Cargando…
Lipidome of mammographic breast density in premenopausal women
BACKGROUND: High mammographic breast density (MBD) is a strong risk factor for breast cancer development, but the biological mechanisms underlying MBD are unclear. Lipids play important roles in cell differentiation, and perturbations in lipid metabolism are implicated in cancer development. Neverth...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561435/ https://www.ncbi.nlm.nih.gov/pubmed/37814330 http://dx.doi.org/10.1186/s13058-023-01725-1 |
_version_ | 1785117922495037440 |
---|---|
author | Getz, Kayla R. Jeon, Myung Sik Luo, Chongliang Luo, Jingqin Toriola, Adetunji T. |
author_facet | Getz, Kayla R. Jeon, Myung Sik Luo, Chongliang Luo, Jingqin Toriola, Adetunji T. |
author_sort | Getz, Kayla R. |
collection | PubMed |
description | BACKGROUND: High mammographic breast density (MBD) is a strong risk factor for breast cancer development, but the biological mechanisms underlying MBD are unclear. Lipids play important roles in cell differentiation, and perturbations in lipid metabolism are implicated in cancer development. Nevertheless, no study has applied untargeted lipidomics to profile the lipidome of MBD. Through this study, our goal is to characterize the lipidome of MBD in premenopausal women. METHODS: Premenopausal women were recruited during their annual screening mammogram at the Washington University School of Medicine in St. Louis, MO. Untargeted lipidomic profiling for 982 lipid species was performed at Metabolon (Durham, NC®), and volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) was assessed using Volpara 1.5 (Volpara Health®). We performed multivariable linear regression models to investigate the associations of lipid species with MBD and calculated the covariate-adjusted least square mean of MBD by quartiles of lipid species. MBD measures were log(10) transformed, and lipid species were standardized. Linear coefficients of MBD were back-transformed and considered significant if the Bonferroni corrected p-value was < 0.05. RESULTS: Of the 705 premenopausal women, 72% were non-Hispanic white, and 23% were non-Hispanic black. Mean age, and BMI were 46 years and 30 kg/m(2), respectively. Fifty-six lipid species were significantly associated with VPD (52 inversely and 4 positively). The lipid species with positive associations were phosphatidylcholine (PC)(18:1/18:1), lysophosphatidylcholine (LPC)(18:1), lactosylceramide (LCER)(14:0), and phosphatidylinositol (PI)(18:1/18:1). VPD increased across quartiles of PI(18:1/18:1): (Q1 = 7.5%, Q2 = 7.7%, Q3 = 8.4%, Q4 = 9.4%, Bonferroni p-trend = 0.02). The lipid species that were inversely associated with VPD were mostly from the triacylglycerol (N = 43) and diacylglycerol (N = 7) sub-pathways. Lipid species explained some of the variation in VPD. The inclusion of lipid species increased the adjusted R(2) from 0.45, for a model that includes known determinants of VPD, to 0.59. CONCLUSIONS: We report novel lipid species that are associated with MBD in premenopausal women. Studies are needed to validate our results and the translational potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01725-1. |
format | Online Article Text |
id | pubmed-10561435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105614352023-10-10 Lipidome of mammographic breast density in premenopausal women Getz, Kayla R. Jeon, Myung Sik Luo, Chongliang Luo, Jingqin Toriola, Adetunji T. Breast Cancer Res Research BACKGROUND: High mammographic breast density (MBD) is a strong risk factor for breast cancer development, but the biological mechanisms underlying MBD are unclear. Lipids play important roles in cell differentiation, and perturbations in lipid metabolism are implicated in cancer development. Nevertheless, no study has applied untargeted lipidomics to profile the lipidome of MBD. Through this study, our goal is to characterize the lipidome of MBD in premenopausal women. METHODS: Premenopausal women were recruited during their annual screening mammogram at the Washington University School of Medicine in St. Louis, MO. Untargeted lipidomic profiling for 982 lipid species was performed at Metabolon (Durham, NC®), and volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) was assessed using Volpara 1.5 (Volpara Health®). We performed multivariable linear regression models to investigate the associations of lipid species with MBD and calculated the covariate-adjusted least square mean of MBD by quartiles of lipid species. MBD measures were log(10) transformed, and lipid species were standardized. Linear coefficients of MBD were back-transformed and considered significant if the Bonferroni corrected p-value was < 0.05. RESULTS: Of the 705 premenopausal women, 72% were non-Hispanic white, and 23% were non-Hispanic black. Mean age, and BMI were 46 years and 30 kg/m(2), respectively. Fifty-six lipid species were significantly associated with VPD (52 inversely and 4 positively). The lipid species with positive associations were phosphatidylcholine (PC)(18:1/18:1), lysophosphatidylcholine (LPC)(18:1), lactosylceramide (LCER)(14:0), and phosphatidylinositol (PI)(18:1/18:1). VPD increased across quartiles of PI(18:1/18:1): (Q1 = 7.5%, Q2 = 7.7%, Q3 = 8.4%, Q4 = 9.4%, Bonferroni p-trend = 0.02). The lipid species that were inversely associated with VPD were mostly from the triacylglycerol (N = 43) and diacylglycerol (N = 7) sub-pathways. Lipid species explained some of the variation in VPD. The inclusion of lipid species increased the adjusted R(2) from 0.45, for a model that includes known determinants of VPD, to 0.59. CONCLUSIONS: We report novel lipid species that are associated with MBD in premenopausal women. Studies are needed to validate our results and the translational potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-023-01725-1. BioMed Central 2023-10-09 2023 /pmc/articles/PMC10561435/ /pubmed/37814330 http://dx.doi.org/10.1186/s13058-023-01725-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Getz, Kayla R. Jeon, Myung Sik Luo, Chongliang Luo, Jingqin Toriola, Adetunji T. Lipidome of mammographic breast density in premenopausal women |
title | Lipidome of mammographic breast density in premenopausal women |
title_full | Lipidome of mammographic breast density in premenopausal women |
title_fullStr | Lipidome of mammographic breast density in premenopausal women |
title_full_unstemmed | Lipidome of mammographic breast density in premenopausal women |
title_short | Lipidome of mammographic breast density in premenopausal women |
title_sort | lipidome of mammographic breast density in premenopausal women |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561435/ https://www.ncbi.nlm.nih.gov/pubmed/37814330 http://dx.doi.org/10.1186/s13058-023-01725-1 |
work_keys_str_mv | AT getzkaylar lipidomeofmammographicbreastdensityinpremenopausalwomen AT jeonmyungsik lipidomeofmammographicbreastdensityinpremenopausalwomen AT luochongliang lipidomeofmammographicbreastdensityinpremenopausalwomen AT luojingqin lipidomeofmammographicbreastdensityinpremenopausalwomen AT toriolaadetunjit lipidomeofmammographicbreastdensityinpremenopausalwomen |