ArticleCommunications medicine2026
Single-cell transcriptomics identifies regulatory T cell heterogeneity in gestational diabetes mellitus.
Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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Who cites it
1 citing paper in PubMed.
- Single-cell transcriptomics identifies regulatory T cell heterogeneity in gestational diabetes mellitus.Communications medicine · 2026Article
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Authors and funding
14 authors.
Funding
Abstract
backgroundGestational diabetes mellitus (GDM) is a common pregnancy complication associated with hyperglycaemia, chronic inflammation and adverse health outcomes. Regulatory T cells (Tregs) are thought to contribute to GDM due to their role in suppressing inflammation. However, whether specific Treg subsets are transcriptionally dysregulated in patients with GDM remains unclear.
methodsTo investigate Treg transcriptional variation in GDM, we applied single-cell RNA sequencing to Tregs and CD4 + T cells isolated from the blood of 13 healthy pregnant women and 10 female patients with GDM.
resultsWe observed no significant differences in Treg cluster proportions with disease status, however, Memory CD4 + T cells were more abundant in patients diagnosed with GDM, substantiated by mass cytometry. We report Treg subsets altered in GDM, including naive Tregs with reduced expression of AP-1 transcription factor subunits and effector Tregs with increased signalling of genes associated with angiogenesis. Expression levels of genes dysregulated in GDM Tregs were informative of GDM status in pseudobulk, placental and whole blood mRNA from independent cohorts. TXNIP, which regulates glucose levels, emerged as the most significant discriminator of GDM status from bulk mRNA.
conclusionsThis study uncovers transcriptional differences of Treg cell subsets from GDM patients and transcriptional markers informative of GDM status.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.