Issue 35, 2024

Effective cerebral tuberculosis treatment via nose-to-brain transport of anti-TB drugs using mucoadhesive nano-aggregates

Abstract

Central nervous system tuberculosis (CNS-TB) is a severe form of extra-pulmonary tuberculosis with high mortality and morbidity rates. The standard treatment regimen for CNS-TB parallels that of pulmonary TB, despite the challenge posed by the blood–brain barrier (BBB), which limits the efficacy of first-line anti-TB drugs (ATDs). Nose-to-brain (N2B) drug delivery offers a promising solution for achieving high ATD concentrations directly at infection sites in the brain while bypassing the BBB. This study aimed to develop chitosan nanoparticles encapsulating ATDs, specifically isoniazid (INH) and rifampicin (RIF). These nanoparticles were further processed into micro-sized chitosan nano-aggregates (NA) via spray drying. Both INH-NA and RIF-NA showed strong mucoadhesion and significantly higher permeation rates across RPMI 2650 cells compared to free ATDs. Intranasal administration of these NAs to TB-infected mice for four weeks resulted in a significant reduction of mycobacterial load by approximately ∼2.86 Log 10 CFU compared to the untreated group. This preclinical data highlights the efficacy of intranasal chitosan nano-aggregates in treating CNS-TB, demonstrating high therapeutic potential, and addressing brain inflammation challenges. To our knowledge, this study is the first to show nasal delivery of ATD nano-formulations for CNS-TB management.

Graphical abstract: Effective cerebral tuberculosis treatment via nose-to-brain transport of anti-TB drugs using mucoadhesive nano-aggregates

Supplementary files

Article information

Article type
Paper
Submitted
25 Qas 2024
Accepted
17 Qad 2024
First published
30 Qad 2024

Nanoscale, 2024,16, 16485-16499

Effective cerebral tuberculosis treatment via nose-to-brain transport of anti-TB drugs using mucoadhesive nano-aggregates

K. Jadhav, A. Jhilta, R. Singh, E. Ray, V. Kumar, A. B. Yadav, A. K. Singh and R. K. Verma, Nanoscale, 2024, 16, 16485 DOI: 10.1039/D4NR02621G

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