What is the relationship between plasma proteomics and heart failure risk?
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The studies present a multifaceted view of the relationship between plasma proteomics and the risk of heart failure (HF). Wang et al. (2023) indicates that patients with diabetes mellitus (DM), who are at increased risk for HF, exhibit higher plasma concentrations of proteins involved in inflammation and proteolysis. However, the treatment with spironolactone did not significantly alter the proteomic profile in these patients, suggesting that diabetes status does not influence the effects of spironolactone on proteomic markers (Wang et al., 2023).
Contrastingly, Gerson et al. (2010) and Verdonschot et al. (2021) identify specific plasma constituents—cis-palmitoleic acid and adiponectin, respectively—with associations to HF risk, albeit with differing risk profiles. Gerson et al. (2010) finds a positive association between cis-palmitoleic acid and HF risk, while Verdonschot et al. (2021) suggests a J-shaped association between adiponectin levels and HF risk, indicating a complex relationship (Gerson et al., 2010; Verdonschot et al., 2021). Chernyavina and Koziolova (2020), however, reports no causal role of genetically predicted plasma homocysteine levels in HF risk, which adds another layer of complexity to the understanding of plasma biomarkers and HF (Chernyavina & Koziolova, 2020).
In summary, the proteomic profile of plasma, including markers of inflammation and proteolysis, is associated with the risk of HF, particularly in patients with DM. Specific plasma constituents such as cis-palmitoleic acid and adiponectin are also associated with HF risk, although their exact roles and interactions require further investigation. The effects of spironolactone on proteomic markers appear to be independent of diabetes status. These findings underscore the potential of plasma proteomics in understanding and predicting HF risk, but also highlight the need for further research to unravel the intricate relationships between these biomarkers and HF (Chernyavina & Koziolova, 2020; Gerson et al., 2010; Verdonschot et al., 2021; Wang et al., 2023).
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