Identification of altered metabolites in Rheumatic Heart Disease patients with atrial fibrillation and normal sinus rhythm using untargeted LC-MS metabolomics.
S Das, S Shruti, Y Kumar, S Gupta, A Jayamon, Srishty, G Sharma
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引用次数: 0
Abstract
Introduction & objective: Rheumatic Heart Disease (RHD) is the commonest cause of atrial fibrillation (AF) in India with higher prevalence in younger population. The clinical significance of the differential metabolites in RHD patients with AF is unknown. This is a tertiary hospital-based study aimed to discover the metabolites associated with AF and normal sinus rhythm (NSR) in RHD patients using untargeted LCMS approach.
Methods: In this case control study, a total of 87 patients (38 persistent AF and 49 NSR) were incorporated after screening, including 12-lead ECG (electrocardiogram), 2D Echo (two-dimensional echocardiography) and a 24-hr Holter examination for NSR patients to exclude silent AF. Blood samples were collected and differentially expressed metabolites were identified using untargeted LCMS approach.
Results: All the patients of our study belong to NYHA (New York Heart Association) classes II and III. The number of female patients was more in both groups. The mean age of the patients was 35.81 ± 7.96 and 29.61 ± 8.18 year in AF and NSR group respectively. 33 metabolites showed significantly altered expression - 15 upregulated and 18 down regulated metabolites. Pathway analysis showed that the altered metabolites were involved in Arginine, Phenylalanine tyrosine and tryptophan biosynthesis, D-Glutamine and D-glutamate, Alanine aspartate and glutamate metabolism, Arginine and proline metabolism.
Conclusions: The findings suggest that differential metabolites in RHD patients may help in identifying the high-risk group and possible therapeutic targets.
介绍与目的:风湿性心脏病(RHD)是印度心房颤动(AF)最常见的原因,在年轻人群中患病率较高。RHD合并房颤患者差异代谢物的临床意义尚不清楚。这是一项基于三级医院的研究,旨在通过非靶向LCMS方法发现与房颤和正常窦性心律(NSR)相关的代谢物。方法:在本病例对照研究中,筛选后共纳入87例患者(38例持续性房颤和49例非NSR),包括12导联心电图(心电图)、二维超声心动图(二维超声心动图)和NSR患者24小时动态心电图检查,以排除无症状房颤。收集血样,采用非靶向LCMS方法鉴定差异表达的代谢物。结果:本组患者均属于NYHA (New York Heart Association) II级和III级。两组患者中女性患者较多。AF组和NSR组患者的平均年龄分别为35.81±7.96岁和29.61±8.18岁。33种代谢物表达显著改变,其中15种代谢物表达上调,18种代谢物表达下调。途径分析表明,改变的代谢物参与了精氨酸、苯丙氨酸酪氨酸和色氨酸的生物合成、d -谷氨酰胺和d -谷氨酸、丙氨酸天冬氨酸和谷氨酸的代谢、精氨酸和脯氨酸的代谢。结论:研究结果提示,RHD患者的代谢物差异可能有助于确定高危人群和可能的治疗靶点。
期刊介绍:
Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to:
metabolomic applications within man, including pre-clinical and clinical
pharmacometabolomics for precision medicine
metabolic profiling and fingerprinting
metabolite target analysis
metabolomic applications within animals, plants and microbes
transcriptomics and proteomics in systems biology
Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.