Systematic druggable genome-wide Mendelian randomisation identifies therapeutic targets for Alzheimer's disease

被引:52
作者
Su, Wei-Ming [1 ,2 ]
Gu, Xiao-Jing [3 ]
Dou, Meng [4 ]
Duan, Qing-Qing [1 ,2 ]
Jiang, Zheng [1 ,2 ]
Yin, Kang-Fu [1 ,2 ]
Cai, Wei-Chen [1 ,2 ]
Cao, Bei [1 ,2 ]
Wang, Yi [5 ]
Chen, Yong-Ping [1 ,2 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Neurol, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, Inst Brain Sci & Brain Inspired Technol, Chengdu, Sichuan, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Mental Hlth Ctr, Chengdu, Peoples R China
[4] Chinese Acad Sci, Chengdu Comp Applicat Inst, Chengdu, Peoples R China
[5] Sichuan Univ, West China Coll Basic Med Sci & Forens Med, Dept Pathophysiol, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
ALZHEIMER'S DISEASE; COGNITION; MEDICINE; GENETICS; LOCI; METAANALYSIS; ASSOCIATION; EQTL;
D O I
10.1136/jnnp-2023-331142
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BackgroundAlzheimer's disease (AD) is the leading cause of dementia. Currently, there are no effective disease-modifying treatments for AD. Mendelian randomisation (MR) has been widely used to repurpose licensed drugs and discover novel therapeutic targets. Thus, we aimed to identify novel therapeutic targets for AD and analyse their pathophysiological mechanisms and potential side effects. MethodsA two-sample MR integrating the identified druggable genes was performed to estimate the causal effects of blood and brain druggable expression quantitative trait loci (eQTLs) on AD. A repeat study was conducted using different blood and brain eQTL data sources to validate the identified genes. Using AD markers with available genome-wide association studies data, we evaluated the causal relationship between established AD markers to explore possible mechanisms. Finally, the potential side effects of the druggable genes for AD treatment were assessed using a phenome-wide MR. ResultsOverall, 5883 unique druggable genes were aggregated; 33 unique potential druggable genes for AD were identified in at least one dataset (brain or blood), and 5 were validated in a different dataset. Among them, three prior druggable genes (epoxide hydrolase 2 (EPHX2), SERPINB1 and SIGLEC11) reached significant levels in both blood and brain tissues. EPHX2 may mediate the pathogenesis of AD by affecting the entire hippocampal volume. Further phenome-wide MR analysis revealed no potential side effects of treatments targeting EPHX2, SERPINB1 or SIGLEC11. ConclusionsThis study provides genetic evidence supporting the potential therapeutic benefits of targeting the three druggable genes for AD treatment, which will be useful for prioritising AD drug development.
引用
收藏
页码:954 / 961
页数:8
相关论文
共 58 条
  • [41] Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants
    Persyn, Elodie
    Hanscombe, Ken B.
    Howson, Joanna M. M.
    Lewis, Cathryn M.
    Traylor, Matthew
    Markus, Hugh S.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [42] Identification and functional characterization of human soluble epoxide hydrolase genetic polymorphisms
    Sandberg, M
    Hassett, C
    Adman, ET
    Meijer, J
    Omiecinski, CJ
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2000, 275 (37) : 28873 - 28881
  • [43] Meta-analysis of genome-wide association studies identifies ancestry-specific associations underlying circulating total tau levels
    Sarnowski, Chloe
    Ghanbari, Mohsen
    Bis, Joshua C.
    Logue, Mark
    Fornage, Myriam
    Mishra, Aniket
    Ahmad, Shahzad
    Beiser, Alexa S.
    Boerwinkle, Eric
    Bouteloup, Vincent
    Chouraki, Vincent
    Cupples, L. Adrienne
    Damotte, Vincent
    DeCarli, Charles S.
    DeStefano, Anita L.
    Djousse, Luc
    Fohner, Alison E.
    Franz, Carol E.
    Kautz, Tiffany F.
    Lambert, Jean-Charles
    Lyons, Michael J.
    Mosley, Thomas H.
    Mukamal, Kenneth J.
    Pase, Matthew P.
    Fernandez, Eliana C. Portilla
    Rissman, Robert A.
    Satizabal, Claudia L.
    Vasan, Ramachandran S.
    Yaqub, Amber
    Debette, Stephanie
    Dufouil, Carole
    Launer, Lenore J.
    Kremen, William S.
    Longstreth, William T.
    Ikram, M. Arfan
    Seshadri, Sudha
    [J]. COMMUNICATIONS BIOLOGY, 2022, 5 (01)
  • [44] Alzheimer's disease
    Scheltens, Philip
    De Strooper, Bart
    Kivipelto, Miia
    Holstege, Henne
    Chetelat, Gael
    Teunissen, Charlotte E.
    Cummings, Jeffrey
    van der Flier, Wiesje M.
    [J]. LANCET, 2021, 397 (10284) : 1577 - 1590
  • [45] Genetic drug target validation using Mendelian randomisation
    Schmidt, Amand F.
    Finan, Chris
    Gordillo-Maranon, Maria
    Asselbergs, Folkert W.
    Freitag, Daniel F.
    Patel, Riyaz S.
    Tyl, Benoit
    Chopade, Sandesh
    Faraway, Rupert
    Zwierzyna, Magdalena
    Hingorani, Aroon D.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [46] Health economics and the value of therapy in Alzheimer's disease
    Schwam, Elias M.
    Abu-Shakra, Susan
    del Valle, Megan
    Townsend, Raymond J.
    Carrillo, Maria C.
    Fillit, Howard
    [J]. ALZHEIMERS & DEMENTIA, 2007, 3 (03) : 143 - 151
  • [47] Mendelian Randomization as an Approach to Assess Causality Using Observational Data
    Sekula, Peggy
    Del Greco, Fabiola M.
    Pattaro, Cristian
    Koettgen, Anna
    [J]. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2016, 27 (11): : 3253 - 3265
  • [48] An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank
    Smith, Stephen M.
    Douaud, Gwenaelle
    Chen, Winfield
    Hanayik, Taylor
    Alfaro-Almagro, Fidel
    Sharp, Kevin
    Elliott, Lloyd T.
    [J]. NATURE NEUROSCIENCE, 2021, 24 (05) : 737 - 745
  • [49] PhenoScanner: a database of human genotype-phenotype associations
    Staley, James R.
    Blackshaw, James
    Kamat, Mihir A.
    Ellis, Steve
    Surendran, Praveen
    Sun, Benjamin B.
    Paul, Dirk S.
    Freitag, Daniel
    Burgess, Stephen
    Danesh, John
    Young, Robin
    Butterworth, Adam S.
    [J]. BIOINFORMATICS, 2016, 32 (20) : 3207 - 3209
  • [50] Finding genetically-supported drug targets for Parkinson's disease using Mendelian randomization of the druggable genome
    Storm, Catherine S.
    Kia, Demis A.
    Almramhi, Mona M.
    Bandres-Ciga, Sara
    Finan, Chris
    Hingorani, Aroon D.
    Wood, Nicholas W.
    [J]. NATURE COMMUNICATIONS, 2021, 12 (01)