ARG1 as a promising biomarker for sepsis diagnosis and prognosis: evidence from WGCNA and PPI network.

Zhang, Jing-Xiang; Xu, Wei-Heng; Xing, Xin-Hao; Chen, Lin-Lin; Zhao, Qing-Jie; Wang, Yan

Zhang, Jing-Xiang; Xu, Wei-Heng; Xing, Xin-Hao; Chen, Lin-Lin; Zhao, Qing-Jie; Wang, Yan.

Afiliação

Zhang JX; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Xu WH; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Xing XH; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Chen LL; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Zhao QJ; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China. qjzhao@smmu.edu.cn.
Wang Y; School of Pharmacy, Second Military Medical University, Shanghai, 200433, China. wangyansmmu@126.com.

Hereditas ; 159(1): 27, 2022 Jun 23.

Article em En | MEDLINE | ID: mdl-35739592

Assuntos

Redes Reguladoras de Genes; Sepse; Biomarcadores; Perfilação da Expressão Gênica/métodos; Humanos; Mapas de Interação de Proteínas/genética; Sepse/diagnóstico; Sepse/genética

Palavras-chave

ARG1; Bioinformatical analysis; Differentially expressed genes; Sepsis; WGCNA

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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Sepse / Redes Reguladoras de Genes Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Hereditas Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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