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1000 Titel
  • Sex specific molecular networks and key drivers of Alzheimer’s disease
1000 Autor/in
  1. Guo, Lei |
  2. Cao, Jiqing |
  3. Hou, Jianwei |
  4. Li, Yonghe |
  5. Huang, Min |
  6. Zhu, Li |
  7. Zhang, Larry |
  8. Lee, Yeji |
  9. Duarte, Mariana Lemos |
  10. Zhou, Xianxiao |
  11. Wang, Minghui |
  12. Liu, Chia-Chen |
  13. Martens, Yuka |
  14. Chao, Michael |
  15. Goate, Alison |
  16. Bu, Guojun |
  17. Haroutunian, Vahram |
  18. Cai, Dongming |
  19. ZHANG, BIN |
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-06-20
1000 Erschienen in
1000 Quellenangabe
  • 18(1):39
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13024-023-00624-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280841/ |
1000 Ergänzendes Material
  • https://molecularneurodegeneration.biomedcentral.com/articles/10.1186/s13024-023-00624-5#Sec27 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Alzheimer’s disease (AD) is a progressive and age-associated neurodegenerative disorder that affects women disproportionally. However, the underlying mechanisms are poorly characterized. Moreover, while the interplay between sex and ApoE genotype in AD has been investigated, multi-omics studies to understand this interaction are limited. Therefore, we applied systems biology approaches to investigate sex-specific molecular networks of AD. METHODS: We integrated large-scale human postmortem brain transcriptomic data of AD from two cohorts (MSBB and ROSMAP) via multiscale network analysis and identified key drivers with sexually dimorphic expression patterns and/or different responses to APOE genotypes between sexes. The expression patterns and functional relevance of the top sex-specific network driver of AD were further investigated using postmortem human brain samples and gene perturbation experiments in AD mouse models. RESULTS: Gene expression changes in AD versus control were identified for each sex. Gene co-expression networks were constructed for each sex to identify AD-associated co-expressed gene modules shared by males and females or specific to each sex. Key network regulators were further identified as potential drivers of sex differences in AD development. LRP10 was identified as a top driver of the sex differences in AD pathogenesis and manifestation. Changes of LRP10 expression at the mRNA and protein levels were further validated in human AD brain samples. Gene perturbation experiments in EFAD mouse models demonstrated that LRP10 differentially affected cognitive function and AD pathology in sex- and APOE genotype-specific manners. A comprehensive mapping of brain cells in LRP10 over-expressed (OE) female E4FAD mice suggested neurons and microglia as the most affected cell populations. The female-specific targets of LRP10 identified from the single cell RNA-sequencing (scRNA-seq) data of the LRP10 OE E4FAD mouse brains were significantly enriched in the LRP10-centered subnetworks in female AD subjects, validating LRP10 as a key network regulator of AD in females. Eight LRP10 binding partners were identified by the yeast two-hybrid system screening, and LRP10 over-expression reduced the association of LRP10 with one binding partner CD34. CONCLUSION: These findings provide insights into key mechanisms mediating sex differences in AD pathogenesis and will facilitate the development of sex- and APOE genotype-specific therapies for AD.
1000 Sacherschließung
lokal Key driver genes
lokal LDL receptor related protein 10 (LRP10)
lokal Sex difference
lokal Alzheimer's disease
lokal Gene co-expression network
lokal APOE genotype
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R3VvLCBMZWk=|https://frl.publisso.de/adhoc/uri/Q2FvLCBKaXFpbmc=|https://frl.publisso.de/adhoc/uri/SG91LCBKaWFud2Vp|https://frl.publisso.de/adhoc/uri/TGksIFlvbmdoZQ==|https://frl.publisso.de/adhoc/uri/SHVhbmcsIE1pbg==|https://frl.publisso.de/adhoc/uri/Wmh1LCBMaQ==|https://frl.publisso.de/adhoc/uri/WmhhbmcsIExhcnJ5|https://frl.publisso.de/adhoc/uri/TGVlLCBZZWpp|https://frl.publisso.de/adhoc/uri/RHVhcnRlLCBNYXJpYW5hIExlbW9z|https://frl.publisso.de/adhoc/uri/WmhvdSwgWGlhbnhpYW8=|https://frl.publisso.de/adhoc/uri/V2FuZywgTWluZ2h1aQ==|https://frl.publisso.de/adhoc/uri/TGl1LCBDaGlhLUNoZW4=|https://frl.publisso.de/adhoc/uri/TWFydGVucywgWXVrYQ==|https://frl.publisso.de/adhoc/uri/Q2hhbywgTWljaGFlbA==|https://frl.publisso.de/adhoc/uri/R29hdGUsIEFsaXNvbg==|https://frl.publisso.de/adhoc/uri/QnUsIEd1b2p1bg==|https://frl.publisso.de/adhoc/uri/SGFyb3V0dW5pYW4sIFZhaHJhbQ==|https://frl.publisso.de/adhoc/uri/Q2FpLCBEb25nbWluZw==|http://orcid.org/0000-0002-9549-5653
1000 Label
1000 Förderer
  1. National Institutes of Health |
  2. U.S. Department of Veterans Affairs |
1000 Fördernummer
  1. RF1AG048923;RF1AG054014;RO1AG068030;R56AG058655;RF1AG074010
  2. I01BX003380;I01RX002290;UO1AG046170;RF1AG057440;RO1AG057907;UO1AG052411
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Institutes of Health |
    1000 Förderprogramm -
    1000 Fördernummer RF1AG048923;RF1AG054014;RO1AG068030;R56AG058655;RF1AG074010
  2. 1000 joinedFunding-child
    1000 Förderer U.S. Department of Veterans Affairs |
    1000 Förderprogramm -
    1000 Fördernummer I01BX003380;I01RX002290;UO1AG046170;RF1AG057440;RO1AG057907;UO1AG052411
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6462085.rdf
1000 Erstellt am 2023-10-19T14:27:03.472+0200
1000 Erstellt von 337
1000 beschreibt frl:6462085
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Tue Oct 24 08:39:45 CEST 2023
1000 Objekt bearb. Tue Oct 24 08:39:15 CEST 2023
1000 Vgl. frl:6462085
1000 Oai Id
  1. oai:frl.publisso.de:frl:6462085 |
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