Evidence map›Paper›PMID 42801180›Full record

ArticleInternational journal of nanomedicine2026

Inhalable Nanocrystal-in-Microparticle of Linezolid in Pulmonary Tuberculosis.

Eknath Kole, Krishna Jadhav, Rahul K Verma, Jitendra B Naik

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Eknath KoleDepartment of Pharmaceutical Technology, University Institute of Chemical Technology, KBC North Maharashtra University, Jalgaon, MH, 425001, India.ORCID 0000-0002-0782-581X
Krishna JadhavPharmaceutical Nanotechnology Lab, Institute of Nano Science and Technology, Sahibzada Ajit Singh Nagar (Mohali), PB, 140306, India.ORCID 0000-0002-5875-2315
Rahul K VermaPharmaceutical Nanotechnology Lab, Institute of Nano Science and Technology, Sahibzada Ajit Singh Nagar (Mohali), PB, 140306, India.ORCID 0000-0003-0719-8227
Jitendra B NaikDepartment of Pharmaceutical Technology, University Institute of Chemical Technology, KBC North Maharashtra University, Jalgaon, MH, 425001, India.ORCID 0000-0001-8906-7903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) remains a major global health challenge, necessitating the development of advanced pulmonary drug delivery systems to improve therapeutic efficacy. Linezolid (LZD), a second-line oxazolidinone antibiotic, is effective against multidrug-resistant Objective: This study aimed to engineer and optimise LZD nanocrystals (LZD-NCs) in microparticles for dry powder inhalation (DPI) using a Quality by Design (QbD)-based Central Composite Design (CCD) approach to enhance localised pulmonary delivery. Methods: LZD-NCs were initially prepared by high-pressure homogenization (HPH) and subsequently converted into respirable nanocrystals in microparticles (LZD-NIM) using spray drying. The LZD-NCs formulation was optimised using CCD. The developed formulation was evaluated for physicochemical characteristics, including solid-state characterisation, in vitro drug-release study, kinetic study, and aerosolisation behaviour and stability. Results: The optimised formulation exhibited an average particle size of 239.5 ± 16.30 nm, polydispersity index (PDI) of 0.285 ± 0.042, and surface charge of -34.5 ± 1.84 mV, indicating acceptable colloidal stability. Later, NIM effectively retained the physicochemical integrity of LZD-NCs. The developed NIM formulation exhibited improved drug release of 61.39% over 24 h, compared with pure LZD at 37.26%. An in vitro aerosolisation study demonstrated appropriateness for deep lung deposition of NIM with a mass median aerodynamic diameter (MMAD) of 2.9 ± 0.15 µm and high fine particle fractions (FPF) of 76.12 ± 1.3%. Conclusion: The engineered LZD-NIM successfully yielded a highly stable, aerodynamically efficient DPI platform with sustained drug release kinetics. The engineered platform demonstrates its potential as an effective pulmonary drug-delivery system for TB treatment.

Indexed as

Antitubercular AgentsNanoparticlesOxazolidinonesTuberculosis, PulmonaryAdministration, InhalationAerosolsDrug StabilityDry Powder InhalersLinezolidParticle SizeAerosolsAntitubercular AgentsLinezolidOxazolidinoneshigh pressure homogenizationlinezolidnanocrystalsspray dryingtuberculosis

Identifiers

PMID42801180
PMCPMC13615754

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.