CVD-001: Hyperlipidemia (LPA)
Next-generation lipoprotein(a) lowering therapy with improved potency and safety profile
Program Overview
Scientific Rationale
The Lp(a) Problem: An Unmet Medical Need
Elevated lipoprotein(a) [Lp(a)] is a genetically determined, causal risk factor for atherosclerotic cardiovascular disease (ASCVD), aortic stenosis, and thrombosis. Unlike LDL cholesterol, Lp(a) levels are minimally responsive to diet or statins, leaving approximately 1.4 billion people worldwide (20% of the global population) with elevated levels and no approved treatment options. Individuals with Lp(a) >50 mg/dL face 2-4× increased risk of myocardial infarction and stroke.
The unique biology of Lp(a)—covalent linkage of apolipoprotein(a) to apoB-100—has complicated traditional drug development approaches. While injectable biologics are in development, the field lacks convenient oral therapies that could address this massive unmet need.
AI-Discovered Small Molecule Target
Our AI analyzed the complete Lp(a) biosynthesis and assembly pathway to identify druggable nodes amenable to small molecule intervention. Rather than targeting the well-characterized apolipoprotein(a) synthesis machinery, the system discovered a novel regulatory mechanism controlling Lp(a) particle assembly in hepatocytes.
This target represents a previously uncharacterized protein-protein interaction essential for the covalent attachment of apo(a) to LDL particles. Importantly, it is structurally distinct from factors involved in LDL metabolism, enabling selective Lp(a) reduction without affecting LDL cholesterol levels.
Oral Small Molecule with Favorable Properties
Using AI-guided structure-based drug design, we screened billions of virtual compounds to identify small molecules that selectively disrupt this protein-protein interaction. Our lead candidates demonstrate high oral bioavailability in computational ADMET models with predicted once-daily dosing.
Simulations in our digital patient platform across diverse LPA genotypes (including rare isoforms) predict robust Lp(a) lowering with favorable selectivity over related lipid pathways. An oral small molecule with these properties would represent a significant advance over injectable therapies, enabling broader patient access and improved adherence.
Recent Research Supporting This Approach
Lp(a) as an independent CVD risk factor
Large-scale genetic studies have definitively established elevated Lp(a) as a causal, genetically determined risk factor for atherosclerotic cardiovascular disease, independent of LDL cholesterol. The case for Lp(a)-lowering therapy is now stronger than ever (Nature Genetics, 2024; JAMA Cardiology, 2023).
Lp(a) assembly as a therapeutic target
Recent structural biology advances have elucidated the molecular mechanisms of Lp(a) particle assembly, revealing novel protein-protein interactions that could be targeted by small molecules. These findings open new avenues for oral Lp(a)-lowering therapies (Nature Structural Biology, 2024; Cell, 2023).
AI-guided drug discovery for protein-protein interactions
Machine learning approaches have successfully identified small molecule inhibitors of challenging protein-protein interactions, historically considered "undruggable." These advances enable targeting of novel mechanisms in lipid metabolism (Nature Biotechnology, 2024; Science, 2023).
Interested in Licensing CVD-001?
Contact us to discuss licensing opportunities and partnership terms
