{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T05:52:01Z","timestamp":1790401921682,"version":"4.1.0"},"reference-count":34,"publisher":"Wiley","issue":"14","license":[{"start":{"date-parts":[[2011,6,17]],"date-time":"2011-06-17T00:00:00Z","timestamp":1308268800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"NIH","award":["1R01AI064806"],"award-info":[{"award-number":["1R01AI064806"]}]},{"name":"UNC-Duke Proteomics Center"},{"name":"Duke Institute for Genome Sciences and Policy"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proteomics"],"published-print":{"date-parts":[[2011,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Due to the lack of precise markers indicative of its occurrence and progression, coronary artery disease (CAD), the most common type of heart diseases, is currently associated with high mortality in the United States. To systemically identify novel protein biomarkers associated with CAD progression for early diagnosis and possible therapeutic intervention, we employed an iTRAQ\u2010based quantitative proteomic approach to analyze the proteome changes in the plasma collected from a pair of wild\u2010type versus apolipoprotein E knockout (APOE\n                    <jats:sup>\u2212\/\u2212<\/jats:sup>\n                    ) mice which were fed with a high fat diet. In a multiplex manner, iTRAQ serves as the quantitative \u2018in\u2010spectra\u2019 marker for \u2018cross\u2010sample\u2019 comparisons to determine the differentially expressed\/secreted proteins caused by APOE knock\u2010out. To obtain the most comprehensive proteomic data sets from this CAD\u2010associated mouse model, we applied both MALDI and ESI\u2010based mass spectrometric (MS) platforms coupled with two different schemes of multidimensional liquid chromatography (2\u2010D LC) separation. We then comparatively analyzed a series of the plasma samples collected at 6 and 12\u2009wk of age after the mice were fed with fat diets, where the 6\u2010 or 12\u2010wk time point represents the early or intermediate phase of the fat\u2010induced CAD, respectively. We then categorized those proteins showing abundance changes in accordance with APOE depletion. Several proteins such as the \u03b3 and \u03b2 chains of fibrinogen, apolipoprotein B, apolipoprotein C\u2010I, and thrombospondin\u20104 were among the previously known CAD markers identified by other methods. Our results suggested that these unbiased proteomic methods are both feasible and a practical means of discovering potential biomarkers associated with CAD progression.\n                  <\/jats:p>","DOI":"10.1002\/pmic.201000202","type":"journal-article","created":{"date-parts":[[2011,5,17]],"date-time":"2011-05-17T06:14:40Z","timestamp":1305612880000},"page":"2763-2776","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Discovery of biomarker candidates for coronary artery disease from an APOE\u2010knock out mouse model using iTRAQ\u2010based multiplex quantitative proteomics"],"prefix":"10.1002","volume":"11","author":[{"given":"Linhong","family":"Jing","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carol E.","family":"Parker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Seo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Warren","family":"Hines","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nedyalka","family":"Dicheva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanbao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Debra","family":"Schwinn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geoffrey S.","family":"Ginsburg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2011,6,17]]},"reference":[{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1152\/physiolgenomics.00124.2002"},{"key":"e_1_2_6_3_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.106.179918"},{"key":"e_1_2_6_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(93)90184-E"},{"key":"e_1_2_6_5_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0507718102"},{"key":"e_1_2_6_6_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1411543"},{"key":"e_1_2_6_7_2","doi-asserted-by":"publisher","DOI":"10.1097\/00000441-200201000-00002"},{"key":"e_1_2_6_8_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.ATV.14.1.133"},{"key":"e_1_2_6_9_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.ATV.20.12.2587"},{"key":"e_1_2_6_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0092-8674(92)90362-G"},{"key":"e_1_2_6_11_2","first-page":"1160","article-title":"Proteomics for cancer biomarker discovery","volume":"48","author":"Srinivas P. 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