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高血压猫尿液和血浆的非靶向代谢谱分析

Untargeted Metabolic Profiling of Cat Urine and Plasma in Hypertension.

作者信息

Scott-Baumann Jim, Watson Alice H, Mur Luis, Syme Harriet M

机构信息

Aberystwyth University, Faculty of Earth and Life Sciences, Aberystwyth School of Veterinary Sciences, Aberystwyth, Wales, United Kingdom of Great Britain and Northern Ireland.

Royal Veterinary College, Deptartment Clinical Science and Services, Hertfordshire, United Kingdom of Great Britain and Northern Ireland.

出版信息

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

DOI:10.1111/jvim.70227
PMID:40884430
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12397984/
Abstract

BACKGROUND

Early diagnosis of hypertension remains an important problem in cats. Lack of routine blood pressure screening in primary care practice, and the possibility of white coat artifact mean the discovery of a new diagnostic test, if less sensitive to short-term changes in blood pressure associated with veterinary care, would be useful. Identification of metabolomic changes in hypertensive cats could advance understanding of the pathogenesis of hypertension in cats, as well as identify novel biomarkers.

OBJECTIVES

Use untargeted metabolomics to identify biochemical changes in cat plasma and urine between normotensive controls (NT) and hypertensive cats before treatment (HTpre); HTpre and hypertensive cats treated with amlodipine (HTtx).

ANIMALS

Biobanked surplus plasma and urine samples were selected from client-owned cats (> 9 years old) that were NT (urine n = 17, plasma n = 19), HTpre (urine n = 13, plasma n = 19), or HTtx (urine n = 12, plasma n = 19).

METHODS

Samples were profiled using flow infusion electrospray-high-resolution mass spectrometry, and differences assessed using univariate (paired or two sample t-tests) and multivariate (partial least squares discriminant analysis) methods using the R-based MetaboAnalyst platform. Tentative identifications of metabolites then were made using the MZedDb database.

RESULTS

Significant (false discovery adjusted < 0.01) biochemical differences were observed between each of the sample groups. Biochemical changes in urine between HTpre and NT animals were linked to the tricarboxylic acid cycle, oxidative stress, steroid hormones, taurine metabolism, and phosphatidylinositol-3,4,5-trisphosphate.

CONCLUSIONS

Metabolites altered in hypertensive cats were similar to those observed in other species.

摘要

背景

猫高血压的早期诊断仍是一个重要问题。基层医疗实践中缺乏常规血压筛查,且存在白大衣假象,这意味着如果发现一种对与兽医护理相关的血压短期变化不太敏感的新诊断测试将很有用。识别高血压猫的代谢组学变化有助于深入了解猫高血压的发病机制,并识别新的生物标志物。

目的

使用非靶向代谢组学来识别正常血压对照猫(NT)与治疗前高血压猫(HTpre)以及HTpre与接受氨氯地平治疗的高血压猫(HTtx)之间猫血浆和尿液中的生化变化。

动物

从客户拥有的年龄大于9岁的猫中选取生物样本库中的多余血浆和尿液样本,这些猫分为NT组(尿液n = 17,血浆n = 19)、HTpre组(尿液n = 13,血浆n = 19)或HTtx组(尿液n = 12,血浆n = 19)。

方法

使用流动注射电喷雾高分辨率质谱对样本进行分析,并使用基于R的MetaboAnalyst平台通过单变量(配对或两样本t检验)和多变量(偏最小二乘判别分析)方法评估差异。然后使用MZedDb数据库对代谢物进行初步鉴定。

结果

在每个样本组之间均观察到显著(错误发现率调整后<0.01)的生化差异。HTpre组和NT组动物尿液中的生化变化与三羧酸循环、氧化应激、类固醇激素、牛磺酸代谢和磷脂酰肌醇-3,4,5-三磷酸有关。

结论

高血压猫中改变的代谢物与其他物种中观察到的相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7752/12397984/7d51439b5a00/JVIM-39-e70227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7752/12397984/75f2943c5241/JVIM-39-e70227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7752/12397984/7d51439b5a00/JVIM-39-e70227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7752/12397984/75f2943c5241/JVIM-39-e70227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7752/12397984/7d51439b5a00/JVIM-39-e70227-g002.jpg

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Sci Rep. 2025 Feb 26;15(1):6875. doi: 10.1038/s41598-025-90019-x.
2
Metabolomics reveals alterations in gut-derived uremic toxins and tryptophan metabolism in feline chronic kidney disease.代谢组学揭示了猫慢性肾病中肠道源性尿毒症毒素和色氨酸代谢的变化。
Vet Q. 2025 Dec;45(1):1-15. doi: 10.1080/01652176.2024.2447601. Epub 2025 Jan 2.
3
Fecal microbiota and concentrations of long-chain fatty acids, sterols, and unconjugated bile acids in cats with chronic enteropathy.
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Front Vet Sci. 2024 Jun 12;11:1401592. doi: 10.3389/fvets.2024.1401592. eCollection 2024.
4
Gut microbiota promoting propionic acid production accompanies caloric restriction-induced intentional weight loss in cats.肠道微生物群促进丙酸生成伴随猫热量限制诱导的有意体重减轻。
Sci Rep. 2024 May 24;14(1):11901. doi: 10.1038/s41598-024-62243-4.
5
Untargeted metabolomic profiling of serum from client-owned cats with early and late-stage chronic kidney disease.患早晚期慢性肾病的宠物猫血清的非靶向代谢组学分析。
Sci Rep. 2024 Feb 27;14(1):4755. doi: 10.1038/s41598-024-55249-5.
6
Identification of Gut Microbiome and Metabolites Associated with Acute Diarrhea in Cats.鉴定与猫急性腹泻相关的肠道微生物组和代谢产物。
Microbiol Spectr. 2023 Aug 17;11(4):e0059023. doi: 10.1128/spectrum.00590-23. Epub 2023 Jul 10.
7
Under pressure: A survey of Canadian veterinarians in the diagnosis and treatment of feline hypertension.压力之下:加拿大兽医在猫科动物高血压诊断和治疗方面的调查。
Can Vet J. 2023 Jan;64(1):45-53.
8
Effects of antimicrobials on the gastrointestinal microbiota of dogs and cats.抗微生物药物对犬猫胃肠道微生物群的影响。
Vet J. 2023 Jan;291:105929. doi: 10.1016/j.tvjl.2022.105929. Epub 2022 Nov 24.
9
Citraconate inhibits ACOD1 (IRG1) catalysis, reduces interferon responses and oxidative stress, and modulates inflammation and cell metabolism.柠康酸盐抑制 ACOD1(IRG1)的催化作用,减少干扰素反应和氧化应激,并调节炎症和细胞代谢。
Nat Metab. 2022 May;4(5):534-546. doi: 10.1038/s42255-022-00577-x. Epub 2022 Jun 2.
10
Feeding cats with chronic kidney disease food supplemented with betaine and prebiotics increases total body mass and reduces uremic toxins.给患有慢性肾病的猫喂食添加甜菜碱和益生元的食物可增加其总体体重并减少尿毒症毒素。
PLoS One. 2022 May 24;17(5):e0268624. doi: 10.1371/journal.pone.0268624. eCollection 2022.