ArticleNew journal of physics2014
Network-based association of hypoxia-responsive genes with cardiovascular diseases.
Article in New journal of physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- A narrative review of immune checkpoint inhibitor-related cardiotoxicity in lung cancer: mechanisms, risk stratification, and clinical management.Journal of thoracic disease · 2026Review
- Uncovering common pathobiological processes between COVID-19 and pulmonary arterial hypertension by integrating Omics data.Pulmonary circulation · 2023Article
- Gene network analysis to determine the effect of hypoxia-associated genes on brain damages and tumorigenesis using an avian model.Journal, genetic engineering & biotechnology · 2021Article
- Network determinants of cardiovascular calcification and repositioned drug treatments.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
- Terminalia arjuna extract and arjunic acid mitigate cobalt chloride-induced hypoxia stress-mediated apoptosis in H9c2 cells.Naunyn-Schmiedeberg's archives of pharmacology · 2019Article
- Systems Biology Approaches to Redox Metabolism in Stress and Disease States.Antioxidants & redox signaling · 2018Review
- Focus on the emerging new fields of Network Physiology and Network Medicine.New journal of physics · 2016Article
- An Organic Anion Transporter 1 (OAT1)-centered Metabolic Network.The Journal of biological chemistry · 2016Article
- Prolyl hydroxylation regulates protein degradation, synthesis, and splicing in human induced pluripotent stem cell-derived cardiomyocytes.Cardiovascular research · 2016Article
- Systems medicine: evolution of systems biology from bench to bedside.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Molecular oxygen is indispensable for cellular viability and function. Hypoxia is a stress condition in which oxygen demand exceeds supply. Low cellular oxygen content induces a number of molecular changes to activate regulatory pathways responsible for increasing the oxygen supply and optimizing cellular metabolism under limited oxygen conditions. Hypoxia plays critical roles in the pathobiology of many diseases, such as cancer, heart failure, myocardial ischemia, stroke, and chronic lung diseases. Although the complicated associations between hypoxia and cardiovascular (and cerebrovascular) diseases (CVD) have been recognized for some time, there are few studies that investigate their biological link from a systems biology perspective. In this study, we integrate hypoxia genes, CVD genes, and the human protein interactome in order to explore the relationship between hypoxia and cardiovascular diseases at a systems level. We show that hypoxia genes are much closer to CVD genes in the human protein interactome than that expected by chance. We also find that hypoxia genes play significant bridging roles in connecting different cardiovascular diseases. We construct an hypoxia-CVD bipartite network and find several interesting hypoxia-CVD modules with significant Gene Ontology (GO) similarity. Finally, we show that hypoxia genes tend to have more CVD interactors in the human interactome than in random networks of matching topology. Based on these observations, we can predict novel genes that may be associated with CVD. This network-based association study gives us a broad view of the relationships between hypoxia and cardiovascular diseases and provides new insights into the role of hypoxia in cardiovascular biology.
Identifiers
What OpenQuestion holds
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.