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Parathyroidectomy Restores Skeletal Muscle Strength and Transcriptome in Individuals with Primary Hyperparathyroidism

GSE283368 Homo sapiens (human) RNA-seq (gene expression) 36 samples Submitted 2026/01/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 36 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
36 samples: 21 × pre vs 15 × postGroups 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
Parathyroidectomy Restores Muscle Strength and Transcriptome in Individuals With Primary HyperparathyroidismThe Journal of clinical endocrinology and metabolism · 2026
Summary (written by the submitters)
Background: Primary hyperparathyroidism (pHPT) is a common endocrine disorder leading to hypercalcemia and skeletal muscle dysfunction. Muscle weakness is associated with increased risk of morbidity and mortality but is overlooked in surgical guidelines for parathyroidectomy. While parathyroidectomy is the only curative treatment, its effects on skeletal muscle strength and molecular remodelling remain underexplored.
Read the full summary ↓
Methods: We conducted a prospective observational cohort study involving 21 postmenopausal women with pHPT, of whom 15 completed the full protocol. Clinical assessments, magnetic resonance imaging (MRI), and skeletal muscle biopsies were performed before and three months post-parathyroidectomy. Muscle strength was evaluated using the timed stand test (TST) and isokinetic dynamometry, while RNA sequencing characterized transcriptomic changes in muscle biopsies. Findings: Parathyroidectomy normalized calcium and PTH levels, accompanied by significant improvements in muscle strength and composition. MRI revealed an increase in muscle volume and a reduction in fat fraction, without changes in physical activity levels. Transcriptomic analysis identified 981 differentially expressed genes post-surgery, enriched in pathways related to extracellular matrix remodelling, angiogenesis, and mitochondrial metabolism. Notably, transcriptional changes mirrored exercise-induced adaptations.
Published in
Parathyroidectomy Restores Muscle Strength and Transcriptome in Individuals With Primary Hyperparathyroidism
Björnsdotter-Öberg S, Koman A, Skorpil M et al. · The Journal of clinical endocrinology and metabolism 2026 · PMID 40690900 · doi:10.1210/clinem/dgaf418
This dataset
Open GSE283368 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 GSE283368_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: 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 PRJNA1193533 and SRA study SRP549023. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40690900) ↗
Study design
21 × pre vs 15 × post

Supports a between-group comparison across 36 samples.

How we read this: 2 replicated groups read from 36 sample titles; they account for 36 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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