ArticleG3 (Bethesda, Md.)2018
Systems Genetics Approach to Biomarker Discovery: GPNMB and Heart Failure in Mice and Humans.
Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- A novel plasma proteomic signature predicts long-term incident heart failure risk among persons living with HIV.medRxiv : the preprint server for health sciences · 2026Article
- A systems genetics approach to uncover mitochondrial drivers of heart failure reveals mitochondria-nuclear cross talk in genetically diverse mouse strains.bioRxiv : the preprint server for biology · 2025Article
- Glycoprotein non-metastatic melanoma protein B is a potential biomarker for arthroplasty aseptic loosening.Scientific reports · 2025Article
- Article
- Bone-marrow macrophage-derived GPNMB protein binds to orphan receptor GPR39 and plays a critical role in cardiac repair.Nature cardiovascular research · 2024Article
- Article
- Quantitative trait locus mapping identifies the Gpnmb gene as a modifier of mouse macrophage lysosome function.Scientific reports · 2021Article
- Two missense mutations in GPNMB cause autosomal recessive amyloidosis cutis dyschromica in the consanguineous pakistani families.Genes & genomics · 2021Article
- Novel biomarkers associated with incident heart failure in 10 106 Finnish men.ESC heart failure · 2021Article
- Gene Expression Profiles from Heart, Lung and Liver Samples of Total-Body-Irradiated Minipigs: Implications for Predicting Radiation-Induced Tissue Toxicity.Radiation research · 2020Article
- Transgenic Overexpression of GPNMB Protects Against MPTP-Induced Neurodegeneration.Molecular neurobiology · 2020Article
- Systems Genetics for Mechanistic Discovery in Heart Diseases.Circulation research · 2020Review
- Relevance of Multi-Omics Studies in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2019Review
Corrections and comments
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Authors and funding
19 authors at 4 institutions in 3 countries.
Funding
Abstract
We describe a simple bioinformatics method for biomarker discovery that is based on the analysis of global transcript levels in a population of inbred mouse strains showing variation for disease-related traits. This method has advantages such as controlled environment and accessibility to heart and plasma tissue in the preclinical selection stage. We illustrate the approach by identifying candidate heart failure (HF) biomarkers by overlaying mouse transcriptome and clinical traits from 91 Hybrid Mouse Diversity Panel (HMDP) inbred strains and human HF transcriptome from the Myocardial Applied Genomics Network (MAGNet) consortium. We found that some of the top differentially expressed genes correlated with known human HF biomarkers, such as galectin-3 and tissue inhibitor of metalloproteinase 1. Using ELISA assays, we investigated one novel candidate, Glycoprotein NMB, in a mouse model of chronic β-adrenergic stimulation by isoproterenol (ISO) induced HF. We observed significantly lower GPNMB plasma levels in the ISO model compared to the control group (p-value = 0.007). In addition, we assessed GPNMB plasma levels among 389 HF cases and controls from the METabolic Syndrome In Men (METSIM) study. Lower levels of GPNMB were also observed in patients with HF from the METSIM study compared to non-HF controls (p-value < 0.0001). In summary, we have identified several candidate biomarkers for HF using the cardiac transcriptome data in a population of mice that may be directly relevant and applicable to human populations.
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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.