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Integrative Biochemical Diagnostics: From Prenatal Genomics to Environmental and Behavioral Biomarkers

Zenodo (CERN European Organization for Nuclear Research) 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ian Pranandi

Summary

This short review proposes an integrative diagnostic framework linking advances in prenatal genomics, metabolic biomarkers, and environmental sensing, including detection of microplastics and endocrine-disrupting chemicals as emerging biomarkers of health risk.

ABSTRACT: Biochemical diagnostics are undergoing a profound transformation driven by advances in genomics, bioinformatics, environmental biosensing, and circadian physiology. This short review synthesizes emerging developments across these domains to propose an integrative framework for modern diagnostic practice. Non-invasive prenatal testing using cell-free fetal DNA and RNA has expanded early detection of genetic and developmental abnormalities, while bioinformatics-driven identification of salivary and metabolic biomarkers has enabled accessible, low-burden assessment of detoxification pathways and metabolic phenotypes. Environmental exposures such as microplastics and endocrine-disrupting chemicals add a critical external dimension to biochemical variation, interacting with culturally mediated behaviors and dietary patterns to shape population-level metabolic traits. Circadian rhythms introduce a temporal layer of physiological regulation, with artificial intelligence now capable of modeling hormonal and metabolic oscillations to improve diagnostic accuracy and chronotherapy planning. Together, these interconnected domains highlight the need for comprehensive, multidimensional diagnostic strategies that reflect the complexity of human biology. Integrating genetic, environmental, cultural, and temporal determinants offers a more precise and equitable pathway toward personalized medicine and population health monitoring.

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