Urine tricarboxylic acid cycle signatures of early-stage diabetic kidney disease

被引:11
作者
Lunyera, Joseph [1 ]
Diamantidis, Clarissa J. [1 ,2 ]
Bosworth, Hayden B. [1 ,2 ,3 ]
Patel, Uptal D. [1 ,4 ]
Bain, James [1 ,5 ]
Muehlbauer, Michael J. [5 ]
Ilkayeva, Olga [1 ,5 ]
Nguyen, Maggie [5 ]
Sharma, Binu [6 ]
Ma, Jennie Z. [7 ]
Shah, Svati H. [1 ,5 ,8 ]
Scialla, Julia J. [6 ,7 ,9 ]
机构
[1] Duke Univ, Sch Med, Dept Med, Durham, NC 27706 USA
[2] Duke Univ, Sch Med, Dept Populat Hlth Sci, Durham, NC USA
[3] Durham Vet Affairs Med Ctr, Ctr Innovat Accelerate Discovery & Practice Trans, Durham, NC USA
[4] AstraZeneca, Gaithersburg, MD USA
[5] Duke Univ, Duke Mol Physiol Inst, Sch Med, Durham, NC USA
[6] Univ Virginia, Sch Med, Dept Med, Charlottesville, VA 22908 USA
[7] Univ Virginia, Sch Med, Dept Publ Hlth Sci, Charlottesville, VA 22908 USA
[8] Duke Univ, Duke Clin Res Inst, Sch Med, Durham, NC USA
[9] Univ Virginia, Sch Med, Div Nephrol, Box 800133, Charlottesville, VA 22908 USA
关键词
Diabetic kidney disease; Urine metabolites; TCA cycle; GLUCOSE; METABOLOMICS; METABOLITES; EXCRETION; RISK; CKD;
D O I
10.1007/s11306-021-01858-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Urine tricarboxylic acid (TCA) cycle organic anions (OAs) are elevated in diabetes and may be biomarkers for diabetic kidney disease (DKD) progression. Objectives We assessed associations of 10 urine TCA cycle OAs with estimated glomerular filtration rate (eGFR) and eGFR slope. Methods This study is ancillary to the Simultaneous Risk Factor Control Using Telehealth to SlOw Progression of Diabetic Kidney Disease (STOP-DKD) Trial-a randomized trial of pharmacist-led medication and behavior management in 281 patients with early to moderate DKD at Duke from 2014 to 2015. We used linear mixed models to assess associations of urine TCA cycle OAs with outcomes and modelled TCA cycle OAs as: (1) the average of z-scores for each OA; and (2) principal component (PC) scores derived by principal component analysis (PCA). Untargeted urine metabolomics were added for additional discovery. Results Among 132 participants with 24 h urine samples (50% men; 58% Black; mean age 64 years [SD 9]; mean eGFR 74 ml/min/1.73m(2) [SD 21] and median urine albumin-to-creatinine [UACR] 20 mg/g [IQR 8-95]), PCA identified 3 OA metabolite PCs. Malate, fumarate, pyruvate, alpha-ketoglutarate, lactate, succinate and citrate/isocitrate loaded positively on PC1; methylsuccinate, ethylmalonate and succinate loaded positively on PC2; and methylmalonate, ethylmalonate and citrate/isocitrate loaded negatively on PC3. Over a median follow-up of 1.8 years (IQR, 1.2 to 2.2), higher average OA z-score was strongly associated with higher eGFR after covariate adjustment (p = 0.01), but not with eGFR slope (p = 0.9). Higher PC3, but not other PCs, was associated with lower eGFR (p < 0.001). Conditional random forests and smooth clipped absolute deviation models confirmed methylmalonate, citrate/isocitrate, and ethylmalonate, and added lactate as top ranked metabolites in models of baseline eGFR (R-squared 0.32 and 0.33, respectively). Untargeted urine metabolites confirmed association of urine TCA cycle OAs with kidney function. Conclusion Thus, lower urine TCA cycle OAs, most notably lower methylmalonate, ethylmalonate and citrate/isocitrate, are potential indicators of kidney impairment in early stage DKD.
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页数:12
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