Background Long-chain fatty acids (LCFAs) are involved in regulating multiple physiological processes as signalling molecules. Gas chromatography–mass spectrometry (GC–MS) is widely used to quantify LCFAs. However, current quantitative methods for LCFAs using GC–MS have demonstrated complicated issues. Psoriasis is a chronic inflammatory skin disease, and its pathogenesis may be related to the overproduction of interleukin-17A (IL-17A). Clinical efficacy of anti-IL-17A monoclonal antibody (mAb) treatment in psoriasis patients has been demonstrated. Recent studies suggest that LCFAs play varying roles in the pathogenesis of psoriasis. However, more comprehensive research is needed to illuminate the mechanism of LCFAs in psoriasis. Methods The established in situ derivatization method for analysing LCFAs with a GC–MS platform was utilized to conduct serum lipidomics analysis of healthy volunteers and psoriasis patients receiving pretherapy and posttreatment with of anti-IL-17A mAb. Imiquimod (IMQ)-treated wild type (WT) and T-cell receptor delta chain knock-out ( Tcrd −/− ) mice were used to investigate the correlation between IL-17A and abnormal changes in LCFAs in psoriasis patients. Results A rapid and sensitive in situ extraction derivatization method for quantifying LCFAs using GC–MS was established. Serum lipidomic results showed that psoriasis patients had higher levels of saturated fatty acids (SFAs) and ω-6 polyunsaturated fatty acids (PUFAs) but lower levels of monounsaturated fatty acids (MUFAs) and ω-3 PUFAs than healthy individuals, indicating impaired serum LCFA metabolism. Anti-IL-17A mAb treatment affected most of these LCFA changes. Analysis of LCFAs in IMQ-treated mice showed that LCFAs increased in the serum of WT mice, while there were no significant changes in the Tcrd −/− mice. SFAs increased in IMQ-treated WT mice, while MUFAs showed the opposite trend, and PUFAs did not change significantly. Conclusions This study presented a dependable method for quantifying LCFAs that enhanced sensitivity and reduced analysis time. The lipidomic analysis results showed that anti-IL-17A mAb not only ameliorated skin lesions in psoriasis patients but also affected abnormal LCFAs metabolism. Furthermore, the study indicated a potential correlation between IL-17A and abnormal LCFA metabolism in psoriasis patients, which was supported by the alterations in serum LCFAs observed in IMQ-treated WT and Tcrd −/− mice.

Core-shell structured magnetic covalent-organic frameworks (Fe3O4@TaTp) were facilely synthesized based on one-step functionalization at room temperature and applied for magnetic solid-phase extraction of okadaic acid from seawater and shellfish prior to LC-MS/MS detection. Parameters, including adsorbent amount, extraction time, desorption solution, and desorption time which could affect the extraction efficiency, were respectively investigated. The developed methods demonstrated good linearity (R-2 0.99), acceptable accuracy and good precision (<15%), and low limit of detection (0.5 pg.mL(-1) for seawater and 0.04 mu g.kg(-1) for shellfish). The amount of the material used (1 mg for seawater and 5 mg for shellfish) and the time required (4 min for seawater and 15 min for shellfish) for extracting analyte from 5 mL of seawater and 2 g of shellfish are both greatly shortened compared with the previous reports. In addition, we successfully applied this method to real sample analysis.

Sensitive detection and accurate diagnosis/prognosis of glioma remain urgent challenges. Herein, dispersed magnetic covalent organic framework nanospheres (MCOF) with uniformed Fe3O4 nano-assembly as cores and high-crystalline COF as shells were prepared by monomer-mediated in-situ interface growth strategy. Based on the unique interaction between MCOF and hairpin DNA, a fluorescent signal amplified miRNA biosensor was constructed. It could realize the sensitive detection of miRNA-182 in different matrixes, where the detection limit, linearity range and determination coefficient (R-2) in real blood samples reached 20 fM, 0.1 pM-10 pM and 0.991, respectively. Also, it possessed good stability and precision as observed from the low intra-day/inter-day RSD and high extraction recovery. As a result, it could quantify miRNA-182 in serum of glioma patients, the concentration of which was significantly higher than that of healthy people and obviously decreased after surgery. Finally, a proof-of-concept capillary chip system using this biosensor was proposed to realize the visualized detection of miRNA-182 in microsample. These findings suggest a robust way for sensitive detection and accurate diagnosis/prognosis of glioma.

Psoriasis is a common chronic inflammatory skin disease which may exhibit a variety of skin clinical manifestations associated with multiple comorbidities. However, its pathogenesis associated with metabolism has not yet been understood. The metabolites of tricarboxylic acid (TCA) cycle and amino acids are interlinked with each other and involve many physiological processes. This study determined 32 metabolites of TCA cycle and amino acids in psoriasis using an improved GC-MS method. This one-pot derivatization applied silanization and oximation simultaneously for easy, quick and sensitive quantitative detection of 32 metabolites in serum of patients with psoriasis. Through the established GC-MS method, 32 metabolites in serum were detected in a single run. The result of this preliminary study showed that there were significant alterations of the metabolites in tricarboxylic acid (TCA) cycle and amino acids before and after treatment. A shift towards healthy controls of these metabolites after treatment was observed using principal component analysis (PCA) as well. Receiver operating-characteristic curve (ROC) analysis of the analyzed 32 metabolites filtered 5 potential biomarkers of the clinical efficacy of the treatment. This result suggested the importance of these metabolites in the pathogenesis of psoriasis. To our best know, this is the first targeted metabolomics work to study the changes of TCA cycle metabolites and amino acids in the background of treatment of psoriasis.

Lysophosphatidylcholine (LPC) was commonly known as a class of significant differential metabolites of high relevance with many diseases including psoriasis, of which the accurate determination is of great importance to diagnosis or prediction to many diseases. However, it is challenging and complicated because of the enormous biological sample complexity and impurities interference. In this study, we synthesized a magnetic nanocomposite MG@PD@TiO2 and took advantage of the interactions of Lewis acid base between the phosphate groups in LPCs and Ti ions on MG@PD@TiO2 nanomaterials for selective separation and enrichment of LPCs from complex biological matrix. The solid-phase extraction sample pretreatment process by means of MG@PD@TiO2 nanomaterials coupled with LC-MS/MS method was then applied to actual determination of six typical LPCs (LPC 10:0, 14:0, 16:0, 18:0, 18:1, 22:0) in human plasma. The extraction conditions were scientifically optimized by single-factor test (adsorbent amount, adsorption and desorption time, elution solvent type, eluant volume). Under the optimal conditions, the detection limits (LOD, S/N = 3) and quantification limits (LOQ, S/N = 10) were 1 and 5 ng/mL for LPC10: 0 and LPC 14:0, 0.02 and 0.1 ng/mL for LPC 16:0 and LPC 18:1, 0.05 and 0.2 ng/mL LPC 18:0 and LPC22: 0, respectively. The intra- and inter-day precisions were 3.82-12.60 % (n = 6) and 3.29-13.50 % (n = 6) respectively, the recoveries were in the range of 91.92-113.69 % and the stability of the analytes in the matrix performed well with RSDs <= 15.51 %. Finally, the developed method was successfully applied to the accurate determination of six LPCs biomarkers of plasma in patients with psoriasis (n = 10) and control groups (n = 10). (C) 2021 Elsevier B.V. All rights reserved.

Background Psoriasis is a common chronic inflammatory skin disease associated with overproduction of interleukin-17A (IL-17A). IL-17A monoclonal antibodies (mAbs) have shown clinical efficacy in psoriasis patients. Although a series of different overlapping mechanisms have been found to establish a link between psoriasis and cardiovascular diseases, the underlying mechanisms of the two types of diseases and the potential efficacy of IL-17A mAbs in amelioration of cardiovascular comorbidities remain unclear. Methods Serum samples from two study cohorts including 117 individuals were analyzed using a high-throughput UHPLC-MS platform. Non-targeted metabolic profiling analysis was first conducted with samples from 28 healthy individuals and from 28 psoriasis patients before and after 12-weeks of ixekizumab treatment in study cohort 1. Study cohort 2 was additionally recruited to validate the correlations of the identified metabolites with cardiovascular diseases. Results A total of 43 differential metabolites, including lysophospholipids, free fatty acids, acylcarnitines and dicarboxylic acids, were accurately identified in study cohort 1, and the analysis showed that lipid metabolism was impaired in psoriasis patients. Compared with healthy individuals, psoriasis patients had higher levels of lysophosphatidylcholines, lysophosphatidylinositols, lysophosphatidic acids and free fatty acids, but lower levels of acylcarnitines and dicarboxylic acids. The identified dicarboxylic acid levels were inversely correlated with psoriasis area and severity index (PASI) scores ( P < 0.05). The results for study cohort 2 were largely consistent with the results for study cohort 1. Moreover, the levels of all identified lysophosphatidylcholines were higher in psoriasis patients with coronary heart diseases than in psoriasis without coronary heart disease. Notably, most of these lipidic changes were ameliorated by ixekizumab treatment. Conclusion The results of this non-targeted metabolomic analysis indicate that treatment with IL-17A mAbs can not only ameliorate psoriasis lesions but also restore dysregulated lipid metabolism to normal levels in psoriasis patients. Considering that dysregulated lipid metabolism has been regarded as the critical factor in cardiovascular diseases, the recovery of lipid metabolites in psoriasis patients indicates that IL-17A mAbs might have the potential protective effects against cardiovascular comorbidities.

Tricarboxylic acid cycle is an important pathway and the metabolites of tricarboxylic acid cycle, simple organic acids, play important roles in many physiological processes. The new conditions of high performance liquid chromatography (HPLC) with improved separation selectivity were developed and optimized by choosing suitable store solvent, methanol, which can catalyze the reaction, aldol condensation, and facilitate the formation of new compound to improve simultaneous detection of nine metabolites of tricarboxylic acid cycle, including lactic acid, pyruvic acid, citric acid, alpha-ketoglutaric acid, malic acid, succinic acid, cis-aconitic acid, itaconic acid, and fumaric acid, and be applied in analysis of the nine metabolites in psoriasis mice skin. This study shows that in process of developing methods, expect conventional chromatographic condition, solvent should also be considered carefully.

目的探讨皮肤T细胞淋巴瘤（cutaneous T-cell lymphoma,CTCL）异种移植小鼠血浆和皮肤组织代谢组的变化,寻找与其相关的差异代谢物。方法将21只Balb/c雌性裸鼠分为实验组和对照组,利用HH细胞（T细胞淋巴瘤ATCC CRL-2105）造模,基于GC/MS对CTCL荷瘤鼠的血浆和肿瘤组织样品进行代谢组学分析。结果共有62种差异代谢物,其中13种在血浆和组织样品中均有出现,结合课题组之前基于LC/MS的CTCL荷瘤鼠血浆和肿瘤组织的代谢组学的研究结果,有9种差异代谢物在GC/MS和LC/MS分析方法中同时出现。血浆中支链氨基酸和葡萄糖升高,血浆和肿瘤组织中3-磷酸甘油升高,血浆中鞘氨醇-1-磷酸盐降解的o-磷酸乙醇胺升高。结论 62种差异代谢物可以提高对CTCL代谢物及其相关通路的认识,有助于CTCL的临床诊断。

针对药学专业学生的仪器分析实验课进行了教学改革.探索了以学生为中心的互动教学模式.以pH计使用和缓冲溶液测定为例, 设计实验的时候多留几个未知, 多让学生去思考, 从中体会到: 这种多留问题少给答案的教学方式不仅能有效提升学生的学习兴趣、融会贯通所学知识, 同时也加强、锻炼和培养了学生发现问题解决问题的能力.

为实现创新性药学人才的培养目标,在仪器分析实验课程教学体系中增加综合性、设计性实验项目.运用虚拟教学和启发式教学手段,内容紧贴科研和实际应用.按科研训练的思路实施实验教学,使学生在教学中获得科研项目经验,促进了学生创新和实践能力的培养.

目的 基于“以学为中心”的教学理念,对分析化学课程进行教学探索,逐步培养学生科学的思维方式.方法 指导学生分小组进行文献查阅和讨论,拿出实验方案;之后进行大组汇报和交流,不断完善实验方案;然后再进入小组进行方案的实施,及时总结并引入网上提交作业等新的学生更乐于采纳的形式,将以往学生按照实验讲义进行实验操作的传统模式,改为学生自主设计并完成实验的新模式.结果 学生积极参与,学习活跃度增加,在实验方案设计和讨论中还培养了学生团队合作精神.结论 “以学为中心”的教学更加能激发学生学习的主动性,有益于加深对分析化学课程中知识点的理解和融会贯通,为临床药学等后续课程的学习作铺垫.

Precise determination of the endogenous catecholamines, dopamine (DA), epinephrine (E) and norepinephrine (NE) faces substantial challenges due to their low physiological concentrations in plasma. We synthesized, for the first time, a magnetic metal-organic framework (MIL-100) composite with boronic acid-functionalized pore-walls (denoted as MG@MIL-100-B composite) using a metal-ligand-fragment coassembly (MLFC) strategy. The composites were then applied as an effective magnetic solid-phase extraction (SPE) sorbent for determination of trace catecholamine concentrations in rat plasma through coupling with HPLC-MS/MS. The obtained nano-composites exhibited high magnetic responsivity, uniform mesopores, large specific surface area, and boronic acid-functionalized inner pore-walls. Catecholamines in rat plasma were extracted through interaction between the cis-diol structures and the boronic acid groups in the MG@MIL-100-B composites. Extraction conditions were optimized by studying SPE parameters including adsorption and desorption time, elution solvent type, pH conditions and adsorbent amount. With our approach, the detection limits (S/N = 3) were as low as 0.005 ng mL(-1) for DA and E, and 0.02 ng mL(-1) for NE. Intra- and inter-day precision ranged from 2.84-6.63% (n = 6) and 5.70-11.44% (n = 6), respectively. Recoveries from spiking experiments also showed satisfactory results of 94.40-109.51%. Finally, the MG@MIL-100-B composites were applied successfully to determine catecholamine concentrations in rat plasma.

Amino-acid metabolism plays a vital role in mammalian target of rapamycin (mTOR) signaling, which is the pivot in colorectal cancer (CRC). Upregulated chaperone-mediated autophagy (CMA) activity contributes to the regulation of metabolism in cancer cells. Previously, we found that sorting nexin 10 (SNX10) is a critical regulator in CMA activation. Here we investigated the role of SNX10 in regulating amino-acid metabolism and mTOR signaling pathway activation, as well as the impact on the tumor progression of mouse CRC. Our results showed that SNX10 deficiency promoted colorectal tumorigenesis in male FVB mice and CRC cell proliferation and survival. Metabolic pathway analysis of gas chromatography-mass spectrometry (GC-MS) data revealed unique changes of amino-acid metabolism by SNX10 deficiency. In HCT116 cells, SNX10 knockout resulted in the increase of CMA and mTOR activation, which could be abolished by chloroquine treatment or reversed by SNX10 overexpression. By small RNA interference (siRNA), we found that the activation of mTOR was dependent on lysosomal-associated membrane protein type-2A (LAMP-2A), which is a limiting factor of CMA. Similar results were also found in Caco-2 and SW480 cells. Ultra-high-performance liquid chromatography-quadrupole time of flight (UHPLC-QTOF) and GC-MS-based untargeted metabolomics revealed that 10 amino-acid metabolism in SNX10-deficient cells were significantly upregulated, which could be restored by LAMP-2A siRNA. All of these amino acids were previously reported to be involved in mTOR activation. In conclusion, this work revealed that SNX10 controls mTOR activation through regulating CMA-dependent amino-acid metabolism, which provides potential target and strategy for treating CRC.

Cutaneous T-cell lymphoma (CTCL) is a class of non-Hodgkin lymphoma with a difficult early diagnosis. The overall annual age-adjusted incidence of CTCL had consistently increased to around 10.2 cases per million persons. However, our knowledge regarding its mechanism of disease origin and progression remains unclear. In this study, serum samples from 31 CTCL patients and 31 matched healthy volunteers were analyzed in depth to screen metabolites capable of differentiating CTCL from controls. To obtain a higher coverage of metabolome with various hydrophilicity, a multiplatform approach with GC-MS and UHPLC-QTOF-MS has been employed. Data were analyzed by multivariate statistical analysis and CTCL group was separated from control group successfully using supervised OPLS-DA model. A total of 51 CTCL-regulated metabolites were identified, among which 15 differential metabolites have an AUC > 0.9 in receiver operating characteristic (ROC) curve analysis. Glycerophospholipid metabolism, tryptophan metabolism and purine metabolism were highlighted as 3 major altered pathways in CTCL serum. These alterations revealed impacts to membrane stability and weakened immune as well as ATP depletion associated with CTCL. Overall, these results aid in improving understanding of the mechanism related to CTCL, and demonstrate this multiplatform approach is suitable for serum metabolomics researches.

Cutaneous T-cell lymphoma (CTCL) is a heterogeneous group of skin-homing T-cell neoplasms. Clinical management is stage based but diagnosis and prognosis could be extremely challenging. The presented study aims to explore the metabolic profiling of CTCL by an accelerated untargeted metabolomics data analysis tool "Mummichog" to facilitate the discoveries of potential biomarkers for clinical early stage diagnosis, prognosis, and treatments in CTCL. Ultra high-performance liquid chromatography-quadrupole time-of-flight-based untargeted metabolomics were conducted on the skin and plasma of CTCL mice. It showed that the metabolism of skin changed greatly versus control samples in the development of CTCL. Increased l-glutamate and decreased adenosine monophosphate were the most essential metabolic features of CTCL tumor and tumor adjacent skins. Unique metabolism changes in tumor adjacent non-involved skin tissues (ANIT) occurred in the progress of carcinogenesis, including upregulated cytidine-5'-triphosphate, aberrant biosynthesis of prostaglandins, pyrimidine, mevalonate pathway, and tryptophan degradation. Sharply elevated 5-phospho-α-d-ribose 1-diphosphate (PRPP) marked the final state of tumor in CTCL. In the plasma, systematic shifts in corticosterone, sphingolipid, and ceramide metabolism were found. These uncovered aberrant metabolites and metabolic pathways suggested that the metabolic reprogramming of PRPP in tumor tissues may cause the disturbance of cytidine and uridine metabolic homeostasis in ANIT. Accumulative cytidine-5'-triphosphate in ANIT may exert positive feedback on the PRPP level and leads to CTCL further development. In addition, the accelerated data analysis tool "Mummichog" showed good practicability and can be widely used in high-resolution liquid chromatography mass spectrometry-based untargeted metabolomics.

The Journal of DermatologyVolume 44, Issue 12 p. e317-e318 Letter to the Editor Novel heterozygous mutation of protoporphyrinogen oxidase gene in a Chinese patient with variegate porphyria Shengru Zhou, Shengru Zhou orcid.org/0000-0001-6761-1584 Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorXiaoqing Zhao, Xiaoqing Zhao Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorHongyan Kang, Hongyan Kang School of Pharmacy, Fudan University, Shanghai, ChinaSearch for more papers by this authorRenchao Xu, Renchao Xu Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorYunqiu Yu, Yunqiu Yu School of Pharmacy, Fudan University, Shanghai, ChinaSearch for more papers by this authorJie Zheng, Jie Zheng Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorMeng Pan, Corresponding Author Meng Pan panmeng@medmail.com.cn Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaCorrespondence: Meng Pan, M.D., Ph.D., Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, 197 Rui Jin Er Road, Shanghai 200025, China. Email: panmeng@medmail.com.cnSearch for more papers by this author Shengru Zhou, Shengru Zhou orcid.org/0000-0001-6761-1584 Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorXiaoqing Zhao, Xiaoqing Zhao Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorHongyan Kang, Hongyan Kang School of Pharmacy, Fudan University, Shanghai, ChinaSearch for more papers by this authorRenchao Xu, Renchao Xu Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorYunqiu Yu, Yunqiu Yu School of Pharmacy, Fudan University, Shanghai, ChinaSearch for more papers by this authorJie Zheng, Jie Zheng Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaSearch for more papers by this authorMeng Pan, Corresponding Author Meng Pan panmeng@medmail.com.cn Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaCorrespondence: Meng Pan, M.D., Ph.D., Department of Dermatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, 197 Rui Jin Er Road, Shanghai 200025, China. Email: panmeng@medmail.com.cnSearch for more papers by this author First published: 22 July 2017 https://doi.org/10.1111/1346-8138.13982Citations: 2Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article.Citing Literature Volume44, Issue12December 2017Pages e317-e318 RelatedInformation

Phenanthrene (Phe) is one of the most abundant Polycyclic aromatic hydrocarbons (PAHs) contamination from various ambient sources, which has a tremendous impact on public health. However, our knowledge regarding its effects on skin remains limited. In this study, we investigated the metabolite profiling of the human keratinocytes HaCaT cells after Phe exposure to understand the toxic effects of Phe exposure on skin. To obtain a broad picture of metabolome with various hydrophilicity, a cross-platform approach with GC-MS and UHPLC-QTOF-MS has been employed. Data were analyzed by multivariate statistical analysis and samples were separated successfully using supervised PLS-DA models. It was shown that the impacts of Phe exposure on HaCaT cells were both dose-related and time-related. A total of 48 Phe-regulated metabolites were identified and among which 19 were confirmed by reference standards. By pathway analysis, amino acid metabolism, glutathione metabolism and glycerophospholipid metabolism were highlighted as the major metabolic pathways disturbed by Phe. Furthermore, it was found that the mechanisms included a reduced amino pool and a reduced antioxidant status. Overall, these results aid in improving understanding of the dermal toxicology related to Phe, and demonstrate this cross-platform approach is suitable for metabolomics researches on HaCaT cells.

目的 建立液相色谱-质谱联用(liquid chromatography-tandem mass spectrum,LC-MS)方法测定血浆中罗库溴铵浓度,并对静脉注射0.9 mg/kg该药物的患者2h内的血药浓度进行测定.方法 血浆中加入内标盐酸维拉帕米后用乙腈沉淀蛋白法进行处理,离心后取上清进样.选用Atlantis T3(4.6 mm×150mm,5μm)色谱柱分离,流动相为乙腈-甲酸铵(60∶40,5 mmol/L,pH=5.5),流速1 mL/min,柱后三通分流,0.2 mL/min流量进入质谱.质谱采用电喷雾(electrospray ionization,ESI)接口,选用正离子模式,检测方式为选择性离子监测(selected ion monitor,SIM)模式.结果 罗库溴铵在0.1～10 μg/mL范围内呈良好的线性关系,精密度及稳定性均符合生物样本测定要求.结论 LC-MS是一种简单、快速、准确测定罗库溴铵血药浓度的方法,并成功应用于静注2h内临床样本的测定.

BACKGROUND:Recent studies have shown that dysregulated metabolic pathways are linked to psoriasis pathogenesis. However, an extensive, unbiased metabolic analysis in patients with psoriasis has not been completely explored. The metabolome represents the end products of proteomics or cellular processes that may be closely associated with the pathogenesis of psoriasis.OBJECTIVES:To determine the differences in serum metabolomic profiles among patients with psoriasis and healthy controls with the goal of identifying potential biomarkers in patients with psoriasis.MATERIALS AND METHODS:Serum metabolomic profiles from 29 subjects (14 patients with psoriasis and 15 sex- and age-matched healthy controls). The serum metabolites were analysed by gas chromatography-mass spectrometry based on a combined full scan and selected-ion monitoring mode.RESULTS:Multivariate statistical analysis of metabolomics data revealed altered serum metabolites between the patients with psoriasis and healthy individuals. Compared with healthy individuals, patients with psoriasis had higher levels of amino acids including asparagine, aspartic acid, isoleucine, phenylalanine, ornithine and proline; higher levels of lactic acid and urea; and lower levels of crotonic acid, azelaic acid, ethanolamine and cholesterol.CONCLUSIONS:It appears that the glycolysis pathway and amino acid metabolic activity are increased in patients with psoriasis. These metabolic perturbations may stem from increased demand for protein biosynthesis and keratinocyte hyperproliferation. Our findings may help to elucidate the pathogenesis of psoriasis and provide insights into early diagnosis and therapeutic intervention.