journal article·2022-03-22

Self-Enhanced Acoustic Impedance Difference Strategy for Detecting the Acidic Tumor Microenvironment

Xianfu Meng, Yan Yi, Yun Meng, Guanglei Lv, Xingwu Jiang, Yelin Wu, Wei Yang, Yefeng Yao, Huixiong Xu, Wenbo Bu

ACS Nano· Volume 16· Issue 3
Publisher page

Abstract

B-mode ultrasound imaging is a significant anatomic technique in clinic, which can display the anatomic variation in tissues. However, it is difficult to evaluate the functional state of organs and display the physiological information in organisms such as the tumor acidic microenvironment (TME). Herein, inspired by the phenomenon of sonographic acoustic shadow during detecting calculus in clinic, a strategy of self-enhanced acoustic impedance difference is proposed to monitor the acidic TME. BiF3@PDA@PEG (BPP) nanoparticles can self-aggregate in a specific response to the acidic TME to form huge “stones” BiF3@PDA, resulting in an increase of local tumor density, and further causing a significant acoustic impedance difference. In in vitro experiments, the enhanced ultrasound signals change from 15.2 to 196.4 dB, which can discriminate different pH values from 7.0 to 5.0, and the sensitivity can reach to 0.2 value. In in vivo experiments, the enhanced ultrasound signal is 107.7 dB after BPP self-aggregated, displaying the weak acidic TME that has a close relationship with the size and species of the tumor. More importantly, the accuracy is away from the interference of pressure because huge “stones” BiF3@PDA change little. However, SonoVue microbubbles will diffuse and rupture under pressure, which results in false positive signals. To sum up, this strategy will be helpful to the further development of ultrasound molecular imaging.
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Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Photoacoustic and Ultrasonic Imaging · Analytical Chemistry and Sensors

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

Affiliations

Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Tongji University Cancer Center, Shanghai 200072, P.R. China

Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, P.R. China

Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, P.R. China

Department of Physics and Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai 200062, P.R. China

Funding

China National Funds for Distinguished Young Scientists · China Postdoctoral Science Foundation · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China · Shanghai Key Laboratory of Magnetic Resonance

References (37)

Show source-provided references
1. 10.1007/s00345-017-2156-810.1007/s00345-017-2156-8 ↗
2. 10.1121/1.489995010.1121/1.4899950 ↗
3. 10.1016/S0959-8049(02)00383-010.1016/S0959-8049(02)00383-0 ↗
4. 10.1038/nmeth.164110.1038/nmeth.1641 ↗
5. 10.1152/physrev.00049.201010.1152/physrev.00049.2010 ↗
6. 10.1038/s41568-020-0273-y10.1038/s41568-020-0273-y ↗
7. 10.1038/onc.2008.27110.1038/onc.2008.271 ↗
8. 10.1002/ange.20151003110.1002/ange.201510031 ↗
9. 10.1016/j.canlet.2006.10.02910.1016/j.canlet.2006.10.029 ↗
10. 10.1038/s41568-020-0273-y10.1038/s41568-020-0273-y ↗
11. 10.1186/1475-2867-13-8910.1186/1475-2867-13-89 ↗
12. 10.1007/s00018-017-2496-y10.1007/s00018-017-2496-y ↗
13. 10.1016/j.semcancer.2017.03.00110.1016/j.semcancer.2017.03.001 ↗
14. 10.1083/jcb.20110304510.1083/jcb.201103045 ↗
15. Behm C. Z. · Ultrasound Q. · 2006 · 22 · 67
16. 10.2214/AJR.12.882610.2214/AJR.12.8826 ↗
17. 10.3978/j.issn.2223-4292.2012.06.0610.3978/j.issn.2223-4292.2012.06.06 ↗
18. 10.2967/jnumed.111.09975410.2967/jnumed.111.099754 ↗
19. 10.1021/acsbiomaterials.8b0042110.1021/acsbiomaterials.8b00421 ↗
20. 10.1259/bjr/5706387210.1259/bjr/57063872 ↗
21. 10.1021/acssensors.0c0024510.1021/acssensors.0c00245 ↗
22. 10.1002/adma.20170050510.1002/adma.201700505 ↗
23. 10.1002/adma.20050040310.1002/adma.200500403 ↗
24. 10.1016/j.bios.2016.09.01710.1016/j.bios.2016.09.017 ↗
25. 10.1126/science.114724110.1126/science.1147241 ↗
26. 10.1021/cr400407a10.1021/cr400407a ↗
27. 10.1002/anie.20171156010.1002/anie.201711560 ↗
28. 10.1002/mabi.20070006610.1002/mabi.200700066 ↗
29. 10.1021/ma102804h10.1021/ma102804h ↗
30. 10.1021/bc049898y10.1021/bc049898y ↗
31. 10.1111/j.1740-8261.2003.tb01272.x10.1111/j.1740-8261.2003.tb01272.x ↗
32. 10.1111/j.1740-8261.2003.tb00484.x10.1111/j.1740-8261.2003.tb00484.x ↗
33. 10.1111/j.1740-8261.2002.tb01040.x10.1111/j.1740-8261.2002.tb01040.x ↗
34. 10.1021/acsbiomaterials.6b0012810.1021/acsbiomaterials.6b00128 ↗
35. 10.1007/s00261-018-1475-610.1007/s00261-018-1475-6 ↗
36. 10.1016/j.clinimag.2018.10.00810.1016/j.clinimag.2018.10.008 ↗
37. 10.1002/mus.2662410.1002/mus.26624 ↗