Identification of the shared mechanisms and common biomarkers between Sjögren's syndrome and atherosclerosis using integrated bioinformatics analysis.

Qi, Xiaoyi; Huang, Qianwen; Wang, Shijia; Qiu, Liangxian; Chen, Xiongbiao; Ouyang, Kunfu; Chen, Yanjun

Qi, Xiaoyi; Huang, Qianwen; Wang, Shijia; Qiu, Liangxian; Chen, Xiongbiao; Ouyang, Kunfu; Chen, Yanjun.

Afiliação

Qi X; Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
Huang Q; Medical College, Shantou University, Shantou, China.
Wang S; Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
Qiu L; Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
Chen X; Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
Ouyang K; Departments of Cardiology, Peking University Shenzhen Hospital, Shenzhen, China.
Chen Y; Department of Cardiovascular Surgery, Peking University Shenzhen Hospital, Shenzhen, China.

Front Med (Lausanne) ; 10: 1185303, 2023.

Article em En | MEDLINE | ID: mdl-37727764

Palavras-chave

GEO database; Sjögren's syndrome; atherosclerosis; bioinformatics; immune infiltration

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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