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. 2017 Sep;309(7):519-528.
doi: 10.1007/s00403-017-1760-1. Epub 2017 Jul 10.

The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease

Aigar Ottas  1   2 , Dmytro Fishman  3   4 , Tiia-Linda Okas  5 , Külli Kingo  6   7 , Ursel Soomets  8   9
Affiliations

The metabolic analysis of psoriasis identifies the associated metabolites while providing computational models for the monitoring of the disease

Aigar Ottas et al. Arch Dermatol Res. 2017 Sep.

Abstract

The majority of studies on psoriasis have focused on explaining the genetic background and its associations with the immune system's response. The aim of this study was to identify the low-molecular weight compounds contributing to the metabolomic profile of psoriasis and to provide computational models that help with the classification and monitoring of the severity of the disease. We compared the results from targeted and untargeted analyses of patients' serums with plaque psoriasis to controls. The main differences were found in the concentrations of acylcarnitines, phosphatidylcholines, amino acids, urea, phytol, and 1,11-undecanedicarboxylic acid. The data from the targeted analysis were used to build classification models for psoriasis. The results from this study provide an overview of the metabolomic serum profile of psoriasis along with promising statistical models for the monitoring of the disease.

Keywords: Computational model; Metabolomics; Psoriasis; Targeted analysis; Untargeted analysis.

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Conflict of interest statement

Conflict of interest

The authors state no conflict of interest.

Ethics approval

This study was approved by the Research Ethics Committee of the University of Tartu. Permission number 245/M-18. The Declaration of Helsinki protocols were followed and patients gave their informed, written consent.

Figures

Fig. 1
Fig. 1
PCA plot of the targeted analysis. Psoriasis samples are marked as gray triangles and control samples as black circles. The metabolite groups responsible for the separation are marked at the end of the arrows. X and Y axes represent the percentage of variability explained by principal components one and two
Fig. 2
Fig. 2
PCA plot of the untargeted analysis. Controls are shown as gray triangles, while psoriasis patients are marked as black circles. The metabolites responsible for the separation are shown at the end of the arrows. X and Y axes represent the percentage of variability explained by principal components one and two
Fig. 3
Fig. 3
Distribution of standardized signals for nine metabolites overlapping in all three modeling methods. Red dots represent standardized concentrations for psoriasis patients, while blue ones represent controls
See this image and copyright information in PMC

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