Literature DB >> 33118673

Weighted gene coexpression network reveals downregulation of genes in bronchopulmonary dysplasia.

Wangkai Liu1, Yihua Su2, Sitao Li3, Haitian Chen4, Yumei Liu5, Xiaoyu Li1, Wei Shen6, Xinqi Zhong7, Fan Wu7, Qiong Meng8, Xiaoyun Jiang1.   

Abstract

BACKGROUND: Bronchopulmonary dysplasia (BPD) is a serious lung disease observed in premature infants, known to cause considerable morbidity and mortality. Its prognosis is influenced by a complex network of genetic interactions. In this study, we determined the potential key factors in the pathogenesis of this condition.
METHODS: We constructed scale-free gene coexpression network using weighted gene coexpression network analysis. The analysis was carried out on the GSE8586 dataset, which contains the expression profiles of umbilical cord tissue homogenates from 20 neonates with BPD and 34 unaffected controls.
RESULTS: Our analysis identified one significantly downregulated coexpression module related to the BPD phenotype. It was significantly enriched in genes related to human T-cell leukemia virus infection and the mitogen-activated protein kinase pathway. In this module, the expression of the following four hub genes in infants with BPD was significantly decreased: Fos proto-oncogene (FOS), BTG antiproliferation factor 2 (BTG2), Jun proto-oncogene (JUN), and early growth response protein 1 (EGR1). The downregulation of these hub genes was verified in clinical samples derived from blood and umbilical cord tissue.
CONCLUSION: The decreased expression of FOS, BTG2, JUN, and EGR1 is associated with BPD and, therefore, could be used as biomarkers to diagnose early BPD.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  bronchopulmonary dysplasia; prediction biomarkers; preterm infants; weighted gene coexpression network analysis

Mesh:

Substances:

Year:  2020        PMID: 33118673     DOI: 10.1002/ppul.25141

Source DB:  PubMed          Journal:  Pediatr Pulmonol        ISSN: 1099-0496


  1 in total

1.  Identification and validation of potential novel biomarkers to predict distant metastasis in differentiated thyroid cancer.

Authors:  Wenlong Wang; Cong Shen; Yunzhe Zhao; Botao Sun; Ning Bai; Xinying Li
Journal:  Ann Transl Med       Date:  2021-07
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.