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Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study

BACKGROUND: The role of lipid metabolism in obesity and cancer manifestations cannot be underestimated, but whether alterations in lipid metabolism can manipulate the vasculature to promote obesity among breast cancer (BC) survivors is yet to be clearly understood. This study quantified plasma lipid...

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Autores principales: Okekunle, Akinkunmi Paul, Yie, Ga-Eun, Song, Sihan, Kim, Zisun, Youn, Hyun Jo, Cho, Jihyoung, Min, Jun Won, Kim, Yoo Seok, Lee, Jung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344652/
https://www.ncbi.nlm.nih.gov/pubmed/35918691
http://dx.doi.org/10.1186/s12944-022-01674-2
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author Okekunle, Akinkunmi Paul
Yie, Ga-Eun
Song, Sihan
Kim, Zisun
Youn, Hyun Jo
Cho, Jihyoung
Min, Jun Won
Kim, Yoo Seok
Lee, Jung Eun
author_facet Okekunle, Akinkunmi Paul
Yie, Ga-Eun
Song, Sihan
Kim, Zisun
Youn, Hyun Jo
Cho, Jihyoung
Min, Jun Won
Kim, Yoo Seok
Lee, Jung Eun
author_sort Okekunle, Akinkunmi Paul
collection PubMed
description BACKGROUND: The role of lipid metabolism in obesity and cancer manifestations cannot be underestimated, but whether alterations in lipid metabolism can manipulate the vasculature to promote obesity among breast cancer (BC) survivors is yet to be clearly understood. This study quantified plasma lipid and particle sizes using high-throughput proton ((1)H) nuclear magnetic resonance (NMR) and tested their associations with obesity among breast cancer (BC) survivors. METHODS: A total of 348 (225 premenopausal and 123 postmenopausal) BC survivors enrolled from five hospitals in Korea were included. We assessed thirty-four plasma lipid biomarkers using (1)H NMR, and obesity status was defined as a body mass index (BMI) of 25 kg/m(2) or greater. Generalized linear and logistic regression models were applied to estimate the least-square means of BMI (kg/m(2)) and odds ratio (OR)s of obesity, respectively, and the corresponding 95% confidence interval (CI)s across plasma lipid levels. RESULTS: Mean (SD) values of BMI was 23.3 (3.2) kg/m(2) and 90 (25.9%) had BMI of ≥ 25 kg/m(2). BMI levels increased with increasing total triglycerides (TG), TG in lipoproteins and very-low-density lipoprotein (VLDL) subfractions. However, BMI levels decreased with increasing tertiles of high-density lipoprotein (HDL)-cholesterol (C) and HDL particle size (HDL-p). Similar associations were observed in the logistic regression models. The increasing and decreasing BMI trends with TG and HDL profiles respectively were predominantly limited to premenopausal BC survivors. CONCLUSIONS: Increasing levels of plasma total TG and TG in lipoproteins were associated with increasing levels of BMI among premenopausal BC survivors. High HDL-C levels and large HDL-p were inversely associated with obesity among premenopausal BC survivors. Due to the cross-sectional design of this study, longitudinal studies are necessary to examine the association between obesity and lipid profile among BC survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01674-2.
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spelling pubmed-93446522022-08-03 Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study Okekunle, Akinkunmi Paul Yie, Ga-Eun Song, Sihan Kim, Zisun Youn, Hyun Jo Cho, Jihyoung Min, Jun Won Kim, Yoo Seok Lee, Jung Eun Lipids Health Dis Research BACKGROUND: The role of lipid metabolism in obesity and cancer manifestations cannot be underestimated, but whether alterations in lipid metabolism can manipulate the vasculature to promote obesity among breast cancer (BC) survivors is yet to be clearly understood. This study quantified plasma lipid and particle sizes using high-throughput proton ((1)H) nuclear magnetic resonance (NMR) and tested their associations with obesity among breast cancer (BC) survivors. METHODS: A total of 348 (225 premenopausal and 123 postmenopausal) BC survivors enrolled from five hospitals in Korea were included. We assessed thirty-four plasma lipid biomarkers using (1)H NMR, and obesity status was defined as a body mass index (BMI) of 25 kg/m(2) or greater. Generalized linear and logistic regression models were applied to estimate the least-square means of BMI (kg/m(2)) and odds ratio (OR)s of obesity, respectively, and the corresponding 95% confidence interval (CI)s across plasma lipid levels. RESULTS: Mean (SD) values of BMI was 23.3 (3.2) kg/m(2) and 90 (25.9%) had BMI of ≥ 25 kg/m(2). BMI levels increased with increasing total triglycerides (TG), TG in lipoproteins and very-low-density lipoprotein (VLDL) subfractions. However, BMI levels decreased with increasing tertiles of high-density lipoprotein (HDL)-cholesterol (C) and HDL particle size (HDL-p). Similar associations were observed in the logistic regression models. The increasing and decreasing BMI trends with TG and HDL profiles respectively were predominantly limited to premenopausal BC survivors. CONCLUSIONS: Increasing levels of plasma total TG and TG in lipoproteins were associated with increasing levels of BMI among premenopausal BC survivors. High HDL-C levels and large HDL-p were inversely associated with obesity among premenopausal BC survivors. Due to the cross-sectional design of this study, longitudinal studies are necessary to examine the association between obesity and lipid profile among BC survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01674-2. BioMed Central 2022-08-02 /pmc/articles/PMC9344652/ /pubmed/35918691 http://dx.doi.org/10.1186/s12944-022-01674-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Okekunle, Akinkunmi Paul
Yie, Ga-Eun
Song, Sihan
Kim, Zisun
Youn, Hyun Jo
Cho, Jihyoung
Min, Jun Won
Kim, Yoo Seok
Lee, Jung Eun
Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title_full Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title_fullStr Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title_full_unstemmed Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title_short Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
title_sort association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344652/
https://www.ncbi.nlm.nih.gov/pubmed/35918691
http://dx.doi.org/10.1186/s12944-022-01674-2
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