Evidence map›Paper›PMID 42876642›Full record

ArticleFrontiers in immunology2026

Integrated single-cell multi-omics analysis delineates neonatal immune dysregulation associated with gestational diabetes mellitus.

Renke He, Zhipeng Liu, Qingju Meng, Kaiyue Wu, Junwei Wu, Yanqiu Li, Oscar Junhong Luo, Yangqiu Li

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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Renke He *Department of Hematology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Zhipeng Liu *Department of Hematology, First Affiliated Hospital of Jinan University, Guangzhou, China.
Qingju Meng *Gynaecology and Obstetrics Department, Guangzhou Panyu District Maternal and Child Health Hospital, Guangzhou, Guangdong, China.
Kaiyue Wu *Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Junwei WuGynaecology and Obstetrics Department, Guangzhou Panyu District Maternal and Child Health Hospital, Guangzhou, Guangdong, China.
Yanqiu LiGynaecology and Obstetrics Department, Guangzhou Panyu District Maternal and Child Health Hospital, Guangzhou, Guangdong, China.
Oscar Junhong LuoDepartment of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
Yangqiu LiDepartment of Hematology, First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gestational diabetes mellitus (GDM) is a common pregnancy complication which could induce immune dysfunction. Although intrauterine hyperglycemia impairs fetal immune development, its cell-type specific effects on neonatal immune cells, and cell‑cell communication remain unclear. Methods: In this pilot study, we performed integrated 5' single‑cell RNA sequencing and TCR repertoire analysis of cord blood mononuclear cells from two GDM and one type 2 diabetes mellitus (T2DM) mother-neonate pairs, with public healthy cord blood data (GSE157007) as controls. After quality control, 50,656 cells were analyzed using Seurat, scRepertoire, SCENIC, Monocle 2, decoupleR, and CellChat. Results: Myeloid lineage expansion and reduced naive T‑cell proportions have been found in hyperglycemia‑exposed cord blood. TCR analysis revealed mild clonal diversity compression, a shift toward shorter CDR3 lengths, and fewer ultralong CDR3 sequences in hyperglycemia‑exposed cord blood. The Tpex‑like cell population, which co‑expresses stemness markers (TCF7, BACH2), early development markers of T cells (IKZF1, IKZF2) and the pre‑exhaustion transcription factor TOX, was enriched in cord blood from GDM and T2DM neonates. This subset displayed elevated activity of TGF-β, MAPK and PI3K signaling pathways and predominantly resided within unexpanded T cell clonotypes. Pseudotime trajectory profiling indicates that Tpex-like cells reside at an intermediate differentiation state between precursor and effector T‑cell populations. Cell communication analysis indicated increased immune interaction strength in GDM cord blood, with enrichment of pro‑inflammatory pathways (SEMA4, IL‑16, SIRP), whereas homeostatic pathways (LAIR1, GALECTIN) dominated in healthy controls. Discussion: We characterized multi-layered neonatal immune dysregulation observed in the setting of GDM‑associated intrauterine hyperglycemia. Tpex‑like cells represent a candidate cellular state linked to early immune changes in GDM offspring. We firstly identified candidate molecular signatures for subsequent mechanistic and translational exploration. These pilot findings require validation in larger independent cohorts.

Indexed as

Diabetes, GestationalSingle-Cell AnalysisAdultDiabetes Mellitus, Type 2FemaleFetal BloodHumansInfant, NewbornMultiomicsPilot ProjectsPregnancyReceptors, Antigen, T-CellReceptors, Antigen, T-Cellgestational diabetes mellitusimmune repertoireintrauterine hyperglycemianeonatal immunitysingle-cell RNA sequencingsingle-cell TCRTpex-like cells

Identifiers

PMID42876642
PMCPMC13661941

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