Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system
Korean diesel particulate matter 20 (KDP20) is a pollutant comprising a complex mixture of carbon and chemical irritants. Although particulate matter and nasal inflammation are strongly associated, the underlying molecular mechanism based on systematic transcriptome analysis remains unknown. In this...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
|
| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651323000908 |
| _version_ | 1797903042831450112 |
|---|---|
| author | Bongkyun Park Musun Park Kyuhyung Jo Chan-Sik Kim Su-Jin Baek |
| author_facet | Bongkyun Park Musun Park Kyuhyung Jo Chan-Sik Kim Su-Jin Baek |
| author_sort | Bongkyun Park |
| collection | DOAJ |
| description | Korean diesel particulate matter 20 (KDP20) is a pollutant comprising a complex mixture of carbon and chemical irritants. Although particulate matter and nasal inflammation are strongly associated, the underlying molecular mechanism based on systematic transcriptome analysis remains unknown. In this study, genome-wide gene expression profiles of mouse nasal tissues were determined following exposure to KDP20 for 5 and 10 days and compared with those of the control (n = 4/group). We identified 758 significant differentially expressed genes (DEGs) and classified them as 5-day-specific, 10-day-specific, and common among groups based on their expression patterns. The terms “regulation of alpha-beta T cell differentiation,” “macrophage differentiation,” and “cell adhesion mediated by integrin” were significantly enriched in each group. Receiver operating characteristic analysis revealed six genes as potential predictive biomarkers. The differential expression of these six genes was validated using quantitative RT-PCR (n = 3/group). Furthermore, a possible mechanism for nasal inflammation was suggested through the binding analysis between metal ions and genes. The genes identified in this study may play important roles in regulating the mechanism of nasal inflammation induced by diesel particles, especially immune cell regulation, and may function as markers for diesel particle-induced nasal inflammation. |
| first_indexed | 2024-04-10T09:26:45Z |
| format | Article |
| id | doaj.art-97f92bd95a2a49539754b8570407cef9 |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-04-10T09:26:45Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-97f92bd95a2a49539754b8570407cef92023-02-20T04:08:35ZengElsevierEcotoxicology and Environmental Safety0147-65132023-03-01252114586Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo systemBongkyun Park0Musun Park1Kyuhyung Jo2Chan-Sik Kim3Su-Jin Baek4KM Convergence Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of KoreaKM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of KoreaKM Convergence Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of KoreaKM Convergence Research Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of Korea; Corresponding authors.KM Data Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon 34054, Republic of Korea; Corresponding authors.Korean diesel particulate matter 20 (KDP20) is a pollutant comprising a complex mixture of carbon and chemical irritants. Although particulate matter and nasal inflammation are strongly associated, the underlying molecular mechanism based on systematic transcriptome analysis remains unknown. In this study, genome-wide gene expression profiles of mouse nasal tissues were determined following exposure to KDP20 for 5 and 10 days and compared with those of the control (n = 4/group). We identified 758 significant differentially expressed genes (DEGs) and classified them as 5-day-specific, 10-day-specific, and common among groups based on their expression patterns. The terms “regulation of alpha-beta T cell differentiation,” “macrophage differentiation,” and “cell adhesion mediated by integrin” were significantly enriched in each group. Receiver operating characteristic analysis revealed six genes as potential predictive biomarkers. The differential expression of these six genes was validated using quantitative RT-PCR (n = 3/group). Furthermore, a possible mechanism for nasal inflammation was suggested through the binding analysis between metal ions and genes. The genes identified in this study may play important roles in regulating the mechanism of nasal inflammation induced by diesel particles, especially immune cell regulation, and may function as markers for diesel particle-induced nasal inflammation.http://www.sciencedirect.com/science/article/pii/S0147651323000908Diesel particleGene expression signatureBiomarkerNasal inflammation |
| spellingShingle | Bongkyun Park Musun Park Kyuhyung Jo Chan-Sik Kim Su-Jin Baek Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system Ecotoxicology and Environmental Safety Diesel particle Gene expression signature Biomarker Nasal inflammation |
| title | Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| title_full | Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| title_fullStr | Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| title_full_unstemmed | Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| title_short | Gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| title_sort | gene expression profiling of nasal inflammation induced by diesel particles using an in vivo system |
| topic | Diesel particle Gene expression signature Biomarker Nasal inflammation |
| url | http://www.sciencedirect.com/science/article/pii/S0147651323000908 |
| work_keys_str_mv | AT bongkyunpark geneexpressionprofilingofnasalinflammationinducedbydieselparticlesusinganinvivosystem AT musunpark geneexpressionprofilingofnasalinflammationinducedbydieselparticlesusinganinvivosystem AT kyuhyungjo geneexpressionprofilingofnasalinflammationinducedbydieselparticlesusinganinvivosystem AT chansikkim geneexpressionprofilingofnasalinflammationinducedbydieselparticlesusinganinvivosystem AT sujinbaek geneexpressionprofilingofnasalinflammationinducedbydieselparticlesusinganinvivosystem |