Evidence map›Paper›PMID 32848393›Full record

ArticleInternational journal of nanomedicine2020

Synergistic Combination of Sodium Aescinate-Stabilized, Polymer-Free, Twin-Like Nanoparticles to Reverse Paclitaxel Resistance.

Juan Li, Lei Zheng, Rongmei Wang, Deqing Sun, Shuang Liang, Jing Wu, Yongqing Liu, Xiaona Tian, Tingting Li, Yang Yang and 1 more

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

11 authors at 4 institutions in 2 countries.

Juan LiDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Lei ZhengDepartment of Pharmacy, Shandong Provincial Third Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250031, People's Republic of China.ORCID 0000-0002-7820-6776
Rongmei WangDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Deqing SunDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Shuang LiangSchool of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, People's Republic of China.
Jing WuDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Yongqing LiuDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Xiaona TianDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Tingting LiDepartment of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA.
Yang YangChina National Center for Biotechnology Development, Beijing 100039, People's Republic of China.
Leiqiang HanDepartment of Clinical Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250033, People's Republic of China.
Second Hospital of Shandong University · CNShandong University · CNChina National Center for Biotechnology Development · CNUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of paclitaxel (PTX) resistance seriously restricts its clinical efficacy. An attractive option for combating resistance is inhibiting the expression of P-glycoprotein (P-gp) in tumor cells. We have reported that flavokawain A (FKA) inhibited P-gp protein expression in PTX-resistant A549 (A549/T) cells, indicating that FKA combined with PTX may reverse PTX resistance. However, due to the variable pharmacokinetics of FKA and PTX, the conventional cocktail combination in clinics may cause uncertainty of treatment efficacy in vivo. MATERIALS AND

methodsTo synergistically elevate the anti-cancer activity of PTX and FKA in vivo, the national medical products administration (NMPA) approved sodium aescinate (Aes) was utilized to stabilize hydrophobic PTX and FKA to form polymer-free twin like PTX-A nanoparticles (NPs) and FKA-A NPs.

resultsThe resulting nanoparticles prepared simply by nanoprecipitation possessed similar particle size, good stability and ultrahigh drug loadings of up to 50%. With the aid of Aes, these two drugs accumulated in tumor tissue by passive targeting and were efficiently taken up by A549/T cells; this resulted in significant suppression of tumor growth in A549/T homograft mice at a low PTX dose (2.5 mg·kg

conclusionUsing NMPA-approved Aes to prepare twin-like nanoparticles without introducing any new materials provides an efficient platform for combination chemotherapy and clinical translation.

Indexed as

A549 CellsAnimalsAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorChalconeDrug Resistance, NeoplasmDrug StabilityDrug SynergismFemaleHumansHydrophobic and Hydrophilic InteractionsMice, Inbred BALB CNanoparticlesPaclitaxelParticle SizePolymersChalconeflavokawain APaclitaxelPolymersSaponinssodium aescinateTriterpenescombination therapyflavokawain Apaclitaxel resistancepolymer-free nanoparticlessodium aescinate

Identifiers

PMID32848393
PMCPMC7428345
OpenAlexW3046983597

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.