| Issue |
BIO Web Conf.
Volume 200, 2025
Biology, Health & Artificial Intelligence Conference (BHAI 2025)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 3 | |
| DOI | https://doi.org/10.1051/bioconf/202520001025 | |
| Published online | 05 December 2025 | |
Blood transcriptome of type 1 diabetes: Characterization of specific profiles
1 Higher Institute of Nursing and Health Professions – ISPITS Rabat. Morocco.
2 Laboratory of Biology and Health, Faculty of Sciences, Ibn Tofail University Kenitra. Morocco.
3 Higher Institute of Nursing and Health Professions – ISPITS Kenitra. Morocco.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Type 1 diabetes (T1D) is a chronic condition marked by an autoimmune destruction of pancreatic β cells, which leads to insulin deficiency and a multitude of serious metabolic complications. Transcriptomic analyses allow us to determine the characteristic expression profiles of this pathology. This study is based on the RNA-seq data from peripheral blood of 39 T1D individuals and 43 healthy controls from the GSE123658 dataset. Differential analysis identified highly regulated genes (padj < 0.05). The IFIT3, PIP4P1, C6orf136, and SH3D21 genes show overexpression and are associated with immune mechanisms, while TRMT10C, involved in metabolic processes and cell cycle control, is underexpressed. These transcriptomic signatures can serve as early predictive biomarkers for T1D, useful for identifying at-risk patients and for characterising new therapeutic targets. DT1 is associated with specific blood transcriptomic profiles, reflecting early immune activation and regulation of metabolic genes, paving the way for the characterization of biomarkers and a better understanding of its pathogenesis.
Key words: type 1 diabetes / GSE123658 / transcriptomic signatures / biomarkers
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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