Evidence map›Paper›PMID 33050126›Full record

ArticlePharmaceutics2020

Homotype-Targeted Biogenic Nanoparticles to Kill Multidrug-Resistant Cancer Cells.

Imran Shair Mohammad, Birendra Chaurasiya, Xuan Yang, Chuchu Lin, Hehui Rong, Wei He

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Imran Shair MohammadDepartment of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0002-1351-0216
Birendra ChaurasiyaDepartment of Pediatrics, Division of Critical Care, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Xuan YangSchool of Pharmaceutical Sciences, Sun Yat-sen University, University Town, Guangzhou 510006, China.
Chuchu LinSchool of Pharmaceutical Sciences, Sun Yat-sen University, University Town, Guangzhou 510006, China.
Hehui RongSchool of Pharmaceutical Sciences, Sun Yat-sen University, University Town, Guangzhou 510006, China.
Wei HeDepartment of Pharmaceutics, School of Pharmacy, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0003-3075-3831
Sun Yat-sen University · CNChina Pharmaceutical University · CNNorthwestern University · US

Funding

National Natural Science Foundation of China 81872823
6 · The paper itself

Abstract

"Off-targeting" and receptor density expressed at the target sites always compromise the efficacy of the nanoparticle-based drug delivery systems. In this study, we isolated different cell membranes and constructed cell membrane-cloaked biogenic nanoparticles for co-delivery of antitumor paclitaxel (PTX) and multidrug resistance (MDR)-modulator disulfiram (DSF). Consequently, MDR cancer cell membrane (A549/T)-coated hybrid nanoparticles (A549/T CM-HNPs) selectively recognized the source cells and increased the uptake by ninefold via the homotypic binding mechanism. Moreover, the A549/T CM-HNPs sensitized MDR cells to PTX by suppressing P-glycoprotein (P-gp) activity by 3.2-fold and induced effective apoptosis (70%) in homologous A549/T cells. Cell-membrane coating based on the "homotypic binding" is promising in terms of promoting the accumulation of chemotherapeutics in MDR cells and killing them.

Indexed as

apoptosisbiogenic nanoparticleshomotypic bindingmultidrug resistanceP-gp

Identifiers

PMID33050126
PMCPMC7600481
OpenAlexW3092346776

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.