Summary of Study ST003501
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002147. The data can be accessed directly via it's Project DOI: 10.21228/M83F9Q This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST003501 |
| Study Title | TREM2 expression level is critical for microglial state, metabolic capacity and efficacy of TREM2 agonism |
| Study Summary | Triggering receptor expressed on myeloid cells 2 (TREM2) is a central regulator of microglial activity and sequence variants are major risk factors for late onset Alzheimer’s disease (LOAD). To better understand the molecular and functional changes associated with TREM2 signalling, we generated a TREM2 reporter mouse model and observed a gradual upregulation of reporter expression with increasing plaque proximity. Isolated microglia were sorted based on reporter expression and their transcriptomic profiles acquired in both wildtype and APP transgenic animals, allowing us to disentangle TREM2 versus pathology-specific effects. Bulk RNA sequencing highlighted TREM2 level-dependent changes in major immunometabolic pathways, with enrichment of genes in oxidative phosphorylation and cholesterol metabolism in microglia with increased TREM2 expression. To confirm these findings, we next analysed uptake of fluorodeoxyglucose (FDG) and examined metabolomic and lipidomic profiles. Again, independent of Aβ pathology, TREM2 expression correlated with uptake of FDG as well as increased cellular redox, energetics, and cholesterol homeostasis. Finally, we performed chronic treatment with a brain penetrant TREM2 agonist and identified a window of TREM2 expression where microglia are most responsive. Thus, our data provide novel insights into TREM2-mediated regulation of microglial metabolic function and informs current efforts to bring TREM2 agonists into clinical application. |
| Institute | Denali Therapeutics |
| Last Name | Suh |
| First Name | Jung |
| Address | 161 Oyster Point Blvd, South San Francisco, California, 94080, USA |
| suh@dnli.com | |
| Phone | +1 6507973837 |
| Submit Date | 2024-09-19 |
| Num Groups | 5 |
| Total Subjects | 26 |
| Num Males | 26 |
| Study Comments | Release as soon as it is possible |
| Publications | https://www.biorxiv.org/content/10.1101/2024.07.18.604115v1 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-09-30 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
| mb_sample_id | local_sample_id | genotype | condition | group | Sample source |
|---|---|---|---|---|---|
| SA385741 | HSA-000019577 | APP | high | high_disease | microglia |
| SA385742 | HSA-000019588 | APP | high | high_disease | microglia |
| SA385743 | HSA-000019595 | APP | high | high_disease | microglia |
| SA385744 | HSA-000019574 | APP | high | high_disease | microglia |
| SA385745 | HSA-000019593 | APP | low | low_disease | microglia |
| SA385746 | HSA-000019575 | APP | low | low_disease | microglia |
| SA385747 | HSA-000019586 | APP | low | low_disease | microglia |
| SA385748 | HSA-000019572 | APP | low | low_disease | microglia |
| SA385749 | HSA-000019573 | APP | mid | mid_disease | microglia |
| SA385750 | HSA-000019594 | APP | mid | mid_disease | microglia |
| SA385751 | HSA-000019587 | APP | mid | mid_disease | microglia |
| SA385752 | HSA-000019576 | APP | mid | mid_disease | microglia |
| SA385753 | HSA-000019616 | NA | NA | NA | microglia |
| SA385754 | HSA-000019617 | NA | NA | NA | microglia |
| SA385755 | HSA-000019615 | NA | NA | NA | microglia |
| SA385756 | HSA-000019580 | WT | low | low_healthy | microglia |
| SA385757 | HSA-000019570 | WT | low | low_healthy | microglia |
| SA385758 | HSA-000019578 | WT | low | low_healthy | microglia |
| SA385759 | HSA-000019584 | WT | low | low_healthy | microglia |
| SA385760 | HSA-000019589 | WT | low | low_healthy | microglia |
| SA385761 | HSA-000019582 | WT | low | low_healthy | microglia |
| SA385762 | HSA-000019591 | WT | low | low_healthy | microglia |
| SA385763 | HSA-000019571 | WT | mid | mid_healthy | microglia |
| SA385764 | HSA-000019592 | WT | mid | mid_healthy | microglia |
| SA385765 | HSA-000019583 | WT | mid | mid_healthy | microglia |
| SA385766 | HSA-000019590 | WT | mid | mid_healthy | microglia |
| SA385767 | HSA-000019579 | WT | mid | mid_healthy | microglia |
| SA385768 | HSA-000019585 | WT | mid | mid_healthy | microglia |
| SA385769 | HSA-000019581 | WT | mid | mid_healthy | microglia |
| Showing results 1 to 29 of 29 |
