GEO series

Pregnancy precipitates metabolic imbalance and accelerates death in an animal model of mitochondrial cardiomyopathy

GSE325788 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/04/22 Platform GPL19057

At a glance

RNA-seq (gene expression) · mouse · 30 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: 30 samples: 6 conditions, mostly with about 5 replicates eachGroups 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: Pregnancy precipitates metabolic imbalance and accelerates death in an animal model of mitochondrial cardiomyopathyMolecular metabolism · 2026

Summary (written by the submitters)

During pregnancy, the heart undergoes major physiological and metabolic changes to increase cardiac workload and the demand for energy production is especially elevated during the trial of labor. Normally, cardiac structure and metabolism revert to the pre-pregnancy state shortly after delivery. However, in some cases peripartum/postpartum cardiomyopathy (PPCM) occurs, which increases a person’s risk of major cardiac events following pregnancy.

Read the full summary ↓

The molecular mechanisms underlying PPCM remain poorly understood. In this study, we investigate the transcriptional, metabolic, and bioenergetic profiles of postpartum (PP) hearts in a mouse model of cardiomyopathy caused by the pathogenic p.S55L mutation in the mitochondrial protein coiled-coil-helix-coiled-coil-helix domain containing 10 (CHCHD10). Heterozygote p.S55L mutant CHCHD10 mice develop acute heart failure during the immediate PP period. We observe cardiac remodeling, mitochondrial stress, and profound metabolic rewiring in PP mutant CHCHD10 hearts. Metabolic rewiring results decreased levels of heme and the depletion of key cofactors of energy metabolism, including NAD(H) and ADP. These findings suggest that mutant CHCHD10 hearts fail to meet the increased energy demands associated with the trial of labor due to the insufficient turnover rate of NAD+/NADH and ADP/ATP. We propose that this metabolic insufficiency drives PP mortality in mutant CHCHD10 mice. In support of this hypothesis, dietary supplementation with nicotinamide riboside and pterostilbene, a naturally derived polyphenol, increased PP survival and cardiac energy metabolites in mutant CHCHD10 mice. Our work provides novel insights into the molecular mechanisms of PP cardiomyopathy associated with mitochondrial stress and suggests potential beneficiary effects of dietary NAD(H) supplementation.

Published in

Pregnancy precipitates metabolic imbalance and accelerates death in an animal model of mitochondrial cardiomyopathy

Sayles NM, Casalena G, Zhao D et al. · Molecular metabolism 2026 · PMID 41850395 · doi:10.1016/j.molmet.2026.102352

This dataset

Open GSE325788 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 GSE325788_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 PRJNA1441619 and SRA study SRP686044. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41850395) ↗

Study design

6 conditions, mostly with about 5 replicates each

WT Naïve ×5 WT PP ×5 S55L Naïve ×5 S55L PP ×5 S55L PP_controldiet ×5 S55L PP_EH301diet ×5

Supports a between-group comparison across 30 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 30 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

GSM9613412 WT Naïve_1 WT Naïve
GSM9613413 WT Naïve_2 WT Naïve
GSM9613414 WT Naïve_3 WT Naïve
GSM9613415 WT Naïve_4 WT Naïve
GSM9613416 WT Naïve_5 WT Naïve
GSM9613417 WT PP_1 WT PP
GSM9613418 WT PP_2 WT PP
GSM9613419 WT PP_3 WT PP
GSM9613420 WT PP_4 WT PP
GSM9613421 WT PP_5 WT PP
GSM9613422 S55L Naïve_1 S55L Naïve
GSM9613423 S55L Naïve_2 S55L Naïve
GSM9613424 S55L Naïve_3 S55L Naïve
GSM9613425 S55L Naïve_4 S55L Naïve
GSM9613426 S55L Naïve_5 S55L Naïve
GSM9613427 S55L PP_1 S55L PP
GSM9613428 S55L PP_2 S55L PP
GSM9613429 S55L PP_3 S55L PP
GSM9613430 S55L PP_4 S55L PP
GSM9613431 S55L PP_5 S55L PP
GSM9613432 S55L PP_controldiet_1 S55L PP_controldiet
GSM9613433 S55L PP_controldiet_2 S55L PP_controldiet
GSM9613434 S55L PP_controldiet_3 S55L PP_controldiet
GSM9613435 S55L PP_controldiet_4 S55L PP_controldiet
GSM9613436 S55L PP_controldiet_5 S55L PP_controldiet
GSM9613437 S55L PP_EH301diet_6 S55L PP_EH301diet
GSM9613438 S55L PP_EH301diet_7 S55L PP_EH301diet
GSM9613439 S55L PP_EH301diet_8 S55L PP_EH301diet
GSM9613440 S55L PP_EH301diet_9 S55L PP_EH301diet
GSM9613441 S55L PP_EH301diet_10 S55L PP_EH301diet

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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.