Carbon Nanostructure-Initiator Mass Spectrometry for Metabolic Biomarker Detection of Prediabetes

Prediabetes is a borderline condition that can progress to type 2 diabetes mellitus (T2DM) and develop into other severe diseases without timely intervention. Over 80% individuals with prediabetes are unaware that they have the condition. Identifying metabolic biomarkers for prediabetes diagnosis is crucial for preventing its progression to T2DM. In this study, we introduce the first carbon nanostructure initiator mass spectrometry (C-NIMS) platform for metabolic detection. By using macroporous carbon microspheres with a large pore size of ≈80 nm and a high pore volume of 7.5 cm 3 g –1 to load initiators, the detection sensitivity can be enhanced by three orders. With the developed C-NIMS platform, plasma metabolic fingerprints (PMFs) are constructed for the successful differentiation of prediabetes, T2DM, and normal conditions in mouse plasma samples, showing AUCs of 0.903–0.972. The development of the C-NIMS platform presents a new branch in the research of mass spectrometry (MS)-based technology, offering a promising approach to diagnostic applications and biomarker identification.

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Publication Details

Journal
Analytical Chemistry
Published
2026-06-25
DOI
https://doi.org/10.1021/acs.analchem.6c01467
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Carbon Nanostructure-Initiator Mass Spectrometry for Metabolic Biomarker Detection of Prediabetes

Chengzhong Yu, Xiaodan Huang, Jingjing Wan, Shuimei Chen et al.
Analytical Chemistry
Mass Spectrometry Techniques and Applications
article

Carbon Nanostructure-Initiator Mass Spectrometry for Metabolic Biomarker Detection of Prediabetes

Chengzhong Yu, Xiaodan Huang, Jingjing Wan, Shuimei Chen, Hao Song, Xi Zhang, Kun Qian, Xiaoran Sun, Chang Lei, Larry Cai, Chen Chen, Yida Huang
article en

Abstract

Prediabetes is a borderline condition that can progress to type 2 diabetes mellitus (T2DM) and develop into other severe diseases without timely intervention. Over 80% individuals with prediabetes are unaware that they have the condition. Identifying metabolic biomarkers for prediabetes diagnosis is crucial for preventing its progression to T2DM. In this study, we introduce the first carbon nanostructure initiator mass spectrometry (C-NIMS) platform for metabolic detection. By using macroporous carbon microspheres with a large pore size of ≈80 nm and a high pore volume of 7.5 cm 3 g –1 to load initiators, the detection sensitivity can be enhanced by three orders. With the developed C-NIMS platform, plasma metabolic fingerprints (PMFs) are constructed for the successful differentiation of prediabetes, T2DM, and normal conditions in mouse plasma samples, showing AUCs of 0.903–0.972. The development of the C-NIMS platform presents a new branch in the research of mass spectrometry (MS)-based technology, offering a promising approach to diagnostic applications and biomarker identification.

Analytical Chemistry
The University of Sydney (AU), The University of Queensland (AU), Shanghai Jiao Tong University (CN), Harry Perkins Institute of Medical Research (AU), Renji Hospital (CN), Institute of Bioengineering and Nanotechnology (SG), Robotics Research (United States) (US), East China Normal University (CN)
Australian Research Council, National Health and Medical Research Council
Openalex Percentile: Top 13%
Mass Spectrometry Techniques and Applications
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