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In Vitro and in Vivo Evaluation of Photocontrolled Biologically Active Compounds - Potential Drug Candidates for Cancer Photopharmacology

Horbatok, Kateryna; Makhnii, Tetyana; Kosach, Viktoriia; Danko, Volodymyr; Kovalenko, Andrey; Fatiushchenkov, Stanislav; Borysko, Petro; Pishel, Iryna; Babii, Oleg 1; Ulrich, Anne S. ORCID iD icon 1; Schober, Tim; Afonin, Sergii 2; Komarov, Igor V.
1 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
2 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)

Abstract:

Photocontrolled, biologically active compounds are an emerging class of "smart" drug candidates. They provide additional safety in systemic chemotherapy due to their precise spatiotemporal activation by directing a benign, non-ionizable light to a specific
location within the patient's body. This paper presents a set of methods to evaluate the in vitro potency and ex vivo efficiency of the photoactivation of photocontrolled, biologically active compounds as well as the in vivo efficacy at early stages of drug development. The methodology is applied to anticancer cytotoxic peptides, namely, the diarylethene-containing analogs of a known antibiotic, gramicidin S. The
experiments are performed using 2D (adherent cells) and 3D (spheroids) cell cultures of a cancer cell line (Lewis lung carcinoma, LLC), live tissue surrogates (pork meat mince), and an allograft cancer model (subcutaneous LLC) in immunocompetent mice. The selection of the most effective ompounds and estimation of realistic phototherapeutic windows are performed via automated fluorescence microscopy. The photoactivation efficiency at varying illumination regimens is determined at different depths in a model tissue, and the optimal light dosage is applied in the final therapeutic in vivo experiment


Verlagsausgabe §
DOI: 10.5445/IR/1000163905
Frei zugänglich ab 30.09.2025
Originalveröffentlichung
DOI: 10.3791/64902
Scopus
Zitationen: 2
Web of Science
Zitationen: 1
Dimensions
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1940-087X
KITopen-ID: 1000163905
HGF-Programm 47.14.01 (POF IV, LK 01) Molekular Information Processing in Cellular Systems
Erschienen in Journal of Visualized Experiments
Verlag MyJove Corporation
Band 2023
Heft 199
Seiten e64902
Vorab online veröffentlicht am 29.09.2023
Nachgewiesen in Dimensions
Web of Science
Scopus
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