Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response
Objective Diagnosis of SLE is based on clinical manifestations but is heterogeneous in early onset. Hence, we aimed to evaluate the feature of the immunoprofiling in patients with SLE and apply it to develop an immune signature algorithm for supporting SLE diagnosis.Methods We enrolled 13 newly diag...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2022-11-01
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| Series: | Lupus Science and Medicine |
| Online Access: | https://lupus.bmj.com/content/9/1/e000693.full |
| _version_ | 1797786798765637632 |
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| author | Chang-Youh Tsai Ming-Han Chen Yee Chao Ming-Huang Chen Jan-Mou Lee Kai-Yuan Chou |
| author_facet | Chang-Youh Tsai Ming-Han Chen Yee Chao Ming-Huang Chen Jan-Mou Lee Kai-Yuan Chou |
| author_sort | Chang-Youh Tsai |
| collection | DOAJ |
| description | Objective Diagnosis of SLE is based on clinical manifestations but is heterogeneous in early onset. Hence, we aimed to evaluate the feature of the immunoprofiling in patients with SLE and apply it to develop an immune signature algorithm for supporting SLE diagnosis.Methods We enrolled 13 newly diagnosed patients with SLE and 9 healthy controls (HCs) followed by analysing their immunoprofilings within their peripheral blood mononuclear cells (PBMCs) through flow cytometry. The immunoprofiling from the patients with SLE and HCs were ranked and formed an immune signature score. Besides, we enrolled four patients with SLE and monitored the changes in their immunoprofilings after immunosuppressant treatment.Results Among 93 immune cell subsets, 29 differed significantly between patients with SLE and HCs, and lower dendritic and natural killer cell percentages and a higher CD8+ T-cell percentage were identified in patients with SLE. In an investigation of immune-tolerant-related cell subsets, higher concentrations of CD8+ regulatory natural killer T cells, programmed cell death 1 (PD-1)+ T cells, and lower concentrations of programmed cell death ligand 1 (PD-L1)+ PBMCs were observed in the SLE group. The immune signature score from patients with SLE was significantly different from that from the HCs. After treatment, the disease activity of the four patients were tended to stable and percentages of PD-L1+ monocytes, PD-1+ CD4 T and CD8 T cells in patients with SLE exhibited positively and negatively correlation with the SLEDAI-2K (Systemic Lupus Erythematosus Disease Activity Index 2000) score, which might associate with the remission of SLE.Conclusions The comparison of immunprofiling between patients with SLE and HCs exhibited a distinct pattern. This difference and its application to immune signature algorithm shed light on the studies of SLE pathogenesis and immune-based diagnostic tool development in the future. |
| first_indexed | 2024-03-13T01:13:56Z |
| format | Article |
| id | doaj.art-c3bf259771164501861b28d43722be42 |
| institution | Directory Open Access Journal |
| issn | 2053-8790 |
| language | English |
| last_indexed | 2024-03-13T01:13:56Z |
| publishDate | 2022-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | Lupus Science and Medicine |
| spelling | doaj.art-c3bf259771164501861b28d43722be422023-07-05T15:30:06ZengBMJ Publishing GroupLupus Science and Medicine2053-87902022-11-019110.1136/lupus-2022-000693Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic responseChang-Youh Tsai0Ming-Han Chen1Yee Chao2Ming-Huang Chen3Jan-Mou Lee4Kai-Yuan Chou52 Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanFaculty of Medicine, National Yang Ming Chiao Tung University, Taipei City, TaiwanDepartment of Oncology, Taipei Veterans General Hospital, Taipei, TaiwanFaculty of Medicine, National Yang Ming Chiao Tung University, Taipei City, TaiwanDepartment of Advanced Research, FullHope Biomedical Co Ltd, New Taipei City, TaiwanDepartment of Advanced Research, FullHope Biomedical Co Ltd, New Taipei City, TaiwanObjective Diagnosis of SLE is based on clinical manifestations but is heterogeneous in early onset. Hence, we aimed to evaluate the feature of the immunoprofiling in patients with SLE and apply it to develop an immune signature algorithm for supporting SLE diagnosis.Methods We enrolled 13 newly diagnosed patients with SLE and 9 healthy controls (HCs) followed by analysing their immunoprofilings within their peripheral blood mononuclear cells (PBMCs) through flow cytometry. The immunoprofiling from the patients with SLE and HCs were ranked and formed an immune signature score. Besides, we enrolled four patients with SLE and monitored the changes in their immunoprofilings after immunosuppressant treatment.Results Among 93 immune cell subsets, 29 differed significantly between patients with SLE and HCs, and lower dendritic and natural killer cell percentages and a higher CD8+ T-cell percentage were identified in patients with SLE. In an investigation of immune-tolerant-related cell subsets, higher concentrations of CD8+ regulatory natural killer T cells, programmed cell death 1 (PD-1)+ T cells, and lower concentrations of programmed cell death ligand 1 (PD-L1)+ PBMCs were observed in the SLE group. The immune signature score from patients with SLE was significantly different from that from the HCs. After treatment, the disease activity of the four patients were tended to stable and percentages of PD-L1+ monocytes, PD-1+ CD4 T and CD8 T cells in patients with SLE exhibited positively and negatively correlation with the SLEDAI-2K (Systemic Lupus Erythematosus Disease Activity Index 2000) score, which might associate with the remission of SLE.Conclusions The comparison of immunprofiling between patients with SLE and HCs exhibited a distinct pattern. This difference and its application to immune signature algorithm shed light on the studies of SLE pathogenesis and immune-based diagnostic tool development in the future.https://lupus.bmj.com/content/9/1/e000693.full |
| spellingShingle | Chang-Youh Tsai Ming-Han Chen Yee Chao Ming-Huang Chen Jan-Mou Lee Kai-Yuan Chou Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response Lupus Science and Medicine |
| title | Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response |
| title_full | Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response |
| title_fullStr | Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response |
| title_full_unstemmed | Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response |
| title_short | Novel immunoprofiling method for diagnosing SLE and evaluating therapeutic response |
| title_sort | novel immunoprofiling method for diagnosing sle and evaluating therapeutic response |
| url | https://lupus.bmj.com/content/9/1/e000693.full |
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