Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis
Lipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of...
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Veröffentlicht in: | Biochimica et biophysica acta. Molecular and cell biology of lipids 2021-02, Vol.1866 (2), p.158853-158853, Article 158853 |
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container_title | Biochimica et biophysica acta. Molecular and cell biology of lipids |
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creator | Jiang, Tianci Dai, Lingling Li, Pengfei Zhao, Junwei Wang, Xi An, Lin Liu, Meng Wu, Shujun Wang, Yu Peng, Youmei Sun, Di Zheng, Caopei Wang, Tingting Wen, Xuejun Cheng, Zhe |
description | Lipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of lipid metabolism in asthmatic patients by lipidomics.
We characterized the plasma lipid profile of 28 healthy controls and 33 outpatients with asthma (18 mild, 15 moderate) by liquid chromatography mass spectrometry/mass spectrometry-based lipidomics.
We determined 1338 individual lipid species in the plasma. Significant changes were identified in ten lipid species in asthmatic patients than in healthy controls (all P |
doi_str_mv | 10.1016/j.bbalip.2020.158853 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_pubmed_primary_33160078</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1388198120302456</els_id><sourcerecordid>2458722344</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-102840f29e743ad93d4f83c4198dd04d792f0de2a7ada1876564be9a6474008c3</originalsourceid><addsrcrecordid>eNp9kE1LxDAQhoMorq7-A5EcvXTNV9v0Ioj4BQsi6DmkyRRnbZu16Qr7783S1aOnGYb3nZn3IeSCswVnvLheLeratrheCCbSKNc6lwfkhOuyykTB9WHqpdYZrzSfkdMYV4zxXMr8mMyk5AVjpT4hr0tco6cdjLYOLcaO2t5T9NCP2KCzI4aehobWGDo7fMIQKfbUxvGjs7Te0nZnDx265LPtNmI8I0eNbSOc7-ucvD_cv909ZcuXx-e722XmFNNjxpnQijWiglJJ6yvpVaOlU-ld75nyZSUa5kHY0nqbQhV5oWqobKFKxZh2ck6upr3rIXxtII6mw-igbW0PYRONULkuhZBKJamapG4IMQ7QmPWAKc7WcGZ2MM3KTDDNDqaZYCbb5f7Cpu7A_5l-6SXBzSSAlPMbYTDRIfQOPA7gRuMD_n_hB7FohvM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2458722344</pqid></control><display><type>article</type><title>Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Jiang, Tianci ; Dai, Lingling ; Li, Pengfei ; Zhao, Junwei ; Wang, Xi ; An, Lin ; Liu, Meng ; Wu, Shujun ; Wang, Yu ; Peng, Youmei ; Sun, Di ; Zheng, Caopei ; Wang, Tingting ; Wen, Xuejun ; Cheng, Zhe</creator><creatorcontrib>Jiang, Tianci ; Dai, Lingling ; Li, Pengfei ; Zhao, Junwei ; Wang, Xi ; An, Lin ; Liu, Meng ; Wu, Shujun ; Wang, Yu ; Peng, Youmei ; Sun, Di ; Zheng, Caopei ; Wang, Tingting ; Wen, Xuejun ; Cheng, Zhe</creatorcontrib><description>Lipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of lipid metabolism in asthmatic patients by lipidomics.
We characterized the plasma lipid profile of 28 healthy controls and 33 outpatients with asthma (18 mild, 15 moderate) by liquid chromatography mass spectrometry/mass spectrometry-based lipidomics.
We determined 1338 individual lipid species in the plasma. Significant changes were identified in ten lipid species in asthmatic patients than in healthy controls (all P < 0.05). Phosphatidylethanolamine (PE) (18:1p/22:6), PE (20:0/18:1), PE (38:1), sphingomyelin (SM) (d18:1/18:1), and triglyceride (TG) (16:0/16:0/18:1) positively correlated with the severity of asthma (all P < 0.05). Phosphatidylinositol (PI) (16:0/20:4), TG (17:0/18:1/18:1), phosphatidylglycerol (PG) (44:0), ceramide (Cer) (d16:0/27:2), and lysophosphatidylcholine (LPC) (22:4) negatively correlated with the severity of asthma (all P < 0.05). Correlation analysis showed a significant correlation between all ten lipid species (all P < 0.05). From the area under the curve of the receiver operating characteristic curve analysis, PE (38:1) was the major lipid metabolite that distinguished asthmatic patients from healthy controls, and may be considered a potential lipid biomarker. PE (20:0/18:1) and TG (16:0/16:0/18:1) might be related to IgE levels in asthmatic patients.
Our results indicated the presence of abnormal lipid metabolism, which correlated with the severity and IgE levels in asthmatic patients.
[Display omitted]
•Differences of lipid metabolism exist between asthmatic patients and healthy controls•We first showed the differences of lipid metabolism correlated with severity and the levels of IgE in asthmatic patients•The regulation of lipid metabolism in asthma is complex which need further study</description><identifier>ISSN: 1388-1981</identifier><identifier>EISSN: 1879-2618</identifier><identifier>DOI: 10.1016/j.bbalip.2020.158853</identifier><identifier>PMID: 33160078</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Adolescent ; Adult ; Aged ; Asthma ; Asthma - blood ; Asthma - diagnosis ; Asthma - immunology ; Asthma - metabolism ; Biomarkers ; Biomarkers - blood ; Biomarkers - metabolism ; Case-Control Studies ; Chromatography, High Pressure Liquid - methods ; Female ; Healthy Volunteers ; Humans ; Immunoglobulin E - blood ; Immunoglobulin E - immunology ; Lipid Metabolism ; Lipidomics ; Lipidomics - methods ; Lipids - blood ; Male ; Middle Aged ; Severity of Illness Index ; Tandem Mass Spectrometry - methods ; Young Adult</subject><ispartof>Biochimica et biophysica acta. Molecular and cell biology of lipids, 2021-02, Vol.1866 (2), p.158853-158853, Article 158853</ispartof><rights>2020</rights><rights>Copyright © 2020. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-102840f29e743ad93d4f83c4198dd04d792f0de2a7ada1876564be9a6474008c3</citedby><cites>FETCH-LOGICAL-c408t-102840f29e743ad93d4f83c4198dd04d792f0de2a7ada1876564be9a6474008c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.bbalip.2020.158853$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33160078$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Tianci</creatorcontrib><creatorcontrib>Dai, Lingling</creatorcontrib><creatorcontrib>Li, Pengfei</creatorcontrib><creatorcontrib>Zhao, Junwei</creatorcontrib><creatorcontrib>Wang, Xi</creatorcontrib><creatorcontrib>An, Lin</creatorcontrib><creatorcontrib>Liu, Meng</creatorcontrib><creatorcontrib>Wu, Shujun</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Peng, Youmei</creatorcontrib><creatorcontrib>Sun, Di</creatorcontrib><creatorcontrib>Zheng, Caopei</creatorcontrib><creatorcontrib>Wang, Tingting</creatorcontrib><creatorcontrib>Wen, Xuejun</creatorcontrib><creatorcontrib>Cheng, Zhe</creatorcontrib><title>Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis</title><title>Biochimica et biophysica acta. Molecular and cell biology of lipids</title><addtitle>Biochim Biophys Acta Mol Cell Biol Lipids</addtitle><description>Lipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of lipid metabolism in asthmatic patients by lipidomics.
We characterized the plasma lipid profile of 28 healthy controls and 33 outpatients with asthma (18 mild, 15 moderate) by liquid chromatography mass spectrometry/mass spectrometry-based lipidomics.
We determined 1338 individual lipid species in the plasma. Significant changes were identified in ten lipid species in asthmatic patients than in healthy controls (all P < 0.05). Phosphatidylethanolamine (PE) (18:1p/22:6), PE (20:0/18:1), PE (38:1), sphingomyelin (SM) (d18:1/18:1), and triglyceride (TG) (16:0/16:0/18:1) positively correlated with the severity of asthma (all P < 0.05). Phosphatidylinositol (PI) (16:0/20:4), TG (17:0/18:1/18:1), phosphatidylglycerol (PG) (44:0), ceramide (Cer) (d16:0/27:2), and lysophosphatidylcholine (LPC) (22:4) negatively correlated with the severity of asthma (all P < 0.05). Correlation analysis showed a significant correlation between all ten lipid species (all P < 0.05). From the area under the curve of the receiver operating characteristic curve analysis, PE (38:1) was the major lipid metabolite that distinguished asthmatic patients from healthy controls, and may be considered a potential lipid biomarker. PE (20:0/18:1) and TG (16:0/16:0/18:1) might be related to IgE levels in asthmatic patients.
Our results indicated the presence of abnormal lipid metabolism, which correlated with the severity and IgE levels in asthmatic patients.
[Display omitted]
•Differences of lipid metabolism exist between asthmatic patients and healthy controls•We first showed the differences of lipid metabolism correlated with severity and the levels of IgE in asthmatic patients•The regulation of lipid metabolism in asthma is complex which need further study</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Asthma</subject><subject>Asthma - blood</subject><subject>Asthma - diagnosis</subject><subject>Asthma - immunology</subject><subject>Asthma - metabolism</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - metabolism</subject><subject>Case-Control Studies</subject><subject>Chromatography, High Pressure Liquid - methods</subject><subject>Female</subject><subject>Healthy Volunteers</subject><subject>Humans</subject><subject>Immunoglobulin E - blood</subject><subject>Immunoglobulin E - immunology</subject><subject>Lipid Metabolism</subject><subject>Lipidomics</subject><subject>Lipidomics - methods</subject><subject>Lipids - blood</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Severity of Illness Index</subject><subject>Tandem Mass Spectrometry - methods</subject><subject>Young Adult</subject><issn>1388-1981</issn><issn>1879-2618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LxDAQhoMorq7-A5EcvXTNV9v0Ioj4BQsi6DmkyRRnbZu16Qr7783S1aOnGYb3nZn3IeSCswVnvLheLeratrheCCbSKNc6lwfkhOuyykTB9WHqpdYZrzSfkdMYV4zxXMr8mMyk5AVjpT4hr0tco6cdjLYOLcaO2t5T9NCP2KCzI4aehobWGDo7fMIQKfbUxvGjs7Te0nZnDx265LPtNmI8I0eNbSOc7-ucvD_cv909ZcuXx-e722XmFNNjxpnQijWiglJJ6yvpVaOlU-ld75nyZSUa5kHY0nqbQhV5oWqobKFKxZh2ck6upr3rIXxtII6mw-igbW0PYRONULkuhZBKJamapG4IMQ7QmPWAKc7WcGZ2MM3KTDDNDqaZYCbb5f7Cpu7A_5l-6SXBzSSAlPMbYTDRIfQOPA7gRuMD_n_hB7FohvM</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Jiang, Tianci</creator><creator>Dai, Lingling</creator><creator>Li, Pengfei</creator><creator>Zhao, Junwei</creator><creator>Wang, Xi</creator><creator>An, Lin</creator><creator>Liu, Meng</creator><creator>Wu, Shujun</creator><creator>Wang, Yu</creator><creator>Peng, Youmei</creator><creator>Sun, Di</creator><creator>Zheng, Caopei</creator><creator>Wang, Tingting</creator><creator>Wen, Xuejun</creator><creator>Cheng, Zhe</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202102</creationdate><title>Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis</title><author>Jiang, Tianci ; Dai, Lingling ; Li, Pengfei ; Zhao, Junwei ; Wang, Xi ; An, Lin ; Liu, Meng ; Wu, Shujun ; Wang, Yu ; Peng, Youmei ; Sun, Di ; Zheng, Caopei ; Wang, Tingting ; Wen, Xuejun ; Cheng, Zhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-102840f29e743ad93d4f83c4198dd04d792f0de2a7ada1876564be9a6474008c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Asthma</topic><topic>Asthma - blood</topic><topic>Asthma - diagnosis</topic><topic>Asthma - immunology</topic><topic>Asthma - metabolism</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - metabolism</topic><topic>Case-Control Studies</topic><topic>Chromatography, High Pressure Liquid - methods</topic><topic>Female</topic><topic>Healthy Volunteers</topic><topic>Humans</topic><topic>Immunoglobulin E - blood</topic><topic>Immunoglobulin E - immunology</topic><topic>Lipid Metabolism</topic><topic>Lipidomics</topic><topic>Lipidomics - methods</topic><topic>Lipids - blood</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Severity of Illness Index</topic><topic>Tandem Mass Spectrometry - methods</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Tianci</creatorcontrib><creatorcontrib>Dai, Lingling</creatorcontrib><creatorcontrib>Li, Pengfei</creatorcontrib><creatorcontrib>Zhao, Junwei</creatorcontrib><creatorcontrib>Wang, Xi</creatorcontrib><creatorcontrib>An, Lin</creatorcontrib><creatorcontrib>Liu, Meng</creatorcontrib><creatorcontrib>Wu, Shujun</creatorcontrib><creatorcontrib>Wang, Yu</creatorcontrib><creatorcontrib>Peng, Youmei</creatorcontrib><creatorcontrib>Sun, Di</creatorcontrib><creatorcontrib>Zheng, Caopei</creatorcontrib><creatorcontrib>Wang, Tingting</creatorcontrib><creatorcontrib>Wen, Xuejun</creatorcontrib><creatorcontrib>Cheng, Zhe</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biochimica et biophysica acta. Molecular and cell biology of lipids</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Tianci</au><au>Dai, Lingling</au><au>Li, Pengfei</au><au>Zhao, Junwei</au><au>Wang, Xi</au><au>An, Lin</au><au>Liu, Meng</au><au>Wu, Shujun</au><au>Wang, Yu</au><au>Peng, Youmei</au><au>Sun, Di</au><au>Zheng, Caopei</au><au>Wang, Tingting</au><au>Wen, Xuejun</au><au>Cheng, Zhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis</atitle><jtitle>Biochimica et biophysica acta. Molecular and cell biology of lipids</jtitle><addtitle>Biochim Biophys Acta Mol Cell Biol Lipids</addtitle><date>2021-02</date><risdate>2021</risdate><volume>1866</volume><issue>2</issue><spage>158853</spage><epage>158853</epage><pages>158853-158853</pages><artnum>158853</artnum><issn>1388-1981</issn><eissn>1879-2618</eissn><abstract>Lipids participate in many important biological functions through energy storage, material transport, signal transduction, and molecular recognition processes. Studies have reported that asthmatic patients have abnormal lipid metabolism. However, there are limited studies on the characterization of lipid metabolism in asthmatic patients by lipidomics.
We characterized the plasma lipid profile of 28 healthy controls and 33 outpatients with asthma (18 mild, 15 moderate) by liquid chromatography mass spectrometry/mass spectrometry-based lipidomics.
We determined 1338 individual lipid species in the plasma. Significant changes were identified in ten lipid species in asthmatic patients than in healthy controls (all P < 0.05). Phosphatidylethanolamine (PE) (18:1p/22:6), PE (20:0/18:1), PE (38:1), sphingomyelin (SM) (d18:1/18:1), and triglyceride (TG) (16:0/16:0/18:1) positively correlated with the severity of asthma (all P < 0.05). Phosphatidylinositol (PI) (16:0/20:4), TG (17:0/18:1/18:1), phosphatidylglycerol (PG) (44:0), ceramide (Cer) (d16:0/27:2), and lysophosphatidylcholine (LPC) (22:4) negatively correlated with the severity of asthma (all P < 0.05). Correlation analysis showed a significant correlation between all ten lipid species (all P < 0.05). From the area under the curve of the receiver operating characteristic curve analysis, PE (38:1) was the major lipid metabolite that distinguished asthmatic patients from healthy controls, and may be considered a potential lipid biomarker. PE (20:0/18:1) and TG (16:0/16:0/18:1) might be related to IgE levels in asthmatic patients.
Our results indicated the presence of abnormal lipid metabolism, which correlated with the severity and IgE levels in asthmatic patients.
[Display omitted]
•Differences of lipid metabolism exist between asthmatic patients and healthy controls•We first showed the differences of lipid metabolism correlated with severity and the levels of IgE in asthmatic patients•The regulation of lipid metabolism in asthma is complex which need further study</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>33160078</pmid><doi>10.1016/j.bbalip.2020.158853</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Asthma Asthma - blood Asthma - diagnosis Asthma - immunology Asthma - metabolism Biomarkers Biomarkers - blood Biomarkers - metabolism Case-Control Studies Chromatography, High Pressure Liquid - methods Female Healthy Volunteers Humans Immunoglobulin E - blood Immunoglobulin E - immunology Lipid Metabolism Lipidomics Lipidomics - methods Lipids - blood Male Middle Aged Severity of Illness Index Tandem Mass Spectrometry - methods Young Adult |
title | Lipid metabolism and identification of biomarkers in asthma by lipidomic analysis |
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