Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus
To identify potential lipid biomarkers by studying changes in the blood lipid profile of patients with systemic lupus erythematosus (SLE) using lipidomics. Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultra...
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| Veröffentlicht in: | Clinical and experimental rheumatology 2022-05, Vol.40 (5), p.1011-1018 |
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| creator | Wang, Yingzhuo Guo, Feng Guo, Yunke Lu, Yan Ji, Wei Lin, Lili Chen, Wenjun Xu, Tingting Kong, Deshun Shen, Qiuxiang Zhu, Youjuan Liu, Ping Su, Jinfeng Wang, Lu Li, Yuhua Gao, Pan Shan, Jinjun Liu, Shijia |
| description | To identify potential lipid biomarkers by studying changes in the blood lipid profile of patients with systemic lupus erythematosus (SLE) using lipidomics.
Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultrahigh-performance liquid chromatography coupled with Q Exactive spectrometry, and possible lipid biomarkers were screened and evaluated by univariate and multivariate analyses.
Metabolic phenotypes related to SLE disease activity index (SLEDAI) scores were detected in the serum of SLE patients, and these phenotypes indicated the activity of the disease. Alterations in energy metabolism, fatty acid metabolism and other pathways were observed in patients with SLE. Phosphatidylethanolamine (16:0/18:2), lysophosphatidylethanolamine (18:0), and acylcarnitine (11:0) can be used as biomarkers for the clinical diagnosis of SLE, and receiver operating characteristic (ROC) analysis indicated their effectiveness in diagnosing this disease.
Our study identified serum biomarkers related to disease activity in patients with SLE, providing a basis for its clinical diagnosis. |
| doi_str_mv | 10.55563/clinexprheumatol/ye2ua5 |
| format | Article |
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Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultrahigh-performance liquid chromatography coupled with Q Exactive spectrometry, and possible lipid biomarkers were screened and evaluated by univariate and multivariate analyses.
Metabolic phenotypes related to SLE disease activity index (SLEDAI) scores were detected in the serum of SLE patients, and these phenotypes indicated the activity of the disease. Alterations in energy metabolism, fatty acid metabolism and other pathways were observed in patients with SLE. Phosphatidylethanolamine (16:0/18:2), lysophosphatidylethanolamine (18:0), and acylcarnitine (11:0) can be used as biomarkers for the clinical diagnosis of SLE, and receiver operating characteristic (ROC) analysis indicated their effectiveness in diagnosing this disease.
Our study identified serum biomarkers related to disease activity in patients with SLE, providing a basis for its clinical diagnosis.</description><identifier>ISSN: 0392-856X</identifier><identifier>ISSN: 1593-098X</identifier><identifier>EISSN: 1593-098X</identifier><identifier>DOI: 10.55563/clinexprheumatol/ye2ua5</identifier><identifier>PMID: 34251324</identifier><language>eng</language><publisher>Italy</publisher><ispartof>Clinical and experimental rheumatology, 2022-05, Vol.40 (5), p.1011-1018</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c230t-fc07fc6e9389b7a745416945c32a7d57b46ea9528d9e47ce7a648d6aa55713513</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34251324$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Yingzhuo</creatorcontrib><creatorcontrib>Guo, Feng</creatorcontrib><creatorcontrib>Guo, Yunke</creatorcontrib><creatorcontrib>Lu, Yan</creatorcontrib><creatorcontrib>Ji, Wei</creatorcontrib><creatorcontrib>Lin, Lili</creatorcontrib><creatorcontrib>Chen, Wenjun</creatorcontrib><creatorcontrib>Xu, Tingting</creatorcontrib><creatorcontrib>Kong, Deshun</creatorcontrib><creatorcontrib>Shen, Qiuxiang</creatorcontrib><creatorcontrib>Zhu, Youjuan</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Su, Jinfeng</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Li, Yuhua</creatorcontrib><creatorcontrib>Gao, Pan</creatorcontrib><creatorcontrib>Shan, Jinjun</creatorcontrib><creatorcontrib>Liu, Shijia</creatorcontrib><title>Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus</title><title>Clinical and experimental rheumatology</title><addtitle>Clin Exp Rheumatol</addtitle><description>To identify potential lipid biomarkers by studying changes in the blood lipid profile of patients with systemic lupus erythematosus (SLE) using lipidomics.
Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultrahigh-performance liquid chromatography coupled with Q Exactive spectrometry, and possible lipid biomarkers were screened and evaluated by univariate and multivariate analyses.
Metabolic phenotypes related to SLE disease activity index (SLEDAI) scores were detected in the serum of SLE patients, and these phenotypes indicated the activity of the disease. Alterations in energy metabolism, fatty acid metabolism and other pathways were observed in patients with SLE. Phosphatidylethanolamine (16:0/18:2), lysophosphatidylethanolamine (18:0), and acylcarnitine (11:0) can be used as biomarkers for the clinical diagnosis of SLE, and receiver operating characteristic (ROC) analysis indicated their effectiveness in diagnosing this disease.
Our study identified serum biomarkers related to disease activity in patients with SLE, providing a basis for its clinical diagnosis.</description><issn>0392-856X</issn><issn>1593-098X</issn><issn>1593-098X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpdkDtPwzAQxy0EoqXwFVBGllDH9tnJiCpeUiUWKlUskeNcqFFe2DEi356UAgPTDf_H3f0IiRJ6DQCSL01tW_zs3Q5Do4euXo7IgoYjMk8g4zHN0u0xmVOesTgFuZ2RM-_fKGUSpDolMy4YJJyJOXnZtIN2rzhgGdW2t2XXWOMjhx-oax_5Ho2trDlokS7azjW6toNFH9k28qMfsNnroQ8-QjcOO9xf5IM_JyfV1IEXP3NBNne3z6uHeP10_7i6WceGcTrElaGqMhIznmaF0kqASGQmwHCmVQmqEBJ1BiwtMxTKoNJSpKXUGkAlfHpjQa4Ovb3r3gP6IW-sN1jXusUu-JwBUMkEMD5Z04PVuM57h1XeO9toN-YJzb_J5v_J5geyU_TyZ0soGiz_gr8o-Rffz35Y</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Wang, Yingzhuo</creator><creator>Guo, Feng</creator><creator>Guo, Yunke</creator><creator>Lu, Yan</creator><creator>Ji, Wei</creator><creator>Lin, Lili</creator><creator>Chen, Wenjun</creator><creator>Xu, Tingting</creator><creator>Kong, Deshun</creator><creator>Shen, Qiuxiang</creator><creator>Zhu, Youjuan</creator><creator>Liu, Ping</creator><creator>Su, Jinfeng</creator><creator>Wang, Lu</creator><creator>Li, Yuhua</creator><creator>Gao, Pan</creator><creator>Shan, Jinjun</creator><creator>Liu, Shijia</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20220501</creationdate><title>Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus</title><author>Wang, Yingzhuo ; Guo, Feng ; Guo, Yunke ; Lu, Yan ; Ji, Wei ; Lin, Lili ; Chen, Wenjun ; Xu, Tingting ; Kong, Deshun ; Shen, Qiuxiang ; Zhu, Youjuan ; Liu, Ping ; Su, Jinfeng ; Wang, Lu ; Li, Yuhua ; Gao, Pan ; Shan, Jinjun ; Liu, Shijia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c230t-fc07fc6e9389b7a745416945c32a7d57b46ea9528d9e47ce7a648d6aa55713513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yingzhuo</creatorcontrib><creatorcontrib>Guo, Feng</creatorcontrib><creatorcontrib>Guo, Yunke</creatorcontrib><creatorcontrib>Lu, Yan</creatorcontrib><creatorcontrib>Ji, Wei</creatorcontrib><creatorcontrib>Lin, Lili</creatorcontrib><creatorcontrib>Chen, Wenjun</creatorcontrib><creatorcontrib>Xu, Tingting</creatorcontrib><creatorcontrib>Kong, Deshun</creatorcontrib><creatorcontrib>Shen, Qiuxiang</creatorcontrib><creatorcontrib>Zhu, Youjuan</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Su, Jinfeng</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Li, Yuhua</creatorcontrib><creatorcontrib>Gao, Pan</creatorcontrib><creatorcontrib>Shan, Jinjun</creatorcontrib><creatorcontrib>Liu, Shijia</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical and experimental rheumatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yingzhuo</au><au>Guo, Feng</au><au>Guo, Yunke</au><au>Lu, Yan</au><au>Ji, Wei</au><au>Lin, Lili</au><au>Chen, Wenjun</au><au>Xu, Tingting</au><au>Kong, Deshun</au><au>Shen, Qiuxiang</au><au>Zhu, Youjuan</au><au>Liu, Ping</au><au>Su, Jinfeng</au><au>Wang, Lu</au><au>Li, Yuhua</au><au>Gao, Pan</au><au>Shan, Jinjun</au><au>Liu, Shijia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus</atitle><jtitle>Clinical and experimental rheumatology</jtitle><addtitle>Clin Exp Rheumatol</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>40</volume><issue>5</issue><spage>1011</spage><epage>1018</epage><pages>1011-1018</pages><issn>0392-856X</issn><issn>1593-098X</issn><eissn>1593-098X</eissn><abstract>To identify potential lipid biomarkers by studying changes in the blood lipid profile of patients with systemic lupus erythematosus (SLE) using lipidomics.
Serum samples were collected from 115 SLE patients and 115 age- and sex-matched healthy controls (HCs). Lipid profiles were assessed using ultrahigh-performance liquid chromatography coupled with Q Exactive spectrometry, and possible lipid biomarkers were screened and evaluated by univariate and multivariate analyses.
Metabolic phenotypes related to SLE disease activity index (SLEDAI) scores were detected in the serum of SLE patients, and these phenotypes indicated the activity of the disease. Alterations in energy metabolism, fatty acid metabolism and other pathways were observed in patients with SLE. Phosphatidylethanolamine (16:0/18:2), lysophosphatidylethanolamine (18:0), and acylcarnitine (11:0) can be used as biomarkers for the clinical diagnosis of SLE, and receiver operating characteristic (ROC) analysis indicated their effectiveness in diagnosing this disease.
Our study identified serum biomarkers related to disease activity in patients with SLE, providing a basis for its clinical diagnosis.</abstract><cop>Italy</cop><pmid>34251324</pmid><doi>10.55563/clinexprheumatol/ye2ua5</doi><tpages>8</tpages></addata></record> |
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| source | Alma/SFX Local Collection |
| title | Untargeted lipidomics reveals specific lipid abnormalities in systemic lupus erythematosus |
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