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Brain expression of the vascular endothelial growth factor gene family in cognitive aging and alzheimer's disease.

Emily R Mahoney | Logan Dumitrescu | Annah M Moore | Francis E Cambronero | Philip L De Jager | Mary Ellen I Koran | Vladislav A Petyuk | Renã A S Robinson | Sandeep Goyal | Julie A Schneider | David A Bennett | Angela L Jefferson | Timothy J Hohman
Molecular psychiatry | 2021

Vascular endothelial growth factor (VEGF) is associated with the clinical manifestation of Alzheimer's disease (AD). However, the role of the VEGF gene family in neuroprotection is complex due to the number of biological pathways they regulate. This study explored associations between brain expression of VEGF genes with cognitive performance and AD pathology. Genetic, cognitive, and neuropathology data were acquired from the Religious Orders Study and Rush Memory and Aging Project. Expression of ten VEGF ligand and receptor genes was quantified using RNA sequencing of prefrontal cortex tissue. Global cognitive composite scores were calculated from 17 neuropsychological tests. β-amyloid and tau burden were measured at autopsy. Participants (n = 531) included individuals with normal cognition (n = 180), mild cognitive impairment (n = 148), or AD dementia (n = 203). Mean age at death was 89 years and 37% were male. Higher prefrontal cortex expression of VEGFB, FLT4, FLT1, and PGF was associated with worse cognitive trajectories (p ≤ 0.01). Increased expression of VEGFB and FLT4 was also associated with lower cognition scores at the last visit before death (p ≤ 0.01). VEGFB, FLT4, and FLT1 were upregulated among AD dementia compared with normal cognition participants (p ≤ 0.03). All four genes associated with cognition related to elevated β-amyloid (p ≤ 0.01) and/or tau burden (p ≤ 0.03). VEGF ligand and receptor genes, specifically genes relevant to FLT4 and FLT1 receptor signaling, are associated with cognition, longitudinal cognitive decline, and AD neuropathology. Future work should confirm these observations at the protein level to better understand how changes in VEGF transcription and translation relate to neurodegenerative disease.

Pubmed ID: 31332262

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Associated grants

  • Agency: NIA NIH HHS, United States
    Id: R01 AG056534
  • Agency: NIA NIH HHS, United States
    Id: P50 AG016574
  • Agency: NIA NIH HHS, United States
    Id: U01 AG046170
  • Agency: NIA NIH HHS, United States
    Id: R01 AG061518
  • Agency: NIA NIH HHS, United States
    Id: R01 AG017917
  • Agency: NIA NIH HHS, United States
    Id: P30 AG010161
  • Agency: NIA NIH HHS, United States
    Id: R01 AG032990
  • Agency: NIH HHS, United States
    Id: S10 OD023680
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS100980
  • Agency: NIA NIH HHS, United States
    Id: P01 AG017216
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000445
  • Agency: NIA NIH HHS, United States
    Id: U01 AG046152
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS080820
  • Agency: NIA NIH HHS, United States
    Id: R01 AG059716
  • Agency: NICHD NIH HHS, United States
    Id: K12 HD043483
  • Agency: NIA NIH HHS, United States
    Id: U01 AG046139
  • Agency: NIA NIH HHS, United States
    Id: P01 AG003949
  • Agency: NINDS NIH HHS, United States
    Id: U24 NS072026
  • Agency: NIA NIH HHS, United States
    Id: K01 AG049164
  • Agency: NIA NIH HHS, United States
    Id: P30 AG019610
  • Agency: NIA NIH HHS, United States
    Id: P50 AG025711
  • Agency: NIA NIH HHS, United States
    Id: K24 AG046373
  • Agency: NIA NIH HHS, United States
    Id: R01 AG034962
  • Agency: NIA NIH HHS, United States
    Id: R01 AG018023
  • Agency: NIA NIH HHS, United States
    Id: U01 AG006786
  • Agency: NIA NIH HHS, United States
    Id: R01 AG015819

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Bowtie (tool)

RRID:SCR_005476

Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.

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RSEM (tool)

RRID:SCR_013027

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

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