Estimation of LDL-associated apolipoprotein B from measurements of triglycerides and total apolipoprotein B
Abstract
Background: VLDL and chylomicrons may interfere with measurements of apolipoprotein B (apo B) on LDL particles. Ultracentrifugation of samples enriched in chylomicrons and VLDL and subsequent measurement of apo B in the infranate fraction [density (d) = 1.006] removes this interference. This apo B fraction is called “LDL–apo B.” Methods: We retrospectively analyzed 64 895 measurements of triglycerides, total apo B, and LDL–apo B. Samples were ultracentrifuged, and 3 commercially available immunoassays that use different antibodies were used to measure LDL–apo B in the 1.006 infranate fraction. Results: After adjusting for triglyceride concentration, we found total apo B and LDL–apo B measurements to be strongly correlated. We derived a simple linear equation for calculating LDL–apo B concentration (in milligrams per deciliter) from measurements of total apo B and triglycerides: LDL–apo B = apo B − 10 mg/dL − triglycerides/32. This equation accurately predicts LDL–apo B values within ±12% of the measured value in 75% of cases. Conclusions: Our equation provides a convenient means of estimating LDL–apo B from commonly available measurements of total apo B and triglycerides without the need for ultracentrifugation. LDL–apo B measurements were also independent of the different apo B antibodies in the 3 assays used in this study. An equation that predicts LDL–apo B particle number may be useful, regardless of the apo B assay used.
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Recent systematic studies comparing fasting and non-fasting samples suggest the difference is small for most lipid parameters.
“Recent systematic studies comparing fasting and non-fasting samples have suggested that the difference is small for most lipid parameters [85,94-100].”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [98]
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Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026 · see citing works
Brown, G., Albers, J. J., Fisher, L. D., Schaefer, S. M., Lin, J.-T., Kaplan, C., Zhao, X.-Q., Bisson, B. D., Fitzpatrick, V. F., & Dodge, H. T. (1990) · New England Journal of Medicine · doi:10.1056/nejm199011083231901 · Cited by 2,159 · see citing works
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 · see citing works
Haskell, W. L., Alderman, E. L., Fair, J. M., Maron, D. J., Mackey, S. F., Superko, H. R., Williams, P. T., Johnstone, I. M., Champagne, M. A., & Krauss, R. M. (1994) · Circulation · doi:10.1161/01.cir.89.3.975 · Cited by 884 · see citing works
Gotto, A. M., Whitney, E. J., Stein, E. A., Shapiro, D. R., Clearfield, M. B., Weis, S. E., Jou, J. Y., Langendörfer, A., Beere, P. A., Watson, D. J., et al. (2000) · Circulation · doi:10.1161/01.cir.101.5.477 · Cited by 562 · see citing works
Walldius, G., Jungner, I., Holme, I., AASTVEIT, A. H., Kolar, W., & Steiner, E. (2002) · ACC Current Journal Review · doi:10.1016/s1062-1458(02)00666-9 · Cited by 534 · see citing works
Marcovina, S. M., Albers, J. J., Henderson, L. O., & Hannon, W. H. (1993) · Clinical Chemistry · doi:10.1093/clinchem/39.5.773 · Cited by 342 · see citing works
Marcovina, S. M., Albers, J. J., Kennedy, H., Mei, J. V., Henderson, L. O., & Hannon, W. H. (1994) · Clinical Chemistry · doi:10.1093/clinchem/40.4.586 · Cited by 243 · see citing works
Contois, J. H., McNamara, J. R., Lammi‐Keefe, C. J., Wilson, P. W. F., Massov, T., & Schaefer, E. J. (1996) · Clinical Chemistry · doi:10.1093/clinchem/42.4.515 · Cited by 231 · see citing works
Marcovina, S. M., Albers, J. J., Dati, F., Ledue, T. B., & Ritchie, R. F. (1991) · Clinical Chemistry · doi:10.1093/clinchem/37.10.1676 · Cited by 228 · see citing works
International federation of clinical chemistry
Pannall, P. R., Marshall, W., Jabor, A., & Magid, E. (1996) · Clinica Chimica Acta · doi:10.1016/0009-8981(95)06205-x · Cited by 155 · see citing works
Jungner, I., Marcovina, S. M., Walldius, G., Holme, I., Kolar, W., & Steiner, E. (1998) · Clinical Chemistry · doi:10.1093/clinchem/44.8.1641 · Cited by 154 · see citing works
Albers, J. J., Marcovina, S. M., & Kennedy, H. (1992) · Clinical Chemistry · doi:10.1093/clinchem/38.5.658 · Cited by 103 · see citing works
Standardization of lipid and lipoprotein measurement
Gl, M. (1997) · Medical Entomology and Zoology · Cited by 67 · see citing works
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Research works printed but not linked: 1
- Haskell WL, Alderman EL, Fair JM, Superko HR, Maron DJ, Champagne MA, et al. Beneficial an- giographic and clinical response to multifactor modification in the Stanford Coronary Risk Inter- vention Project (SCRIP). Circulation 1994;89: 975-90.
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Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854 · see citing works
- Authors
- Baca, A. M., & Warnick, G. R.
- Affiliations
- Berkeley Heartlab, Inc., Alameda, CA
- Corresponding author
- Baca, Arthur M
- ORCID
- Warnick, G Russell
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-05-01
- Volume
- 54
- Issue
- 5
- Pages
- 907-910
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W1970313646
- Cited by
- 11
- References
- 14
- Citations by year
- 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2019: 2 · 2017: 1 · 2014: 1 · 2012: 1
- FWCI
- 0.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Keywords
- apolipoprotein B, triglycerides, LDL particle number, chylomicrons, ultracentrifugation, linear regression equations
- MeSH terms
- Algorithms, Apolipoproteins B, Humans, Immunoassay, Lipoproteins, LDL, Retrospective Studies, Triglycerides, Ultracentrifugation
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