PXD026931

PXD026931 is an original dataset announced via ProteomeXchange.

Title	Maternal plasma proteome profiling of biomarkers for stratification of early-onset and late-onset preeclampsia
Description	Hypertension in pregnancy is the leading cause of morbidity and mortality in pregnancy, affecting up to 10% of all gestations1. Hypertensive disorders of pregnancy include chronic hypertension, gestational hypertension, eclampsia and pre-eclampsia, all of which increase the risk of complications in both mothers and babies during gestation. Preeclampsia, in particular, is characterised by the new-onset of gestational hypertension in the presence of proteinuria or other organ damage. It affects 5-7% of pregnancies and causes approximately 76,000 maternal deaths and 500,000 foetal deaths worldwide each year2. The classification of preeclampsia has been evolving over the last decade. In 2013, American College of Obstetricians and Gynecologists (ACOG) and International Society for the Study of Hypertension in Pregnancy (ISSHP) in the absence of proteinuria included other symptoms/features including liver dysfunction, thrombocytopenia, cerebrovascular events or foetal growth restriction (FGR) in the diagnosis of preeclampsia 1,3,4. Despite the fact that preeclampsia is a multifactorial and heterogeneous disorder, it is now widely accepted that preeclampsia is stratified depending on the time of onset into: i) early-onset PE (EOPE) manifested before 34 weeks of gestation, and ii) late-onset PE (LOPE) manifested from 34 weeks of gestation. Although EOPE and LOPE share the same diagnostic criteria, these two phenotypes of preeclampsia lead to different outcomes. EOPE is commonly associated with FGR, abnormal uterine artery Doppler often leading to preterm birth and higher risk of post-pregnancy morbidities5,6. On the other hand, LOPE appears to be a less severe disorder, often with normal or slightly increased uterine resistance index and a low rate of FGR6,7. Distinct delineation between EOPE and LOPE is still not well understood, with most patients with preeclampsia presenting elements of both pathologies proposing a clinical spectrum for preeclampsia. The lack of untargeted discovery studies involving ‘omics’ analyses has impeded understanding of the molecular differences between these two phenotypes of preeclampsia. Notably, a study from 20058 utilised a proteomics approach using urine samples from a cohort of pregnant women with EOPE and healthy controls, however the differences between EOPE and LOPE were not elucidated. Another more recent bioinformatics study, identified overlapping pathogenic mechanisms between preeclampsia, hypertension and heart disease but could not stratify between EOPE and LOPE due to underreported of data related to individual phenotypes9. In this study, we conducted an unbiased, comprehensive proteomics investigation using plasma samples collected from patients with EOPE (n=17) and LOPE (n=11), compared with age- and BMI-matched normotensive controls (n=18). The use of plasma samples is able to better reflect the pathogenesis of EOPE and LOPE as systemic conditions centred by widespread endothelial dysfunction.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:38:44.931.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD026931
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Matthew Padula
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	S-carboxamidoethyl-L-cysteine
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2021-06-25 03:54:51	ID requested
1	2023-03-10 23:47:00	announced
⏵ 2	2023-11-14 08:38:45	announced	2023-11-14: Updated project metadata.

10.6019/PXD026931;

Chen H, Aneman I, Nikolic V, Karadzov Orlic N, Mikovic Z, Stefanovic M, Cakic Z, Jovanovic H, Town SEL, Padula MP, McClements L, Maternal plasma proteome profiling of biomarkers and pathogenic mechanisms of early-onset and late-onset preeclampsia. Sci Rep, 12(1):19099(2022) [pubmed]

submitter keyword: Plasma, preeclampsia, biomarkers, LC-MS/MS

Lana McClements
contact affiliation	School of Life Sciences, University of Technology Sydney
contact email	Lana.McClements@uts.edu.au
lab head
Matthew Padula
contact affiliation	University of technology Sydney
contact email	matthew.padula@uts.edu.au
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD026931
     1. Label: PRIDE project
     2. Name: Maternal plasma proteome profiling of biomarkers for stratification of early-onset and late-onset preeclampsia