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Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia.
Li, Yanyan; Wang, Jiqin; Li, Yuzhen; Liu, Chunyan; Gong, Xia; Zhuang, Yifei; Chen, Liang; Sun, Keyu.
Afiliação
  • Li Y; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Wang J; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Li Y; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Liu C; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Gong X; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Zhuang Y; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
  • Chen L; Department of Emergency Medicine, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, No. 1665 Kongjiang Road, Yangpu District, Shanghai 200092, China.
  • Sun K; Department of Emergency, Minhang Hospital, Fudan University, No. 170 Xinsong Road, Minhang District, Shanghai 201199, China.
Comput Math Methods Med ; 2021: 8020067, 2021.
Article em En | MEDLINE | ID: mdl-34484417
BACKGROUND: Immunosuppression has a key function in sepsis pathogenesis, so it is of great significance to find immune-related markers for the treatment of sepsis. METHODS: Datasets of community-acquired pneumonia (CAP) with sepsis from the ArrayExpress database were extracted. Differentially expressed genes (DEGs) between the CAP group and normal group by Limma package were performed. After calculation of immune score through the ESTIMATE algorithm, the DEGs were selected between the high immune score group and the low immune score group. Enrichment analysis of the intersected DEGs was conducted. Further, the protein-protein interaction (PPI) of the intersected DEGs was drawn by Metascape tools. Related publications of the key DEGs were searched in NCBI PubMed through Biopython models, and RT-qPCR was used to verify the expression of key genes. RESULTS: 360 intersected DEGs (157 upregulated and 203 downregulated) were obtained between the two groups. Meanwhile, the intersected DEGs were enriched in 157 immune-related terms. The PPI of the DEGs was performed, and 8 models were obtained. In sepsis-related research, eight genes were obtained with degree ≥ 10, included in the models. CONCLUSION: CXCR3, CCR7, HLA-DMA, and GPR18 might participate in the mechanism of CAP with sepsis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / Infecções Comunitárias Adquiridas / Sepse Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia / Infecções Comunitárias Adquiridas / Sepse Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos