Evidence map›Paper›PMID 33195942›Full record

ArticleACS omega2020

Targeting Delivery Nanocarriers for (+)-Terrein to Enhance Its Anticancer Effects.

Yao-Yao Jiang, Feng-Li Yuan, Jin-Wen Li, Hong-E Wu, Mei-Yan Wei, Chang-Lun Shao, Ming Liu, Guan-Hai Wang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Yao-Yao JiangSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Feng-Li YuanSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Jin-Wen LiSchool of Pharmacy, Guangdong Medical University, Dongguan 523808, China.
Hong-E WuSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Mei-Yan WeiSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Chang-Lun ShaoSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Ming LiuSchool of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China.
Guan-Hai WangSchool of Pharmacy, Guangdong Medical University, Dongguan 523808, China.
Ocean University of China · CNGuangdong Medical College · CNQingdao National Laboratory for Marine Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a compound from marine fungi, (+)-terrein showed significant anticancer activity. In this study, (+)-terrein was extracted from the marine-derived fungus and showed significant cytotoxicity against cancer cells, especially in A549 cells. To enhance its anticancer effects, redox-responsive nanocarriers based on folic acid-chitosan decorating the mesoporous silica nanoparticles were designed to control (+)-terrein target delivery into cancer cells. (+)-Terrein was loaded in the holes, and folic acid-chitosan worked as a gatekeeper by disulfide linkage controlling (+)-terrein release in the tumor microenvironment. The (+)-terrein drug delivery systems exhibited cytotoxicity toward A549 cells through induction of apoptosis. The apoptosis effect was confirmed by the increase in the expression of cleaved caspase-3, caspase-9, and PARP. Taken together, this work evaluates for the first time the (+)-terrein delivery system and provides a promising nanomedicine platform for (+)-terrein.

Identifiers

PMID33195942
PMCPMC7659136
OpenAlexW3096660356

What OpenQuestion holds

Textmetadata
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.