Proteomic analysis enables molecular diagnostics

CARDIOVASCULAR SYSTEM

Cardiovascular system: central basis of operational capability


The cardiovascular system is particularly sensitive to physical exertion, stress, and long-term strain. Changes often go unnoticed in the early stages. Post-traumatic stress can also affect the heart.

KIDNEYS

The kidneys as a seismograph of the body


The kidneys play a central role in regulating fluids, electrolytes, and metabolic processes, and react quickly to systemic changes in the body. They are also sensitive to many substances, such as painkillers (ibuprofen).

Common pathophysiological mechanisms in cardiac and skeletal muscle dysfunction

The structural and functional similarities between cardiac and skeletal muscle are considerable. Both rely on an organized, collagen-rich extracellular matrix (ECM) for force transmission, fiber alignment, and tissue integrity. In a healthy state, the collagen networks are finely structured and organized. In disease, excessive collagen deposition and fibrosis alter tissue compatibility, impair signal transduction, and reduce effective contractility.

Fibrosis as a central mechanism in muscle dysfunction

In heart failure, fibrosis is considered a major driver of diastolic dysfunction, increased stiffness, and unfavorable cardiac remodeling. Increased collagen turnover in the myocardium correlates with disease progression and a poor prognosis. Molecular markers of collagen degradation in urine also show that changes in the extracellular matrix are detectable even before clinical symptoms appear.

Endothelial dysfunction as a common mechanism of heart and muscle damage

Endothelial dysfunction and impaired microvascular supply affect both cardiac and skeletal muscle tissue. Reduced nitric oxide bioavailability decreases vasodilation and capillary density, leading to tissue hypoperfusion. In heart failure, this process is closely linked to the disease progression. In skeletal muscle, it contributes to reduced exercise capacity, impaired regeneration, anabolic resistance, and age-related sarcopenia.

Further systemic stress and organ damage

Soldiers are more susceptible to micro-injuries, hormonal stress, immunosuppression, and infections such as influenza or COVID-19 due to intensive physical exertion. Such infections can have serious systemic consequences and increase the risk of cardiovascular events up to sevenfold.


The kidneys are particularly affected, reacting sensitively to dehydration, extreme exertion, and exercise-induced rhabdomyolysis. Additionally, the frequent use of painkillers such as ibuprofen can impair renal blood flow.


The endothelium also suffers from chronic oxidative and inflammatory stress. In combination with infections, this increases the risk of severe systemic complications, including sepsis. Environmental factors such as air pollution or pollutants further exacerbate these stresses.

Biomarkers in urine detect early molecular changes in cardiovascular and kidney diseases.

Urine proteomics enables the non-invasive detection of disease-associated molecular alterations. In contrast to classical biomarkers, which often only indicate later damage, urine proteomic signatures can detect early pathophysiological processes.


Proteomic tests have proven particularly helpful in the areas of kidney disease, heart failure, and cardiovascular risk, enabling early detection of risks even before clinical symptoms appear. These signatures reflect processes such as fibrosis, vascular remodeling, and endothelial dysfunction.


Furthermore, the method is gaining importance in precision medicine because it can predict individual therapy responses. Based on protein changes, potential therapy effects can be simulated, allowing for more targeted treatment selection.



Overall, the urine proteome is thus evolving not only into a diagnostic tool, but also into a basis for personalized therapy decisions:


An important development in urine proteomics is the identification of drug-specific peptide signatures. Studies show that therapies such as RAAS or SGLT2 inhibition cause measurable changes in the urine proteomic signature.


These changes make it possible to predict therapy response using computer-aided methods and to specifically simulate which treatment will most effectively improve the molecular disease state. This approach is currently being investigated, particularly in the context of chronic kidney and cardiovascular diseases, and is considered an important step towards precision medicine.

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