Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model
Deep vein thrombosis (DVT) is a major health problem, responsible for significant morbidity and mortality. The identification of a simple and effective diagnostic biomarker of DVT remains a challenge. Metabolomics have recently emerged as a new powerful scientific tool to characterise metabolic phen...
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creator | Sung, Yeji Spagou, Konstantina Kafeza, Marina Kyriakides, Michael Dharmarajah, Brahman Shalhoub, Joseph Diaz, Jose A. Wakefield, Thomas W. Holmes, Elaine Davies, Alun H. |
description | Deep vein thrombosis (DVT) is a major health problem, responsible for significant morbidity and mortality. The identification of a simple and effective diagnostic biomarker of DVT remains a challenge. Metabolomics have recently emerged as a new powerful scientific tool to characterise metabolic phenotypes of complex diseases and investigate small molecules in biofluids. The aim of the study was to identify the blood and vein wall metabolomic signature of DVT in a murine experimental model.
An established inferior vena cava ligation mouse model of DVT (n=10) was used and compared with sham surgery controls (n=10). Comprehensive untargeted metabolic profiling of serum and vein wall extracts was undertaken using liquid chromatography coupled mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy.
Multivariate and univariate statistical analysis demonstrated a differential metabolic profile when comparing DVT mice and control animals. Serum from DVT mice was characterised by differential concentrations of adenosine (decreased in DVT mice 9.6 fold), adenine (decreased 10.6 fold), and tricyclic acid cycle (TCA) intermediates, including citrate, succinate, and fumarate (1.5, 2.3, and 2.8 fold decreases, respectively). l-carnitine was found to be of greater abundance in the serum of DVT animals (67.0 fold change). A number of lipid moiety classes, including sphingomyelins, phosphatidylcholines, and triglycerides, were differentially abundant. Several metabolites were found in vein wall, including acetylcarnitine (increased in DVT mice 1.9 fold), adenosine (increased 2.2 fold), and ceramide (increased 2.7 fold). Correlation analysis illustrated the biochemical relationships between assigned metabolites, with the discriminatory molecules being highly correlated with each other, in both serum and vein wall.
The present findings demonstrate that metabolic dysregulations in DVT centre on energy metabolism, sphingolipid, and adenosine metabolism, representing a DVT specific metabolite signature in a murine experimental model. |
doi_str_mv | 10.1016/j.ejvs.2018.01.027 |
format | Article |
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An established inferior vena cava ligation mouse model of DVT (n=10) was used and compared with sham surgery controls (n=10). Comprehensive untargeted metabolic profiling of serum and vein wall extracts was undertaken using liquid chromatography coupled mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy.
Multivariate and univariate statistical analysis demonstrated a differential metabolic profile when comparing DVT mice and control animals. Serum from DVT mice was characterised by differential concentrations of adenosine (decreased in DVT mice 9.6 fold), adenine (decreased 10.6 fold), and tricyclic acid cycle (TCA) intermediates, including citrate, succinate, and fumarate (1.5, 2.3, and 2.8 fold decreases, respectively). l-carnitine was found to be of greater abundance in the serum of DVT animals (67.0 fold change). A number of lipid moiety classes, including sphingomyelins, phosphatidylcholines, and triglycerides, were differentially abundant. Several metabolites were found in vein wall, including acetylcarnitine (increased in DVT mice 1.9 fold), adenosine (increased 2.2 fold), and ceramide (increased 2.7 fold). Correlation analysis illustrated the biochemical relationships between assigned metabolites, with the discriminatory molecules being highly correlated with each other, in both serum and vein wall.
The present findings demonstrate that metabolic dysregulations in DVT centre on energy metabolism, sphingolipid, and adenosine metabolism, representing a DVT specific metabolite signature in a murine experimental model.</description><identifier>ISSN: 1078-5884</identifier><identifier>EISSN: 1532-2165</identifier><identifier>DOI: 10.1016/j.ejvs.2018.01.027</identifier><identifier>PMID: 29526653</identifier><language>eng</language><publisher>England: Elsevier B.V</publisher><subject>Acetylcarnitine - blood ; Acetylcarnitine - metabolism ; Adenosine - blood ; Adenosine - metabolism ; Animal model ; Animals ; Biomarkers ; Biomarkers - blood ; Biomarkers - metabolism ; Chromatography, Liquid - methods ; Deep vein thrombosis ; Disease Models, Animal ; Energy Metabolism ; Magnetic Resonance Spectroscopy - methods ; Metabolic profiling ; Metabolomics ; Metabolomics - methods ; Mice ; Sphingomyelins - blood ; Sphingomyelins - metabolism ; Statistics as Topic ; Succinic Acid - blood ; Succinic Acid - metabolism ; Vena Cava, Inferior - metabolism ; Venous thromboembolism ; Venous Thrombosis - blood ; Venous Thrombosis - diagnosis</subject><ispartof>European journal of vascular and endovascular surgery, 2018-05, Vol.55 (5), p.703-713</ispartof><rights>2018 European Society for Vascular Surgery</rights><rights>Copyright © 2018 European Society for Vascular Surgery. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-6ec4e3b551f98b48629831b2f1e4692646f1472c133c17a13acf0187df5970603</citedby><cites>FETCH-LOGICAL-c466t-6ec4e3b551f98b48629831b2f1e4692646f1472c133c17a13acf0187df5970603</cites><orcidid>0000-0003-1011-7440 ; 0000-0002-0556-8389 ; 0000-0001-5261-6913</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejvs.2018.01.027$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29526653$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sung, Yeji</creatorcontrib><creatorcontrib>Spagou, Konstantina</creatorcontrib><creatorcontrib>Kafeza, Marina</creatorcontrib><creatorcontrib>Kyriakides, Michael</creatorcontrib><creatorcontrib>Dharmarajah, Brahman</creatorcontrib><creatorcontrib>Shalhoub, Joseph</creatorcontrib><creatorcontrib>Diaz, Jose A.</creatorcontrib><creatorcontrib>Wakefield, Thomas W.</creatorcontrib><creatorcontrib>Holmes, Elaine</creatorcontrib><creatorcontrib>Davies, Alun H.</creatorcontrib><title>Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model</title><title>European journal of vascular and endovascular surgery</title><addtitle>Eur J Vasc Endovasc Surg</addtitle><description>Deep vein thrombosis (DVT) is a major health problem, responsible for significant morbidity and mortality. The identification of a simple and effective diagnostic biomarker of DVT remains a challenge. Metabolomics have recently emerged as a new powerful scientific tool to characterise metabolic phenotypes of complex diseases and investigate small molecules in biofluids. The aim of the study was to identify the blood and vein wall metabolomic signature of DVT in a murine experimental model.
An established inferior vena cava ligation mouse model of DVT (n=10) was used and compared with sham surgery controls (n=10). Comprehensive untargeted metabolic profiling of serum and vein wall extracts was undertaken using liquid chromatography coupled mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy.
Multivariate and univariate statistical analysis demonstrated a differential metabolic profile when comparing DVT mice and control animals. Serum from DVT mice was characterised by differential concentrations of adenosine (decreased in DVT mice 9.6 fold), adenine (decreased 10.6 fold), and tricyclic acid cycle (TCA) intermediates, including citrate, succinate, and fumarate (1.5, 2.3, and 2.8 fold decreases, respectively). l-carnitine was found to be of greater abundance in the serum of DVT animals (67.0 fold change). A number of lipid moiety classes, including sphingomyelins, phosphatidylcholines, and triglycerides, were differentially abundant. Several metabolites were found in vein wall, including acetylcarnitine (increased in DVT mice 1.9 fold), adenosine (increased 2.2 fold), and ceramide (increased 2.7 fold). Correlation analysis illustrated the biochemical relationships between assigned metabolites, with the discriminatory molecules being highly correlated with each other, in both serum and vein wall.
The present findings demonstrate that metabolic dysregulations in DVT centre on energy metabolism, sphingolipid, and adenosine metabolism, representing a DVT specific metabolite signature in a murine experimental model.</description><subject>Acetylcarnitine - blood</subject><subject>Acetylcarnitine - metabolism</subject><subject>Adenosine - blood</subject><subject>Adenosine - metabolism</subject><subject>Animal model</subject><subject>Animals</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - metabolism</subject><subject>Chromatography, Liquid - methods</subject><subject>Deep vein thrombosis</subject><subject>Disease Models, Animal</subject><subject>Energy Metabolism</subject><subject>Magnetic Resonance Spectroscopy - methods</subject><subject>Metabolic profiling</subject><subject>Metabolomics</subject><subject>Metabolomics - methods</subject><subject>Mice</subject><subject>Sphingomyelins - blood</subject><subject>Sphingomyelins - metabolism</subject><subject>Statistics as Topic</subject><subject>Succinic Acid - blood</subject><subject>Succinic Acid - metabolism</subject><subject>Vena Cava, Inferior - metabolism</subject><subject>Venous thromboembolism</subject><subject>Venous Thrombosis - blood</subject><subject>Venous Thrombosis - diagnosis</subject><issn>1078-5884</issn><issn>1532-2165</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kM1u1DAUhS0Eoj_wAiyQl2wSfO3YSSQ2aFpKpamo1B-WluPcEI-SeLA9I7rnwfFoCks2tqV7vqPrj5B3wEpgoD5uStzsY8kZNCWDkvH6BTkFKXjBQcmX-c3qppBNU52Qsxg3jDEJQr4mJ7yVXCkpTsnvC8QtfUS30Psx-Lnz0UV6-Wt0nUuRrkYTjE0YXEzO0jsMu5mapT8S38000RtMpvNTnt6OuPj0tMVI8zCNSK-XIaM-5Phi6MrsDV27HyY5v9Abv4uYzx6nN-TVYKaIb5_vc_Lw5fJ-9bVYf7u6Xn1eF7ZSKhUKbYWikxKGtumqRvG2EdDxAbBSLVeVGqCquQUhLNQGhLFDdlP3g2xrppg4Jx-Ovdvgf-4wJj27aHGazIJ5G51NCmAi8znKj1EbfIwBB70NbjbhSQPTB_t6ow_2D0yjGehsP0Pvn_t33Yz9P-Sv7hz4dAxg_uXeYdDROlws9i6gTbr37n_9fwDAkpX8</recordid><startdate>201805</startdate><enddate>201805</enddate><creator>Sung, Yeji</creator><creator>Spagou, Konstantina</creator><creator>Kafeza, Marina</creator><creator>Kyriakides, Michael</creator><creator>Dharmarajah, Brahman</creator><creator>Shalhoub, Joseph</creator><creator>Diaz, Jose A.</creator><creator>Wakefield, Thomas W.</creator><creator>Holmes, Elaine</creator><creator>Davies, Alun H.</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><orcidid>https://orcid.org/0000-0003-1011-7440</orcidid><orcidid>https://orcid.org/0000-0002-0556-8389</orcidid><orcidid>https://orcid.org/0000-0001-5261-6913</orcidid></search><sort><creationdate>201805</creationdate><title>Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model</title><author>Sung, Yeji ; Spagou, Konstantina ; Kafeza, Marina ; Kyriakides, Michael ; Dharmarajah, Brahman ; Shalhoub, Joseph ; Diaz, Jose A. ; Wakefield, Thomas W. ; Holmes, Elaine ; Davies, Alun H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-6ec4e3b551f98b48629831b2f1e4692646f1472c133c17a13acf0187df5970603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acetylcarnitine - blood</topic><topic>Acetylcarnitine - metabolism</topic><topic>Adenosine - blood</topic><topic>Adenosine - metabolism</topic><topic>Animal model</topic><topic>Animals</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - metabolism</topic><topic>Chromatography, Liquid - methods</topic><topic>Deep vein thrombosis</topic><topic>Disease Models, Animal</topic><topic>Energy Metabolism</topic><topic>Magnetic Resonance Spectroscopy - methods</topic><topic>Metabolic profiling</topic><topic>Metabolomics</topic><topic>Metabolomics - methods</topic><topic>Mice</topic><topic>Sphingomyelins - blood</topic><topic>Sphingomyelins - metabolism</topic><topic>Statistics as Topic</topic><topic>Succinic Acid - blood</topic><topic>Succinic Acid - metabolism</topic><topic>Vena Cava, Inferior - metabolism</topic><topic>Venous thromboembolism</topic><topic>Venous Thrombosis - blood</topic><topic>Venous Thrombosis - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sung, Yeji</creatorcontrib><creatorcontrib>Spagou, Konstantina</creatorcontrib><creatorcontrib>Kafeza, Marina</creatorcontrib><creatorcontrib>Kyriakides, Michael</creatorcontrib><creatorcontrib>Dharmarajah, Brahman</creatorcontrib><creatorcontrib>Shalhoub, Joseph</creatorcontrib><creatorcontrib>Diaz, Jose A.</creatorcontrib><creatorcontrib>Wakefield, Thomas W.</creatorcontrib><creatorcontrib>Holmes, Elaine</creatorcontrib><creatorcontrib>Davies, Alun H.</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>European journal of vascular and endovascular surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sung, Yeji</au><au>Spagou, Konstantina</au><au>Kafeza, Marina</au><au>Kyriakides, Michael</au><au>Dharmarajah, Brahman</au><au>Shalhoub, Joseph</au><au>Diaz, Jose A.</au><au>Wakefield, Thomas W.</au><au>Holmes, Elaine</au><au>Davies, Alun H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model</atitle><jtitle>European journal of vascular and endovascular surgery</jtitle><addtitle>Eur J Vasc Endovasc Surg</addtitle><date>2018-05</date><risdate>2018</risdate><volume>55</volume><issue>5</issue><spage>703</spage><epage>713</epage><pages>703-713</pages><issn>1078-5884</issn><eissn>1532-2165</eissn><abstract>Deep vein thrombosis (DVT) is a major health problem, responsible for significant morbidity and mortality. The identification of a simple and effective diagnostic biomarker of DVT remains a challenge. Metabolomics have recently emerged as a new powerful scientific tool to characterise metabolic phenotypes of complex diseases and investigate small molecules in biofluids. The aim of the study was to identify the blood and vein wall metabolomic signature of DVT in a murine experimental model.
An established inferior vena cava ligation mouse model of DVT (n=10) was used and compared with sham surgery controls (n=10). Comprehensive untargeted metabolic profiling of serum and vein wall extracts was undertaken using liquid chromatography coupled mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy.
Multivariate and univariate statistical analysis demonstrated a differential metabolic profile when comparing DVT mice and control animals. Serum from DVT mice was characterised by differential concentrations of adenosine (decreased in DVT mice 9.6 fold), adenine (decreased 10.6 fold), and tricyclic acid cycle (TCA) intermediates, including citrate, succinate, and fumarate (1.5, 2.3, and 2.8 fold decreases, respectively). l-carnitine was found to be of greater abundance in the serum of DVT animals (67.0 fold change). A number of lipid moiety classes, including sphingomyelins, phosphatidylcholines, and triglycerides, were differentially abundant. Several metabolites were found in vein wall, including acetylcarnitine (increased in DVT mice 1.9 fold), adenosine (increased 2.2 fold), and ceramide (increased 2.7 fold). Correlation analysis illustrated the biochemical relationships between assigned metabolites, with the discriminatory molecules being highly correlated with each other, in both serum and vein wall.
The present findings demonstrate that metabolic dysregulations in DVT centre on energy metabolism, sphingolipid, and adenosine metabolism, representing a DVT specific metabolite signature in a murine experimental model.</abstract><cop>England</cop><pub>Elsevier B.V</pub><pmid>29526653</pmid><doi>10.1016/j.ejvs.2018.01.027</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1011-7440</orcidid><orcidid>https://orcid.org/0000-0002-0556-8389</orcidid><orcidid>https://orcid.org/0000-0001-5261-6913</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acetylcarnitine - blood Acetylcarnitine - metabolism Adenosine - blood Adenosine - metabolism Animal model Animals Biomarkers Biomarkers - blood Biomarkers - metabolism Chromatography, Liquid - methods Deep vein thrombosis Disease Models, Animal Energy Metabolism Magnetic Resonance Spectroscopy - methods Metabolic profiling Metabolomics Metabolomics - methods Mice Sphingomyelins - blood Sphingomyelins - metabolism Statistics as Topic Succinic Acid - blood Succinic Acid - metabolism Vena Cava, Inferior - metabolism Venous thromboembolism Venous Thrombosis - blood Venous Thrombosis - diagnosis |
title | Deep Vein Thrombosis Exhibits Characteristic Serum and Vein Wall Metabolic Phenotypes in the Inferior Vena Cava Ligation Mouse Model |
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