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Updated: Jan 23, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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Isobaric tag for relative and absolute quantitation based quantitative proteomics reveals unique urinary protein

Wenyan Ding1, Bintao Qiu2, David S Cram3

  • 1Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.

Journal of Cellular and Molecular Medicine
|June 25, 2019
PubMed

Insights

Researchers identified novel urinary protein biomarkers for preeclampsia (PE), a hypertensive disorder of pregnancy. This study offers new insights into PE pathogenesis and potential predictive markers for early detection.

Area of Science:

  • Proteomics
  • Biomarker Discovery
  • Pregnancy Disorders

Background:

  • Preeclampsia (PE) is a major pregnancy-related hypertensive disorder.
  • Currently, no reliable biomarkers exist for predicting PE onset.
  • Understanding PE pathogenesis is crucial for early detection and management.

Purpose of the Study:

  • To identify urinary protein biomarkers for preeclampsia.
  • To gain insights into the pathogenesis of preeclampsia.
  • To validate potential predictive markers for PE.

Main Methods:

  • Isobaric tags for relative and absolute quantitation (iTRAQ) proteomics coupled with 2-D LC-MS/MS.
  • Analysis of urinary protein profiles from preeclampsia patients and normotensive pregnant women.
  • Bioinformatics analysis (GO, KEGG) and validation of differentially expressed proteins (DEPs) via immunoblotting and ELISA.

Main Results:

  • 294 proteins were abnormally expressed in preeclampsia patients compared to controls.
  • Key pathways implicated include coagulation, complement, renin-angiotensin system, and cell adhesion molecules.
  • Serotransferrin (TF), complement factor B (CFB), and paraoxonase/arylesterase 1 (PON1) were validated as differentially expressed.

Conclusions:

  • This study provides a foundation for understanding preeclampsia pathogenesis.
  • Identified urinary proteins show potential as predictive biomarkers for preeclampsia.
  • Further research can leverage these findings for early PE detection and improved maternal health outcomes.

Keywords:
GO pathwaysKEGG pathwaysPEdifferential expressioniTRAQproteomicsurine

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