Multimodal phenotyping reveals plant-food-related dietary information in serum Raman spectra of community-dwelling Japanese adults
Healthy dietary patterns are associated with long-term health, but diet-quality scores do not reveal how habitual dietary information is represented in human biological phenotypes. Here we linked habitual dietary assessment with preceding health records and contemporaneous clinical chemistry, serum metabolomics and serum Raman spectra in community-dwelling Japanese adults. Higher diet quality…
A recent study has uncovered new insights into the relationship between dietary patterns and human biological phenotypes. By linking habitual dietary assessments with health records, clinical chemistry results, serum metabolomics, and serum Raman spectra, researchers were able to explore the multifaceted representation of dietary information in human biology.
The study involved community-dwelling Japanese adults, and the findings revealed that higher diet quality was associated with a more favorable preceding health profile. However, diet quality scores did not define discrete states across contemporary multivariate phenotypes. Instead, specific dietary information was recoverable across multiple layers of analysis.
Serum Raman spectra emerged as a particularly valuable tool in this study. Instead of providing a single biological state for habitual diet, Raman variation could be traced to {beta}-carotene equivalent, which appeared in carotenoid-assigned bands. This dietary dimension was linked to a broader plant-food-related dietary pattern.
The study concludes that habitual diet is represented through biologically traceable dietary dimensions that are distributed across complementary phenotypic layers, offering a more nuanced understanding of the complex relationship between diet and human health.
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