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Updated: May 28, 2026
Assessing Hepatic Metabolic Changes During Progressive Colonization of Germ-free Mouse by 1H NMR Spectroscopy
Published on: December 15, 2011
ATP-responsive NIR-Ⅱ fluorescence/mass spectrometry dual-modal nanoprobe for precision diagnosis of metabolic
Fei Huang1, Quan Jing2, Ningli Wang2
1National Joint Engineering Research Center for Highly-Efficient Utilization Technology of Forest Biomass Resources, College of Materials & Chemical Engineering, Southwest Forestry University, Kunming, 650224, China; CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory of Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
Background:
Metabolic dysfunction-associated steatohepatitis (MASH) requires analytical tools capable of noninvasive and dynamic evaluation of hepatic metabolic dysfunction in vivo. Adenosine triphosphate (ATP) is a key indicator of mitochondrial activity and energy metabolism, yet its selective detection in complex biological environments remains challenging.
Results:
An ATP-responsive dual-modal nanoplatform, NA1060@ZIF-90, was developed by integrating near-infrared Ⅱ (NIR-Ⅱ) fluorescence imaging with mass spectrometry imaging (MSI). ATP-Zn2+ coordination induces disassembly of the ZIF-90 framework, activating a turn-on NIR-Ⅱ fluorescence signal and enabling sensitive and selective ATP detection. The platform allows real-time visualization of hepatic ATP depletion and recovery in free-fatty-acid (FFA) treated hepatocytes and a methionine-choline-deficient (MCD) diet-induced MASH mouse model. MSI analysis further provides spatial molecular validation by correlating probe activation with lipid metabolic remodeling.
Significance:
This work presents an analytical strategy that couples dynamic in vivo metabolic imaging with label-free spatial molecular analysis, offering a robust framework for MASH diagnosis, disease evaluation, and therapeutic efficacy assessment, and highlighting the potential of ATP-responsive nanomaterials in metabolic disease analysis.
