ArticleClinical proteomics2024
Multiplex proteomics identifies inflammation-related plasma biomarkers for aging and cardio-metabolic disorders.
Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Long-term molecular embedding of early life adversity: leukocyte DNA methylation and gene expression associations from childhood to young adulthood.Epigenomics · 2026Article
- Threonine in Coronary Artery Disease: Insights From Metabolic Syndrome Amino Acid Profiling.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- A new insight of hypertrophic cardiomyopathy: integrated analysis of differentially expressed genes, expression quantitative trait loci, and mendelian randomization.Journal of cardiothoracic surgery · 2026Article
- Proteomic signature of aging in bloodstain samples: a preliminary study.BMC genomics · 2025Article
- Exosomes from high-altitude cerebral edema patients induce cognitive dysfunction by altering oxidative stress responses in mice.Translational psychiatry · 2025Article
- Exploring human plasma proteomic variations in mucolipidosis type IV.Molecular therapy. Methods & clinical development · 2025Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCardio-metabolic disorders (CMDs) are common in aging people and are pivotal risk factors for cardiovascular diseases (CVDs). Inflammation is involved in the pathogenesis of CVDs and aging, but the underlying inflammatory molecular phenotypes in CMDs and aging are still unknown.
methodWe utilized multiple proteomics to detect 368 inflammatory proteins in the plasma of 30 subjects, including healthy young individuals, healthy elderly individuals, and elderly individuals with CMDs, by Proximity Extension Assay technology (PEA, O-link). Protein-protein interaction (PPI) network and functional modules were constructed to explore hub proteins in differentially expressed proteins (DEPs). The correlation between proteins and clinical traits of CMDs was analyzed and diagnostic value for CMDs of proteins was evaluated by ROC curve analysis.
resultOur results revealed that there were 161 DEPs (adjusted p < 0.05) in normal aging and EGF was the most differentially expressed hub protein in normal aging. Twenty-eight DEPs were found in elderly individuals with CMDs and MMP1 was the most differentially expressed hub protein in CMDs. After the intersection of DEPs in aging and CMDs, there were 10 overlapping proteins: SHMT1, MVK, EGLN1, SLC39A5, NCF2, CXCL6, IRAK4, REG4, PTPN6, and PRDX5. These proteins were significantly correlated with the level of HDL-C, TG, or FPG in plasma. They were verified to have good diagnostic value for CMDs in aging with an AUC > 0.7. Among these, EGLN1, NCF2, REG4, and SLC39A2 were prominently increased both in normal aging and aging with CMDs.
conclusionOur results could reveal molecular markers for normal aging and CMDs, which need to be further expanded the sample size and to be further investigated to predict their significance for CVDs.
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