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Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review

BACKGROUND: Quantitative proteomics is an invaluable tool in biomedicine for the massive comparative analysis of protein component of complex biological samples. In the last two decades, this technique has been used to describe proteins potentially involved in the pathophysiological mechanisms of pr...

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Autores principales: Navajas, Rosana, Corrales, Fernando, Paradela, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836571/
https://www.ncbi.nlm.nih.gov/pubmed/33499801
http://dx.doi.org/10.1186/s12014-021-09313-1
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author Navajas, Rosana
Corrales, Fernando
Paradela, Alberto
author_facet Navajas, Rosana
Corrales, Fernando
Paradela, Alberto
author_sort Navajas, Rosana
collection PubMed
description BACKGROUND: Quantitative proteomics is an invaluable tool in biomedicine for the massive comparative analysis of protein component of complex biological samples. In the last two decades, this technique has been used to describe proteins potentially involved in the pathophysiological mechanisms of preeclampsia as well as to identify protein biomarkers that could be used with diagnostic/prognostic purposes in pre-eclampsia. RESULTS: We have done a systematic review of all proteomics-based papers describing differentially expressed proteins in this disease. Searching Pubmed with the terms pre-eclampsia and proteomics, restricted to the Title/Abstract and to MeSH fields, and following manual curation of the original list, retrieved 69 original articles corresponding to the 2004–2020 period. We have only considered those results based on quantitative, unbiased proteomics studies conducted in a controlled manner on a cohort of control and pre-eclamptic individuals. The sources of biological material used were serum/plasma (n = 32), placenta (n = 23), urine (n = 9), cerebrospinal fluid (n = 2), amniotic fluid (n = 2) and decidual tissue (n = 1). Overall results were filtered based on two complementary criteria. First, we have only accounted all those proteins described in at least two (urine), three (placenta) and four (serum/plasma) independent studies. Secondly, we considered the consistency of the quantitative data, that is, inter-study agreement in the protein abundance control/pre-eclamptic ratio. The total number of differential proteins in serum/plasma (n = 559), placenta (n = 912), urine (n = 132) and other sources of biological material (n = 26), reached 1631 proteins. Data were highly complementary among studies, resulting from differences on biological sources, sampling strategies, patient stratification, quantitative proteomic analysis methods and statistical data analysis. Therefore, stringent filtering was applied to end up with a cluster of 18, 29 and 16 proteins consistently regulated in pre-eclampsia in placenta, serum/plasma and urine, respectively. The systematic collection, standardization and evaluation of the results, using diverse filtering criteria, provided a panel of 63 proteins whose levels are consistently modified in the context of pre-eclampsia.
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spelling pubmed-78365712021-01-27 Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review Navajas, Rosana Corrales, Fernando Paradela, Alberto Clin Proteomics Review BACKGROUND: Quantitative proteomics is an invaluable tool in biomedicine for the massive comparative analysis of protein component of complex biological samples. In the last two decades, this technique has been used to describe proteins potentially involved in the pathophysiological mechanisms of preeclampsia as well as to identify protein biomarkers that could be used with diagnostic/prognostic purposes in pre-eclampsia. RESULTS: We have done a systematic review of all proteomics-based papers describing differentially expressed proteins in this disease. Searching Pubmed with the terms pre-eclampsia and proteomics, restricted to the Title/Abstract and to MeSH fields, and following manual curation of the original list, retrieved 69 original articles corresponding to the 2004–2020 period. We have only considered those results based on quantitative, unbiased proteomics studies conducted in a controlled manner on a cohort of control and pre-eclamptic individuals. The sources of biological material used were serum/plasma (n = 32), placenta (n = 23), urine (n = 9), cerebrospinal fluid (n = 2), amniotic fluid (n = 2) and decidual tissue (n = 1). Overall results were filtered based on two complementary criteria. First, we have only accounted all those proteins described in at least two (urine), three (placenta) and four (serum/plasma) independent studies. Secondly, we considered the consistency of the quantitative data, that is, inter-study agreement in the protein abundance control/pre-eclamptic ratio. The total number of differential proteins in serum/plasma (n = 559), placenta (n = 912), urine (n = 132) and other sources of biological material (n = 26), reached 1631 proteins. Data were highly complementary among studies, resulting from differences on biological sources, sampling strategies, patient stratification, quantitative proteomic analysis methods and statistical data analysis. Therefore, stringent filtering was applied to end up with a cluster of 18, 29 and 16 proteins consistently regulated in pre-eclampsia in placenta, serum/plasma and urine, respectively. The systematic collection, standardization and evaluation of the results, using diverse filtering criteria, provided a panel of 63 proteins whose levels are consistently modified in the context of pre-eclampsia. BioMed Central 2021-01-26 /pmc/articles/PMC7836571/ /pubmed/33499801 http://dx.doi.org/10.1186/s12014-021-09313-1 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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 Review
Navajas, Rosana
Corrales, Fernando
Paradela, Alberto
Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title_full Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title_fullStr Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title_full_unstemmed Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title_short Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
title_sort quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004–2020 period: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836571/
https://www.ncbi.nlm.nih.gov/pubmed/33499801
http://dx.doi.org/10.1186/s12014-021-09313-1
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