ORIGINAL RESEARCH article

Front. Immunol.

Sec. Systems Immunology

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1534768

This article is part of the Research TopicRevolutionizing Immunological Disease Understanding Through Single Cell Multi-Omics TechnologiesView all 10 articles

Investigating the molecular mechanisms associated with ulcerative colitis through the application of single-cell combined spatial transcriptome sequencing

Provisionally accepted
  • 1Changshu Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Suzhou, China
  • 2Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
  • 3Changshu No. 2 Peoples’ Hospital, Changshu, Jiangsu Province, China

The final, formatted version of the article will be published soon.

Background Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by dysregulated immune responses, resulting in sustained inflammation and ulceration of the colonic and rectal mucosa. To elucidate the cellular subtypes and gene expression profiles implicated in the pathogenesis of UC, we utilized single-cell and spatial transcriptomic analyses.We conducted an analysis of single-cell data to identify cell types involved in the pathogenesis of UC. Employing machine learning methodologies, we screened for key genes implicated in UC and validated these findings through spatial transcriptomics. Additionally, immunohistochemistry was performed on UC lesion samples to investigate the expression patterns of the identified key genes. In an animal model, we utilized immunofluorescence and western blotting to validate the expression of these genes in the affected intestinal segments.Our investigation identified specific monocyte subtypes associated with UC through a comprehensive analysis involving cell communication, Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine (SVM) methodologies. Notably, two genes, G protein subunit gamma 5 (GNG5) and tissue inhibitor of metalloproteinase 1 (TIMP1), were identified as key regulators of UC development. Spatial transcriptomic indicated a downregulation of GNG5 expression in UC, whereas TIMP1 expression was upregulated. Furthermore, a significant correlation was detected between TIMP1 and T cell exhaustion-related genes such asgenes related to T cell exhaustion, including T cell immunoreceptor with Ig and ITIM domains (TIGIT) and cytotoxic T-lymphocyte-associated protein 4 (CTLA4).Immunohistochemical analysis of UC lesion samples revealed diminished expression levels of GNG5 and elevated expression levels of TIMP1. A dextran sulfate sodium (DSS)-induced colitis mouse model was developed, demonstrating that the protein expression levels of GNG5 in the colonic tissue of model mice were significantly decreased compared to controls while the expression levels of TIMP1 were increased (p < 0.01). Furthermore, immunofluorescence staining indicated co-localization of TIMP1 with the macrophage marker F4/80 in monocytes.Our research delineated distinct monocyte subtypes correlated with UC and identified two pivotal genes, GNG5 and TIMP1, that contribute to the disease's pathogenesis. These insights offer a significant theoretical basis for enhancing the clinical diagnosis and therapeutic strategies for patients with UC.

Keywords: Immune infiltration, single-cell transcriptome sequencing, Spatial transcriptome sequencing, ulcerative colitis, t cell exhaustion

Received: 26 Nov 2024; Accepted: 17 Apr 2025.

Copyright: © 2025 Huang, Ma, Kang, Guo, Sun, Xu and Ji. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Hua Huang, Changshu Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Suzhou, China
Lijiang Ji, Changshu Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Suzhou, China

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