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Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis
To evaluate the presence of serum protein biomarkers associated with the early phases of formation of carotid atherosclerotic plaques, label-free quantitative proteomics analyses were made for serum samples collected as part of The Cardiovascular Risk in Young Finns Study. Samples from subjects who...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003912/ https://www.ncbi.nlm.nih.gov/pubmed/29907817 http://dx.doi.org/10.1038/s41598-018-27265-9 |
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author | Bhosale, Santosh D. Moulder, Robert Venäläinen, Mikko S. Koskinen, Juhani S. Pitkänen, Niina Juonala, Markus T. Kähönen, Mika A. P. Lehtimäki, Terho J. Viikari, Jorma S. A. Elo, Laura L. Goodlett, David R. Lahesmaa, Riitta Raitakari, Olli T. |
author_facet | Bhosale, Santosh D. Moulder, Robert Venäläinen, Mikko S. Koskinen, Juhani S. Pitkänen, Niina Juonala, Markus T. Kähönen, Mika A. P. Lehtimäki, Terho J. Viikari, Jorma S. A. Elo, Laura L. Goodlett, David R. Lahesmaa, Riitta Raitakari, Olli T. |
author_sort | Bhosale, Santosh D. |
collection | PubMed |
description | To evaluate the presence of serum protein biomarkers associated with the early phases of formation of carotid atherosclerotic plaques, label-free quantitative proteomics analyses were made for serum samples collected as part of The Cardiovascular Risk in Young Finns Study. Samples from subjects who had an asymptomatic carotid artery plaque detected by ultrasound examination (N = 43, Age = 30–45 years) were compared with plaque free controls (N = 43) (matched for age, sex, body weight and systolic blood pressure). Seven proteins (p < 0.05) that have been previously linked with atherosclerotic phenotypes were differentially abundant. Fibulin 1 proteoform C (FBLN1C), Beta-ala-his-dipeptidase (CNDP1), Cadherin-13 (CDH13), Gelsolin (GSN) and 72 kDa type IV collagenase (MMP2) were less abundant in cases, whereas Apolipoproteins C-III (APOC3) and apolipoprotein E (APOE) were more abundant. Using machine learning analysis, a biomarker panel of FBLN1C, APOE and CDH13 was identified, which classified cases from controls with an area under receiver-operating characteristic curve (AUROC) value of 0.79. Furthermore, using selected reaction monitoring mass spectrometry (SRM-MS) the decreased abundance of FBLN1C was verified. In relation to previous associations of FBLN1C with atherosclerotic lesions, the observation could reflect its involvement in the initiation of the plaque formation, or represent a particular risk phenotype. |
format | Online Article Text |
id | pubmed-6003912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60039122018-06-26 Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis Bhosale, Santosh D. Moulder, Robert Venäläinen, Mikko S. Koskinen, Juhani S. Pitkänen, Niina Juonala, Markus T. Kähönen, Mika A. P. Lehtimäki, Terho J. Viikari, Jorma S. A. Elo, Laura L. Goodlett, David R. Lahesmaa, Riitta Raitakari, Olli T. Sci Rep Article To evaluate the presence of serum protein biomarkers associated with the early phases of formation of carotid atherosclerotic plaques, label-free quantitative proteomics analyses were made for serum samples collected as part of The Cardiovascular Risk in Young Finns Study. Samples from subjects who had an asymptomatic carotid artery plaque detected by ultrasound examination (N = 43, Age = 30–45 years) were compared with plaque free controls (N = 43) (matched for age, sex, body weight and systolic blood pressure). Seven proteins (p < 0.05) that have been previously linked with atherosclerotic phenotypes were differentially abundant. Fibulin 1 proteoform C (FBLN1C), Beta-ala-his-dipeptidase (CNDP1), Cadherin-13 (CDH13), Gelsolin (GSN) and 72 kDa type IV collagenase (MMP2) were less abundant in cases, whereas Apolipoproteins C-III (APOC3) and apolipoprotein E (APOE) were more abundant. Using machine learning analysis, a biomarker panel of FBLN1C, APOE and CDH13 was identified, which classified cases from controls with an area under receiver-operating characteristic curve (AUROC) value of 0.79. Furthermore, using selected reaction monitoring mass spectrometry (SRM-MS) the decreased abundance of FBLN1C was verified. In relation to previous associations of FBLN1C with atherosclerotic lesions, the observation could reflect its involvement in the initiation of the plaque formation, or represent a particular risk phenotype. Nature Publishing Group UK 2018-06-15 /pmc/articles/PMC6003912/ /pubmed/29907817 http://dx.doi.org/10.1038/s41598-018-27265-9 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bhosale, Santosh D. Moulder, Robert Venäläinen, Mikko S. Koskinen, Juhani S. Pitkänen, Niina Juonala, Markus T. Kähönen, Mika A. P. Lehtimäki, Terho J. Viikari, Jorma S. A. Elo, Laura L. Goodlett, David R. Lahesmaa, Riitta Raitakari, Olli T. Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title | Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title_full | Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title_fullStr | Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title_full_unstemmed | Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title_short | Serum Proteomic Profiling to Identify Biomarkers of Premature Carotid Atherosclerosis |
title_sort | serum proteomic profiling to identify biomarkers of premature carotid atherosclerosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003912/ https://www.ncbi.nlm.nih.gov/pubmed/29907817 http://dx.doi.org/10.1038/s41598-018-27265-9 |
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