Saggi Subodh J, Mercier Kelly, Gooding Jessica R, Friedman Eli, Vyas Usha, Ranganathan Natarajan, Ranganathan Pari, McRitchie Susan, Sumner Susan
Divisions of Nephrology and Transplantation, SUNY Downstate Medical Center, 450 Clarkson Ave., Brooklyn, NY 11203, USA.
NIH Eastern Regional Comprehensive Metabolomics Resource Core, RTI International, 3040 E Cornwallis Rd., Durham, NC 27709, USA.
Int J Probiotics Prebiotics. 2017;12(1):43-54. Epub 2017 Aug 21.
Persistent reduction in Glomerular Filtration Rate (GFR) is a hallmark of Chronic Kidney Disease (CKD) and is associated with an elevation of Blood Urea Nitrogen (BUN). This metabolomics pilot study sought to identify metabolites that differentiated patients with CKD whose BUN decreased on a probiotic and possible mechanisms.
Metabolomics was used to analyze baseline plasma samples previously diagnosed with CKD Stage III-IV. Patients had participated in a dose escalation study of the probiotic Renadyl™. A total of 24 samples were categorized depending on whether BUN increased or decreased from baseline after 4 months of probiotic use. Multivariate analysis was used to analyze the data and determine the metabolites that best differentiated the phenotypic groups. The sixteen patients who had a decrease in BUN were not significantly different based on demographic and clinical measures from those whose BUN increased or did not change with the exception of age. Eleven of the fourteen metabolites that differentiated the groups were known to be modulated by gut microflora, which may eventually provide a mechanistic link between probiotic and outcomes.
Metabolomics revealed metabolites at baseline that may predict individuals with CKD that would most benefit from a probiotics.
肾小球滤过率（GFR）持续降低是慢性肾脏病（CKD）的一个标志，并且与血尿素氮（BUN）升高相关。这项代谢组学初步研究旨在识别能够区分CKD患者中BUN在使用益生菌后降低的患者的代谢物以及可能的机制。
代谢组学用于分析先前诊断为CKD III-IV期患者的基线血浆样本。患者参与了益生菌Renadyl™的剂量递增研究。根据使用益生菌4个月后BUN相对于基线是升高还是降低，对总共24个样本进行分类。采用多变量分析来分析数据并确定最能区分表型组的代谢物。BUN降低的16名患者在人口统计学和临床指标方面与BUN升高或未变化的患者相比，除年龄外无显著差异。区分这些组别的14种代谢物中有11种已知受肠道微生物群调节，这最终可能在益生菌与结果之间提供一种机制联系。
代谢组学揭示了基线时的代谢物，这些代谢物可能预测哪些CKD个体将从益生菌中获益最大。
