines generated without embryo destruction. Cell Stem Cell. 2008; 2(2): 113-7.
8. Volarevic V, Markovic BS, Gazdic M, Volarevic A, Jovicic N, Arsenijevic N, et al. Ethical and safety issues of stem cell-based therapy. Int J Med Sci. 2018; 15(1): 36-45.
9. Moradi S, Mahdizadeh H, Šarić T, Kim J, Harati J, Shahsavarani H, et al. Research and therapy with induced pluripotent stem cells (iPSCs): social, legal, and ethical considerations. Stem Cell Res Ther. 2019; 10(1): 341.
10. Golchin A, Seyedjafari E, Ardeshirylajimi A. Mesenchymal stem cell therapy for COVID-19: present or future. Stem Cell Rev Rep. 2020; 16(3): 427-33.
11. Liu LP, Li YM, Guo NN, Li S, Ma X, Zhang YX, et al. Therapeutic potential of patient iPSC-derived iMelanocytes in autologous transplantation. Cell Rep. 2019; 27(2): 455-66.
12. Woodworth CF, Jenkins G, Barron J, Hache N. Intramedullary cervical spinal mass after stem cell transplantation using an olfactory mucosal cell autograft. CMAJ. 2019;191(27): E761-4.
13. Yamanaka S. Pluripotent stem cell-based cell therapy—promise and challenges. Cell Stem Cell. 2020; 27(4): 523-31.
14. Brianna, Ling APK, Wong YP. Applying stem cell therapy in intractable diseases: a narrative review of decades of progress and challenges. Stem Cell Investig. 2022; 9: 4.
15. Lee AS, Tang C, Rao MS, Weissman IL, Wu JC. Tumorigenicity as a clinical hurdle for pluripotent stem cell therapies. Nat Med. 2013; 19(8): 998-1004.
16. Shiras A, Chettiar ST, Shepal V, Rajendran G, Prasad GR, Shastry P. Spontaneous transformation of human adult nontumorigenic stem cells to cancer stem cells is driven by genomic instability in a human model of glioblastoma. Stem Cells. 2007; 25(6): 1478-89.
17. Doi D, Morizane A, Kikuchi T, Onoe H, Hayashi T, Kawasaki T, et al. Prolonged maturation culture favors a reduction in the tumorigenicity and the dopaminergic function of human ESC‐derived neural cells in a primate model of Parkinson’s disease. Stem Cells. 2012; 30(5): 935-45.
18. Fraile M, Eiro N, Costa LA, Martín A, Vizoso FJ. Aging and mesenchymal stem cells: basic concepts, challenges and strategies. Biology. 2022;11(11):1678.
19. Chen H, Liu O, Chen S, Zhou Y. Aging and mesenchymal stem cells: therapeutic opportunities and challenges in the older group. Gerontology. 2022; 68(3): 339-52.
20. Wruck W, Graffmann N, Spitzhorn LS, Adjaye J. Human induced pluripotent stem cell-derived mesenchymal stem cells acquire rejuvenation and reduced heterogeneity. Front Cell Dev Biol. 2021; 9: 717772.
21. Cai Y, Wang S, Qu J, Belmonte JCI, Liu GH. Rejuvenation of tissue stem cells by intrinsic and extrinsic factors. Stem Cells Transl Med. 2022; 11(3): 231-8.
22. Shekari F, Nazari A, Assar Kashani E, Hajizadeh-Saffar E, Lim R, Baharvand H. Pre-clinical investigation of mesenchymal stromal cell-derived extracellular vesicles: a systematic review. Cytotherapy. 2021; 23(4): 277-84.
23. Poupardin R, Wolf M, Fröhlich T, Kühn M, Akyüz L, Kozlowski E, et al. Advances in extracellular vesicle research over the past decade: source and isolation method are connected with cargo and function. Adv Healthc Mater. 2024; 13(19): 2303941.
24. Abyadeh M, Ahmadi I, Ranjbar M, Hooshmand K, Shokraneh M, Gupta V, et al. Proteomic profiling of mesenchymal stem cell‐derived extracellular vesicles: impact of isolation methods on protein cargo. J Extracell Bio. 2024; 3(6): e159.
25. Hartjes TA, Mytnyk S, Jenster GW, Van Steijn V, Van Royen ME. Extracellular vesicle quantification and characterization: common methods and emerging approaches. Bioengineering. 2019; 6(1): 7.
26. Ahn SH, Ryu SW, Choi H, You S, Park J, Choi C. Manufacturing therapeutic exosomes: from bench to industry. Mol Cells. 2022; 45(5): 284-90.
27. Hetta HF, Zahran AM, Khedr EM, Mourad AA, Abdel-Maksoud AM, Akl EM, et al. Mesenchymal stem cell therapy in diabetic foot ulcer: an updated comprehensive review. Health Sci Rep. 2024; 7(4): e2036.
28. Xu Z, He Y, Feng S, Zhang X, Zhou W, Gao T, et al. Merits and challenges of iPSC-derived organoids for clinical applications. Front Cell Dev Biol. 2023; 11: 1188905.
29. Doss MX, Sachinidis A. Current challenges of iPSC-based disease modeling and therapeutic implications. Cells. 2019; 8(5): 403.
30. Moy A, Kamath A, Ternes S, Kamath J. The challenges to advancing induced pluripotent stem cell-dependent cell replacement therapy. Med Res Arch. 2023; 11(11).
31. Cerneckis J, Cai H, Shi Y. Induced pluripotent stem cells (iPSCs): molecular mechanisms of induction and applications. Signal Transduct Target Ther. 2024; 9(1): 110.
32. Kabir W, Di Bella C, Jo I, Gould D, Choong PFM. Human stem cell based tissue engineering for in vivo cartilage repair: a systematic review. Tissue Eng Part B Rev. 2021; 27(1): 74-93.
33. Tsiapalis D, O’Driscoll L. Mesenchymal stem cell derived extracellular vesicles for tissue engineering and regenerative medicine applications. Cells. 2020; 9(4): 991.
34. Johnson SC, Sangesland M, Kaeberlein M, Rabinovitch PS. Modulating mTOR in aging and health. Interdiscip Top Gerontol Geriatr. 2015; 40: 107-27.
35. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015; 521(7553): 436-44.
36. Huang DM, Chung TH, Hung Y, Lu F, Wu SH, Mou CY, et al. Internalization of mesoporous silica nanoparticles induces transient but not sufficient osteogenic signals in human mesenchymal stem cells. Toxicol Appl Pharmacol. 2008; 231(2): 208-15.
37. Shi M, Xia L, Chen Z, Lv F, Zhu H, Wei F, et al. Stimulation of osteogenesis and angiogenesis of hBMSCs by delivering Si ions and functional drug from mesoporous silica nanospheres. Acta Biomater. 2015; 21: 178-89.
38. Li X, Liu H, Niu X, Yu B, Fan Y, Feng Q, et al. Calcium carbonate nanoparticles promote osteogenesis compared to adipogenesis in human bone-marrow mesenchymal stem cells. Prog Nat Sci Mater Int. 2018; 28(5): 598-608.
39. Samberg ME, Loboa EG, Oldenburg SJ, Monteiro-Riviere NA. Silver nanoparticles do not influence stem cell differentiation but cause minimal toxicity. Nanomedicine. 2012; 7(8): 1197-209.
40. Qin H, Zhu C, An Z, Jiang Y, Zhao Y, Wang J, et al. Silver nanoparticles promote osteogenic differentiation of human urine-derived stem cells at noncytotoxic concentrations. Int J Nanomedicine. 2014; 9: 2469-78.
41. Jan SN, Khan FA, Bashir MM, Nasir M, Ansari HH, Shami HB, et al. Unfiltered nanofat injections rejuvenate postburn scars of face. Ann Plast Surg. 2019; 82(1): 28-33.
42. Bertheuil N, Chaput B, Ménard C, Varin A, Laloze J, Watier E, et al. Adipose mesenchymal stromal cells: definition, immunomodulatory properties, mechanical isolation and interest for plastic surgery. Ann Chir Plast Esthet. 2019; 64(1): 1-10.
43. Johnson SC, Rabinovitch PS, Kaeberlein M. mTOR is a key modulator of ageing and age-related disease. Nature. 2013; 493(7432): 338-45.
44. Tang XY, Wu S, Wang D, Chu C, Hong Y, Tao M, et al. Human organoids in basic research and clinical applications. Signal Transduct Target Ther. 2022; 7(1): 168.
45. Corrò C, Novellasdemunt L, Li VSW. A brief history of organoids. Am J Physiol Cell Physiol. 2020; 319(1): C151-65.
46. Reza HA, Wu H, Waldman DL, Agmon G, Xue L, Karakuzu O, et al. Multi-zonal liver organoids from human pluripotent stem cells. Nature. 2025;641(8065):1258-67.
47. Hull C. Apparatus for production of three-dimensional objects by stereolithography. US Patent No. 4,575,330. 1986.
48. Gibson I, Rosen D, Stucker B. Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing. 2nd ed. New York, NY: Springer; 2015.
49. Yang Z, Yi P, Liu Z, Liu J, Zhang X. Stem cell-laden hydrogel-based 3D bioprinting for bone and cartilage tissue engineering. Front Bioeng Biotechnol. 2022;10:865770.
50. Sousa AC, Mendes R, Monteiro MP, Gonçalves AI, Noh JH, Sousa DM, et al. 3D printing/bioprinting and cellular therapies for regenerative medicine: current advances. Preprints. 2024 Aug 21.
51. Bédard P, Gauvin S, Ferland K, Caneparo C, Pellerin É, Chabaud S, et al. Innovative human three-dimensional tissue-engineered models as an alternative to animal testing. Bioengineering. 2020; 7(3): 115.
52. Agarwal S, Saha S, Balla VK, Pal A, Barui A, Kundu SC. Current developments in 3D bioprinting for tissue and organ regeneration–a review. Front Mech Eng. 2020; 6: 589171.
53. Dehghan-Toranposhti S, Bakhshi R, Alizadeh R, Bohlouli M. Fabrication, characterization and evaluating properties of 3D printed PLA-Mn scaffolds. Sci Rep. 2024; 14(1): 16592.
54. Ronaldson-Bouchard K, Vunjak-Novakovic G. Advanced maturation of human cardiac tissue grown from pluripotent stem cells. Nature. 2018; 556(7700):239-43.
55. Teixeira FG, Salgado AJ. Mesenchymal stem cells secretome: current trends and future challenges. Neural Regen Res. 2020; 15(1): 75-7.
56. Zomer HD, Khalili F, Romitti M, Azevedo CO, Souza G, Trentin AG, et al. Evaluation of secretomes derived from human dermal and adipose tissue mesenchymal stem/stromal cells for skin wound healing: not as effective as cells. Stem Cell Res Ther. 2024; 15(1): 15.
57. Zununi Vahed S, Mashhadi Akbar Boojar M, Omidi Y. Milking mesenchymal stem cells: updated protocols for cell lysate, secretome, and exosome extraction, and comparative analysis of their therapeutic potential. Methods. 2025; 238: 40-60.
58. Műzes G, Sipos F. Mesenchymal stem cell-derived secretome: a potential therapeutic option for autoimmune and immune-mediated inflammatory diseases. Cells. 2022; 11(15): 2300.
59. Ibrahim R, Mndlovu H, Kumar P, Adeyemi SA, Choonara YE. Cell secretome strategies for controlled drug delivery and wound-healing applications. Polymers. 2022; 14(14): 2929.
60. Prado-Yupanqui JW, Riva-Moscoso A, Zevallos-Delgado C, Cabanillas-Lazo M, Fajardo-Puerta BA, Quiñones-Laveriano DM, et al. The hidden power of the secretome: therapeutic potential on wound healing and cell-free regenerative medicine—a systematic review. Int J Mol Sci. 2025; 26(5): 1926.
61. Schaub NJ, Hotaling NA, Manescu P, Padi S, Wan Q, Sharma R, et al. Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy. J Clin Invest. 2020; 130(2): 1010-23.
62. Waisman A, La Greca A, Möbbs AM, Scarafía MA, Velazque NL, Neiman G, et al. Deep learning neural networks highly predict very early onset of pluripotent stem cell differentiation. Stem Cell Reports. 2019; 12(4): 845-59.
63. Zaman WSWK, Karman SB, Ramlan EI, Tukimin SNB, Ahmad MYB. Machine learning in stem cells research: application for biosafety and bioefficacy assessment. IEEE Access. 2021; 9: 25926-45.
64. Peloso A, Citro A, Zoro T, Patel K, Shivakumar N, Zambon JP, et al. Artificial intelligence: present and future potential for solid organ transplantation. Transpl Int. 2022;35:10640.
65. Wang C, He T, Zhou H, Zhang Z, Lee C. Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform. Bioelectron Med. 2023; 9(1): 17.
66. Sniecinski I, Seghatchian J. Artificial intelligence: a joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine. Transfus Apher Sci. 2018; 57(3): 422-4.
67. Beheshtizadeh N, Gharibshahian M, Sabouri L, Varzandeh M, Rezaei N. Commercialization and regulation of regenerative medicine products: promises, advances and challenges. Biomed Pharmacother. 2022; 153: 113431.
68. Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Family Med Prim Care. 2019; 8(7): 2328-31.
69. Bresnick J. Big data, artificial intelligence, IoT may change healthcare in 2017. HealthIT Analytics. 2016 Nov 16.
70. Mackay BS, Marshall K, Grant-Jacob JA, Kanczler J, Eason RW, Oreffo ROC, et al. Modeling adult skeletal stem cell response to laser-machined topographies through deep learning. Tissue Cell. 2020; 67: 101442.
71. Kusumoto D, Yuasa S. The application of convolutional neural network to stem cell biology. Inflamm Regen. 2019; 39: 14.
72. Falk T, Mai D, Bensch R, Çiçek O, Abdulkadir A, Marrakchi Y, et al. U-Net: deep learning for cell counting, detection, and morphometry. Nat Methods. 2019; 16(1): 67-70.
73. Polak DJ. Regenerative medicine. Opportunities and challenges: a brief overview. J R Soc Interface. 2010; 7(Suppl 6): S777-81.