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In-depth characterisation of the urine metabolome in cats with and without urinary tract diseases

文献类型： 外文期刊

作者： Kim, Younjung 1 ; Xu, Wei 3 ; Barrs, Vanessa 4 ; Beatty, Julia 4 ; Kenez, Akos 2 ;

作者机构： 1.City Univ Hong Kong, Ctr Appl One Hlth Res & Policy Advice, Jockey Club Coll Vet Med & Life Sci, Hong Kong, Peoples R China

2.City Univ Hong Kong, Jockey Club Coll Vet Med & Life Sci, Dept Infect Dis & Publ Hlth, Hong Kong, Peoples R China

3.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

4.City Univ Hong Kong, Ctr Anim Hlth & Welf, Jockey Club Coll Vet Med & Life Sci, Hong Kong, Peoples R China

5.City Univ Hong Kong, Jockey Club Coll Vet Med & Life Sci, Dept Vet Clin Sci, Hong Kong, Peoples R China

6.Univ Sussex, Sch Life Sci, Brighton BN1 9QG, E Sussex, England

关键词： Metabolomics; Feline urine metabolome; LC-MS; Essential amino acids; Chronic kidney disease; Feline idiopathic cystitis

期刊名称：METABOLOMICS （ 影响因子：4.747； 五年影响因子：4.849 ）

ISSN： 1573-3882

年卷期： 2022 年 18 卷 4 期

页码：

收录情况： SCI

摘要： Introduction Our understanding of the urine metabolome and its association with urinary tract disease is limited in cats. Objectives We conducted a case-control study to characterise the feline urine metabolome, investigate its association with chronic kidney disease (CKD) and feline idiopathic cystitis (FIC), and assess its compositional relationship with the urine microbiome. Methods The urine metabolome of 45 owned cats, including 23 controls, 16 CKD, and 6 FIC cases, was characterised by an untargeted metabolomics approach using high-performance chemical isotope labelling liquid chromatography-mass spectrometry. Results We detected 9411 unique compounds in the urine of controls and cases and identified 1037 metabolites with high confidence. Amino acids, peptides, and analogues dominated these metabolites (32.2%), followed by carbonyl compounds (7.1%) and carbohydrates (6.5%). Seven controls from one household showed a significant level of metabolome clustering, with a distinct separation from controls from other households (p value < 0.001). Owner surveys revealed that this cluster of cats was fed dry food only, whereas all but one other control had wet food in their diet. Accordingly, the diet type was significantly associated with the urine metabolome composition in our multivariate model (p value = 0.001). Metabolites significantly altered in this cluster included taurine, an essential amino acid in cats. Urine metabolome profiles were not significantly different in CKD and FIC cases compared with controls, and no significant compositional relationship was detected between the urine metabolome and microbiome. Conclusion Our study reveals in-depth diversity of the feline urine metabolome composition, and suggests that it can vary considerably depending on environmental factors.

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