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PXD028895

PXD028895 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleUrine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia
DescriptionCurrent techniques to diagnose and/or monitor critically ill neonates with bronchopulmonary dysplasia (BPD) require invasive sampling of body fluids, which can affect the health status of these frail neonate. We tested our hypotheses 1) it is feasible to use early urine samples from extremely low gestational age newborns at risk for bronchopulmonary dysplasia for proteomics, and 2) urine proteomics can confirm previously identified proteins and biomarkers associated with BPD without invasive sample collection. We developed a robust high throughput urine proteomics methodology that requires only 50 microliters of urine. We validated the methodology on urine collected within 72 hours of birth. Urine samples were collected from extremely low gestational age newborns (ELGANS) (gestational age (26 + 1.2) weeks) admitted to a single Neonatal Intensive Care Unit(NICU); half of whom eventually developed BPD, while the other half served as controls. Our high throughput urine proteomics approach clearly identified several BPD-associated changes in the urine proteome recapitulating expected blood proteome changes. Interestingly, sixteen identified urinary proteins are known targets of drugs approved by the Food and Drug Administration (FDA). Urine proteomics can be used for prediction of BPD risk. In addition to identifying numerous proteins implicated in BPD pathophysiology, previously found in invasively collected blood, tracheal aspirate, and broncho-alveolar lavage, urine proteomics also suggested novel potential therapeutic targets. Ease of access to urine for sequential proteomic evaluations could also allow for longitudinal monitoring of disease progression and impact of therapeutic intervention.
HostingRepositoryPRIDE
AnnounceDate2022-05-31
AnnouncementXMLSubmission_2022-05-31_06:42:44.071.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterSaima Ahmed
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02021-10-04 04:00:56ID requested
12022-05-31 06:42:45announced
Publication List
Ahmed S, Odumade OA, van Zalm P, Smolen KK, Fujimura K, Muntel J, Rotunno MS, Winston AB, Steen JA, Parad RB, Van Marter LJ, Kourembanas S, Steen H, Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia. Neonatology, 119(2):193-203(2022) [pubmed]
Keyword List
submitter keyword: extremely low gestational age newborn, mass spectrometry, chronic lung disease
Contact List
Dr Hanno Steen
contact affiliationDirector of Proteomics Boston Children's Hospital Associate Professor of Pathology Harvard Medical School
contact emailHanno.Steen@childrens.harvard.edu
lab head
Saima Ahmed
contact affiliationBoston Children's Hospital
contact emailsaima.ahmed@childrens.harvard.edu
dataset submitter
Full Dataset Link List
Dataset FTP location
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