Exploration of potential biomarkers and immune cell infiltration characteristics for peripheral atherosclerosis in sjögren’s syndrome based on comprehensive bioinformatics analysis and machine learning
This study systematically identified three promising hub genes (CCL4, CSF1R, and MX1) and developed a nomogram for predicting PA in SS. Analysis of immune cell infiltration demonstrated that dysregulated immune cells significantly contribute to the progression of PA. Additionally, ssGSEA analysis offered important insights into the mechanisms by which SS leads to PA.
Authors
- Lina Zhou (ORCID: https://orcid.org/0000-0003-1973-5667)
- Liying Wang (ORCID: https://orcid.org/0000-0002-4434-6498)
- Feifei Cai
- Chunjiang Liu (ORCID: https://orcid.org/0000-0003-1659-3579)
- Xiaoqi Tang
- Yuan Wang (ORCID: https://orcid.org/0009-0000-6865-640X)
- Xiang Zhang (ORCID: https://orcid.org/0000-0002-4257-5617)
Institutions
- Jiangnan University (CN)
- Anhui Medical University (CN)
- Wuxi No.2 People's Hospital (CN)
- Anhui Provincial Hospital (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
- Shaoxing People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-07-30
- DOI
- https://doi.org/10.3389/fgene.2025.1546315
- Primary Topic
- Salivary Gland Disorders and Functions
- Type
- article
- Field-Weighted Citation Impact
- 0.00