Evidence map›Paper›PMID 31365104›Full record

ArticleJAMA network open2019

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

Kwangsik Nho, Alexandra Kueider-Paisley, Shahzad Ahmad, Siamak MahmoudianDehkordi, Matthias Arnold, Shannon L Risacher, Gregory Louie, Colette Blach, Rebecca Baillie, Xianlin Han and 9 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 3 pooled it
12.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

140 citing papers in PubMed, 3 syntheses or guidelines pooled it, 230 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Amyloid-beta (1-40) peptide is associated with systemic metabolic health.European journal of clinical investigation · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Metabolites and MRI-derived markers of dementia risk in a Puerto Rican cohort.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  18. Article
  19. Article
  20. Review

80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 11 institutions in 4 countries.

Kwangsik NhoCenter for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.
Alexandra Kueider-PaisleyDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Shahzad AhmadDepartment of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.
Siamak MahmoudianDehkordiDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Matthias ArnoldDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Shannon L RisacherCenter for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.
Gregory LouieDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Colette BlachDuke Molecular Physiology Institute, Duke University, Durham, North Carolina.
Rebecca BaillieRosa & Co LLC, San Carlos, California.
Xianlin HanUniversity of Texas Health Science Center at San Antonio, San Antonio.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
John Q TrojanowskiDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia.
Leslie M ShawDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia.
Michael W WeinerCenter for Imaging of Neurodegenerative Diseases, Department of Radiology, San Francisco Veterans Affairs Medical Center and University of California, San Francisco.
P Murali DoraiswamyDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Cornelia van DuijnDepartment of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands.
Andrew J SaykinCenter for Computational Biology and Bioinformatics, Indiana Alzheimer Disease Center, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina.
Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium
Duke University · USIndiana University School of MedicineUniversity of Pennsylvania · USErasmus University Rotterdam · NLHelmholtz Zentrum München · DEIndiana University – Purdue University Indianapolis · USInstitute of Bioinformatics and Systems Biology · DERosa (United States) · USSan Francisco VA Medical Center · USThe University of Texas Health Science Center at San Antonio · USUniversity of Oxford · GB

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Project IV: "Alpha-Synuclein Strains & Diverse Synucleinopathies"P50NS053488 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROJANOWSKI, JOHN Q. · 2007 to 2017
$20.9M
Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type DementiasRF1AG051550 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KLING, MITCHEL ALLAN · 2015 to 2016
$6.3M
Metabolic Networks and Pathways in Alzheimer's DiseaseR01AG046171 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2014 to 2017
$4.4M
Integrative Bioinformatics Approaches to Human Brain Genomics and ConnectomicsR01EB022574 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHEN, LI · 2016 to 2019
$1.9M
Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex DiseaseR01LM012535 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2021
$1.7M
Bioinformatics Strategies for Multidimensional Brain Imaging GeneticsR01LM011360 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORE, JASON H., SAYKIN, ANDREW J · 2012 to 2015
$1.4M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
Neurogenesis in Adult Brain: Gene Networks and Alzheimer’s DiseaseR03AG054936 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2018
$145k
CIHRNIA NIH HHS K01 AG049050NIA NIH HHS R01 AG046171NIA NIH HHS R03 AG054936NIA NIH HHS RF1 AG051550NIA NIH HHS U01 AG024904NIBIB NIH HHS R01 EB022574NINDS NIH HHS P50 NS053488NLM NIH HHS R01 LM011360
6 · The paper itself

Abstract

Importance: 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. Objective: To examine whether liver function markers are associated with cognitive dysfunction and the "A/T/N" (amyloid, tau, and neurodegeneration) biomarkers for AD. Design, Setting, and Participants: 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. Exposures: 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. Main Outcomes and Measures: 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. Results: 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). Conclusions and Relevance: 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.

Indexed as

AgedAlanine TransaminaseAlkaline PhosphataseAlzheimer DiseaseAspartate AminotransferasesBilirubinBiomarkersCognitionCognitive DysfunctionCohort StudiesFemaleFluorodeoxyglucose F18HumansLiver Function TestsMagnetic Resonance ImagingMaleAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBilirubinBiomarkersFluorodeoxyglucose F18Serum Albumin

Identifiers

PMID31365104
PMCPMC6669786
OpenAlexW2966029669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.