Evidence map›Paper›PMID 33572365›Full record

ReviewInternational journal of molecular sciences2021

Viral Nanoparticle System: An Effective Platform for Photodynamic Therapy.

Shujin Lin, Chun Liu, Xiao Han, Haowei Zhong, Cui Cheng

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. In silico study of active delivery of a photodynamic therapy drug targeting the folate receptor.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
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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

5 authors.

Shujin LinCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Chun LiuCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0001-8164-2790
Xiao HanCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Haowei ZhongCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Cui ChengCollege of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0003-2872-2956

Funding

National Natural Science Foundation of China 81901896Scientific Research Foundation of Fuzhou University GXRC-19025Tianjin University-Fuzhou University Independent Innovation Fund TF2020-8
6 · The paper itself

Abstract

Photodynamic therapy (PDT) is a promising therapy due to its efficiency and accuracy. The photosensitizer is delivered to the target lesion and locally activated. Viral nanoparticles (VNPs) have been explored as delivery vehicles for PDT in recent years because of their favorable properties, including simple manufacture and good safety profile. They have great potential as drug delivery carriers in medicine. Here, we review the development of PDT photosensitizers and discuss applications of VNP-mediated photodynamic therapies and the performance of VNPs in the treatment of tumor cells and antimicrobial therapy. Furthermore, future perspectives are discussed for further developing novel viral nanocarriers or improving existing viral vectors.

Indexed as

Anti-Bacterial AgentsAntineoplastic AgentsBacterial InfectionsDrug CarriersHumansNanoparticlesNeoplasmsPhotochemotherapyPhotosensitizing AgentsVirusesAnti-Bacterial AgentsAntineoplastic AgentsDrug CarriersPhotosensitizing Agentsphotodynamic therapyphotosensitizerviral nanoparticles

Identifiers

PMID33572365
PMCPMC7916136

What OpenQuestion holds

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LicenceCC BY
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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.