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Plant-based food biomarkers face significant analytical and biological barriers to clinical applicationTracking Plant Based Food Intake Using New Biological Markers and Data

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Key Takeaway
Note that inter-individual variability and matrix effects currently limit the clinical utility of plant-based biomarkers.

This narrative review explores the identification of validated plant-based food biomarkers and the associated analytical and biological obstacles to their clinical application. The authors categorize existing biomarkers into three categories: validated, emerging, and discovery-stage candidates. The review also evaluates analytical methodologies, such as high-resolution mass spectrometry, and the potential of multi-marker panels.

Key findings highlight significant barriers to the widespread adoption of these biomarkers. These include inter-individual metabolic variability, inadequate food specificity, and matrix effects in biological samples. The authors suggest that integrating foodomics databases with targeted validation studies could accelerate the discovery process for these markers.

Clinical application is currently limited by a substantial gap between initial discovery and practical implementation. While the review identifies potential biomarkers for monitoring plant-based food intake, the lack of specific clinical outcomes or validated concentrations for specific foods means these markers are not yet ready for routine clinical use. The findings suggest that while the field is advancing, significant technical hurdles remain for clinical integration.

Researchers are working to find specific markers in the body that can show what kind of plant-based foods a person eats. These markers are important because they can help doctors and nutritionists understand a person's diet more accurately. Currently, scientists are sorting these markers into different groups based on how well they work and how much they are known.

There are some challenges to making this technology work perfectly in a clinic. Every person's body processes food differently, which can make it hard to tell exactly what someone ate. Also, some markers are not specific enough to one type of food, and the complex mix of chemicals in the human body can sometimes hide the signals.

To improve these tests, experts are combining large food databases with targeted testing. By using advanced tools like high-resolution mass spectrometry, they hope to find more reliable ways to track nutrition. This work aims to bridge the gap between laboratory research and practical tools that can help people manage their health through better diet tracking.

What this means for you:
New markers can help track plant-based diets, but individual differences and complex biology currently limit their use.

Common questions

What are plant-based food biomarkers?

These are markers identified in the body that can indicate what types of plant-based foods a person has eaten. The study categorized these into three groups: validated, emerging, and discovery-stage candidates. They are used to help researchers understand and track dietary intake through biological samples.

Can these markers be used in a doctor's office right now?

Not yet. The review highlights a substantial gap between the discovery of these markers and their use in clinical applications. Because of issues like individual metabolic differences and sample processing hurdles, these markers are not yet ready for routine use in a clinical setting.

What are the main challenges in using these markers?

There are three main obstacles: inter-individual metabolic variability, inadequate food specificity, and matrix effects in biological samples. These factors make it difficult to determine exactly which food a marker came from or how it will react in different people.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
As diets shift globally toward plant-based foods, objective tools are needed to monitor intake and evaluate the resulting health outcomes. Biomarkers of dietary exposure offer complementary objective measurements for self-reported dietary assessment methods. Recent developments of mass spectrometry-based metabolomics have enabled the discovery of many emerging biomarkers for plant-based foods; yet a substantial gap remains between discovery and clinical application. This narrative review addresses the question: which plant-based food biomarkers are sufficiently validated for use in dietary exposure assessments, and which analytical and biological obstacles currently limit their application in population studies? Biomarkers reported in the literature were categorized as validated, emerging, or discovery-stage candidates. Analytical methodologies for biomarker quantification are also discussed, including high-resolution mass spectrometry platforms, and emerging techniques. Challenges identified in biomarker validation involve inter-individual metabolic variability, inadequate food specificity, and matrix effects in biological samples. Integration of foodomics databases with targeted validation studies potentially offers an efficient approach to speed up biomarker discovery. Multi-marker panels combining structurally different metabolites are promising for assessing complex plant-based dietary patterns.
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