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Knockdown of PPARγ can ameliorate benzbromarone-induced obesity-specific drug-induced liver injury

GSE274748 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/01/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × C vs 5 × BB vs 5 × P vs 5 × PBBGroups 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
Slow Metabolism-Driven Amplification of Hepatic PPARγ Agonism Mediates Benzbromarone-Induced Obesity-Specific Liver InjuryAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Summary (written by the submitters)
Objective: Benzbromarone (BBR) is an effective uric acid-lowering drug. However, it can induce severe liver damage in some patients. Studies have shown that BBR specifically exacerbates hepatic steatosis in obese individuals, leading to aggravated liver injury. The exact mechanism behind this phenomenon remains unclear. Methods: db/db mice were divided into four groups: Control, BBR administration (BBR), Pparg knockdown (Pparg-KD), and BBR administration with Pparg knockdown (BBR + Pparg-KD).
Read the full summary ↓
One week after AAV8-shRNA-Pparg virus injection, mice were orally administered BBR for four weeks, and changes in blood glucose and body weight were measured. Subsequently, samples were collected, and plasma lipid levels, hepatic lipid content, and liver function parameters were determined. RNA-seq was performed to assess changes in the hepatic gene expression profile and analyze the protective effect of PPARγ knockdown on BBR-induced drug-induced liver injury. Results: Mice in the BBR group exhibited more severe levels of plasma lipids, hepatic lipids, and liver function parameters compared to the Control group. However, mice in the BBR + Pparg-KD group showed significant improvements in these indicators compared to the BBR group. Transcriptomic analysis revealed that BBR administration upregulated the expression of various lipid synthesis-related genes, primarily associated with the PPAR signaling pathway. Furthermore, PPARγ knockdown reversed the increased expression of these lipid synthesis genes. This suggests that PPARγ knockdown has a significant protective effect against BBR-induced drug-induced liver injury. Conclusion: Hepatocyte-specific knockdown of PPARγ can protect against BBR-induced exacerbation of hepatic steatosis and liver injury by inhibiting the promotion of lipid synthesis through PPARγ activation.
Published in
Slow Metabolism-Driven Amplification of Hepatic PPARγ Agonism Mediates Benzbromarone-Induced Obesity-Specific Liver Injury
Li G, Hu Y, Zhao H et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025 · PMID 39611414 · doi:10.1002/advs.202409126
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 GSE274748_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 PRJNA1147752 and SRA study SRP526129. Searching any of these in the dataset finder brings you back here.

Study design
5 × C vs 5 × BB vs 5 × P vs 5 × PBB

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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