Multivariate metal-organic frameworks enable chemical shift-encoded MRI with femtomolar sensitivity for biological systems

Fluorescent molecules with specific target moieties are essential for histopathological analysis, but their limited tissue penetration depth makes in vivo, in situ color encoding analysis challenging. Magnetic resonance imaging (MRI) offers deep tissue penetration. When combined with chemical shift-encoded MRI reporters, it enables in vivo chemical shift encoding for biotarget imaging and analysis. These reporters require both strong signal intensity and large chemical shift window. However, conventional proton MRI reporters, with low sensitivity and a small chemical shift window, limit their in vivo applications. Here, we describe a chemical shift-encoded hyperpolarized <sup>129</sup>Xe MRI reporter based on the multivariate metal-organic framework, NiZn-ZIF-8, to overcome these challenges. The proposed NiZn-ZIF-8 gives distinct chemical shifts for dissolved and entrapped <sup>129</sup>Xe without signal interference, enhancing the <sup>129</sup>Xe NMR signal by 210 times compared to dissolved <sup>129</sup>Xe in water and biological media. This enables detection threshold at ≈ 4 fM concentrations, setting a record for the lowest concentration of xenon hosts detected in nanomaterials. Additionally, NiZn-ZIF-8 exhibits good in vivo MRI performance, allowing xenon encoding and distinction in rat lungs. NiZn-ZIF-8 represents a versatile and powerful platform for advanced molecular imaging and in vivo biomedical diagnostics.

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Publication Details

Journal
Nature Communications
Published
2025-07-24
DOI
https://doi.org/10.1038/s41467-025-62110-4
Citations
2
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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article

Multivariate metal-organic frameworks enable chemical shift-encoded MRI with femtomolar sensitivity for biological systems

Rui Zhou, Zhen Wang, Louis‐S. Bouchard, Minghui Yang et al.
2 citations
Nature Communications
Advanced NMR Techniques and Applications
1.51
article

Multivariate metal-organic frameworks enable chemical shift-encoded MRI with femtomolar sensitivity for biological systems

Rui Zhou, Zhen Wang, Louis‐S. Bouchard, Minghui Yang, Quer Yue, Xin Hua Zhou, Zhenqi Xiao, Lei Zhang, Haidong Li, Ming Zhang, Xiuchao Zhao, Yaping Yuan, Qingbin Zeng, Qianni Guo, Yuqi Yang, Weiping Jiang
article en
2 citations

Abstract

Fluorescent molecules with specific target moieties are essential for histopathological analysis, but their limited tissue penetration depth makes in vivo, in situ color encoding analysis challenging. Magnetic resonance imaging (MRI) offers deep tissue penetration. When combined with chemical shift-encoded MRI reporters, it enables in vivo chemical shift encoding for biotarget imaging and analysis. These reporters require both strong signal intensity and large chemical shift window. However, conventional proton MRI reporters, with low sensitivity and a small chemical shift window, limit their in vivo applications. Here, we describe a chemical shift-encoded hyperpolarized <sup>129</sup>Xe MRI reporter based on the multivariate metal-organic framework, NiZn-ZIF-8, to overcome these challenges. The proposed NiZn-ZIF-8 gives distinct chemical shifts for dissolved and entrapped <sup>129</sup>Xe without signal interference, enhancing the <sup>129</sup>Xe NMR signal by 210 times compared to dissolved <sup>129</sup>Xe in water and biological media. This enables detection threshold at ≈ 4 fM concentrations, setting a record for the lowest concentration of xenon hosts detected in nanomaterials. Additionally, NiZn-ZIF-8 exhibits good in vivo MRI performance, allowing xenon encoding and distinction in rat lungs. NiZn-ZIF-8 represents a versatile and powerful platform for advanced molecular imaging and in vivo biomedical diagnostics.

Nature CommunicationsVol. 16(1)
California NanoSystems Institute (US), Hainan University (CN), Wuhan Institute of Physics and Mathematics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China, Youth Innovation Promotion Association
Openalex Percentile: Top 17%
Advanced NMR Techniques and Applications
1.51
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