Literature DB >> 33499801

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

Rosana Navajas1, Fernando Corrales1, Alberto Paradela2.   

Abstract

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.

Entities:  

Keywords:  Biomarkers; Cohort studies; Placenta; Plasma; Pre-eclampsia; Pregnancy; Proteome; Proteomics; Urine

Year:  2021        PMID: 33499801      PMCID: PMC7836571          DOI: 10.1186/s12014-021-09313-1

Source DB:  PubMed          Journal:  Clin Proteomics        ISSN: 1542-6416            Impact factor:   3.988


  95 in total

1.  Identification of proteomic biomarkers of preeclampsia in amniotic fluid using SELDI-TOF mass spectrometry.

Authors:  Joong Shin Park; Kyoung-Jin Oh; Errol R Norwitz; Joong-Soo Han; Hye-Jin Choi; Hyo Suk Seong; Yoon Dan Kang; Chan-Wook Park; Byoung Jae Kim; Jong Kwan Jun; Hee Chul Syn
Journal:  Reprod Sci       Date:  2008-05       Impact factor: 3.060

2.  Selecting protein N-terminal peptides by combined fractional diagonal chromatography.

Authors:  An Staes; Francis Impens; Petra Van Damme; Bart Ruttens; Marc Goethals; Hans Demol; Evy Timmerman; Joël Vandekerckhove; Kris Gevaert
Journal:  Nat Protoc       Date:  2011-07-14       Impact factor: 13.491

3.  Proteomics analysis of human placenta reveals glutathione metabolism dysfunction as the underlying pathogenesis for preeclampsia.

Authors:  Xiaohan Jin; Zhongwei Xu; Jin Cao; Ping Shao; Maobin Zhou; Zhe Qin; Yan Liu; Fang Yu; Xin Zhou; Wenjie Ji; Wei Cai; Yongqiang Ma; Chengyan Wang; Nana Shan; Ning Yang; Xu Chen; Yuming Li
Journal:  Biochim Biophys Acta Proteins Proteom       Date:  2017-07-10       Impact factor: 3.036

4.  Integrated Systems Biology Approach Identifies Novel Maternal and Placental Pathways of Preeclampsia.

Authors:  Nandor Gabor Than; Roberto Romero; Adi Laurentiu Tarca; Katalin Adrienna Kekesi; Yi Xu; Zhonghui Xu; Kata Juhasz; Gaurav Bhatti; Ron Joshua Leavitt; Zsolt Gelencser; Janos Palhalmi; Tzu Hung Chung; Balazs Andras Gyorffy; Laszlo Orosz; Amanda Demeter; Anett Szecsi; Eva Hunyadi-Gulyas; Zsuzsanna Darula; Attila Simor; Katalin Eder; Szilvia Szabo; Vanessa Topping; Haidy El-Azzamy; Christopher LaJeunesse; Andrea Balogh; Gabor Szalai; Susan Land; Olga Torok; Zhong Dong; Ilona Kovalszky; Andras Falus; Hamutal Meiri; Sorin Draghici; Sonia S Hassan; Tinnakorn Chaiworapongsa; Manuel Krispin; Martin Knöfler; Offer Erez; Graham J Burton; Chong Jai Kim; Gabor Juhasz; Zoltan Papp
Journal:  Front Immunol       Date:  2018-08-08       Impact factor: 7.561

5.  Screening of serum biomarkers of preeclampsia by proteomics combination with bioinformatics.

Authors:  Yuee Ling; Jie Su; Jie Lin; Sumei Wang
Journal:  Hypertens Pregnancy       Date:  2019-07-08       Impact factor: 2.108

6.  A review of omics approaches to study preeclampsia.

Authors:  Paula A Benny; Fadhl M Alakwaa; Ryan J Schlueter; Cameron B Lassiter; Lana X Garmire
Journal:  Placenta       Date:  2020-01-22       Impact factor: 3.481

Review 7.  Meta-Analysis and Systematic Review to Assess the Role of Soluble FMS-Like Tyrosine Kinase-1 and Placenta Growth Factor Ratio in Prediction of Preeclampsia: The SaPPPhirE Study.

Authors:  Swati Agrawal; Ana Sofia Cerdeira; Christopher Redman; Manu Vatish
Journal:  Hypertension       Date:  2017-12-11       Impact factor: 10.190

8.  Comparative proteome profile of human placenta from normal and preeclamptic pregnancies.

Authors:  Fuqiang Wang; Zhonghua Shi; Ping Wang; Wei You; Gaolin Liang
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

9.  Potential urine biomarkers for gestational hypertension and preeclampsia.

Authors:  Hong-Xia Guo; Yan-Bin Zhu; Cui-Ping Wu; Mei Zhong; Shui-Wang Hu
Journal:  Mol Med Rep       Date:  2019-01-30       Impact factor: 2.952

10.  Proteomics sample preparation, preservation, and fractionation.

Authors:  Gary B Smejkal
Journal:  Int J Proteomics       Date:  2012-12-30
View more
  5 in total

1.  Quantitative Alterations in Complement Alternative Pathway and Related Genetic Analysis in Severe Phenotype Preeclampsia.

Authors:  Layan Alrahmani; Maria L Gonzalez Suarez; Margot A Cousin; Ann M Moyer; Maria Alice V Willrich; Wendy M White; Myra J Wick; Linda J Tostrud; Kavita Narang; Vesna D Garovic
Journal:  Kidney360       Date:  2021-06-30

2.  Early pathways, biomarkers, and four distinct molecular subclasses of preeclampsia: The intersection of clinical, pathological, and high-dimensional biology studies.

Authors:  Nándor Gábor Than; Máté Posta; Dániel Györffy; László Orosz; Gergő Orosz; Simona W Rossi; Géza Ambrus-Aikelin; András Szilágyi; Sándor Nagy; Petronella Hupuczi; Olga Török; Adi L Tarca; Offer Erez; Zoltán Papp; Roberto Romero
Journal:  Placenta       Date:  2022-03-22       Impact factor: 3.287

3.  Preexisting hypertension and pregnancy-induced hypertension reveal molecular differences in placental proteome in rodents.

Authors:  Sheon Mary; Heather Small; Florian Herse; Emma Carrick; Arun Flynn; William Mullen; Ralf Dechend; Christian Delles
Journal:  Physiol Genomics       Date:  2021-05-10       Impact factor: 3.107

4.  Quantitative proteomic analysis of serum-purified exosomes identifies putative pre-eclampsia-associated biomarkers.

Authors:  Rosana Navajas; Antonio Ramos-Fernandez; Ignacio Herraiz; Alberto Galindo; José Luis Bartha; Fernando Corrales; Alberto Paradela
Journal:  Clin Proteomics       Date:  2022-02-10       Impact factor: 3.988

5.  Proteomics and Metabolomics Profiling of Platelets and Plasma Mediators of Thrombo-Inflammation in Gestational Hypertension and Preeclampsia.

Authors:  Luiz Gustavo N de Almeida; Daniel Young; Lorraine Chow; Joshua Nicholas; Adrienne Lee; Man-Chiu Poon; Antoine Dufour; Ejaife O Agbani
Journal:  Cells       Date:  2022-04-07       Impact factor: 7.666

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.