Evidence map›Paper›PMID 32946043›Full record

ArticleDrug delivery and translational research2021

Inhalable solid lipid nanoparticles for intracellular tuberculosis infection therapy: macrophage-targeting and pH-sensitive properties.

Cheng Ma, Mingjun Wu, Weifen Ye, Zhengwei Huang, Xiangyu Ma, Wenhao Wang, Wenhua Wang, Ying Huang, Xin Pan, Chuanbin Wu

Erratum issuedAbstract read
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In one paragraph

Article in Drug delivery and translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 82 citations in OpenAlex.

  1. Biofilm Associated Persistence and Drug Tolerance in Mycobacteria Within Host Microenvironments.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
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  6. Mannosamine-Modified Poly(lactic-Bioconjugate chemistry · 2025
    Article
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  8. Review
  9. Article
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  11. Review
  12. Review
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  18. [Potential use of liposomes in tuberculosis treatment].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Review
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Cheng MaSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Mingjun WuSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Weifen YeSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Zhengwei HuangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Xiangyu MaCollege of Pharmacy, Molecular Pharmaceutics and Drug Delivery, The University of Texas at Austin, Austin, TX, USA.
Wenhao WangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Wenhua WangSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Ying HuangSchool of Pharmacy, Jinan University, Guangzhou, 510632, People's Republic of China. huangy2007@163.com.
Xin PanSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China. panxin2@mail.sysu.edu.cn.
Chuanbin WuSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Sun Yat-sen University · CNJinan University · CNThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium tuberculosis (MTB) is one of the most threatening pathogens for its latent infection in macrophages. The intracellular MTB isolated itself from drugs and could spread via macrophages. Therefore, a mannose-modified macrophage-targeting solid lipid nanoparticle, MAN-IC-SLN, loading the pH-sensitive prodrug of isoniazid (INH), was designed to treat the latent tuberculosis infection. The surface of SLNs was modified by a synthesized 6-octadecylimino-hexane-1,2,3,4,5-pentanol (MAN-SA) to target macrophages, and the modified SLNs showed a higher cell uptake in macrophages (97.2%) than unmodified SLNs (42.4%). The prodrug, isonicotinic acid octylidene-hydrazide (INH-CHO), was synthesized to achieve the pH-sensitive release of INH in macrophages. The INH-CHO-loaded SLNs exhibited a pH-sensitive release profile and accomplished a higher accumulated release in pH 5.5 media (82.63 ± 2.12%) compared with the release in pH 7.4 media (58.83 ± 3.84%). Mycobacterium smegmatis was used as a substitute for MTB, and the MAN-IC-SLNs showed a fourfold increase of intracellular antibiotic efficacy and enhanced macrophage uptake because of the pH-sensitive degradation of INH-CHO and MAN-SA in SLNs, respectively. For the in vivo antibiotic efficacy test, the SLNs group displayed an 83% decrease of the colony-forming unit while the free INH group only showed a 60% decrease. The study demonstrates that macrophage targeting and pH-sensitive SLNs can be used as a promising platform for the latent tuberculosis infection. Graphical Abstract Table of contents: Macrophage-targeting and pH-sensitive solid lipid nanoparticles (SLN) were administrated to the lung via nebulization. Macrophage targeting was achieved by appropriate particle size and surface mannose modification with synthesized MAN-SA. After being swallowed by macrophages, the prodrug, Isonicotinic acid octylidene-hydrazide (INH-CHO), quickly released isoniazid, which was triggered by the intracellular acid environment. The SLNs exhibited higher intracellular antibiotic efficacy due to their macrophage-targeting and pH-sensitive properties.

Indexed as

Latent TuberculosisNanoparticlesTuberculosisHumansHydrogen-Ion ConcentrationLiposomesMacrophagesLipid NanoparticlesLiposomesLatent tuberculosis infectionMannose modificationpH-sensitive release profileProdrugTargeting macrophages

Identifiers

PMID32946043
OpenAlexW3087733506

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.