| 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 |
| Contributors: |
Martín Monreal, María Teresa 0009-0001-4959-0174; Bowman, Amanda 0009-0002-0986-1344; Lombardi, Giovanna 0000-0003-4496-3215; Dhami, Pawan 0000-0002-5408-1833; Scottà, Cristiano 0000-0003-3942-5201; Shangaris, Panicos 0000-0003-2750-8405 |
| Publisher Information: |
Springer Nature |
| Publication Year: |
2026 |
| Collection: |
Brunel University London: Brunel University Research Archive (BURA) |
| Subject Terms: |
gestational diabetes; immunogenetics |
| 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 ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
1–31; Electronic |
| Language: |
English |
| Relation: |
Communications Medicine; https://bura.brunel.ac.uk/handle/2438/33116 |
| DOI: |
10.1038/s43856-026-01563-0 |
| Availability: |
https://bura.brunel.ac.uk/handle/2438/33116; https://doi.org/10.1038/s43856-026-01563-0 |
| Rights: |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0/ ; https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en ; The Author(s) |
| Accession Number: |
edsbas.20322706 |
| Database: |
BASE |