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Mitochondrial NAD+ deficiency in vascular smooth muscle impairs collagen III turnover to trigger thoracic and abdominal aortic aneurysm

GSE235161 Homo sapiens (human) RNA-seq (gene expression) 42 samples Submitted 2024/11/19 Platform GPL23227
At a glance

RNA-seq (gene expression) · human · 42 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
Homo sapiens (human)
Samples
42 samples: 42 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
Mitochondrial NAD(+) deficiency in vascular smooth muscle impairs collagen III turnover to trigger thoracic and abdominal aortic aneurysmNature cardiovascular research · 2025
Summary (written by the submitters)
Thoracic and abdominal aortic aneurysm poses a substantial mortality risk in adults, yet many of its underlying factors remain unidentified. Here, we identify mitochondrial nicotinamide adenine dinucleotide (NAD)⁺ deficiency as a causal factor for the development of aortic aneurysm. Multiomics analysis of 150 surgical aortic specimens indicated impaired NAD+ salvage and mitochondrial transport in human thoracic aortic aneurysm, with expression of the NAD+ transporter SLC25A51 inversely correlating with disease severity and postoperative progression.
Read the full summary ↓
Genome-wide gene-based association analysis further linked low SLC25A51 expression to risk of aortic aneurysm and dissection. In mouse models, smooth muscle-specific knockout of Nampt, Nmnat1, Nmnat3, Slc25a51, Nadk2 and Aldh18a1, genes involved in NAD+ salvage and transport, induced aortic aneurysm, with Slc25a51 deletion producing the most severe effects. Using these models, we suggest a mechanism that may explain the disease pathogenesis: the production of type III procollagen during aortic medial matrix turnover imposes a high demand for proline, an essential amino acid component of collagen. Deficiency in the mitochondrial NAD⁺ pool, regulated by NAD⁺ salvage and transport, hinders proline biosynthesis in mitochondria, contributing to thoracic and abdominal aortic aneurysm.
Published in
Mitochondrial NAD(+) deficiency in vascular smooth muscle impairs collagen III turnover to trigger thoracic and abdominal aortic aneurysm
Zhang J, Tang Y, Zhang S et al. · Nature cardiovascular research 2025 · PMID 39843801 · doi:10.1038/s44161-024-00606-w
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 GSE235161_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 PRJNA984692 and SRA study SRP444429. Searching any of these in the dataset finder brings you back here.

Study design
42 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 42 sample titles: 42 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.