In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease

Buckler, Andrew J.; Marlevi, David; Skenteris, Nikolaos T; Lengquist, Mariette; Kronqvist, Malin; Matic, Ljubica; Hedin, Ulf

doi:10.1016/j.compbiomed.2022.106364

Cited by 6 publications

References 102 publications

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(Prote)omics for Superior Management of Kidney and Cardiovascular Disease—A Thought‐Provoking Impulse From Nephrology

Beige,

Masanneck

2024

Proteomics

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Chronic kidney disease (CKD) and cardiovascular disease (CVD) are complex conditions often managed by nephrologists. This viewpoint paper advocates for a multi‐omics approach, integrating clinical symptom patterns, non‐invasive biomarkers, imaging and invasive diagnostics to enhance diagnosis and treatment. Early detection of molecular changes, particularly in collagen turnover, is crucial for preventing disease progression. For instance, urinary proteomics can detect early molecular changes in diabetic kidney disease (DKD), heart failure (HF) and coronary artery disease (CAD), enabling proactive interventions and reducing the need for invasive procedures like renal biopsies. For example, urinary proteomic patterns can differentiate between glomerular and extraglomerular pathologies, aiding in the diagnosis of specific kidney diseases. Additionally, urinary peptides can predict CKD progression and HF development, offering a non‐invasive alternative to traditional biomarkers like eGFR and NT‐proBNP. The integration of multi‐omics data with artificial intelligence (AI) holds promise for personalised treatment strategies, optimizing patient outcomes. This approach can also reduce healthcare costs by minimizing unnecessary invasive procedures and hospitalizations. In conclusion, the adoption of multi‐omics and non‐invasive biomarkers in nephrology and cardiology can revolutionize disease management, enabling early detection, personalised treatment and improved patient outcomes.

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