Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis
Abstract Although biomarker candidates associated with psoriasis have been suggested, those for predicting the risk of cardiovascular disease (CVD) early in patients with psoriasis are lacking. We aimed to identify candidate biomarkers that can predict the occurrence of CVD in psoriasis patients. We...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-30103-2 |
| _version_ | 1797864711590510592 |
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| author | Na Young Kim Ji Hyun Back Jong Hwan Shin Mi-Jung Ji Su Jin Lee Yae Eun Park Hyun-Mee Park Man Bock Gu Ji Eun Lee Jeong Eun Kim |
| author_facet | Na Young Kim Ji Hyun Back Jong Hwan Shin Mi-Jung Ji Su Jin Lee Yae Eun Park Hyun-Mee Park Man Bock Gu Ji Eun Lee Jeong Eun Kim |
| author_sort | Na Young Kim |
| collection | DOAJ |
| description | Abstract Although biomarker candidates associated with psoriasis have been suggested, those for predicting the risk of cardiovascular disease (CVD) early in patients with psoriasis are lacking. We aimed to identify candidate biomarkers that can predict the occurrence of CVD in psoriasis patients. We pursued quantitative proteomic analysis of serum samples composed of three groups: psoriasis patients with and those without CVD risk factors, and healthy controls. Age/Sex-matched serum samples were selected and labeled with 16-plex tandem mass tag (TMT) and analyzed using liquid chromatography-mass spectrometry and subsequent verification with ELISA. Of the 184 proteins that showed statistical significance (P-value < 0.05) among the three groups according to TMT-based quantitative analysis, 98 proteins showed significant differences (> 2.0-fold) between the psoriasis groups with and without CVD risk factors. Verification by ELISA revealed that caldesmon (CALD1), myeloid cell nuclear differentiation antigen (MNDA), and zyxin (ZYX) levels were significantly increased in the psoriasis group with CVD risk factors. Further network analysis identified pathways including integrin signaling, which could be related to platelet aggregation, and actin cytoskeleton signaling. Three novel candidates (MNDA, ZYX, and CALD1) could be potential biomarkers for predicting CVD risks in psoriasis patients. We expect these biomarker candidates can be used to predict CVD risk in psoriasis patients in clinical settings although further studies including large validation are needed. |
| first_indexed | 2024-04-09T22:57:33Z |
| format | Article |
| id | doaj.art-ad1ba6c60df349aca87c1360d38deb15 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T22:57:33Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ad1ba6c60df349aca87c1360d38deb152023-03-22T11:13:12ZengNature PortfolioScientific Reports2045-23222023-02-0113111310.1038/s41598-023-30103-2Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasisNa Young Kim0Ji Hyun Back1Jong Hwan Shin2Mi-Jung Ji3Su Jin Lee4Yae Eun Park5Hyun-Mee Park6Man Bock Gu7Ji Eun Lee8Jeong Eun Kim9Department of Dermatology, Hanyang University College of MedicineDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea UniversityAdvanced Analysis and Data Center, Korea Institute of Science and TechnologyAdvanced Analysis and Data Center, Korea Institute of Science and TechnologyChemical & Biological Integrative Research Center, Biomedical Research Institute, Korea Institute of Science and TechnologyChemical & Biological Integrative Research Center, Biomedical Research Institute, Korea Institute of Science and TechnologyAdvanced Analysis and Data Center, Korea Institute of Science and TechnologyDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea UniversityChemical & Biological Integrative Research Center, Biomedical Research Institute, Korea Institute of Science and TechnologyDepartment of Dermatology, Hanyang University College of MedicineAbstract Although biomarker candidates associated with psoriasis have been suggested, those for predicting the risk of cardiovascular disease (CVD) early in patients with psoriasis are lacking. We aimed to identify candidate biomarkers that can predict the occurrence of CVD in psoriasis patients. We pursued quantitative proteomic analysis of serum samples composed of three groups: psoriasis patients with and those without CVD risk factors, and healthy controls. Age/Sex-matched serum samples were selected and labeled with 16-plex tandem mass tag (TMT) and analyzed using liquid chromatography-mass spectrometry and subsequent verification with ELISA. Of the 184 proteins that showed statistical significance (P-value < 0.05) among the three groups according to TMT-based quantitative analysis, 98 proteins showed significant differences (> 2.0-fold) between the psoriasis groups with and without CVD risk factors. Verification by ELISA revealed that caldesmon (CALD1), myeloid cell nuclear differentiation antigen (MNDA), and zyxin (ZYX) levels were significantly increased in the psoriasis group with CVD risk factors. Further network analysis identified pathways including integrin signaling, which could be related to platelet aggregation, and actin cytoskeleton signaling. Three novel candidates (MNDA, ZYX, and CALD1) could be potential biomarkers for predicting CVD risks in psoriasis patients. We expect these biomarker candidates can be used to predict CVD risk in psoriasis patients in clinical settings although further studies including large validation are needed.https://doi.org/10.1038/s41598-023-30103-2 |
| spellingShingle | Na Young Kim Ji Hyun Back Jong Hwan Shin Mi-Jung Ji Su Jin Lee Yae Eun Park Hyun-Mee Park Man Bock Gu Ji Eun Lee Jeong Eun Kim Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis Scientific Reports |
| title | Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| title_full | Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| title_fullStr | Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| title_full_unstemmed | Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| title_short | Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| title_sort | quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis |
| url | https://doi.org/10.1038/s41598-023-30103-2 |
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