Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions
Objectives Raised total cholesterol (TC) and reduced high-density lipoprotein (HDL) cholesterol levels are established cardiovascular disease (CVD) risk factors. However, in autoimmune conditions the lipid–CVD association appears paradoxical, with inflammation as a potential confounding factor. We t...
Gespeichert in:
| Veröffentlicht in: | Annals of the rheumatic diseases 2014-08, Vol.73 (8), p.1495-1499 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1499 |
|---|---|
| container_issue | 8 |
| container_start_page | 1495 |
| container_title | Annals of the rheumatic diseases |
| container_volume | 73 |
| creator | Johnsson, Hanna Panarelli, Maurizio Cameron, Allan Sattar, Naveed |
| description | Objectives Raised total cholesterol (TC) and reduced high-density lipoprotein (HDL) cholesterol levels are established cardiovascular disease (CVD) risk factors. However, in autoimmune conditions the lipid–CVD association appears paradoxical, with inflammation as a potential confounding factor. We therefore sought to model the relationship between systemic inflammatory illness and lipid levels using C-reactive protein (CRP) as the prototypical marker of inflammation. Our hypothesis was that there would be an inverse association between raised CRP levels and both TC and HDL-cholesterol levels. Methods Results from samples analysed simultaneously for CRP and lipids in a 6-month period were collected retrospectively from a large city hospital laboratory database that collates results from both primary and secondary care. The relationships between CRP and lipids were determined using graphical techniques and empirical, non-parametric, best fit models. Results A total of 11 437 blood samples was included. We identified a significant (p |
| doi_str_mv | 10.1136/annrheumdis-2013-203293 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1808670402</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1543283160</sourcerecordid><originalsourceid>FETCH-LOGICAL-b487t-bdae5f5277d07465c434f5f5fda6d036dafa379495385e8e6b8e97318e66132d3</originalsourceid><addsrcrecordid>eNqNkkuO1DAQhi0EYpqBK4AlNmwCdpzYznLU4iWNxAbWkRNXOm45dmMnI_Vu7sAFESehMt2DgA1s_Pzqd7nqJ-QFZ685F_KNCSGNsEzW5aJkXOAgykY8IBteSY07yR6SDWNMFFUj1QV5kvMet0xz_ZhclEJxyWSzId-vgvHH7DI1wdIpWvDehR2NA-3H6CHPkKK_uxzdbiwshOzmI_XuEA8pzuDCH2A_mrADVOtTzJnOI9C0nqyC2yKB6Wd3A_Q-1MMN-ExXEXzW9cbj1cr0QM2aEzXO0jnSDmZ8gC7BQsozpnNO0oXBm2kys4vhx-03TAt5F5BdVWLIT8mjwfgMz87zJfny7u3n7Yfi-tP7j9ur66KrtJqLzhqoh7pUyjJVybqvRDXgwWCNtExIawYjVFM1tdA1aJCdhkYJjivJRWnFJXl10sWvfV2wHO3kco_VNAHikluumZaKVaz8N1pXotQCO4Toy7_QfVwStgwppVSDXVcCKXWi7oqeYGgPyU0mHVvO2tUv7W9-aVe_tCe_YOTzs_7STWB_xd0bBIHyBHTT_r9VfwJMWdZJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1777903273</pqid></control><display><type>article</type><title>Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions</title><source>MEDLINE</source><source>BMJ Journals - NESLi2</source><creator>Johnsson, Hanna ; Panarelli, Maurizio ; Cameron, Allan ; Sattar, Naveed</creator><creatorcontrib>Johnsson, Hanna ; Panarelli, Maurizio ; Cameron, Allan ; Sattar, Naveed</creatorcontrib><description>Objectives Raised total cholesterol (TC) and reduced high-density lipoprotein (HDL) cholesterol levels are established cardiovascular disease (CVD) risk factors. However, in autoimmune conditions the lipid–CVD association appears paradoxical, with inflammation as a potential confounding factor. We therefore sought to model the relationship between systemic inflammatory illness and lipid levels using C-reactive protein (CRP) as the prototypical marker of inflammation. Our hypothesis was that there would be an inverse association between raised CRP levels and both TC and HDL-cholesterol levels. Methods Results from samples analysed simultaneously for CRP and lipids in a 6-month period were collected retrospectively from a large city hospital laboratory database that collates results from both primary and secondary care. The relationships between CRP and lipids were determined using graphical techniques and empirical, non-parametric, best fit models. Results A total of 11 437 blood samples was included. We identified a significant (p<0.001) biphasic relationship between TC and CRP: TC increased within the healthy CRP range of less than 5 mg/l, but decreased with CRP levels above 10 mg/l. The two effects approximately cancelled each other out in the intermediate CRP range of 5–10 mg/l. There was an inverse relationship between HDL-cholesterol and CRP. Conclusions Lipid levels change significantly during inflammatory illness in a population with both acute and chronic conditions. These results provide a strong epidemiological basis for the better understanding of lipid changes in inflammatory conditions and with anti-inflammatory therapies.</description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2013-203293</identifier><identifier>PMID: 23716069</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>England: Elsevier Limited</publisher><subject>Adult ; Age ; Aged ; Arthritis, Rheumatoid - immunology ; Arthritis, Rheumatoid - metabolism ; Arthritis, Rheumatoid - mortality ; Autoimmune diseases ; Biochemistry ; C-Reactive Protein - immunology ; C-Reactive Protein - metabolism ; Cardiovascular Diseases - immunology ; Cardiovascular Diseases - metabolism ; Cardiovascular Diseases - mortality ; Cholesterol ; Cholesterol - blood ; Cholesterol - immunology ; Cholesterol, HDL - blood ; Cholesterol, HDL - immunology ; Expected values ; Female ; Gender differences ; High density lipoprotein ; Humans ; Inflammation ; Inflammation - immunology ; Inflammation - metabolism ; Inflammation - mortality ; Laboratories ; Least-Squares Analysis ; Lipids ; Lipoproteins ; Male ; Middle Aged ; Models, Biological ; Mortality ; Nonlinear Dynamics ; Patients ; Retrospective Studies ; Risk Factors ; Statistics, Nonparametric ; Women</subject><ispartof>Annals of the rheumatic diseases, 2014-08, Vol.73 (8), p.1495-1499</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b487t-bdae5f5277d07465c434f5f5fda6d036dafa379495385e8e6b8e97318e66132d3</citedby><cites>FETCH-LOGICAL-b487t-bdae5f5277d07465c434f5f5fda6d036dafa379495385e8e6b8e97318e66132d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/73/8/1495.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/73/8/1495.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,776,780,3183,23550,27901,27902,77342,77373</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23716069$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnsson, Hanna</creatorcontrib><creatorcontrib>Panarelli, Maurizio</creatorcontrib><creatorcontrib>Cameron, Allan</creatorcontrib><creatorcontrib>Sattar, Naveed</creatorcontrib><title>Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions</title><title>Annals of the rheumatic diseases</title><addtitle>Ann Rheum Dis</addtitle><description>Objectives Raised total cholesterol (TC) and reduced high-density lipoprotein (HDL) cholesterol levels are established cardiovascular disease (CVD) risk factors. However, in autoimmune conditions the lipid–CVD association appears paradoxical, with inflammation as a potential confounding factor. We therefore sought to model the relationship between systemic inflammatory illness and lipid levels using C-reactive protein (CRP) as the prototypical marker of inflammation. Our hypothesis was that there would be an inverse association between raised CRP levels and both TC and HDL-cholesterol levels. Methods Results from samples analysed simultaneously for CRP and lipids in a 6-month period were collected retrospectively from a large city hospital laboratory database that collates results from both primary and secondary care. The relationships between CRP and lipids were determined using graphical techniques and empirical, non-parametric, best fit models. Results A total of 11 437 blood samples was included. We identified a significant (p<0.001) biphasic relationship between TC and CRP: TC increased within the healthy CRP range of less than 5 mg/l, but decreased with CRP levels above 10 mg/l. The two effects approximately cancelled each other out in the intermediate CRP range of 5–10 mg/l. There was an inverse relationship between HDL-cholesterol and CRP. Conclusions Lipid levels change significantly during inflammatory illness in a population with both acute and chronic conditions. These results provide a strong epidemiological basis for the better understanding of lipid changes in inflammatory conditions and with anti-inflammatory therapies.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Arthritis, Rheumatoid - immunology</subject><subject>Arthritis, Rheumatoid - metabolism</subject><subject>Arthritis, Rheumatoid - mortality</subject><subject>Autoimmune diseases</subject><subject>Biochemistry</subject><subject>C-Reactive Protein - immunology</subject><subject>C-Reactive Protein - metabolism</subject><subject>Cardiovascular Diseases - immunology</subject><subject>Cardiovascular Diseases - metabolism</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cholesterol</subject><subject>Cholesterol - blood</subject><subject>Cholesterol - immunology</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, HDL - immunology</subject><subject>Expected values</subject><subject>Female</subject><subject>Gender differences</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Inflammation - immunology</subject><subject>Inflammation - metabolism</subject><subject>Inflammation - mortality</subject><subject>Laboratories</subject><subject>Least-Squares Analysis</subject><subject>Lipids</subject><subject>Lipoproteins</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>Nonlinear Dynamics</subject><subject>Patients</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Statistics, Nonparametric</subject><subject>Women</subject><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkkuO1DAQhi0EYpqBK4AlNmwCdpzYznLU4iWNxAbWkRNXOm45dmMnI_Vu7sAFESehMt2DgA1s_Pzqd7nqJ-QFZ685F_KNCSGNsEzW5aJkXOAgykY8IBteSY07yR6SDWNMFFUj1QV5kvMet0xz_ZhclEJxyWSzId-vgvHH7DI1wdIpWvDehR2NA-3H6CHPkKK_uxzdbiwshOzmI_XuEA8pzuDCH2A_mrADVOtTzJnOI9C0nqyC2yKB6Wd3A_Q-1MMN-ExXEXzW9cbj1cr0QM2aEzXO0jnSDmZ8gC7BQsozpnNO0oXBm2kys4vhx-03TAt5F5BdVWLIT8mjwfgMz87zJfny7u3n7Yfi-tP7j9ur66KrtJqLzhqoh7pUyjJVybqvRDXgwWCNtExIawYjVFM1tdA1aJCdhkYJjivJRWnFJXl10sWvfV2wHO3kco_VNAHikluumZaKVaz8N1pXotQCO4Toy7_QfVwStgwppVSDXVcCKXWi7oqeYGgPyU0mHVvO2tUv7W9-aVe_tCe_YOTzs_7STWB_xd0bBIHyBHTT_r9VfwJMWdZJ</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Johnsson, Hanna</creator><creator>Panarelli, Maurizio</creator><creator>Cameron, Allan</creator><creator>Sattar, Naveed</creator><general>Elsevier Limited</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>7T5</scope><scope>H94</scope></search><sort><creationdate>20140801</creationdate><title>Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions</title><author>Johnsson, Hanna ; Panarelli, Maurizio ; Cameron, Allan ; Sattar, Naveed</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b487t-bdae5f5277d07465c434f5f5fda6d036dafa379495385e8e6b8e97318e66132d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Arthritis, Rheumatoid - immunology</topic><topic>Arthritis, Rheumatoid - metabolism</topic><topic>Arthritis, Rheumatoid - mortality</topic><topic>Autoimmune diseases</topic><topic>Biochemistry</topic><topic>C-Reactive Protein - immunology</topic><topic>C-Reactive Protein - metabolism</topic><topic>Cardiovascular Diseases - immunology</topic><topic>Cardiovascular Diseases - metabolism</topic><topic>Cardiovascular Diseases - mortality</topic><topic>Cholesterol</topic><topic>Cholesterol - blood</topic><topic>Cholesterol - immunology</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, HDL - immunology</topic><topic>Expected values</topic><topic>Female</topic><topic>Gender differences</topic><topic>High density lipoprotein</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Inflammation - immunology</topic><topic>Inflammation - metabolism</topic><topic>Inflammation - mortality</topic><topic>Laboratories</topic><topic>Least-Squares Analysis</topic><topic>Lipids</topic><topic>Lipoproteins</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>Nonlinear Dynamics</topic><topic>Patients</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Statistics, Nonparametric</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnsson, Hanna</creatorcontrib><creatorcontrib>Panarelli, Maurizio</creatorcontrib><creatorcontrib>Cameron, Allan</creatorcontrib><creatorcontrib>Sattar, Naveed</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>Annals of the rheumatic diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnsson, Hanna</au><au>Panarelli, Maurizio</au><au>Cameron, Allan</au><au>Sattar, Naveed</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions</atitle><jtitle>Annals of the rheumatic diseases</jtitle><addtitle>Ann Rheum Dis</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>73</volume><issue>8</issue><spage>1495</spage><epage>1499</epage><pages>1495-1499</pages><issn>0003-4967</issn><eissn>1468-2060</eissn><coden>ARDIAO</coden><abstract>Objectives Raised total cholesterol (TC) and reduced high-density lipoprotein (HDL) cholesterol levels are established cardiovascular disease (CVD) risk factors. However, in autoimmune conditions the lipid–CVD association appears paradoxical, with inflammation as a potential confounding factor. We therefore sought to model the relationship between systemic inflammatory illness and lipid levels using C-reactive protein (CRP) as the prototypical marker of inflammation. Our hypothesis was that there would be an inverse association between raised CRP levels and both TC and HDL-cholesterol levels. Methods Results from samples analysed simultaneously for CRP and lipids in a 6-month period were collected retrospectively from a large city hospital laboratory database that collates results from both primary and secondary care. The relationships between CRP and lipids were determined using graphical techniques and empirical, non-parametric, best fit models. Results A total of 11 437 blood samples was included. We identified a significant (p<0.001) biphasic relationship between TC and CRP: TC increased within the healthy CRP range of less than 5 mg/l, but decreased with CRP levels above 10 mg/l. The two effects approximately cancelled each other out in the intermediate CRP range of 5–10 mg/l. There was an inverse relationship between HDL-cholesterol and CRP. Conclusions Lipid levels change significantly during inflammatory illness in a population with both acute and chronic conditions. These results provide a strong epidemiological basis for the better understanding of lipid changes in inflammatory conditions and with anti-inflammatory therapies.</abstract><cop>England</cop><pub>Elsevier Limited</pub><pmid>23716069</pmid><doi>10.1136/annrheumdis-2013-203293</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0003-4967 |
| ispartof | Annals of the rheumatic diseases, 2014-08, Vol.73 (8), p.1495-1499 |
| issn | 0003-4967 1468-2060 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1808670402 |
| source | MEDLINE; BMJ Journals - NESLi2 |
| subjects | Adult Age Aged Arthritis, Rheumatoid - immunology Arthritis, Rheumatoid - metabolism Arthritis, Rheumatoid - mortality Autoimmune diseases Biochemistry C-Reactive Protein - immunology C-Reactive Protein - metabolism Cardiovascular Diseases - immunology Cardiovascular Diseases - metabolism Cardiovascular Diseases - mortality Cholesterol Cholesterol - blood Cholesterol - immunology Cholesterol, HDL - blood Cholesterol, HDL - immunology Expected values Female Gender differences High density lipoprotein Humans Inflammation Inflammation - immunology Inflammation - metabolism Inflammation - mortality Laboratories Least-Squares Analysis Lipids Lipoproteins Male Middle Aged Models, Biological Mortality Nonlinear Dynamics Patients Retrospective Studies Risk Factors Statistics, Nonparametric Women |
| title | Analysis and modelling of cholesterol and high-density lipoprotein cholesterol changes across the range of C-reactive protein levels in clinical practice as an aid to better understanding of inflammation–lipid interactions |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T13%3A30%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Analysis%20and%20modelling%20of%20cholesterol%20and%20high-density%20lipoprotein%20cholesterol%20changes%20across%20the%20range%20of%20C-reactive%20protein%20levels%20in%20clinical%20practice%20as%20an%20aid%20to%20better%20understanding%20of%20inflammation%E2%80%93lipid%20interactions&rft.jtitle=Annals%20of%20the%20rheumatic%20diseases&rft.au=Johnsson,%20Hanna&rft.date=2014-08-01&rft.volume=73&rft.issue=8&rft.spage=1495&rft.epage=1499&rft.pages=1495-1499&rft.issn=0003-4967&rft.eissn=1468-2060&rft.coden=ARDIAO&rft_id=info:doi/10.1136/annrheumdis-2013-203293&rft_dat=%3Cproquest_cross%3E1543283160%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1777903273&rft_id=info:pmid/23716069&rfr_iscdi=true |