Urinary Metabolomic and Proteomic Analyses in a Mouse Model of Prostatic Inflammation.

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Since prostatic inflammation is one of its etiologies, it is plausible that urinary metabolite and protein biomarkers could be identified and used to diagnose inflammation-induced LUTS. We characterized the urine metabolome and proteome in a mouse model of bacterial-induced prostatic inflammation. Mass Spectrometry (MS)-based multi-omics analysis was employed to discover urinary protein and metabolite-based biomarkers. The investigation of isobaric dimethylated leucine (DiLeu) labeling on metabolites allowed metabolomics and proteomics analysis on the same liquid chromatography (LC)-MS platform. In total, 143 amine-containing metabolites and 1058 urinary proteins were identified and quantified (data are available via ProteomeXchange with identifier PXD018023); among them, 14 metabolites and 168 proteins were significantly changed by prostatic inflammation. Five metabolic pathways and four inflammation-related biological processes were potentially disrupted. By comparing our findings with urinary biomarkers identified in a mouse model of genetic-induced prostate inflammation and with those previously found to be associated with LUTS in older men, we identified creatine, haptoglobin, immunoglobulin kappa constant and polymeric Ig receptor as conserved biomarkers for prostatic inflammation associated with LUTS. These data suggest that these putative biomarkers could be used to identify men in which prostate inflammation is present and contributing to LUTS.", "claims": [{"id": "claim-method", "statement": "Two-tailed Student’s t-test (unequal variance) was used to compare metabolite abundance between groups (i.e., E. coli infected vs control mice).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33870183", "locator": "sections[7] \"Metabolomics LC-MS Acquisition and Data Analysis\" paragraph 2", "quote": "Two-tailed Student’s t-test (unequal variance) was used to compare metabolite abundance between groups (i.e., E. coli infected vs control mice)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "(data are available via ProteomeXchange with identifier PXD018023)", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33870183", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "(data are available via ProteomeXchange with identifier PXD018023)"}], "state": "complete"}, {"id": "claim-target-result", "statement": "In total, 143 amine-containing metabolites and 1058 urinary proteins were identified and quantified (data are available via ProteomeXchange with identifier PXD018023); among them, 14 metabolites and 168 proteins were significantly changed by prostatic inflammation.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:33870183", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In total, 143 amine-containing metabolites and 1058 urinary proteins were identified and quantified (data are available via ProteomeXchange with identifier PXD018023); among them, 14 metabolites and 168 proteins were significantly changed by prostatic inflammation."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In total, 143 amine-containing metabolites and 1058 urinary proteins were identified and quantified (data are available via ProteomeXchange with identifier PXD018023); among them, 14 metabolites and 168 proteins were significantly changed by prostatic inflammation.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33870183"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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