Metrics of Physiological Network Topology Are Novel Biomarkers to Capture Functional Disability and Health.

Meng Hao, Hui Zhang, Shuai Jiang, Zixin Hu, Xiaoyan Jiang, Jingyi Wu, Yi Li, Li Jin, Xiaofeng Wang

Department of Geriatrics, Huadong Hospital, Shanghai Medical College, Fudan University, Human Phenome Institute, Fudan University, Shanghai, China. · pubmed

Paper

Abstract

Physiological networks are highly complex, integrating connections among multiple organ systems and their dynamic changes underlying human aging. It is unknown whether individual-level network could serve as robust biomarkers for health and aging.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper explores the concept of physiological networks as potential biomarkers for health and aging, which aligns with the investigation of underlying mechanisms of aging rather than merely addressing age-related diseases. However, while the idea is intriguing, the novelty and applicability of the findings may be limited, suggesting a solid but not groundbreaking contribution to the field.

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