Evidence map›Paper›PMID 41279801›Full record

ArticlebioRxiv : the preprint server for biology2025

Beyond the Genotype: A Multi-Omic Analysis of APOEe4's Role in Alzheimer's Disease.

Yaroslav Markov, Ahana Priyanka, Leqi Xu, Weiwei Wang, Kyra Thrush-Evensen, John Gonzalez, Daniel Borrus, Jessica Kasamoto, Raghav Sehgal, Grace Zou and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yaroslav MarkovProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.ORCID 0000-0001-8778-4909
Ahana PriyankaDepartment of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India.
Leqi XuDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0001-6789-4959
Weiwei WangDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
Kyra Thrush-EvensenProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.
John GonzalezDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-1020-8783
Daniel BorrusDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Jessica KasamotoProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.
Raghav SehgalProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.
Grace ZouDepartment of Genetics, Yale School of Medicine, New Haven, CT, USA.
Jenel FraijProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.
Becky C CarlyleDepartment of Physiology, Anatomy & Genetics, University of Oxford, Oxford, UK.
Steve HorvathDepartment of Human Genetics, University of California, Los Angeles, CA, USA.ORCID 0000-0002-4110-3589
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Hongyu ZhaoProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.ORCID 0000-0003-1195-9607
Christopher H van DyckAlzheimer's Disease Research Unit, Yale School of Medicine, New Haven, CT, USA.
TuKiet T LamDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Albert T Higgins-ChenDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Alzheimer variants: Propagation of shared functional changes across cellular networksU01AG072572 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE JAGER, PHILIP L, ST GEORGE-HYSLOP, PETER HENRY · 2021 to 2025
$8.5M
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 CarriersR01AG057912 · NIA · YALE UNIVERSITY · PI GAITERI, CHRISTOPHER A., HIGGINS-CHEN, ALBERT TZONGYANG · 2017 to 2021
$4.5M
High Resolution Tandem Mass Spectrometer to Meet Growing Demand for Proteomics at YaleS10OD023651 · OD · YALE UNIVERSITY · PI LAM, TUKIET T · 2018 to 2018
$572k
6500 QTrap Mass Spectrometer for Yale UniversityS10OD018034 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2014 to 2014
$514k
An Ultra-Performance Liquid Chromatography System to Support Metabolomics at Yale UniversityS10OD019967 · OD · YALE UNIVERSITY · PI LAM, TUKIET T · 2015 to 2015
$135k
NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG057912NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG072572NIH HHS S10 OD018034NIH HHS S10 OD019967NIH HHS S10 OD023651
6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by widespread molecular dysregulation, with the APOEe4 allele recognized as its strongest genetic risk factor. However, the mechanisms by which APOEe4 drives distinct molecular changes - whether by exacerbating pathology or triggering compensatory responses - remain incompletely understood. We generated and analyzed proteomic, epigenetic, and genetic data from post-mortem dorsolateral prefrontal cortex samples of a uniquely APOEe4-enriched subset of the Religious Orders Study and Memory and Aging Project (ROSMAP). Specifically, we generated DIA LC-MS proteomic data (n = 302), analyzed previously generated DNA methylation profiles from our group (n = 310), and used published whole-genome sequencing data (n = 254) to compute polygenic risk scores (PRS). In this cohort, 69% (n = 214) were APOEe4 carriers, and 19.6% (n = 42) of them showed no pathological evidence of AD based on NIA-Reagan criteria, enabling identification of APOEe4-related risk and resilience mechanisms. In the absence of AD, APOEe4 carriers exhibited lower levels of 27 proteins, suggesting early synaptic (e.g., VAMP1, SYN3, CASKIN1) and metabolic (e.g., GLUD1, PI4KA) vulnerability. By contrast, APOEe4 carriers with AD displayed marked upregulation of inflammatory and proteostatic proteins (e.g., GNAO1, AHNAK, FGG, HEBP1, APEX1, RAB4A, SLC12A5, LRP1, BAG6) and hypermethylation of cg06329447 in ELAVL4. Network analyses highlighted convergent disruptions in synaptic transmission, metabolism, and proteostasis - key pathways altered in APOEe4-associated AD. Mediation analyses identified GRIPAP1 and GSTK1 as top protein mediators (accounting for ~26-33% of APOEe4's effect), with VAMP1, CASKIN1, DPP3, SYN3, and FGG each contributing ~9-15%. ELAVL4 hypermethylation also mediated ~12% of the APOEe4 effect, linking epigenetic dysregulation to disease risk. To assess whether the identified proteins reflected broader genetic risk for AD or were specific to APOEe4, we calculated PRS both excluding and including the APOE genomic region. While the non-APOE PRS showed no association with identified molecular markers, the APOE-inclusive PRS was significantly associated with eight AD-related proteins in carriers, indicating they are not explained by polygenic risk outside of APOE. Finally, predictive modeling stratified by APOEe4 status revealed that in non-carriers, PRS most effectively classified AD (AUC = 0.73), whereas in carriers, proteomic and epigenetic markers outperformed PRS (AUC up to 0.74). Together, these findings demonstrate that APOEe4 confers AD risk through early synaptic and metabolic disruptions and later-stage inflammatory and epigenetic changes, laying the groundwork for genotype-tailored biomarker development and therapeutic strategies.

Identifiers

PMID41279801
PMCPMC12632733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.