An integrated in vitro and in silico approach to assess targeted cytotoxicity against MDA-MB-231 triple-negative breast cancer cells with Psidium guajava peel-derived chitosan nanoparticles.

IF 4.5 3区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Artificial Cells, Nanomedicine, and Biotechnology Pub Date : 2025-12-01 Epub Date: 2025-02-10 DOI:10.1080/21691401.2025.2462333
Vino Udappusamy, Rajan Thinagaran, Vijayakumar Mayakrishnan, Janani Balakarthikeyan, Priya Kannappan, Sameer Al-Ghamdi, Naif Abdurhman Alrudian, Mohammed Saad Alqahtani, Khalid Albasheer, Chandrabose Sureka, Mahmoud H El-Bidawy, Nesreen Alsanousi, Sahar Gamil, Thiyagarajan Ramesh
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引用次数: 0

Abstract

Triple-negative breast cancer (TNBC) is a significant global health issue, with high mortality rates. The chemotherapeutic drugs currently used for TNBC have significant side effects, impacting both normal and cancer cells. In this study, we investigated a potential use of fruit peel extract of Psidium guajava (PGP) encapsulated with chitosan nanoparticles (CSNPs) to combat TNBC. The synthesized PGP-CSNPs were characterized using UV-vis spectroscopy, Fourier transform infra-red (FTIR) spectroscopy, TEM and GC-MS. The maximum loading capacity and encapsulation efficacy of PGP-CSNPs were found to be 72.5 ± 0.49% and 92.9 ± 0.10%, respectively. Furthermore, in vitro cytotoxicity was assessed, and the IC50 value for PGP-CSNPs was 50.13 µg/mL. It was observed that PGP-CSNPs could induce apoptosis in MDA-MB-231 cells in dose-dependent manner. Furthermore, molecular docking was performed for bioactive compounds retrieved from PGP-CSNPs against human tumour suppressor proteins Bcl2, and results showed that the PGP-CSNPs had lower binding energy than cisplatin. This suggests that, the synthesized PGP-CSNPs have the potential to serve as a therapeutic agent for tackling TNBC. However, to validate its efficacy in human therapy, furthermore pre-clinical and clinical procedures should be examined, as this is an ongoing and significant step towards developing an effective and safe anticancer drug.

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来源期刊
Artificial Cells, Nanomedicine, and Biotechnology
Artificial Cells, Nanomedicine, and Biotechnology BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ENGINEERING, BIOMEDICAL
CiteScore
10.90
自引率
0.00%
发文量
48
审稿时长
20 weeks
期刊介绍: Artificial Cells, Nanomedicine and Biotechnology covers the frontiers of interdisciplinary research and application, combining artificial cells, nanotechnology, nanobiotechnology, biotechnology, molecular biology, bioencapsulation, novel carriers, stem cells and tissue engineering. Emphasis is on basic research, applied research, and clinical and industrial applications of the following topics:artificial cellsblood substitutes and oxygen therapeuticsnanotechnology, nanobiotecnology, nanomedicinetissue engineeringstem cellsbioencapsulationmicroencapsulation and nanoencapsulationmicroparticles and nanoparticlesliposomescell therapy and gene therapyenzyme therapydrug delivery systemsbiodegradable and biocompatible polymers for scaffolds and carriersbiosensorsimmobilized enzymes and their usesother biotechnological and nanobiotechnological approachesRapid progress in modern research cannot be carried out in isolation and is based on the combined use of the different novel approaches. The interdisciplinary research involving novel approaches, as discussed above, has revolutionized this field resulting in rapid developments. This journal serves to bring these different, modern and futuristic approaches together for the academic, clinical and industrial communities to allow for even greater developments of this highly interdisciplinary area.
期刊最新文献
Machine learning-based integration develops a disulfidptosis-related lncRNA signature for improving outcomes in gastric cancer. Antimicrobial capping agents on silver nanoparticles made via green method using natural products from banana plant waste. In vivo toxicity of chitosan-based nanoparticles: a systematic review. An integrated in vitro and in silico approach to assess targeted cytotoxicity against MDA-MB-231 triple-negative breast cancer cells with Psidium guajava peel-derived chitosan nanoparticles. Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.
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