Analyzing molecular determinants of nanodrugs’ cytotoxic effects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F25%3A00637331" target="_blank" >RIV/68378271:_____/25:00637331 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:10513052 RIV/00023001:_____/25:00085766
Result on the web
<a href="https://hdl.handle.net/11104/0368232" target="_blank" >https://hdl.handle.net/11104/0368232</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/ijms26146687" target="_blank" >10.3390/ijms26146687</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing molecular determinants of nanodrugs’ cytotoxic effects
Original language description
Nanodrugs hold great promise for targeted therapies, but their potential for cytotoxicity remains a major area of concern, threatening both patient safety and clinical translation. In this systematic review, we conducted a systematic investigation of nanotoxicity studies—identified through an AI-assisted screening procedure using Scopus, PubMed, and Elicit AI—to establish the molecular determinants of nanodrug-induced cytotoxicity. Our findings reveal three dominant and linked mechanisms that consistently act in a range of nanomaterials: oxidative stress, inflammatory signaling, and lysosomal disruption. Key nanomaterial properties like chemical structure, size, shape, surface charge, tendency to aggregate, and biocorona formation control these pathways, modulating cellular uptake, reactive oxygen species generation, cytokine release, and subcellular injury. Notably, the most frequent mechanism was oxidative stress, which often initiated downstream inflammatory and apoptotic signaling. By linking these toxicity pathways with particular nanoparticle characteristics, our review presents necessary guidelines for safer, more biocompatible nanodrug formulation design. This extensive framework acknowledges the imperative necessity for mechanistic toxicity assessment in nanopharmaceutical design and underscores the strength of AI tools in driving systematic toxicology studies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10610 - Biophysics
Result continuities
Project
<a href="/en/project/EH22_008%2F0004596" target="_blank" >EH22_008/0004596: Sensors and Detectors for Future Information Society</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Molecular Sciences
ISSN
1661-6596
e-ISSN
1422-0067
Volume of the periodical
26
Issue of the periodical within the volume
14
Country of publishing house
CH - SWITZERLAND
Number of pages
41
Pages from-to
6687
UT code for WoS article
001535959200001
EID of the result in the Scopus database
2-s2.0-105011695674