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Identification of differentially expressed genes and signaling pathways with Candida infection by bioinformatics analysis.
Zhu, Guo-Dong; Xie, Li-Min; Su, Jian-Wen; Cao, Xun-Jie; Yin, Xin; Li, Ya-Ping; Gao, Yuan-Mei; Guo, Xu-Guang.
Afiliación
  • Zhu GD; Department of Oncology, Guangzhou Geriatric Hospital, Guangzhou, 510180, China.
  • Xie LM; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Su JW; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Cao XJ; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Yin X; Department of Pediatrics, The Pediatrics School of Guangzhou Medical University, Guangzhou, 510182, China.
  • Li YP; Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.
  • Gao YM; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
  • Guo XG; Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. gysygxg@gmail.com.
Eur J Med Res ; 27(1): 43, 2022 Mar 21.
Article en En | MEDLINE | ID: mdl-35314002
BACKGROUND: Opportunistic Candida species causes severe infections when the human immune system is weakened, leading to high mortality. METHODS: In our study, bioinformatics analysis was used to study the high-throughput sequencing data of samples infected with four kinds of Candida species. And the hub genes were obtained by statistical analysis. RESULTS: A total of 547, 422, 415 and 405 differentially expressed genes (DEGs) of Candida albicans, Candida glabrata, Candida parapsilosis and Candida tropicalis groups were obtained, respectively. A total of 216 DEGs were obtained after taking intersections of DEGs from the four groups. A protein-protein interaction (PPI) network was established using these 216 genes. The top 10 hub genes (FOSB, EGR1, JUNB, ATF3, EGR2, NR4A1, NR4A2, DUSP1, BTG2, and EGR3) were acquired through calculation by the cytoHubba plug-in in Cytoscape software. Validated by the sequencing data of peripheral blood, JUNB, ATF3 and EGR2 genes were  significant statistical significance. CONCLUSIONS: In conclusion, our study demonstrated the potential pathogenic genes in Candida species and their underlying mechanisms by bioinformatic analysis methods. Further, after statistical validation, JUNB, ATF3 and EGR2 genes were attained, which may be used as potential biomarkers with Candida species infection.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Candidiasis / Biomarcadores / Transducción de Señal / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Med Res Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Candidiasis / Biomarcadores / Transducción de Señal / Biología Computacional Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Med Res Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: China
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