Noninvasive Assessment of Kidney Injury by Combining Structure and Function Using Artificial Intelligence-Based Manganese-Enhanced Magnetic Resonance Imaging
Source abstract
Abstract
Contrast-enhanced magnetic resonance imaging (MRI) is seriously limited in kidney injury detection due to the nephrotoxicity of clinically used gadolinium-based contrast agents. Herein, we propose a noninvasive method for the assessment of kidney injury by combining structure and function information based on manganese (Mn)-enhanced MRI for the first time. As a proof of concept, the Mn-melanin nanoprobe with good biocompatibility and excellent T1 relaxivity is applied in MRI of a unilateral ureteral obstruction mice model. The abundant renal structure and function information is obtained through qualitative and quantitative analysis of MR images, and a brand new comprehensive assessment framework is proposed to precisely identify the degree of kidney injury successfully. Our study demonstrates that Mn-enhanced MRI is a promising approach for the highly sensitive and biosafe assessment of kidney injury in vivo.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Lanthanide and Transition Metal Complexes · Acute Kidney Injury Research · Renal and Vascular Pathologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Radiology, Tianjin Chest Hospital, Tianjin 300052, China
Department of Radiology, Ningbo No.2 Hospital, Ningbo 315012, China
School of Medical Imaging, Tianjin Medical University, Tianjin 300203, China
Department of Radiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China
Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin 300060, China
Funding
Ningbo Huamei Hospital of Chinese Academy of Sciences University · National Key Research and Development Program of China · National Natural Science Foundation of China · Ningbo Medical Science and Technology Plan Project · Tianjin Medical University Cancer Institute and Hospital
References (56)
Show source-provided references
1. 10.1016/S0140-6736(21)00519-510.1016/S0140-6736(21)00519-5 ↗
2. 10.1038/s41572-021-00284-z10.1038/s41572-021-00284-z ↗
3. 10.1038/nrneph.2016.4410.1038/nrneph.2016.44 ↗
4. 10.1046/j.1523-1755.1998.00210.x10.1046/j.1523-1755.1998.00210.x ↗
5. 10.1038/s41581-021-00440-410.1038/s41581-021-00440-4 ↗
6. 10.1021/acs.accounts.0c0032310.1021/acs.accounts.0c00323 ↗
7. 10.1016/j.biomaterials.2018.04.01910.1016/j.biomaterials.2018.04.019 ↗
8. 10.1002/anie.20201727310.1002/anie.202017273 ↗
9. 10.1038/ki.2009.4210.1038/ki.2009.42 ↗
10. 10.1088/1361-6528/aabcee10.1088/1361-6528/aabcee ↗
11. 10.1002/anie.20170781910.1002/anie.201707819 ↗
12. 10.1002/anie.20151114810.1002/anie.201511148 ↗
13. 10.1002/anie.20210307110.1002/anie.202103071 ↗
14. 10.1002/anie.20191013710.1002/anie.201910137 ↗
15. 10.1039/D0SC02925D10.1039/D0SC02925D ↗
16. 10.1038/s41563-019-0378-410.1038/s41563-019-0378-4 ↗
17. 10.1002/anie.20190956010.1002/anie.201909560 ↗
18. 10.1021/jacs.1c0889810.1021/jacs.1c08898 ↗
19. 10.1002/anie.20211427310.1002/anie.202114273 ↗
20. 10.1039/C6SC05059J10.1039/C6SC05059J ↗
21. 10.1039/C8SC03308K10.1039/C8SC03308K ↗
22. 10.1002/adma.20190853010.1002/adma.201908530 ↗
23. 10.1002/adma.20220664310.1002/adma.202206643 ↗
24. 10.1021/acs.analchem.2c0110610.1021/acs.analchem.2c01106 ↗
25. 10.1002/anie.20190152510.1002/anie.201901525 ↗
26. 10.1021/acs.analchem.1c0514010.1021/acs.analchem.1c05140 ↗
27. 10.1681/ASN.201011114310.1681/ASN.2010111143 ↗
28. 10.1021/acs.chemrev.8b0036310.1021/acs.chemrev.8b00363 ↗
29. 10.1148/radiol.202020007310.1148/radiol.2020200073 ↗
30. 10.3390/nano1109244910.3390/nano11092449 ↗
31. 10.1148/rg.202019011010.1148/rg.2020190110 ↗
32. 10.1148/radiol.1515002510.1148/radiol.15150025 ↗
33. 10.1016/j.drudis.2014.11.00810.1016/j.drudis.2014.11.008 ↗
34. 10.1155/2020/326283510.1155/2020/3262835 ↗
35. 10.1039/C7BM00635G10.1039/C7BM00635G ↗
36. 10.1002/adfm.20160344010.1002/adfm.201603440 ↗
37. 10.1016/j.cej.2023.14164010.1016/j.cej.2023.141640 ↗
38. 10.1039/D1NR02015C10.1039/D1NR02015C ↗
39. 10.1002/wnan.11610.1002/wnan.116 ↗
40. 10.1002/chem.20180285110.1002/chem.201802851 ↗
41. 10.1002/wnan.124310.1002/wnan.1243 ↗
42. 10.1021/acsami.2c2251210.1021/acsami.2c22512 ↗
43. 10.1039/D0CS00461H10.1039/D0CS00461H ↗
44. 10.1016/j.apsusc.2009.03.02310.1016/j.apsusc.2009.03.023 ↗
45. 10.1002/adfm.20190483310.1002/adfm.201904833 ↗
46. 10.1039/C7CS00316A10.1039/C7CS00316A ↗
47. 10.1039/C8NR01215F10.1039/C8NR01215F ↗
48. 10.1002/advs.20180003210.1002/advs.201800032 ↗
49. 10.1021/nn506640h10.1021/nn506640h ↗
50. 10.1021/jacs.5b1074810.1021/jacs.5b10748 ↗
51. 10.1039/D1CP01734A10.1039/D1CP01734A ↗
52. 10.1021/acsnano.1c1061810.1021/acsnano.1c10618 ↗
53. 10.1002/adhm.20190186210.1002/adhm.201901862 ↗
54. 10.1002/adma.20190198910.1002/adma.201901989 ↗
55. 10.1148/radiol.229101089810.1148/radiol.2291010898 ↗
56. 10.1016/j.jacr.2017.12.02810.1016/j.jacr.2017.12.028 ↗