ArticleScientific reports2016
Discover the network underlying the connections between aging and age-related diseases.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed.
- Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.Biogerontology · 2026Article
- Evaluating transcriptional alterations associated with ageing and developing age prediction models based on the human blood transcriptome.Biogerontology · 2025Article
- Impact of comorbidity on health-related quality of life in newly diagnosed patients with lymphoma or multiple myeloma: results from the PROFILES-registry.Annals of hematology · 2024Article
- The age-dependent regulation of pancreatic islet landscape is fueled by a HNF1a-immune signaling loop.Mechanisms of ageing and development · 2024Article
- An Autophagy-Associated Prognostic Gene Signature for Breast Cancer.Biochemical genetics · 2023Article
- Biological mechanisms of aging predict age-related disease co-occurrence in patients.Aging cell · 2022Article
- Exploring the Association between Glutathione Metabolism and Ferroptosis in Osteoblasts with Disuse Osteoporosis and the Key Genes Connecting them.Computational and mathematical methods in medicine · 2022Article
- Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion.Frontiers in microbiology · 2022Article
- A Computational Framework to Identify Transcriptional and Network Differences between Hepatocellular Carcinoma and Normal Liver Tissue and Their Applications in Repositioning Drugs.BioMed research international · 2021Article
- Potential Drug Prediction of Glioblastoma Based on Drug Perturbation-Induced Gene Expression Signatures.BioMed research international · 2021Article
- Identifying Breast Cancer-Related Genes Based on a Novel Computational Framework Involving KEGG Pathways and PPI Network Modularity.Frontiers in genetics · 2021Article
- Predicting LncRNA-Disease Association by a Random Walk With Restart on Multiplex and Heterogeneous Networks.Frontiers in genetics · 2021Article
- Agent Repurposing for the Treatment of Advanced Stage Diffuse Large B-Cell Lymphoma Based on Gene Expression and Network Perturbation Analysis.Frontiers in genetics · 2021Article
- Transcriptomic and Proteomic Profiling of Human Stable and Unstable Carotid Atherosclerotic Plaques.Frontiers in genetics · 2021Article
- Evaluating the Risk of Breast Cancer Recurrence and Metastasis After Adjuvant Tamoxifen Therapy by Integrating Polymorphisms in Cytochrome P450 Genes and Clinicopathological Characteristics.Frontiers in oncology · 2021Article
- A Computational Framework to Identify Biomarkers for Glioma Recurrence and Potential Drugs Targeting Them.Frontiers in genetics · 2021Article
- Human geroprotector discovery by targeting the converging subnetworks of aging and age-related diseases.GeroScience · 2020Article
- Revealing the Interactions Between Diabetes, Diabetes-Related Diseases, and Cancers Based on the Network Connectivity of Their Related Genes.Frontiers in genetics · 2020Article
- Article
- Roles of Phenolic Compounds in the Reduction of Risk Factors of Cardiovascular Diseases.Molecules (Basel, Switzerland) · 2019Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Although our knowledge of aging has greatly expanded in the past decades, it remains elusive why and how aging contributes to the development of age-related diseases (ARDs). In particular, a global mechanistic understanding of the connections between aging and ARDs is yet to be established. We rely on a network modelling named "GeroNet" to study the connections between aging and more than a hundred diseases. By evaluating topological connections between aging genes and disease genes in over three thousand subnetworks corresponding to various biological processes, we show that aging has stronger connections with ARD genes compared to non-ARD genes in subnetworks corresponding to "response to decreased oxygen levels", "insulin signalling pathway", "cell cycle", etc. Based on subnetwork connectivity, we can correctly "predict" if a disease is age-related and prioritize the biological processes that are involved in connecting to multiple ARDs. Using Alzheimer's disease (AD) as an example, GeroNet identifies meaningful genes that may play key roles in connecting aging and ARDs. The top modules identified by GeroNet in AD significantly overlap with modules identified from a large scale AD brain gene expression experiment, supporting that GeroNet indeed reveals the underlying biological processes involved in the disease.
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Registered trials
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