PXD018023

PXD018023 is an original dataset announced via ProteomeXchange.

Title	Urinary Metabolomic and Proteomic Analyses of a Prostatic Inflammation Mouse Model
Description	Lower urinary tract symptoms (LUTS) relate to storage and/or voiding disturbances which are common among aging men. Disease etiology is largely unknown, and diagnosis is currently based on subjective symptom scores. While mainstay treatments can be ineffective and bothersome, biomarker discovery efforts may facilitate objective diagnostic criteria for personalized medicine and new potential druggable pathways. Since inflammation is one of its plausible etiologies, the goal of this project is to explore urinary metabolite and protein biomarkers as a non-invasive method to diagnose of LUTS which is induced by inflammation. Herein, a bacterial-induced prostatic inflammation model was established with C57BL/6J mice infected with uropathogenic E. coli 1677. Mouse urine samples were collected from control and treatment mice. Mass Spectrometry-based multi-omics analysis was employed here to discover urinary protein and metabolite-based biomarkers specific to prostatic inflammation-induced LUTS. We investigated the use of isobaric dimethylated leucine (DiLeu) labeling for metabolite identification and quantification for the mouse urine samples, and because of the use of DiLeu labeling, we combined metabolomics and proteomics on the same LC-MS platform. Overall, a total of 143 amine-containing metabolites and 1058 urinary proteins were identified and quantified, among them, 14 metabolites and 168 proteins were significantly changed by the inflammation treatment. Five metabolic pathways and four inflammatory-related biological processes were potentially disrupted. After compare with LUTS patient and other previously report, metabolite creatine and protein Polymeric Ig receptor presents especially attractive combined biomarker for prostatic inflammation induced LUTS and could be further used as the LUTS patient stratification. Overall, this study found urine metabolomics and proteomics to be an informative and noninvasive method for candidate biomarkers determination and etiologies classification of LUTS induced by inflammation.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:21:41.147.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Pingli Wei
SpeciesList	scientific name: Mus musculus (Mouse); NCBI TaxID: 10090;
ModificationList	monohydroxylated residue; iodoacetic acid derivatized residue
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2020-03-12 04:07:03	ID requested
1	2021-05-02 23:24:31	announced
⏵ 2	2024-10-22 05:21:42	announced	2024-10-22: Updated project metadata.

Wei P, Hao L, Ma F, Yu Q, Buchberger AR, Lee S, Bushman W, Li L, Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation. Urine (Amst), 1():17-23(2019) [pubmed]

10.1016/j.urine.2020.05.002;

submitter keyword: proteomics, prostatic inflammation, isobaric labeling, metabolomics,urine, mass spectrometry, Metandem, label free., lower urinary tract symptoms

Lingjun Li
contact affiliation	School of Pharmacy, University of Wisconsin Madison Chemistry Department, University of Wisconsin Madison
contact email	lingjun.li@wisc.edu
lab head
Pingli Wei
contact affiliation	University of Wisconsin Madison
contact email	pwei8@wisc.edu
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD018023
     1. Label: PRIDE project
     2. Name: Urinary Metabolomic and Proteomic Analyses of a Prostatic Inflammation Mouse Model