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Mitochondrial NNT Promotes Diastolic Dysfunction in Cardiometabolic HFpEF

GSE304446 Mus musculus (mouse) Single-nucleus RNA-seq 12 samples Submitted 2025/08/08 Platform GPL24247
At a glance

Single-nucleus RNA-seq · mouse · 12 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 samples: 3 × LV tissue, C57BL/6N mouse, Control diet, vs 3 × LV tissue, C57BL/6J mouse, Control diet, vs 3 × LV tissue, C57BL/6N mouse, HFpEF diet, vs 3 × LV tissue, C57BL/6J mouse, HFpEF diet,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.
Paper
Mitochondrial NNT Promotes Diastolic Dysfunction in Cardiometabolic HFpEFCirculation research · 2025
Summary (written by the submitters)
BACKGROUND: Clinical management of heart failure with preserved ejection fraction (HFpEF) is hindered by a lack of disease-modifying therapies capable of altering its distinct pathophysiology. Despite the widespread implementation of a 2-hit model of cardiometabolic HFpEF to inform precision therapy, which utilizes HFD+L-NAME (ad libitum high-fat diet and 0.5% N[ω]-nitro-L-arginine methyl ester), we observe that C57BL6/J mice exhibit less cardiac diastolic dysfunction in response to HFD+L-NAME.
Read the full summary ↓
METHODS: Genetic strain-specific single-nucleus transcriptomic analysis identified disease-relevant genes that enrich oxidative metabolic pathways within cardiomyocytes. Because C57BL/6J mice are known to harbor a loss-of-function mutation affecting the inner mitochondrial membrane protein Nnt (nicotinamide nucleotide transhydrogenase), we established an isogenic model of Nnt loss-of-function to determine whether intact NNT is necessary for the pathological cardiac manifestations of HFD+L-NAME. Twelve-week-old mice cross-bred to isolate wild-type (Nnt+/+) or loss-of-function (Nnt−/−) Nnt in the C57BL/6N background were challenged with HFD+L-NAME for 9 weeks (N=6–10). RESULTS: Nnt+/+ mice exhibited impaired ventricular diastolic relaxation and pathological remodeling, as assessed via noninvasive echocardiographic quantification of early diastolic pulse-wave velocity (E) to mitral annular velocity (e′) ratio (E/e′) (42.8 versus 21.5, P=1.2×10−10), E/A (early-to-late mitral inflow velocity ratio) (2.3 versus 1.4, P=4.1×10−2), diastolic stiffness (0.09 versus 0.04 mm Hg/μL, P=5.1×10−3), and myocardial fibrosis (P=2.3×10−2). Liquid chromatography and mass spectroscopy exposed a 40.0% reduction in NAD+ (P=8.4×10−3) and a 38.8% reduction in the ratio of reduced-to-oxidized glutathione (GSH: GSSG, P=2.6×10−2) among Nnt+/+ mice after HFD+L-NAME feeding. Using single-nucleus ligand-receptor analysis, we implicate Fgf1 (fibroblast growth factor 1) as a putative NNT-dependent mediator of cardiomyocyte-to-fibroblast signaling in myocardial fibrosis. CONCLUSIONS: Together, these findings underscore the pivotal role of mitochondrial dysfunction in HFpEF pathogenesis, implicating both NNT and Fgf1 as novel therapeutic targets.
Published in
Mitochondrial NNT Promotes Diastolic Dysfunction in Cardiometabolic HFpEF
Pepin ME, Konrad PJM, Nazir S et al. · Circulation research 2025 · PMID 40340422 · doi:10.1161/CIRCRESAHA.125.326154
This dataset
Open GSE304446 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 GSE304446_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1301320 and SRA study SRP606377. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40340422) ↗
Study design
3 × LV tissue, C57BL/6N mouse, Control diet, vs 3 × LV tissue, C57BL/6J mouse, Control diet, vs 3 × LV tissue, C57BL/6N mouse, HFpEF diet, vs 3 × LV tissue, C57BL/6J mouse, HFpEF diet,

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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