Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Microglia regulate brain progranulin levels through the endocytosis/lysosomal pathway
Tingting Dong, Leon Tejwani, Youngseob Jung, Hiroshi Kokubu, Kimberly Luttik, Terri M. Driessen, Janghoo Lim
Tingting Dong, Leon Tejwani, Youngseob Jung, Hiroshi Kokubu, Kimberly Luttik, Terri M. Driessen, Janghoo Lim
View: Text | PDF
Research Article Neuroscience

Microglia regulate brain progranulin levels through the endocytosis/lysosomal pathway

  • Text
  • PDF
Abstract

Genetic variants in Granulin (GRN), which encodes the secreted glycoprotein progranulin (PGRN), are associated with several neurodegenerative diseases, including frontotemporal lobar degeneration, neuronal ceroid lipofuscinosis, and Alzheimer’s disease. These genetic alterations manifest in pathological changes due to a reduction of PGRN expression; therefore, identifying factors that can modulate PGRN levels in vivo would enhance our understanding of PGRN in neurodegeneration and could reveal novel potential therapeutic targets. Here, we report that modulation of the endocytosis/lysosomal pathway via reduction of Nemo-like kinase (Nlk) in microglia, but not in neurons, can alter total brain Pgrn levels in mice. We demonstrate that Nlk reduction promotes Pgrn degradation by enhancing its trafficking through the endocytosis/lysosomal pathway, specifically in microglia. Furthermore, genetic interaction studies in mice showed that Nlk heterozygosity in Grn haploinsufficient mice further reduces Pgrn levels and induces neuropathological phenotypes associated with PGRN deficiency. Our results reveal a mechanism for Pgrn level regulation in the brain through the active catabolism by microglia and provide insights into the pathophysiology of PGRN-associated diseases.

Authors

Tingting Dong, Leon Tejwani, Youngseob Jung, Hiroshi Kokubu, Kimberly Luttik, Terri M. Driessen, Janghoo Lim

×

Figure 6

Nlk+/– Grn+/– mice display FTLD-like neuropathological phenotypes.

Options: View larger image (or click on image) Download as PowerPoint

Nlk+/– Grn+/– mice display FTLD-like neuropathological phenotypes.
(A–C...
(A–C) Increased microglial activation in Nlk+/– Grn+/– mice compared with their littermates. Representative confocal images (A) and quantification (B and C) of Iba1 and CD68 staining from the thalamus of 1-year-old mice. (B) The number of Iba1-positive microglia was increased in the thalamus of Nlk+/– Grn+/– mice. *P < 0.05, **P < 0.01, ***P < 0.001; 1-way ANOVA with Tukey’s multiple comparisons post hoc test; F(3,18)=10.72, P = 0.0003. (C) CD68-positive vesicle volume in Iba1-positive microglia was also increased in Nlk+/– Grn+/– mice. ****P < 0.0001; 1-way ANOVA with Tukey’s multiple comparisons post hoc test; F(3,19)=82.22, P < 0.0001. (D and E) Representative images (D) and quantification (E) of autofluorescence using 488 nm excitation in the retina of 1-year-old WT, Nlk+/–, Grn+/–, and Nlk+/– Grn+/– mice. *P < 0.05, **P < 0.01; 1-way ANOVA with Tukey’s multiple comparisons post hoc test; F(3,19)=8.327, P = 0.0010. (F and G) Representative images (F) and quantification (G) of 1-year old WT, Nlk+/–, Grn+/–, and Nlk+/– Grn+/– mouse retinas stained for Brn3a (green) and DAPI (blue). ****P < 0.0001; 1-way ANOVA with Tukey’s multiple comparisons post hoc test; F(3,40)=20.52, P < 0.0001.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts