Evidence map›Paper›PMID 23897580›Full record

Trial reportMolecular & cellular proteomics : MCP2013

A label-free selected reaction monitoring workflow identifies a subset of pregnancy specific glycoproteins as potential predictive markers of early-onset pre-eclampsia.

Richard T Blankley, Christal Fisher, Melissa Westwood, Robyn North, Philip N Baker, Michael J Walker, Andrew Williamson, Anthony D Whetton, Wanchang Lin, Lesley McCowan and 4 more

Open access · hybridAbstract readClinical TrialValidation Study
In one paragraph

Trial report in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 7% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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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

14 authors at 5 institutions in 3 countries.

Richard T BlankleyMaternal and Fetal Health Research Centre, Institute of Human Development, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, United Kingdom;
Christal Fisher
Melissa Westwood
Robyn North
Philip N Baker
Michael J Walker
Andrew Williamson
Anthony D Whetton
Wanchang Lin
Lesley McCowan
Claire T Roberts
Garth J S Cooper
Richard D Unwin
Jenny E Myers
Manchester Academic Health Science Centre · GBUniversity of Manchester · GBKing's College London · GBUniversity of Adelaide · AUUniversity of Auckland · NZ

Funding

Cancer Research UK
6 · The paper itself

Abstract

Pre-eclampsia (PE) is a serious complication of pregnancy with potentially life threatening consequences for both mother and baby. Presently there is no test with the required performance to predict which healthy first-time mothers will go on to develop PE. The high specificity, sensitivity, and multiplexed nature of selected reaction monitoring holds great potential as a tool for the verification and validation of putative candidate biomarkersfor disease states. Realization of this potential involves establishing a high throughput, cost effective, reproducible sample preparation workflow. We have developed a semi-automated HPLC-based sample preparation workflow before a label-free selected reaction monitoring approach. This workflow has been applied to the search for novel predictive biomarkers for PE. To discover novel candidate biomarkers for PE, we used isobaric tagging to identify several potential biomarker proteins in plasma obtained at 15 weeks gestation from nulliparous women who later developed PE compared with pregnant women who remained healthy. Such a study generates a number of "candidate" biomarkers that require further testing in larger patient cohorts. As proof-of-principle, two of these proteins were taken forward for verification in a 100 women (58 PE, 42 controls) using label-free SRM. We obtained reproducible protein quantitation across the 100 samples and demonstrated significant changes in protein levels, even with as little as 20% change in protein concentration. The SRM data correlated with a commercial ELISA, suggesting that this is a robust workflow suitable for rapid, affordable, label-free verification of which candidate biomarkers should be taken forward for thorough investigation. A subset of pregnancy-specific glycoproteins (PSGs) had value as novel predictive markers for PE.

Indexed as

AdolescentAdultAmino Acid SequenceAutomationbeta-ThromboglobulinBiomarkersChromatography, High Pressure LiquidCohort StudiesEarly DiagnosisEnzyme-Linked Immunosorbent AssayFemaleGlycoproteinsHumansMolecular Sequence DataPre-EclampsiaPregnancybeta-ThromboglobulinBiomarkersGlycoproteinsPPBP protein, humanPregnancy Proteins

Identifiers

PMID23897580
PMCPMC3820930
OpenAlexW1993977352

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.