Evidence map›Paper›PMID 40566894›Full record

ArticlePsychiatry investigation2025

Transcriptional Landscape and Biomarker Discovery for Endoplasmic Reticulum Stress in Alzheimer's Disease: An Ex Vivo Study Using Patients-Derived Dermal Fibroblasts.

Yeojin Kim, You Jin Nam, Sunwoo Yoon, Young Joon Cho, Ho Min Song, Seongmin Kim, Donghyuk Shin, Jin Young Noh, Sun Min Lee, So Young Moon and 17 more

Abstract read
In one paragraph

Article in Psychiatry investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

27 authors.

Yeojin KimDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
You Jin NamDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Sunwoo YoonDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
Young Joon ChoDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
Ho Min SongDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
Seongmin KimDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Donghyuk ShinDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Jin Young NohDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
Sun Min LeeDepartment of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
So Young MoonDepartment of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
Eun-Joo KimDepartment of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea.
Soo Hyun ChoDepartment of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
Byeong C KimDepartment of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
Seong Hye ChoiDepartment of Neurology, Inha University College of Medicine, Incheon, Republic of Korea.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Jin Wook ChoiDepartment of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
Young-Sil AnDepartment of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Republic of Korea.
Bumhee ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
Young Joon ParkDepartment of Dermatology, Ajou University School of Medicine, Suwon, Republic of Korea.
Hee Young KangDepartment of Dermatology, Ajou University School of Medicine, Suwon, Republic of Korea.
Hyun Goo WooDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.
Yong Hyuk ChoDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Sunhwa HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Sang Joon SonDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Sang-Rae LeeEfficacy Test Center for Mental & Behavioral Disorders, Ajou University Hospital, Suwon, Republic of Korea.
Chang Hyung HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Hyun Woong RohDepartment of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea.

Funding

Ajou University Medical CenterGRRC program GRRCAjou2023-B02Korea Dementia Research CenterKorea Health Industry Development InstituteKorea National Institute of Health 2024-ER0505-01Ministry of Health and Welfare RS-2021-KH113821Ministry of Health and Welfare RS-2022-KH125898Ministry of Health and Welfare RS-2022-KH130303Ministry of Health and Welfare RS-2023-00267453Ministry of Health and Welfare RS-2024- 00339665Ministry of Health and Welfare RS-2024-00406876Ministry of Science and ICTNational Research Foundation of Korea 2019R1A5A2026045
6 · The paper itself

Abstract

objectiveNumerous studies have identified various risk factors associated with Alzheimer's disease (AD). However, the experimental limitations of disease modeling make it challenging to directly interpret their effects. These limitations include constraints of postmortem samples, animal experiments, and challenges associated with brain tissue studies. Ex vivo experiments effectively address these issues by enabling patient-specific identification and highlighting potential biomarkers. This study aimed to characterize the transcriptional profile of fibroblasts derived from patients with AD in response to endoplasmic reticulum (ER) stress and propose potential biomarkers.

methodsWe utilized an ex vivo platform to identify genes differentially responsive to ER stress. The transcriptional feature of fibroblasts in both healthy controls (n=22) and patients with AD (n=20) was analyzed using bulk RNA sequencing. The cytotoxicity of the selected target gene was evaluated through knockdown experiments.

resultsA total of 468 differentially expressed genes (DEGs) were identified. Gene ontology and pathway enrichment analysis revealed that 210 DEGs, which were less responsive in AD, are involved in lipid-related terms and pathways. By narrowing down AD-related genes, we identified 49 highly reliable AD-associated genes. The most significant gene, DCTN2, exhibited a fold change that positively correlated with cognitive function and negatively correlated with blood-based biomarkers (pTau217, amyloid beta 42/40 ratio), aligning with the amyloid/Tau/neurodegeneration research criteria for AD. Additionally, the knockdown of DCTN2 in glial cell lines resulted in increased cell toxicity and apoptosis.

conclusionIdentifying differentially responsive genes in ex vivo experiments not only provides insights into the pathology of AD but also offers potential biomarkers for disease diagnosis.

Indexed as

Alzheimer’s diseaseBiomarkerEndoplasmic reticulum stressEx vivo studyFibroblast

Identifiers

PMID40566894
PMCPMC12198892

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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.