Nanoparticles characterization using the CAM assay

Intasa-Ard, Soontaree Grace; Birault, Albane

doi:10.1016/bs.enz.2019.09.001

Cited by 13 publications

(9 citation statements)

References 77 publications

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“…It was further demonstrated that the amount of cells and the mixture composition used for the tumor implantation affect the grafting efficiency, with a significant impact on the vitality of the embryos ( Sarogni et al., 2021 ). CAM tumor models also permit the evaluation of the anticancer efficacy of several therapeutic approaches, supporting their extensive use in oncological research to evaluate the behaviors of neoplasms and their response to treatments ( Grace Intasa-ard and Birault, 2019 ). Here, cisplatin was used to validate the reliability of CAM as a preclinical in vivo model, thereby exploring whether the treatment response can be similar to clinical observations with HNSCC patients ( Huysentruyt et al., 2010 ).…”

Section: Discussionmentioning

confidence: 99%

Chorioallantoic membrane tumor models highlight the effects of cisplatin compounds in oral carcinoma treatment

et al. 2022

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Section: Discussionmentioning

confidence: 99%

Chorioallantoic membrane tumor models highlight the effects of cisplatin compounds in oral carcinoma treatment

et al. 2022

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“…The antiangiogenic active agent was believed to inhibit VEGF receptor response that affects the differentiation of cartilage, bones, and tissues and vascular abnormalities. 209 In the literature, preclinical evaluation of drug and functional material conjugation used for drug delivery application was performed by CAM assay. 210 Similarly, L-glutamic acid-gp(HEMA) functional materials used for drug delivery were tested for toxicity by CAM assay.…”

Section: Phagocytosis Assaymentioning

confidence: 99%

Comprehensive Review on the Degradation Chemistry and Toxicity Studies of Functional Materials

Pagar

Musale

Pawar

et al. 2022

ACS Biomater. Sci. Eng.

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In recent decades there has been growing interest of material chemists in the successful development of functional materials for drug delivery, tissue engineering, imaging, diagnosis, theranostic, and other biomedical applications with advanced nanotechnology tools. The efficacy and safety of functional materials are determined by their pharmacological, toxicological, and immunogenic effects. It is essential to consider all degradation pathways of functional materials and to assess plausible intermediates and final products for quality control. This review provides a brief insight into chemical degradation mechanisms of functional materials like oxidation, photodegradation, and physical and enzymatic degradation. The intermediates and products of degradation were confirmed with analytical methods such as proton nuclear magnetic resonance (1H NMR), gel permeation chromatography (GPC), UV–vis spectroscopy (UV–vis), infrared spectroscopy (IR), differential scanning calorimetry (DSC), mass spectroscopy, and other sophisticated analytical methods. These analytical methods are also used for regulatory, quality control, and stability purposes in industry. The assessment of degradation is important to predetermine the behavior of functional materials in specific storage conditions and can be relevant to their behavior during in vivo applications. Another important aspect is the evaluation of the toxicity of functional materials. Toxicity can be accessed with various methods using in vitro, in vivo, ex vivo, and in silico models. In vitro cell culture methods are used to determine mitochondrial damage, reactive oxygen species, stress responses, and cellular toxicity. In vitro cellular toxicity can be measured by MTT assay, LDH leakage assay, and hemolysis. In vivo studies are performed using various animal models involving zebrafish, rodents (mice and rats), and nonhuman primates. Ex vivo studies are also used for efficacy and toxicity determinations of functional materials like ex vivo potency assay and precision-cut liver slice (PCLS) models. The in silico tools with computational simulations like quantitative structure–activity relationships (QSAR), pharmacokinetics (PK) and pharmacodynamics (PD), dose and time response, and quantitative cationic–activity relationships ((Q)CARs) are used for prediction of the toxicity of functional materials. In this review, we studied the principle methods used for degradation studies, different degradation pathways, and mechanisms of functional material degradation with prototype examples. We discuss toxicity assessments with different toxicity approaches used for estimation of the safety and efficacy of functional materials.

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“…However, poor correlation between in vivo and in vitro delivery outcomes suggests that flow cytometry and image cytometry must be restricted to ex vivo therapeutic applications. Small in vivo models, such as Caenorhabditis elegans, , zebrafishes, and the chicken egg chorioallantoic membrane (CAM) model could be applied in tandem with high-content analysis platforms to screen out toxic formulations prior to testing in primate/murine models. While Caenorhabditis elegans and zebrafishes will not recapitulate human physiology, they combine several interesting features for high-throughput screening of toxic formulations.…”

Section: High-throughput Evaluation Of Polymeric Gene Delivery In Cel...mentioning

confidence: 99%

Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?

Kumar

2022

ACS Appl. Bio Mater.

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Despite rapid advances in molecular biology, particularly in site-specific genome editing technologies, such as CRISPR/Cas9 and base editing, financial and logistical challenges hinder a broad population from accessing and benefiting from gene therapy. To improve the affordability and scalability of gene therapy, we need to deploy chemically defined, economical, and scalable materials, such as synthetic polymers. For polymers to deliver nucleic acids efficaciously to targeted cells, they must optimally combine design attributes, such as architecture, length, composition, spatial distribution of monomers, basicity, hydrophilic−hydrophobic phase balance, or protonation degree. Designing polymeric vectors for specific nucleic acid payloads is a multivariate optimization problem wherein even minuscule deviations from the optimum are poorly tolerated. To explore the multivariate polymer design space rapidly, efficiently, and fruitfully, we must integrate parallelized polymer synthesis, high-throughput biological screening, and statistical modeling. Although materiomics approaches promise to streamline polymeric vector development, several methodological ambiguities must be resolved. For instance, establishing a flexible polymer ontology that accommodates recent synthetic advances, enforcing uniform polymer characterization and data reporting standards, and implementing multiplexed in vitro and in vivo screening studies require considerable planning, coordination, and effort. This contribution will acquaint readers with the challenges associated with materiomics approaches to polymeric gene delivery and offers guidelines for overcoming these challenges. Here, we summarize recent developments in combinatorial polymer synthesis, high-throughput screening of polymeric vectors, omics-based approaches to polymer design, barcoding schemes for pooled in vitro and in vivo screening, and identify materiomics-inspired research directions that will realize the long-unfulfilled clinical potential of polymeric carriers in gene therapy.

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Nanoparticles characterization using the CAM assay

Cited by 13 publications

References 77 publications

Chorioallantoic membrane tumor models highlight the effects of cisplatin compounds in oral carcinoma treatment

Chorioallantoic membrane tumor models highlight the effects of cisplatin compounds in oral carcinoma treatment

Comprehensive Review on the Degradation Chemistry and Toxicity Studies of Functional Materials

Materiomically Designed Polymeric Vehicles for Nucleic Acids: Quo Vadis?

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