#AI reads Urine# Untargeted Metabolic Profiling of Cat Urine and Plasma in Hypertension

The study focused on domestic cats aged 9 years and older, dividing them into three groups: the normotensive group (NT), the untreated hypertensive group (HTpre), and the hypertensive group treated with amlodipine (HTtx). Using untargeted metabolomics (flow infusion electrospray high-resolution mass spectrometry combined with statistical analysis), it investigated metabolic differences in plasma and urine among the three groups of cats. The aim was to identify biomarkers for the diagnosis of feline hypertension, clarify its pathogenesis, and understand the impact of amlodipine on metabolism. The results revealed significant biochemical differences among the three groups, with these differences primarily concentrated in urine: there were 498 metabolites with significant differences in urine between the HTpre and NT groups, involving multiple pathways such as the tricarboxylic acid cycle, amino acid metabolism, uremic toxins, phospholipids, and steroid hormones, and specific differential metabolites were also found in urine between the HTpre and HTtx groups. In contrast, differences in plasma were minimal—only one unidentified metabolite showed a difference between the HTpre and HTtx groups, and no significant differential metabolites were observed in plasma between the HTpre and NT groups. Additionally, although amlodipine could lower blood pressure, it had little overall impact on the metabolism of cats; metabolic differences between the HTtx and HTpre groups were slight, and the HTtx group still exhibited significant metabolic differences from the NT group. These findings indicate that urine is more suitable as a sample for metabolomic research related to feline hypertension.

J Vet Intern Med. 2025 Sep-Oct;39(5):e70227. doi: 10.1111/jvim.70227.

Youhe Gao

Statement: During the preparation of this work the author(s) used Doubao / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/