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Updated: May 21, 2026

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Published on: January 26, 2024

Shaping Human Health and Nutrition Through Innovations in Spatial Metabolism.

Craig W Vander Kooi^1,2, Matthew S Gentry^1,2, Ramon C Sun^1,2

¹1Department of Biochemistry & Molecular Biology, College of Medicine, University of Florida, Gainesville, Florida, USA ; email: ramonsun@ufl.edu, craig.vanderkooi@ufl.edu, matthew.gentry@ufl.edu.

Annual Review of Nutrition

|May 19, 2026

Summary

This summary is machine-generated.

Spatial metabolomics reveals how diet impacts tissue metabolism and disease. This advanced imaging technique maps nutrients and metabolic changes, linking nutrition directly to health and disease pathogenesis.

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Area of Science:

Metabolomics
Nutrition Science
Biomedical Imaging

Background:

Spatial metabolomics preserves tissue architecture to reveal metabolic heterogeneity.
Traditional bulk analyses miss crucial spatial metabolic information.
Understanding tissue metabolism is key to nutrition and disease research.

Purpose of the Study:

To review advancements in spatial metabolomics for nutrition research.
To highlight applications in food analysis and diet-induced diseases.
To demonstrate how spatial data links nutrition, metabolism, and disease.

Main Methods:

Matrix-assisted laser desorption/ionization (MALDI) and Desorption Electrospray Ionization (DESI) imaging mass spectrometry.
Single-cell-resolution imaging and 3D metabolome reconstruction.
Stable isotope tracing and multiomics integration.

Main Results:

Spatial metabolomics maps nutrient distribution in foods.
Dietary patterns are shown to influence glycogen in cancer and lipid zonation in fatty liver disease.
Gut-brain axis metabolism modulation by diet is spatially resolved.

Conclusions:

Spatial metabolomics provides unprecedented mechanistic insights into nutrition-disease links.
This approach is crucial for understanding diet's role in metabolic health and disease.
Innovations enable detailed mapping of metabolic processes in complex biological systems.