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Repurposing Trazodone for Alzheimer's Disease to Modulate Soluble ST2 Levels and Alleviate Alzheimer's Pathology

GSE314159 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2026/07/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
13 samples: 6 × WT_cortex, CTRL, 2weeks, vs 4 × APP_cortex, TRAZ, 2weeks, vs 3 × APP_cortex, CTRL, 2weeks,Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Alzheimer’s disease (AD) is a multifactorial disorder involving various pathological mechanisms, such as amyloidosis, immune dysfunctions and synaptic impairments, which are important therapeutic targets. Repurposing drugs to target these mechanisms offers a promising approach to reduce the costs and duration of drug development. Notably, genetic studies underscore the role of microglial clearance of amyloid-beta (Aβ) in AD pathogenesis, with soluble ST2 (sST2) identified as a disease-modifying factor that impairs microglial clearance functions.
Read the full summary ↓
In this study, we investigated drug repurposing opportunities to modulate sST2 levels and alleviate AD pathologies. Unbiased screening of common medications in AD patients and validation in model systems identified trazodone, an anti-depressant used to treat major depressive disorder, as a leading negative regulator of sST2. Trazodone primarily regulates sST2 expression through its antagonistic effects on adrenergic signaling. Importantly, trazodone treatment enhanced microglial interaction with Aβ and alleviated Aβ pathology in the APP/PS1 transgenic mouse model of AD. Furthermore, trazodone treatment reduced neurodegeneration and rescued synaptic deficits in APP/PS1 mice. Comprehensive molecular profiling of APP/PS1 mouse brains showed that trazodone restores the expression of synaptic proteins involved in synaptic integrity and plasticity. Collectively, these findings demonstrate that trazodone is a promising repurposing agent for AD that targets the underlying immune dysfunctions and synaptic deficits.
This dataset
Open GSE314159 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314159_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1390184 and SRA study SRP656060. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 × WT_cortex, CTRL, 2weeks, vs 4 × APP_cortex, TRAZ, 2weeks, vs 3 × APP_cortex, CTRL, 2weeks,

Supports a between-group comparison across 13 samples.

How we read this: 3 replicated groups read from 13 sample titles; they account for 13 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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