TY - JOUR
T1 - Advances in dissolving microneedles-based drug delivery system for treating dermatological diseases
AU - Chen, Gang
AU - Li, Jiaying
AU - Bu, Qinglei
AU - Li, Yujiang
AU - Chen, Ziyang
AU - Sun, Jie
AU - Li, Yongyong
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/5
Y1 - 2025/5
N2 - Different from common methods for dermatological diseases treatment, dissolving MNs (DMNs) loaded with active pharmaceutical ingredients (APIs) have been identified as a promising approach for the delivery of drugs and vaccines, which revolutionize drug delivery with controlled release rates at target topical lesions. Hence, drugs can be designed and delivered to meet individual needs through controlling the dose and ingredients. The objectives of this study are to collate, analyze, categorize, and summarize published articles and papers pertaining to DMNs and its applications on dermatological diseases, as well as to provide a critical insight into the direction of its future development. From the available references, DMNs should be designed with sufficient mechanical strength, needle length and dissolvability for specific disease treatment. The available machine learning applications potentially applicable to optimize DMNs design and evaluate its efficacy are presented. Essentially, DMNs provides an effective solution for skin disease treatment and customized drug release for clinical applications.
AB - Different from common methods for dermatological diseases treatment, dissolving MNs (DMNs) loaded with active pharmaceutical ingredients (APIs) have been identified as a promising approach for the delivery of drugs and vaccines, which revolutionize drug delivery with controlled release rates at target topical lesions. Hence, drugs can be designed and delivered to meet individual needs through controlling the dose and ingredients. The objectives of this study are to collate, analyze, categorize, and summarize published articles and papers pertaining to DMNs and its applications on dermatological diseases, as well as to provide a critical insight into the direction of its future development. From the available references, DMNs should be designed with sufficient mechanical strength, needle length and dissolvability for specific disease treatment. The available machine learning applications potentially applicable to optimize DMNs design and evaluate its efficacy are presented. Essentially, DMNs provides an effective solution for skin disease treatment and customized drug release for clinical applications.
KW - Dermatological diseases
KW - Dissolving microneedles
KW - Transdermal drug delivery system
UR - http://www.scopus.com/inward/record.url?scp=86000612339&partnerID=8YFLogxK
U2 - 10.1016/j.jddst.2025.106785
DO - 10.1016/j.jddst.2025.106785
M3 - Review article
AN - SCOPUS:86000612339
SN - 1773-2247
VL - 107
JO - Journal of Drug Delivery Science and Technology
JF - Journal of Drug Delivery Science and Technology
M1 - 106785
ER -