Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis
Background: The pathogenesis and diagnosis of Ankylosing Spondylitis (AS) has remained uncertain due to several reasons, including the lack of studies on the local and systemic immune response in AS. To construct a clinical diagnostic model, this study identified the micro RNA-messenger RNA (miRNA-m...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-09-01
|
| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.949882/full |
| _version_ | 1811181782227222528 |
|---|---|
| author | Chenxing Zhou Tuo Liang Jie Jiang Zide Zhang Jiarui Chen Tianyou Chen Liyi Chen Xuhua Sun ShengSheng Huang Jichong Zhu Shaofeng Wu Xinli Zhan Chong Liu |
| author_facet | Chenxing Zhou Tuo Liang Jie Jiang Zide Zhang Jiarui Chen Tianyou Chen Liyi Chen Xuhua Sun ShengSheng Huang Jichong Zhu Shaofeng Wu Xinli Zhan Chong Liu |
| author_sort | Chenxing Zhou |
| collection | DOAJ |
| description | Background: The pathogenesis and diagnosis of Ankylosing Spondylitis (AS) has remained uncertain due to several reasons, including the lack of studies on the local and systemic immune response in AS. To construct a clinical diagnostic model, this study identified the micro RNA-messenger RNA (miRNA-mRNA) interaction network and immune cell infiltration-related hub genes associated with AS.Materials and Methods: Total RNA was extracted and purified from the interspinous ligament tissue samples of three patients with AS and three patients without AS; miRNA and mRNA microarrays were constructed using the extracted RNA. Bioinformatic tools were used to construct an miRNA-mRNA network, identify hub genes, and analyze immune infiltration associated with AS. Next, we collected the blood samples and clinical characteristics of 359 patients (197 with AS and 162 without AS). On the basis of the clinical characteristics and results of the routine blood tests, we selected immune-related cells whose numbers were significantly different in patients with AS and patients without AS. Univariate and multivariate logistic regression analysis was performed to construct a nomogram. Immunohistochemistry staining analysis was utilized to verify the differentially expression of LYN in AS and controls.Results: A total of 225 differentially expressed miRNAs (DE miRNAs) and 406 differentially expressed mRNAs (DE mRNAs) were identified from the microarray. We selected 15 DE miRNAs and 38 DE mRNAs to construct a miRNA-mRNA network. The expression of LYN, an immune-related gene, correlated with the counts of monocytes, neutrophils, and dendritic cells. Based on the independent predictive factors of sex, age, and counts of monocytes, neutrophils, and white blood cells, a nomogram was established. Receiver operating characteristic (ROC) analysis was performed to evaluate the nomogram, with a C-index of 0.835 and AUC of 0.855.Conclusion:LYN, an immune-related hub gene, correlated with immune cell infiltration in patients with AS. In addition, the counts of monocytes and neutrophils were the independent diagnostic factors for AS. If verified in future studies, a diagnostic model based on these findings may be used to predict AS effectively. |
| first_indexed | 2024-04-11T09:23:09Z |
| format | Article |
| id | doaj.art-f99eecf7213f4ea38e12b98b061f87cf |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-11T09:23:09Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-f99eecf7213f4ea38e12b98b061f87cf2022-12-22T04:32:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-09-011310.3389/fgene.2022.949882949882Immune cell infiltration-related clinical diagnostic model for Ankylosing SpondylitisChenxing ZhouTuo LiangJie JiangZide ZhangJiarui ChenTianyou ChenLiyi ChenXuhua SunShengSheng HuangJichong ZhuShaofeng WuXinli ZhanChong LiuBackground: The pathogenesis and diagnosis of Ankylosing Spondylitis (AS) has remained uncertain due to several reasons, including the lack of studies on the local and systemic immune response in AS. To construct a clinical diagnostic model, this study identified the micro RNA-messenger RNA (miRNA-mRNA) interaction network and immune cell infiltration-related hub genes associated with AS.Materials and Methods: Total RNA was extracted and purified from the interspinous ligament tissue samples of three patients with AS and three patients without AS; miRNA and mRNA microarrays were constructed using the extracted RNA. Bioinformatic tools were used to construct an miRNA-mRNA network, identify hub genes, and analyze immune infiltration associated with AS. Next, we collected the blood samples and clinical characteristics of 359 patients (197 with AS and 162 without AS). On the basis of the clinical characteristics and results of the routine blood tests, we selected immune-related cells whose numbers were significantly different in patients with AS and patients without AS. Univariate and multivariate logistic regression analysis was performed to construct a nomogram. Immunohistochemistry staining analysis was utilized to verify the differentially expression of LYN in AS and controls.Results: A total of 225 differentially expressed miRNAs (DE miRNAs) and 406 differentially expressed mRNAs (DE mRNAs) were identified from the microarray. We selected 15 DE miRNAs and 38 DE mRNAs to construct a miRNA-mRNA network. The expression of LYN, an immune-related gene, correlated with the counts of monocytes, neutrophils, and dendritic cells. Based on the independent predictive factors of sex, age, and counts of monocytes, neutrophils, and white blood cells, a nomogram was established. Receiver operating characteristic (ROC) analysis was performed to evaluate the nomogram, with a C-index of 0.835 and AUC of 0.855.Conclusion:LYN, an immune-related hub gene, correlated with immune cell infiltration in patients with AS. In addition, the counts of monocytes and neutrophils were the independent diagnostic factors for AS. If verified in future studies, a diagnostic model based on these findings may be used to predict AS effectively.https://www.frontiersin.org/articles/10.3389/fgene.2022.949882/fullAnkylosing Spondylitisimmune infiltrationmonocytesneutrophilsnomogramdiagnosis |
| spellingShingle | Chenxing Zhou Tuo Liang Jie Jiang Zide Zhang Jiarui Chen Tianyou Chen Liyi Chen Xuhua Sun ShengSheng Huang Jichong Zhu Shaofeng Wu Xinli Zhan Chong Liu Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis Frontiers in Genetics Ankylosing Spondylitis immune infiltration monocytes neutrophils nomogram diagnosis |
| title | Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis |
| title_full | Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis |
| title_fullStr | Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis |
| title_full_unstemmed | Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis |
| title_short | Immune cell infiltration-related clinical diagnostic model for Ankylosing Spondylitis |
| title_sort | immune cell infiltration related clinical diagnostic model for ankylosing spondylitis |
| topic | Ankylosing Spondylitis immune infiltration monocytes neutrophils nomogram diagnosis |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.949882/full |
| work_keys_str_mv | AT chenxingzhou immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT tuoliang immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT jiejiang immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT zidezhang immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT jiaruichen immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT tianyouchen immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT liyichen immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT xuhuasun immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT shengshenghuang immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT jichongzhu immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT shaofengwu immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT xinlizhan immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis AT chongliu immunecellinfiltrationrelatedclinicaldiagnosticmodelforankylosingspondylitis |