Omics in IgG4-related disease
Abstract. Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients’ symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mecha...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2025-07-01
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| Series: | Chinese Medical Journal |
| Online Access: | http://journals.lww.com/10.1097/CM9.0000000000003320 |
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| _version_ | 1850101164549341184 |
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| author | Shaozhe Cai Yu Chen Ziwei Hu Shengyan Lin Rongfen Gao Bingxia Ming Jixin Zhong Wei Sun Qian Chen John H Stone Lingli Dong Xiangxiang Pan |
| author_facet | Shaozhe Cai Yu Chen Ziwei Hu Shengyan Lin Rongfen Gao Bingxia Ming Jixin Zhong Wei Sun Qian Chen John H Stone Lingli Dong Xiangxiang Pan |
| author_sort | Shaozhe Cai |
| collection | DOAJ |
| description | Abstract. Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients’ symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity—potentially attributed to underrecognition—and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, “omics” studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality. |
| format | Article |
| id | doaj-art-2ab94a91bd434cb4a79b26d4de8cdb02 |
| institution | DOAJ |
| issn | 0366-6999 2542-5641 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Chinese Medical Journal |
| spelling | doaj-art-2ab94a91bd434cb4a79b26d4de8cdb022025-08-20T02:40:07ZengWolters KluwerChinese Medical Journal0366-69992542-56412025-07-01138141665167510.1097/CM9.0000000000003320202507200-00004Omics in IgG4-related diseaseShaozhe Cai0Yu Chen1Ziwei Hu2Shengyan Lin3Rongfen Gao4Bingxia Ming5Jixin Zhong6Wei Sun7Qian Chen8John H Stone9Lingli Dong10Xiangxiang Pan1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China2 Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430014, China3 The Division of Gastroenterology, Department of Internal Medicine at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China4 Division of Rheumatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02301, USA1 Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, ChinaAbstract. Research on IgG4-related disease (IgG4-RD), an autoimmune condition recognized to be a unique disease entity only two decades ago, has processed from describing patients’ symptoms and signs to summarizing its critical pathological features, and further to investigating key pathogenic mechanisms. Challenges in gaining a better understanding of the disease, however, stem from its relative rarity—potentially attributed to underrecognition—and the absence of ideal experimental animal models. Recently, with the development of various high-throughput techniques, “omics” studies at different levels (particularly the single-cell omics) have shown promise in providing detailed molecular features of IgG4-RD. While, the application of omics approaches in IgG4-RD is still at an early stage. In this paper, we review the current progress of omics research in IgG4-RD and discuss the value of machine learning methods in analyzing the data with high dimensionality.http://journals.lww.com/10.1097/CM9.0000000000003320 |
| spellingShingle | Shaozhe Cai Yu Chen Ziwei Hu Shengyan Lin Rongfen Gao Bingxia Ming Jixin Zhong Wei Sun Qian Chen John H Stone Lingli Dong Xiangxiang Pan Omics in IgG4-related disease Chinese Medical Journal |
| title | Omics in IgG4-related disease |
| title_full | Omics in IgG4-related disease |
| title_fullStr | Omics in IgG4-related disease |
| title_full_unstemmed | Omics in IgG4-related disease |
| title_short | Omics in IgG4-related disease |
| title_sort | omics in igg4 related disease |
| url | http://journals.lww.com/10.1097/CM9.0000000000003320 |
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