Identification of key genes and pathways in syphilis combined with diabetes: a bioinformatics study

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成果类型：

期刊论文

作者：

Li, Wei;Luo, Chunyi;Xie, Xiaoping;Xiao, Yongjian;Zhao, Feijun;...

通讯作者：

Liu, Shuangquan;Xiao, Xinhua

作者机构：

[Xie, Xiaoping; Liu, Shuangquan; Cai, Jialun; Li, Wei; Luo, Chunyi; Zhou, Xiangping] Univ South China, Affiliated Hosp 1, Dept Clin Lab, 69 Chuanshan Rd, Hengyang City 421000, Hunan, Peoples R China.

[Xiao, Yongjian] Univ South China, Affiliated Hosp 2, Dept Clin Lab, Hengyang, Hunan, Peoples R China.

[Wu, Yimou; Zhao, Feijun; Fu, Bo; Zeng, Tiebing] Univ South China, Inst Pathogen Biol, Hengyang, Hunan, Peoples R China.

[Wu, Yimou; Zhao, Feijun; Fu, Bo; Zeng, Tiebing] Univ South China, Key Lab Special Pathogen Prevent & Control Hunan, Hengyang, Hunan, Peoples R China.

[Xiao, Xinhua] Univ South China, Affiliated Hosp 1, Dept Endocrinolog, 69 Chuanshan Rd, Hengyang City 421000, Hunan, Peoples R China.

通讯机构：

[Liu, Shuangquan; Xiao, Xinhua] U

Univ South China, Affiliated Hosp 1, Dept Clin Lab, 69 Chuanshan Rd, Hengyang City 421000, Hunan, Peoples R China.

Univ South China, Affiliated Hosp 1, Dept Endocrinolog, 69 Chuanshan Rd, Hengyang City 421000, Hunan, Peoples R China.

语种：

英文

关键词：

Treponema pallidum;Syphilis;Diabetes mellitus;Bioinformatics

期刊：

AMB EXPRESS

ISSN：

2191-0855

年：

2020

卷：

期：

页码：

1-10

DOI：

10.1186/s13568-020-01009-3

基金类别：

Thanks to the National Natural Science Foundation of China (No 81201331) for its support of this work. Acknowledgements

机构署名：

本校为第一且通讯机构

院系归属：

医学院

摘要：

AbstractWe noticed that syphilis patients seem to be more susceptible to diabetes and the lesions often involve the kidneys, but the pathogenesis is not yet completely understood. In this study, microarray analysis was performed to investigate the dysregulated expressed genes (DEGs) in rabbit model of syphilis combined with diabetes. A total of 1045 genes were identified to be significantly differentially expressed, among which 571 were up-regulated and 474 were down-regulated (≥ 2.0fold, p < 0.05). Using the database visualization and i...

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Identification of key genes and pathways in syphilis combined with diabetes: a bioinformatics study

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