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一种用于分析银屑病患者血清脂质的固相微萃取-液相色谱-质谱法

A Solid-Phase Microextraction-Liquid Chromatography-Mass Spectrometry Method for Analyzing Serum Lipids in Psoriatic Disease.

作者信息

Koussiouris John, Looby Nikita, Kulasingam Vathany, Chandran Vinod

机构信息

Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, ON M5T 0S8, Canada.

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A8, Canada.

出版信息

Metabolites. 2023 Aug 20;13(8):963. doi: 10.3390/metabo13080963.

DOI:10.3390/metabo13080963
PMID:37623906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10456752/
Abstract

Approximately 25% of psoriasis patients have an inflammatory arthritis termed psoriatic arthritis (PsA). There is strong interest in identifying and validating biomarkers that can accurately and reliably predict conversion from psoriasis to PsA using novel technologies such as metabolomics. Lipids, in particular, are of key interest in psoriatic disease. We sought to develop a liquid chromatography-mass spectrometry (LC-MS) method to be used in conjunction with solid-phase microextraction (SPME) for analyzing fatty acids and similar molecules. A total of 25 chromatographic methods based on published lipid studies were tested on two LC columns. As a proof of concept, serum samples from psoriatic disease patients (n = 27 psoriasis and n = 26 PsA) were processed using SPME and run on the selected LC-MS method. The method that was best for analyzing fatty acids and fatty acid-like molecules was optimized and applied to serum samples. A total of 18 tentatively annotated features classified as fatty acids and other lipid compounds were statistically significant between psoriasis and PsA groups using both multivariate and univariate approaches. The SPME-LC-MS method developed and optimized was capable of detecting fatty acids and similar lipids that may aid in differentiating psoriasis and PsA patients.

摘要

约25%的银屑病患者患有一种名为银屑病关节炎(PsA)的炎性关节炎。人们对利用代谢组学等新技术识别和验证能够准确可靠地预测银屑病向PsA转化的生物标志物有着浓厚兴趣。脂质,尤其是银屑病相关疾病中备受关注的关键物质。我们试图开发一种液相色谱-质谱联用(LC-MS)方法,并结合固相微萃取(SPME)来分析脂肪酸和类似分子。基于已发表的脂质研究,共测试了25种色谱方法,并在两根液相色谱柱上进行。作为概念验证,对银屑病患者(27例银屑病患者和26例PsA患者)的血清样本采用SPME进行处理,并在所选择的LC-MS方法上运行。对最适合分析脂肪酸和类脂肪酸分子的方法进行优化,并应用于血清样本。使用多变量和单变量方法,共有18个初步注释为脂肪酸和其他脂质化合物的特征在银屑病组和PsA组之间具有统计学意义。所开发和优化的SPME-LC-MS方法能够检测可能有助于区分银屑病患者和PsA患者的脂肪酸和类似脂质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/dc7e2918fc76/metabolites-13-00963-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/ad78c2cf871b/metabolites-13-00963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/2e1941f3e856/metabolites-13-00963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/b3c144b3b9da/metabolites-13-00963-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/dc7e2918fc76/metabolites-13-00963-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/ad78c2cf871b/metabolites-13-00963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/2e1941f3e856/metabolites-13-00963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/b3c144b3b9da/metabolites-13-00963-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06b2/10456752/dc7e2918fc76/metabolites-13-00963-g004.jpg

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Targeted fatty acid metabolomics to discover Parkinson's disease associated metabolic alteration.靶向脂肪酸代谢组学发现帕金森病相关代谢改变。
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