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Solid Lipid Nanoparticles Encapsulated With Paromomycin: An Effective Oral Formulation Against Leishmania major in Mouse Model.

  • Published In: Parasite Immunology, 2025, v. 47, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Heidari‐Kharaji, Maryam; Rodrigues, Priscilla; Petersen, Christina 3 of 3

Abstract

Leishmaniasis is a disease caused by protozoan parasites of the genus Leishmania. The treatment of intracellular infections such as leishmaniasis is often challenging due to limited drug access to infected cells and the development of drug resistance. Therefore, the development of new antileishmanial compounds is essential. Paromomycin sulphate (PM) has shown promise as an antileishmanial drug, and one way to enhance its effectiveness is through appropriate delivery systems. Solid lipid nanoparticles (SLN) are being explored as a potential delivery system for PM, as they offer advantages over other colloidal carriers. In a recent study, PM was loaded into solid lipid nanoparticles (PM‐SLN) and its oral effectiveness was evaluated in treating Leishmania (L.) major‐infected mice. The study measured footpad swelling, quantified parasite load through real‐time PCR and assessed levels of cytokines such as interleukin‐4 (IL‐4) and gamma interferon (IFN‐c), nitric oxide (NO) and Arginase (ARG). Overall, the study demonstrated that oral administration of the PM‐SLN formulation is safe and effective in treating leishmaniasis. The SLN in the PM‐SLN compound improved the killing of parasites by PM and stimulated a Th1 immune response, indicating its potential as a treatment for leishmaniasis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Parasite Immunology. 2025/02, Vol. 47, Issue 2, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0141-9838
  • DOI:10.1111/pim.70002
  • Accession Number:183913910
  • Copyright Statement:Copyright of Parasite Immunology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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