Gene–metabolite–cardiac associations in the Chronic Kidney Disease in Children (CKiD) study

Abstract Background Characterizing gene–metabolite–cardiac associations in childhood chronic kidney disease (CKD) has the potential to identify new research directions or therapeutic targets for mitigating the excessive cardiovascular risk in childhood CKD. Methods The Chronic Kidney Disease in Children (CKiD) is a prospective cohort that recruited children with eGFR 30–90 ml/min/1.73 m 2 across 54 North American centers. Predictor and outcome variables included genotypes, metabolite levels, left ventricular mass index (LVMI) z-score, and left ventricular filling pressure (E/e’). Multivariable linear regression analyses assessed metabolite associations with either LVMI z-score or E/e’, adjusting for age, sex, CKD duration, glomerular etiology, renin-angiotensin-aldosterone-system blockade, hypertension, anemia, dyslipidemia, eGFR, and proteinuria. Significance was based on the Benjamini–Hochberg False Discovery Rate <0.05. Metabolites associated with cardiac markers were carried forward for a metabolite–genome-wide association study (mGWAS). Linear regression calculated the residual metabolite variability not explained by age, sex, and eGFR. Linear regression assessed metabolite residual variability versus genetic variant dosage at the Bonferroni-corrected genome-wide significance threshold (corrected for number of metabolites assessed). Results 556 unique participants with 574 metabolites and ~8.4 million SNPs were included. Sphingomyelin (d18:2/d18:1) and hypotaurine were associated with LVMI z-score. Isobutyrylglycine and 3beta-hydroxy-5-cholestenoate were associated with E/e’. Multiple genetic variants associated with these metabolites at p < 1.25E-8 ( p < [5E-8]/4, Bonferroni-corrected genome-wide significance threshold). Conclusions We identified metabolites associated with cardiac markers in children with CKD. We identified genetic associations with variability in these metabolites. Collectively, these gene–metabolite associations suggest roles for inflammation, increased oxidative stress, mitochondrial and energy dysmetabolism, and gut microbial dysbiosis in mediating cardiac pathology in childhood CKD.

Authors

Publication Details

Journal
Pediatric Nephrology
Published
2026-11-05
DOI
https://doi.org/10.1007/s00467-026-07589-9
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Gene–metabolite–cardiac associations in the Chronic Kidney Disease in Children (CKiD) study

Ramachandran Srini Vasan, Joseph T. Flynn, Jennifer Roem, Mark M. Mitsnefes et al.
Pediatric Nephrology
Chronic Kidney Disease and Diabetes
article

Gene–metabolite–cardiac associations in the Chronic Kidney Disease in Children (CKiD) study

Ramachandran Srini Vasan, Joseph T. Flynn, Jennifer Roem, Mark M. Mitsnefes, Michael March, Eugene P. Rhee, Bradley A. Warady, Morgan Erika Grams, Aditya Surapaneni, Michelle Denburg, Pascal Schlosser, Arthur M. Lee, Susan L. Furth, Hakon H. Hakonarson, Paul L. Kimmel, Craig Stephen Wong, On behalf of the CKiD Study Investigators, Rui Xiao
article en

Abstract

Abstract Background Characterizing gene–metabolite–cardiac associations in childhood chronic kidney disease (CKD) has the potential to identify new research directions or therapeutic targets for mitigating the excessive cardiovascular risk in childhood CKD. Methods The Chronic Kidney Disease in Children (CKiD) is a prospective cohort that recruited children with eGFR 30–90 ml/min/1.73 m 2 across 54 North American centers. Predictor and outcome variables included genotypes, metabolite levels, left ventricular mass index (LVMI) z-score, and left ventricular filling pressure (E/e’). Multivariable linear regression analyses assessed metabolite associations with either LVMI z-score or E/e’, adjusting for age, sex, CKD duration, glomerular etiology, renin-angiotensin-aldosterone-system blockade, hypertension, anemia, dyslipidemia, eGFR, and proteinuria. Significance was based on the Benjamini–Hochberg False Discovery Rate <0.05. Metabolites associated with cardiac markers were carried forward for a metabolite–genome-wide association study (mGWAS). Linear regression calculated the residual metabolite variability not explained by age, sex, and eGFR. Linear regression assessed metabolite residual variability versus genetic variant dosage at the Bonferroni-corrected genome-wide significance threshold (corrected for number of metabolites assessed). Results 556 unique participants with 574 metabolites and ~8.4 million SNPs were included. Sphingomyelin (d18:2/d18:1) and hypotaurine were associated with LVMI z-score. Isobutyrylglycine and 3beta-hydroxy-5-cholestenoate were associated with E/e’. Multiple genetic variants associated with these metabolites at p < 1.25E-8 ( p < [5E-8]/4, Bonferroni-corrected genome-wide significance threshold). Conclusions We identified metabolites associated with cardiac markers in children with CKD. We identified genetic associations with variability in these metabolites. Collectively, these gene–metabolite associations suggest roles for inflammation, increased oxidative stress, mitochondrial and energy dysmetabolism, and gut microbial dysbiosis in mediating cardiac pathology in childhood CKD.

Pediatric Nephrology
Openalex Percentile: Top 13%
Chronic Kidney Disease and Diabetes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon