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面向未来营养靶点的兽医学与多组学研究:犬常见退行性二尖瓣疾病的代谢组学与转录组学

Veterinary Medicine and Multi-Omics Research for Future Nutrition Targets: Metabolomics and Transcriptomics of the Common Degenerative Mitral Valve Disease in Dogs.

作者信息

Li Qinghong, Freeman Lisa M, Rush John E, Huggins Gordon S, Kennedy Adam D, Labuda Jeffrey A, Laflamme Dorothy P, Hannah Steven S

机构信息

1 Nestlé Purina Research , Saint Louis, Missouri.

2 Cummings School of Veterinary Medicine, Tufts University , North Grafton, Massachusetts.

出版信息

OMICS. 2015 Aug;19(8):461-70. doi: 10.1089/omi.2015.0057. Epub 2015 Jul 8.

Abstract

Canine degenerative mitral valve disease (DMVD) is the most common form of heart disease in dogs. The objective of this study was to identify cellular and metabolic pathways that play a role in DMVD by performing metabolomics and transcriptomics analyses on serum and tissue (mitral valve and left ventricle) samples previously collected from dogs with DMVD or healthy hearts. Gas or liquid chromatography followed by mass spectrophotometry were used to identify metabolites in serum. Transcriptomics analysis of tissue samples was completed using RNA-seq, and selected targets were confirmed by RT-qPCR. Random Forest analysis was used to classify the metabolites that best predicted the presence of DMVD. Results identified 41 known and 13 unknown serum metabolites that were significantly different between healthy and DMVD dogs, representing alterations in fat and glucose energy metabolism, oxidative stress, and other pathways. The three metabolites with the greatest single effect in the Random Forest analysis were γ-glutamylmethionine, oxidized glutathione, and asymmetric dimethylarginine. Transcriptomics analysis identified 812 differentially expressed transcripts in left ventricle samples and 263 in mitral valve samples, representing changes in energy metabolism, antioxidant function, nitric oxide signaling, and extracellular matrix homeostasis pathways. Many of the identified alterations may benefit from nutritional or medical management. Our study provides evidence of the growing importance of integrative approaches in multi-omics research in veterinary and nutritional sciences.

摘要

犬退行性二尖瓣疾病(DMVD)是犬类心脏病最常见的形式。本研究的目的是通过对先前从患有DMVD或健康心脏的犬只采集的血清和组织(二尖瓣和左心室)样本进行代谢组学和转录组学分析,来确定在DMVD中起作用的细胞和代谢途径。采用气相或液相色谱-质谱联用技术鉴定血清中的代谢物。使用RNA测序完成组织样本的转录组学分析,并通过RT-qPCR确认选定的靶点。采用随机森林分析对最能预测DMVD存在的代谢物进行分类。结果确定了41种已知和13种未知的血清代谢物,在健康犬和患有DMVD的犬之间存在显著差异,这代表了脂肪和葡萄糖能量代谢、氧化应激及其他途径的改变。在随机森林分析中具有最大单一效应的三种代谢物是γ-谷氨酰甲硫氨酸、氧化型谷胱甘肽和不对称二甲基精氨酸。转录组学分析在左心室样本中鉴定出812个差异表达的转录本,在二尖瓣样本中鉴定出263个,这代表了能量代谢、抗氧化功能、一氧化氮信号传导和细胞外基质稳态途径的变化。许多已确定的改变可能受益于营养或药物管理。我们的研究证明了综合方法在兽医和营养科学多组学研究中的重要性日益增加。

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