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Related Experiment Video

Updated: Jan 18, 2026

Detection of Microregional Hypoxia in Mouse Cerebral Cortex by Two-photon Imaging of Endogenous NADH Fluorescence

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Published on: February 21, 2012

In-Source Photoderivatization-Enhanced Neurometabolic Profiling Deciphers Vascular Cognitive Impairment.

Yingying Lin¹, Xinjie Gao², Shuang Xu¹

¹School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, P. R. China.

Journal of the American Chemical Society

|January 16, 2026

Summary

A new mass spectrometry method enhances detection of neurotransmitters for studying vascular cognitive impairment (VCI). This technique reveals key metabolic changes in VCI patients, aiding in understanding disease progression.

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Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases

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Published on: December 6, 2016

Area of Science:

Neuroscience
Analytical Chemistry
Biochemistry

Background:

Vascular cognitive impairment (VCI) pathogenesis is poorly understood due to challenges in neurometabolic profiling.
Detecting low-abundance metabolites and neurotransmitters (NTs) is difficult with current high-throughput methods.

Purpose of the Study:

To develop a novel mass spectrometry in-source photoderivatization (MSIPD) platform for enhanced neurometabolic profiling.
To improve the detection of neurotransmitters in VCI research.

Main Methods:

Utilized a novel photoreactive probe (5-methoxy-2-nitrobenzaldehyde) and TiO2 P25 for MSIPD.
Employed laser desorption/ionization mass spectrometry (LDI-MS) for rapid, low-sample-volume analysis.
Analyzed cerebrospinal fluid (CSF) from VCI patients and controls.

Main Results:

Achieved over 93% derivatization efficiency and high reproducibility (≤8.2%) for NTs.
Increased metabolite coverage twofold compared to underivatized samples.
Identified 12 significantly altered neuro-metabolites in VCI patients and stage-dependent changes in NTs like histamine and phenylalanine.

Conclusions:

Neurometabolic dysregulation, particularly of NTs, is implicated in VCI pathogenesis.
The MSIPD platform offers a sensitive, rapid, and efficient tool for translational neurometabolic profiling.
Findings provide insights into VCI progression and potential therapeutic targets.