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SGLT2 inhibitor upregulates myocardial genes for oxidative phosphorylation and fatty acid metabolism in Gαq mice (genotype x ERTU)

GSE268984 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/04/30 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 5 × Gαq CD vs 5 × WT ERTU vs 4 × WT CD vs 4 × Gαq ERTUGroups 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
SGLT2 inhibitor upregulates myocardial genes for oxidative phosphorylation and fatty acid metabolism in Gαq-miceJournal of molecular and cellular cardiology plus · 2025
Summary (written by the submitters)
Background. Mitochondrial dysfunction with decreased ATP production and increased release of reactive oxygen species (ROS) is a hallmark of the failing heart. Although SGLT2 inhibitors have been shown to improve myocardial metabolism in the failing heart, independent of diabetes, the mechanism of this effect is not clear. Objectives.
Read the full summary ↓
Our goal was to test the effect of the SGLT2 inhibitor ertugliflozin on mitochondrial gene expression and function in myocardium and isolated mitochondria from non-diabetic mice with dilated cardiomyopathy due to cardiac-specific over-expression of Gαq. Methods. Gαq and wild-type (WT) littermates 4 weeks of age were treated for 16 weeks with or without the SGLT2 inhibitor ertugliflozin (ERTU) formulated in the chow (0.5 mg/g chow). Results. From weeks 4 to 20, Gαq mice developed progressive cardiac hypertrophy, dilation, contractile dysfunction, myocyte apoptosis and interstitial fibrosis – all of which were prevented by ERTU treatment. Isolated cardiac mitochondria from Gαq mice had decreased maximal ATP production and increased ROS release - both of which were normalized by ERTU. In isolated beating hearts from Gαq mice, contractile reserve and high energy phosphates measured simultaneously by 31P NMR spectroscopy were decreased - and both were improved by ERTU. In Gαq mice, marked suppression of myocardial gene programs for oxidative phosphorylation and fatty acid metabolism was reversed by ERTU. Conclusions. The SGLT2 inhibitor ERTU corrected the expression of myocardial gene programs for oxidative phosphorylation and fatty acid metabolism, thereby leading to increased production of ATP, decreased release of mitochondrial ROS, and amelioration of the consequences of mitochondrial dysfunction on myocardial structure and function.
Published in
SGLT2 inhibitor upregulates myocardial genes for oxidative phosphorylation and fatty acid metabolism in Gαq-mice
Chambers JM, Croteau D, Pimentel DR et al. · Journal of molecular and cellular cardiology plus 2025 · PMID 40291834 · doi:10.1016/j.jmccpl.2025.100296
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 GSE268984_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 PRJNA1119559 and SRA study SRP511481. Searching any of these in the dataset finder brings you back here.

Study design
5 × Gαq CD vs 5 × WT ERTU vs 4 × WT CD vs 4 × Gαq ERTU

Supports a between-group comparison across 18 samples.

How we read this: 4 replicated groups read from 18 sample titles; they account for 18 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
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