Identification of key biomarkers in diabetic nephropathy via bioinformatic analysis.

Zeng, Mengru; Liu, Jialu; Yang, Wenxia; Zhang, Shumin; Liu, Fuyou; Dong, Zheng; Peng, Youming; Sun, Lin; Xiao, Li

Zeng, Mengru; Liu, Jialu; Yang, Wenxia; Zhang, Shumin; Liu, Fuyou; Dong, Zheng; Peng, Youming; Sun, Lin; Xiao, Li.

Afiliação

Zeng M; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Liu J; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yang W; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhang S; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Liu F; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Dong Z; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Peng Y; Department of Cellular Biology and Anatomy, Medical College of Georgia at Augusta University and Charlie Norwood VA Medical Center, Augusta, Georgia.
Sun L; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiao L; Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

J Cell Biochem ; 120(5): 8676-8688, 2019 May.

Article em En | MEDLINE | ID: mdl-30485525

Palavras-chave

biomarkers; computational biology; diabetic nephropathies; diagnosis; therapeutics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Cell Biochem Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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