Kouidhi Soumaya, Souai Nessrine, Alhujaily Muhanad, Zidi Oumaima, Kochbati Ameni, Redissi Alaeddine, Belali Tareg M, Kossai Imene El, El Manaa Jamelddine, Cherif Ameur, Mnif Wissem, Mosbah Amor
LBVBGR_LR11ES31, High Institute of Biotechnology of Sidi Thabet, University of Manouba, Ariana 2020, Tunisia.
Department of Clinical Laboratory, College of Applied Medicine, University of Bisha, P.O. Box 551, Bisha 61922, Saudi Arabia.
Diagnostics (Basel). 2021 May 26;11(6):962. doi: 10.3390/diagnostics11060962.
Metabolic alteration plays a functional role in kidney allograft complications. Metabolomics is a promising high-throughput approach in nephrology but is still limited by the lack of overlap in metabolite coverage. We performed an untargeted fecal metabolomic analysis of forty stable kidney allograft recipients and twenty non-transplant controls. First, we applied the ultra-high performance liquid chromatography (UHPLC) analysis coupled with the Diod Array detector. The potential biomarkers were then collected and identified by gas chromatography-mass spectrometry (GCMS). In order to allow for complete coverage of the fecal polar and non-polar metabolites, the performance of five organic solvents with increasing polarity was investigated successively. UHPLC analysis revealed that the fecal metabolite profiles following the five extractions were significantly different between controls and kidney allografts. GC-MS analysis showed that the best predictors' metabolites belonged mainly to long-chain fatty acids, phenolic compounds, and amino acids. Collectively, our results showed the efficiency of our pioneer method to successfully discriminate stable kidney-transplant recipients from controls. These findings suggest that distinct metabolic profiles mainly affect fatty acid biosynthesis and amino acid metabolism. In such a context, the novel insights into metabolomic investigation may be a valuable tool that could provide useful new relevant biomarkers for preventing kidney transplant complications.
代谢改变在肾移植并发症中发挥着功能性作用。代谢组学是肾脏病学中一种很有前景的高通量方法,但仍受代谢物覆盖范围缺乏重叠的限制。我们对40名稳定的肾移植受者和20名非移植对照者进行了非靶向粪便代谢组学分析。首先,我们应用超高效液相色谱(UHPLC)分析并结合二极管阵列检测器。然后通过气相色谱 - 质谱联用(GCMS)收集并鉴定潜在的生物标志物。为了全面覆盖粪便中的极性和非极性代谢物,我们依次研究了五种极性递增的有机溶剂的性能。UHPLC分析显示,对照者和肾移植受者在这五次提取后的粪便代谢物谱存在显著差异。GC - MS分析表明,最佳预测代谢物主要属于长链脂肪酸、酚类化合物和氨基酸。总体而言,我们的结果表明我们的开创性方法能够成功区分稳定的肾移植受者和对照者。这些发现表明,不同的代谢谱主要影响脂肪酸生物合成和氨基酸代谢。在这种情况下,代谢组学研究的新见解可能是一种有价值的工具,可以为预防肾移植并发症提供有用的新的相关生物标志物。