Evidence map›Paper›PMID 32245153›Full record

ArticleNanomaterials (Basel, Switzerland)2020

In Vivo Biodistribution of Respirable Solid Lipid Nanoparticles Surface-Decorated with a Mannose-Based Surfactant: A Promising Tool for Pulmonary Tuberculosis Treatment?

Eleonora Truzzi, Thais Leite Nascimento, Valentina Iannuccelli, Luca Costantino, Eliana Martins Lima, Eliana Leo, Cristina Siligardi, Magdalena Lassinantti Gualtieri, Eleonora Maretti

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Advances in Inhaled Nanoparticle Drug Delivery for Pulmonary Disease Management.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
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  15. Review
  16. Article
  17. Amniotic fluid stabilized lipid nanoparticles for in utero intra-amniotic mRNA delivery.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  18. Article
  19. Review
  20. Nanoparticle Delivery Systems with Cell-Specific Targeting for Pulmonary Diseases.American journal of respiratory cell and molecular biology · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Eleonora TruzziDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Thais Leite NascimentoLaboratory of Pharmaceutical Technology, Federal University of Goiás, Goiânia, Goiás 74605-170, Brazil.ORCID 0000-0002-2656-7609
Valentina IannuccelliDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0001-6119-5794
Luca CostantinoDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Eliana Martins LimaLaboratory of Pharmaceutical Technology, Federal University of Goiás, Goiânia, Goiás 74605-170, Brazil.ORCID 0000-0003-1231-5803
Eliana LeoDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0003-4721-1676
Cristina SiligardiDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0003-1642-832X
Magdalena Lassinantti GualtieriDepartment of Engineering "Enzo Ferrari", University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0001-7317-2661
Eleonora MarettiDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0003-0048-2612
University of Modena and Reggio Emilia · ITUniversidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The active targeting to alveolar macrophages (AM) is an attractive strategy to improve the therapeutic efficacy of 'old' drugs currently used in clinical practice for the treatment of pulmonary tuberculosis. Previous studies highlighted the ability of respirable solid lipid nanoparticle assemblies (SLNas), loaded with rifampicin (RIF) and functionalized with a novel synthesized mannose-based surfactant (MS), both alone and in a blend with sodium taurocholate, to efficiently target the AM via mannose receptor-mediated mechanism. Here, we present the in vivo biodistribution of these mannosylated SLNas, in comparison with the behavior of both non-functionalized SLNas and bare RIF. SLNas biodistribution was assessed, after intratracheal instillation in mice, by whole-body real-time fluorescence imaging in living animals and RIF quantification in excised organs and plasma. Additionally, SLNas cell uptake was determined by using fluorescence microscopy on AM from bronchoalveolar lavage fluid and alveolar epithelium from lung dissections. Finally, histopathological evaluation was performed on lungs 24 h after administration. SLNas functionalized with MS alone generated the highest retention in lungs associated with a poor spreading in extra-pulmonary regions. This effect could be probably due to a greater AM phagocytosis with respect to SLNas devoid of mannose on their surface. The results obtained pointed out the unique ability of the nanoparticle surface decoration to provide a potential more efficient treatment restricted to the lungs where the primary tuberculosis infection is located.

Indexed as

active targetingalveolar macrophagesin vivo administrationlipid nanoparticlestuberculosis

Identifiers

PMID32245153
PMCPMC7153707
OpenAlexW3010950869

What OpenQuestion holds

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Registered trials

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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.