Untargeted serum metabonomics study of psoriasis vulgaris based on ultra-performance liquid chromatography coupled to mass spectrometry

// Li Li 1 , Chuan-Jian Lu 2 , Ling Han 1 , Jing-Wen Deng 2 , Ze-Hui He 3 , Yu-Hong Yan 2 and Zhong-Zhao Zhang 2 1 Molecular Biology and Systems Biology Team of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China 2 Department of Dermatology, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China 3 Large Data Research Team of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou 510120, China Correspondence to: Li Li, email: Lily_vvv@163.com Chuan-Jian Lu, email: Luchuanjian888@vip.sina.com Ling Han, email: Linghan36@163.com Keywords: psoriasis; metabonomics; LC-MS; biomarker; high-throughput Received: October 07, 2016      Accepted: August 29, 2017      Published: October 06, 2017 ABSTRACT Psoriasis is a common, chronic, systemic inflammatory skin disease, the etiology and pathogenesis is unclear. An untargeted high-throughput metabonomics method based on liquid chromatography coupled to mass spectrometry was applied to study the serum metabolic changes in psoriasis vulgaris patients, and to discover serum potential biomarkers for identification, diagnosis and exploring pathogenesis of psoriasis. The serum metabolic profiles from 150 subjects (75 psoriasis patients and 75 healthy controls) were acquired, the raw spectrometric data were processed by multivariate statistical analysis, and 44 potential biomarkers were screened out and identified. The potential biomarkers were mainly involved in glycerophospholipid metabolism, sphingolipid metabolism, arachidonic acid metabolism, bile acid biosynthesis, indicated the pathogenesis of psoriasis may be related to the disturbed metabolic pathways.