Vupanorsen, an N-acetyl galactosamine-conjugated antisense drug to ANGPTL3 mRNA, lowers triglycerides and atherogenic lipoproteins in patients with diabetes, hepatic steatosis, and hypertriglyceridaemia
Open accessAbstract
Aims: Loss-of-function mutations in ANGPTL3 are associated with beneficial effects on lipid and glucose metabolism and reduced risk of coronary artery disease. Vupanorsen (AKCEA-ANGPTL3-L Rx ) is an N-acetyl galactosamine-conjugated antisense oligonucleotide targeted to the liver that selectively inhibits angiopoietin-like 3 (ANGPTL3) protein synthesis. Methods and results: This was a double-blind, placebo-controlled, dose-ranging, Phase 2 study. Patients (N =105) with fasting triglycerides >150 mg/dL (>1.7 mmol/L), type 2 diabetes, and hepatic steatosis were treated for 6 months with 40 or 80 mg every 4 weeks (Q4W), or 20 mg every week (QW) of vupanorsen, or placebo given subcutaneously. The primary efficacy endpoint was per cent change in fasting triglycerides from baseline at 6 months. Median baseline triglycerides were 2.84 mmol/L (252 mg/dL). Significant reductions in triglycerides of 36%, 53%, 47%, and in ANGPTL3 of 41%, 59%, 56%, were observed in the 40 mg Q4W, 80 mg Q4W, and 20 mg QW groups, respectively, compared with 16% reduction in triglycerides and 8% increase in ANGPTL3 in placebo. Compared with placebo, vupanorsen 80 mg Q4W reduced apolipoprotein C-III (58%), remnant cholesterol (38%), total cholesterol (19%), non-high-density lipoprotein cholesterol (HDL-C; 18%), HDL-C (24%), and apolipoprotein B (9%). There was no improvement in glycaemic parameters, or hepatic fat fraction. Treatment with vupanorsen was not associated with clinically significant changes in platelet counts, and the most common adverse events were those at the injection site, which were generally mild. Conclusion: Vupanorsen results in a favourable lipid/lipoprotein profile and provides a potential strategy for residual cardiovascular risk reduction.
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In a phase 2a trial in adults with diabetes, hypertriglyceridemia, and hepatic steatosis, total monthly doses of 40 or 80 mg of vupanorsen reduced non-HDL-C by up to 19%.
“In a phase 2a trial in adults with diabetes, hypertriglyceridemia, and hepatic steatosis, reductions in triglycerides up to 53% and in non-HDL-C up to 19% were seen with total monthly doses of 40 or 80 mg. 10”
From Effect of Vupanorsen on Non–High-Density Lipoprotein Cholesterol Levels in Statin-Treated Patients With Elevated Cholesterol: TRANSLATE-TIMI 70 (2022) · cites this paper as [10]
In a phase 2a trial in adults with diabetes, hypertriglyceridemia, and hepatic steatosis, total monthly doses of 40 or 80 mg of vupanorsen reduced triglycerides by up to 53%.
“In a phase 2a trial in adults with diabetes, hypertriglyceridemia, and hepatic steatosis, reductions in triglycerides up to 53% and in non-HDL-C up to 19% were seen with total monthly doses of 40 or 80 mg. 10”
From Effect of Vupanorsen on Non–High-Density Lipoprotein Cholesterol Levels in Statin-Treated Patients With Elevated Cholesterol: TRANSLATE-TIMI 70 (2022) · cites this paper as [10]
A significant increase in hepatic fat fraction was also seen in the 80 mg every 4 weeks dose arm in the phase 2a study of vupanorsen.
“although a significant increase in hepatic fat fraction was also seen in the 80 mg every 4 weeks dose arm in the phase 2a study of vupanorsen.10”
From Effect of Vupanorsen on Non–High-Density Lipoprotein Cholesterol Levels in Statin-Treated Patients With Elevated Cholesterol: TRANSLATE-TIMI 70 (2022) · cites this paper as [10]
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Cites
Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease
Sabatine, M. S., Giugliano, R. P., Keech, A. C., Honarpour, N., Wiviott, S. D., Murphy, S. A., Kuder, J. F., Wang, H., Liu, T., Wasserman, S. M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1615664 · Cited by 6,138 · cited 1× · see citing works
“Despite significant evidence that low-density lipoprotein cholesterol (LDL-C)-targeted therapies reduce cardiovascular (CV) events, residual CV risk remains high.(1,2) There is increasing evidence that this residual CV risk is in part related to increased levels of plasma triglycerides and remnant lipoproteins.”
BackgroundCardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia
Bhatt, D. L., Steg, P. G., Miller, M., Brinton, E. A., Jacobson, T. A., Ketchum, S. B., Doyle, R. T., Juliano, R. A., Jiao, L., Granowitz, C., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812792 · Cited by 3,317 · see citing works
Nordestgaard, B. G. (2016) · Circulation Research · doi:10.1161/circresaha.115.306249 · Cited by 1,116 · see citing works
Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease
Dewey, F. E., Gusarova, V., Dunbar, R. L., O’Dushlaine, C., Schurmann, C., Gottesman, O., McCarthy, S., Van Hout, C. V., Bruse, S., Dansky, H. M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1612790 · Cited by 885 · see citing works
Meta-analysis of cardiovascular outcomes trials comparing intensive versus moderate statin therapy
Cannon, C. P., Steinberg, B. A., Murphy, S. A., Mega, J. L., & Braunwald, E. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.04.070 · Cited by 770 · see citing works
Miller, M., Cannon, C. P., Murphy, S. A., Qin, J., Ray, K. K., & Braunwald, E. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2007.10.038 · Cited by 610 · see citing works
Cardiovascular and Metabolic Effects of <i>ANGPTL3</i> Antisense Oligonucleotides
Graham, M. J., Lee, R. G., Brandt, T. A., Tai, L.-J., Fu, W., Peralta, R., Yu, R., Hurh, E., Paz, E., McEvoy, B. W., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701329 · Cited by 573 · see citing works
Self-citationANGPTL3 deficiency and protection against coronary artery disease
Stitziel, N. O., Khera, A. V., Wang, X., Bierhals, A. J., Vourakis, A. C., Sperry, A. E., Natarajan, P., Klarin, D., Emdin, C. A., Zekavat, S. M., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.02.030 · Cited by 467 · see citing works
Ahmad, Z., Banerjee, P., Hamon, S., Chan, K., Bouzelmat, A., Sasiela, W. J., Pordy, R. C., Mellis, S. J., Dansky, H. M., Gipe, D. A., et al. (2019) · Circulation · doi:10.1161/circulationaha.118.039107 · Cited by 248 · see citing works
Angiopoietin-like 3 in lipoprotein metabolism
Kersten, S. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.119 · Cited by 220 · see citing works
Unmet Need for Adjunctive Dyslipidemia Therapy in Hypertriglyceridemia Management
Ganda, O. P., Bhatt, D. L., Mason, R. P., Miller, M., & Boden, W. E. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.04.061 · Cited by 195 · see citing works
Robciuc, M. R., Maranghi, M., Lahikainen, A., Rader, D. J., Bensadoun, A., Öörni, K., Metso, J., Minicocci, I., Ciociola, E., Ceci, F., et al. (2013) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.113.301397 · Cited by 176 · see citing works
Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study
Voight, B. F., Peloso, G. M., Orho-Melander, M., Frikke-Schmidt, R., Barbalic, M., Jensen, M. K., Hindy, G., Hólm, H., Ding, E. L., Johnson, T., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60312-2 · Cited by 148 · see citing works
Hepatic ANGPTL3 regulates adipose tissue energy homeostasis
Wang, Y., McNutt, M., Banfi, S., Levin, M. G., Holland, W. L., Gusarova, V., Gromada, J., Cohen, J. C., & Hobbs, H. H. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1515374112 · Cited by 136 · see citing works
Crooke, S. T., Baker, B. F., Xia, S., Yu, R. Z., Viney, N. J., Wang, Y., Tsimikas, S., & Geary, R. S. (2019) · Nucleic Acid Therapeutics · doi:10.1089/nat.2018.0753 · Cited by 127 · see citing works
Self-citationNichols, G. A., Philip, S., Reynolds, K., Granowitz, C. B., & Fazio, S. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-00470 · Cited by 102 · see citing works
Threshold Effects of Circulating Angiopoietin-Like 3 Levels on Plasma Lipoproteins
Fazio, S., Minnier, J., Shapiro, M. D., Tsimikas, S., Tarugi, P., Averna, M. R., Arca, M., & Tavori, H. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-4043 · Cited by 38 · see citing works
Self-citationBrandt, T. A., Lee, R. G., DIGENIO, A. G., Graham, M. G., Crooke, R. M., Hughes, S. G., Singleton, W., Witztum, J. L., & Tsimikas, S. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.04.115 · Cited by 13 · see citing works
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Ginsberg, H. N., Packard, C. J., Chapman, M. J., Borén, J., Aguilar-Salinas, C. A., Averna, M., Ference, B. A., Gaudet, D., Hegele, R. A., Kersten, S., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab551 · Cited by 979 · see citing works
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Crooke, S. T., Baker, B. F., Crooke, R. M., & Liang, X.-H. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00162-z · Cited by 775 · see citing works
Metabolism of triglyceride-rich lipoproteins in health and dyslipidaemia
Borén, J., Taskinen, M.-R., Björnson, E., & Packard, C. J. (2022) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00676-y · Cited by 315 · see citing works
Tardif, J.-C., Karwatowska-Prokopczuk, E., Amour, E. S., Ballantyne, C. M., Shapiro, M. D., Moriarty, P. M., Baum, S. J., Hurh, E., Bartlett, V. J., Kingsbury, J., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehab820 · Cited by 210 · see citing works
Self-citationBergmark, B. A., Marston, N. A., Bramson, C. R., Curto, M., Ramos, V., Jevne, A., Kuder, J. F., Park, J.-G., Murphy, S. A., Verma, S., et al. (2022) · Circulation · doi:10.1161/circulationaha.122.059266 · Cited by 216 · see citing works
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Tokgözoğlu, L., & Libby, P. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehab841 · Cited by 171 · see citing works
PNPLA3 as a therapeutic target for fatty liver disease: the evidence to date
Cherubini, A., Casirati, E., Tomasi, M., & Valenti, L. (2021) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2021.2018418 · Cited by 79 · see citing works
Triglyceride-Rich Lipoproteins and Remnant Cholesterol in Cardiovascular Disease
Heo, J. H., & Jo, S.-H. (2023) · Journal of Korean Medical Science · doi:10.3346/jkms.2023.38.e295 · Cited by 58 · see citing works
Mach, F., Visseren, F. L. J., Cater, N. B., Salhi, N., Soronen, J., Ray, K. K., Delgado, V., Jukema, J. W., Laufs, U., Zamorano, J.-L., et al. (2024) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2024.07.001 · Cited by 57 · see citing works
Pandey, M., Ojha, D., Bansal, S., Rode, A. B., & Chawla, G. (2021) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2021.101003 · Cited by 23 · see citing works
Hypertriglyceridemia: molecular and genetic landscapes
Scicchitano, P., Amati, F., Ciccone, M. M., D’Ascenzi, F., Imbalzano, E., Liga, R., Paolillo, S., Pastore, M. C., Rinaldi, A., Mattioli, A. V., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25126364 · Cited by 13 · see citing works
- Authors
- Gaudet, D., Karwatowska-Prokopczuk, E., Baum, S. J., Hurh, E., Kingsbury, J., Bartlett, V. J., Figueroa, A. L., Piscitelli, P., Singleton, W., Witztum, J. L., Geary, R. S., Tsimikas, S., O'Dea, L. S. L., & the Vupanorsen Study Investigators
- Affiliations
- Université de Montréal (CA)
- Akcea Therapeutics, Inc , Boston, MA, USA
- Excel Medical Clinical Trials, LLC , Boca Raton, FL, USA
- Ionis Pharmaceuticals (United States) (US)
- University of California San Diego (US)
- Corresponding author
- Gaudet, Daniel
- ORCID
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-08-29
- Volume
- 41
- Issue
- 40
- Pages
- 3936-3945
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- PMC
- PMC7750927
- OpenAlex
- W3082366829
- Cited by
- 279
- References
- 18
- Citations by year
- 2026: 30 · 2025: 35 · 2024: 40 · 2023: 49 · 2022: 51 · 2021: 66 · 2020: 8
- FWCI
- 26.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Heart Journal (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- Funders
- Ionis Pharmaceuticals, Inc
- Akcea Therapeutics, Inc.
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Keywords
- ANGPTL3, antisense oligonucleotides, hypertriglyceridemia, type 2 diabetes, hepatic steatosis, triglyceride lowering, atherogenic lipoproteins, apolipoprotein C-III, remnant cholesterol, apolipoprotein B, non-HDL cholesterol, HDL cholesterol, cardiovascular risk reduction, loss-of-function mutations
- MeSH terms
- Angiopoietin-like Proteins, Angiopoietin-Like Protein 3, Diabetes Mellitus, Type 2, Double-Blind Method, Pharmaceutical Preparations, Galactosamine, Humans, Lipoproteins, RNA, Messenger, Triglycerides, Hypertriglyceridemia
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