Dataset Information

Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia

ABSTRACT: Current 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.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

SUBMITTER: Saima Ahmed

LAB HEAD: Dr Hanno Steen

PROVIDER: PXD028895 | Pride | 2022-04-04

REPOSITORIES: Pride

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Publications

Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia.

Ahmed Saima S Odumade Oludare A OA van Zalm Patrick P Smolen Kinga K KK Fujimura Kimino K Muntel Jan J Rotunno Melissa S MS Winston Abigail B AB Steen Judith A JA Parad Richard B RB Van Marter Linda J LJ Kourembanas Stella S Steen Hanno H

Neonatology 20220124 2

<h4>Introduction</h4>Current techniques to diagnose and/or monitor critically ill neonates with bronchopulmonary dysplasia (BPD) require invasive sampling of body fluids, which is suboptimal in these frail neonates. We tested our hypothesis that it is feasible to use noninvasively collected urine samples for proteomics from extremely low gestational age newborns (ELGANs) at risk for BPD to confirm previously identified proteins and biomarkers associated with BPD.<h4>Methods</h4>We developed a ro ...[more]

PMID: 35073553

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Project description:Total pancreatectomy with islet cell autotransplantation (TPIAT) is a surgical treatment modality used for the management of painful chronic pancreatitis when medical and endoscopic therapies fail. Total pancreatectomy (TP) results in a number of clinical implications. However, the glucose-responsive insulin secretion can be preserved by combining TP with islet cell autotransplant (IAT). Despite the known clinical implications of TPIAT, the systemic molecular effects of TPIAT remains poorly investigated. Therefore, we performed the first hypothesis-generating study of the urinary proteome before and after TPIAT. The RAW- and processed data from the analysis can be found in this repository. Twenty-two chronic pancreatitis patients eligible for TPIAT were prospectively enrolled in the study at the University of Minnesota Medical Center between September 2011 and February 2014. Urine was collected within the week pre-TPIAT and 12-18 months post-TPIAT, resulting in 44 paired samples. The paired experimental design allowed us to subtract interpersonal differences. The unique set of urine samples were prepared for bottom-up label-free quantitative proteomics using the in-house developed ‘MStern’ protocol for the 96-well plate compatible processing of the urine samples. The samples were analyzed by LC-MS/MS and 2477 proteins were identified (FDR<0.01%). Five samples were found to have less than 30% of the cumulated list of proteins (<743 proteins) and so these samples and their respective matching sample were thus removed from the analysis. This resulted in a complete dataset with 17 matched pre- and post-TPIAT sample pairs. The final list of recommended included pairs for future analysis are indicated in the PX_TPIAT_Metadata.csv file. Note that extended clinical information only was available for the included samples. Furthermore, the information is only listed for the pre-TPIAT sample but applies to both the pre- and post-TPIAT participant sample. The data allows for studying the systemic molecular impact of the TPIAT procedure.

Dataset Information

Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia

Publications

Urine Proteomics for Noninvasive Monitoring of Biomarkers in Bronchopulmonary Dysplasia.

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