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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 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.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Ji Eun Lee

LAB HEAD: Ji Eun Lee

PROVIDER: PXD039645 | Pride | 2023-02-20

REPOSITORIES: Pride

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			Action	DRS
	20201112_SPSTMT_180min_Temp50_TOP20_MS3_CID35_HCD55_3ug_set1_Frac1.raw	Raw
	20201112_SPSTMT_180min_Temp50_TOP20_MS3_CID35_HCD55_3ug_set1_Frac10.raw	Raw
	20201112_SPSTMT_180min_Temp50_TOP20_MS3_CID35_HCD55_3ug_set1_Frac11.raw	Raw
	20201112_SPSTMT_180min_Temp50_TOP20_MS3_CID35_HCD55_3ug_set1_Frac12.raw	Raw
	20201112_SPSTMT_180min_Temp50_TOP20_MS3_CID35_HCD55_3ug_set1_Frac13.raw	Raw

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

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