Evidence map›Paper›PMID 32021193›Full record

ArticleInternational journal of nanomedicine2020

pH- and Ultrasound-Responsive Paclitaxel-Loaded Carboxymethyl Chitosan Nanodroplets for Combined Imaging and Synergistic Chemoradiotherapy.

Mengmeng Shang, Xiao Sun, Lu Guo, Dandan Shi, Ping Liang, Dong Meng, Xiaoying Zhou, Xinxin Liu, Yading Zhao, Jie Li

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2020. 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
  4. Article
  5. Review
  6. Article
  7. Smart nanogels for cancer treatment from the perspective of functional groups.Frontiers in bioengineering and biotechnology · 2023
    Review
  8. Article
  9. Article
  10. 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

10 authors.

Mengmeng ShangDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Xiao SunDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Lu GuoDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Dandan ShiDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Ping LiangDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing 100853, People's Republic of China.
Dong MengDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Xiaoying ZhouDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.ORCID 0000-0002-8329-4707
Xinxin LiuDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Yading ZhaoDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.
Jie LiDepartment of Ultrasound, Qilu Hospital of Shandong University, Jinan 250012, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSynergistic chemoradiotherapy (CRT) has become a primary effective curative approach for many solid cancers. However, CRT is still associated with several obstacles, including the increases in side effects and systemic toxicity. Incorporating nanocarriers into CRT is a new and exciting approach to solve these obstacles. The purpose of the present study was to design a unique pH- and ultrasound-responsive perfluoropentane-encapsulated, paclitaxel (PTX)-loaded carboxymethyl chitosan nanodroplets (NDs) for combined imaging and synergistic CRT. MATERIALS AND

methodsThe NDs were prepared by a homogenization/emulsion method. Their physicochemical properties, echogenicity and biocompatibility were evaluated. PTX-loaded NDs with a high loading efficiency and encapsulation efficiency were prepared and their pH-responsive drug release profile was determined by dialysis sack method. Then, PC3 cells were exposed to (1) PTX (4 μg/mL), (2) NDs (30 μg/mL), (3) PTX-loaded NDs (34 μg/mL), (4) RT (6 Gy), (5) RT (10 Gy), (6) combination of PTX (4 μg/mL), ultrasound (0.5 W/cm

resultsThe desired NDs were successfully prepared, which were with round, spherical shapes, relatively smooth surfaces, core-shell structures and uniform in sizes (<300 nm with PDI<0.3 when at pH≧6.0). The NDs exhibited good abilities in pH-dependent charge conversion, biocompatibility and ultrasound contrast echogenicity. The in vitro drug release from PTX-loaded NDs (the highest loading efficiency and encapsulation efficiency were 20.35% and 91.58%) was pH dependent and exhibited an initial burst followed by a sustained drug release. The results of the CCK-8 assay, flow cytometry and migration assay all showed PTX-loaded NDs combined ultrasound and RT significantly enhanced cell responses in CRT.

conclusionThe pH- and ultrasound-responsive PTX-loaded NDs, which exhibited a high echogenicity, drug delivery ability and radiosensitization ability, could be a feasible option for combined imaging and novel enhancing approach in synergistic CRT.

Indexed as

Cell Line, TumorChemoradiotherapyChitosanDelayed-Action PreparationsDrug Delivery SystemsDrug LiberationFluorocarbonsHumansHydrogen-Ion ConcentrationMaleNanostructuresPaclitaxelParticle SizePentanesProstatic NeoplasmsUltrasonographycarboxymethyl-chitosanChitosanDelayed-Action PreparationsFluorocarbonsPaclitaxelPentanesperfluoropentanechemoradiotherapychitosannanodropletspaclitaxelradiosensitizerultrasound contrast agents

Identifiers

PMID32021193
PMCPMC6988588

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.