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Altered Metabolomics and Inflammatory Transcriptomics in Human Bone Marrow Adipocytes After Acute High Calorie Diet and Acute Fasting

GSE297963 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/05/24 Platform GPL18460
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 6 conditions, mostly in duplicateGroups 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
Altered metabolomics and inflammatory transcriptomics in human bone marrow adipocytes after acute high calorie diet and acute fastingFrontiers in endocrinology · 2025
Summary (written by the submitters)
Expansion of bone marrow adipocytes has been linked to nutritional pressures, suggesting that bone marrow is a dynamic compartment that responds to fluctuations in systemic nutritional availability to regulate osteogenesis and hematopoiesis. Here we investigated bone marrow metabolism in response to acute overnutrition (high calorie diet) and calorie deprivation (fasting).
Read the full summary ↓
Participants underwent a 10-day high calorie diet followed by a two-week interval of an ad libitum diet and then underwent 10 days of fasting. Bone marrow adipocytes were collected before and after each dietary intervention. Using RNA-sequencing, we characterized nutritional influences on bone marrow adiposity. Bone marrow adipocytes after high calorie diet showed an upregulation of FOXP3 (p < 0.0001), the transcription factor that controls the development of Tregs, which are critical in reducing inflammatory immune responses. In contrast, bone marrow adipocytes after acute fasting had an upregulation of inflammatory genes (CP, CFH, and IGFBP3) (p < 0.0001). Overall, our results demonstrate key differences in inflammatory responses between high calorie diet and fasting, despite a nearly identical phenotype of bone marrow adipose tissue expansion. Further analyses are needed to understand the effects nutritional pressures have on bone marrow adipogenesis and immune responses.
Published in
Altered metabolomics and inflammatory transcriptomics in human bone marrow adipocytes after acute high calorie diet and acute fasting
Costa SN, Pachón-Peña G, Dragon J et al. · Frontiers in endocrinology 2025 · PMID 40589518 · doi:10.3389/fendo.2025.1591280
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 GSE297963_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 PRJNA1266176 and SRA study SRP587086. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
High Calorie_Post_M ×3 High Calorie_Pre_M ×3 High Calorie_Post_N ×2 High Calorie_Pre_N ×2 Fasting_Post_L ×2 Fasting_Pre_L ×2 High Calorie_Post_L ×1 High Calorie_Pre_L ×1 +8 more

Supports a between-group comparison across 14 samples.

How we read this: 6 replicated groups read from 24 sample titles; they account for 14 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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