The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Recent Developments of Liposomes as Nanocarriers for Theranostic Applications
Open accessAbstract
Liposomes are nanocarriers comprised of lipid bilayers encapsulating an aqueous core. The ability of liposomes to encapsulate a wide variety of diagnostic and therapeutic agents has led to significant interest in utilizing liposomes as nanocarriers for theranostic applications. In this review, we highlight recent progress in developing liposomes as nanocarriers for a) diagnostic applications to detect proteins, DNA, and small molecule targets using fluorescence, magnetic resonance, ultrasound, and nuclear imaging; b) therapeutic applications based on small molecule-based therapy, gene therapy and immunotherapy; and c) theranostic applications for simultaneous detection and treatment of heavy metal toxicity and cancers. In addition, we summarize recent studies towards understanding of interactions between liposomes and biological components. Finally, perspectives on future directions in advancing the field for clinical translations are also discussed.
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
Recent advances with liposomes as pharmaceutical carriers
Torchilin, V. P. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1632 · Cited by 5,282
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
Doxil® — The first FDA-approved nano-drug: Lessons learned
Barenholz, Y. (. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.020 · Cited by 4,792
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Overview of the immune response
Chaplin, D. D. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.12.980 · Cited by 2,235
New-Concept Chemotherapy by Nanoparticles of Biodegradable Polymers: Where Are We Now?
Feng, S.-S. (2006) · Nanomedicine · doi:10.2217/17435889.1.3.297 · Cited by 1,951
New developments in liposomal drug delivery
Pattni, B. S., Chupin, V. V., & Torchilin, V. P. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00046 · Cited by 1,600
Efficiency of siRNA delivery by lipid nanoparticles is limited by endocytic recycling
Sahay, G., Querbes, W., Alabi, C., Eltoukhy, A., Sarkar, S., Zurenko, C., Karagiannis, E., Love, K., Chen, D., Zoncu, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2614 · Cited by 948
Degradable lipid nanoparticles with predictable in vivo siRNA delivery activity
Whitehead, K. A., Dorkin, J. R., Vegas, A. J., Chang, P. H., Veiseh, O., Matthews, J., Fenton, O. S., Zhang, Y., Olejnik, K. T., Yesilyurt, V., et al. (2014) · Nature Communications · doi:10.1038/ncomms5277 · Cited by 615
Haluska, C. K., Riske, K. A., Marchi-Artzner, V., Lehn, J.-M., Lipowsky, R., & Dimova, R. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602766103 · Cited by 240
Cited by
Kalyane, D., Raval, N., Maheshwari, R., Tambe, V., Kalia, K., & Tekade, R. K. (2019) · Materials Science and Engineering: C · doi:10.1016/j.msec.2019.01.066 · Cited by 849
Adapting liposomes for oral drug delivery
He, H., Lu, Y., Qi, J., Zhu, Q., Chen, Z., & Wu, W. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2018.06.005 · Cited by 663
Self-citationSupramolecular cancer nanotheranostics
Zhou, J., Rao, L., Yu, G., Cook, T. R., Chen, X., & Huang, F. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00011f · Cited by 411
Liposomal Delivery Systems: Design Optimization and Current Applications
Abu Lila, A. S., & Ishida, T. (2017) · Biological & Pharmaceutical Bulletin · doi:10.1248/bpb.b16-00624 · Cited by 382
Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
Kashyap, B. K., Singh, V. V., Solanki, M. K., Kumar, A., Ruokolainen, J., & Kesari, K. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07840 · Cited by 348
Metadata
- Authors
- Xing, H., Hwang, K., & Lu, Y.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2016
- Volume
- 6
- Issue
- 9
- Pages
- 1336-1352
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2438888815
- Cited by
- 296
- References
- 11
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- gold
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.
