Evidence map›Paper›PMID 41986478›Full record

ArticleExperimental & molecular medicine2026

Human brain and organoid transcriptomes reveal key receptor tyrosine kinase pathways and genetic signatures in Alzheimer's disease.

Saewoon Shin, Xiaohui Zhu, Sarnai Amartumur, Taehoon Lee, Won Jong Yu, Soomin Park, Niloofar Etemadi, Ariunzaya Jamsranjav, Rian Kang, Gyusoo Bak and 9 more

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Saewoon Shin *Department of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Xiaohui Zhu *Department of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Sarnai Amartumur *Department of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Taehoon LeeInstitute of Quantum Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Won Jong YuInstitute of Quantum Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Soomin ParkDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Niloofar EtemadiDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Ariunzaya JamsranjavDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Rian KangInstitute of Quantum Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Gyusoo BakInstitute of Quantum Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Dongjoon LeeDepartment of Biochemistry and Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jieun KimDepartment of Biochemistry and Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Jong Won HanDepartment of Biochemistry and Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea.
Chaejeong HeoDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Hansang ChoDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea.
Sunghoe ChangDepartment of Physiology and Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3446-7288
Inhee Mook-JungDepartment of Biochemistry and Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7085-4085
Sang-Eun LeeDepartment of Life Sciences, CHA University, Seongnam, Gyeonggi, Republic of Korea. sangeun@cha.ac.kr.ORCID http://orcid.org/0000-0001-7371-8556
Jong-Chan ParkDepartment of Biophysics, Sungkyunkwan University, Gyeonggi-do, Republic of Korea. jongchan@g.skku.edu.

Funding

Ministry of Health and Welfare (Ministry of Health and Welfare, Taiwan) RS-2024-00339665National Research Foundation of Korea (NRF) NRF-2022R1C1C2012736 and RS-2023-00266110National Research Foundation of Korea (NRF) RS-2025-23323854
6 · The paper itself

Abstract

Alzheimer disease (AD) is a progressive neurodegenerative disorder marked by transcriptomic alterations affecting multiple genes. Many researchers have tried to predict major hallmarks of AD pathogenesis for diagnosis but the association between receptor tyrosine kinase (RTK) pathways and AD diagnosis is still unclear. This study aims to identify RTK-associated gene signatures crucial to AD pathogenesis and assess their potential as diagnostic biomarkers for AD. The study investigated changes in RTK pathway gene expression related to AD by analyzing brain transcriptome data from two independent public data sets (GSE84422 and GSE109887). Differentially expressed genes (DEGs) were analyzed from the GSE84422 and GSE109887 data sets and overlapping genes (oDEGs) were identified. RTK-related genes (ooDEGs) were subsequently selected through functional enrichment analysis. These were further refined into AD-related genes (disease-associated genes (DAGs)) through protein-protein interaction network analysis. Logistic regression and receiver operating characteristic analyses were conducted on the selected DAGs to evaluate their diagnostic potential, with additional gene expression validation performed in brain organoids and primary neurons. A total of 145 genes were identified as oDEGs in the above two data sets, and 18 genes were selected as ooDEGs. Six DAGs (ITGB1, AXL, GFAP, NRG1, CAV1, and RHOA) were selected. The diagnostic powers of the six DAGs for AD were 0.825 (GSE84422) and 0.884 (GSE109887). Human brain organoids and primary neuronal models were used to validate the biological relevance of these findings. AXL and ITGB1 were finally selected as key genes for RTK pathway in AD and were significantly increased in AD.

Indexed as

Alzheimer DiseaseBrainReceptor Protein-Tyrosine KinasesTranscriptomeBiomarkersGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansProtein Interaction MapsSignal TransductionBiomarkersReceptor Protein-Tyrosine Kinases

Identifiers

PMID41986478
PMCPMC13144494

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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.