Advancing liposome technology for innovative strategies against malaria

Andang Miatmoko, Rifda Tarimi Octavia, Tamasa Araki, Takeshi Annoura, Retno Sari

Research output: Contribution to journalReview articlepeer-review

Abstract

This review discusses the potential of liposomes as drug delivery systems for antimalarial therapies. Malaria continues to be a significant cause of mortality and morbidity, particularly among children and pregnant women. Drug resistance due to patient non-compliance and troublesome side effects remains a significant challenge in antimalarial treatment. Liposomes, as targeted and efficient drug carriers, have garnered attention owing to their ability to address these issues. Liposomes encapsulate hydrophilic and/or hydrophobic drugs, thus providing comprehensive and suitable therapeutic drug delivery. Moreover, the potential of passive and active drug delivery enables drug concentration in specific target tissues while reducing adverse effects. However, successful liposome formulation is influenced by various factors, including drug physicochemical characteristics and physiological barriers encountered during drug delivery. To overcome these challenges, researchers have explored modifications in liposome nanocarriers to achieve efficient drug loading, controlled release, and system stability. Computational approaches have also been adopted to predict liposome system stability, membrane integrity, and drug-liposome interactions, improving formulation development efficiency. By leveraging computational methods, optimizing liposomal drug delivery systems holds promise for enhancing treatment efficacy and minimizing side effects in malaria therapy. This review consolidates the current understanding and highlights the potential of liposome strategies against malaria.

Original languageEnglish
Article number102085
JournalSaudi Pharmaceutical Journal
Volume32
Issue number6
DOIs
Publication statusPublished - Jun 2024

Keywords

  • Computational approaches
  • Formulation
  • Liposome
  • Liposomes
  • Malaria
  • Targeting delivery

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