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Updated: Apr 23, 2026
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
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Proteomics for precision nutrition: current evidence and future directions.
Mirko Marino1, Cristian Del Bo', Patrizia Riso
1Division of Human Nutrition, Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, Milan, Italy.
Current Opinion in Clinical Nutrition and Metabolic Care
|April 21, 2026
Summary
Proteomics research shows diet-proteome links are consistent, but translating these findings into personalized nutrition plans requires more large-scale validation and outcome-driven trials for clinical use.
Area of Science:
- Clinical Nutrition
- Metabolomics
- Proteomics
Background:
- Proteomics research in clinical nutrition and metabolism has advanced significantly.
- The field aims to develop clinically actionable precision nutrition strategies.
Purpose of the Study:
- Critically evaluate recent proteomics research (mid-2024 to early-2026) in clinical nutrition and metabolism.
- Assess progress towards clinically actionable precision nutrition applications.
Main Methods:
- Review of large prospective cohort studies linking circulating proteomic signatures to dietary patterns and health outcomes.
- Analysis of interventional studies examining protein responses to dietary modifications.
- Evaluation of multiomics integration and machine-learning approaches.
Main Results:
- Circulating proteomic signatures reflect dietary patterns and are associated with cardiometabolic, hepatic, and neurodegenerative outcomes.
- Proteomic signatures show modest incremental predictive value beyond established risk models.
- Interventional studies confirm protein responses to diet, but are smaller and rarely use proteomic-guided randomization.
- Multiomics and machine learning improve discovery but lack consistent validation and clinical utility demonstration.
Conclusions:
- Diet-proteome associations are biologically coherent and reproducible at the population level.
- Translating these associations into individualized dietary prescriptions at scale remains a challenge.
- Further research is needed on cross-platform consistency, clinical utility, and outcome-driven trials for routine precision nutrition.
