Evidence map›Paper›PMID 37242754›Full record

ArticlePharmaceutics2023

Cationic BODIPY Photosensitizers for Mitochondrion-Targeted Fluorescence Cell-Imaging and Photodynamic Therapy.

Isabel Wen Badon, Jun-Pil Jee, Temmy Pegarro Vales, Chanwoo Kim, Seungbin Lee, Jaesung Yang, Si Kyung Yang, Ho-Joong Kim

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Novel BODIPY Dyes with aBiomedicines · 2025
    Article
  4. Article
  5. Article
  6. Review
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.

Isabel Wen BadonDepartment of Chemistry, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0001-6145-4506
Jun-Pil JeeDrug Delivery Research Lab, College of Pharmacy, Chosun University, Gwangju 61452, Republic of Korea.
Temmy Pegarro ValesDepartment of Chemistry, Caraga State University, Butuan City 8600, Philippines.ORCID 0000-0002-3257-9817
Chanwoo KimDepartment of Chemistry, Yonsei University, Wonju 26493, Republic of Korea.
Seungbin LeeDepartment of Chemistry, Yonsei University, Wonju 26493, Republic of Korea.
Jaesung YangDepartment of Chemistry, Yonsei University, Wonju 26493, Republic of Korea.ORCID 0000-0002-3849-3408
Si Kyung YangDepartment of Chemistry Education, Chonnam National University, Gwangju 61186, Republic of Korea.
Ho-Joong KimDepartment of Chemistry, Chosun University, Gwangju 61452, Republic of Korea.

Funding

Chosun University 2017
6 · The paper itself

Abstract

The straightforward synthesis of three cationic boron-dipyrromethene (BODIPY) derivatives and their mitochondria-targeting and photodynamic therapeutic (PDT) capabilities are reported. Two cancer cell lines (HeLa and MCF-7) were used to investigate the PDT activity of the dyes. Compared to their non-halogenated counterparts, halogenated BODIPY dyes exhibit lower fluorescence quantum yields and enable the efficient production of singlet oxygen species. Following LED light irradiation at 520 nm, the synthesized dyes displayed good PDT capabilities against the treated cancer cell lines, with low cytotoxicity in the dark. In addition, functionalization of the BODIPY backbone with a cationic ammonium moiety enhanced the hydrophilicity of the synthesized dyes and, consequently, their uptake by the cells. The results presented here collectively demonstrate the potential of cationic BODIPY-based dyes as therapeutic drugs for anticancer photodynamic therapy.

Indexed as

BODIPYcationicmitochondriaphotodynamic therapyphotosensitizer

Identifiers

PMID37242754
PMCPMC10223002

What OpenQuestion holds

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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.