Cargando…

Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol

Dysbetalipoproteinemia (hyperlipoproteinemia type III, HLP3) is a genetic disorder that results in the accumulation of cholesterol on highly atherogenic remnant particles. Traditionally, the diagnosis of HLP3 depended upon lipoprotein gel electrophoresis or density gradient ultracentrifugation. Beca...

Descripción completa

Detalles Bibliográficos
Autores principales: Sampson, Maureen, Wolska, Anna, Meeusen, Jeff W., Donato, Leslie J., Jaffe, Allan S., Remaley, Alan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329831/
https://www.ncbi.nlm.nih.gov/pubmed/35910208
http://dx.doi.org/10.3389/fgene.2022.935257
_version_ 1784758011089125376
author Sampson, Maureen
Wolska, Anna
Meeusen, Jeff W.
Donato, Leslie J.
Jaffe, Allan S.
Remaley, Alan T.
author_facet Sampson, Maureen
Wolska, Anna
Meeusen, Jeff W.
Donato, Leslie J.
Jaffe, Allan S.
Remaley, Alan T.
author_sort Sampson, Maureen
collection PubMed
description Dysbetalipoproteinemia (hyperlipoproteinemia type III, HLP3) is a genetic disorder that results in the accumulation of cholesterol on highly atherogenic remnant particles. Traditionally, the diagnosis of HLP3 depended upon lipoprotein gel electrophoresis or density gradient ultracentrifugation. Because these two methods are not performed by most clinical laboratories, we describe here two new equations for estimating the cholesterol content of VLDL (VLDL-C), which can then be used for the diagnosis of HLP3. Using results from the beta-quantification (BQ) reference method on a large cohort of dyslipidemic patients (N = 24,713), we identified 115 patients with HLP3 based on having a VLDL-C to plasma TG ratio greater than 0.3 and plasma TG between 150 and 1,000 mg/dl. Next, we developed two new methods for identifying HLP3 and compared them to BQ and a previously described dual lipid apoB ratio method. The first method uses results from the standard lipid panel and the Sampson-NIH equation 1 for estimating VLDL-C ( S -VLDL-C), which is then divided by plasma TG to calculate the VLDL-C/TG ratio. The second method is similar, but the Sampson-NIH equation 1 is modified or enhanced ( eS -VLDL-C) by including apoB as an independent variable for predicting VLDL-C. At a cut-point of 0.194, the first method showed a modest ability for identifying HLP3 (sensitivity = 73.9%; specificity = 82.6%; and area under the curve (AUC) = 0.8685) but was comparable to the existing dual lipid apoB ratio method. The second method based on eS -VLDL-C showed much better sensitivity (96.5%) and specificity (94.5%) at a cut-point of 0.209. It also had an excellent AUC score of 0.9912 and was superior to the two other methods in test classification. In summary, we describe two new methods for the diagnosis of HLP3. The first one just utilizes the results of the standard lipid panel and the Sampson-NIH equation 1 for estimating (VLDL-C) ( S -VLDL-C) and can potentially be used as a screening test. The second method ( eS -VLDL-C), in which the Sampson-NIH equation 1 is modified to include apoB, is nearly as accurate as the BQ reference method. Because apoB is widely available at most clinical laboratories, the second method should improve both the accessibility and the accuracy of the HLP3 diagnosis.
format Online
Article
Text
id pubmed-9329831
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93298312022-07-29 Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol Sampson, Maureen Wolska, Anna Meeusen, Jeff W. Donato, Leslie J. Jaffe, Allan S. Remaley, Alan T. Front Genet Genetics Dysbetalipoproteinemia (hyperlipoproteinemia type III, HLP3) is a genetic disorder that results in the accumulation of cholesterol on highly atherogenic remnant particles. Traditionally, the diagnosis of HLP3 depended upon lipoprotein gel electrophoresis or density gradient ultracentrifugation. Because these two methods are not performed by most clinical laboratories, we describe here two new equations for estimating the cholesterol content of VLDL (VLDL-C), which can then be used for the diagnosis of HLP3. Using results from the beta-quantification (BQ) reference method on a large cohort of dyslipidemic patients (N = 24,713), we identified 115 patients with HLP3 based on having a VLDL-C to plasma TG ratio greater than 0.3 and plasma TG between 150 and 1,000 mg/dl. Next, we developed two new methods for identifying HLP3 and compared them to BQ and a previously described dual lipid apoB ratio method. The first method uses results from the standard lipid panel and the Sampson-NIH equation 1 for estimating VLDL-C ( S -VLDL-C), which is then divided by plasma TG to calculate the VLDL-C/TG ratio. The second method is similar, but the Sampson-NIH equation 1 is modified or enhanced ( eS -VLDL-C) by including apoB as an independent variable for predicting VLDL-C. At a cut-point of 0.194, the first method showed a modest ability for identifying HLP3 (sensitivity = 73.9%; specificity = 82.6%; and area under the curve (AUC) = 0.8685) but was comparable to the existing dual lipid apoB ratio method. The second method based on eS -VLDL-C showed much better sensitivity (96.5%) and specificity (94.5%) at a cut-point of 0.209. It also had an excellent AUC score of 0.9912 and was superior to the two other methods in test classification. In summary, we describe two new methods for the diagnosis of HLP3. The first one just utilizes the results of the standard lipid panel and the Sampson-NIH equation 1 for estimating (VLDL-C) ( S -VLDL-C) and can potentially be used as a screening test. The second method ( eS -VLDL-C), in which the Sampson-NIH equation 1 is modified to include apoB, is nearly as accurate as the BQ reference method. Because apoB is widely available at most clinical laboratories, the second method should improve both the accessibility and the accuracy of the HLP3 diagnosis. Frontiers Media S.A. 2022-07-14 /pmc/articles/PMC9329831/ /pubmed/35910208 http://dx.doi.org/10.3389/fgene.2022.935257 Text en Copyright © 2022 Sampson, Wolska, Meeusen, Donato, Jaffe and Remaley. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Sampson, Maureen
Wolska, Anna
Meeusen, Jeff W.
Donato, Leslie J.
Jaffe, Allan S.
Remaley, Alan T.
Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title_full Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title_fullStr Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title_full_unstemmed Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title_short Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol
title_sort identification of dysbetalipoproteinemia by an enhanced sampson-nih equation for very low-density lipoprotein-cholesterol
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329831/
https://www.ncbi.nlm.nih.gov/pubmed/35910208
http://dx.doi.org/10.3389/fgene.2022.935257
work_keys_str_mv AT sampsonmaureen identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol
AT wolskaanna identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol
AT meeusenjeffw identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol
AT donatolesliej identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol
AT jaffeallans identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol
AT remaleyalant identificationofdysbetalipoproteinemiabyanenhancedsampsonnihequationforverylowdensitylipoproteincholesterol