The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Sperm-Hybrid Micromotor for Targeted Drug Delivery
Open accessAbstract
A sperm-driven micromotor is presented as a targeted drug delivery system, which is appealing to potentially treat diseases in the female reproductive tract. This system is demonstrated to be an efficient drug delivery vehicle by first loading a motile sperm cell with an anticancer drug (doxorubicin hydrochloride), guiding it magnetically, to an in vitro cultured tumor spheroid, and finally freeing the sperm cell to deliver the drug locally. The sperm release mechanism is designed to liberate the sperm when the biohybrid micromotor hits the tumor walls, allowing it to swim into the tumor and deliver the drug through the sperm-cancer cell membrane fusion. In our experiments, the sperm cells exhibited a high drug encapsulation capability and drug carrying stability, conveniently minimizing toxic side effects and unwanted drug accumulation in healthy tissues. Overall, sperm cells are excellent candidates to operate in physiological environments, as they neither express pathogenic proteins nor proliferate to form undesirable colonies, unlike other cells or microorganisms. This sperm-hybrid micromotor is a biocompatible platform with potential application in gynecological healthcare, treating or detecting cancer or other diseases in the female reproductive system.
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Cites
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
Cell or Cell Membrane-Based Drug Delivery Systems
Tan, S., Wu, T., Zhang, D., & Zhang, Z. (2015) · Theranostics · doi:10.7150/thno.11852 · Cited by 466
Ma, H.-L., Jiang, Q., Han, S., Wu, Y., Tomshine, J. C., Wang, D., Gan, Y., Zou, G., & Liang, X.-J. (2012) · Molecular Imaging · doi:10.2310/7290.2012.00012 · Cited by 182
Cited by
3D printing of functional microrobots
Li, J., & Pumera, M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01062f · Cited by 303
Akolpoglu, M. B., Alapan, Y., Dogan, N. O., Baltaci, S. F., Yasa, O., Aybar Tural, G., & Sitti, M. (2022) · Science Advances · doi:10.1126/sciadv.abo6163 · Cited by 293
Model-based reinforcement learning for ultrasound-driven autonomous microrobots
Medany, M., Piglia, L., Achenbach, L., Mukkavilli, S. K., & Ahmed, D. (2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01054-2 · Cited by 56
Metadata
- Authors
- Xu, H., Medina-Sánchez, M., Magdanz, V., Schwarz, L., Hebenstreit, F., & Schmidt, O. G.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-12-13
- Volume
- 12
- Issue
- 1
- Pages
- 327-337
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2771808227
- Cited by
- 535
- References
- 3
- FWCI
- 24.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
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