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Uncovering altered neural molecular mechanisms in metabolic disorders induced psychiatric disorders

GSE272983 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/06/30 Platform GPL30215
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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.
Paper
Elucidating neural molecular mechanisms underlying metabolic disorders-induced neuropsychiatric disorders in mice on prolonged high fructose dietMetabolic brain disease · 2025
Summary (written by the submitters)
Lifestyle changes involving high caloric diet, sedentary life, and/or persistent stress appear to play a role in the onset of metabolic syndrome (MetS), which is characterized by hyperglycemia, hyperinsulinemia, dyslipidemia, obesity, and type-2 diabetes. MetS in the long run appears to have cerebrovascular consequences, resulting in neuropsychiatric disorders.
Read the full summary ↓
However, there is a paucity of molecular studies using relevant animal models of metabolic disorder-induced neuropsychiatric disorders. Here, we tried to model the clinical conditions of MetS by feeding C57bl/6 Ncrl mice a high fructose diet (Hfr) for almost 12 months. Random glucose, fasting glucose, glucose tolerance, and triglycerides did not differ significantly between the Hfr diet and Control diet (Cont) groups even after a year on the Hfr diet, except for the accelerated aging-like phenotype in coat color and shiny texture. However, exposure to chronic stress for a week induced metabolic disorder as reflected in high post-prandial blood glucose in the Hfr group, and subsequently mood disorder (depression and anxiety) (p<0.01) and cognitive disorder (p<0.01) as indicated by the behavioral tests. To uncover the underlying molecular mechanisms in the prefrontal cortex, a transcriptomic study was performed. The data analysis revealed hundreds of differentially expressed genes (DEGs) between the groups (i.e., HfrUST vs CoUST = 348 genes; CoST vs CoUST = 496 genes; HfrST vs HfrUST =226 genes and HfrST vs CoST= 18 genes). The pattern of gene expression was strikingly different in the HfrST group compared to the Ctrl group, thus correlating the phenotype, i.e. MetS induced mood and cognitive disorders. Pathway analysis of the DEGs indicated perturbations in cellular metabolism, inflammation, innate immunity, neurogenesis, vasculogenesis, ion channels, and neuronal signaling. In addition, altered epigenetic regulators appear to mediate the stress-induced precipitation of metabolic and neuropsychiatric disorders. The outcome of our study supports the hypothesis of disease susceptibility due to lifestyle changes involving a high-calorie diet and chronic stress.
Published in
Elucidating neural molecular mechanisms underlying metabolic disorders-induced neuropsychiatric disorders in mice on prolonged high fructose diet
Singh S, Singh NK, Srividya K et al. · Metabolic brain disease 2025 · PMID 40526287 · doi:10.1007/s11011-025-01648-0
This dataset
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.

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 GSE272983_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1139747 and SRA study SRP522011. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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
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