Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury
Radiation-induced lung injury (RILI), a potentially fatal and dose-limiting complication of radiotherapy for thoracic tumors, is divided into early reversible pneumonitis and irreversible advanced-stage fibrosis. Early detection and intervention contribute to improving clinical outcomes of patients....
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
|
| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0383/12/3/733 |
| _version_ | 1797624136993865728 |
|---|---|
| author | Youyi Liu Mengdi Wu Jingrou Guo Yifei Tang Hongliang Jiang Bo Yang Minchen Wu Jianfeng Huang |
| author_facet | Youyi Liu Mengdi Wu Jingrou Guo Yifei Tang Hongliang Jiang Bo Yang Minchen Wu Jianfeng Huang |
| author_sort | Youyi Liu |
| collection | DOAJ |
| description | Radiation-induced lung injury (RILI), a potentially fatal and dose-limiting complication of radiotherapy for thoracic tumors, is divided into early reversible pneumonitis and irreversible advanced-stage fibrosis. Early detection and intervention contribute to improving clinical outcomes of patients. However, there is still a lack of reliable biomarkers for early prediction and clinical diagnosis of RILI. Given the central role of inflammation in the initiation and progression of RILI, we explored specific inflammation-related biomarkers during the development of RILI in this study. Two expression profiles from the Gene Expression Omnibus (GEO) database were downloaded, in which 75 differentially expressed genes (DEGs) were screened out. Combining Gene Oncology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein–protein interaction (PPI) network analysis, we identified four inflammation-related hub genes in the progression of RILI—MMP9, IL-1β, CCR1 and S100A9. The expression levels of the hub genes were verified in RILI mouse models, with S100A9 showing the highest level of overexpression. The level of S100A9 in bronchoalveolar lavage fluid (BALF) and the expression of S100A9 in lung tissues were positively correlated with the degree of inflammation in RILI. The results above indicate that S100A9 is a potential biomarker for the early prediction and diagnosis of the development of RILI. |
| first_indexed | 2024-03-11T09:38:50Z |
| format | Article |
| id | doaj.art-4cfb1c8baf1347ce8a9c558b7e4fb40e |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T09:38:50Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-4cfb1c8baf1347ce8a9c558b7e4fb40e2023-11-16T17:06:25ZengMDPI AGJournal of Clinical Medicine2077-03832023-01-0112373310.3390/jcm12030733Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung InjuryYouyi Liu0Mengdi Wu1Jingrou Guo2Yifei Tang3Hongliang Jiang4Bo Yang5Minchen Wu6Jianfeng Huang7Wuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaWuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaWuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaWuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaWuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaDepartment of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi 214122, ChinaWuxi School of Medicine, Jiangnan University, Wuxi 214122, ChinaDepartment of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi 214122, ChinaRadiation-induced lung injury (RILI), a potentially fatal and dose-limiting complication of radiotherapy for thoracic tumors, is divided into early reversible pneumonitis and irreversible advanced-stage fibrosis. Early detection and intervention contribute to improving clinical outcomes of patients. However, there is still a lack of reliable biomarkers for early prediction and clinical diagnosis of RILI. Given the central role of inflammation in the initiation and progression of RILI, we explored specific inflammation-related biomarkers during the development of RILI in this study. Two expression profiles from the Gene Expression Omnibus (GEO) database were downloaded, in which 75 differentially expressed genes (DEGs) were screened out. Combining Gene Oncology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein–protein interaction (PPI) network analysis, we identified four inflammation-related hub genes in the progression of RILI—MMP9, IL-1β, CCR1 and S100A9. The expression levels of the hub genes were verified in RILI mouse models, with S100A9 showing the highest level of overexpression. The level of S100A9 in bronchoalveolar lavage fluid (BALF) and the expression of S100A9 in lung tissues were positively correlated with the degree of inflammation in RILI. The results above indicate that S100A9 is a potential biomarker for the early prediction and diagnosis of the development of RILI.https://www.mdpi.com/2077-0383/12/3/733radiation-induced lung injuryS100A9radiotherapyinflammationbiomarkers |
| spellingShingle | Youyi Liu Mengdi Wu Jingrou Guo Yifei Tang Hongliang Jiang Bo Yang Minchen Wu Jianfeng Huang Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury Journal of Clinical Medicine radiation-induced lung injury S100A9 radiotherapy inflammation biomarkers |
| title | Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury |
| title_full | Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury |
| title_fullStr | Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury |
| title_full_unstemmed | Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury |
| title_short | Identification of S100A9 as a Potential Inflammation-Related Biomarker for Radiation-Induced Lung Injury |
| title_sort | identification of s100a9 as a potential inflammation related biomarker for radiation induced lung injury |
| topic | radiation-induced lung injury S100A9 radiotherapy inflammation biomarkers |
| url | https://www.mdpi.com/2077-0383/12/3/733 |
| work_keys_str_mv | AT youyiliu identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT mengdiwu identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT jingrouguo identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT yifeitang identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT hongliangjiang identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT boyang identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT minchenwu identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury AT jianfenghuang identificationofs100a9asapotentialinflammationrelatedbiomarkerforradiationinducedlunginjury |