SAT0003 Quantitative Monocyte CD64 (MCD64) Expression is Useful Biomarker for Disease Activity in Systemic Lupus Erythematosus (SLE) Patients

Background Interferon (IFN)-α has been largely implicated in the ethiopathogenesis of SLE. The activation of IFN-α might be important in the prognosis and activity assessment of the disease. CD64 (FcγRI) is upregulated on monocytes as a response to IFN-I1. Flow cytometry analysis of mCD64 expression...

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Veröffentlicht in:Annals of the rheumatic diseases 2014-06, Vol.73 (Suppl 2), p.590-591
Hauptverfasser: Yura, A., Tsuji, S., Kitatoube, A., Kikuchi-Taura, A., Katayama, M., Watanabe, A., Teshigawara, S., Yoshimura, M., Kudo-Tanaka, E., Harada, Y., Matsushita, M., Katada, Y., Ohshima, S., Hashimoto, J., Saeki, Y.
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container_issue Suppl 2
container_start_page 590
container_title Annals of the rheumatic diseases
container_volume 73
creator Yura, A.
Tsuji, S.
Kitatoube, A.
Kikuchi-Taura, A.
Katayama, M.
Watanabe, A.
Teshigawara, S.
Yoshimura, M.
Kudo-Tanaka, E.
Harada, Y.
Matsushita, M.
Katada, Y.
Ohshima, S.
Hashimoto, J.
Saeki, Y.
description Background Interferon (IFN)-α has been largely implicated in the ethiopathogenesis of SLE. The activation of IFN-α might be important in the prognosis and activity assessment of the disease. CD64 (FcγRI) is upregulated on monocytes as a response to IFN-I1. Flow cytometry analysis of mCD64 expression (Mean Fluorescence Intensity) is a convenient and rapid approach for estimating IFN-α levels in SLE patients. Additionally, macrophage colony-stimulating factor (M-CSF), which is involved in the differentiation of monocyte/macrophage, affects CD64 expression on monocyte2 has been reported to increase in levels in SLE patients,3 and is also involved in SLE disease activity4. mCD64 can be the quantified easily and the measurement is consistent among the respective facilities. However, the quantitative mCD64 of SLE patients has not been reported. Objectives We investigated the levels of mCD64 by quantitative flow cytometry to assess the usefulness of it as a SLE disease activity biomarker. Methods 30 SLE patients (10 active SLE, 20 inactive SLE) and 20 healthy controls (HC) were in this study. SLE disease activity was evaluated using by SLE-Disease Activity Index (SLEDAI) score. mCD64, SLE activity biomarkers (anti-DNA antibody and complement titer (CH50)), IFN-α and M-CSF were measured in SLE patients. mCD64 was measured by a quantitative flow cytometry using fluorescene microbeads. INF-α and M-CSF levels were measured using an enzyme-linked immunoabsorbent assay (ELISA). Correlational analysis between levels of mCD64, SLEDAI, SLE activity biomarkers, INF-α and M-CSF in each group were evaluated. Results Disease activity markers are shown Table 1. The variables with significant difference between active SLE and inactive SLE were SLEDAI (p
doi_str_mv 10.1136/annrheumdis-2014-eular.2824
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The activation of IFN-α might be important in the prognosis and activity assessment of the disease. CD64 (FcγRI) is upregulated on monocytes as a response to IFN-I1. Flow cytometry analysis of mCD64 expression (Mean Fluorescence Intensity) is a convenient and rapid approach for estimating IFN-α levels in SLE patients. Additionally, macrophage colony-stimulating factor (M-CSF), which is involved in the differentiation of monocyte/macrophage, affects CD64 expression on monocyte2 has been reported to increase in levels in SLE patients,3 and is also involved in SLE disease activity4. mCD64 can be the quantified easily and the measurement is consistent among the respective facilities. However, the quantitative mCD64 of SLE patients has not been reported. Objectives We investigated the levels of mCD64 by quantitative flow cytometry to assess the usefulness of it as a SLE disease activity biomarker. Methods 30 SLE patients (10 active SLE, 20 inactive SLE) and 20 healthy controls (HC) were in this study. SLE disease activity was evaluated using by SLE-Disease Activity Index (SLEDAI) score. mCD64, SLE activity biomarkers (anti-DNA antibody and complement titer (CH50)), IFN-α and M-CSF were measured in SLE patients. mCD64 was measured by a quantitative flow cytometry using fluorescene microbeads. INF-α and M-CSF levels were measured using an enzyme-linked immunoabsorbent assay (ELISA). Correlational analysis between levels of mCD64, SLEDAI, SLE activity biomarkers, INF-α and M-CSF in each group were evaluated. Results Disease activity markers are shown Table 1. The variables with significant difference between active SLE and inactive SLE were SLEDAI (p<0.05), CH50 (p<0.05), anti DNA antibody (p<0.05), mCD64 (p<0.05), IFN-α (p<0.05), M-CSF (p<0.05).mCD64 levels were correlated with SLEDAI (r=0.6669, p<0.001), anti-DNA antibody (r=0.6887, p<0.05) and CH50 (r=-0.6928, p<0.001), but were not correlated with C3 or C4 levels (data not shown). Further, mCD64 levels were correlated with IFN-α (r=0.6089, p<0.001) and M-CSF (r=0.64443, p<0.001) Table 1. Disease activity markers in SLE patients (mean ± SD) Active SLE Inactive SLE SLEDAI 1.3±30.39 3.0±4.92 Anti-DNA antibody (IU/ml) 144.1±146.7 12.4±10.83 CH50 (U/ml) 25.3±19.16 41.4±13.08 mCD64 (molecules/cell) 38152±15323 21955±5359 IFN-α (pg/ml) 30.4±57.1 7.7±4.9 M-CSF (pg/ml) 752.9±580.7 356.9±124 Conclusions This study suggests that quantitative CD64 molecules expressed on monocytes can be a useful disease activity biomarker in SLE patients. References Li, Y. et al. Arthritis Research & Therapy 2010, 12:R90 Ji XH et al. Acta Pharmacol Sin. 2004; 25(10): 1361-5 Yang PT et al. Ann Rheum Dis. 2008, 67(3): 429-30 Tsuji S. et al. The Journal of Tokyo Medical University vol.70, No.1: 151-8 Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2824]]></description><identifier>ISSN: 0003-4967</identifier><identifier>EISSN: 1468-2060</identifier><identifier>DOI: 10.1136/annrheumdis-2014-eular.2824</identifier><identifier>CODEN: ARDIAO</identifier><language>eng</language><publisher>Kidlington: Elsevier Limited</publisher><ispartof>Annals of the rheumatic diseases, 2014-06, Vol.73 (Suppl 2), p.590-591</ispartof><rights>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><rights>Copyright: 2014 (c) 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></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ard.bmj.com/content/73/Suppl_2/590.3.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://ard.bmj.com/content/73/Suppl_2/590.3.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,777,781,3184,23553,27906,27907,77350,77381</link.rule.ids></links><search><creatorcontrib>Yura, A.</creatorcontrib><creatorcontrib>Tsuji, S.</creatorcontrib><creatorcontrib>Kitatoube, A.</creatorcontrib><creatorcontrib>Kikuchi-Taura, A.</creatorcontrib><creatorcontrib>Katayama, M.</creatorcontrib><creatorcontrib>Watanabe, A.</creatorcontrib><creatorcontrib>Teshigawara, S.</creatorcontrib><creatorcontrib>Yoshimura, M.</creatorcontrib><creatorcontrib>Kudo-Tanaka, E.</creatorcontrib><creatorcontrib>Harada, Y.</creatorcontrib><creatorcontrib>Matsushita, M.</creatorcontrib><creatorcontrib>Katada, Y.</creatorcontrib><creatorcontrib>Ohshima, S.</creatorcontrib><creatorcontrib>Hashimoto, J.</creatorcontrib><creatorcontrib>Saeki, Y.</creatorcontrib><title>SAT0003 Quantitative Monocyte CD64 (MCD64) Expression is Useful Biomarker for Disease Activity in Systemic Lupus Erythematosus (SLE) Patients</title><title>Annals of the rheumatic diseases</title><description><![CDATA[Background Interferon (IFN)-α has been largely implicated in the ethiopathogenesis of SLE. The activation of IFN-α might be important in the prognosis and activity assessment of the disease. CD64 (FcγRI) is upregulated on monocytes as a response to IFN-I1. Flow cytometry analysis of mCD64 expression (Mean Fluorescence Intensity) is a convenient and rapid approach for estimating IFN-α levels in SLE patients. Additionally, macrophage colony-stimulating factor (M-CSF), which is involved in the differentiation of monocyte/macrophage, affects CD64 expression on monocyte2 has been reported to increase in levels in SLE patients,3 and is also involved in SLE disease activity4. mCD64 can be the quantified easily and the measurement is consistent among the respective facilities. However, the quantitative mCD64 of SLE patients has not been reported. Objectives We investigated the levels of mCD64 by quantitative flow cytometry to assess the usefulness of it as a SLE disease activity biomarker. Methods 30 SLE patients (10 active SLE, 20 inactive SLE) and 20 healthy controls (HC) were in this study. SLE disease activity was evaluated using by SLE-Disease Activity Index (SLEDAI) score. mCD64, SLE activity biomarkers (anti-DNA antibody and complement titer (CH50)), IFN-α and M-CSF were measured in SLE patients. mCD64 was measured by a quantitative flow cytometry using fluorescene microbeads. INF-α and M-CSF levels were measured using an enzyme-linked immunoabsorbent assay (ELISA). Correlational analysis between levels of mCD64, SLEDAI, SLE activity biomarkers, INF-α and M-CSF in each group were evaluated. Results Disease activity markers are shown Table 1. The variables with significant difference between active SLE and inactive SLE were SLEDAI (p<0.05), CH50 (p<0.05), anti DNA antibody (p<0.05), mCD64 (p<0.05), IFN-α (p<0.05), M-CSF (p<0.05).mCD64 levels were correlated with SLEDAI (r=0.6669, p<0.001), anti-DNA antibody (r=0.6887, p<0.05) and CH50 (r=-0.6928, p<0.001), but were not correlated with C3 or C4 levels (data not shown). Further, mCD64 levels were correlated with IFN-α (r=0.6089, p<0.001) and M-CSF (r=0.64443, p<0.001) Table 1. Disease activity markers in SLE patients (mean ± SD) Active SLE Inactive SLE SLEDAI 1.3±30.39 3.0±4.92 Anti-DNA antibody (IU/ml) 144.1±146.7 12.4±10.83 CH50 (U/ml) 25.3±19.16 41.4±13.08 mCD64 (molecules/cell) 38152±15323 21955±5359 IFN-α (pg/ml) 30.4±57.1 7.7±4.9 M-CSF (pg/ml) 752.9±580.7 356.9±124 Conclusions This study suggests that quantitative CD64 molecules expressed on monocytes can be a useful disease activity biomarker in SLE patients. References Li, Y. et al. Arthritis Research & Therapy 2010, 12:R90 Ji XH et al. Acta Pharmacol Sin. 2004; 25(10): 1361-5 Yang PT et al. Ann Rheum Dis. 2008, 67(3): 429-30 Tsuji S. et al. The Journal of Tokyo Medical University vol.70, No.1: 151-8 Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2824]]></description><issn>0003-4967</issn><issn>1468-2060</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqVkc1uEzEUhS1EJULLO1jqpl1MsWf8MyNWIQ0FKRWgtGvLmVyrDplx8PUgZsema96RJ8HTdMGW1dX9Oefo6iPknLMrziv11vZ9fICh23osSsZFAcPexquyLsULMuNC1Xms2EsyY4xVhWiUfkVeI-5yy2pez8jv9fxu2v359fh1sH3yySb_A-ht6EM7JqCLayXoxe1ULuny5yECog899UjvEdywp-996Gz8BpG6EOm1R7AIdN5mH59G6nu6HjFB51u6Gg4D0mUc0wN0NgXM3cV6tbykX3Is9AnPyImze4Q3z_WU3H9Y3i0-FqvPN58W81Wx4aWuim2zyb9I0TortKt0Y0utdQPSCS5VXbasKZm0WrdyWylppVAOnAJotNrkVXVKzo--hxi-D4DJ7MIQ-xxp-OSkpWyqfPXueNXGgBjBmUP0-dnRcGYmAuYfAmYiYJ4ImIlAVqujetPt_kv4Fze4kho</recordid><startdate>201406</startdate><enddate>201406</enddate><creator>Yura, A.</creator><creator>Tsuji, S.</creator><creator>Kitatoube, A.</creator><creator>Kikuchi-Taura, A.</creator><creator>Katayama, M.</creator><creator>Watanabe, A.</creator><creator>Teshigawara, S.</creator><creator>Yoshimura, M.</creator><creator>Kudo-Tanaka, E.</creator><creator>Harada, Y.</creator><creator>Matsushita, M.</creator><creator>Katada, Y.</creator><creator>Ohshima, S.</creator><creator>Hashimoto, J.</creator><creator>Saeki, Y.</creator><general>Elsevier Limited</general><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></search><sort><creationdate>201406</creationdate><title>SAT0003 Quantitative Monocyte CD64 (MCD64) Expression is Useful Biomarker for Disease Activity in Systemic Lupus Erythematosus (SLE) Patients</title><author>Yura, A. ; Tsuji, S. ; Kitatoube, A. ; Kikuchi-Taura, A. ; Katayama, M. ; Watanabe, A. ; Teshigawara, S. ; Yoshimura, M. ; Kudo-Tanaka, E. ; Harada, Y. ; Matsushita, M. ; Katada, Y. ; Ohshima, S. ; Hashimoto, J. ; Saeki, Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1273-d9b96754cfa47f379a27779e5f415682c09205a77c5d365a546fef6ee976b9203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yura, A.</creatorcontrib><creatorcontrib>Tsuji, S.</creatorcontrib><creatorcontrib>Kitatoube, A.</creatorcontrib><creatorcontrib>Kikuchi-Taura, A.</creatorcontrib><creatorcontrib>Katayama, M.</creatorcontrib><creatorcontrib>Watanabe, A.</creatorcontrib><creatorcontrib>Teshigawara, S.</creatorcontrib><creatorcontrib>Yoshimura, M.</creatorcontrib><creatorcontrib>Kudo-Tanaka, E.</creatorcontrib><creatorcontrib>Harada, Y.</creatorcontrib><creatorcontrib>Matsushita, M.</creatorcontrib><creatorcontrib>Katada, Y.</creatorcontrib><creatorcontrib>Ohshima, S.</creatorcontrib><creatorcontrib>Hashimoto, J.</creatorcontrib><creatorcontrib>Saeki, Y.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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The activation of IFN-α might be important in the prognosis and activity assessment of the disease. CD64 (FcγRI) is upregulated on monocytes as a response to IFN-I1. Flow cytometry analysis of mCD64 expression (Mean Fluorescence Intensity) is a convenient and rapid approach for estimating IFN-α levels in SLE patients. Additionally, macrophage colony-stimulating factor (M-CSF), which is involved in the differentiation of monocyte/macrophage, affects CD64 expression on monocyte2 has been reported to increase in levels in SLE patients,3 and is also involved in SLE disease activity4. mCD64 can be the quantified easily and the measurement is consistent among the respective facilities. However, the quantitative mCD64 of SLE patients has not been reported. Objectives We investigated the levels of mCD64 by quantitative flow cytometry to assess the usefulness of it as a SLE disease activity biomarker. Methods 30 SLE patients (10 active SLE, 20 inactive SLE) and 20 healthy controls (HC) were in this study. SLE disease activity was evaluated using by SLE-Disease Activity Index (SLEDAI) score. mCD64, SLE activity biomarkers (anti-DNA antibody and complement titer (CH50)), IFN-α and M-CSF were measured in SLE patients. mCD64 was measured by a quantitative flow cytometry using fluorescene microbeads. INF-α and M-CSF levels were measured using an enzyme-linked immunoabsorbent assay (ELISA). Correlational analysis between levels of mCD64, SLEDAI, SLE activity biomarkers, INF-α and M-CSF in each group were evaluated. Results Disease activity markers are shown Table 1. The variables with significant difference between active SLE and inactive SLE were SLEDAI (p<0.05), CH50 (p<0.05), anti DNA antibody (p<0.05), mCD64 (p<0.05), IFN-α (p<0.05), M-CSF (p<0.05).mCD64 levels were correlated with SLEDAI (r=0.6669, p<0.001), anti-DNA antibody (r=0.6887, p<0.05) and CH50 (r=-0.6928, p<0.001), but were not correlated with C3 or C4 levels (data not shown). Further, mCD64 levels were correlated with IFN-α (r=0.6089, p<0.001) and M-CSF (r=0.64443, p<0.001) Table 1. Disease activity markers in SLE patients (mean ± SD) Active SLE Inactive SLE SLEDAI 1.3±30.39 3.0±4.92 Anti-DNA antibody (IU/ml) 144.1±146.7 12.4±10.83 CH50 (U/ml) 25.3±19.16 41.4±13.08 mCD64 (molecules/cell) 38152±15323 21955±5359 IFN-α (pg/ml) 30.4±57.1 7.7±4.9 M-CSF (pg/ml) 752.9±580.7 356.9±124 Conclusions This study suggests that quantitative CD64 molecules expressed on monocytes can be a useful disease activity biomarker in SLE patients. References Li, Y. et al. Arthritis Research & Therapy 2010, 12:R90 Ji XH et al. Acta Pharmacol Sin. 2004; 25(10): 1361-5 Yang PT et al. Ann Rheum Dis. 2008, 67(3): 429-30 Tsuji S. et al. The Journal of Tokyo Medical University vol.70, No.1: 151-8 Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.2824]]></abstract><cop>Kidlington</cop><pub>Elsevier Limited</pub><doi>10.1136/annrheumdis-2014-eular.2824</doi><tpages>2</tpages></addata></record>
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title SAT0003 Quantitative Monocyte CD64 (MCD64) Expression is Useful Biomarker for Disease Activity in Systemic Lupus Erythematosus (SLE) Patients
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