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Cardiac macrophage CD163 protects pressure overload-induced heart failure via interleukin-10

GSE223346 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/08 Platform GPL28330
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: 3 × WS vs 3 × WT vs 3 × KS vs 3 × KTGroups 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
CD163(+) macrophages attenuate pressure overload-induced left ventricular systolic dysfunction and cardiac mitochondrial dysfunction via interleukin-10Basic research in cardiology · 2025
Summary (written by the submitters)
Cardiac macrophages (cMacs) elimination exacerbates pressure overload-induced heart failure. However, the role of functionally distinct subsets of cMacs in heart failure remains largely unknown. CD163, a macrophage-specific scavenger receptor expressed in a subset of cMacs, has been associated with cardiovascular events through its circulating soluble form.
Read the full summary ↓
This study aimed to elucidate the functional role of the CD163+ cMacs subset in pressure overload-induced heart failure. Transverse aortic constriction (TAC) was used to induce pressure overload. TAC-induced left ventricular systolic dysfunction, characterized by reduced ejection fraction and fractional shortening, was significantly aggravated in Cd163−/− mice post-surgery. Genes differentially expressed due to CD163 deficiency were enriched in pathways related to mitochondrial bioenergetics and homeostasis. Transmission electron microscopy revealed an increase in dysfunctional mitochondria in cardiomyocytes of Cd163−/− mice post-TAC. Additionally, decreased serum interleukin (IL)-10 levels and reduced IL-10 expression in cMacs were observed in Cd163−/− mice post-TAC. IL-10 supplementation significantly reversed TAC-induced reductions in left ventricular systolic function in Cd163−/− mice and improved mitochondrial functions in cardiomyocytes. Furthermore, decreased IL-10 levels and increased soluble CD163 were identified as risk factors for heart failure in hypertensive patients. Thus, CD163 in cMacs attenuates pressure overload-induced left ventricular systolic dysfunction through IL-10.
Published in
CD163(+) macrophages attenuate pressure overload-induced left ventricular systolic dysfunction and cardiac mitochondrial dysfunction via interleukin-10
Ni W, Ge X, Liu Y et al. · Basic research in cardiology 2025 · PMID 40343453 · doi:10.1007/s00395-025-01114-z
This dataset
Open GSE223346 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 GSE223346_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 PRJNA925852 and SRA study SRP418431. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40343453) ↗
Study design
3 × WS vs 3 × WT vs 3 × KS vs 3 × KT

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
Datasets on a similar topic

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