Determination of factors controlling the particle size and entrapment efficiency of noscapine in PEG/PLA nanoparticles using artificial neural networks

Shalaby, Karim S.; Soliman, Mahmoud E.; Casettari, Luca; Bonacucina, Giulia; Cespi, Marco; Sammour, Omaima A.; Shamy, Abdelhameed A. El

doi:10.2147/ijn.s68737

Cited by 33 publications

(13 citation statements)

References 39 publications

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“…Shalaby et al . [ 29 ] studies showed the most effective parameter on EE of PEG/PLA nanoparticles was polymer to drug ratio. In addition, the higher molecular weight could lead to higher EE.…”

Section: Resultsmentioning

confidence: 99%

Fabrication and evaluation of spironolactone-loaded nanostructured lipid carries for cardiac tissue regeneration

et al. 2020

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Section: Resultsmentioning

confidence: 99%

Fabrication and evaluation of spironolactone-loaded nanostructured lipid carries for cardiac tissue regeneration

et al. 2020

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“…This small size provides controlled and sustained drug release by maintaining long circulation time, less opsonization, and lower detection by macrophages. 124 Controlled drug release of surfactin from CO-CNF is observed in Figure 6. The sustained/controlled release of drug was depending on swelling, diffusion, and erosion.…”

Section: Discussionmentioning

confidence: 99%

<p>Surfactin-Loaded ĸ-Carrageenan Oligosaccharides Entangled Cellulose Nanofibers as a Versatile Vehicle Against Periodontal Pathogens</p>

Johnson

Kong

et al. 2020

IJN

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Purpose: Periodontitis is a chronic inflammatory disease associated with microbial accumulation. The purpose of this study was to reuse the agricultural waste to produce cellulose nanofibers (CNF) and further modification of the CNF with κ-carrageenan oligosaccharides (CO) for drug delivery. In addition, this study is focused on the antimicrobial activity of surfactin-loaded CO-CNF towards periodontal pathogens. Materials and Methods: A chemo-mechanical method was used to extract the CNF and the modification was done by using CO. The studies were further proceeded by adding different quantities of surfactin [50 mg (50 SNPs), 100 mg (100 SNPs), 200 mg (200 SNPs)] into the carrier (CO-CNF). The obtained materials were characterized, and the antimicrobial activity of surfactin-loaded CO-CNF was evaluated. Results: The obtained average size of CNF and CO-CNF after ultrasonication was 263 nm and 330 nm, respectively. Microscopic studies suggested that the CNF has a short diameter with long length and CO became cross-linked to form as beads within the CNF network. The addition of CO improved the degradation temperature, crystallinity, and swelling property of CNF. The material has a controlled drug release, and the entrapment efficiency and loading capacity of the drug were 53.15 ± 2.36% and 36.72 ± 1.24%, respectively. It has antioxidant activity and inhibited the growth of periodontal pathogens such as Streptococcus mutans and Porphyromonas gingivalis by preventing the biofilm formation, reducing the metabolic activity, and promoting the oxidative stress. Conclusion:The study showed the successful extraction of CNF and modification with CO improved the physical parameters of the CNF. In addition, surfactin-loaded CO-CNF has potential antimicrobial activity against periodontal pathogens. The obtained biomaterial is economically valuable and has great potential for biomedical applications.

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“…The accuracy was 91%, which was predicted for the noscapine trap. The results of using ML and data mining were very satisfactory, but with more data, better results are obtained [80].…”

Section: Drug Loading Content (Weight[wt]%) =mentioning

confidence: 94%

Enhancing Clinical Translation of Cancer Using Nanoinformatics

Soltani

Kashkooli

Souri

et al. 2021

Cancers

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Application of drugs in high doses has been required due to the limitations of no specificity, short circulation half-lives, as well as low bioavailability and solubility. Higher toxicity is the result of high dosage administration of drug molecules that increase the side effects of the drugs. Recently, nanomedicine, that is the utilization of nanotechnology in healthcare with clinical applications, has made many advancements in the areas of cancer diagnosis and therapy. To overcome the challenge of patient-specificity as well as time- and dose-dependency of drug administration, artificial intelligence (AI) can be significantly beneficial for optimization of nanomedicine and combinatorial nanotherapy. AI has become a tool for researchers to manage complicated and big data, ranging from achieving complementary results to routine statistical analyses. AI enhances the prediction precision of treatment impact in cancer patients and specify estimation outcomes. Application of AI in nanotechnology leads to a new field of study, i.e., nanoinformatics. Besides, AI can be coupled with nanorobots, as an emerging technology, to develop targeted drug delivery systems. Furthermore, by the advancements in the nanomedicine field, AI-based combination therapy can facilitate the understanding of diagnosis and therapy of the cancer patients. The main objectives of this review are to discuss the current developments, possibilities, and future visions in naoinformatics, for providing more effective treatment for cancer patients.

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Determination of factors controlling the particle size and entrapment efficiency of noscapine in PEG/PLA nanoparticles using artificial neural networks

Cited by 33 publications

References 39 publications

Fabrication and evaluation of spironolactone-loaded nanostructured lipid carries for cardiac tissue regeneration

Fabrication and evaluation of spironolactone-loaded nanostructured lipid carries for cardiac tissue regeneration

<p>Surfactin-Loaded ĸ-Carrageenan Oligosaccharides Entangled Cellulose Nanofibers as a Versatile Vehicle Against Periodontal Pathogens</p>

Enhancing Clinical Translation of Cancer Using Nanoinformatics

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