Evidence map›Paper›PMID 40671924›Full record

ArticleSmart molecules : open access2025

A NIR light activated self-reporting carbon dots assembly as phototheranostics for tumor photodynamic therapy.

Ziyu Zhao, Tiejin Chen, Jian Li, Xiaokuang Xue, Jiechao Ge, Pengfei Wang

Abstract read
In one paragraph

Article in Smart molecules : open access, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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.

Ziyu ZhaoKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.
Tiejin ChenKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.
Jian LiKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.
Xiaokuang XueKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.
Jiechao GeKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-9094-2100
Pengfei WangKey Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photodynamic therapy (PDT) has emerged as a promising protocol for cancer therapy. However, real-time monitoring of PDT progress and accurate determination of the optimal treatment timing remain challenges. In this work, we selected carbon dots (CDs) and new indocyanine green (IR820) as building units to fabricate a smart nanotheranostics (CDs-IR820 assembly) with the characteristics of controlled release and real-time imaging to solve the time gap between diagnosis and treatment. The fabricated CDs-IR820 assembly locked the photosensitivity of the CDs and could degrade under 750 nm laser irradiation to achieve controlled release of the CDs, thus used for cell imaging and producing single oxygen under the white light. Besides, the released CDs could migrate from the mitochondria to the nucleus during the PDT process, indicating the cell activity, which facilitated the regulation of treatment parameters to achieve the precise PDT for cancer.

Indexed as

carbon dotslight responsephotodynamic therapyself‐report

Identifiers

PMID40671924
PMCPMC12262009

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.