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Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample

BACKGROUND AND AIMS: Prevention measures for cardiovascular diseases (CVD) have shifted their focus from lipoproteins to the immune system. However, low-grade inflammation and dyslipidemia are tightly entangled. The objective of this study was to assess the relations between a broad panel of inflamm...

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Autores principales: Pontzen, Daniel L., Bahls, Martin, Albrecht, Diana, Felix, Stephan B., Dörr, Marcus, Ittermann, Till, Nauck, Matthias, Friedrich, Nele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334607/
https://www.ncbi.nlm.nih.gov/pubmed/37434164
http://dx.doi.org/10.1186/s12944-023-01856-6
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author Pontzen, Daniel L.
Bahls, Martin
Albrecht, Diana
Felix, Stephan B.
Dörr, Marcus
Ittermann, Till
Nauck, Matthias
Friedrich, Nele
author_facet Pontzen, Daniel L.
Bahls, Martin
Albrecht, Diana
Felix, Stephan B.
Dörr, Marcus
Ittermann, Till
Nauck, Matthias
Friedrich, Nele
author_sort Pontzen, Daniel L.
collection PubMed
description BACKGROUND AND AIMS: Prevention measures for cardiovascular diseases (CVD) have shifted their focus from lipoproteins to the immune system. However, low-grade inflammation and dyslipidemia are tightly entangled. The objective of this study was to assess the relations between a broad panel of inflammatory biomarkers and lipoprotein subclass parameters. METHODS: We utilized data from the population-based Study of Health in Pomerania (SHIP-TREND, n = 403). Plasma concentrations of 37 inflammatory markers were measured by a bead-based assay. Furthermore, we employed nuclear magnetic resonance spectroscopy to measure total cholesterol, total triglycerides, total phospholipids as well as the fractional concentrations of cholesterol, triglycerides, phospholipids, ApoA1, ApoA2 and ApoB in all major lipoprotein subclasses. Associations between inflammatory biomarkers and lipoprotein subclasses were analyzed by adjusted linear regression models. RESULTS: APRIL, BAFF, TWEAK, sCD30, Pentraxin-3, sTNFR1, sTNFR2, Osteocalcin, Chitinase 3-like 1, IFN-alpha2, IFN-gamma, IL-11, IL-12p40, IL-29, IL-32, IL-35, TSLP, MMP1 and MMP2 were related with lipoprotein subclass components, forming two distinct clusters. APRIL had inverse relations to HDL-C (total and subclasses) and HDL Apo-A1 and Apo-A2 content. MMP-2 was inversely related to VLDL-C (total and subclasses), IDL-C as well as LDL5/6-C and VLDL-TG, IDL-TG, total triglycerides as well as LDL5/5-TG and HDL4-TG. Additionally, we identified a cluster of cytokines linked to the Th1-immune response, which were associated with an atherogenic lipoprotein profile. CONCLUSION: Our findings expand the existing knowledge of inflammation-lipoprotein interactions, many of which are suggested to be involved in the pathogeneses of chronic non-communicable diseases. The results of our study support the use of immunomodulatory substances for the treatment and possibly prevention of CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01856-6.
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spelling pubmed-103346072023-07-12 Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample Pontzen, Daniel L. Bahls, Martin Albrecht, Diana Felix, Stephan B. Dörr, Marcus Ittermann, Till Nauck, Matthias Friedrich, Nele Lipids Health Dis Research BACKGROUND AND AIMS: Prevention measures for cardiovascular diseases (CVD) have shifted their focus from lipoproteins to the immune system. However, low-grade inflammation and dyslipidemia are tightly entangled. The objective of this study was to assess the relations between a broad panel of inflammatory biomarkers and lipoprotein subclass parameters. METHODS: We utilized data from the population-based Study of Health in Pomerania (SHIP-TREND, n = 403). Plasma concentrations of 37 inflammatory markers were measured by a bead-based assay. Furthermore, we employed nuclear magnetic resonance spectroscopy to measure total cholesterol, total triglycerides, total phospholipids as well as the fractional concentrations of cholesterol, triglycerides, phospholipids, ApoA1, ApoA2 and ApoB in all major lipoprotein subclasses. Associations between inflammatory biomarkers and lipoprotein subclasses were analyzed by adjusted linear regression models. RESULTS: APRIL, BAFF, TWEAK, sCD30, Pentraxin-3, sTNFR1, sTNFR2, Osteocalcin, Chitinase 3-like 1, IFN-alpha2, IFN-gamma, IL-11, IL-12p40, IL-29, IL-32, IL-35, TSLP, MMP1 and MMP2 were related with lipoprotein subclass components, forming two distinct clusters. APRIL had inverse relations to HDL-C (total and subclasses) and HDL Apo-A1 and Apo-A2 content. MMP-2 was inversely related to VLDL-C (total and subclasses), IDL-C as well as LDL5/6-C and VLDL-TG, IDL-TG, total triglycerides as well as LDL5/5-TG and HDL4-TG. Additionally, we identified a cluster of cytokines linked to the Th1-immune response, which were associated with an atherogenic lipoprotein profile. CONCLUSION: Our findings expand the existing knowledge of inflammation-lipoprotein interactions, many of which are suggested to be involved in the pathogeneses of chronic non-communicable diseases. The results of our study support the use of immunomodulatory substances for the treatment and possibly prevention of CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01856-6. BioMed Central 2023-07-11 /pmc/articles/PMC10334607/ /pubmed/37434164 http://dx.doi.org/10.1186/s12944-023-01856-6 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
Pontzen, Daniel L.
Bahls, Martin
Albrecht, Diana
Felix, Stephan B.
Dörr, Marcus
Ittermann, Till
Nauck, Matthias
Friedrich, Nele
Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title_full Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title_fullStr Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title_full_unstemmed Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title_short Low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
title_sort low-grade inflammation is associated with a heterogeneous lipoprotein subclass profile in an apparently healthy population sample
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334607/
https://www.ncbi.nlm.nih.gov/pubmed/37434164
http://dx.doi.org/10.1186/s12944-023-01856-6
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