Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis
Systemic lupus erythematosus (SLE) is an autoimmune disease that affects multiple body systems with heterogeneous clinical manifestations. Since gene expression analyses have been accomplished on diverse types of samples to specify SLE-related genes, single-cohort transcriptomics have not produced r...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.928623/full |
| _version_ | 1818235086454128640 |
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| author | Meilin Wei Qiguan Dong Shaoqiu Chen Junlong Wang Hua Yang Qin Xiong |
| author_facet | Meilin Wei Qiguan Dong Shaoqiu Chen Junlong Wang Hua Yang Qin Xiong |
| author_sort | Meilin Wei |
| collection | DOAJ |
| description | Systemic lupus erythematosus (SLE) is an autoimmune disease that affects multiple body systems with heterogeneous clinical manifestations. Since gene expression analyses have been accomplished on diverse types of samples to specify SLE-related genes, single-cohort transcriptomics have not produced reliable results. Using an integrated multi-cohort analysis framework, we analyzed whole blood cells from SLE patients from three transcriptomics cohorts (n=1222) and identified a five-gene signature that distinguished SLE patients from controls. We validated the diagnostic performance of this five-gene signature in six independent validation cohorts (n= 469), with an area under the receiver operating characteristic curve of 0.88 [95% CI 0.7 − 0.96]. This five-gene signature may be associated with the proportion of SLE immune cells, and generalizable across ages and sample types with real diagnostic value for clinical application. |
| first_indexed | 2024-12-12T11:48:23Z |
| format | Article |
| id | doaj.art-edd35976a49845aea9213ee06009df59 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-12T11:48:23Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-edd35976a49845aea9213ee06009df592022-12-22T00:25:24ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-07-011310.3389/fimmu.2022.928623928623Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort AnalysisMeilin Wei0Qiguan Dong1Shaoqiu Chen2Junlong Wang3Hua Yang4Qin Xiong5Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Nanchang University, Jiangxi, ChinaDepartment of Oncology, General Hospital of Fushun Mining Bureau of Liaoning Health Industry Group, Fushun, ChinaMolecular Biosciences and Bioengineering Program, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Honolulu, HI, United StatesMolecular Biosciences and Bioengineering Program, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Honolulu, HI, United StatesChaminade University of Honolulu, Honolulu, HI, United StatesDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanchang University, Jiangxi, ChinaSystemic lupus erythematosus (SLE) is an autoimmune disease that affects multiple body systems with heterogeneous clinical manifestations. Since gene expression analyses have been accomplished on diverse types of samples to specify SLE-related genes, single-cohort transcriptomics have not produced reliable results. Using an integrated multi-cohort analysis framework, we analyzed whole blood cells from SLE patients from three transcriptomics cohorts (n=1222) and identified a five-gene signature that distinguished SLE patients from controls. We validated the diagnostic performance of this five-gene signature in six independent validation cohorts (n= 469), with an area under the receiver operating characteristic curve of 0.88 [95% CI 0.7 − 0.96]. This five-gene signature may be associated with the proportion of SLE immune cells, and generalizable across ages and sample types with real diagnostic value for clinical application.https://www.frontiersin.org/articles/10.3389/fimmu.2022.928623/fullSLEtranscriptomediagnosisimmune cellsmulti-cohort |
| spellingShingle | Meilin Wei Qiguan Dong Shaoqiu Chen Junlong Wang Hua Yang Qin Xiong Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis Frontiers in Immunology SLE transcriptome diagnosis immune cells multi-cohort |
| title | Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis |
| title_full | Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis |
| title_fullStr | Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis |
| title_full_unstemmed | Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis |
| title_short | Identification of Key Biomarkers in Systemic Lupus Erythematosus by a Multi-Cohort Analysis |
| title_sort | identification of key biomarkers in systemic lupus erythematosus by a multi cohort analysis |
| topic | SLE transcriptome diagnosis immune cells multi-cohort |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.928623/full |
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