The Association of Kidney Function with Plasma Amyloid-β Levels and Brain Amyloid Deposition.

Albuminuria amyloid glomerular filtration rate kidney kidney function plasma amyloid-β positron emission tomography

Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2023
Historique:
pubmed: 31 1 2023
medline: 15 3 2023
entrez: 30 1 2023
Statut: ppublish

Résumé

Reduced kidney function is related to brain atrophy and higher risk of dementia. It is not known whether kidney impairment is associated with higher levels of circulating amyloid-β and brain amyloid-β deposition, which could contribute to elevated risk of dementia. To investigate whether kidney impairment is associated with higher levels of circulating amyloid-β and brain amyloid-β deposition. This cross-sectional study was performed within the community-based Atherosclerosis Risk in Communities (ARIC) Study cohort. We used estimated glomerular filtration rate (eGFR) based on serum creatinine and cystatin C levels and urine albumin-to-creatinine ratio (ACR) to assess kidney function. Amyloid positivity was defined as a standardized uptake value ratios > 1.2 measured with florbetapir positron emission tomography (PET) (n = 340). Plasma amyloid-β1 - 40 and amyloid-β1 - 42 were measured using a fluorimetric bead-based immunoassay (n = 2,569). Independent of demographic and cardiovascular risk factors, a doubling of ACR was associated with 1.10 (95% CI: 1.01,1.20) higher odds of brain amyloid positivity, but not eGFR (odds ratio per 15 ml/min/1.73 m2 lower eGFR: 1.08; 95% CI: 0.95,1.23). A doubling of ACR was associated with a higher level of plasma amyloid-β1 - 40 (standardized difference: 0.12; 95% CI: 0.09,0.14) and higher plasma amyloid-β1 - 42 (0.08; 95% CI: 0.05,0.10). Lower eGFR was associated with higher plasma amyloid-β1 - 40 (0.36; 95% CI: 0.33,0.39) and higher amyloid-β1 - 42 (0.32; 95% CI: 0.29,0.35). Low clearance of amyloid-β and elevated brain amyloid positivity may link impaired kidney function with elevated risk of dementia. kidney function should be considered in interpreting amyloid biomarker results in clinical and research setting.

Sections du résumé

BACKGROUND
Reduced kidney function is related to brain atrophy and higher risk of dementia. It is not known whether kidney impairment is associated with higher levels of circulating amyloid-β and brain amyloid-β deposition, which could contribute to elevated risk of dementia.
OBJECTIVE
To investigate whether kidney impairment is associated with higher levels of circulating amyloid-β and brain amyloid-β deposition.
METHODS
This cross-sectional study was performed within the community-based Atherosclerosis Risk in Communities (ARIC) Study cohort. We used estimated glomerular filtration rate (eGFR) based on serum creatinine and cystatin C levels and urine albumin-to-creatinine ratio (ACR) to assess kidney function. Amyloid positivity was defined as a standardized uptake value ratios > 1.2 measured with florbetapir positron emission tomography (PET) (n = 340). Plasma amyloid-β1 - 40 and amyloid-β1 - 42 were measured using a fluorimetric bead-based immunoassay (n = 2,569).
RESULTS
Independent of demographic and cardiovascular risk factors, a doubling of ACR was associated with 1.10 (95% CI: 1.01,1.20) higher odds of brain amyloid positivity, but not eGFR (odds ratio per 15 ml/min/1.73 m2 lower eGFR: 1.08; 95% CI: 0.95,1.23). A doubling of ACR was associated with a higher level of plasma amyloid-β1 - 40 (standardized difference: 0.12; 95% CI: 0.09,0.14) and higher plasma amyloid-β1 - 42 (0.08; 95% CI: 0.05,0.10). Lower eGFR was associated with higher plasma amyloid-β1 - 40 (0.36; 95% CI: 0.33,0.39) and higher amyloid-β1 - 42 (0.32; 95% CI: 0.29,0.35).
CONCLUSION
Low clearance of amyloid-β and elevated brain amyloid positivity may link impaired kidney function with elevated risk of dementia. kidney function should be considered in interpreting amyloid biomarker results in clinical and research setting.

Identifiants

pubmed: 36710673
pii: JAD220765
doi: 10.3233/JAD-220765
pmc: PMC10124796
mid: NIHMS1891017
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

229-239

Subventions

Organisme : NIA NIH HHS
ID : R01 AG040282
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92022D00003
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096902
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92022D00001
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92022D00005
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096917
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096812
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92022D00002
Pays : United States
Organisme : NHLBI NIH HHS
ID : K24 HL159246
Pays : United States
Organisme : NHLBI NIH HHS
ID : 75N92022D00004
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL070825
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096899
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL096814
Pays : United States

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Auteurs

Sanaz Sedaghat (S)

Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Yuekai Ji (Y)

Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Timothy M Hughes (TM)

Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Josef Coresh (J)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Morgan E Grams (ME)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Aaron R Folsom (AR)

Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Kevin J Sullivan (KJ)

Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.

Anne M Murray (AM)

Department of Medicine, Geriatrics Division, Hennepin Health Care, and Hennepin Health Care Institute, Minneapolis, MN, USA.
Department of Medicine, University of Minnesota, Minneapolis, MN, USA.

Rebecca F Gottesman (RF)

National Institute of Neurological Disorders and Stroke Intramural Research Program, NIH, Bethesda, MD, USA.

Thomas H Mosley (TH)

Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.

Pamela L Lutsey (PL)

Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

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