Anti-obesity effect of a novel caffeine-loaded dissolving microneedle patch in high-fat diet-induced obese C57BL/6J mice

Manita Dangol, Suyong Kim, Cheng Guo Li, Shayan Fakhraei Lahiji, Mingyu Jang, Yonghao Ma, Inyoung Huh, Hyungil Jung

Research output: Contribution to journalArticlepeer-review

58 Citations (Scopus)

Abstract

Natural products such as caffeine have been found to be effective in reducing body weight through lipolysis. Here, we report the successful loading of caffeine onto dissolving microneedle following inhibition of its crystal growth by hyaluronic acid (HA), the matrix material of the dissolving microneedle (DMN). Further, the anti-obesity activity of caffeine was evaluated in high-fat diet-induced obese C57BL/6J mice. After 6 weeks of caffeine loaded dissolving microneedle patch (CMP) administration, lipolysis improved significantly as shown by leptin and adiponectin activity, which resulted in considerable weight loss of about 12.8 ± 0.75% in high-fat diet-induced obese mice. Comparison of the levels of triglyceride, total cholesterol, high-density lipoprotein (HDL)-cholesterol, and low-density lipoprotein (LDL)-cholesterol after CMP administration with the initial levels in obese mice indicated significant anti-obesity activity of CMP. These findings suggested that a novel CMP with an increased amount of caffeine loaded onto DMN has therapeutic activity against obesity.

Original languageEnglish
Pages (from-to)41-47
Number of pages7
JournalJournal of Controlled Release
Volume265
DOIs
Publication statusPublished - 2017 Nov 10

Bibliographical note

Funding Information:
This work was supported by the R&D program of MSIP/COMPA (2015K000201, Development of minimal pain multi-micro lancets for one-touch-smart diagnostic sensor). The authors would like to thank Chisong Lee and Geonwoo Kang for their assistance during the entire research.

Funding Information:
This work was supported by the R&D program of MSIP/COMPA ( 2015K000201 , Development of minimal pain multi-micro lancets for one-touch-smart diagnostic sensor). The authors would like to thank Chisong Lee and Geonwoo Kang for their assistance during the entire research.

Publisher Copyright:
© 2017 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Pharmaceutical Science

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