Shah, Prediman K.

Lack of Toll-like receptor 4 or myeloid differentiation factor 88 reduces atherosclerosis and alters plaque phenotype in mice deficient in apolipoprotein E

Michelsen, K. S., Wong, M. H., Shah, P. K., Zhang, W., Yano, J., Doherty, T. M., Akira, S., Rajavashisth, T. B., & Arditi, M. (2004) · Proceedings of the National Academy of Sciences

Atherosclerosis and Cardiovascular DiseasesCholesterol and Lipid Metabolism

Cited by 1,019

Efficacy and safety of a microsomal triglyceride transfer protein inhibitor in patients with homozygous familial hypercholesterolaemia: a single-arm, open-label, phase 3 study

Cuchel, M., Meagher, E. A., du Toit Theron, H., Blom, D. J., Marais, A. D., Hegele, R. A., Averna, M. R., Sirtori, C. R., Shah, P. K., Gaudet, D., et al. (2013) · The Lancet

Lipoproteins and Cardiovascular HealthLipid metabolism and disorders

Cited by 744

Beyond Low-Density Lipoprotein Cholesterol

Arsenault, B. J., Rana, J. S., Stroes, E. S. G., Després, J.-P., Shah, P. K., Kastelein, J. J. P., Wareham, N. J., Boekholdt, S. M., & Khaw, K.-T. (2009) · Journal of the American College of Cardiology

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 342

ANGPTL3 inhibition in homozygous familial hypercholesterolemia

Gaudet, D., Gipe, D. A., Pordy, R., Ahmad, Z., Cuchel, M., Shah, P. K., Chyu, K.-Y., Sasiela, W. J., Chan, K.-C., Brisson, D., et al. (2017) · New England Journal of Medicine

Lipoproteins and Cardiovascular HealthLipid metabolism and disorders

Cited by 323

Deficiency of GATA3-Positive Macrophages Improves Cardiac Function Following Myocardial Infarction or Pressure Overload Hypertrophy

Yang, M., Song, L., Wang, L., Yukht, A., Ruther, H., Li, F., Qin, M., Ghiasi, H., Sharifi, B. G., & Shah, P. K. (2018) · Journal of the American College of Cardiology

Cardiac Fibrosis and RemodelingAtherosclerosis and Cardiovascular Diseases

Cited by 73

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

Naghavi, M., Reeves, A. P., Atlas, K., Zhang, C., Atlas, T., Henschke, C. I., Yankelevitz, D. F., Budoff, M. J., Li, D., Roy, S. K., et al. (2024) · npj Digital Medicine

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 45

Innate Immune Pathway Links Obesity to Insulin Resistance

Shah, P. K. (2007) · Circulation Research

Adipokines, Inflammation, and Metabolic DiseasesCardiovascular Disease and Adiposity

Cited by 31

Non‐HDL cholesterol vs. Apo B for risk of coronary heart disease in healthy individuals: the EPIC‐Norfolk prospective population study

Sondermeijer, B. M., Rana, J. S., Arsenault, B. J., Shah, P. K., Kastelein, J. J. P., Wareham, N. J., Boekholdt, S. M., & Khaw, K. (2013) · European Journal of Clinical Investigation

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 30

Agatston-2.0: A next-generation AI-based coronary calcium quantification approach to improve risk stratification among individuals with zero Agatston scores – Part I

Naghavi, M., Azimi, A., Atlas, K., Reeves, A. P., Zhang, C., Mirjalili, S. R., Mozafarybazargany, M., Jolfayi, A. G., Hashemi, A., Atlas, T., et al. (2026) · American Journal of Preventive Cardiology

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 2