scholarly journals CD247, a Potential T Cell–Derived Disease Severity and Prognostic Biomarker in Patients With Idiopathic Pulmonary Fibrosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Yupeng Li ◽  
Shibin Chen ◽  
Xincheng Li ◽  
Xue Wang ◽  
Huiwen Li ◽  
...  

BackgroundIdiopathic pulmonary fibrosis (IPF) has high mortality worldwide. The CD247 molecule (CD247, as known as T-cell surface glycoprotein CD3 zeta chain) has been reported as a susceptibility locus in systemic sclerosis, but its correlation with IPF remains unclear.MethodsDatasets were acquired by researching the Gene Expression Omnibus (GEO). CD247 was identified as the hub gene associated with percent predicted diffusion capacity of the lung for carbon monoxide (Dlco% predicted) and prognosis according to Pearson correlation, logistic regression, and survival analysis.ResultsCD247 is significantly downregulated in patients with IPF compared with controls in both blood and lung tissue samples. Moreover, CD247 is significantly positively associated with Dlco% predicted in blood and lung tissue samples. Patients with low-expression CD247 had shorter transplant-free survival (TFS) time and more composite end-point events (CEP, death, or decline in FVC >10% over a 6-month period) compared with patients with high-expression CD247 (blood). Moreover, in the follow-up 1st, 3rd, 6th, and 12th months, low expression of CD247 was still the risk factor of CEP in the GSE93606 dataset (blood). Thirteen genes were found to interact with CD247 according to the protein–protein interaction network, and the 14 genes including CD247 were associated with the functions of T cells and natural killer (NK) cells such as PD-L1 expression and PD-1 checkpoint pathway and NK cell-mediated cytotoxicity. Furthermore, we also found that a low expression of CD247 might be associated with a lower activity of TIL (tumor-infiltrating lymphocytes), checkpoint, and cytolytic activity and a higher activity of macrophages and neutrophils.ConclusionThese results imply that CD247 may be a potential T cell-derived disease severity and prognostic biomarker for IPF.

2018 ◽  
Vol 10 (9) ◽  
pp. 5346-5358 ◽  
Author(s):  
Takefumi Nikaido ◽  
Yoshinori Tanino ◽  
Xintao Wang ◽  
Yuki Sato ◽  
Ryuichi Togawa ◽  
...  

2016 ◽  
Vol 54 (5) ◽  
pp. 327-333 ◽  
Author(s):  
Shun Kondoh ◽  
Hirofumi Chiba ◽  
Hirotaka Nishikiori ◽  
Yasuaki Umeda ◽  
Koji Kuronuma ◽  
...  

2017 ◽  
Vol 49 (2) ◽  
pp. 1601592 ◽  
Author(s):  
Helen E. Jo ◽  
Ian Glaspole ◽  
Christopher Grainge ◽  
Nicole Goh ◽  
Peter M.A. Hopkins ◽  
...  

The prevalence of idiopathic pulmonary fibrosis (IPF), a fatal and progressive lung disease, is estimated at 1.25–63 out of 100 000, making large population studies difficult. Recently, the need for large longitudinal registries to study IPF has been recognised.The Australian IPF Registry (AIPFR) is a national registry collating comprehensive longitudinal data of IPF patients across Australia. We explored the characteristics of this IPF cohort and the effect of demographic and physiological parameters and specific management on mortality.Participants in the AIPFR (n=647, mean age 70.9±8.5 years, 67.7% male, median follow up 2 years, range 6 months–4.5 years) displayed a wide range of age, disease severity and co-morbidities that is not present in clinical trial cohorts. The cumulative mortality rate in year one, two, three and four was 5%, 24%, 37% and 44% respectively. Baseline lung function (forced vital capacity, diffusing capacity of the lung for carbon monoxide, composite physiological index) and GAP (gender, age, physiology) stage (hazard ratio 4.64, 95% CI 3.33–6.47, p<0.001) were strong predictors of mortality. Patients receiving anti-fibrotic medications had better survival (hazard ratio 0.56, 95% CI 0.34–0.92, p=0.022) than those not on anti-fibrotic medications, independent of underlying disease severity.The AIPFR provides important insights into the understanding of the natural history and clinical management of IPF.


2016 ◽  
Vol 42 (5) ◽  
pp. 263-266 ◽  
Author(s):  
Carmela Olivieri ◽  
Elena Bargagli ◽  
Simona Inghilleri ◽  
Ilaria Campo ◽  
Marcella Cintorino ◽  
...  

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