APOE ε4 and peripheral metabolic network architecture in older adults

Background Whether apolipoprotein E ( APOE ) ε4 status shapes the organization of modifiable peripheral metabolic risk pathways for dementia prevention remains unclear. Most prior studies have focused on individual APOE -by-biomarker interactions rather than the broader conditional dependency structure among metabolic variables. Objective We aimed to examine whether APOE ε4 is conditionally connected to metabolic factors and whether network architecture differs by genotype. Methods In 2454 participants from the Korean Longitudinal Study on Cognitive Aging and Dementia with complete data on 13 variables, conditional dependency networks were estimated using graphical least absolute shrinkage and selection operator models and mixed graphical models. Network Comparison Tests were used to compare 12-node metabolic networks between ε4 carriers and non-carriers. Cox proportional hazards models evaluated whether hub biomarkers predicted incident cognitive impairment over a median follow-up of 7.4 years and whether associations differed by APOE genotype. Results APOE ε4 showed negligible conditional connectivity, with near-zero partial correlations in GLASSO (maximum |r| = 0.0114) and zero edge weights in mixed graphical models. The 12-node metabolic network did not differ significantly between carriers and non-carriers in either network structure (M = 0.1671, p = 0.45) or global strength (S = 2.3662, p = 0.46). Among 1922 baseline cognitively normal participants, 504 developed cognitive impairment during follow-up. Neither the APOE × homocysteine interaction (p = 0.921) nor the APOE × creatinine interaction (p = 0.402) was significant. Conclusions APOE ε4 was conditionally independent of the peripheral metabolic variables examined, with no major genotype-specific differences in network architecture. These findings highlight the importance of metabolic dementia prevention regardless of genotype, although interventional confirmation is warranted.

Authors

Institutions

Publication Details

Journal
Journal of Alzheimer s Disease
Published
2026-08-28
DOI
https://doi.org/10.1177/13872877261476718
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APOE ε4 and peripheral metabolic network architecture in older adults

Seok Woo Moon, Seung‐Ho Ryu, Kyung Phil Kwak, Ki Woong Kim et al.
Journal of Alzheimer s Disease
Dementia and Cognitive Impairment Research
article

APOE ε4 and peripheral metabolic network architecture in older adults

Seok Woo Moon, Seung‐Ho Ryu, Kyung Phil Kwak, Ki Woong Kim, Ji Won Han, Tae Hui Kim, Joon Hyuk Park, Bong‐Jo Kim, Dae Jong Oh, Jung Jae Lee, Jin Hyeong Jhoo, Dong Woo Lee, Jeong Lan Kim, Shin Gyeom Kim, Seok Bum Lee
article en

Abstract

Background Whether apolipoprotein E ( APOE ) ε4 status shapes the organization of modifiable peripheral metabolic risk pathways for dementia prevention remains unclear. Most prior studies have focused on individual APOE -by-biomarker interactions rather than the broader conditional dependency structure among metabolic variables. Objective We aimed to examine whether APOE ε4 is conditionally connected to metabolic factors and whether network architecture differs by genotype. Methods In 2454 participants from the Korean Longitudinal Study on Cognitive Aging and Dementia with complete data on 13 variables, conditional dependency networks were estimated using graphical least absolute shrinkage and selection operator models and mixed graphical models. Network Comparison Tests were used to compare 12-node metabolic networks between ε4 carriers and non-carriers. Cox proportional hazards models evaluated whether hub biomarkers predicted incident cognitive impairment over a median follow-up of 7.4 years and whether associations differed by APOE genotype. Results APOE ε4 showed negligible conditional connectivity, with near-zero partial correlations in GLASSO (maximum |r| = 0.0114) and zero edge weights in mixed graphical models. The 12-node metabolic network did not differ significantly between carriers and non-carriers in either network structure (M = 0.1671, p = 0.45) or global strength (S = 2.3662, p = 0.46). Among 1922 baseline cognitively normal participants, 504 developed cognitive impairment during follow-up. Neither the APOE × homocysteine interaction (p = 0.921) nor the APOE × creatinine interaction (p = 0.402) was significant. Conclusions APOE ε4 was conditionally independent of the peripheral metabolic variables examined, with no major genotype-specific differences in network architecture. These findings highlight the importance of metabolic dementia prevention regardless of genotype, although interventional confirmation is warranted.

Journal of Alzheimer s Disease
Seoul National University of Science and Technology (KR), Seoul National University (KR), Kangwon National University (KR), Gyeongsang National University (KR), Yonsei University (KR), Chungnam National University (KR), Dongguk University (KR), Konkuk University (KR), Soonchunhyang University (KR), Seoul National University Bundang Hospital (KR), Konkuk University Medical Center (KR), Wonju Severance Christian Hospital (KR), Inje University Sanggye Paik Hospital (KR), Jeju National University Hospital (KR), Dankook University Hospital (KR), Dongguk University WISE, Konkuk University Chungju Hospital (KR), Dongguk University Gyeongju Hospital (KR)
Seoul National University Bundang Hospital, Korea Dementia Research Center, Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention
Openalex Percentile: Top 9%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.