Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD

Author:

Lee Arthur M.1ORCID,Xu Yunwen2ORCID,Hooper Stephen R.3ORCID,Abraham Alison G.4ORCID,Hu Jian5ORCID,Xiao Rui67,Matheson Matthew B.2,Brunson Celina8,Rhee Eugene P.910ORCID,Coresh Josef211ORCID,Vasan Ramachandran S.1213ORCID,Schrauben Sarah1415ORCID,Kimmel Paul L.16,Warady Bradley A.1718,Furth Susan L.1151920,Hartung Erum A.121,Denburg Michelle R.11520,

Affiliation:

1. Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania

2. Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland

3. Department of Health Sciences, School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina

4. Department of Epidemiology, Colorado University School of Public Health, Aurora, Colorado

5. Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia

6. Children's Hospital of Philadelphia, Philadelphia, Pennsylvania

7. Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania

8. Division of Nephrology, Children's National Hospital, Washington, DC

9. Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts

10. Harvard School of Medicine, Boston, Massachusetts

11. Johns Hopkins University School of Medicine, Baltimore, Maryland

12. Boston University School of Medicine, Boston, Massachusetts

13. Boston University School of Public Health, Boston, Massachusetts

14. Perelman School of Medicine at the University of Pennsylvania, Department of Medicine and Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, Pennsylvania

15. Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania

16. Division of Kidney, Urologic, and Hematologic Diseases, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland

17. Division of Nephrology, Children's Mercy Kansas City, Kansas City, Missouri

18. University of Missouri-Kansas City School of Medicine, Kansas City, Missouri

19. Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania

20. Perelman School of Medicine at the University of Pennsylvania, Department of Pediatrics and Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, Pennsylvania

21. Perelman School of Medicine at the University of Pennsylvania, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania

Abstract

Background Children with CKD are at risk for impaired neurocognitive functioning. We investigated metabolomic associations with neurocognition in children with CKD. Methods We leveraged data from the Chronic Kidney Disease in Children (CKiD) study and the Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease (NiCK) study. CKiD is a multi-institutional cohort that enrolled children aged 6 months to 16 years with eGFR 30–90 ml/min per 1.73 m2 (n=569). NiCK is a single-center cross-sectional study of participants aged 8–25 years with eGFR<90 ml/min per 1.73 m2 (n=60) and matched healthy controls (n=67). Untargeted metabolomic quantification was performed on plasma (CKiD, 622 metabolites) and serum (NiCK, 825 metabolites) samples. Four neurocognitive domains were assessed: intelligence, attention regulation, working memory, and parent ratings of executive function. Repeat assessments were performed in CKiD at 2-year intervals. Linear regression and linear mixed-effects regression analyses adjusting for age, sex, delivery history, hypertension, proteinuria, CKD duration, and glomerular versus nonglomerular diagnosis were used to identify metabolites associated with neurocognitive z-scores. Analyses were performed with and without adjustment for eGFR. Results There were multiple metabolite associations with neurocognition observed in at least two of the analytic samples (CKiD baseline, CKiD follow-up, and NiCK CKD). Most of these metabolites were significantly elevated in children with CKD compared with healthy controls in NiCK. Notable signals included associations with parental ratings of executive function: phenylacetylglutamine, indoleacetylglutamine, and trimethylamine N-oxide—and with intelligence: γ-glutamyl amino acids and aconitate. Conclusions Several metabolites were associated with neurocognitive dysfunction in pediatric CKD, implicating gut microbiome–derived substances, mitochondrial dysfunction, and altered energy metabolism, circulating toxins, and redox homeostasis. Podcast This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000318.mp3

Funder

NIDDK

NCCIH

Pennsylvania Department of Health

NCATS

Foundation for the National Institutes of Health

NHLBI Division of Intramural Research

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation,Nephrology,Critical Care and Intensive Care Medicine,Epidemiology

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