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Apolipoprotein B and Cardiovascular Disease Risk: Position Statement from the AACC Lipoproteins and Vascular Diseases Division Working Group on Best Practices
Open accessAbstract
Background: Low-density lipoprotein cholesterol (LDL-C) has been the cornerstone measurement for assessing cardiovascular risk for nearly 20 years. Content: Recent data demonstrate that apolipoprotein B (apo B) is a better measure of circulating LDL particle number (LDL-P) concentration and is a more reliable indicator of risk than LDL-C, and there is growing support for the idea that addition of apo B measurement to the routine lipid panel for assessing and monitoring patients at risk for cardiovascular disease (CVD) would enhance patient management. In this report, we review the studies of apo B and LDL-P reported to date, discuss potential advantages of their measurement over that of LDL-C, and present information related to standardization. Conclusions: In line with recently adopted Canadian guidelines, the addition of apo B represents a logical next step to National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) and other guidelines in the US. Considering that it has taken years to educate physicians and patients regarding the use of LDL-C, changing perceptions and practices will not be easy. Thus, it appears prudent to consider using apo B along with LDL-C to assess LDL-related risk for an interim period until the superiority of apo B is generally recognized.
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“ApoB can be measured in the nonfasting state because even at peak postprandial concentrations, the number of chylomicron-apoB48 particles in healthy individuals is usually < 1% and the number of VLDL-apoB100 particles is < 10% of the number of LDL-apoB100 particles [12].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“It is the structural protein for all non-HDL lipoproteins and exists as 2 isoforms: apoB100, the major isoform in VLDL, IDL, LDL, and Lp(a), and apoB48 in chylomicrons and chylomicron remnants [12].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Taken together with the evidence that apoB can be measured more accurately, more precisely, and more selectively than LDL-C or non-HDL-C,1,29–31”
From Discordance among apoB, non-high-density lipoprotein cholesterol, and triglycerides: implications for cardiovascular prevention (2024) · cites this paper as [30]
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“Measurement of apolipoprotein B (apoB), the major protein component of LDL, or advanced measurement of LDLP (not yet widely available) can also be used to assess the number of LDL particles [10,12].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [12]
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“ApoB can be measured in the nonfasting state because even at peak postprandial concentrations, the number of chylomicron-apoB48 particles in healthy individuals is usually < 1% and the number of VLDL-apoB100 particles is < 10% of the number of LDL-apoB100 particles [12].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [12]
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“Since each atherogenic particle contains one molecule of apoB, concentrations of apoB are therefore considered to be a direct measure of the total number of lipoproteins causing cardiovascular disease, that is, LDL, remnants, and Lp(a) [12].”
From Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM (2020) · cites this paper as [12]
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Citations
Cites
Low-Density Lipoprotein Subclass Patterns and Risk of Myocardial Infarction
Austin, M. A. (1988) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1988.03410130125037 · Cited by 1,780
Newly identified loci that influence lipid concentrations and risk of coronary artery disease
Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., Heath, S. C., Timpson, N. J., Najjar, S. S., Stringham, H. M., et al. (2008) · Nature Genetics · doi:10.1038/ng.76 · Cited by 1,585
Tabas, I., Williams, K. J., & Borén, J. (2007) · Circulation · doi:10.1161/circulationaha.106.676890 · Cited by 1,399
Cholesterol in the Prediction of Atherosclerotic Disease
Kannel, W. B., Castelli, W. P., & Gordon, T. (1979) · Annals of Internal Medicine · doi:10.7326/0003-4819-90-1-85 · Cited by 1,314
Walldius, G., Jungner, I., Holme, I., AASTVEIT, A. H., Kolar, W., & Steiner, E. (2001) · The Lancet · doi:10.1016/s0140-6736(01)07098-2 · Cited by 1,227
A prospective study of cholesterol, apolipoproteins, and the risk of myocardial infarction.
Stampfer, M. J., Sacks, F. M., Salvini, S., Willett, W. C., & Hennekens, C. H. (1991) · New England Journal of Medicine · doi:10.1056/nejm199108083250601 · Cited by 1,163
Sharrett, A. R., Ballantyne, C. M., Coady, S., HEISS, G. M., Sorlie, P. D., Catellier, D., & Patsch, W. (2001) · Circulation · doi:10.1161/hc3501.095214 · Cited by 942
Ridker, P. M., Rifai, N., Cook, N. R., Bradwin, G., & Buring, J. E. (2005) · JAMA · doi:10.1001/jama.294.3.326 · Cited by 744
Lipoprotein Particle Analysis by Nuclear Magnetic Resonance Spectroscopy
Jeyarajah, E. J., Cromwell, W. C., & Otvos, J. D. (2006) · Clinics in Laboratory Medicine · doi:10.1016/j.cll.2006.07.006 · Cited by 734
Lipoprotein Management in Patients With Cardiometabolic Risk
Brunzell, J. D., Davidson, M. H., Furberg, C. D., Goldberg, R. B., Howard, B. V., Stein, J. H., & Witztum, J. L. (2008) · Diabetes Care · doi:10.2337/dc08-9018 · Cited by 716
Research works printed but not linked: 4
- 2003, JAMC, 169, 921
- 2002, Textbook of cardiovascular medicine, 2nd ed, 2
- 2007, Circulation, 116, 3481
- 2001, Clin Chem Lab Med, 39, 426
Cited by
Sorted by citations
Items 201–300 of 325
Bilgic, S., & Sniderman, A. D. (2023) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000001100 · Cited by 9
Wilkins, J. T., Ning, H., Sniderman, A. D., Stone, N. J., Otvos, J. D., Jacobs, D. R., Shah, R. V., Murthy, V. L., Rana, J. S., Allen, N. B., et al. (2022) · Journal of Lipid Research · doi:10.1016/j.jlr.2022.100299 · Cited by 9
Wolin, E., White, J., Pottala, J. V., Sasinowski, M., Dall, T., Dayspring, T. D., McConnell, J. P., Hoefner, D. M., Varvel, S. A., Thiselton, D. L., et al. (2015) · Journal of clinical lipidology · doi:10.1016/j.jacl.2015.07.014 · Cited by 9
Self-citationBaruch, L., Chiong, V. J., Agarwal, S., & Gupta, B. P. (2013) · Cholesterol · doi:10.1155/2013/502948 · Cited by 9
Evaluation of dyslipidaemia in patients with rheumatoid arthritis in South Indian population
Vinapamula, K. S., Manohar, S. M., Bitla, A. R. R., Kanduri, R., Bhattaram, S. K., & Narasimha, S. R. P. V. L. (2013) · Indian Journal of Rheumatology · doi:10.1016/j.injr.2013.06.006 · Cited by 9
Bell, D. A., Hooper, A. J., Robert, B., Edwards, G., BOCKXMEER, F. M. V., Watts, G. F., & Burnett, J. R. (2011) · Pathology · doi:10.1097/pat.0b013e32834f90fe · Cited by 9
Effects of diet on genetic regulation of lipoprotein metabolism in baboons
Rainwater, D. L., VandeBerg, J. L., & Mahaney, M. C. (2010) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2010.08.079 · Cited by 9
Friedrich, M. E., & Goluch, Z. (2017) · PubMed · Cited by 9
Potential of PCSK9 as a new target for the management of LDL cholesterol
Mombelli, G. G., Pavanello, C., & Castelnuovo, S. (2015) · Research Reports in Clinical Cardiology · doi:10.2147/rrcc.s52961 · Cited by 8
Donato, L. J., & Meeusen, J. W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815499-1.00028-4 · Cited by 8
Kee, Z., Ong, S. M., Heng, C., & Ooi, D. S. Q. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-021-02160-5 · Cited by 8
Ganda, O. P., Jumes, C. G., Abrahamson, M. J., & Molla, M. (2012) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.02.013 · Cited by 8
Ye, M., Liu, Y., Wang, H., Tian, N., Li, W., He, W. W., Lin, H., Fan, R., Li, C., Liu, D., et al. (2017) · International Urology and Nephrology · doi:10.1007/s11255-017-1737-1 · Cited by 8
Sun, C., Brisson, D., Gaudet, D., & Ooi, T. C. (2020) · Journal of clinical lipidology · doi:10.1016/j.jacl.2020.09.006 · Cited by 9
Intra-population differences of apolipoproteins in the aqueous humor
Patel, P. A., Lee, T. J., Kodeboyina, S. K., Jones, G., Bollinger, K. E., Ulrich, L., Bogorad, D. D., Estes, A. J., Zhi, W., Sharma, S., et al. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01555-0 · Cited by 8
Walldius, G. (2010) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02286.x · Cited by 8
Kc, S., Rhee, E., Kim, H., Park, J. B., Kim, Y.-K., Woo, S., & Wilson, A. M. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.01.001 · Cited by 7
Kenkre, J. S., Mazaheri, T., Neely, R. D. G., Soran, H., Datta, D. B. N., Penson, P. E., Downie, P., Yates, A. M., Hayden, K., Patel, M., et al. (2025) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/00045632251315303 · Cited by 8
Apolipoprotein B Gene Polymorphisms and Dyslipidemia in HIV Infected Adult Zimbabweans
Kodogo, V., Zhou, D. T., Oektedalen, O., Duri, K., Stray‐Pedersen, B., & Gomo, E. (2016) · The Open AIDS Journal · doi:10.2174/1874613601610010190 · Cited by 7
Jain, R. B., & DUCATMAN, A. M. (2020) · Environmental Science and Pollution Research · doi:10.1007/s11356-020-11593-3 · Cited by 7
Novel molecular plasma signatures on cardiovascular disease can stratify patients throughout life
Corbacho-Alonso, N., Martin, M. B., López, J. A., Rodríguez‐Sánchez, E., Martínez, P. J., Mouriño-Álvarez, L., Martín-Rojas, T., Sastre-Oliva, T., Madruga, F., Vázquez, J., et al. (2020) · Journal of Proteomics · doi:10.1016/j.jprot.2020.103816 · Cited by 7
Hartz, J. C., Krauss, R. M., Gottsäter, M., Melander, O., Nilsson, P. M., & Mietus‐Snyder, M. (2020) · International Journal of Vascular Medicine · doi:10.1155/2020/4219180 · Cited by 7
Optimum lipid testing for diabetic patients to enhance clinical care
Devaraj, S., & Jialal, I. (2021) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2021.02.004 · Cited by 7
Self-citationKim, J., An, J., Lee, H., Kim, K., Lee, S. J., Choi, H. R., Kwon, J., Lee, T.-B., Song, Y., & Kong, H. (2018) · Nutrients · doi:10.3390/nu10121846 · Cited by 7
Apolipoprotein Particle and Cardiovascular Risk Prediction (from a Prospective Cohort Study)
Su, X., Wang, M., Zuo, Y., Wen, J. A., Zhai, Q., Zhang, Y., Zhang, X., Li, Y., & He, Y. (2023) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2023.05.052 · Cited by 7
Zhang, K., Wei, C., Shao, Y., Li, W., Zhao, Z., Song, Y., Tang, X., Li, Y., & Gou, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e28155 · Cited by 7
Sniderman, A. D., Tremblay, A. J., Graaf, J. D., & Couture, P. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.03.012 · Cited by 6
Vanavanan, S., Srisawasdi, P., Rochanawutanon, M., Kerdmongkol, J., & Kroll, M. H. (2014) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2014-0396 · Cited by 6
Up-To-Date View on the Clinical Manifestations and Complications of Chronic Pancreatitis
Kovacheva-Slavova, M. D., Getsov, P. G., Vladimirov, G. B., & Vladimirov, B. G. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.84738 · Cited by 6
Vine, D. F., Proctor, E., Weaver, O. R., Ghosh, M., Maximova, K., & Proctor, S. D. (2021) · Journal of the Endocrine Society · doi:10.1210/jendso/bvab114 · Cited by 10
Dayspring, T. D., Dall, & Abuhajir (2010) · Research Reports in Clinical Cardiology · doi:10.2147/rrcc.s14825 · Cited by 6
Langlois, M. R., & Briers, P.-J. (2021) · Biochemia Medica · doi:10.11613/bm.2022.010704 · Cited by 11
Effects of ABCG1 knockout on proteomic composition of HDL in mice on a chow diet and a high‐fat diet
Wu, Y., Chen, L., Xie, Z., Wang, C., Zhang, J., & Yan, X. (2022) · PROTEOMICS · doi:10.1002/pmic.202100028 · Cited by 5
Vaverková, H. (2011) · Clinical Lipidology · doi:10.2217/clp.10.75 · Cited by 5
Devries, S. R. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-1793-8.00025-x · Cited by 5
Genedy, N., & Zouwail, S. (2025) · Journal of clinical lipidology · doi:10.1016/j.jacl.2025.11.008 · Cited by 4
Why Metrological Traceability Matters in Medical Laboratory Diagnostics
Lantman, M. V. S., Cobbaert, C., Panteghini, M., van Berkel, M. E. A. T., Smeets, R. L., van Hellemond, J. J., & Thelen, M. (2025) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfaf203 · Cited by 4
Boronat, M., García-Cantón, C., López-Ríos, L., Quevedo, V., Lorenzo-Villegas, D. L., Batista, F., Riaño, M., & Novoa, F. J. (2013) · Diabetes and Vascular Disease Research · doi:10.1177/1479164113511834 · Cited by 4
Kanda, D., Miyata, M., Ikeda, Y., Tokushige, A., Sonoda, T., Arikawa, R., Anzaki, K., Kosedo, I., Yoshino, S., Takumi, T., et al. (2021) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.62908 · Cited by 4
Relationship between plasma apolipoprotein B concentrations and LDL particle number
Pourfarzib, R., Morris, P. B., McLain, K. H., Malave, H. A., Underberg, J. A., Le, N., Shapiro, M., & Winegar, D. A. (2014) · Research Reports in Clinical Cardiology · doi:10.2147/rrcc.s65976 · Cited by 4
Lipoprotein Profiling Methodology Based on Determination of Apolipoprotein Concentration
Takeda, H., Izumi, Y., Tomita, A., Koike, T., Shiomi, M., Fukusaki, E., Matsuda, F., & Bamba, T. (2016) · Bioanalysis · doi:10.4155/bio-2016-0234 · Cited by 4
DYSLIPIDEMIAS AND THEIR ASSOCIATION WITH CHRONIC NON-INFECTIOUS DISEASES (MERIDIAN-RO STUDY)
Филиппов, Е. В., Yаkushin, S. S., & Petrov, V. S. (2017) · The Clinician · doi:10.17650/1818-8338-2016-10-3-32-40 · Cited by 4
Inflammatory joint diseases and atherosclerosis: time to look beyond the ‘lipid paradox’
Mackey, R. H., Kuller, L. H., & Moreland, L. W. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000620 · Cited by 4
Amer, N. N., & Shaaban, G. (2019) · Laboratory Medicine · doi:10.1093/labmed/lmz043 · Cited by 4
Emerging Therapies for Residual Risk
Mehra, S., Movahed, H., & Movahed, A. (2012) · Reviews in Cardiovascular Medicine · doi:10.3909/ricm0583 · Cited by 3
Aterosclerosis: biomarcadores plasmáticos emergentes
Benozzi, S. F., & Coniglio, R. I. (2010) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 3
Goluch, Z., Okruszek, A., Sierżant, K., & Wierzbicka, A. (2023) · Agriculture · doi:10.3390/agriculture13040753 · Cited by 3
Suokhrie, S., Chaudhary, V., Mishra, S. K., Murry, B., & Devi, N. K. (2023) · Egyptian Journal of Medical Human Genetics · doi:10.1186/s43042-023-00432-y · Cited by 3
Zhang, G., Goyal, H., Zhang, G.-M., Ma, X., & Zhou, Y. (2017) · Oncotarget · doi:10.18632/oncotarget.23759 · Cited by 3
Liu, Y., Wu, X., Nie, S., Zhou, S., Xiao, S., Gao, X., Lin, Z., Sun, J., & Huang, Y. (2020) · Journal of Molecular Neuroscience · doi:10.1007/s12031-020-01508-9 · Cited by 3
Lipoprotein Subclasses and Cardiovascular Disease Risk in Insulin-Resistant Diabetes
Cobble, M. E., Mize, P. D., & Brinton, E. A. (2013) · Contemporary diabetes · doi:10.1007/978-1-4614-7554-5_2 · Cited by 3
Siniawski, D. A., Masson, W. M., Sorroche, P. B., Casañas, L., & Krauss, J. G. (2011) · Dialnet (Universidad de la Rioja) · doi:10.7775/rac.79.1.554 · Cited by 3
Vaverková, H., Farnier, M., Averna, M. R., Missault, L. H., Viigimaa, M., Dong, Q., Shah, A. K., Johnson‐Levonas, A. O., & Brudi, P. (2011) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2011.02.008 · Cited by 3
Influence of vinpocetine on warfarin-induced inhibition of coagulation.
Hitzenberger, G., Sommer, W., & Grandt, R. (1990) · PubMed · Cited by 3
Devries, S. R. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-35868-2.00026-8 · Cited by 3
Elliott, J., Bodinier, B., Whitaker, M. D., Tzoulaki, I., Elliott, P., & Chadeau‐Hyam, M. (2023) · medRxiv · doi:10.1101/2023.01.09.23284368 · Cited by 3
Agoons, D. D., & Agoons, B. B. (2025) · Cureus · doi:10.7759/cureus.85656 · Cited by 2
Kroner, G., Yuzyuk, T. N., Zuromski, L. M., & Johnson, L. M. (2021) · Clinica Chimica Acta · doi:10.1016/j.cca.2021.03.004 · Cited by 2
SmartLab 2.0 in cardiovascular prevention of atherogenic dyslipidemia
Toribio, R. G., Velilla, T. A., Porillo, C. M., Rico, M. Á., Quesada, M. M., & León‐Justel, A. (2023) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2023.05.009 · Cited by 2
Thompson, S. M., Varvel, S. A., Vörös, S., Thiselton, D. L., Grami, S., Turner, R. M., & Barron, J. O. (2013) · Population Health Management · doi:10.1089/pop.2013.0030 · Cited by 2
Pediatric dyslipidemias: lipoprotein metabolism disorders in children
Ballout, R. A., & Remaley, A. T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-817962-8.00002-0 · Cited by 3
Yi, X., Wu, P., Gong, Y., Liu, J., Xiong, J., Che, X., & Xu, X. (2022) · Folia Histochemica et Cytobiologica · doi:10.5603/fhc.a2022.0009 · Cited by 2
Aloe QDM complex enhances specific cytotoxic T lymphocyte killing in vivo in metabolic disease mice
Lee, Y. J., Kim, J., An, J., Lee, H., Kong, H., Song, Y., Shin, E., Do, S., Lee, C., & Kim, K. (2016) · Bioscience Biotechnology and Biochemistry · doi:10.1080/09168451.2016.1258986 · Cited by 2
Association between apolipoprotein B and dietary fibers
Gunawan, A. D., Bardosono, S., & Mudjihartini, N. (2021) · World Nutrition Journal · doi:10.25220/wnj.v04.i2.0010 · Cited by 2
A practical approach to lipid management in the elderly
Viljoen, A. (2011) · The journal of nutrition health & aging · doi:10.1007/s12603-011-0014-8 · Cited by 2
Cardiovascular Risk Assessment among Postmenopausal Women: A ReviewPreprint
Barua, L., Faruque, M., Banik, P. C., & Ali, L. (2018) · Preprints.org · doi:10.20944/preprints201806.0135.v1 · Cited by 2
Tao, Y., Yao, C.-L., Liu, R., Qiu, H., Liu, X., Wang, B., & Li, H. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1737713 · Cited by 1
A narrative review of impacts of apolipoproteins on atherosclerotic coronary plaques
Fukase, T., & Dohi, T. (2026) · npj Cardiovascular Health · doi:10.1038/s44325-026-00104-x · Cited by 2
Dall, T., & Pourfarzib (2011) · Research Reports in Clinical Cardiology · doi:10.2147/rrcc.s17803 · Cited by 1
Laboratory Diagnostics of Dyslipidemia : From Cholesterol to Apolipoproteins
Leiviskä, J. (2013) · STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) · Cited by 1
Mohammadi, A., & Azizi, H. (2015) · International Journal of Medical Laboratory · Cited by 1
Using the VAP lipid panel for the detection, evaluation, and treatment of patients “at risk” for CAD
French, K., Wang, Y., Jia, J., & Zhang, Y. (2017) · Frontiers in Laboratory Medicine · doi:10.1016/j.flm.2017.11.001 · Cited by 1
Clinical significance of fasting and postprandial lipemia in obese and non-obese subjects
Baqi, M., & Alnaqishbandi, A. (2018) · Zanco Journal of Medical Sciences · doi:10.15218/zjms.2018.014 · Cited by 1
Ersonified diagnostic and correction dyslipidemia approach by profiling of apolipoproteins
Kachkovsky, M. A., Vvedenskaya, I. P., Vvedensky, V. Y., Supilnikov, A. A., Ponomareva, J. V., & Milyakova, M. N. (2020) · Bulletin of the Medical Institute REAVIZ (REHABILITATION DOCTOR AND HEALTH) · doi:10.20340/vmi-rvz.2020.4.11 · Cited by 1
Yan, M., Huang, Y., Liu, X., Chen, C., Zhou, D., Huang, Y., & Feng, Y. (2023) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2023.07.012 · Cited by 1
Chen, S., Zhao, J., Hu, J., & Guo, Z. (2017) · Europe PMC (PubMed Central) · doi:10.3969/j.issn.1673-4254.2017.07.15 · Cited by 1
Mohammed, G., Ayad, W., Elgazzar, U. B., & Eid, S. (2020) · International Journal of Medical Arts · doi:10.21608/ijma.2020.23839.1101 · Cited by 1
Integrating Advanced Lipid Testing and Biomarkers in Assessment and Treatment
Sykes, A. V., Patel, N., Lee, D. H., & Taub, P. R. (2022) · Current Cardiology Reports · doi:10.1007/s11886-022-01775-5 · Cited by 2
Approche de la stratification du risque de maladies cardiovasculaires athéroscléreuses
Esau, D., & Abramson, B. L. (2022) · Canadian Family Physician · doi:10.46747/cfp.6809e256
Lipid Parameters and Cardiovascular Events in Patients Taking Statins
Martin, S. S., & Jones, S. R. (2012) · JAMA · doi:10.1001/jama.2012.6614 · Cited by 1
Images, lipoproteins, drugs, and atherothrombotic events
Dayspring, T. D. (2009) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e3181a4af17 · Cited by 1
Wang, Y. (2014) · Figshare · Cited by 1
Update on Lipids and Lipoproteins
Jialal, I., & Devaraj, S. (2021) · JAMA · doi:10.1001/jama.2020.22621 · Cited by 1
Self-citationPhD, S. A. M., PhD, P. É. M., Töreki, E., Ifju, M., Barta, B. A., Szécsi, B., Losoncz, E., Dohy, Z., Barabás, J. I., Kosztin, A., et al. (2023) · Preprints.org · doi:10.20944/preprints202310.1359.v1 · Cited by 1
Study on the use of AFM to make traceable measurements of lipoproteins size distribution
Demichelis, A., Divieto, C., Mortati, L., Sassi, M., & Sassi, G. (2015) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2015.7145278
Dayspring, T. D. (2013) · Contemporary diabetes · doi:10.1007/978-1-4614-7554-5_4
Towards companion diagnostics for the management of statin therapy
Viljoen, A., & Wierzbicki, A. S. (2009) · Expert Opinion on Medical Diagnostics · doi:10.1517/17530050903222254
Gerique, J. A. G., Gómez, B. A. L., Salán, M. E., Romero, F. F., Puzo, J., & Doreste, J. Á. A. (2012) · Revista del Laboratorio Clínico · doi:10.1016/j.labcli.2011.06.003
Lipid Parameters and Cardiovascular Events in Patients Taking Statins—Reply
Boekholdt, S. M., & Kastelein, J. J. P. (2012) · JAMA · doi:10.1001/jama.2012.6632
Sun, H. (2012) · Digital Commons-TMC (Texas Medical Center)
Liposcale: A novel advanced lipoprotein test based on 2D diffusion-ordered 1H NMR spectroscopy
Mallol, R., Amigó, N., Rodriguez, M. A., Heras, M., Vinaixa, M., Plana, N., Ribalta, J., Yanes, Ó., Masana, L., & Correig, X. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.04.137
Mohammed, N., Janyavula, R., Raju, B., Baba, S., & Medial, M. (2014) · International Journal of Pharma and Bio Sciences
Hadisiswoyo, P., Soehita, S., & Anniwati, L. (2014) · Folia Medica Indonesiana
Lans, D. (2013) · D-Scholarship@Pitt (University of Pittsburgh)
Koba, S., Yokota, Y., Ito, Y., Hirano, T., & McConnell, J. P. (2009)
Self-citationMeasurement of Lipoproteins: Upping the Game in Characterizing the Lipid Phenotype
Collinson, P. O. (2016) · The Journal of Applied Laboratory Medicine · doi:10.1373/jalm.2016.021279
From the NLA President: Making the right connections
Bittner, V. (2010)
Low-Density Lipoprotein Measurement Discordance
Intwala, S., Stone, N. J., & Balady, G. J. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2017.0256
Metadata
- Authors
- Contois, J. H., McConnell, J. P., Sethi, A. A., Csako, G., Devaraj, S., Hoefner, D. M., & Warnick, G. R.
- Affiliations
- Maine Standards Company, Windham, ME
- Mayo Clinic (US)
- National Institutes of Health (US)
- National Institutes of Health, Bethesda, MD
- University of California Davis Medical Center (US)
- Marshfield Clinic (US)
- Berkeley HeartLab Inc, Alameda, CA
- Corresponding author
- Contois, John H
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-03-01
- Volume
- 55
- Issue
- 3
- Pages
- 407-419
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2107424758
- Cited by
- 326
- References
- 97
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 7 · 2023: 16 · 2022: 12 · 2021: 24 · 2020: 25 · 2019: 16 · 2018: 22 · 2017: 17 · 2016: 14 · 2015: 16 · 2014: 28 · 2013: 25 · 2012: 24
- FWCI
- 29.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NIH
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Cholesterol and Lipid Metabolism
- Keywords
- apolipoprotein B, LDL particle number, LDL cholesterol, cardiovascular risk, lipid profile, Canadian guidelines, cardiovascular risk assessment
- MeSH terms
- Apolipoproteins B, Cardiovascular Diseases, Humans, Risk Factors, Clinical Chemistry Tests
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