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Abstract
Molecular imaging holds the potential for noninvasive and accurate grading of liver fibrosis. It is limited by the lack of biomarkers that strongly correlate with liver fibrosis grade. Here, we discover the grading potential of fibroblast activation protein alpha (FAPα) for liver fibrosis through transcriptional analysis and biological assays on clinical liver samples. The protein and mRNA expression of FAPα are linearly correlated with fibrosis grade (R2 = 0.89 and 0.91, respectively). A FAPα-responsive MRI molecular nanoprobe is prepared for quantitatively grading liver fibrosis. The nanoprobe is composed of superparamagnetic amorphous iron nanoparticles (AFeNPs) and paramagnetic gadoteric acid (Gd-DOTA) connected by FAPα-responsive peptide chains (ASGPAGPA). As liver fibrosis worsens, the increased FAPα cut off more ASGPAGPA, restoring a higher T1-MRI signal of Gd-DOTA. Otherwise, the signal remains quenched due to the distance-dependent magnetic resonance tuning (MRET) effect between AFeNPs and Gd-DOTA. The nanoprobe identifies F1, F2, F3, and F4 fibrosis, with area under the curve of 99.8%, 66.7%, 70.4%, and 96.3% in patients’ samples, respectively. This strategy exhibits potential in utilizing molecular imaging for the early detection and grading of liver fibrosis in the clinic.
Molecular imaging holds promise for liver fibrosis grading but limited by a lack of effective biomarker. Here, the authors discover the grading potential of fibroblast activation protein alpha and design a responsive MRI nanoprobe that achieves fibrosis grading in mice models and clinical samples.
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1 Fudan University, Department of Radiology, Huashan Hospital, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Fudan University, Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Academy for Engineering and Technology, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
2 Fudan University, Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Academy for Engineering and Technology, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
3 Fudan University, Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Academy for Engineering and Technology, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443); Navy Medical University, Department of Nuclear Medicine, Changhai Hospital, Shanghai, P. R. China (GRID:grid.411525.6) (ISNI:0000 0004 0369 1599)
4 Fudan University, Department of Radiology, Huashan Hospital, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
5 Fudan University, Department of General Surgery, Huashan Hospital, Shanghai, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
6 Yiwu Research Institute of Fudan University, Center for Biotechnology and Biomedical Engineering, Yiwu, P. R. China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
7 Tongji University School of Medicine, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital Tongji University Cancer Center, Shanghai, P. R. China (GRID:grid.24516.34) (ISNI:0000000123704535)
8 Nanjing Medical University, Department of Radiology, Wuxi People’s Hospital, Wuxi, P. R. China (GRID:grid.89957.3a) (ISNI:0000 0000 9255 8984)