ArticleScientific reports2013
Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Differentially Coexpressed Disease Gene Identification Based on Gene Coexpression Network.BioMed research international · 2016Pooled it
- Drug repositioning discovery for early- and late-stage non-small-cell lung cancer.BioMed research international · 2014Pooled it
- Detecting tipping points of complex diseases by network information entropy.Briefings in bioinformatics · 2024Article
- Systematic comparison of differential expression networks in MTB mono-, HIV mono- and MTB/HIV co-infections for drug repurposing.PLoS computational biology · 2022Article
- Article
- Multi-Level Comparative Framework Based on Gene Pair-Wise Expression Across Three Insulin Target Tissues for Type 2 Diabetes.Frontiers in genetics · 2019Article
- Clustering of the structures by using "snakes-&-dragons" approach, or correlation matrix as a signal.PloS one · 2019Article
- BioNetStat: A Tool for Biological Networks Differential Analysis.Frontiers in genetics · 2019Article
- Extracting proteins involved in disease progression using temporally connected networks.BMC systems biology · 2018Article
- Biomarker microRNAs for prostate cancer metastasis: screened with a network vulnerability analysis model.Journal of translational medicine · 2018Article
- Integrative network analyses of wilt transcriptome in chickpea reveal genotype dependent regulatory hubs in immunity and susceptibility.Scientific reports · 2018Article
- Exploration of gene functions for esophageal squamous cell carcinoma using network-based guilt by association principle.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2018Article
- Identification of key signaling pathways in cerebral small vessel disease using differential pathway network analysis.Experimental and therapeutic medicine · 2017Article
- Prediction of optimal gene functions for osteosarcoma using network-based- guilt by association method based on gene oncology and microarray profile.Journal of bone oncology · 2017Article
- Pathway Cross-Talk Analysis in Detecting Significant Pathways in Barrett's Esophagus Patients.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
- Article
- Tracking disease progression by searching paths in a temporal network of biological processes.PloS one · 2017Article
- Sodium selenate regulates the brain ionome in a transgenic mouse model of Alzheimer's disease.Scientific reports · 2016Article
- Network biology concepts in complex disease comorbidities.Nature reviews. Genetics · 2016Review
- Identification of novel biomarkers for preeclampsia on the basis of differential expression network analysis.Experimental and therapeutic medicine · 2016Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
T2DM is complex in its dynamical dependence on multiple tissues, disease states, and factors' interactions. However, most existing work devoted to characterizing its pathophysiology from one static tissue, individual factors, or single state. Here we perform a spatio-temporal analysis on T2DM by developing a new form of molecular network, i.e. 'differential expression network' (DEN), which can reflect phenotype differences at network level. Static DENs show that three tissues (white adipose, skeletal muscle, and liver) all suffer from severe inflammation and perturbed metabolism, among which metabolic functions are seriously affected in liver. Dynamical analysis on DENs reveals metabolic function changes in adipose and liver are consistent with insulin resistance (IR) deterioration. Close investigation on IR pathway identifies 'disease interactions', revealing that IR deterioration is earlier than that on SlC2A4 in adipose and muscle. Our analysis also provides evidence that rising of insulin secretion is the root cause of IR in diabetes.
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