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基于非靶向和靶向质谱代谢组学方法揭示的猫肥胖症的代谢谱

Metabolic Profiles of Feline Obesity Revealed by Untargeted and Targeted Mass Spectrometry-Based Metabolomics Approaches.

作者信息

Barić Rafaj Renata, Rubić Ivana, Kuleš Josipa, Prišćan Dominik, Muñoz-Prieto Alberto, Gotić Jelena, Ećimović Luka, Kučer Nada, Samardžija Marko, Kovačić Mislav, Mrljak Vladimir

机构信息

Department of Chemistry and Biochemistry, Faculty of Veterinary Medicine, University of Zagreb, 10000 Zagreb, Croatia.

Laboratory of Proteomics, Clinic for Internal Diseases, Faculty of Veterinary Medicine, University of Zagreb, 10000 Zagreb, Croatia.

出版信息

Vet Sci. 2025 Jul 25;12(8):697. doi: 10.3390/vetsci12080697.

DOI:10.3390/vetsci12080697
PMID:40872649
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390338/
Abstract

Obesity is currently one of the major medical problems affecting humans and companion animals, including cats; however, a detailed understanding of the metabolic processes altered in feline obesity remains limited. This study aimed to investigate obesity-related changes in the serum metabolome of three groups of cats, metabolically healthy normal-weight (MHN) cats, metabolically healthy overweight (MHO) cats, and metabolically unhealthy overweight (MUO) cats. Metabolome changes were assessed using LC-MS (untargeted), LC-MS (targeted), and FIA-MS (targeted) methods. Untargeted analysis detected 141 significant annotated features, while targeted approach identified 48 metabolites significantly associated with obesity. Both untargeted and targeted analyses showed lower kynurenine levels in the MUO group compared to the MHN group. Targeted LC-MS analysis identified 11 significant metabolites, whereas the FIA-MS approach detected 37. Four metabolites-glycine, citrulline, and two phosphatidylcholines-were found at lower levels in the MHO group compared to the MHN group. Arginine and proline metabolism, along with methionine metabolism, were significantly altered pathways, while thyroid hormone synthesis was independently altered with the highest enrichment ratio. The obtained results suggest that cats with a healthy phenotype exhibit an intermediate-metabolic-risk profile and provide new insights into the metabolic mechanisms and pathways underlying feline obesity.

摘要

肥胖是目前影响人类和伴侣动物(包括猫)的主要医学问题之一;然而,对猫肥胖中代谢过程改变的详细了解仍然有限。本研究旨在调查三组猫(代谢健康的正常体重 [MHN] 猫、代谢健康的超重 [MHO] 猫和代谢不健康的超重 [MUO] 猫)血清代谢组中与肥胖相关的变化。使用液相色谱 - 质谱联用(非靶向)、液相色谱 - 质谱联用(靶向)和流动注射分析 - 质谱联用(靶向)方法评估代谢组变化。非靶向分析检测到141个显著注释特征,而靶向方法鉴定出48种与肥胖显著相关的代谢物。非靶向和靶向分析均显示,与MHN组相比,MUO组的犬尿氨酸水平较低。靶向液相色谱 - 质谱分析鉴定出11种显著代谢物,而流动注射分析 - 质谱联用方法检测到37种。与MHN组相比,在MHO组中发现四种代谢物(甘氨酸、瓜氨酸和两种磷脂酰胆碱)水平较低。精氨酸和脯氨酸代谢以及蛋氨酸代谢是显著改变的途径,而甲状腺激素合成以最高富集率独立改变。所得结果表明,具有健康表型的猫表现出中等代谢风险特征,并为猫肥胖的代谢机制和途径提供了新的见解。

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本文引用的文献

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Metabolites. 2024 Aug 21;14(8):464. doi: 10.3390/metabo14080464.
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Metabolome Profiling in the Plasma of Dogs with Idiopathic Dilated Cardiomyopathy: A Multiplatform Mass-Spectrometry-Based Approach.应用多平台质谱技术对特发性扩张型心肌病犬血浆代谢组学进行分析。
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Thyroid cancers potentially preventable by reducing overweight and obesity in Australia: A pooled cohort study.
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Combined Untargeted and Targeted Metabolomics Approaches Reveal Urinary Changes of Amino Acids and Energy Metabolism in Canine Babesiosis With Different Levels of Kidney Function.联合非靶向和靶向代谢组学方法揭示不同肾功能水平犬巴贝斯虫病中氨基酸和能量代谢的尿液变化。
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Obesity and Thyroid Axis.肥胖与甲状腺轴。
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Lipidomic Signatures of Changes in Adiposity: A Large Prospective Study of 5849 Adults from the Australian Diabetes, Obesity and Lifestyle Study.肥胖变化的脂质组学特征:对澳大利亚糖尿病、肥胖与生活方式研究中5849名成年人的大型前瞻性研究。
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Effects of Weight Loss and Moderate-Protein, High-Fiber Diet Consumption on the Fasted Serum Metabolome of Cats.减肥以及食用中等蛋白质、高纤维饮食对猫空腹血清代谢组的影响。
Metabolites. 2021 May 18;11(5):324. doi: 10.3390/metabo11050324.
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Plasma Metabolomic Profiling in 1391 Subjects with Overweight and Obesity from the SPHERE Study.来自SPHERE研究的1391名超重和肥胖受试者的血浆代谢组学分析
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Serum symmetric dimethylarginine shows a relatively consistent long-term concentration in healthy dogs with a significant effect of increased body fat percentage.血清对称二甲基精氨酸在健康犬中表现出相对稳定的长期浓度,且体脂肪百分比的增加有显著影响。
PLoS One. 2021 Feb 17;16(2):e0247049. doi: 10.1371/journal.pone.0247049. eCollection 2021.
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