Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome
Abstract This study aimed to identify crosstalk genes and explore their potential roles in type 2 diabetes (T2D) and Sjögren’s syndrome (SS) using bioinformatic analysis. We analyzed multiple publicly available gene expression datasets and screened 16 crosstalk genes. Consequently, genes that may pl...
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-14044-6 |
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| author | Yibing Wang Huilin Zeng Xiangjie Hu Guangzhao Zhang Liangliang Zhou Xingyuan Yu Yuchun Zhang |
| author_facet | Yibing Wang Huilin Zeng Xiangjie Hu Guangzhao Zhang Liangliang Zhou Xingyuan Yu Yuchun Zhang |
| author_sort | Yibing Wang |
| collection | DOAJ |
| description | Abstract This study aimed to identify crosstalk genes and explore their potential roles in type 2 diabetes (T2D) and Sjögren’s syndrome (SS) using bioinformatic analysis. We analyzed multiple publicly available gene expression datasets and screened 16 crosstalk genes. Consequently, genes that may play significant roles in disease processes were identified. Thereafter, we used gene set variation analysis to assess the differences in gene sets among various samples. LASSO regression analysis was performed to determine the optimal diagnostic genes, and predictive models for T2D and SS were constructed. The classification accuracy of these models was evaluated using receiver operating characteristic curves. Among 16 identified crosstalk genes, 11 showed significant differences in expression. These genes were significantly enriched in biological processes. The predictive model generated from ALDH6A1 and IL11RA demonstrated good classification accuracy for T2D and SS samples. Immune infiltration analysis revealed significant differences in specific immune cell types between the disease and control groups, demonstrating a significant correlation with the identified hub genes, highlighting their potential involvement in T2D and SS pathophysiology. This study revealed the crucial role of specific immune cells in T2D and SS pathology, providing new insights into both conditions and the potential targets for future immunotherapy design. |
| format | Article |
| id | doaj-art-bb32d2cc77d8442c8a48bbe68bb5da7e |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-bb32d2cc77d8442c8a48bbe68bb5da7e2025-08-20T03:04:39ZengNature PortfolioScientific Reports2045-23222025-08-0115111610.1038/s41598-025-14044-6Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndromeYibing Wang0Huilin Zeng1Xiangjie Hu2Guangzhao Zhang3Liangliang Zhou4Xingyuan Yu5Yuchun Zhang6Department of Endocrinology, Rheumatology and Immunology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Department of Endocrinology, Rheumatology and Immunology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Department of Otorhinolaryngology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Department of Endocrinology, Rheumatology and Immunology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Department of Endocrinology, Rheumatology and Immunology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Department of Endocrinology, Rheumatology and Immunology, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Hospital Infection Control Center, Jingzhou Branch of Huaihua Central Hospital (The Second People’s Hospital of Huaihua City)Abstract This study aimed to identify crosstalk genes and explore their potential roles in type 2 diabetes (T2D) and Sjögren’s syndrome (SS) using bioinformatic analysis. We analyzed multiple publicly available gene expression datasets and screened 16 crosstalk genes. Consequently, genes that may play significant roles in disease processes were identified. Thereafter, we used gene set variation analysis to assess the differences in gene sets among various samples. LASSO regression analysis was performed to determine the optimal diagnostic genes, and predictive models for T2D and SS were constructed. The classification accuracy of these models was evaluated using receiver operating characteristic curves. Among 16 identified crosstalk genes, 11 showed significant differences in expression. These genes were significantly enriched in biological processes. The predictive model generated from ALDH6A1 and IL11RA demonstrated good classification accuracy for T2D and SS samples. Immune infiltration analysis revealed significant differences in specific immune cell types between the disease and control groups, demonstrating a significant correlation with the identified hub genes, highlighting their potential involvement in T2D and SS pathophysiology. This study revealed the crucial role of specific immune cells in T2D and SS pathology, providing new insights into both conditions and the potential targets for future immunotherapy design.https://doi.org/10.1038/s41598-025-14044-6Type 2 diabetesSjögren’s syndromeCrosstalk genesImmune cellsBioinformatics analysis |
| spellingShingle | Yibing Wang Huilin Zeng Xiangjie Hu Guangzhao Zhang Liangliang Zhou Xingyuan Yu Yuchun Zhang Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome Scientific Reports Type 2 diabetes Sjögren’s syndrome Crosstalk genes Immune cells Bioinformatics analysis |
| title | Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome |
| title_full | Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome |
| title_fullStr | Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome |
| title_full_unstemmed | Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome |
| title_short | Identification of key interactive genes and their potential biological functions in type 2 diabetes and Sjögren’s syndrome |
| title_sort | identification of key interactive genes and their potential biological functions in type 2 diabetes and sjogren s syndrome |
| topic | Type 2 diabetes Sjögren’s syndrome Crosstalk genes Immune cells Bioinformatics analysis |
| url | https://doi.org/10.1038/s41598-025-14044-6 |
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