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View Board at the Johns Hopkins Bloom- Following Procedure Article Metabolomic Alterations Associated with Cause of CKD | Morgan E. Grams,*†‡ Adrienne Tin,†‡ Casey M. Rebholz,†‡ Tariq Shafi,*†‡ Anna Ko¨ttgen,†§ Ronald D. Perrone, | | | Mark J. Sarnak, Lesley A. Inker, Andrew S. Levey, and Josef Coresh†‡ Abstract Background and objectives Causes of CKD differ in prognosis and treatment. Metabolomic indicators of CKD cause may provide clues regarding the different physiologic processes underlying CKD development and progression. *Division of fi Nephrology, Design, setting, participants & measurements Metabolites were quanti ed from serum samples of participants in Department of the Modification of Diet in Renal Disease (MDRD) Study, a randomized controlled trial of dietary protein Medicine, and ‡Welch restriction and BP control, using untargeted reverse phase ultraperformance liquid chromatography tandem mass Center for Prevention, spectrometry quantification. Known, nondrug metabolites (n=687) were log-transformed and analyzed to Epidemiology, and Clinical Research, Johns discover associations with CKD cause (polycystic kidney disease, glomerular disease, and other cause). Discovery Hopkins University, was performed in Study B, a substudy of MDRD with low GFR (n=166), and replication was performed in Study Baltimore, Maryland; A, a substudy of MDRD with higher GFR (n=423). †Department of Epidemiology, Johns Hopkins Bloomberg Results Overall in MDRD, average participant age was 51 years and 61% were men. In the discovery study School of Public Health, (Study B), 29% of participants had polycystic kidney disease, 28% had glomerular disease, and 43% had CKD of Baltimore, Maryland; another cause; in the replication study (Study A), the percentages were 28%, 24%, and 48%, respectively. In §Institute of Genetic the discovery analysis, adjusted for demographics, randomization group, body mass index, hypertensive Epidemiology, Faculty of medications, measured GFR, log-transformed proteinuria, and estimated protein intake, seven metabolites Medicine and Medical Center, University of (16-hydroxypalmitate, kynurenate, homovanillate sulfate, N2,N2-dimethylguanosine, hippurate, homocitrul- Freiburg, Freiburg, | line, and 1,5-anhydroglucitol) were associated with CKD cause after correction for multiple comparisons Germany; and Division (P,0.0008). Five of these metabolite associations (16-hydroxypalmitate, kynurenate, homovanillate sulfate, N2, of Nephrology, N2-dimethylguanosine, and hippurate) were replicated in Study A (P,0.007), with all replicated metabolites Department of Medicine, Tufts Medical exhibiting higher levels in polycystic kidney disease and lower levels in glomerular disease compared with CKD Center, Tufts University of other causes. School of Medicine, Boston, Massachusetts Conclusions Metabolomic profiling identified several metabolites strongly associated with cause of CKD. Clin J Am Soc Nephrol 12: 1787–1794, 2017. doi: https://doi.org/10.2215/CJN.02560317 Correspondence: Dr. Morgan E. Grams, 2024 East Monument, Room 2-638, Introduction function affects many aspects of metabolic health, Baltimore, MD 21205. Different causes of CKD have different pathologic fi Email: mgrams2@ abnormal metabolomic pro les may mediate the path- jhmi.edu signatures, require different therapies, and progress at ogenesis and prognosis of CKD (10–12). Metabolites that different rates (1,2). Because of these health implica- differ according to CKD cause above and beyond level of tions, the 2012 Kidney Disease: Improving Global GFR, proteinuria, diet, and medication use may provide Outcomes guideline for the evaluation and manage- novel, disease-specific treatment targets or the potential ment of CKD recommended incorporating cause of for early, noninvasive diagnostic techniques. CKD along with level of GFR and albuminuria in CKD Designed as a two-by-two factorial randomized clinical staging (2). Polycystic kidney disease (PKD) in partic- trial in two substudies, the Modification of Diet in Renal ular is characterized by a relentless decline in GFR, Disease (MDRD) Study is a unique population of with few effective therapies available (3). Recently, im- patients with expert-adjudicated cause of CKD, care- pairment in distinct metabolic processes such as fatty fully monitored protein intake, and measured GFR acid oxidation has been hypothesized as a factor in using urinary iothalamate clearance (13). Using global PKD pathogenesis and progression (4). metabolomic profiling of stored serum, we investi- Metabolite profiling, or an unbiased assessment of gated the associations of individual metabolites with small molecules in a biologic specimen, has recently CKD cause, classified as PKD, glomerular disease, been applied to studies of prognosis in CKD (5–9). A and CKD of other cause, excluding CKD attributed to metabolomic approach quantifies low–molecular diabetes mellitus. We used the smaller MDRD sub- weight biomarkers influenced by genetic variation, study (Study B) for discovery and the larger MDRD diet, medications, a person’s microbiome, liver func- substudy (Study A) for replication of metabolite tion,and,particularlyinCKD,GFR.Becausekidney associations with cause of CKD. www.cjasn.org Vol 12 November, 2017 Copyright © 2017 by the American Society of Nephrology 1787 1788 Clinical Journal of the American Society of Nephrology Materials and Methods 687 named compounds within 79 pathways were analyzed Study Population (Supplemental Appendix 2). Per protocol, metabolite The MDRD Study was a clinical trial of dietary protein values are normalized by run-day using spiked quality restriction and BP target implemented in a two-by-two- control standards to allow chromatographic alignment, factorial design (13). The trial was composed of two then divided by the median value of the metabolite (7). substudies on the basis of enrollment GFR: study A Missing values were imputed with the minimum value. consisted of patients with GFR between 25 and 55 ml/ All metabolites were log-transformed, after which 84.9% min per 1.73 m2, and study B consisted of patients with had a skewness between 21and1. GFR between 13 and 24 ml/min per 1.73 m2.StudyA randomized patients to usual protein diet or a low-protein Statistical Analyses diet (1.3 or 0.58 g of protein per kilogram of body weight Patient characteristics at the 12-month clinical visit were per day, respectively), and study B randomized patients compared by CKD cause using chi-squared, Kruskal– to a low-protein diet or a very low–protein diet with ketoacid Wallis, or t tests, as appropriate. To determine metabolites and amino acid supplementation (0.58 and 0.28 g/kg per associated with cause of CKD, linear regression was used, day, respectively). Both studies randomized patients to regressing log-transformed metabolites (dependent vari- usual versus low target BP. A heterogeneous group of able) on nonordered categoric cause of CKD (independent patients was recruited into the trial, with noteworthy variable), with adjustment for the following potential exclusions being patients with diabetes mellitus treated confounders: race, age, sex, log-transformed GFR measured with insulin and kidney transplant recipients; all partici- by urinary clearance of 125I-iothalamate, log-transformed pants provided informed consent. For the purpose of this total proteinuria, body mass index, diet randomization study, we selected stored serum samples from the 12-month group, BP randomization group, estimated protein intake, visit, 1 year after randomization. There were 697 MDRD diastolic BP, and angiotensin-converting enzyme inhibitor participants with sufficient serum at this visit for metab- and b blocker use, with the last three variables chosen due to olomic profiling. Of these, 19 were missing concomitant significant differences in baseline values by cause of disease. measured GFR, 27 were missing body mass index or Each analysis was performed separately in the discovery estimated protein intake, and an additional 62 had a cause study (study B) and replication study (study A). of disease distinct from the selected causes described below The threshold for statistical significance accounted for (e.g., diabetic nephropathy). This study was approved by multiple testing and intrametabolite correlation using the the institutional review board at the Johns Hopkins Bloom- following procedure. The 687 metabolites were included berg School of Public Health (Baltimore, MD) and is adher- in a principal component analysis, where 63 principal ent to the Declaration of Helsinki. components explained 90% of the metabolite variance. Statistical significance was thus set in the discovery cohort as a P value ,0.0008 (0.05 of 63 principal components) (17). Classification of Kidney Disease In the replication cohort, the threshold for statistical Cause of disease was classified as PKD, glomerular significance was set using a Bonferroni P value of ,0.007 disease, or CKD of other cause (interstitial nephritis, ves- (0.05 of 7, where 7 was the number of metabolites tested). icoureteral reflux, hypertensive nephropathy, single kidney, For metabolites significantly associated with cause of disease, and unknown), as adjudicated by experts (Supplemental we evaluated correlations with measured GFR and gener- Table 1) (14). To minimize overlap between CKD of other ated residuals from linear regression of metabolites on the cause and glomerular disease, patients adjudicated to CKD above covariates without adjusting for cause of CKD, and of other cause who had preadjudication diagnoses of focal estimated the Spearman correlations of
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