Department of Medicine, Division of Nephrology, University of Washington, Seattle, Washington.
Kidney Research Institute, Seattle, Washington.
Kidney360. 2023 Jan 1;4(1):23-31. doi: 10.34067/KID.0004172022.
The proximal tubules eliminate protein-bound toxins and drugs through secretion. Measurements or estimates of GFR do not necessarily reflect the physiologically distinct process of secretion. Clinical assessment of this important intrinsic kidney function requires endogenous markers that are highly specific for secretory transport.
We used metabolomics profiling to identify candidate markers of tubular secretory clearance in 50 participants from a kidney pharmacokinetics study. We measured metabolites in three sequential plasma samples and a concurrent 10-hour timed urine sample using hydrophilic interaction liquid chromatography/high-resolution mass spectrometry. We quantified the association between estimated kidney clearance and normalized plasma peak height of each candidate solute to the clearance of administered furosemide, a protein-bound, avidly secreted medication.
We identified 528 metabolites present in plasma and urine, excluding pharmaceuticals. We found seven highly (>50%) protein-bound and 49 poorly bound solutes with clearances significantly associated with furosemide clearance and 18 solute clearances favoring an association with furosemide clearance by the 90th percentile compared with GFR. We also found four highly bound and 42 poorly bound plasma levels that were significantly associated with furosemide clearance.
We found several candidate metabolites whose kidney clearances or relative plasma levels are highly associated with furosemide clearance, an avidly secreted tracer medication of the organic anion transporters, highlighting their potential as endogenous markers of proximal tubular secretory clearance.
近端肾小管通过分泌作用消除蛋白结合毒素和药物。肾小球滤过率(GFR)的测量或估计不一定反映分泌作用这一独特的生理过程。这种重要的内在肾脏功能的临床评估需要高度特异的用于分泌转运的内源性标志物。
我们使用代谢组学分析来鉴定 50 名来自肾脏药代动力学研究的参与者的管状分泌清除的候选标志物。我们使用亲水相互作用液相色谱/高分辨率质谱法在三个连续的血浆样本和同时进行的 10 小时时间尿液样本中测量代谢物。我们量化了候选溶质的估计肾脏清除率与每个候选溶质的归一化血浆峰高与给予呋塞米(一种蛋白结合的、强烈分泌的药物)的清除率之间的关联。
我们在血浆和尿液中鉴定出 528 种除药物以外的代谢物。我们发现了 7 种高度(>50%)蛋白结合和 49 种低蛋白结合的溶质,它们的清除率与呋塞米的清除率显著相关,并且有 18 种溶质的清除率有利于通过 90%百分位数与呋塞米清除率的关联,而不是肾小球滤过率。我们还发现了 4 种高度结合和 42 种低蛋白结合的血浆水平与呋塞米清除率显著相关。
我们发现了一些候选代谢物,它们的肾脏清除率或相对血浆水平与呋塞米清除率高度相关,呋塞米是有机阴离子转运体的强烈分泌示踪剂,这突出了它们作为近端肾小管分泌清除的内源性标志物的潜力。