Evidence map›Paper›PMID 36839952›Full record

ArticlePharmaceutics2023

Curcumin-Loaded Platelet Membrane Bioinspired Chitosan-Modified Liposome for Effective Cancer Therapy.

Shengli Wan, Qingze Fan, Yuesong Wu, Jingqing Zhang, Gan Qiao, Nan Jiang, Jie Yang, Yuanzhi Liu, Jingyan Li, Sawitree Chiampanichayakul and 4 more

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Bioengineered nanotechnology for nucleic acid delivery.Journal of controlled release : official journal of the Controlled Release Society · 2023
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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

14 authors at 3 institutions in 2 countries.

Shengli WanDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Qingze FanDepartment of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China.
Yuesong WuSchool of Pharmacy, Southwest Medical University, Luzhou 646000, China.
Jingqing ZhangChongqing Research Center for Pharmaceutical Engineering, Chongqing Medical University, Chongqing 400016, China.
Gan QiaoSchool of Pharmacy, Southwest Medical University, Luzhou 646000, China.
Nan JiangDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Jie YangDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Yuanzhi LiuDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Jingyan LiDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.
Sawitree ChiampanichayakulDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-3452-8511
Singkome TimaDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-3072-3715
Fei TongSchool of Pharmacy, Southwest Medical University, Luzhou 646000, China.
Songyot AnuchapreedaDivision of Clinical Microscopy, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-7259-4694
Jianming WuSchool of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.ORCID 0000-0002-6136-7469
Southwest Medical University · CNChiang Mai University · THChongqing Medical and Pharmaceutical College · CN

Funding

National Natural Science Foundation of China 22208269, 82074129 and 81774013
6 · The paper itself

Abstract

Cancer is a serious threat to human health, and chemotherapy for cancer is limited by severe side effects. Curcumin (CUR) is a commonly used natural product for antitumor treatment without safety concerns. However, low bioavailability and poor tumor accumulation are great obstacles for its clinical application. Our previous research has demonstrated that platelet membrane-camouflaged nanoparticles can efficiently ameliorate the in vivo kinetic characteristics and enhance the tumor affinity of payloads. Nevertheless, the antitumor efficiency of this formulation still needs to be thoroughly investigated, and its drug release behavior is limited. Herein, CUR-loaded platelet membrane bioinspired chitosan-modified liposome (PCLP-CUR) was constructed to improve CUR release. PCLP-CUR was shown to have long retention time, improved bioavailability, strong tumor targeting capacity and effective cellular uptake. The incorporation of chitosan enabled PCLP-CUR to release cargoes quickly under mild acidic tumor conditions, leading to more complete drug release and favoring subsequent treatment. Both in vitro and in vivo investigations showed that PCLP-CUR could significantly enhance the anticancer efficacy of CUR with minimal side effects through biomimetic membrane and chitosan modification. In summary, this developed delivery system can provide a promising strategy for tumor-targeting therapy and phytochemical delivery.

Indexed as

biomimetic camouflagecurcuminliposomeplatelet membranetumor-targeted delivery

Identifiers

PMID36839952
PMCPMC9965064
OpenAlexW4320492172

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.