APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation.
The 4 matches
- [1] § Methods › Meta-analysis strategy ↔ meta/meta.R, lines 120–261 · score 0.65 · bias corrected, meta regression, trim, Baujat, multiverse, fill
- [2] § Methods › Statistical models ↔ ADNI/adni_analysis.py, lines 67–95 · score 0.62 · field strength, APOE4 dosage, ADNI model, baseline diagnosis, ICV, Sex
- [3] § Results › Establishing the baseline effect and sources of heterogeneity ↔ meta/meta.R, lines 120–261 · score 0.59 · bias corrected, meta regressions, trim, female, fill, uncorrected
- [4] § Methods › Statistical models ↔ ADNI/adni_analysis.py, lines 133–170 · score 0.52 · field strength, baseline diagnosis interaction, CN, ICV, sex, age
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
R · 505 lines · 30 KB · no license · 2 matches
meta.R at commit 09b915a, no license · at the source
Overview
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, Xinjiang, China
- Shenzhen X-Institute, Shenzhen, China
- College of Mathematics and System Science, Xinjiang University, Urumqi, Xinjiang, China
Abstract
Background: Predicting patient-specific neurodegenerative trajectories is essential for targeted interventions in Alzheimer's disease. Although the APOE-ε4 allele is the predominant genetic risk factor for hippocampal atrophy, whether its structural impact reflects a static developmental phenotype or an accelerated neurodegenerative process conditional on amyloid pathology remains unresolved.
Objectives: To quantify the effect of APOE-ε4 on hippocampal volume via cross-sectional meta-analysis, and to validate the gene-dose effect through independent longitudinal modeling in two cohorts.
Eligibility criteria: Original observational neuroimaging studies reporting hippocampal volume stratified by APOE genotype in human participants across the Alzheimer's disease continuum.
Information sources: PubMed, Embase, Web of Science, and Cochrane Library were searched from inception to August 2025.
Risk of bias: Methodological quality was assessed using the Newcastle–Ottawa Scale (NOS) adapted for cross-sectional studies.
Included studies and synthesis of results: The meta-analysis included 18 studies (N = 4, 311) and indicated reduced hippocampal volume in carriers (ICV-corrected stratum: SMD = −0.41, 95% CI [−0.67, −0.16], p = 0.004; I2 = 74.0%), with the effect absent in uncorrected analyses. Longitudinal gene-dose models, run independently in the post-QC NACC LMM sample (N = 3, 239; imaging extraction N = 3, 248) and ADNI (N = 1, 150) cohorts and combined via fixed-effect meta-analysis, demonstrated a dose-dependent acceleration of hippocampal atrophy: homozygotes exhibited a pooled additional volume loss of −58.25 mm3/
Limitations: Biomarker-stratified analyses used baseline-only CSF measurements subject to time-varying confounding and should be interpreted as exploratory. Moderate between-cohort heterogeneity was observed for the heterozygote effect (I2 = 63.0%).
Conclusions and implications: These findings provide two-cohort evidence for a dose-dependent APOE-ε4 effect on hippocampal atrophy rates. Exploratory biomarker-stratified analyses in ADNI suggest this acceleration may be conditional on amyloid-β positivity, a hypothesis requiring validation with time-varying causal models.
Systematic review registration: https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
Its files are read in the Code ↔ Paper reader above, with 4 matches between paragraphs and lines of code.
wyqmath/admeta
09b915a36aec7144152e2946681423fc39d8d70e, 22 May 2026Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
4 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 09b915a, when its fingerprint is the one OSCR verified. How this works.
- ADNI/
adni_analysis.py — Python, 718 lines, 2 matches, shown from its source - NACC/
nacc_analysis.py — Python, 463 lines, shown from its source - meta/
meta.R — R, 505 lines, 2 matches, shown from its source - README.md — Text, 64 lines, shown from its source
The paper's code and data availability statement is in the Data section.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 3 scripts, each with its path and the digest of its content;
- 4 matches between paragraphs of the paper and lines of the code (method lexical-v1);
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
Data availability statement
The code used for the meta-analysis and longitudinal modeling is publicly available in the GitHub repository: https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 7 authors, 5 keywords, 1 funder, 72 references.
Cite
This paper
Cai, M., Lei, H., Zhang, Y., Zou, J., Cao, W., Wang, Y., & Wei, K. (2026). APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation. Frontiers in aging neuroscience, 18, 1847611. https://
BibTeX
@article{cai2026apoe,
author = {Cai, Minnuo and Lei, Hang and Zhang, Yuetong and Zou, Jiaxiang and Cao, Wanjing and Wang, Yiquan and Wei, Kai},
title = {{APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation}},
journal = {Frontiers in aging neuroscience},
year = {2026},
month = jul,
volume = {18},
pages = {1847611},
publisher = {Frontiers Media SA},
issn = {1663-4365},
doi = {10.3389/
url = {https://
pmid = {42459526},
pmcid = {PMC13369312}
}
RIS
TY - JOUR
AU - Cai, Minnuo
AU - Lei, Hang
AU - Zhang, Yuetong
AU - Zou, Jiaxiang
AU - Cao, Wanjing
AU - Wang, Yiquan
AU - Wei, Kai
TI - APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation
T2 - Frontiers in aging neuroscience
J2 - Front Aging Neurosci
PY - 2026
DA - 2026/
VL - 18
SP - 1847611
SN - 1663-4365
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.3389/
"type": "article-journal",
"title": "APOE ε4-associated hippocampal atrophy trajectories across the Alzheimer's disease continuum: a systematic review, meta-analysis, and longitudinal validation",
"container-title": "Frontiers in aging neuroscience",
"author": [
{
"family": "Cai",
"given": "Minnuo"
},
{
"family": "Lei",
"given": "Hang"
},
{
"family": "Zhang",
"given": "Yuetong"
},
{
"family": "Zou",
"given": "Jiaxiang"
},
{
"family": "Cao",
"given": "Wanjing"
},
{
"family": "Wang",
"given": "Yiquan"
},
{
"family": "Wei",
"given": "Kai"
}
],
"container-title-short":
"volume": "18",
"page": "1847611",
"DOI": "10.3389/
"PMID": "42459526",
"PMCID": "PMC13369312",
"ISSN": "1663-4365",
"publisher": "Frontiers Media SA",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
7,
1
]
]
}
}
The tracing map gets a citation of its own once an author has validated it and it has a DOI.
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1038/s41398-026-04081-8 [code]
- Functional system-specific brain aging across the Alzheimer's disease continuum.Journal: Translational psychiatryIn common: statsmodels, seaborn, tidyverse, 4 other tools, Alzheimer's / dementia, structural MRI / diffusion, 3 references
- [2] doi:10.1002/hbm.70508 [code]
- Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PET.Journal: Human brain mappingIn common: NumPy, Alzheimer's / dementia, structural MRI / diffusion, 7 references
- [3] doi:10.1093/braincomms/fcag176 [code]
- Tau topography subtypes account for clinical heterogeneity and longitudinal trajectories in early-onset Alzheimer's disease.Journal: Brain communicationsIn common: statsmodels, seaborn, tidyverse, 4 other tools, Alzheimer's / dementia, 2 references
- [4] doi:10.34133/research.1392 [code]
- Neuroimaging Epicenters as Vulnerable Nodes in Plasma p-tau217/
Aβ42-Positive Alzheimer's Disease. Journal: Research (Washington, D.C.)In common: pandas, SciPy, NumPy, Alzheimer's / dementia, 5 references - [5] doi:10.1038/s42003-026-09956-6 [code]
- Linking changes in sulcal morphometry to cognitive development from childhood to adolescence.Journal: Communications biologyIn common: statsmodels, seaborn, tidyverse, 4 other tools, structural MRI / diffusion, 2 references
- [6] doi:10.1038/s41514-026-00391-9 [code]
- Region-specific transcriptional signatures of brain aging in the absence of neuropathology at the single-cell level.Journal: npj agingIn common: data.table, statsmodels, seaborn, 5 other tools, 1 reference
- [7] doi:10.1038/s41593-026-02363-4 [code]
- Cortical thickness changes precede high levels of amyloid by at least 7 years.Journal: Nature neuroscienceIn common: data.table, tidyverse, Alzheimer's / dementia, structural MRI / diffusion, 4 references
- [8] doi:10.1038/s44220-026-00680-y [code]
- The neuroimaging correlates of depression established across six large-scale population datasets.Journal: Nature. Mental healthIn common: statsmodels, seaborn, tidyverse, 4 other tools, 2 references
- [9] doi:10.1038/s43587-026-01096-0 [code]
- Neuronal APOE4-induced early hippocampal network hyperexcitability in Alzheimer's disease pathogenesis.Journal: Nature agingIn common: statsmodels, seaborn, pandas, 3 other tools, Alzheimer's / dementia, 2 references
- [10] doi:10.1038/s44400-026-00094-8 [code]
- Haplotype-resolved DNA methylation at the &
lt;i& gt;APOE& lt;/ i& gt; locus identifies allele-specific epigenetic signatures relevant to Alzheimer's disease risk. Journal: NPJ dementiaIn common: statsmodels, seaborn, pandas, 3 other tools, Alzheimer's / dementia, 2 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 1 repository of the authors' code, each at its verified commit and with its license, 3 scripts, and 4 matches between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:89679201aeb1cdb9…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[, paste the snippet at the top, then “Commit changes…” and, to review it first, “Create a new branch and start a pull request”. You open the pull request; OSCR asks for no permission.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
