The DOI matches its Crossref record; 196 of the 196 references it cites were found in a registry or an index.
Photodynamic Efficiency: From Molecular Photochemistry to Cell Death
Open accessAbstract
Photodynamic therapy (PDT) is a clinical modality used to treat cancer and infectious diseases. The main agent is the photosensitizer (PS), which is excited by light and converted to a triplet excited state. This latter species leads to the formation of singlet oxygen and radicals that oxidize biomolecules. The main motivation for this review is to suggest alternatives for achieving high-efficiency PDT protocols, by taking advantage of knowledge on the chemical and biological processes taking place during and after photosensitization. We defend that in order to obtain specific mechanisms of cell death and maximize PDT efficiency, PSes should oxidize specific molecular targets. We consider the role of subcellular localization, how PS photochemistry and photophysics can change according to its nanoenvironment, and how can all these trigger specific cell death mechanisms. We propose that in order to develop PSes that will cause a breakthrough enhancement in the efficiency of PDT, researchers should first consider tissue and intracellular localization, instead of trying to maximize singlet oxygen quantum yields in in vitro tests. In addition to this, we also indicate many open questions and challenges remaining in this field, hoping to encourage future research.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Photodynamic therapy for cancer
Dolmans, D. E. J. G. J., Fukumura, D., & Jain, R. K. (2003) · Nature Reviews Cancer · doi:10.1038/nrc1071 · Cited by 6,758
Photodynamic therapy of cancer: An update
Agostinis, P., Berg, K., Cengel, K. A., Foster, T. H., Girotti, A. W., Gollnick, S. O., Hahn, S. M., Hamblin, M. R., Juzeniene, A., Kessel, D., et al. (2011) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20114 · Cited by 5,145
Doherty, G. J., & McMahon, H. T. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.78.081307.110540 · Cited by 3,075
Photosensitized singlet oxygen and its applications
DeRosa, M. (2002) · Coordination Chemistry Reviews · doi:10.1016/s0010-8545(02)00034-6 · Cited by 2,931
The Pecking Order of Free Radicals and Antioxidants: Lipid Peroxidation, α-Tocopherol, and Ascorbate
Buettner, G. R. (1993) · Archives of Biochemistry and Biophysics · doi:10.1006/abbi.1993.1074 · Cited by 2,417
HOW DOES PHOTODYNAMIC THERAPY WORK?
Henderson, B. W., & Dougherty, T. J. (1992) · Photochemistry and Photobiology · doi:10.1111/j.1751-1097.1992.tb04222.x · Cited by 2,358
Physical Mechanisms of Generation and Deactivation of Singlet Oxygen
Schweitzer, C., & Schmidt, R. (2003) · Chemical Reviews · doi:10.1021/cr010371d · Cited by 2,123
Castano, A. P., Demidova, T. N., & Hamblin, M. R. (2004) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/s1572-1000(05)00007-4 · Cited by 2,052
Photodynamic therapy: a new antimicrobial approach to infectious disease?
Hamblin, M. R., & Hasan, T. (2004) · Photochemical & Photobiological Sciences · doi:10.1039/b311900a · Cited by 2,035
Wilkinson, F., Helman, W. P., & Ross, A. B. (1995) · Journal of Physical and Chemical Reference Data · doi:10.1063/1.555965 · Cited by 1,468
Cited by
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., et al. (2021) · Autophagy · doi:10.1080/15548627.2020.1797280 · Cited by 2,897
Self-citation
Metadata
- Authors
- Bacellar, I., Tsubone, T., Pavani, C., & Baptista, M.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2015-08-31
- Volume
- 16
- Issue
- 9
- Pages
- 20523-20559
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2157307148
- Cited by
- 401
- References
- 196
- FWCI
- 20.93
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Photodynamic Efficiency: From Molecular Photochemistry to Cell Death. https://app.cochat.ai/papers/10.3390/ijms160920523
- The paper
- Bacellar, I., Tsubone, T., Pavani, C., & Baptista, M. (2015). Photodynamic Efficiency: From Molecular Photochemistry to Cell Death. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms160920523
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.