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The relationship between insulin resistance and ion mobility lipoprotein fractions

OBJECTIVE: Insulin resistance (IR) increases risk of type 2 diabetes and atherosclerotic cardiovascular disease and is associated with lipid and lipoprotein abnormalities including high triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C). Lipoprotein size and lipoprotein subfract...

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Autores principales: Rowland, Charles M., Abbasi, Fahim, Shiffman, Dov, Knowles, Joshua W., McPhaul, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816659/
https://www.ncbi.nlm.nih.gov/pubmed/36619297
http://dx.doi.org/10.1016/j.ajpc.2022.100457
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author Rowland, Charles M.
Abbasi, Fahim
Shiffman, Dov
Knowles, Joshua W.
McPhaul, Michael J.
author_facet Rowland, Charles M.
Abbasi, Fahim
Shiffman, Dov
Knowles, Joshua W.
McPhaul, Michael J.
author_sort Rowland, Charles M.
collection PubMed
description OBJECTIVE: Insulin resistance (IR) increases risk of type 2 diabetes and atherosclerotic cardiovascular disease and is associated with lipid and lipoprotein abnormalities including high triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C). Lipoprotein size and lipoprotein subfractions (LS) have also been used to assist in identifying persons with IR. Associations of LS and IR have not been validated using both direct measures of IR and direct measures of LS. We assessed the usefulness of fasting lipoprotein subfractions (LS) by ion mobility to identify individuals with IR. METHODS: Lipid panel, LS by ion mobility (LS-IM), and IR by steady-state plasma glucose (SSPG) concentration were assessed in 526 adult volunteers without diabetes. IR was defined as being in the highest tertile of SSPG concentration. LS-IM score was calculated by linear combination of regression coefficients from a stepwise regression analysis with SSPG concentration as the dependent variable. Improvement in prediction of IR was evaluated after combining LS-IM score with TG/HDL-C, TG/HDL-C and BMI as well as with TG/HDL-C, BMI, sex, race and ethnicity. IR prediction was evaluated by area under the receiver operating characteristic curve (AUC) and positive predictive value (PPV) considering the highest 5% of scores as positive test. RESULTS: Prediction of IR was similar by LS-IM score and TG/HDL-C (AUC=0.68; PPV=0.59 and AUC=0.70; PPV=0.59, respectively) and prediction was improved when LS-IM was combined with TG/HDL-C (AUC=0.73; PPV=0.70), TG/HDL-C and BMI (AUC=0.82; PPV=0.81) and with TG/HDL-C, BMI, sex, race and ethnicity (AUC=0.84; PPV=0.89). CONCLUSION: For identifying individuals with IR, LS-IM score and TG/HDL-C are comparable and their combination further improves IR prediction by TG/HDL-C alone. Among patients who have undergone IM testing, the LS-IM score may assist prioritization of subjects for further evaluation and interventions to reduce IR.
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spelling pubmed-98166592023-01-07 The relationship between insulin resistance and ion mobility lipoprotein fractions Rowland, Charles M. Abbasi, Fahim Shiffman, Dov Knowles, Joshua W. McPhaul, Michael J. Am J Prev Cardiol Original Research Contribution OBJECTIVE: Insulin resistance (IR) increases risk of type 2 diabetes and atherosclerotic cardiovascular disease and is associated with lipid and lipoprotein abnormalities including high triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C). Lipoprotein size and lipoprotein subfractions (LS) have also been used to assist in identifying persons with IR. Associations of LS and IR have not been validated using both direct measures of IR and direct measures of LS. We assessed the usefulness of fasting lipoprotein subfractions (LS) by ion mobility to identify individuals with IR. METHODS: Lipid panel, LS by ion mobility (LS-IM), and IR by steady-state plasma glucose (SSPG) concentration were assessed in 526 adult volunteers without diabetes. IR was defined as being in the highest tertile of SSPG concentration. LS-IM score was calculated by linear combination of regression coefficients from a stepwise regression analysis with SSPG concentration as the dependent variable. Improvement in prediction of IR was evaluated after combining LS-IM score with TG/HDL-C, TG/HDL-C and BMI as well as with TG/HDL-C, BMI, sex, race and ethnicity. IR prediction was evaluated by area under the receiver operating characteristic curve (AUC) and positive predictive value (PPV) considering the highest 5% of scores as positive test. RESULTS: Prediction of IR was similar by LS-IM score and TG/HDL-C (AUC=0.68; PPV=0.59 and AUC=0.70; PPV=0.59, respectively) and prediction was improved when LS-IM was combined with TG/HDL-C (AUC=0.73; PPV=0.70), TG/HDL-C and BMI (AUC=0.82; PPV=0.81) and with TG/HDL-C, BMI, sex, race and ethnicity (AUC=0.84; PPV=0.89). CONCLUSION: For identifying individuals with IR, LS-IM score and TG/HDL-C are comparable and their combination further improves IR prediction by TG/HDL-C alone. Among patients who have undergone IM testing, the LS-IM score may assist prioritization of subjects for further evaluation and interventions to reduce IR. Elsevier 2022-12-25 /pmc/articles/PMC9816659/ /pubmed/36619297 http://dx.doi.org/10.1016/j.ajpc.2022.100457 Text en © 2022 The Authors. Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Contribution
Rowland, Charles M.
Abbasi, Fahim
Shiffman, Dov
Knowles, Joshua W.
McPhaul, Michael J.
The relationship between insulin resistance and ion mobility lipoprotein fractions
title The relationship between insulin resistance and ion mobility lipoprotein fractions
title_full The relationship between insulin resistance and ion mobility lipoprotein fractions
title_fullStr The relationship between insulin resistance and ion mobility lipoprotein fractions
title_full_unstemmed The relationship between insulin resistance and ion mobility lipoprotein fractions
title_short The relationship between insulin resistance and ion mobility lipoprotein fractions
title_sort relationship between insulin resistance and ion mobility lipoprotein fractions
topic Original Research Contribution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816659/
https://www.ncbi.nlm.nih.gov/pubmed/36619297
http://dx.doi.org/10.1016/j.ajpc.2022.100457
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