Quantitative proteomic analysis of human serum using tandem mass tags to predict cardiovascular risks in patients with psoriasis

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

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3 Citations (Scopus)


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.

Original languageEnglish
Article number2869
JournalScientific reports
Issue number1
Publication statusPublished - 2023 Dec

Bibliographical note

Funding Information:
This work was supported by a National Research Foundation of Korea (NRF) grant that was funded by the Korea government (MSIT) (No. 2018R1C1B5043041). This work was supported by the International Research & Development Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (2019K1A4A7A02102530), the Korea Health Technology R&D Project through the Korea Health Industry Development Institute funded by the Ministry of Health & Welfare (HI20C0013), and by the KIST Institutional Program.

Publisher Copyright:
© 2023, The Author(s).

ASJC Scopus subject areas

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