Evidence map›Paper›PMID 25407545›Full record

ArticlePharmaceutical research2015

Rifampicin loaded mannosylated cationic nanostructured lipid carriers for alveolar macrophage-specific delivery.

Xu Song, Qing Lin, Ling Guo, Yao Fu, Jianfeng Han, Huan Ke, Xun Sun, Tao Gong, Zhirong Zhang

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Article in Pharmaceutical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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  13. Nanostructured lipid carriers (NLCs) as drug delivery platform: Advances in formulation and delivery strategies.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2021
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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.

Xu SongKey Laboratory of Drug Targeting and Drug Delivery Systems, Ministry of Education, Sichuan University, Chengdu, People's Republic of China.
Qing Lin
Ling Guo
Yao Fu
Jianfeng Han
Huan Ke
Xun Sun
Tao Gong
Zhirong Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, cationic mannosylated nanostructured lipid carriers (Man-NLCs) were developed for the targeted delivery of rifampicin to alveolar macrophages.

methodsRifampicin loaded Man-NLCs (RFP-Man-NLCs) and rifampicin loaded unmodified nanostructured lipid carriers (REP-NLCs) were prepared using thin film homogenization method and characterized by particle size, polydispersity index, zeta potential, transmission electron microscopy, encapsulation efficiency, pharmacokinetics, biodistribution, cell specific targeting, cytotoxicity and inflammatory response.

resultsRFP-Man-NLCs and REP-NLCs obtained displayed a size distribution around 160 nm (PDI <0.30) with positive charges of approximately 30 mV. The encapsulation efficiency of RFP was above 90%. In the biodistribution study, both RFP-Man-NLCs and RFP-NLCs, compared with the commercially available rifampicin solution, displayed superior lung-targeting ability. Compared to REP-NLCs, RFP-Man-NLCs exhibited significantly higher uptake efficiency in NR8383 cells and alveolar macrophages, which achieved cell-specific targeting. In addition, RFP-Man-NLCs were demonstrated to be a safe formulation with minimum toxicity and no inflammatory response.

conclusionsRFP-Man-NLCs provided an alternative strategy for selectively delivering rifampicin to alveolar macrophages.

Indexed as

Drug Delivery SystemsAnimalsAntibiotics, AntitubercularCell LineDrug CarriersHumansLipidsMacrophages, AlveolarMaleMannoseMiceNanostructuresParticle SizeRats, WistarRifampinTissue DistributionAntibiotics, AntitubercularDrug CarriersLipidsMannoseRifampin

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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.