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Chronic periodontitis induces neurobehavioral deficits via microbiota–glia–endocrine interactions [RNA-Seq]

GSE299912 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/08/28 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × PC_Co vs 5 × PC_Li vs 5 × cere_Co vs 5 × cere_LiGroups 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)
Periodontitis is increasingly linked to diverse brain disorders, yet causal mechanisms remain elusive. Here we demonstrate that ligature-induced oral dysbiosis in mice is sufficient to perturb central function. Six weeks of periodontitis produced anxiety-like behavior and motor deficits, accompanied by microglial depletion, reduced neuronal activity and region-selective transcriptional down-regulation in the frontal cortex.
Read the full summary ↓
Pharmacological microglial ablation phenocopied, and glucocorticoid-receptor blockade rescued, these abnormalities, implicating microglia and activation of the hypothalamic–pituitary–adrenal axis. 16S rRNA gene sequencing revealed significant shifts in oral and gut microbiota that were partially normalized by a broad-spectrum antibiotic cocktail. Antibiotics alone elevated corticosterone but did not affect microglia or behavior, indicating that dysbiosis and glucocorticoids act synergistically on the brain dysfunction. Antibiotic treatment restored microglial density and behaviors in ligature mice, despite plasma corticosterone levels remaining elevated and comparable to those in antibiotic-treated controls. Our findings suggest oral dysbiosis as a tractable driver of neuroimmune dysfunction and redefine periodontitis as a systemic disorder with direct consequences for brain health.
This dataset
Open GSE299912 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 GSE299912_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 PRJNA1277304 and SRA study SRP592313. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × PC_Co vs 5 × PC_Li vs 5 × cere_Co vs 5 × cere_Li

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.