Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis
Abstract Background To identify potential serum biomarkers for differentiating between axial psoriatic arthritis (axPsA) and peripheral psoriatic arthritis (pPsA). Methods Serum samples were collected from patients with PsA to create a biomarker discovery cohort and a verification cohort. Patients w...
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| Format: | Article |
| Language: | English |
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BMC
2024-03-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-024-01731-9 |
| _version_ | 1797275364597170176 |
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| author | Chaofan Lu Fan Yang Shihao He Hongxia Yu Qian Wang Mengtao Li Xiaofeng Zeng Xiaomei Leng |
| author_facet | Chaofan Lu Fan Yang Shihao He Hongxia Yu Qian Wang Mengtao Li Xiaofeng Zeng Xiaomei Leng |
| author_sort | Chaofan Lu |
| collection | DOAJ |
| description | Abstract Background To identify potential serum biomarkers for differentiating between axial psoriatic arthritis (axPsA) and peripheral psoriatic arthritis (pPsA). Methods Serum samples were collected from patients with PsA to create a biomarker discovery cohort and a verification cohort. Patients with PsA were classified into axial or peripheral subtypes based on imaging criteria. Untargeted proteomics technology was used in the discovery phase to screen for biomarkers, and candidate biomarkers were evaluated using enzyme-linked immunosorbent assay (ELISA) in the verification phase. Results We identified 45 significantly differentially expressed proteins (DEPs) between axPsA (n = 20) and pPsA (n = 20) with liquid chromatography-mass spectrometry. Among these DEPs, serum pigment epithelium-derived factor (PEDF) was identified as a candidate biomarker using the Boruta algorithm and lasso regression. Results of ELISA further confirmed that the level of serum PEDF expression was significantly higher in axPsA (n = 37) than in pPsA (n = 51) at the verification cohort (37.9 ± 10.1 vs. 30.5 ± 8.9 μg/mL, p < 0.001). Receiver operating characteristics analysis showed that PEDF had an area under the curve (AUC) of 0.72. Serum PEDF was positively correlated with body mass index and C-reactive protein. Additionally, there was a tendency towards a positive correlation between PEDF and the Bath Ankylosing Spondylitis Disease Activity Index. Conclusions This study provided a comprehensive characterization of the proteome in axPsA and pPsA and identified a candidate biomarker, PEDF, that may contribute to early diagnosis for axPsA. |
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| format | Article |
| id | doaj.art-a89c0863e9e54c44930e0eef77d111c2 |
| institution | Directory Open Access Journal |
| issn | 2047-783X |
| language | English |
| last_indexed | 2024-03-07T15:13:18Z |
| publishDate | 2024-03-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj.art-a89c0863e9e54c44930e0eef77d111c22024-03-05T18:04:43ZengBMCEuropean Journal of Medical Research2047-783X2024-03-0129111110.1186/s40001-024-01731-9Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritisChaofan Lu0Fan Yang1Shihao He2Hongxia Yu3Qian Wang4Mengtao Li5Xiaofeng Zeng6Xiaomei Leng7Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology, Guizhou Xingyi People’s HospitalDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationDepartment of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Key Laboratory of Rheumatology and Clinical Immunology, Ministry of EducationAbstract Background To identify potential serum biomarkers for differentiating between axial psoriatic arthritis (axPsA) and peripheral psoriatic arthritis (pPsA). Methods Serum samples were collected from patients with PsA to create a biomarker discovery cohort and a verification cohort. Patients with PsA were classified into axial or peripheral subtypes based on imaging criteria. Untargeted proteomics technology was used in the discovery phase to screen for biomarkers, and candidate biomarkers were evaluated using enzyme-linked immunosorbent assay (ELISA) in the verification phase. Results We identified 45 significantly differentially expressed proteins (DEPs) between axPsA (n = 20) and pPsA (n = 20) with liquid chromatography-mass spectrometry. Among these DEPs, serum pigment epithelium-derived factor (PEDF) was identified as a candidate biomarker using the Boruta algorithm and lasso regression. Results of ELISA further confirmed that the level of serum PEDF expression was significantly higher in axPsA (n = 37) than in pPsA (n = 51) at the verification cohort (37.9 ± 10.1 vs. 30.5 ± 8.9 μg/mL, p < 0.001). Receiver operating characteristics analysis showed that PEDF had an area under the curve (AUC) of 0.72. Serum PEDF was positively correlated with body mass index and C-reactive protein. Additionally, there was a tendency towards a positive correlation between PEDF and the Bath Ankylosing Spondylitis Disease Activity Index. Conclusions This study provided a comprehensive characterization of the proteome in axPsA and pPsA and identified a candidate biomarker, PEDF, that may contribute to early diagnosis for axPsA.https://doi.org/10.1186/s40001-024-01731-9Arthritis, psoriaticProteomeBiomarkerAxial PsALC-MS/MS |
| spellingShingle | Chaofan Lu Fan Yang Shihao He Hongxia Yu Qian Wang Mengtao Li Xiaofeng Zeng Xiaomei Leng Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis European Journal of Medical Research Arthritis, psoriatic Proteome Biomarker Axial PsA LC-MS/MS |
| title | Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| title_full | Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| title_fullStr | Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| title_full_unstemmed | Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| title_short | Serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| title_sort | serum proteome analysis identifies a potential biomarker for axial psoriatic arthritis |
| topic | Arthritis, psoriatic Proteome Biomarker Axial PsA LC-MS/MS |
| url | https://doi.org/10.1186/s40001-024-01731-9 |
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