Design, Synthesis, and Comparison of Pla-Peg-Pla and Peg-Pla-Peg Copolymers for Curcumin Delivery to Cancer Cells Article Swipe
Neda Rostami
,
Farzaneh Faridghiasi
,
Aiada Ghebleh
,
Hadi Noei
,
Meisam Samadzadeh
,
Mohammad Mahmoudi Gomari
,
Mahsa Khoramipour
,
Alireza Tajiki
,
Majid Abdouss
,
Alireza Aminoroaya
,
Manisha Kumari
,
Vladimir N. Uversky
,
Bryan Ronain Smith
,
Reza Heidari
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202306.1882.v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202306.1882.v1
Curcumin (CUR) is a phytochemical with potent anticancer activities as demonstrated by both preclinical and clinical studies. CUR bioformulations, including loading in biodegradable polymers, have been explored to increase CUR’s solubility and chemical stability, control its release, and improve its delivery to cancer cells. In this study, copolymers comprising poly (L-lactide)-poly (ethylene glycol)-poly (L-lactide) (PLA-PEG-PLA) and poly (ethylene glycol)-poly (L-lactide)-poly (ethylene glycol) (PEG-PLA-PEG) were designed and synthesized to assess and compare their curcumin delivery capacity and inhibitory potency on MCF-7 breast cancer cells. Molecular dynamics simulations indicated that PLA-PEG-PLA has a higher propensity to interact with the cell membrane and more negative free energy, suggesting it is the better carrier for cell membrane penetration. Our characterization indicated that the microsphere copolymers were synthesized successfully. Of the two formulations, PLA-PEG-PLA experimentally exhibited better results, with an initial burst release of 17.5%, followed by a slow, constant release of the encapsulated drug up to 80%. PLA-PEG-PLA-curcumin showed a significant increase in cell death in MCF-7 cancer cells (IC50 = 23.01 ± 0.85 µM) based on the MTT assay. These data were consistent with gene expression studies of Bax, Bcl2, and hTERT which showed that PLA-PEG-PLA-CUR induced apoptosis more efficiently in these cells. Our study integrates in vitro and in silico approaches to identify an optimal co-polymer for the delivery of CUR to cancer cells.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202306.1882.v1
- https://www.preprints.org/manuscript/202306.1882/v1/download
- OA Status
- green
- Cited By
- 4
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382199060
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382199060Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.20944/preprints202306.1882.v1Digital Object Identifier
- Title
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Design, Synthesis, and Comparison of Pla-Peg-Pla and Peg-Pla-Peg Copolymers for Curcumin Delivery to Cancer CellsWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-06-27Full publication date if available
- Authors
-
Neda Rostami, Farzaneh Faridghiasi, Aiada Ghebleh, Hadi Noei, Meisam Samadzadeh, Mohammad Mahmoudi Gomari, Mahsa Khoramipour, Alireza Tajiki, Majid Abdouss, Alireza Aminoroaya, Manisha Kumari, Vladimir N. Uversky, Bryan Ronain Smith, Reza HeidariList of authors in order
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https://doi.org/10.20944/preprints202306.1882.v1Publisher landing page
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https://www.preprints.org/manuscript/202306.1882/v1/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.preprints.org/manuscript/202306.1882/v1/downloadDirect OA link when available
- Concepts
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PEG ratio, Ethylene glycol, Curcumin, Lactide, MTT assay, Chemistry, Drug delivery, Biodegradable polymer, Nanocarriers, Apoptosis, Copolymer, Biochemistry, Polymer, Organic chemistry, Economics, FinanceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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