Evidence map›Paper›PMID 38225965›Full record

ArticleJournal of Alzheimer's disease reports2023

Association of Serum Liver Enzymes with Brain Amyloidopathy and Cognitive Performance.

Sang-Won Han, Sang-Hwa Lee, Jong Ho Kim, Jae-Jun Lee, Young Ho Park, SangYun Kim, Kwangsik Nho, Jong-Hee Sohn

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Sang-Won HanDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Gangwon-do, Republic of Korea.
Sang-Hwa LeeDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Gangwon-do, Republic of Korea.
Jong Ho KimDepartment of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon-si, Gangwon-do, Republic of Korea.
Jae-Jun LeeDepartment of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon-si, Gangwon-do, Republic of Korea.
Young Ho ParkDepartment of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.
SangYun KimDepartment of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.
Kwangsik NhoDepartment of Radiology and Imaging Sciences, Center for Computational Biology and Bioinformatics, Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Jong-Hee SohnDepartment of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Gangwon-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) is characterized by amyloid-β (Aβ) plaque accumulation and neurofibrillary tangles in the brain. Emerging evidence has suggested potential interactions between the brain and periphery, particularly the liver, in regulating Aβ homeostasis. Objective: This study aimed to investigate the association of serum liver enzymes with brain amyloidopathy and cognitive performance in patients with complaints of cognitive decline. Methods: A total of 1,036 patients (mean age 74 years, 66.2% female) with subjective cognitive decline, mild cognitive impairment, AD dementia, and other neurodegenerative diseases were included using the Smart Clinical Data Warehouse. Amyloid positron emission tomography (PET) imaging, comprehensive neuropsychological evaluations, and measurements of liver enzymes, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase, total bilirubin, and albumin, were assessed. After propensity score matching, logistic and linear regression analyses were used to investigate the associations between liver enzymes, amyloid status, and cognitive performance. Additionally, a machine learning approach was used to assess the classification performance of liver enzymes in predicting amyloid PET positivity. Results: Lower ALT levels and higher AST-to-ALT ratios were significantly associated with amyloid PET positivity and AD diagnosis. The AST-to-ALT ratio was also significantly associated with poor memory function. Machine learning analysis revealed that the classification performance of amyloid status (AUC = 0.642) for age, sex, and apolipoprotein E Conclusions: These findings highlight the potential association of liver function on AD and its potential as a diagnostic and therapeutic implications.

Indexed as

Alzheimer’s diseaseamyloid PETcognitionliver enzymesmachine learning

Identifiers

PMID38225965
PMCPMC10789293

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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.