Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
03 07 2019
Historique:
entrez: 1 8 2019
pubmed: 1 8 2019
medline: 12 6 2020
Statut: epublish

Résumé

Increasing evidence suggests an important role of liver function in the pathophysiology of Alzheimer disease (AD). The liver is a major metabolic hub; therefore, investigating the association of liver function with AD, cognition, neuroimaging, and CSF biomarkers would improve the understanding of the role of metabolic dysfunction in AD. To examine whether liver function markers are associated with cognitive dysfunction and the "A/T/N" (amyloid, tau, and neurodegeneration) biomarkers for AD. In this cohort study, serum-based liver function markers were measured from September 1, 2005, to August 31, 2013, in 1581 AD Neuroimaging Initiative participants along with cognitive measures, cerebrospinal fluid (CSF) biomarkers, brain atrophy, brain glucose metabolism, and amyloid-β accumulation. Associations of liver function markers with AD-associated clinical and A/T/N biomarkers were assessed using generalized linear models adjusted for confounding variables and multiple comparisons. Statistical analysis was performed from November 1, 2017, to February 28, 2019. Five serum-based liver function markers (total bilirubin, albumin, alkaline phosphatase, alanine aminotransferase, and aspartate aminotransferase) from AD Neuroimaging Initiative participants were used as exposure variables. Primary outcomes included diagnosis of AD, composite scores for executive functioning and memory, CSF biomarkers, atrophy measured by magnetic resonance imaging, brain glucose metabolism measured by fludeoxyglucose F 18 (18F) positron emission tomography, and amyloid-β accumulation measured by [18F]florbetapir positron emission tomography. Participants in the AD Neuroimaging Initiative (n = 1581; 697 women and 884 men; mean [SD] age, 73.4 [7.2] years) included 407 cognitively normal older adults, 20 with significant memory concern, 298 with early mild cognitive impairment, 544 with late mild cognitive impairment, and 312 with AD. An elevated aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio and lower levels of ALT were associated with AD diagnosis (AST to ALT ratio: odds ratio, 7.932 [95% CI, 1.673-37.617]; P = .03; ALT: odds ratio, 0.133 [95% CI, 0.042-0.422]; P = .004) and poor cognitive performance (AST to ALT ratio: β [SE], -0.465 [0.180]; P = .02 for memory composite score; β [SE], -0.679 [0.215]; P = .006 for executive function composite score; ALT: β [SE], 0.397 [0.128]; P = .006 for memory composite score; β [SE], 0.637 [0.152]; P < .001 for executive function composite score). Increased AST to ALT ratio values were associated with lower CSF amyloid-β 1-42 levels (β [SE], -0.170 [0.061]; P = .04) and increased amyloid-β deposition (amyloid biomarkers), higher CSF phosphorylated tau181 (β [SE], 0.175 [0.055]; P = .02) (tau biomarkers) and higher CSF total tau levels (β [SE], 0.160 [0.049]; P = .02) and reduced brain glucose metabolism (β [SE], -0.123 [0.042]; P = .03) (neurodegeneration biomarkers). Lower levels of ALT were associated with increased amyloid-β deposition (amyloid biomarkers), and reduced brain glucose metabolism (β [SE], 0.096 [0.030]; P = .02) and greater atrophy (neurodegeneration biomarkers). Consistent associations of serum-based liver function markers with cognitive performance and A/T/N biomarkers for AD highlight the involvement of metabolic disturbances in the pathophysiology of AD. Further studies are needed to determine if these associations represent a causative or secondary role. Liver enzyme involvement in AD opens avenues for novel diagnostics and therapeutics.

Identifiants

pubmed: 31365104
pii: 2740062
doi: 10.1001/jamanetworkopen.2019.7978
pmc: PMC6669786
doi:

Substances chimiques

Biomarkers 0
Serum Albumin 0
Fluorodeoxyglucose F18 0Z5B2CJX4D
Aspartate Aminotransferases EC 2.6.1.1
Alanine Transaminase EC 2.6.1.2
Alkaline Phosphatase EC 3.1.3.1
Bilirubin RFM9X3LJ49

Types de publication

Evaluation Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e197978

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB022574
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM011360
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NINDS NIH HHS
ID : P50 NS053488
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG046171
Pays : United States
Organisme : NIA NIH HHS
ID : RF1 AG051550
Pays : United States
Organisme : NIA NIH HHS
ID : R03 AG054936
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG049050
Pays : United States
Organisme : CIHR
Pays : Canada

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Auteurs

Kwangsik Nho (K)

Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.

Alexandra Kueider-Paisley (A)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.

Shahzad Ahmad (S)

Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.

Siamak MahmoudianDehkordi (S)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.

Matthias Arnold (M)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Shannon L Risacher (SL)

Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.

Gregory Louie (G)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.

Colette Blach (C)

Duke Molecular Physiology Institute, Duke University, Durham, North Carolina.

Rebecca Baillie (R)

Rosa & Co LLC, San Carlos, California.

Xianlin Han (X)

University of Texas Health Science Center at San Antonio, San Antonio.

Gabi Kastenmüller (G)

Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
German Center for Diabetes Research, Neuherberg, Germany.

John Q Trojanowski (JQ)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia.

Leslie M Shaw (LM)

Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia.

Michael W Weiner (MW)

Center for Imaging of Neurodegenerative Diseases, Department of Radiology, San Francisco Veterans Affairs Medical Center and University of California, San Francisco.

P Murali Doraiswamy (PM)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Duke Institute of Brain Sciences, Duke University, Durham, North Carolina.
Department of Medicine, Duke University, Durham, North Carolina.

Cornelia van Duijn (C)

Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.
Nuffield Department of Population Health, Oxford University, Oxford, United Kingdom.

Andrew J Saykin (AJ)

Center for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.

Rima Kaddurah-Daouk (R)

Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Duke Institute of Brain Sciences, Duke University, Durham, North Carolina.
Department of Medicine, Duke University, Durham, North Carolina.

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Classifications MeSH