This review offers the initial comprehensive elucidation of the biomarker interaction networks across diverse systems, organs, and diseases, and delineates the operational framework for establishing a “biomarker navigation system”.
Abstract
Abstract Biomarkers play a pivotal role in contemporary medical research, particularly in the early diagnosis of diseases and personalized treatment. Although previous studies have systematically reviewed markers across various disease domains, an integrated framework that connects major physiological systems, encompasses multiple organs, and spans a broad spectrum of diseases is still lacking. In the context of modern health challenges, marked by the high prevalence of chronic diseases and widespread comorbidities, establishing a panoramic biomarker navigation system is imperative. This review offers the initial comprehensive elucidation of the biomarker interaction networks across diverse systems, organs, and diseases, and delineates the operational framework for establishing a “biomarker navigation system”. The core contribution of this work is a transition from ‘knowledge enumeration’ to a more integrated, systems‐level approach. This provides new perspectives in systems biology for understanding the shared pathological foundations of comorbidities. Furthermore, it provides a theoretical basis for a reorientation in medicine, from a focus on ‘treating existing diseases’ to ‘preventive interventions’ and from ‘single‐disease management’ to a comprehensive, systems‐based approach. To facilitate the exploration and application of this system–organ–disease–biomarker network, we developed the “Human Biomarker Navigator” web platform (http://www.hbiomarker.com), which allows researchers and clinicians to efficiently retrieve the functional characteristics and clinical significance of diverse biomarkers across different disease contexts.
The value of MODPM lies not in stacking additional data layers but in building a multiscale, continuously learnable framework to link biological heterogeneity to clinically interpretable and actionable decisions.
This review provides a comprehensive, systems-level framework for translational discovery in cardiovascular disease, synthesizing advances in multi-omics technologies, network biology, artificial intelligence, and bioinformatics applied to conditions including thoracic aortic aneurysm, heart failure, valvular disease,...
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Recent technological advances and applications of multi-omics in kidney diseases are critically reviewed, with particular attention to biomarker discovery and clinical translation, and the challenges and future directions of multi-omics integration and its application in precision medicine are discussed.