Multiplexed LC–ESI–MRM‐MS‐based Assay for Identification of Coronary Artery Disease Biomarkers in Human Plasma
Purpose A highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma. Experimental design The assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 p...
Saved in:
Published in | Proteomics. Clinical applications Vol. 13; no. 4; pp. e1700111 - n/a |
---|---|
Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
01.07.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Purpose
A highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma.
Experimental design
The assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow‐up.
Results
Extensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen‐like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO‐logistic score with high classification performance (cross‐validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87).
Conclusions and clinical relevance
If externally validated, the assay and identified biomarkers can improve CAD risk stratification. |
---|---|
AbstractList | A highly-multiplexed LC-ESI-multiple reaction monitoring-MS-based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma.
The assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow-up.
Extensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen-like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO-logistic score with high classification performance (cross-validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87).
If externally validated, the assay and identified biomarkers can improve CAD risk stratification. PurposeA highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma.Experimental designThe assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow‐up.ResultsExtensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen‐like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO‐logistic score with high classification performance (cross‐validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87).Conclusions and clinical relevanceIf externally validated, the assay and identified biomarkers can improve CAD risk stratification. Purpose A highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma. Experimental design The assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow‐up. Results Extensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen‐like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO‐logistic score with high classification performance (cross‐validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87). Conclusions and clinical relevance If externally validated, the assay and identified biomarkers can improve CAD risk stratification. A highly-multiplexed LC-ESI-multiple reaction monitoring-MS-based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma.PURPOSEA highly-multiplexed LC-ESI-multiple reaction monitoring-MS-based assay is developed for the identification of coronary artery disease (CAD) biomarkers in human plasma.The assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow-up.EXPERIMENTAL DESIGNThe assay is used to measure 107 stable isotope labeled peptide standards and native peptides from 64 putative biomarkers of cardiovascular diseases in tryptic digests of plasma from subjects with (n = 70) and without (n = 45) angiographic evidence of CAD and no subsequent cardiovascular mortality during follow-up.Extensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen-like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO-logistic score with high classification performance (cross-validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87).RESULTSExtensive computational and statistical analysis reveals six plasma proteins associated with CAD, namely apolipoprotein CII, C reactive protein, CD5 antigen-like, fibronectin, inter alpha trypsin inhibitor heavy chain H1, and protein S. The identified proteins are combined into a LASSO-logistic score with high classification performance (cross-validated area under the curve = 0.74). When combined with a separate score computed from markers currently used in the clinic with similar performance, the area under the receiver operating curve increases to 0.84. Similar results are observed in an independent set of subjects (n = 87).If externally validated, the assay and identified biomarkers can improve CAD risk stratification.CONCLUSIONS AND CLINICAL RELEVANCEIf externally validated, the assay and identified biomarkers can improve CAD risk stratification. |
Author | Hill, John S. Wilson‐McManus, Janet Anwar, Mohammad A. Francis, Gordon A. Dai, Darlene Liying Borchers, Christoph H McManus, Bruce M. Smith, Derek Cohen Freue, Gabriela V. |
Author_xml | – sequence: 1 givenname: Mohammad A. surname: Anwar fullname: Anwar, Mohammad A. organization: Molecular You Corporation – sequence: 2 givenname: Darlene Liying surname: Dai fullname: Dai, Darlene Liying organization: NCE CECR PROOF Centre of Excellence – sequence: 3 givenname: Janet surname: Wilson‐McManus fullname: Wilson‐McManus, Janet organization: NCE CECR PROOF Centre of Excellence – sequence: 4 givenname: Derek surname: Smith fullname: Smith, Derek organization: University of Victoria – sequence: 5 givenname: Gordon A. surname: Francis fullname: Francis, Gordon A. organization: University of British Columbia – sequence: 6 givenname: Christoph H orcidid: 0000-0003-2394-6512 surname: Borchers fullname: Borchers, Christoph H organization: University of Victoria – sequence: 7 givenname: Bruce M. surname: McManus fullname: McManus, Bruce M. organization: University of British Columbia – sequence: 8 givenname: John S. surname: Hill fullname: Hill, John S. organization: University of British Columbia – sequence: 9 givenname: Gabriela V. orcidid: 0000-0003-4526-0175 surname: Cohen Freue fullname: Cohen Freue, Gabriela V. email: gcohen@stat.ubc.ca organization: University of British Columbia |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30632678$$D View this record in MEDLINE/PubMed |
BookMark | eNqFkU1vEzEQhi1URD_gyhFZ4sIlwd_2HsNSaKREVC2cLdvxSi67drB3gdz6E5D4h_0luDTtoRLi4BlLft7xzLzH4CCm6AF4idEcI0TebrMzc4KwRAhj_AQcYSXITFHODh7uTByC41KuEOKMSPQMHFIkKBFSHYHv66kfw7b3P_0Grtqb69-nl8sa1xfrm-tf68sarCn1bVGK2cEuZbjc-DiGLjgzhhRh6mCbcoom7-Aij76m96H4KoLvQhpM_upzgSHCs2kwEZ73pgzmOXjamb74F_t8Ar58OP3cns1Wnz4u28Vq5qhQdNbZRijluLHSck9EIy2WTmLRqXpMZxE13FNrZcMoV9RhxpFF2DdcIM8YPQFv7upuc_o2-TLqIRTn-95En6aiCZYNFUQqWtHXj9CrNOVYu9OEcMWFJIhX6tWemuzgN3qbQx1xp-83WgF2B7icSsm-0y6Mfzc1ZhN6jZG-NU7fGqcfjKuy-SPZfeV_Cvb__Ai93_2H1ucX7YIgRukfN_ysWg |
CitedBy_id | crossref_primary_10_3892_ijmm_2020_4600 crossref_primary_10_1021_acs_jproteome_0c00118 crossref_primary_10_1177_0840470420904733 crossref_primary_10_1089_omi_2023_0278 crossref_primary_10_3390_molecules25040775 crossref_primary_10_1007_s00216_019_02047_y crossref_primary_10_1002_prca_201900095 crossref_primary_10_1097_TP_0000000000005241 crossref_primary_10_3389_fmed_2024_1432224 crossref_primary_10_3389_fcell_2021_734720 crossref_primary_10_3390_ijms242316832 |
Cites_doi | 10.1016/S0021-9258(18)53854-0 10.1214/15-EJS1035 10.1002/pmic.201100568 10.1016/j.clp.2006.06.005 10.1074/mcp.M110.002931 10.1158/0008-5472.CAN-07-2673 10.1161/circ.131.suppl_2.o29 10.1002/prca.200700086 10.1371/journal.pcbi.1002963 10.1016/j.psyneuen.2006.11.008 10.1016/0002-9149(90)90079-G 10.1111/j.1469-1809.2012.00731.x 10.1016/S1570-0232(03)00498-7 10.1016/S0140-6736(10)60834-3 10.1503/cmaj.050880 10.1214/10-STS330 10.1113/jphysiol.2004.080473 10.1074/mcp.M800540-MCP200 10.1161/hc0702.104126 10.1016/0002-9149(72)90624-8 10.1016/j.atherosclerosis.2014.10.016 10.1002/sim.6782 10.1111/j.2517-6161.1996.tb02080.x 10.1097/MOH.0b013e328309ec97 10.1056/NEJM199901143400207 10.1186/1471-2105-13-326 10.1093/eurheartj/ehr124 10.1016/j.jacl.2017.03.014 10.4065/84.10.917 10.1189/jlb.1212660 10.1161/CIRCULATIONAHA.105.537878 10.1186/1476-511X-11-53 10.1155/2014/709756 10.1074/jbc.274.51.36187 10.1056/NEJM200010193431602 10.1016/j.jacc.2009.11.050 10.1515/CCLM.2009.121 10.1016/S0140-6736(04)17018-9 10.1021/ac50036a020 10.1093/bioinformatics/bti623 10.1016/j.clinbiochem.2013.12.014 |
ContentType | Journal Article |
Copyright | 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
Copyright_xml | – notice: 2019 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim – notice: 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7T5 7TK 7TM 7TO 8FD FR3 H94 K9. P64 RC3 7X8 |
DOI | 10.1002/prca.201700111 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Immunology Abstracts Neurosciences Abstracts Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Technology Research Database Engineering Research Database AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) Biotechnology and BioEngineering Abstracts Genetics Abstracts MEDLINE - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Genetics Abstracts Oncogenes and Growth Factors Abstracts Technology Research Database Nucleic Acids Abstracts AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) Immunology Abstracts Engineering Research Database Neurosciences Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitleList | MEDLINE Genetics Abstracts MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Anatomy & Physiology |
EISSN | 1862-8354 |
EndPage | n/a |
ExternalDocumentID | 30632678 10_1002_prca_201700111 PRCA2043 |
Genre | article Clinical Trial Research Support, Non-U.S. Gov't Journal Article |
GrantInformation_xml | – fundername: Canadian Institutes of Health Research funderid: PJT 148883 – fundername: Natural Sciences and Engineering Research Council of Canada funderid: 22R09264 – fundername: CIHR grantid: PJT 148883 |
GroupedDBID | --- 05W 0R~ 123 1OC 33P 3SF 3WU 4.4 52U 52V 53G 8-1 8UM A00 AAESR AAEVG AAHHS AAHQN AAIPD AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCUV ABQWH ABXGK ACAHQ ACBWZ ACCFJ ACCZN ACGFS ACIWK ACMXC ACPOU ACPRK ACRPL ACXBN ACXQS ACYXJ ADBBV ADBTR ADEOM ADIZJ ADKYN ADMGS ADNMO ADZMN AEEZP AEIGN AEIMD AENEX AEQDE AEUYR AFBPY AFFPM AFGKR AFPWT AFRAH AFWVQ AHBTC AHMBA AIACR AITYG AIURR AIWBW AJBDE ALMA_UNASSIGNED_HOLDINGS AMBMR AMYDB ASPBG ATUGU AVWKF AZFZN AZVAB BDRZF BHBCM BNHUX BOGZA BRXPI CS3 DCZOG DR2 DRFUL DRMAN DRSTM DU5 EBD EBS EJD EMOBN F5P FEDTE G-S GODZA HF~ HGLYW HVGLF HZ~ IX1 KBYEO LATKE LAW LEEKS LH4 LITHE LOXES LUTES LW6 LYRES MEWTI MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM MY~ NNB O66 O9- P2W P4E PQQKQ RNS ROL SUPJJ SV3 W99 WBKPD WIH WIJ WIK WNSPC WOHZO WXSBR WYISQ WYJ XV2 ~S- AAYXX AGQPQ AGYGG CITATION CGR CUY CVF ECM EIF NPM 7T5 7TK 7TM 7TO 8FD AAMMB AEFGJ AGXDD AIDQK AIDYY FR3 H94 K9. P64 RC3 7X8 |
ID | FETCH-LOGICAL-c3683-fb9688c5ab7b5e2697b17c716f816fafb03a5e3bb7943583c1450b01e9560e443 |
IEDL.DBID | DR2 |
ISSN | 1862-8346 1862-8354 |
IngestDate | Fri Jul 11 04:40:57 EDT 2025 Fri Jul 25 09:24:52 EDT 2025 Thu Apr 03 07:08:46 EDT 2025 Tue Jul 01 02:14:14 EDT 2025 Thu Apr 24 22:51:46 EDT 2025 Wed Jan 22 16:39:44 EST 2025 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 4 |
Keywords | coronary artery disease proteomics classification biomarkers MRM-MS |
Language | English |
License | 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c3683-fb9688c5ab7b5e2697b17c716f816fafb03a5e3bb7943583c1450b01e9560e443 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 |
ORCID | 0000-0003-4526-0175 0000-0003-2394-6512 |
PMID | 30632678 |
PQID | 2258567205 |
PQPubID | 1016438 |
PageCount | 10 |
ParticipantIDs | proquest_miscellaneous_2179362783 proquest_journals_2258567205 pubmed_primary_30632678 crossref_citationtrail_10_1002_prca_201700111 crossref_primary_10_1002_prca_201700111 wiley_primary_10_1002_prca_201700111_PRCA2043 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | July 2019 2019-07-00 20190701 |
PublicationDateYYYYMMDD | 2019-07-01 |
PublicationDate_xml | – month: 07 year: 2019 text: July 2019 |
PublicationDecade | 2010 |
PublicationPlace | Germany |
PublicationPlace_xml | – name: Germany – name: Weinheim |
PublicationTitle | Proteomics. Clinical applications |
PublicationTitleAlternate | Proteomics Clin Appl |
PublicationYear | 2019 |
Publisher | Wiley Subscription Services, Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc |
References | 2016 1996; 35 58 2009; 47 2014; 237 2005; 111 2011 2003; 10 795 2006; 33 1999 1993 2008; 274 268 15 1978; 50 1999; 340 2000 2002; 343 105 2014; 47 2005; 21 2014; 2014 2009 2005; 84 563 2012; 13 2015; 9 2007; 32 2012; 12 2012; 11 1972; 29 2012; 76 2013; 9 1990; 65 2013; 59 2010; 25 2011 2010 2006; 32 55 174 2013; 2013 2004 2010; 364 376 2017; 11 2015; 131 2009; 8 2008; 68 2007; 1 2014; 95 e_1_2_7_5_2 e_1_2_7_6_1 e_1_2_7_5_1 e_1_2_7_4_1 e_1_2_7_2_2 e_1_2_7_3_1 e_1_2_7_9_2 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_18_1 e_1_2_7_17_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_1_1 e_1_2_7_12_3 e_1_2_7_14_1 e_1_2_7_12_2 e_1_2_7_13_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 e_1_2_7_26_1 e_1_2_7_26_2 e_1_2_7_28_1 e_1_2_7_29_1 Tibshirani R. (e_1_2_7_15_2) 1996; 58 e_1_2_7_30_1 e_1_2_7_25_1 e_1_2_7_31_1 e_1_2_7_24_1 e_1_2_7_32_1 e_1_2_7_23_1 Xu H. (e_1_2_7_33_1) 2013; 2013 e_1_2_7_22_1 e_1_2_7_34_1 e_1_2_7_21_1 e_1_2_7_34_2 e_1_2_7_20_1 e_1_2_7_34_3 Kubkova L. (e_1_2_7_27_1) 2013; 59 |
References_xml | – volume: 343 105 start-page: 1139 800 year: 2000 2002 publication-title: N. Engl. J. Med. Circulation – volume: 364 376 start-page: 937 112 year: 2004 2010 publication-title: Lancet Lancet – volume: 111 start-page: 3481 year: 2005 publication-title: Circulation – volume: 95 start-page: 509 year: 2014 publication-title: J. Leukoc. Biol. – volume: 13 start-page: 326 year: 2012 publication-title: BMC Bioinform – volume: 33 start-page: 729 year: 2006 publication-title: Clin. Perinatol. – volume: 10 795 start-page: 41 year: 2011 2003 publication-title: Mol. Cell. Proteomics J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. – volume: 32 55 174 start-page: 1918 1102 461 year: 2011 2010 2006 publication-title: Eur. Heart J. J. Am. Coll. Cardiol. CMAJ – volume: 9 year: 2013 publication-title: PLoS Comput. Biol. – volume: 131 year: 2015 publication-title: Circulation – volume: 25 start-page: 289 year: 2010 publication-title: Stat. Sci. – volume: 68 start-page: 3185 year: 2008 publication-title: Cancer Res. – volume: 50 start-page: 2017 year: 1978 publication-title: Anal. Chem. – volume: 84 563 start-page: 917 23 year: 2009 2005 publication-title: Mayo Clin. Proc. J. Physiol. – volume: 1 start-page: 983 year: 2007 publication-title: Proteomics Clin. Appl. – volume: 11 start-page: 53 year: 2012 publication-title: Lipids Health Dis. – volume: 35 58 start-page: 1159 267 year: 2016 1996 publication-title: Stat. Med. J. R. Stat Soc. Ser. B – volume: 340 start-page: 115 year: 1999 publication-title: N. Engl. J. Med. – volume: 29 start-page: 154 year: 1972 publication-title: Am. J. Cardiol. – volume: 65 start-page: 168 year: 1990 publication-title: Am. J. Cardiol. – volume: 2014 start-page: 709756 year: 2014 publication-title: Biomed. Res. Int. – volume: 11 start-page: 682 year: 2017 publication-title: J. Clin. Lipidol. – volume: 47 start-page: 315 year: 2014 publication-title: Clin. Biochem. – volume: 76 start-page: 435 year: 2012 publication-title: Ann. Hum. Genet. – volume: 2013 start-page: 360149 year: 2013 publication-title: Evid. Based Complement. Alternat. Med. – volume: 59 start-page: 981 year: 2013 publication-title: Vnitr. Lek. – volume: 237 start-page: 597 year: 2014 publication-title: Atherosclerosis – volume: 12 start-page: 1222 year: 2012 publication-title: Proteomics – volume: 8 start-page: 1860 year: 2009 publication-title: Mol. Cell. Proteomics – volume: 21 start-page: 3940 year: 2005 publication-title: Bioinformatics – volume: 47 start-page: 596 year: 2009 publication-title: Clin. Chem. Lab. Med. – volume: 9 start-page: 1583 year: 2015 publication-title: Electron. J. Stat. – volume: 32 start-page: 140 year: 2007 publication-title: Psychoneuroendocrinology – volume: 274 268 15 start-page: 36187 2872 529 year: 1999 1993 2008 publication-title: J. Biol. Chem. J. Biol. Chem. Curr. Opin. Hematol. – ident: e_1_2_7_34_2 doi: 10.1016/S0021-9258(18)53854-0 – ident: e_1_2_7_18_1 doi: 10.1214/15-EJS1035 – ident: e_1_2_7_10_1 doi: 10.1002/pmic.201100568 – ident: e_1_2_7_14_1 doi: 10.1016/j.clp.2006.06.005 – ident: e_1_2_7_9_1 doi: 10.1074/mcp.M110.002931 – ident: e_1_2_7_31_1 doi: 10.1158/0008-5472.CAN-07-2673 – ident: e_1_2_7_1_1 doi: 10.1161/circ.131.suppl_2.o29 – ident: e_1_2_7_7_1 doi: 10.1002/prca.200700086 – ident: e_1_2_7_6_1 doi: 10.1371/journal.pcbi.1002963 – ident: e_1_2_7_21_1 doi: 10.1016/j.psyneuen.2006.11.008 – ident: e_1_2_7_25_1 doi: 10.1016/0002-9149(90)90079-G – ident: e_1_2_7_19_1 doi: 10.1111/j.1469-1809.2012.00731.x – ident: e_1_2_7_9_2 doi: 10.1016/S1570-0232(03)00498-7 – ident: e_1_2_7_2_2 doi: 10.1016/S0140-6736(10)60834-3 – ident: e_1_2_7_12_3 doi: 10.1503/cmaj.050880 – ident: e_1_2_7_16_1 doi: 10.1214/10-STS330 – ident: e_1_2_7_5_2 doi: 10.1113/jphysiol.2004.080473 – ident: e_1_2_7_13_1 doi: 10.1074/mcp.M800540-MCP200 – ident: e_1_2_7_26_2 doi: 10.1161/hc0702.104126 – ident: e_1_2_7_4_1 doi: 10.1016/0002-9149(72)90624-8 – ident: e_1_2_7_28_1 doi: 10.1016/j.atherosclerosis.2014.10.016 – ident: e_1_2_7_15_1 doi: 10.1002/sim.6782 – volume: 58 start-page: 267 year: 1996 ident: e_1_2_7_15_2 publication-title: J. R. Stat Soc. Ser. B doi: 10.1111/j.2517-6161.1996.tb02080.x – ident: e_1_2_7_34_3 doi: 10.1097/MOH.0b013e328309ec97 – ident: e_1_2_7_24_1 doi: 10.1056/NEJM199901143400207 – volume: 59 start-page: 981 year: 2013 ident: e_1_2_7_27_1 publication-title: Vnitr. Lek. – ident: e_1_2_7_11_1 doi: 10.1186/1471-2105-13-326 – ident: e_1_2_7_12_1 doi: 10.1093/eurheartj/ehr124 – ident: e_1_2_7_32_1 doi: 10.1016/j.jacl.2017.03.014 – volume: 2013 start-page: 360149 year: 2013 ident: e_1_2_7_33_1 publication-title: Evid. Based Complement. Alternat. Med. – ident: e_1_2_7_5_1 doi: 10.4065/84.10.917 – ident: e_1_2_7_30_1 doi: 10.1189/jlb.1212660 – ident: e_1_2_7_3_1 doi: 10.1161/CIRCULATIONAHA.105.537878 – ident: e_1_2_7_23_1 doi: 10.1186/1476-511X-11-53 – ident: e_1_2_7_29_1 doi: 10.1155/2014/709756 – ident: e_1_2_7_34_1 doi: 10.1074/jbc.274.51.36187 – ident: e_1_2_7_26_1 doi: 10.1056/NEJM200010193431602 – ident: e_1_2_7_12_2 doi: 10.1016/j.jacc.2009.11.050 – ident: e_1_2_7_22_1 doi: 10.1515/CCLM.2009.121 – ident: e_1_2_7_2_1 doi: 10.1016/S0140-6736(04)17018-9 – ident: e_1_2_7_8_1 doi: 10.1021/ac50036a020 – ident: e_1_2_7_17_1 doi: 10.1093/bioinformatics/bti623 – ident: e_1_2_7_20_1 doi: 10.1016/j.clinbiochem.2013.12.014 |
SSID | ssj0054270 |
Score | 2.276522 |
Snippet | Purpose
A highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers... A highly-multiplexed LC-ESI-multiple reaction monitoring-MS-based assay is developed for the identification of coronary artery disease (CAD) biomarkers in... PurposeA highly‐multiplexed LC–ESI–multiple reaction monitoring‐MS‐based assay is developed for the identification of coronary artery disease (CAD) biomarkers... |
SourceID | proquest pubmed crossref wiley |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
StartPage | e1700111 |
SubjectTerms | Antigens Apolipoprotein CII Assaying Biomarkers Blood plasma Blood Proteins - metabolism C-reactive protein Cardiovascular disease Cardiovascular diseases CD5 antigen Chromatography, Liquid classification Computer applications Coronary artery Coronary artery disease Coronary Artery Disease - blood Coronary vessels Design of experiments Female Fibronectin Follow-Up Studies Heart diseases Humans Male Mass Spectrometry Middle Aged MRM‐MS Multiplexing Peptides Peptides - blood Plasma Plasma proteins Protein S Proteins Proteomics Statistical analysis Trypsin Trypsin inhibitors |
Title | Multiplexed LC–ESI–MRM‐MS‐based Assay for Identification of Coronary Artery Disease Biomarkers in Human Plasma |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fprca.201700111 https://www.ncbi.nlm.nih.gov/pubmed/30632678 https://www.proquest.com/docview/2258567205 https://www.proquest.com/docview/2179362783 |
Volume | 13 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZQT73wKo9tCzISgpPbTfyIfVyWVgWxqNpSqbfIdhypgs1W-0CUU39CJf5hfwkzdjawIIQQhzhS4sgTe8b-bM98JuS5UyrXnnOmCl8wUTnDjM0N80FoibGUhY_eFu_V0al4eybPforiT_wQ3YIbWkbsr9HArZvv_yANvZh55A1CfrksBveiwxaionHHHyVFHk-LywC2M82FWrE29vP99c_XR6XfoOY6co1Dz-EdYldCJ4-Tj3vLhdvzX3_hc_yfv7pLbre4lA6SIt0jt0Jzn2wNGpiTTy7pCxo9ReMS_Bb5PGq9EL-Eir4b3lx9Ozh5A-loPLq5uh6dQIKDY0Wh7e0lBVhMUzxw3S4Q0mlNh0idAHJikQFur9NOEX11Pp2gy9BsTs8bGvcY6DFA_Il9QE4PDz4Mj1h7fgPzXGnOameU1l5aVzgZcmUKl4FGZKrWcNna9bmVgTuHJHVSc58JieuyAedsQQj-kGw00yY8JtQZU3Er-nXFAcDVxhlbBy1VUKrKfKF7hK3ar_QtuTmesfGpTLTMeYkVW3YV2yMvu_wXidbjjzl3V-pQtuY9L6EThMKLvC975Fn3GgwTd1tsE6ZLyINdn8KDTHrkUVKjriiYpwFsjmJHZfiLDOXxeDjAIObtf8y_QzbhoUnuxbtkYzFbhicAohbuaTSU72nrFp4 |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZQOcCFV4EuLWAkBKe0m_gR-7hsW21hU1XbVuIW2Y4jVbDZartbUU79CUj8w_4SZpwHWhBCiEOSQyayk8zYn8cz3xDy2kqZKMdYJFOXRrywOtIm0ZHzXAnMpUxdiLY4lKNT_v6jaKMJMRem5ofoHG5oGWG8RgNHh_TOT9bQ87lD4iAkmIsxu_c2lvVG-vzdSccgJXgS6sXFANwjxbhseRv7yc7q86vz0m9gcxW7hsln_z6xbbfrmJNP28uF3XZff2F0_K_3ekDuNdCUDmpdekhu-eoRWR9UsCyfXtE3NASLBi_8OrnMmkDEL76g4-HN9fe94wM4Z5Ps5vpbdgwnnB8LCr_fXFFAxrROCS4bHyGdlXSI7AnQUWzSw2W33iyi785mU4waml_Qs4qGbQZ6BCh_ah6T0_29k-Eoako4RI5JxaLSaqmUE8amVvhE6tTGoBSxLBUcprR9ZoRn1iJPnVDMxVyga9bjss1zzp6QtWpW-Q1CrdYFM7xfFgwwXKmtNqVXQnopi9ilqkei9gfmruE3xzIbn_OamTnJ8cPm3Yftkbed_HnN7PFHya1WH_LGwi9yGAeh8TTpix551d0G28QNF1P52RJkcPSTWMukR57WetQ1BUs1QM6h20Eb_tKH_GgyHGAe87N_lH9J7oxOsnE-Pjj8sEnugoCuo423yNpivvTPAVMt7ItgNT8Awlsaug |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bb9MwFLbQkBAv3MalY4CREDxlS-JL7MfSrtpgnaqOSXuLbMeRJmhade3EeNpPQOIf7pdwjpMGCkII8RDnwY7s2OfYn-1zvkPIKytlqhxjkcxcFvHC6kibVEfOcyXQlzJzwdriSO6f8Hen4vQnL_6aH6I9cEPNCPM1KvisKHd_kIbO5g55g5BfLkHn3ptcxhqDN_THLYGU4GkIF5cAbo8U43JF2xinu-vfry9Lv2HNdega1p7BXWJWra5NTj7uLBd2x335hdDxf37rHrnTAFParSXpPrnhqwdks1vBpnxySV_TYCoazuA3ycWwMUP87At62Lu--rZ3fADpcDy8vvo6PIYEV8eCwuCbSwq4mNYOwWVzQkinJe0hdwK0E6v08OrXV0X07dl0gjZD83N6VtFwyUBHgPEn5iE5Gex96O1HTQCHyDGpWFRaLZVywtjMCp9KndkERCKRpYLHlDZmRnhmLbLUCcVcwgUezHrctHnO2SOyUU0r_4RQq3XBDI_LggGCK7XVpvRKSC9lkbhMdUi0Gr_cNezmGGTjU17zMqc5dmzedmyHvGnLz2pejz-W3F6JQ97o93kOsyBUnqWx6JCXbTZoJl63mMpPl1AG5z6JkUw65HEtRm1VsFED3ByaHYThL23IR-NeF72Yt_6x_Atya9Qf5IcHR--fktuQr2tT422ysZgv_TMAVAv7POjMd2CdGWk |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multiplexed+LC%E2%80%93ESI%E2%80%93MRM%E2%80%90MS%E2%80%90based+Assay+for+Identification+of+Coronary+Artery+Disease+Biomarkers+in+Human+Plasma&rft.jtitle=Proteomics.+Clinical+applications&rft.au=Anwar%2C+Mohammad+A.&rft.au=Dai%2C+Darlene+Liying&rft.au=Wilson%E2%80%90McManus%2C+Janet&rft.au=Smith%2C+Derek&rft.date=2019-07-01&rft.issn=1862-8346&rft.eissn=1862-8354&rft.volume=13&rft.issue=4&rft.epage=n%2Fa&rft_id=info:doi/10.1002%2Fprca.201700111&rft.externalDBID=10.1002%252Fprca.201700111&rft.externalDocID=PRCA2043 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1862-8346&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1862-8346&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1862-8346&client=summon |