Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33116
Title: Single-cell transcriptomics identifies regulatory T cell heterogeneity in gestational diabetes mellitus
Authors: Mensah, NE
Efthymiou, A
Mureanu, N
Martín Monreal, MT
Vaikkinen, H
Kannambath, S
Bowman, A
Menon, A
Tree, T
Lombardi, G
Dhami, P
Nicolaides, KH
Scottà, C
Shangaris, P
Keywords: gestational diabetes;immunogenetics
Issue Date: 3-Apr-2026
Publisher: Springer Nature
Citation: Mensah, N.E. et al. (2026) 'Single-cell transcriptomics identifies regulatory T cell heterogeneity in gestational diabetes mellitus', Communications Medicine, 0 (article in press), pp. 1–31. doi: 10.1038/s43856-026-01563-0.
Abstract: Background: Gestational 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. Methods: To 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. Results: We 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. Conclusions: This study uncovers transcriptional differences of Treg cell subsets from GDM patients and transcriptional markers informative of GDM status.
Description: Plain Language Summary: Gestational diabetes mellitus (GDM) is a common pregnancy condition linked to high blood sugar and increased inflammation, which can affect the health of both mother and baby. Immune cells called regulatory T cells (Tregs) help control inflammation, and their activity in a mother’s blood may be linked to GDM. To understand how Tregs behave in patients with GDM, we captured these cells from blood samples of pregnant women diagnosed with GDM and pregnant women without a GDM diagnosis. We profiled the expression of RNA in individual Tregs from these patients. We found that, while overall Treg numbers are similar, the activity of specific genes varies in Tregs from women with GDM. Disrupted RNA levels of one gene related to glucose control (TXNIP) may be an informative marker for GDM in blood. Our findings enhance the understanding of immune changes in GDM and may inform future approaches for early detection and monitoring.
Data availability: Single-cell RNA sequencing data has been submitted to Gene Expression Omnibus (Accession: GSE280975). Bulk RNA sequencing data was downloaded from Gene Expression Omnibus (Accession: GSE154414; GSE92772 - RNA sequencing data of whole blood cells of normal glucose tolerant (NGT) and gestational diabetes (GDM) pregnant women). Data underlying the figures are available on Zenodo [59.] Mensah, N. Single-cell transcriptomics identifies regulatory T cell heterogeneity in Gestational Diabetes Mellitus [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18032075 (2026).
Code availability: R scripts used to perform the analyses are available at GitHub [60.] Mensah, N. E. rutepo_gdm_treg. GitHub repository. https://github.com/NMNS93/rutepo_gdm_treg (2025).
Springer Nature is providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.
Supplementary information is available online at: https://www.nature.com/articles/s43856-026-01563-0#Sec24 .
URI: https://bura.brunel.ac.uk/handle/2438/33116
DOI: https://doi.org/10.1038/s43856-026-01563-0
Other Identifiers: ORCiD: María Teresa Martín Monreal https://orcid.org/0009-0001-4959-0174
ORCiD: Amanda Bowman https://orcid.org/0009-0002-0986-1344
ORCiD: Giovanna Lombardi https://orcid.org/0000-0003-4496-3215
ORCiD: Pawan Dhami https://orcid.org/0000-0002-5408-1833
ORCiD: Cristiano Scottà https://orcid.org/0000-0003-3942-5201
ORCiD: Panicos Shangaris https://orcid.org/0000-0003-2750-8405
Appears in Collections:Department of Biosciences Research Papers *

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