Curated research and clinical perspectives for people serious about what the science actually supports.
LDL-C is the most commonly reported lipid marker. It is not the most clinically meaningful one. A growing body of cardiovascular evidence points to ApoB — the particle count, not the cholesterol content — as the number that actually predicts risk.
Wearing a CGM, optimising Zone 2 cardio, testing ApoB — these are the right instincts. But Medicine 3.0 is an execution problem, not an information problem. What it actually takes to move your biomarkers over a decade.
The test is only a third of the bill. The rest — expert interpretation, clinical integration, navigation, physician time, and data infrastructure — is invisible until you try to build it yourself.
The media narrative around GLP-1 compounds focuses on weight. The clinical story is far more nuanced — including effects on insulin sensitivity, inflammation, and cardiovascular function that exist independent of weight loss.
Carrying the APOE4 allele increases risk, but it is not destiny. Understanding what genetic risk actually means for your prevention strategy requires distinguishing between population statistics and individual probability.
Lipoprotein(a) is a genetically determined risk factor with stronger predictive power than LDL-C for early myocardial infarction. Yet it remains systematically unmeasured in routine cardiology practice across most health systems.
Traditional annual physicals rely on clinical symptoms and basic labs. By the time either appears abnormal, subclinical atherosclerosis is often far advanced. Early detection requires a different approach.
Continuous glucose monitors were designed for diabetes management. But for non-diabetics, CGM data exposes individual metabolic patterns — meal sensitivity, circadian variation, and insulin dynamics — that static labs cannot reveal.
Sleep tracking has become ubiquitous. But most people misinterpret the data. The deeper question — REM duration and fragmentation — correlates with both neurological and cardiovascular outcomes in ways that simple sleep duration cannot capture.