2026-10-15T09:21:12Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34503967 2026-10-14T14:43:17Z category_4 category_915 category_7 category_12 category_13 category_16 category_19 category_21 category_873 category_502 category_45 category_46 category_734 category_62 category_64 category_128 portal_63 item_type_3 month_year_10_2026

Leveraging Urinary Proteomics to Advance Pathophysiologic and Biomarker Perspectives of Chronic Kidney Disease in Cats Katelyn B. Brusach (25809694) Ariana E. Shannon (14503484) Brian C. Searle (1520617) Jessica M. Quimby (14584691) Biochemistry Physical Sciences not elsewhere classified Medicine Cell Biology Genetics Physiology Pharmacology Biotechnology Chemical Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Sociology Immunology Biological Sciences not elsewhere classified Marine Biology Cancer Hematology unique protein profiles gain pathophysiological insights discovering candidate biomarkers leveraging urinary proteomics global urinary proteomes identify protein profiles grouping proteins based 219 urinary proteins chronic kidney disease precisely diagnose ckd feline urinary proteome urinary proteome individual proteins identify 2 feline medicine feline ckd study aims promising biomarker prevalent diseases powerful framework mechanistic understanding mass spectrometry biomarker perspectives biomarker candidates 7 may Chronic kidney disease (CKD) is one of the most prevalent diseases in feline medicine. Mass spectrometry-based urinary proteomics offers powerful insight into biomarker candidates and disease subtyping in CKD by measuring protein profiles rather than individual proteins. This study aims to measure the urinary proteome to identify protein profiles in cats with and without CKD to gain pathophysiological insights into the disease and more precisely diagnose CKD. Here, we identify 2,219 urinary proteins in the feline urinary proteome. Using univariate biomarker analysis, we show that MMP-7 may be a promising biomarker of CKD in cats. We then demonstrate the power of using protein profiles rather than individual proteins by grouping proteins based on how they trend across disease states. The changes to the global urinary proteomes of individual cats showed three distinct groups of CKD cats with unique protein profiles, suggesting that different pathophysiological mechanisms mediate disease subtypes. We demonstrate that large-scale urinary proteomics may provide a powerful framework for discovering candidate biomarkers that advance the subtyping and mechanistic understanding of feline CKD. 2026-10-14T00:00:00Z Dataset Dataset 10.1021/acs.jproteome.6c00357.s008 https://figshare.com/articles/dataset/Leveraging_Urinary_Proteomics_to_Advance_Pathophysiologic_and_Biomarker_Perspectives_of_Chronic_Kidney_Disease_in_Cats/34503967 CC BY-NC 4.0