Literature DB >> 31284791

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

Yuee Ling1, Jie Su1, Jie Lin1, Sumei Wang1.   

Abstract

Objective: To screen for novel predictive serum markers of preeclampsia (PE). Method: Blood samples were collected from seven women with PE and five with healthy pregnancies. Serum proteins were identified using isobaric tags for relative and absolute quantitation (iTRAQ) technology combined with liquid chromatography mass spectrometry analysis. The differentially expressed proteins in the PE samples were identified using the SwissProt database, and functionally annotated by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. The upregulated proteins from iTRAQ result were verified by ELISA.
Results: We identified 121 differentially expressed proteins, of which 76 were upregulated and 45 were downregulated, and 14 were differentially expressed by more than two-folds. The top GO terms for Cellular Components (CC) were high-density lipoprotein particles and plasma lipoprotein particles, defense response for Biological Processes (BP), and glycosaminoglycan binding, heparin binding and sulfur compound for Molecular functions (MF). The pathway hsa04979 for Cholesterol metabolism was significantly enriched among the upregulated proteins, while the structural domain was enriched in immunoglobulin subtype 2. The dysregulation of pregnancy-specific beta-1-glycoprotein 2 (PSG2) was confirmed by ELISA.
Conclusion: PE pathogenesis is related to lipid metabolism and inflammation, and proteins related to these pathways are potential early diagnostic markers for PE.PSG2 may be a marker of PE.

Entities:  

Keywords:  Preeclampsia; hypertension; iTRAQ; prediction

Year:  2019        PMID: 31284791     DOI: 10.1080/10641955.2019.1640246

Source DB:  PubMed          Journal:  Hypertens Pregnancy        ISSN: 1064-1955            Impact factor:   2.108


  6 in total

1.  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

2.  SERPINA1 Peptides in Urine as A Potential Marker of Preeclampsia Severity.

Authors:  Natalia Starodubtseva; Natalia Nizyaeva; Oleg Baev; Anna Bugrova; Masara Gapaeva; Kamilla Muminova; Alexey Kononikhin; Vladimir Frankevich; Eugene Nikolaev; Gennady Sukhikh
Journal:  Int J Mol Sci       Date:  2020-01-30       Impact factor: 5.923

3.  Complement and coagulation cascades activation is the main pathophysiological pathway in early-onset severe preeclampsia revealed by maternal proteomics.

Authors:  Lina Youssef; Jezid Miranda; Miquel Blasco; Cristina Paules; Francesca Crovetto; Marta Palomo; Sergi Torramade-Moix; Héctor García-Calderó; Olga Tura-Ceide; Ana Paula Dantas; Virginia Hernandez-Gea; Pol Herrero; Nuria Canela; Josep Maria Campistol; Joan Carles Garcia-Pagan; Maribel Diaz-Ricart; Eduard Gratacos; Fatima Crispi
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

Review 4.  Quantitative proteomics-based analyses performed on pre-eclampsia samples in the 2004-2020 period: a systematic review.

Authors:  Rosana Navajas; Fernando Corrales; Alberto Paradela
Journal:  Clin Proteomics       Date:  2021-01-26       Impact factor: 3.988

5.  Analysis of Proteomic Characteristics of Peripheral Blood in Preeclampsia and Study of Changes in Fetal Arterial Doppler Parameters Based on Magnetic Nanoparticles.

Authors:  Xundan Zhou; Lei Qu; Wenting Zhang; Fang Yang; Xiaoxia Hou; Shaoli Wang
Journal:  Comput Math Methods Med       Date:  2021-11-02       Impact factor: 2.238

6.  Immune cell infiltration landscape and immune marker molecular typing in preeclampsia.

Authors:  YiLin Meng; Chuang Li; Cai-Xia Liu
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  6 in total

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