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Next generation plasma proteome profiling to monitor health and disease
The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093230/ https://www.ncbi.nlm.nih.gov/pubmed/33941778 http://dx.doi.org/10.1038/s41467-021-22767-z |
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author | Zhong, Wen Edfors, Fredrik Gummesson, Anders Bergström, Göran Fagerberg, Linn Uhlén, Mathias |
author_facet | Zhong, Wen Edfors, Fredrik Gummesson, Anders Bergström, Göran Fagerberg, Linn Uhlén, Mathias |
author_sort | Zhong, Wen |
collection | PubMed |
description | The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts. |
format | Online Article Text |
id | pubmed-8093230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80932302021-05-11 Next generation plasma proteome profiling to monitor health and disease Zhong, Wen Edfors, Fredrik Gummesson, Anders Bergström, Göran Fagerberg, Linn Uhlén, Mathias Nat Commun Article The need for precision medicine approaches to monitor health and disease makes it important to develop sensitive and accurate assays for proteome profiles in blood. Here, we describe an approach for plasma profiling based on proximity extension assay combined with next generation sequencing. First, we analyze the variability of plasma profiles between and within healthy individuals in a longitudinal wellness study, including the influence of genetic variations on plasma levels. Second, we follow patients newly diagnosed with type 2 diabetes before and during therapeutic intervention using plasma proteome profiling. The studies show that healthy individuals have a unique and stable proteome profile and indicate that a panel of proteins could potentially be used for early diagnosis of diabetes, including stratification of patients with regards to response to metformin treatment. Although validation in larger cohorts is needed, the analysis demonstrates the usefulness of comprehensive plasma profiling for precision medicine efforts. Nature Publishing Group UK 2021-05-03 /pmc/articles/PMC8093230/ /pubmed/33941778 http://dx.doi.org/10.1038/s41467-021-22767-z Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhong, Wen Edfors, Fredrik Gummesson, Anders Bergström, Göran Fagerberg, Linn Uhlén, Mathias Next generation plasma proteome profiling to monitor health and disease |
title | Next generation plasma proteome profiling to monitor health and disease |
title_full | Next generation plasma proteome profiling to monitor health and disease |
title_fullStr | Next generation plasma proteome profiling to monitor health and disease |
title_full_unstemmed | Next generation plasma proteome profiling to monitor health and disease |
title_short | Next generation plasma proteome profiling to monitor health and disease |
title_sort | next generation plasma proteome profiling to monitor health and disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093230/ https://www.ncbi.nlm.nih.gov/pubmed/33941778 http://dx.doi.org/10.1038/s41467-021-22767-z |
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