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Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Quantifying critical states of complex diseases using single-sample dynamic network biomarkers.

Xiaoping Liu^1,2,3,4, Xiao Chang^1,2, Rui Liu⁵

¹Institute of Industrial Science, the University of Tokyo, Tokyo, Japan.

Plos Computational Biology

|July 6, 2017

Summary

A new method called single-sample dynamic network biomarkers (sDNB) allows for early disease prediction using just one sample per patient. This approach identifies critical states, offering personalized disease forecasting.

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High Content Screening in Neurodegenerative Diseases

High Content Screening in Neurodegenerative Diseases

Published on: January 6, 2012

Area of Science:

Biomedical Engineering
Computational Biology
Systems Biology

Background:

Dynamic network biomarkers (DNB) can predict disease critical states but require multiple samples per individual, limiting clinical use.
Current biomarkers primarily diagnose existing conditions rather than predict future disease onset.

Purpose of the Study:

To develop a novel single-sample DNB (sDNB) method for early disease prediction.
To enable personalized disease forecasting using readily available individual patient data.

Main Methods:

Developed a novel sDNB approach analyzing differential associations within a single sample.
Applied sDNB to influenza virus infection and cancer metastasis datasets.

Main Results:

Successfully identified critical states preceding disease symptoms in influenza.
Accurately predicted the onset of distant metastasis in cancer patients from single samples.
Demonstrated sDNB's effectiveness in quantifying critical states at the individual level.

Conclusions:

Single-sample DNB (sDNB) offers a viable method for personalized, early disease prediction.
sDNB shifts biomarker utility from diagnosis to near-future disease forecasting.
This method enhances the clinical applicability of DNB theory for proactive healthcare.