journal article·2021

Metformin loaded porous particles with bio-microenvironment responsiveness for promoting tumor immunotherapy

Yuanyuan Wen, Yuxiao Liu, Canwen Chen, Junjie Chi, Liping Zhong, Yongxiang Zhao, Yuanjin Zhao

Biomaterials Science· Volume 9· Issue 6
Publisher page

Abstract

PD1/PD-L1 antibody blockade-based immunotherapy has been widely recognized in the field of cancer treatment; however, only a small number of cancer patients have been shown to respond well due to the PD1/PD-L1 antibody hydrolysis induced substandard immunotherapeutic efficacy and the low immunogenicity and immunosuppressive tumor microenvironment of the patients. Here, we present a novel tumor microenvironment (TME) responsive particle delivery system with a metformin-loaded chitosan (CS) inverse opal core and a manganese dioxide (MnO2) shell (denoted as CS-metformin@MnO2 particles) for inhibiting the PD-1/PD-L1 signaling pathway and promoting tumor immunotherapy. Benefiting from the interconnected porous structure of the inverse opal, metformin can be easily extensively loaded into the CS particles. With the coating of the TME responsive MnO2 shells, the particle delivery system was imparted with an intelligent "trigger" to prevent premature leaking of the drug until it reaches the tumor tissue. We have demonstrated that CS-metformin@MnO2 particles were able to promote the apoptosis of tumor cells through immunotherapeutic means both in vivo and in vitro. Specifically, the viability of tumor cells in the drug carrier-treated group was nearly 20% less than in the untreated group. In addition, the CS particles could serve as scaffolds for the regeneration of normal tissues and promote post-surgical wound healing due to their biocompatibility and antibacterial ability. These results make CS-metformin@MnO2 particles an excellent delivery system in tumor immunotherapy and post-surgical wound healing applications.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Cancer, Stress, Anesthesia, and Immune Response · Immunotherapy and Immune Responses

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Translational Medicine Laboratory

The First Affiliated Hospital of Wenzhou Medical University

Wenzhou 325035

China

National Center for International Biotargeting Theranostics

State Key Laboratory of Bioelectronics

School of Biological Science and Medical Engineering

Southeast University

Nanjing

Department of Rheumatology and Immunology

Institute of Translational Medicine

The Affiliated Drum Tower Hospital of Nanjing University Medical School

210008 Nanjing

Guangxi Key Laboratory of Biotargeting Theranostics

Collaborative Innovation Center for Targeting Tumor Theranostics

Guangxi Medical University

Guangxi

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province

References (37)

Show source-provided references
1. Topalian · Nat. Rev. Cancer · 2016 · 16 · 27510.1038/nrc.2016.36 ↗
2. Hoos · Nat. Rev. Drug Discovery · 2016 · 15 · 23510.1038/nrd.2015.35 ↗
3. Mahoney; · Nat. Rev. Drug Discovery · 2015 · 14 · 56110.1038/nrd4591 ↗
4. Wang · Adv. Mater. · 2016 · 28 · 891210.1002/adma.201506312 ↗
5. Lu · Nature · 2017 · 543 · 72810.1038/nature21676 ↗
6. Overacre-Delgoffe · Cell · 2017 · 169 · 113010.1016/j.cell.2017.05.005 ↗
7. Hammerich · Nat. Med. · 2019 · 25 · 81410.1038/s41591-019-0410-x ↗
8. Havel · Nat. Rev. Cancer · 2019 · 19 · 13310.1038/s41568-019-0116-x ↗
9. Nayak · Blood · 2017 · 129 · 307110.1182/blood-2017-01-764209 ↗
10. Zhang · Adv. Mater. · 2018 · 30 · 170711210.1002/adma.201707112 ↗
11. Liu · Mater. Horiz. · 2018 · 5 · 108210.1039/C8MH00704G ↗
12. Ruan · Adv. Mater. · 2019 · 31 · 180695710.1002/adma.201806957 ↗
13. Vijayan · Nat. Rev. Cancer · 2017 · 17 · 70910.1038/nrc.2017.86 ↗
14. Cha · Mol. Cell · 2018 · 71 · 60610.1016/j.molcel.2018.07.030 ↗
15. Eikawa · Proc. Natl. Acad. Sci. U. S. A. · 2015 · 112 · 180910.1073/pnas.1417636112 ↗
16. Xu · Adv. Mater. · 2017 · 29 · 160325010.1002/adma.201603250 ↗
17. Shang · Chem. Rev. · 2017 · 117 · 796410.1021/acs.chemrev.6b00848 ↗
18. Hu · J. Am. Chem. Soc. · 2018 · 140 · 40610.1021/jacs.7b11003 ↗
19. Hou · Angew. Chem., Int. Ed. · 2018 · 57 · 254410.1002/anie.201704752 ↗
20. Li · Sci. China Mater. · 2017 · 60 · 54310.1007/s40843-016-5151-6 ↗
21. Song · Adv. Mater. · 2019 · 31 · 190039110.1002/adma.201900391 ↗
22. Xu · Small · 2018 · 14 · 180108310.1002/smll.201801083 ↗
23. Wang · Sci. Adv. · 2018 · 4 · eaat281610.1126/sciadv.aat2816 ↗
24. Guo · Chem. – Eur. J. · 2018 · 24 · 1619610.1002/chem.201800264 ↗
25. Li · ACS Nano · 2019 · 13 · 500210.1021/acsnano.9b01002 ↗
26. Liu · Sci. Bull. · 2017 · 62 · 128310.1016/j.scib.2017.09.006 ↗
27. Lin · Adv. Healthcare Mater. · 2019 · 8 · 180091010.1002/adhm.201800910 ↗
28. Chen · ACS Nano · 2018 · 12 · 1049310.1021/acsnano.8b06237 ↗
29. Liu · Adv. Mater. · 2018 · 30 · 170339310.1002/adma.201703393 ↗
30. Zhao · Adv. Funct. Mater. · 2018 · 26 · 280910.1002/adfm.201504943 ↗
31. Zhang · Nanoscale · 2015 · 7 · 1059010.1039/C5NR02324F ↗
32. Kankala · Small · 2019 · 15 · 190139710.1002/smll.201901397 ↗
33. Yan · Adv. Funct. Mater. · 2019 · 29 · 180755910.1002/adfm.201807559 ↗
34. Liu · ACS Appl. Mater. Interfaces · 2018 · 10 · 1705810.1021/acsami.8b03483 ↗
35. Qi · Small · 2019 · 15 · 180433210.1002/smll.201804332 ↗
36. Lin · Adv. Funct. Mater. · 2019 · 29 · 180494310.1002/adfm.201804943 ↗
37. Wang · Sci. China Mater. · 2018 · 61 · 131410.1007/s40843-018-9251-9 ↗