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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Human biomarker navigator
Meng-Yao Li1,2, Qian Zhang3, Zijie Wang4
1Innovation Institute of Integrated Traditional Chinese and Western Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences Jinan China.
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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.
