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Senolytic and anti-inflammatory efficacy of quercetin in men and women undergoing coronary artery by-pass surgery

GSE278420 Homo sapiens (human) Single-nucleus RNA-seq 12 samples Submitted 2025/07/02 Platform GPL24676
At a glance

Single-nucleus RNA-seq · human · 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
Homo sapiens (human)
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
Quercetin Reduces Vascular Senescence and Inflammation in Symptomatic Male but Not Female Coronary Artery Disease PatientsAging cell · 2025
Summary (written by the submitters)
Recent studies suggest that vascular senescence and its associated inflammation could fuel the so-called inflammaging to favor atherogenesis; whether these pathways can be inactivated in CAD patients (male and female) is unknown. We performed a randomized, double-blind trial involving patients undergoing an elective coronary artery by-pass graft surgery.
Read the full summary ↓
The patients were randomly assigned to receive either quercetin (500 mg twice daily) or placebo starting two days before surgery. The primary efficacy end point was a reduction in post-operative systemic inflammation. The secondary efficacy end-point was an improved endothelial function ex vivo of discarded segments of internal thoracic artery (ITA). The exploratory end-point was to acquire a vascular transcriptomic signature per treatment and sex by single nucleus RNA sequencing. A total of 97 patients (78 men) were recruited, 50 were assigned to the placebo group and 47 to the quercetin group. In the intent-to-treat population (ITT), quercetin tended to reduce C-reactive protein at hospital discharge (F value 3.39; p=0.073); this tendency was confirmed by a plasma proteomic analysis revealing a significant shift of differentially expressed inflammatory proteins between sexes (-48 in men and +12 in women). Quercetin increased endothelial sensitivity to acetylcholine-dependent relaxation (F value 4.01; p=0.0487). In a sub-group analysis, this effect of quercetin remained significant in men (F value 3.92; p=0.0513) but not in women (F value 0.17; p=0.678). The transcriptomic signature of the ITA revealed overexpression of classic cellular senescence pathways of both replicative- and stress-induced senescence, together with an inflammatory signature typical of inflammaging and oxidative stress; quercetin reversed this signature towards reduced senescence, stress and inflammation. In female ITA, the response to quercetin was heterogeneous and limited in efficacy, with a “cooling” of the endothelium, but a promotion of the inflammaging signature in fibroblasts. No adverse events were reported. Quercetin reduced global post-operative inflammation and improved endothelial dysfunction in the ITT population; men benefited from quercetin but not women. This study suggests that a hit-and-run senolytic strategy to reduce the vascular inflammaging may benefit men more than women with CAD.
Published in
Quercetin Reduces Vascular Senescence and Inflammation in Symptomatic Male but Not Female Coronary Artery Disease Patients
Mury P, Dagher O, Fortier A et al. · Aging cell 2025 · PMID 40375481 · doi:10.1111/acel.70108
This dataset
Open GSE278420 in finder → Find more human 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 GSE278420_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 PRJNA1167231 and SRA study SRP535717. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40375481) ↗
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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