journal article·2019

Novel small molecular dye-loaded lipid nanoparticles with efficient near-infrared-II absorption for photoacoustic imaging and photothermal therapy of hepatocellular carcinoma

Qingshan Chen, Jingqin Chen, Mu He, Yuanyuan Bai, Huixiang Yan, Ning Zeng, Fangyan Liu, Sai Wen, Liang Song, Zonghai Sheng, Chengbo Liu, Chihua Fang

Biomaterials Science· Volume 7· Issue 8
Publisher page

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant cancers worldwide and is the second leading cause of mortality in cancer patients. Thus, accurate diagnosis and effective treatment of the malignancy is very critical for HCC patients. The photoacoustic (PA) nanoparticle with ultra-sensitive imaging signals and high photothermal conversion efficacy is a new and promising method for achieving the desired goals. In this study, we have synthesized a novel lipid nanoparticle based on IR-1061 dyes by encapsulating the dye into a liposome which was modified by DSPE-PEG2000. We conducted serial experiments to investigate the PA diagnosis performance, the surgical navigation, and the photothermal therapy (PTT) capability of the novel nanoparticle (Polipo-IR NP) in nude mice bearing HCC. The results showed that our novel nanoparticles exhibited strong laser energy absorption at 1064 nm wavelength, high photothermal conversion efficacy (45.25%) and ultra-sensitive PA signals. The in vivo PA studies demonstrated that the proposed nanoparticles could diagnose tumors non-invasively and accurately with a strong signal-to-noise ratio of 5.98 ± 0.23 at 3 h post-injection and could successfully achieve radical resection of tumors intraoperatively. Furthermore, the PTT test demonstrated a remarkable cancer cell killing ability because of its high photothermal conversion efficacy. The excellent photostability and high biocompatibility were also validated by in vitro and in vivo experiments. Thus, our proposed NIR-II PA and PTT nanoparticles based on the IR-1061 dye would potentially provide novel insights into understanding polymethine dyes in nanomedicine and would greatly benefit early diagnosis and treatment of HCC patients.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Photoacoustic and Ultrasonic Imaging · Nanoplatforms for cancer theranostics · Photodynamic Therapy Research Studies

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

Affiliations

Department of Hepatobiliary Surgery

Zhujiang Hospital

Southern Medical University

Guangzhou

PR China

Research Laboratory for Biomedical Optics and Molecular Imaging

Shenzhen Key Laboratory for Molecular Imaging

Institute of Biomedical and Health Engineering

Shenzhen Institutes of Advanced Technology

Chinese Academy of Sciences

Department of Ultrasonography

The Eighth Affiliated Hospital

SUN YAT-SEN University

Shenzhen

China

Paul C. Lauterbur Research Center for Biomedical Imaging

Shenzhen 518055

Funding

National Natural Science Foundation of China · National Basic Research Program of China · Guangdong Science and Technology Department · Guangzhou Municipal Science and Technology Project · Natural Science Foundation of Guangdong Province · Shenzhen Science and Technology Innovation Commission · Chinese Academy of Sciences

References (59)

Show source-provided references
1. Ringelhan · Nat. Immunol. · 2018 · 19 · 22210.1038/s41590-018-0044-z ↗
2. Lin · Lancet Oncol. · 2015 · 16 · 80410.1016/S1470-2045(15)00048-0 ↗
3. Forner · Lancet · 2018 · 391 · 130110.1016/S0140-6736(18)30010-2 ↗
4. Roccarina · Cochrane Database Syst. Rev. · 2017 · 3 · CD011649
5. Ayuso · Eur. J. Radiol. · 2018 · 101 · 7210.1016/j.ejrad.2018.01.025 ↗
6. Li · Biomater. Sci. · 2018 · 6 · 189210.1039/C8BM00336J ↗
7. Kim · Gastroenterology · 2015 · 148 · 137110.1053/j.gastro.2015.02.051 ↗
8. Bruix · Gastroenterology · 2016 · 150 · 83510.1053/j.gastro.2015.12.041 ↗
9. Pocha · Aliment. Pharmacol. Ther. · 2013 · 38 · 30310.1111/apt.12370 ↗
10. Chi · Theranostics · 2014 · 4 · 107210.7150/thno.9899 ↗
11. Nguyen · Nat. Rev. Cancer · 2013 · 13 · 65310.1038/nrc3566 ↗
12. Chen · Adv. Funct. Mater. · 2016 · 26 · 871510.1002/adfm.201603758 ↗
13. Huang · Biomater. Sci. · 2019 · 7 · 47210.1039/C8BM00642C ↗
14. Zhang · Light: Sci. Appl. · 2018 · 7 · 10310.1038/s41377-018-0093-y ↗
15. Li · Biomater. Sci. · 2017 · 5 · 112210.1039/C7BM00230K ↗
16. Cai · Small · 2016 · 12 · 487310.1002/smll.201600697 ↗
17. Liu · Biomater. Sci. · 2019 · 7 · 113210.1039/C8BM01524D ↗
18. Zhang · Theranostics · 2017 · 7 · 300710.7150/thno.18460 ↗
19. Shi · Theranostics · 2016 · 6 · 217010.7150/thno.16633 ↗
20. Ku · ACS Nano · 2012 · 6 · 748910.1021/nn302782y ↗
21. Lu · Biomaterials · 2010 · 31 · 261710.1016/j.biomaterials.2009.12.007 ↗
22. Yao · Curr. Opin. Chem. Biol. · 2018 · 45 · 10410.1016/j.cbpa.2018.03.016 ↗
23. Yu · J. Nucl. Med. · 2018 · 59 · 120210.2967/jnumed.117.201459 ↗
24. Weber · Nat. Methods · 2016 · 13 · 63910.1038/nmeth.3929 ↗
25. Liu · Chem. Soc. Rev. · 2019 · 48 · 205310.1039/C8CS00618K ↗
26. He · Chem. Soc. Rev. · 2018 · 47 · 425810.1039/C8CS00234G ↗
27. Alifu · ACS Nano · 2018 · 12 · 1128210.1021/acsnano.8b05937 ↗
28. Zhou · Nanoscale · 2014 · 6 · 1522810.1039/C4NR05386A ↗
29. Li · Biomaterials · 2017 · 112 · 16410.1016/j.biomaterials.2016.10.024 ↗
30. Yu · Nanoscale · 2017 · 9 · 914810.1039/C7NR02180A ↗
31. Han · Theranostics · 2018 · 8 · 449110.7150/thno.26291 ↗
32. Cao · Biomaterials · 2018 · 155 · 10310.1016/j.biomaterials.2017.11.016 ↗
33. Jiang · Adv. Mater. · 2018 · 30 · e170598010.1002/adma.201705980 ↗
34. Li · Nanomedicine · 2015 · 10 · 29910.2217/nnm.14.169 ↗
35. Kim · Nat. Nanotechnol. · 2009 · 4 · 68810.1038/nnano.2009.231 ↗
36. Zhang · Biomaterials · 2018 · 181 · 9210.1016/j.biomaterials.2018.07.042 ↗
37. Tao · Angew. Chem., Int. Ed. · 2013 · 52 · 1300210.1002/anie.201307346 ↗
38. Casalboni · Chem. Phys. Lett. · 2003 · 373 · 37210.1016/S0009-2614(03)00608-0 ↗
39. Kamimura · Polym. J. · 2017 · 49 · 79910.1038/pj.2017.59 ↗
40. Wei · Int. J. Nanomed. · 2015 · 10 · 5123
41. Zhang · Small · 2019 · 15 · e180370310.1002/smll.201803703 ↗
42. Yoshino · Biochim. Biophys. Acta · 2012 · 1818 · 290110.1016/j.bbamem.2012.07.011 ↗
43. Ren · Mol. Pharm. · 2018 · 15 · 486210.1021/acs.molpharmaceut.8b00516 ↗
44. Guo · ACS Nano · 2017 · 11 · 1012410.1021/acsnano.7b04685 ↗
45. Liu · Theranostics · 2016 · 6 · 241410.7150/thno.15878 ↗
46. Yoshino · Nano Lett. · 2017 · 17 · 496410.1021/acs.nanolett.7b02106 ↗
47. Du · ACS Nano · 2017 · 11 · 893010.1021/acsnano.7b03226 ↗
48. Yan · Biomater. Sci. · 2018 · 7 · 9210.1039/C8BM00767E ↗
49. Hu · Theranostics · 2016 · 6 · 104310.7150/thno.14566 ↗
50. Scarpaci · Chem. Mater. · 2012 · 24 · 160610.1021/cm3002139 ↗
51. Guo · ACS Appl. Mater. Interfaces · 2017 · 9 · 934810.1021/acsami.6b15703 ↗
52. Cai · ACS Nano · 2017 · 11 · 105410.1021/acsnano.6b07927 ↗
53. Zhang · ACS Nano · 2017 · 11 · 379710.1021/acsnano.6b08720 ↗
54. Luo · ACS Appl. Mater. Interfaces · 2016 · 8 · 1717610.1021/acsami.6b05383 ↗
55. Li · Biomaterials · 2016 · 106 · 11910.1016/j.biomaterials.2016.08.016 ↗
56. Liu · Adv. Sci. · 2017 · 4 · 160054010.1002/advs.201600540 ↗
57. Xia · Nanotheranostics · 2019 · 3 · 15610.7150/ntno.33536 ↗
58. Zhang · ACS Appl. Mater. Interfaces · 2018 · 10 · 2520310.1021/acsami.8b08419 ↗
59. Wang · Theranostics · 2019 · 9 · 36910.7150/thno.29817 ↗