Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis
BackgroundPsoriasis is an immune-mediated disorder influenced by environmental factors on a genetic basis. Despite advancements, challenges persist, including the diminishing efficacy of biologics and small-molecule targeted agents, alongside managing recurrence and psoriasis-related comorbidities....
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2024.1374763/full |
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| author | Zhiqiang Ma Zhiqiang Ma Pingyu An Siyu Hao Zhangxin Huang Anqi Yin Yuzhen Li Jiangtian Tian Jiangtian Tian |
| author_facet | Zhiqiang Ma Zhiqiang Ma Pingyu An Siyu Hao Zhangxin Huang Anqi Yin Yuzhen Li Jiangtian Tian Jiangtian Tian |
| author_sort | Zhiqiang Ma |
| collection | DOAJ |
| description | BackgroundPsoriasis is an immune-mediated disorder influenced by environmental factors on a genetic basis. Despite advancements, challenges persist, including the diminishing efficacy of biologics and small-molecule targeted agents, alongside managing recurrence and psoriasis-related comorbidities. Unraveling the underlying pathogenesis and identifying valuable biomarkers remain pivotal for diagnosing and treating psoriasis.MethodsWe employed a series of bioinformatics (including single-cell sequencing data analysis and machine learning techniques) and statistical methods to integrate and analyze multi-level data. We observed the cellular changes in psoriatic skin tissues, screened the key genes Fatty acid binding protein 5 (FABP5) and The killer cell lectin-like receptor B1 (KLRB1), evaluated the efficacy of six widely prescribed drugs on psoriasis treatment in modulating the dendritic cell-associated pathway, and assessed their overall efficacy. Finally, RT-qPCR, immunohistochemistry, and immunofluorescence assays were used to validate.ResultsThe regulatory influence of dendritic cells (DCs) on T cells through the CD70/CD27 signaling pathway may emerge as a significant facet of the inflammatory response in psoriasis. Notably, FABP5 and KLRB1 exhibited up-regulation and co-localization in psoriatic skin tissues and M5-induced HaCaT cells, serving as potential biomarkers influencing psoriasis development.ConclusionOur study analyzed the impact of DC-T cell crosstalk in psoriasis, elucidated the characterization of two biomarkers, FABP5 and KLRB1, in psoriasis, and highlighted the promise and value of tofacitinib in psoriasis therapy targeting DCs. |
| first_indexed | 2024-04-24T19:17:01Z |
| format | Article |
| id | doaj.art-055f5e98be8c45c4a1f037fb40c711e3 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-24T19:17:01Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-055f5e98be8c45c4a1f037fb40c711e32024-03-26T04:50:02ZengFrontiers Media S.A.Frontiers in Immunology1664-32242024-03-011510.3389/fimmu.2024.13747631374763Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasisZhiqiang Ma0Zhiqiang Ma1Pingyu An2Siyu Hao3Zhangxin Huang4Anqi Yin5Yuzhen Li6Jiangtian Tian7Jiangtian Tian8Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, ChinaBasic Medical College, Harbin Medical University, Harbin, ChinaDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Ophthalmology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaThe Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, ChinaBackgroundPsoriasis is an immune-mediated disorder influenced by environmental factors on a genetic basis. Despite advancements, challenges persist, including the diminishing efficacy of biologics and small-molecule targeted agents, alongside managing recurrence and psoriasis-related comorbidities. Unraveling the underlying pathogenesis and identifying valuable biomarkers remain pivotal for diagnosing and treating psoriasis.MethodsWe employed a series of bioinformatics (including single-cell sequencing data analysis and machine learning techniques) and statistical methods to integrate and analyze multi-level data. We observed the cellular changes in psoriatic skin tissues, screened the key genes Fatty acid binding protein 5 (FABP5) and The killer cell lectin-like receptor B1 (KLRB1), evaluated the efficacy of six widely prescribed drugs on psoriasis treatment in modulating the dendritic cell-associated pathway, and assessed their overall efficacy. Finally, RT-qPCR, immunohistochemistry, and immunofluorescence assays were used to validate.ResultsThe regulatory influence of dendritic cells (DCs) on T cells through the CD70/CD27 signaling pathway may emerge as a significant facet of the inflammatory response in psoriasis. Notably, FABP5 and KLRB1 exhibited up-regulation and co-localization in psoriatic skin tissues and M5-induced HaCaT cells, serving as potential biomarkers influencing psoriasis development.ConclusionOur study analyzed the impact of DC-T cell crosstalk in psoriasis, elucidated the characterization of two biomarkers, FABP5 and KLRB1, in psoriasis, and highlighted the promise and value of tofacitinib in psoriasis therapy targeting DCs.https://www.frontiersin.org/articles/10.3389/fimmu.2024.1374763/fullsingle-cell sequencing analysismachine learningpsoriasisdendritic cellbiomarker |
| spellingShingle | Zhiqiang Ma Zhiqiang Ma Pingyu An Siyu Hao Zhangxin Huang Anqi Yin Yuzhen Li Jiangtian Tian Jiangtian Tian Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis Frontiers in Immunology single-cell sequencing analysis machine learning psoriasis dendritic cell biomarker |
| title | Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis |
| title_full | Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis |
| title_fullStr | Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis |
| title_full_unstemmed | Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis |
| title_short | Single-cell sequencing analysis and multiple machine-learning models revealed the cellular crosstalk of dendritic cells and identified FABP5 and KLRB1 as novel biomarkers for psoriasis |
| title_sort | single cell sequencing analysis and multiple machine learning models revealed the cellular crosstalk of dendritic cells and identified fabp5 and klrb1 as novel biomarkers for psoriasis |
| topic | single-cell sequencing analysis machine learning psoriasis dendritic cell biomarker |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2024.1374763/full |
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