Association of Kidney Function Measures With Signs of Neurodegeneration and Small Vessel Disease on Brain Magnetic Resonance Imaging: The Atherosclerosis Risk in Communities (ARIC) Study.

Albuminuria Atherosclerosis Risk in Communities (ARIC) Study brain infarcts cerebral small vessel disease chronic kidney disease (CKD) creatinine cystatin C diffusion tensor imaging estimated glomerular filtration rate (eGFR) magnetic resonance imaging (MRI) microhemorrhages neurodegeneration urinary albumin-creatinine ratio (UACR) white matter lesions β(2)-microglobulin (B2M)

Journal

American journal of kidney diseases : the official journal of the National Kidney Foundation
ISSN: 1523-6838
Titre abrégé: Am J Kidney Dis
Pays: United States
ID NLM: 8110075

Informations de publication

Date de publication:
03 2023
Historique:
received: 10 03 2022
accepted: 21 07 2022
pubmed: 1 10 2022
medline: 3 3 2023
entrez: 30 9 2022
Statut: ppublish

Résumé

Chronic kidney disease (CKD) is a risk factor for cognitive decline, but evidence is limited on its etiology and morphological manifestation in the brain. We evaluated the association of estimated glomerular filtration rate (eGFR) and urinary albumin-creatinine ratio (UACR) with structural brain abnormalities visible on magnetic resonance imaging (MRI). We also assessed whether this association was altered when different filtration markers were used to estimate GFR. Cross-sectional study nested in a cohort study. 1,527 participants in the Atherosclerosis Risk in Communities (ARIC) Study. Log(UACR) and eGFR based on cystatin C, creatinine, cystatin C and creatinine in combination, or β Brain volume reduction, infarcts, microhemorrhages, white matter lesions. Multivariable linear and logistic regression models fit separately for each predictor based on a 1-IQR difference in the predictor value. Each 1-IQR lower eGFR was associated with reduced cortex volume (regression coefficient: -0.07 [95% CI, -0.12 to-0.02]), greater white matter hyperintensity volume (logarithmically transformed; regression coefficient: 0.07 [95% CI, 0.01-0.15]), and lower white matter fractional anisotropy (regression coefficient: -0.08 [95% CI, -0.17 to-0.01]). The results were similar when eGFR was estimated with different equations based on cystatin C, creatinine, a combination of cystatin C and creatinine, or B2M. Higher log(UACR) was similarly associated with these outcomes as well as brain infarcts and microhemorrhages (odds ratios per 1-IQR-fold greater UACR of 1.31 [95% CI, 1.13-1.52] and 1.30 [95% CI, 1.12-1.51], respectively). The degree to which brain volume was lower in regions usually susceptible to Alzheimer disease and LATE (limbic-predominant age-related TDP-43 [Tar DNA binding protein 43] encephalopathy) was similar to that seen in the rest of the cortex. No inference about longitudinal effects due to cross-sectional design. We found eGFR and UACR are associated with structural brain damage across different domains of etiology, and eGFR- and UACR-related brain atrophy is not selective for regions typically affected by Alzheimer disease and LATE. Hence, Alzheimer disease or LATE may not be leading contributors to neurodegeneration associated with CKD.

Identifiants

pubmed: 36179945
pii: S0272-6386(22)00913-1
doi: 10.1053/j.ajkd.2022.07.013
pmc: PMC9974563
mid: NIHMS1838155
pii:
doi:

Substances chimiques

Cystatin C 0
Creatinine AYI8EX34EU

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

261-269.e1

Subventions

Organisme : NHLBI NIH HHS
ID : U01 HL096812
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096917
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096902
Pays : United States
Organisme : NHLBI NIH HHS
ID : K24 HL155861
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096814
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL070825
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003I
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK124399
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700003C
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096899
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700002I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700005I
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2022 National Kidney Foundation, Inc. All rights reserved.

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Auteurs

Johannes B Scheppach (JB)

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Department of Nephrology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Aozhou Wu (A)

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

Rebecca F Gottesman (RF)

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Current affiliation: National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, Maryland.

Thomas H Mosley (TH)

The MIND Center, University of Mississippi Medical Center, Jackson, Mississippi.

Lubaina T Arsiwala-Scheppach (LT)

Wilmer Eye Institute, Johns Hopkins University, Baltimore, Maryland.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, Minnesota.

Morgan E Grams (ME)

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

A Richey Sharrett (AR)

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

Josef Coresh (J)

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

Silvia Koton (S)

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Stanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: koton@tauex.tau.ac.il.

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Classifications MeSH