The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
pH and Redox Dual Responsive Nanoparticle for Nuclear Targeted Drug Delivery
Abstract
To mimic the clinic dosing pattern, initially administering high loading dose and then low maintenance dose, we designed a novel poly(2-(pyridin-2-yldisulfanyl)ethyl acrylate) (PDS) based nanoparticle delivery system. Side chain functional PDS was synthesized by free radical polymerization. Polyethylene glycol and cyclo(Arg-Gly-Asp-d-Phe-Cys) (cRGD) peptide was conjugated to PDS through thiol-disulfide exchange reaction to achieve RPDSG polymer. RPDSG/DOX, RPDSG nanoparticle loaded with doxorubicin, was fabricated by cosolvent dialysis method. The size of the nanoparticles was 50.13 ± 0.5 nm in PBS. The RPDSG/DOX nanoparticle is stable in physiological condition while quickly releasing doxorubicin with the trigger of acidic pH and redox potential. Furthermore, it shows a two-phase release kinetics, providing both loading dose and maintenance dose for cancer therapy. The conjugation of RGD peptide enhanced the cellular uptake and nuclear localization of the RPDSG/DOX nanoparticles. RPDSG/DOX exhibits IC(50) close to that of free doxorubicin for HCT-116 colon cancer cells. Due to the synergetic effect of RGD targeting effect and its two-phase release kinetics, RPDSG/DOX nanoparticles display significantly higher anticancer efficacy than that of free DOX at concentrations higher than 5 μM. These results suggest that RPDSG/DOX could be a promising nanotherapeutic for tumor-targeted chemotherapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nanocarriers as an emerging platform for cancer therapy
Peer, D., Karp, J. M., Hong, S., Farokhzad, O. C., Margalit, R., & Langer, R. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.387 · Cited by 8,710
Polymeric worm micelles as nano-carriers for drug delivery
Kim, Y., Dalhaimer, P., Christian, D. A., & Discher, D. E. (2005) · Nanotechnology · doi:10.1088/0957-4484/16/7/024 · Cited by 207
Cited by
Dual and multi-stimuli responsive polymeric nanoparticles for programmed site-specific drug delivery
Cheng, R., Meng, F., Deng, C., Klok, H.-A., & Zhong, Z. (2013) · Biomaterials · doi:10.1016/j.biomaterials.2013.01.084 · Cited by 1,354
Barua, S., & Mitragotri, S. (2014) · Nano Today · doi:10.1016/j.nantod.2014.04.008 · Cited by 1,257
Xia, Q., Zhang, Y., Li, Z., Hou, X., & Feng, N. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.01.011 · Cited by 665
El-Sawy, H. S., Al-Abd, A. M., Ahmed, T. A., El-Say, K. M., & Torchilin, V. P. (2018) · ACS Nano · doi:10.1021/acsnano.8b06104 · Cited by 431
Recent advances in stimuli-responsive polymer systems for remotely controlled drug release
Zhang, A., Jung, K., Li, A., Liu, J., & Boyer, C. (2019) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2019.101164 · Cited by 268
Physical‐, chemical‐, and biological‐responsive nanomedicine for cancer therapy
Liao, J., Jia, Y., Wu, Y., Shi, K., Yang, D., Li, P., & Qian, Z. (2020) · WIREs Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1581 · Cited by 67
Metadata
- Authors
- K. C., R. B., Thapa, B., & Xu, P.
- Venue
- Molecular Pharmaceutics
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-08-22
- Volume
- 9
- Issue
- 9
- Pages
- 2719-2729
- ISSN
- 1543-8384 (ISSN-L)
- 1543-8392
- OpenAlex
- W2320830565
- Cited by
- 162
- References
- 2
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
