Recent studies have focused on the mechanisms underlying cardiovascular diseases, particularly myocardial infarction and atherosclerosis. One significant advancement is the introduction of high-sensitivity cardiac troponin I (hs-cTnI) assays, which have been shown to reclassify a substantial number of patients with myocardial injury. However, a study indicated that while these assays identify more patients with myocardial injury, they do not significantly reduce the incidence of subsequent myocardial infarction or cardiovascular death within a year (ref: Unknown doi.org/10.1038/s41591-023-02331-6/). Another study utilizing machine learning demonstrated that cardiac troponin concentrations, influenced by various factors, can improve the diagnosis of myocardial infarction, achieving an area under the curve of 0.953 and identifying a higher percentage of patients as low probability for myocardial infarction compared to fixed thresholds (ref: Doudesis doi.org/10.1038/s41591-023-02325-4/). Furthermore, research into the role of lipophagy in atherosclerosis suggests that enhancing this selective autophagy process could serve as a therapeutic target to mitigate lipid accumulation in atherogenic foam cells (ref: Laval doi.org/10.1038/s41569-023-00885-z/). The immunological aspects of atherosclerosis are also being explored, with a review advocating for a molecular classification of the disease to improve understanding and treatment (ref: Deroissart doi.org/10.1038/s41569-023-00888-w/). Overall, these studies highlight the complexity of cardiovascular disease mechanisms and the potential for innovative diagnostic and therapeutic strategies.