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Unique metabolomic signature associated with hepatorenal dysfunction and mortality in cirrhosis

机译:与肝硬化的肝肾功能障碍和死亡率有关的独特代谢组特征

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摘要

The application of nontargeted metabolomic profiling has recently become a powerful noninvasive tool to discover new clinical biomarkers. This study aimed to identify metabolic pathways that could be exploited for prognostic and therapeutic purposes in hepatorenal dysfunction in cirrhosis. One hundred three subjects with cirrhosis had glomerular filtration rate (GFR) measured using iothalamate plasma clearance, and were followed until death, transplantation, or the last encounter. Concomitantly, plasma metabolomic profiling was performed using ultrahigh performance liquid chromatography-tandem mass spectrometry to identify preliminary metabolomic biomarker candidates. Among the 1028 metabolites identified, 34 were significantly increased in subjects with high liver and kidney disease severity compared with those with low liver and kidney disease severity. The highest average fold-change (2.39) was for 4-acetamidobutanoate. Metabolite-based enriched pathways were significantly associated with the identified metabolomic signature (Pvalues ranged from 2.07E?06 to 0.02919). Ascorbate and aldarate metabolism, methylation, and glucuronidation were among the most significant protein-based enriched pathways associated with this metabolomic signature (Pvalues ranged from 1.09E?18 to 7.61E?05). Erythronate had the highest association with measured GFR (R-square?=?0.571,P?<0.0001). Erythronate (R?=?0.594,P?<0.0001) and N6-carbamoylthreonyladenosine (R?=?0.591,P?<0.0001) showed stronger associations with measured GFR compared with creatinine (R?=?0.588,P?<0.0001) even after controlling for age, gender, and race. The 5 most significant metabolites that predicted mortality independent of kidney disease and demographics were S-adenosylhomocysteine (P?=?0.0003), glucuronate (P?=?0.0006), trans-aconitate (P?=?0.0018), 3-ureidopropionate (P?=?0.0021), and 3-(4-hydroxyphenyl)lactate (P?=?0.0047). A unique metabolomic signature associated with hepatorenal dysfunction in cirrhosis was identified for further investigations that provide potentially important mechanistic insights into cirrhosis-altered metabolism.
机译:Nontargeted代谢物分析的应用最近成为发现新的临床生物标志物的强大的非侵入性工具。该研究旨在鉴定代谢途径,可用于肝硬化中肝脏功能障碍中的预后和治疗目的。肝硬化的一百三个受试者具有使用Iothalamate等离子体间隙测量的肾小球过滤速率(GFR),并进行直到死亡,移植或最后一次遭遇。同时,使用超高性能液相色谱 - 串联质谱法进行血浆代谢物分析,以鉴定初步​​代谢生物标志物候选物。在鉴定的1028个代谢物中,与肝肾疾病严重程度低的肝肾疾病严重程度的受试者中,34种受试者显着增加。最高的平均折叠变化(2.39)适用于4-乙酰氨基丁酸酯。基于代谢物的富集途径与已鉴定的代谢组签名显着相关(PValues从2.07eΔ06到0.02919)。抗坏血酸和罕见的代谢,甲基化和葡糖醛化是与这种代谢组签名相关的最重要的蛋白质富集途径(pValues从1.09e?18-7.61e?05)。 erythronate与测量的GFR有最高的关联(R-Square?=?0.571,P?<0.0001)。红星(R?= 0.594,P?<0.0001)和N6-克拉酰基蒽基喹啉(R?= 0.591,P?<0.0001)显示与肌酐相比测量的GFR的更强的关联(R?= 0.588,P?<0.0001)即使在控制年龄,性别和种族之后。预测肾病和人口统计学独立于死亡率的5个最重要的代谢产物是S-腺眼囊肌细胞(P?= 0.0003),葡萄糖酸盐(P?= 0.0006),反焦焦酸(P?= 0.0018),3- ureidProilate( p?= 0.0021)和3-(4-羟基苯基)乳酸(p?= 0.0047)。鉴定了与肝硬化肝硬化肝功能障碍相关的独特的代谢组特征,以进一步调查,为肝硬化改变的代谢提供潜在的重要机制见解。

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    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Department of Medicine Section of Gastroenterology and Hepatology Baylor College of Medicine;

    Department of Molecular and Cellular Biology Baylor College of Medicine;

    Clinical Chemistry and Point of Care Technology Texas Children's Hospital and Health Centers;

    Department of Medicine Division of Nephrology Baylor College of Medicine;

    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Michael E. DeBakey Department of Surgery Division of Abdominal Transplantation Baylor College of;

    Department of Medicine Division of Nephrology Tufts Medical Center;

    Metabolon Inc;

    Institute for Clinical Research and Health Policy Studies Biostatistics Epidemiology and Research;

    Department of Pathology University of Maryland School of Medicine;

    Ferris State University College of Pharmacy;

    Department of Medicine Division of Nephrology University of Maryland School of Medicine;

    Department of Medicine Division of Nephrology University of Maryland School of Medicine;

    Department of Medicine Division of Gastroenterology and Hepatology University of Maryland School;

    Department of Medicine Howard University College of Medicine;

    Department of Medicine Division of Gastroenterology and Hepatology University of Maryland School;

    Department of Epidemiology and Public Health Division of Biostatistics and Bioinformatics;

    Department of Molecular and Cellular Biology Baylor College of Medicine;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医药、卫生;
  • 关键词

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