TY - JOUR
T1 - Serum metabolomic alterations associated with proteinuria in CKD
AU - Chronic Kidney Disease Biomarkers Consortium Investigators
AU - Luo, Shengyuan
AU - Coresh, Josef
AU - Tin, Adrienne
AU - Rebholz, Casey M.
AU - Appel, Lawrence J.
AU - Chen, Jingsha
AU - Vasan, Ramachandran S.
AU - Anderson, Amanda H.
AU - Feldman, Harold I.
AU - Kimmel, Paul L.
AU - Waikar, Sushrut S.
AU - Köttgen, Anna
AU - Evans, Anne M.
AU - Levey, Andrew S.
AU - Inker, Lesley A.
AU - Sarnak, Mark J.
AU - Grams, Morgan Erika
N1 - Publisher Copyright:
© 2019 by the American Society of Nephrology.
PY - 2019/3/7
Y1 - 2019/3/7
N2 - Background and objectives Data are scarce on blood metabolite associations with proteinuria, a strong risk factor for adverse kidney outcomes. We sought to investigate associations of proteinuria with serum metabolites identified using untargeted profiling in populations with CKD. Design, setting, participants, & measurements Using stored serum samples from the African American Study of Kidney Disease and Hypertension (AASK; n=962) and the Modification of Diet in Renal Disease (MDRD) study (n=620), two rigorously conducted clinical trialswith per-protocol measures of 24-hour proteinuria and GFR, we evaluated cross-sectional associations between urine protein-to-creatinine ratio and 637 known, nondrug metabolites, adjusting for key clinical covariables. Metabolites significantly associated with proteinuria were tested for associations with CKD progression. Results In the AASK and the MDRD study, respectively, the median urine protein-to-creatinine ratio was 80 (interquartile range [IQR], 28-359) and 188 (IQR, 54-894)mg/g,mean agewas 56 and 52 years, 39%and 38%were women, 100%and 7%were black, andmedianmeasuredGFRwas 48 (IQR, 35-57) and 28 (IQR, 18-39)ml/min per 1.73m2. Linear regression identified 66 serummetabolites associatedwith proteinuria in one or both studies after Bonferroni correction (P<7.8×10-5), 58 of which were statistically significant in a meta-analysis (P<7.8×10-4). Themetaboliteswith the lowest P values (P<10-27)were 4-hydroxychlorthalonil and 1,5-anhydroglucitol; all six quantified metabolites in the phosphatidylethanolamine pathway were also significant. Of the 58 metabolites associated with proteinuria, four were associated with ESKD in both the AASK and the MDRD study. ConclusionsWeidentified 58 serummetaboliteswith cross-sectional associationswith proteinuria, some ofwhich were also associated with CKD progression.
AB - Background and objectives Data are scarce on blood metabolite associations with proteinuria, a strong risk factor for adverse kidney outcomes. We sought to investigate associations of proteinuria with serum metabolites identified using untargeted profiling in populations with CKD. Design, setting, participants, & measurements Using stored serum samples from the African American Study of Kidney Disease and Hypertension (AASK; n=962) and the Modification of Diet in Renal Disease (MDRD) study (n=620), two rigorously conducted clinical trialswith per-protocol measures of 24-hour proteinuria and GFR, we evaluated cross-sectional associations between urine protein-to-creatinine ratio and 637 known, nondrug metabolites, adjusting for key clinical covariables. Metabolites significantly associated with proteinuria were tested for associations with CKD progression. Results In the AASK and the MDRD study, respectively, the median urine protein-to-creatinine ratio was 80 (interquartile range [IQR], 28-359) and 188 (IQR, 54-894)mg/g,mean agewas 56 and 52 years, 39%and 38%were women, 100%and 7%were black, andmedianmeasuredGFRwas 48 (IQR, 35-57) and 28 (IQR, 18-39)ml/min per 1.73m2. Linear regression identified 66 serummetabolites associatedwith proteinuria in one or both studies after Bonferroni correction (P<7.8×10-5), 58 of which were statistically significant in a meta-analysis (P<7.8×10-4). Themetaboliteswith the lowest P values (P<10-27)were 4-hydroxychlorthalonil and 1,5-anhydroglucitol; all six quantified metabolites in the phosphatidylethanolamine pathway were also significant. Of the 58 metabolites associated with proteinuria, four were associated with ESKD in both the AASK and the MDRD study. ConclusionsWeidentified 58 serummetaboliteswith cross-sectional associationswith proteinuria, some ofwhich were also associated with CKD progression.
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U2 - 10.2215/CJN.10010818
DO - 10.2215/CJN.10010818
M3 - Article
C2 - 30733224
AN - SCOPUS:85062597009
SN - 1555-9041
VL - 14
SP - 342
EP - 353
JO - Clinical Journal of the American Society of Nephrology
JF - Clinical Journal of the American Society of Nephrology
IS - 3
ER -