G3 Therapeutics and Aitia, the leader in the application of Causal AI and “Digital Twins” to discover and develop new drugs, today announced results of research that identified new causes of ASCAD.
ATLANTA and SOMERVILLE, Mass., Jan. 12, 2023 /PRNewswire/ -- G3 Therapeutics, a life sciences company that leverages large-scale multi-omic biological big data to develop life-changing therapeutics and diagnostics, and Aitia, the leader in the application of Causal AI and “Digital Twins” to discover and develop new drugs, today announced results of research that identified new causes of ASCAD. The results are found in the paper “Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development’, published in the journal Frontiers in Cardiovascular Medicine (https://doi.org/10.3389/fcvm.2022.960419) The analysis conducted by G3 Therapeutics, Aitia, and their team of scientific collaborators discovered that triglyceride-rich LDL particles appeared directly upstream from ASCAD in the Digital Twin models, suggesting causality of triglyceride-rich LDL particles. The role of the triglyceride-rich LDL particles was independent of the cholesterol content of LDL particles (independent of LDL-C) and the potential causality was further confirmed by genetic validation, based on the hepatic lipase gene (“LIPC”). The analysis also revealed that atherogenic lipoproteins, inflammation, and endothelial dysfunction are involved in ASCAD, lending additional credence to the novel findings. These findings imply that LDL-TG could be a novel diagnostic marker for ASCAD and could also open up potential novel treatment targets for atherosclerosis, focusing on triglyceride-rich LDL particles. “For decades, we have singularly focused on LDL-cholesterol as the sole treatment target in atherosclerotic coronary artery disease. Now, this new discovery of triglyceride-rich LDL particles opens a previously untapped set of opportunities to bring novel diagnostic and therapeutic approaches to our patients suffering from devastating cardiovascular disease. Our discovery demonstrates the power of the combination of biological big data and causal AI in bringing entirely novel treatments to our patients.”, said Szilard Voros, MD, CEO and founder of G3 Therapeutics. “This landmark result clearly demonstrates the power of causal AI and Digital Twins to reveal the hidden circuitry of cardiovascular disease from large-scale multi-omic data”, said Colin Hill, CEO and co-founder of Aitia. “70 years of cardiovascular biology including LDL, PCSK9, and Lp(a) were reconstructed in a hypothesis-free fashion in a few months, which created the opportunity to rapidly discover new drivers of atherosclerotic disease such as triglyceride-rich LDL that has eluded researchers for decades. A new era of AI-driven techbio discovery has begun.” About the G3LOBAL Database™ G3 Therapeutic’s G3LOBAL Database™ is derived from the GLOBAL clinical study (NCT01738828), an international prospective, multi-center study recruiting up to 10,000 patients to characterize novel disease networks and biomarkers. GLOBAL is the largest and most comprehensive pan-omic study combining whole genome sequencing, whole genome methylation, whole transcriptome sequencing, unbiased proteomics, metabolomics, lipidomics, and lipoprotein proteomics with coronary computed tomographic (CT) angiography, an advanced imaging technology for phenotyping, which allows the precise classification of disease in patients. About G3 Therapeutics For additional information, please visit www.g3therapeutics.com About Aitia For more information, please visit www.aitiabio.com Media Contacts: or Aitia
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