Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers.

ABSTRACT:

Background

Type 1 diabetes (T1D) is a complex disease and harmful to human health, and most of the existing biomarkers are mainly to measure the disease phenotype after the disease onset (or drastic deterioration). Until now, there is no effective biomarker which can predict the upcoming disease (or pre-disease state) before disease onset or disease deterioration. Further, the detail molecular mechanism for such deterioration of the disease, e.g., driver genes or causal network of the disease, is still unclear.

Methods

In this study, we detected early-warning signals of T1D and its leading biomolecular networks based on serial gene expression profiles of NOD (non-obese diabetic) mice by identifying a new type of biomarker, i.e., dynamical network biomarker (DNB) which forms

SUBMITTER: Liu X 

PROVIDER: S-EPMC3654886 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature