Investigation of a Hypoxia-Immune-Related Microenvironment Gene Signature and Prediction Model for Idiopathic Pulmonary Fibrosis

Frontiers in Immunology

Quan Zhuang¹  Yufeng Cai²  Haozheng Cai³  Yinghe Ding⁴  Quyan Zhang⁴  Xinyu Li⁴ 

[1] Research Center of National Health Ministry on Transplantation Medicine, Changsha, China;School of Life Science, Central South University, Changsha, China;Transplantation Center, The 3rd Xiangya Hospital, Central South University, Changsha, China;Xiangya School of Medicine, Central South University, Changsha, China;

关键词: idiopathic pulmonary fibrosis;    microenvironment;    hypoxia;    immune;    prognosis;   

DOI  :  10.3389/fimmu.2021.629854

来源: DOAJ

【 摘 要 】

BackgroundThere is growing evidence found that the role of hypoxia and immune status in idiopathic pulmonary fibrosis (IPF). However, there are few studies about the role of hypoxia and immune status in the lung milieu in the prognosis of IPF. This study aimed to develop a hypoxia-immune-related prediction model for the prognosis of IPF.MethodsHypoxia and immune status were estimated with microarray data of a discovery cohort from the GEO database using UMAP and ESTIMATE algorithms respectively. The Cox regression model with the LASSO method was used for identifying prognostic genes and developing hypoxia-immune-related genes. Cibersort was used to evaluate the difference of 22 kinds of immune cell infiltration. Three independent validation cohorts from GEO database were used for external validation. Peripheral blood mononuclear cell (PBMC) and bronchoalveolar lavage fluid (BALF) were collected to be tested by Quantitative reverse transcriptase-PCR (qRT-PCR) and flow cytometry from 22 clinical samples, including 13 healthy controls, six patients with non-fibrotic pneumonia and three patients with pulmonary fibrosis.ResultsHypoxia and immune status were significantly associated with the prognosis of IPF patients. High hypoxia and high immune status were identified as risk factors for overall survival. CD8+ T cell, activated CD4+ memory T cell, NK cell, activated mast cell, M1 and M0 macrophages were identified as key immune cells in hypoxia-immune-related microenvironment. A prediction model for IPF prognosis was established based on the hypoxia-immune-related one protective and nine risk DEGs. In the independent validation cohorts, the prognostic prediction model performed the significant applicability in peripheral whole blood, peripheral blood mononuclear cell, and lung tissue of IPF patients. The preliminary clinical specimen validation suggested the reliability of most conclusions.ConclusionsThe hypoxia-immune-based prediction model for the prognosis of IPF provides a new idea for prognosis and treatment.

【 授权许可】

Unknown