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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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Project description:The prevalence of immune-mediated diseases such as allergies and autoimmune diseases is on the rise in the developed world. Microbial exposure is known to modulate the risk for these diseases. In order to explore differences in the gene expression patterns induced in utero in infants born in contrasting standards of living and hygiene, we collected umbilical cord blood RNA samples from full-term newborn infants born with normal vaginal delivery in Finland (modern society), Estonia (rapidly developing society) and the Republic of Karelia, Russia (poor economical conditions). Transcriptomic profiles were analyzed using whole genome microarrays including gender, gestational age, birth month and HLA allele genotype as confounding variables in the analysis. The data revealed that the whole blood transcriptome of Finnish and Estonian neonates differ from their Karelian counterparts. Samples from Karelian infants had an increase in transcripts associated with LPS induction and bacterial sepsis observed in 1-year-old infants in earlier studies. The results suggest exposure to toll like receptor (TLR) ligands and a more matured immune response in infants born in Petrozavodsk compared to the Finnish and Estonian infants. These results further support the concept of a conspicuous plasticity in the developing immune system: the environmental factors that play a role in the susceptibility/protection towards immune-mediated diseases begin to shape the neonatal immunity already in utero and direct the maturation of both the adaptive and the innate immune responses in accordance with the surrounding microbial milieu. Umbilical cord blood was drawn into Tempus Blood RNA tubes (Applied Biosystems) from children born between January and May 2010 at the maternity unit of Jorvi hospital (Espoo, Finland; n=48), maternity units of Tartu and PM-CM-5lva (Estonia; n=25), or two maternity departments in Petrozavodsk (capital of the Republic of Karelia, Russian Federation; n=40) according to the manufacturerM-BM-4s protocol and then stored in M-bM-^HM-^R70 M-BM-0C until analyzed. All newborn infants were full-term (>36 gestational weeks) and born vaginally. 113 cord blood RNA samples were analyzed with Affymetrix U219 gene array. Gender, pregnancy week, month of birth and HLA risk class were included as confounding factors in the analysis model.

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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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