Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles
Pulmonary hypertension (PH) is a frequent complication in patients with pulmonary fibrosis (PF), whereas the mechanism was not well-understood. This study aimed to explore the influence of immune cell infiltration on PH status based on the genomic expression profiles. Microarray data of GSE24988 wer...
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doaj-f081976695534e22a15cfeff82b0c6412021-07-07T05:12:57ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-07-01810.3389/fmed.2021.671617671617Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression ProfilesFeng Zhu0Feng Zhu1Feng Zhu2Lili Zuo3Rui Hu4Jin Wang5Zhihua Yang6Zhihua Yang7Xin Qi8Limin Feng9Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaDepartment of Traditional Chinese Medicine, Hebei North University, Zhangjiakou, ChinaDepartment of Cardiology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Neonatal, ZiBo Maternal and Child Health Hospital, Zibo, ChinaCenter for Drug Monitoring and Evaluation Department, Center for Drug Monitoring and Evaluation in Zhangjiakou, Zhangjiakou, ChinaDepartment of Cardiovascular Disease, ZiBo Hospital of Traditional Chinese Medicine, Zibo, ChinaGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaDepartment of Cardiology, Tianjin Union Medical Center, Tianjin, ChinaDepartment of Cardiology, The Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, ChinaPulmonary hypertension (PH) is a frequent complication in patients with pulmonary fibrosis (PF), whereas the mechanism was not well-understood. This study aimed to explore the influence of immune cell infiltration on PH status based on the genomic expression profiles. Microarray data of GSE24988 were downloaded from the GEO database, including 116 lung tissue samples derived from PF patients with various PH status. Proportion of infiltrated immune cells was evaluated using CIBERSORT, a gene expression-based de-convolution algorithm. A random forest classifier was constructed and out of bag (OOB) cross-validation was carried out for PH prediction. The proportions of immune infiltration cells varied differently in PH samples except T regulatory cells (p-value = 0). Compared with non-PH samples, increased number of naive B cells and plasma cells were identified in PH samples, whereas activated dendritic cells and M2 macrophages were relatively lower (p < 0.05). In the random forest model, these four types of immune cells obtained a higher variable importance score than other cells, including mean decreased accuracy and mean decreased gini evaluation. We ran the OOB cross-validation in each sample of datasets (training set and testing set) and obtained 79 and 69% accuracy, respectively. Abnormal proportions of four types of immune cells were identified in PH samples compared with non-PH samples, suggesting their involvement in PH development. In summary, the immune cell infiltration in PF patients is associated with the PH status of patients, which deserves further investigation in the future.https://www.frontiersin.org/articles/10.3389/fmed.2021.671617/fullpulmonary fibrosisimmune cell infiltrationpulmonary hypertensionrandom forest classifierprediction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Feng Zhu Feng Zhu Feng Zhu Lili Zuo Rui Hu Jin Wang Zhihua Yang Zhihua Yang Xin Qi Limin Feng |
spellingShingle |
Feng Zhu Feng Zhu Feng Zhu Lili Zuo Rui Hu Jin Wang Zhihua Yang Zhihua Yang Xin Qi Limin Feng Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles Frontiers in Medicine pulmonary fibrosis immune cell infiltration pulmonary hypertension random forest classifier prediction |
author_facet |
Feng Zhu Feng Zhu Feng Zhu Lili Zuo Rui Hu Jin Wang Zhihua Yang Zhihua Yang Xin Qi Limin Feng |
author_sort |
Feng Zhu |
title |
Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles |
title_short |
Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles |
title_full |
Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles |
title_fullStr |
Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles |
title_full_unstemmed |
Effect of Immune Cell Infiltration on Occurrence of Pulmonary Hypertension in Pulmonary Fibrosis Patients Based on Gene Expression Profiles |
title_sort |
effect of immune cell infiltration on occurrence of pulmonary hypertension in pulmonary fibrosis patients based on gene expression profiles |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Medicine |
issn |
2296-858X |
publishDate |
2021-07-01 |
description |
Pulmonary hypertension (PH) is a frequent complication in patients with pulmonary fibrosis (PF), whereas the mechanism was not well-understood. This study aimed to explore the influence of immune cell infiltration on PH status based on the genomic expression profiles. Microarray data of GSE24988 were downloaded from the GEO database, including 116 lung tissue samples derived from PF patients with various PH status. Proportion of infiltrated immune cells was evaluated using CIBERSORT, a gene expression-based de-convolution algorithm. A random forest classifier was constructed and out of bag (OOB) cross-validation was carried out for PH prediction. The proportions of immune infiltration cells varied differently in PH samples except T regulatory cells (p-value = 0). Compared with non-PH samples, increased number of naive B cells and plasma cells were identified in PH samples, whereas activated dendritic cells and M2 macrophages were relatively lower (p < 0.05). In the random forest model, these four types of immune cells obtained a higher variable importance score than other cells, including mean decreased accuracy and mean decreased gini evaluation. We ran the OOB cross-validation in each sample of datasets (training set and testing set) and obtained 79 and 69% accuracy, respectively. Abnormal proportions of four types of immune cells were identified in PH samples compared with non-PH samples, suggesting their involvement in PH development. In summary, the immune cell infiltration in PF patients is associated with the PH status of patients, which deserves further investigation in the future. |
topic |
pulmonary fibrosis immune cell infiltration pulmonary hypertension random forest classifier prediction |
url |
https://www.frontiersin.org/articles/10.3389/fmed.2021.671617/full |
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