Evidence map›Paper›PMID 18984079›Full record

ArticleAmerican journal of obstetrics and gynecology2008

Proteomic profiling of urine identifies specific fragments of SERPINA1 and albumin as biomarkers of preeclampsia.

Irina A Buhimschi, Guomao Zhao, Edmund F Funai, Nathan Harris, Isaac E Sasson, Ira M Bernstein, George R Saade, Catalin S Buhimschi

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02455544 (The Clinical Utility of the Congo-Red Dot Test for Diagnosis and Early Prediction of Preeclampsia During Pregnancy), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02455544 completednot on this mapstarted 2014, after this paper: background citation

The Clinical Utility of the Congo-Red Dot Test for Diagnosis and Early Prediction of Preeclampsia During Pregnancy

Typeobservational_patient_registrySponsorCatalin S Buhimschi, MDRan2014 to 2018Enrolled346ConditionsPreeclampsia
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
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  5. Article
  6. Article
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  11. Review
  12. Article
  13. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Stress Response Is the Main Trigger of Sporadic Amyloidoses.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Review
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Irina A BuhimschiDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Yale University School of Medicine, New Haven, CT 06520-8063, USA. irina.buhimschi@yale.edu
Guomao Zhao
Edmund F Funai
Nathan Harris
Isaac E Sasson
Ira M Bernstein
George R Saade
Catalin S Buhimschi
Yale University · USThe University of Texas Medical Branch at Galveston · USUniversity of Vermont · US

Funding

A PROTEOMICS COMPUTATIONAL APPROACH TO PRETERM DELIVERYR01HD047321 · NICHD · YALE UNIVERSITY · PI BUHIMSCHI, IRINA A · 2004 to 2008
$1.8M
NICHD NIH HHS R01 HD047321NICHD NIH HHS R01 HD 047321-01
6 · The paper itself

Abstract

objectiveThe cause of preeclampsia remains unknown and the diagnosis can be uncertain. We used proteomic-based analysis of urine to improve disease classification and extend the pathophysiologic understanding of preeclampsia. STUDY

designUrine samples from 284 women were analyzed by surface-enhanced laser desorption/ionization. In the exploratory phase, 59 samples were used to extract the proteomic fingerprint characteristic of severe preeclampsia requiring mandated delivery and to develop a diagnostic algorithm. In the challenge phase, we sought to prospectively validate the algorithm in 225 women screened for a variety of high- and low-risk conditions, including preeclampsia. Of these, 19 women were followed longitudinally throughout pregnancy. The presence of biomarkers was interpreted relative to clinical classification, need for delivery, and other urine laboratory measures (ratios of protein to creatinine and soluble fms-like tyrosine kinase-1 to placental growth factor). In the translational phase, biomarker identification by tandem mass spectrometry and validation experiments in urine, serum, and placenta were used to identify, quantify, and localize the biomarkers or related proteins.

resultsWe report that women with preeclampsia appear to present a unique urine proteomic fingerprint that predicts preeclampsia in need of mandated delivery with highest accuracy. This characteristic proteomic profile also has the ability to distinguish preeclampsia from other hypertensive or proteinuric disorders in pregnancy. Pregnant women followed longitudinally who developed preeclampsia displayed abnormal urinary profiles more than 10 weeks before clinical manifestation. Tandem mass spectrometry and de novo sequencing identified the biomarkers as nonrandom cleavage products of SERPINA1 and albumin. Of these, the 21 amino acid C-terminus fragment of SERPINA1 was highly associated with severe forms of preeclampsia requiring early delivery. In preeclampsia, increased and aberrant SERPINA1 immunoreactivity was found in urine, serum, and placenta, in which it localized predominantly to placental villi and placental vascular spaces adherent to the endothelium. In addition, significant perivascular deposits of misfolded SERPINA1 aggregates were exclusively identified in preeclamptic placentae.

conclusionProteomics-based characterization of urine in preeclampsia identified a proteomic fingerprint composed of SERPINA1 and albumin fragments, which can accurately diagnose preeclampsia and shows promise to discriminate it from other hypertensive proteinuric diseases. These findings provide insight into a novel pathophysiological mechanism of preeclampsia related to SERPINA1 misfolding, which may offer new therapeutic opportunities in the future.

Indexed as

AlbuminuriaAlgorithmsalpha 1-AntitrypsinBiomarkersFemaleHumansObserver VariationPeptide MappingPre-EclampsiaPregnancyProspective StudiesProteomicsalpha 1-AntitrypsinBiomarkersSERPINA1 protein, human

Identifiers

PMID18984079
PMCPMC2679897
OpenAlexW2054423301

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.