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Glomerular Haematopoietic Prostaglandin D Synthase‐Prostaglandin D2 Axis Contributes to the Periodontitis‐Related Exacerbation of Diabetic Nephropathy in KK‐Ay Mice

GSE261386 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/03 Platform GPL24247
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: 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
Glomerular Haematopoietic Prostaglandin D Synthase-Prostaglandin D2 Axis Contributes to the Periodontitis-Related Exacerbation of Diabetic Nephropathy in KK-A(y) MiceJournal of clinical periodontology · 2025
Summary (written by the submitters)
Diabetic nephropathy (DN) is the leading cause of dialysis and is associated with cardiovascular diseases. To prevent the progression of DN, not only glycemic control but also intervention to exacerbating factors such as chronic inflammation and infection. Recent clinical studies have shown the possible association between chronic kidney disease including DN, and periodontitis.
Read the full summary ↓
However, the causal relationship that periodontitis could contribute to the progression of DN and its molecular mechanisms has not been understood. In the present study, we investigated ligature-induced experimental periodontitis that might exacerbate glomerular pathology in a DN model KK-Ay mice and the underlying molecular mechanisms. KK-Ay mice with experimental periodontitis showed significantly increased urinary albumin to creatinine ratio, and glomerular pathologies such as glomerular size, mesangial expansion area, fibrotic area, and number of CD68-positive leukocytes compared to those without ligatures. RNA-sequencing in the glomeruli revealed that hematopoietic prostaglandin d2 synthase (Hpgds) was the possible factor bridging periodontitis with the progression of DN. We also found that Hpgds expression was significantly upregulated by hyperglycemia and inflammatory stimuli in mesangial cells. Prostaglandin D2 enhanced hyperglycemia-induced collagen expression in mesangial cells and downregulated the tight junction in renal endothelial cells. Lastly, oral administration with an HPGDS inhibitor HQL-79 successfully prevented the progression of DN in KK-Ay mice by experimental periodontitis. Taken together, experimental periodontitis might contribute to the progression of DN via acceleration of glomerular pathology by upregulation of HPGDS in mesangial cells.
Published in
Glomerular Haematopoietic Prostaglandin D Synthase-Prostaglandin D2 Axis Contributes to the Periodontitis-Related Exacerbation of Diabetic Nephropathy in KK-A(y) Mice
Sato K, Shinjo T, Zeze T et al. · Journal of clinical periodontology 2025 · PMID 40524609 · doi:10.1111/jcpe.14180
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 GSE261386_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 PRJNA1086826 and SRA study SRP494719. Searching any of these in the dataset finder brings you back here.

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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