ArticleScientific reports2012
Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers.
Article in Scientific reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.
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Who cites it
313 citing papers in PubMed.
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- Toward A Pre-disease State-centered New Paradigm in Multi-omics Research.Genomics, proteomics & bioinformatics · 2026Article
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- HNPP: Higher-order network-based personalized PageRank for detecting critical phase in complex biological systems.PLoS computational biology · 2026Article
- AI-driven tripartite classification for optimizing wearable bioelectronics in depression management.Science advances · 2026Article
- Early Warning Signals in Ecological Time-Series.Entropy (Basel, Switzerland) · 2026Review
- Urinary biomarkers for lung cancer detection.The journal of liquid biopsy · 2026Article
- Self-supervised reservoir computing with spatial-temporal encoding for identifying critical transitions.Nature communications · 2026Article
- Construction of liver organoid models by hepatobiliary differentiation from human induced pluripotent stem cells: state of the art, challenges and improving strategies.Stem cell research & therapy · 2026Review
- Therapeutic Potential of Cucurbitacin I in Colon Adenocarcinoma Is Mediated by Modulation of SDHA Expression.Journal of cellular and molecular medicine · 2026Article
- Proteomic profiling and molecular reclassification of high-grade serous ovarian cancer identifies prognostic subtypes and immunotherapy biomarkers.EBioMedicine · 2026Article
- Therapy-induced cholesterol biosynthesis drives lung cancer dormancy and drug resistance.The Journal of clinical investigation · 2026Article
- Detecting the Pre-Disease State of Single Sample Through the Change in Local Network Enrichment Level.Genes · 2026Article
- Characterising Epigenetic Tipping Points using a Spectral Dimension Reduction Approach.Bulletin of mathematical biology · 2026Article
- Hallmarks of the pre-disease state: prevention and control of the pre-disease state, a tipping point between health and disease.Cell discovery · 2026Article
- Spatio-Temporal Proteomic Landscape Reveals Early Warning Signals of Esophageal Squamous Cell Carcinoma Progression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Analysis of the transcriptomic and metabolomic landscape of prostate cancer with different anatomical origins using snFLARE-seq and mxFRIZNGRND.Nature communications · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- BCTI: a Bayesian network-based method for revealing critical transitions in complex biological systems.PeerJ · 2026Article
253 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considerable evidence suggests that during the progression of complex diseases, the deteriorations are not necessarily smooth but are abrupt, and may cause a critical transition from one state to another at a tipping point. Here, we develop a model-free method to detect early-warning signals of such critical transitions, even with only a small number of samples. Specifically, we theoretically derive an index based on a dynamical network biomarker (DNB) that serves as a general early-warning signal indicating an imminent bifurcation or sudden deterioration before the critical transition occurs. Based on theoretical analyses, we show that predicting a sudden transition from small samples is achievable provided that there are a large number of measurements for each sample, e.g., high-throughput data. We employ microarray data of three diseases to demonstrate the effectiveness of our method. The relevance of DNBs with the diseases was also validated by related experimental data and functional analysis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.