Evidence map›Paper›PMID 34766544›Full record

ArticleDrug delivery2021

Layer-by-layer coated hybrid nanoparticles with pH-sensitivity for drug delivery to treat acute lung infection.

Ji Luo, Xiaobo Li, Siyuan Dong, Peiyao Zhu, Wenke Liu, Shuguang Zhang, Jiang Du

Abstract read
In one paragraph

Article in Drug delivery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. Article
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  10. Smart stimuli-responsive drug delivery systems in spotlight of COVID-19.Asian journal of pharmaceutical sciences · 2023
    Review
  11. 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

7 authors.

Ji LuoDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Xiaobo LiDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Siyuan DongDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Peiyao ZhuDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Wenke LiuDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Shuguang ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.
Jiang DuDepartment of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria-induced acute lung infection (ALI) is a severe burden to human health, which could cause acute respiratory distress syndrome (ARDS) and kill the patient rapidly. Therefore, it is of great significance to develop effective nanomedicine and therapeutic approach to eliminate the invading bacteria in the lung and manage ALI. In this study, we design a layer-by-layer (LbL) liposome-polymer hybrid nanoparticle (HNP) with a pH-triggered drug release profile to deliver antibiotics for the eradication of bacteria to treat ALI. The liposome is prepared by the lipid film hydration method with a homogenous hydrodynamic diameter and low polydispersity index (PDI). The antibiotic spectinomycin is efficiently loaded into the liposomal core through the pH-gradient method. The pH-sensitive polycationic polymer poly(

Indexed as

AlginatesAnimalsAnti-Bacterial AgentsCell SurvivalChemistry, PharmaceuticalDrug CarriersDrug LiberationDrug StabilityHydrogen-Ion ConcentrationLiposomesMethicillin-Resistant Staphylococcus aureusMiceMicrobial Sensitivity TestsNanoparticlesNIH 3T3 CellsParticle SizeAlginatesAnti-Bacterial AgentsDrug CarriersLiposomespoly(beta-amino ester)PolymersSpectinomycinALIantimicrobialhybrid NPLayer-by-layerpH-responsive

Identifiers

PMID34766544
PMCPMC8592614

What OpenQuestion holds

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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.