Metabolic Predictors of Incident Coronary Heart Disease in Women
BACKGROUND:Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with CHD in women than men, limited data are available for women. METHODS:We applied a liquid chromatography–tandem mass spectrometry m...
Saved in:
| Published in | Circulation (New York, N.Y.) Vol. 137; no. 8; pp. 841 - 853 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
by the American College of Cardiology Foundation and the American Heart Association, Inc
20.02.2018
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | BACKGROUND:Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with CHD in women than men, limited data are available for women.
METHODS:We applied a liquid chromatography–tandem mass spectrometry metabolomics platform to measure 371 metabolites in a discovery set of postmenopausal women (472 incident CHD cases, 472 controls) with validation in an independent set of postmenopausal women (312 incident CHD cases, 315 controls).
RESULTS:Eight metabolites, primarily oxidized lipids, were significantly dysregulated in cases after the adjustment for matching and CHD risk factors in both the discovery and validation data sets. One oxidized phospholipid, C34:2 hydroxy-phosphatidylcholine, remained associated with CHD after further adjustment for other validated metabolites. Subjects with C34:2 hydroxy-phosphatidylcholine levels in the highest quartile had a 4.7-fold increase in CHD odds in comparison with the lowest quartile; C34:2 hydroxy-phosphatidylcholine also significantly improved the area under the curve (P<0.01) for CHD. The C34:2 hydroxy-phosphatidylcholine findings were replicated in a third replication data set of 980 men and women (230 cardiovascular events) with a stronger association observed in women.
CONCLUSIONS:These data replicate known metabolite predictors, identify novel markers, and support the relationship between lipid oxidation and subsequent CHD. |
|---|---|
| AbstractList | Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with CHD in women than men, limited data are available for women.
We applied a liquid chromatography-tandem mass spectrometry metabolomics platform to measure 371 metabolites in a discovery set of postmenopausal women (472 incident CHD cases, 472 controls) with validation in an independent set of postmenopausal women (312 incident CHD cases, 315 controls).
Eight metabolites, primarily oxidized lipids, were significantly dysregulated in cases after the adjustment for matching and CHD risk factors in both the discovery and validation data sets. One oxidized phospholipid, C34:2 hydroxy-phosphatidylcholine, remained associated with CHD after further adjustment for other validated metabolites. Subjects with C34:2 hydroxy-phosphatidylcholine levels in the highest quartile had a 4.7-fold increase in CHD odds in comparison with the lowest quartile; C34:2 hydroxy-phosphatidylcholine also significantly improved the area under the curve (
<0.01) for CHD. The C34:2 hydroxy-phosphatidylcholine findings were replicated in a third replication data set of 980 men and women (230 cardiovascular events) with a stronger association observed in women.
These data replicate known metabolite predictors, identify novel markers, and support the relationship between lipid oxidation and subsequent CHD. BACKGROUND:Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with CHD in women than men, limited data are available for women. METHODS:We applied a liquid chromatography–tandem mass spectrometry metabolomics platform to measure 371 metabolites in a discovery set of postmenopausal women (472 incident CHD cases, 472 controls) with validation in an independent set of postmenopausal women (312 incident CHD cases, 315 controls). RESULTS:Eight metabolites, primarily oxidized lipids, were significantly dysregulated in cases after the adjustment for matching and CHD risk factors in both the discovery and validation data sets. One oxidized phospholipid, C34:2 hydroxy-phosphatidylcholine, remained associated with CHD after further adjustment for other validated metabolites. Subjects with C34:2 hydroxy-phosphatidylcholine levels in the highest quartile had a 4.7-fold increase in CHD odds in comparison with the lowest quartile; C34:2 hydroxy-phosphatidylcholine also significantly improved the area under the curve (P<0.01) for CHD. The C34:2 hydroxy-phosphatidylcholine findings were replicated in a third replication data set of 980 men and women (230 cardiovascular events) with a stronger association observed in women. CONCLUSIONS:These data replicate known metabolite predictors, identify novel markers, and support the relationship between lipid oxidation and subsequent CHD. |
| Author | Martínez-González, Miguel A Estruch, Ramon Albert, Christine M Tinker, Lesley F Deik, Amy A Paynter, Nina P Balasubramanian, Raji Wang, Dong D Scott, Justin Bullock, Kevin Gopal, Shuba Manson, JoAnn E Pierce, Kerry A Cook, Nancy R Clish, Clary B Rexrode, Kathryn M Giulianini, Franco |
| AuthorAffiliation | Division of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.) Division of Women’s Health (K.M.R.), Brigham and Women’s Hospital, Boston, MA Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst (R.B.) Department of Epidemiology (D.D.W., J.E.M., N.R.C.) Department of Nutrition (D.D.W., M.A.M.-G.), Harvard T.H. Chan School of Public Health, Boston, MA Fred Hutchinson Cancer Research Center, Seattle, WA (L.F.T.) Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.) Department of Preventive Medicine and Public Health, University of Navarra Medical School, Pamplona, Spain (M.A.M.-G.) Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, University of Barcelona, Spain (R.E.) |
| AuthorAffiliation_xml | – name: Division of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.) Division of Women’s Health (K.M.R.), Brigham and Women’s Hospital, Boston, MA Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst (R.B.) Department of Epidemiology (D.D.W., J.E.M., N.R.C.) Department of Nutrition (D.D.W., M.A.M.-G.), Harvard T.H. Chan School of Public Health, Boston, MA Fred Hutchinson Cancer Research Center, Seattle, WA (L.F.T.) Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.) Department of Preventive Medicine and Public Health, University of Navarra Medical School, Pamplona, Spain (M.A.M.-G.) Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, University of Barcelona, Spain (R.E.) – name: 7 Department of Preventive Medicine & Public Health, University of Navarra Medical School, Pamplona, Spain – name: 2 Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA – name: 3 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA – name: 6 Broad Institute of MIT and Harvard, Cambridge, MA – name: 8 Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, University of Barcelona, Barcelona, Spain – name: 4 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA – name: 9 Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA – name: 1 Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA – name: 5 Fred Hutchinson Cancer Research Center, Seattle, WA |
| Author_xml | – sequence: 1 givenname: Nina surname: Paynter middlename: P fullname: Paynter, Nina P organization: Division of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.) Division of Women’s Health (K.M.R.), Brigham and Women’s Hospital, Boston, MA Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst (R.B.) Department of Epidemiology (D.D.W., J.E.M., N.R.C.) Department of Nutrition (D.D.W., M.A.M.-G.), Harvard T.H. Chan School of Public Health, Boston, MA Fred Hutchinson Cancer Research Center, Seattle, WA (L.F.T.) Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.) Department of Preventive Medicine and Public Health, University of Navarra Medical School, Pamplona, Spain (M.A.M.-G.) Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, University of Barcelona, Spain (R.E.) – sequence: 2 givenname: Raji surname: Balasubramanian fullname: Balasubramanian, Raji – sequence: 3 givenname: Franco surname: Giulianini fullname: Giulianini, Franco – sequence: 4 givenname: Dong surname: Wang middlename: D fullname: Wang, Dong D – sequence: 5 givenname: Lesley surname: Tinker middlename: F fullname: Tinker, Lesley F – sequence: 6 givenname: Shuba surname: Gopal fullname: Gopal, Shuba – sequence: 7 givenname: Amy surname: Deik middlename: A fullname: Deik, Amy A – sequence: 8 givenname: Kevin surname: Bullock fullname: Bullock, Kevin – sequence: 9 givenname: Kerry surname: Pierce middlename: A fullname: Pierce, Kerry A – sequence: 10 givenname: Justin surname: Scott fullname: Scott, Justin – sequence: 11 givenname: Miguel surname: Martínez-González middlename: A fullname: Martínez-González, Miguel A – sequence: 12 givenname: Ramon surname: Estruch fullname: Estruch, Ramon – sequence: 13 givenname: JoAnn surname: Manson middlename: E fullname: Manson, JoAnn E – sequence: 14 givenname: Nancy surname: Cook middlename: R fullname: Cook, Nancy R – sequence: 15 givenname: Christine surname: Albert middlename: M fullname: Albert, Christine M – sequence: 16 givenname: Clary surname: Clish middlename: B fullname: Clish, Clary B – sequence: 17 givenname: Kathryn surname: Rexrode middlename: M fullname: Rexrode, Kathryn M |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29459470$$D View this record in MEDLINE/PubMed |
| BookMark | eNpVkF9P2zAUxa0JtLZsX2EKHyBw_S-2XyaqsNFKHSAE2qPlOjc0LI2RHVbt28-orBpPto_POffqNyNHQxiQkFMKZ5RW9Lxe3tUPq_n98uZ6vphnTZ0BM6LSH8iUSiZKIbk5IlMAMKXijE3ILKWn_Ky4kh_JJJulEQqm5OIHjm4d-s4XtxGbzo8hpiK0xXLwXYPDWNQhhsHFP8UCXRyLyy6hS1h0Q_EzbHH4RI5b1yf8_HaekIfv3-7rRbm6uVrW81XpJVBeOu8ap9cUpdK-asGI1jPZyHxDRw1oRlWF0rXcOK1bAeAViMYA58xRRH5Cvu57n1_WW2x8Xi263j7HbpuXs8F19v3P0G3sY_htpZaCapULzL7Ax5BSxPaQpWBfsdr3WLOm7B5rzn75f_gh-Y9jNoi9YRf6EWP61b_sMNoNun7c2AweOFBVMqAaGAMos0I5_wuYyYee |
| CitedBy_id | crossref_primary_10_1038_s41598_022_26321_9 crossref_primary_10_1007_s00125_021_05641_x crossref_primary_10_1186_s12933_019_0958_2 crossref_primary_10_1039_C9RA05526F crossref_primary_10_1186_s12866_022_02495_0 crossref_primary_10_1007_s11306_019_1518_1 crossref_primary_10_1093_cvr_cvad147 crossref_primary_10_1161_HYPERTENSIONAHA_123_21144 crossref_primary_10_1007_s11356_020_11677_0 crossref_primary_10_1161_JAHA_119_013522 crossref_primary_10_1155_2022_3900828 crossref_primary_10_1186_s12916_022_02711_8 crossref_primary_10_1186_s12933_023_01912_6 crossref_primary_10_1002_advs_202003893 crossref_primary_10_1016_j_msard_2019_03_006 crossref_primary_10_1093_ije_dyz211 crossref_primary_10_3390_metabo9050083 crossref_primary_10_1210_jc_2018_01000 crossref_primary_10_1093_eurheartj_ehaa209 crossref_primary_10_1038_s41467_023_41515_z crossref_primary_10_1016_j_chroma_2020_461233 crossref_primary_10_1212_WNL_0000000000007401 crossref_primary_10_1093_jnci_djz195 crossref_primary_10_2174_1570161121666230510141338 crossref_primary_10_3390_ijms22031383 crossref_primary_10_1001_jamacardio_2019_4025 crossref_primary_10_1016_j_cmet_2019_06_018 crossref_primary_10_1038_s41416_022_01873_9 crossref_primary_10_1212_WNL_0000000000013129 crossref_primary_10_1038_s41380_020_00870_9 crossref_primary_10_1007_s10654_024_01111_x crossref_primary_10_1093_ofid_ofab483 crossref_primary_10_3389_fcvm_2021_788062 crossref_primary_10_1016_j_jare_2023_12_009 crossref_primary_10_1186_s12933_023_02066_1 crossref_primary_10_1007_s11357_024_01127_x crossref_primary_10_1093_rheumatology_keaa125 crossref_primary_10_3390_nu16121972 crossref_primary_10_1016_j_medj_2024_01_010 crossref_primary_10_1093_jn_nxaa374 crossref_primary_10_1093_jn_nxz300 crossref_primary_10_1161_ATVBAHA_121_317276 crossref_primary_10_1039_D0FO01770A crossref_primary_10_3389_fimmu_2020_551758 crossref_primary_10_1002_dmrr_3763 crossref_primary_10_3389_fendo_2020_00534 crossref_primary_10_3390_metabo10040151 crossref_primary_10_3390_metabo11090621 crossref_primary_10_1038_s41467_023_38466_w crossref_primary_10_1016_j_biopha_2024_116305 crossref_primary_10_3389_fmolb_2024_1379631 crossref_primary_10_1016_j_ajcnut_2024_05_010 crossref_primary_10_2337_dc20_0800 crossref_primary_10_3233_JPD_191896 crossref_primary_10_1212_WNL_0000000000006669 crossref_primary_10_1080_08958378_2020_1845257 crossref_primary_10_1161_CIRCHEARTFAILURE_120_007275 crossref_primary_10_1146_annurev_med_042418_010924 crossref_primary_10_1016_j_phymed_2023_154749 crossref_primary_10_1002_mnfr_202200145 crossref_primary_10_1136_bmjdrc_2020_001229 crossref_primary_10_1016_j_atherosclerosis_2022_04_026 crossref_primary_10_1161_CIRCRESAHA_122_321700 crossref_primary_10_1053_j_gastro_2022_03_004 crossref_primary_10_1373_clinchem_2018_288720 crossref_primary_10_1172_JCI141380 crossref_primary_10_3390_metabo10040163 crossref_primary_10_3390_nu14050978 crossref_primary_10_1001_jamacardio_2021_4925 crossref_primary_10_1038_s41586_020_2732_8 crossref_primary_10_3390_metabo9070145 crossref_primary_10_1038_s41586_018_0749_z crossref_primary_10_3390_nu15173801 crossref_primary_10_1016_j_ajcnut_2023_01_001 crossref_primary_10_3390_metabo11070460 crossref_primary_10_1186_s12967_022_03785_x crossref_primary_10_2337_db19_0236 crossref_primary_10_1136_gutjnl_2021_324053 crossref_primary_10_1136_gutjnl_2023_330410 crossref_primary_10_1158_1055_9965_EPI_21_0837 crossref_primary_10_1172_JCI131190 crossref_primary_10_3389_fphar_2023_1203087 crossref_primary_10_3390_metabo10030099 crossref_primary_10_3390_metabo9060120 crossref_primary_10_1093_ajcn_nqac139 crossref_primary_10_1016_j_numecd_2019_10_011 crossref_primary_10_3390_metabo9090179 crossref_primary_10_1093_ajcn_nqab047 crossref_primary_10_1016_j_clnu_2019_06_010 crossref_primary_10_1097_HCO_0000000000000552 crossref_primary_10_1016_j_psyneuen_2021_105420 crossref_primary_10_1016_j_jstrokecerebrovasdis_2022_106320 crossref_primary_10_1016_j_jacc_2022_05_016 crossref_primary_10_1038_s41523_021_00262_4 crossref_primary_10_3389_fcvm_2021_767692 crossref_primary_10_1002_oby_23549 crossref_primary_10_1161_CIRCRESAHA_121_320134 crossref_primary_10_1016_j_jacc_2019_11_060 crossref_primary_10_1007_s00018_020_03715_4 crossref_primary_10_1016_j_fertnstert_2022_02_012 crossref_primary_10_2337_db22_0033 crossref_primary_10_3390_cancers15061756 crossref_primary_10_1161_CIRCGEN_118_002182 crossref_primary_10_3390_metabo13060744 crossref_primary_10_1093_ajcn_nqab053 crossref_primary_10_1080_1354750X_2020_1716073 crossref_primary_10_1016_j_clnesp_2023_02_017 crossref_primary_10_1093_jncics_pkab059 crossref_primary_10_4330_wjc_v13_i6_163 crossref_primary_10_1016_j_bbi_2023_08_010 crossref_primary_10_1016_j_cmet_2023_03_018 crossref_primary_10_1161_JAHA_122_028540 crossref_primary_10_1158_1055_9965_EPI_21_1023 crossref_primary_10_3390_ijms24010270 crossref_primary_10_1016_j_cmet_2023_03_015 crossref_primary_10_1096_fj_201802842RR crossref_primary_10_1161_JAHA_123_031825 crossref_primary_10_3389_fmolb_2023_1279645 crossref_primary_10_1007_s11357_021_00382_6 crossref_primary_10_1016_j_tru_2020_100011 crossref_primary_10_1016_j_envint_2021_106976 crossref_primary_10_1093_ajcn_nqaa131 crossref_primary_10_1093_ajcn_nqab188 crossref_primary_10_1161_JAHA_118_010317 crossref_primary_10_1210_clinem_dgab011 crossref_primary_10_1161_CIRCULATIONAHA_120_050281 crossref_primary_10_4018_IJBDAH_2018070101 crossref_primary_10_1161_ATVBAHA_118_312236 crossref_primary_10_3389_fphys_2023_1123692 crossref_primary_10_1161_CIRCULATIONAHA_118_037487 crossref_primary_10_1038_s41581_019_0113_z crossref_primary_10_1007_s00125_022_05692_8 crossref_primary_10_1093_ajcn_nqab238 crossref_primary_10_1016_j_atherosclerosis_2023_117265 crossref_primary_10_1016_j_jhazmat_2024_134870 crossref_primary_10_1186_s12933_023_02111_z crossref_primary_10_3389_fphys_2021_775135 crossref_primary_10_1097_PSY_0000000000001088 crossref_primary_10_3390_metabo12050372 crossref_primary_10_1016_j_atherosclerosis_2019_07_018 crossref_primary_10_1007_s00125_023_06021_3 crossref_primary_10_3390_metabo11050306 crossref_primary_10_7554_eLife_90579_3 crossref_primary_10_7554_eLife_90579 crossref_primary_10_37990_medr_1011924 crossref_primary_10_1001_jamaoto_2023_0052 crossref_primary_10_1093_ije_dyy234 crossref_primary_10_1161_CIRCGEN_119_002977 crossref_primary_10_1002_ehf2_13274 crossref_primary_10_1093_eurjpc_zwad160 crossref_primary_10_1093_ije_dyy198 crossref_primary_10_1001_jamacardio_2019_4130 crossref_primary_10_1186_s40168_023_01566_2 crossref_primary_10_1371_journal_pone_0240764 |
| Cites_doi | 10.1161/circulationaha.114.013116 10.1194/jlr.M061697 10.1001/jama.288.3.321 10.1016/S0895-4356(99)00102-X 10.1016/j.csda.2006.12.028 10.1001/jama.2013.276305 10.1016/j.ahj.2012.02.005 10.1093/ije/dyq250 10.1371/journal.pgen.1004801 10.1001/jama.288.8.980 10.1016/j.bbalip.2011.06.007 10.1373/clinchem.2015.251710 10.1093/biomet/93.3.491 10.1093/eurheartj/ehs424 10.1373/clinchem.2011.165134 10.1007/s11306-015-0829-0 10.1161/CIRCRESAHA.111.256859 10.1016/S0197-2456(97)00078-0 10.1093/ageing/afs074 10.1056/NEJMc1306659 10.1093/biomet/73.1.1 10.1161/CIR.0000000000000343 10.1136/bmj.i969 10.1016/S0140-6736(14)60040-4 10.1161/CIRCGENETICS.109.852814 10.1038/ncomms5708 10.1161/CIRCULATIONAHA.116.023233 10.1038/ncomms7791 10.1161/CIRCULATIONAHA.111.067827 10.1111/biom.12113 10.1038/nature09922 10.1016/j.redox.2017.04.032 10.1371/journal.pgen.1002215 10.1161/CIRCGENETICS.110.959098 10.1038/nm.2307 10.1016/j.atherosclerosis.2013.10.026 10.1016/j.jacc.2005.01.072 10.1016/j.ahj.2014.01.019 |
| ContentType | Journal Article |
| Copyright | 2018 by the American College of Cardiology Foundation and the American Heart Association, Inc. 2018 American Heart Association, Inc. |
| Copyright_xml | – notice: 2018 by the American College of Cardiology Foundation and the American Heart Association, Inc. – notice: 2018 American Heart Association, Inc. |
| DBID | CGR CUY CVF ECM EIF NPM AAYXX CITATION 5PM |
| DOI | 10.1161/CIRCULATIONAHA.117.029468 |
| DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed CrossRef PubMed Central (Full Participant titles) |
| DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) CrossRef |
| DatabaseTitleList | MEDLINE |
| 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 | Medicine Anatomy & Physiology |
| EISSN | 1524-4539 |
| EndPage | 853 |
| ExternalDocumentID | 10_1161_CIRCULATIONAHA_117_029468 29459470 00003017-201802200-00013 |
| Genre | Multicenter Study Clinical Trial Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: NHLBI NIH HHS grantid: HHSN268201600018C – fundername: NHLBI NIH HHS grantid: HHSN268201600003C – fundername: NHLBI NIH HHS grantid: HHSN268201600004C – fundername: NHLBI NIH HHS grantid: HHSN268201600002C – fundername: NHLBI NIH HHS grantid: HHSN268201300008C – fundername: NHLBI NIH HHS grantid: HHSN268201600001C – fundername: NIDDK NIH HHS grantid: P30 DK040561 |
| GroupedDBID | - 01R 0R 1J1 29B 2WC 40H 4Q1 4Q2 4Q3 53G 5GY 5RE 5VS 71W 77Y 7O AAAXR AAGIX AAMOA AAMTA AAPBV AAQKA AARTV AASXQ AAWTL AAXQO ABASU ABDIG ABFLS ABOCM ABPMR ABPTK ABQRW ABZAD ACDDN ACEWG ACGFS ACRKK ACWDW ACWRI ADBBV ADCYY AE3 AENEX AFCHL AFDTB AFUWQ AHMBA AHVBC AIJEX AJIOK ALMA_UNASSIGNED_HOLDINGS ALMTX AMJPA AMKUR ASPBG AVWKF AWKKM AYCSE AZFZN BAWUL BOYCO BQLVK BYPQX C45 CS3 DIK DIWNM DU5 E3Z EBS EJD EX3 F2K F2L F2M F2N F5P GQDEL GX1 H0 H1 HZ IKREB IKYAY IN IPNFZ JF9 JG8 JK3 K8S KD2 KMI KQ8 L-C L7B N9A N~7 N~B O9- OAG OAH OBH OCB ODA ODMTH OGEVE OJAPA OK1 OL1 OLG OLH OLU OLV OLW OLY OLZ OPUJH OVD OVDNE OVIDH OVLEI OVOZU OWW OWY OXXIT P2P PQEST PQQKQ RAH RHF RIG RLZ S4R S4S TEORI TR2 TSPGW UPT V2I W2D WH7 WOQ WOW X3V X3W XZ YZZ Z2 ZA5 ZY1 --- .-D .3C .XZ .Z2 0R~ 0ZK 18M 2FS 354 6PF 7O~ AAAAV AAHPQ AAIQE AAJCS AASCR AASOK AAUEB ABBUW ABJNI ABVCZ ABXVJ ACCJW ACGFO ACILI ACLDA ACOAL ACXJB ACXNZ ADGGA ADHPY AE6 AEBDS AEETU AFEXH AFSOK AGINI AHOMT AHQNM AHRYX AINUH AJNWD AJZMW AKULP AMNEI AOHHW CGR CUY CVF ECM EEVPB EIF ERAAH FCALG GNXGY H0~ HLJTE HZ~ IN~ K-A K-F NPM OHH OHYEH OLB OWBYB OWU OWV OWX OWZ T8P VVN W3M W8F XXN XYM YFH YOC YSK YYM ZFV ~H1 AAYXX CITATION 5PM |
| ID | FETCH-LOGICAL-c5013-acada8b1e578c6f094fc25d5f09ea19082176e5af39a88f400c704d90332a1ee3 |
| ISSN | 0009-7322 |
| IngestDate | Tue Sep 17 21:24:58 EDT 2024 Fri Dec 06 04:40:16 EST 2024 Wed Oct 16 00:46:51 EDT 2024 Thu Apr 28 07:33:31 EDT 2022 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Keywords | coronary disease lipids risk metabolomics women |
| Language | English |
| License | 2018 American Heart Association, Inc. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c5013-acada8b1e578c6f094fc25d5f09ea19082176e5af39a88f400c704d90332a1ee3 |
| OpenAccessLink | https://www.ahajournals.org/doi/pdf/10.1161/CIRCULATIONAHA.117.029468 |
| PMID | 29459470 |
| PageCount | 13 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_5854187 crossref_primary_10_1161_CIRCULATIONAHA_117_029468 pubmed_primary_29459470 wolterskluwer_health_00003017-201802200-00013 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-February-20 |
| PublicationDateYYYYMMDD | 2018-02-20 |
| PublicationDate_xml | – month: 02 year: 2018 text: 2018-February-20 day: 20 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Circulation (New York, N.Y.) |
| PublicationTitleAlternate | Circulation |
| PublicationYear | 2018 |
| Publisher | by the American College of Cardiology Foundation and the American Heart Association, Inc |
| Publisher_xml | – name: by the American College of Cardiology Foundation and the American Heart Association, Inc |
| References | e_1_3_3_17_2 e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_38_2 e_1_3_3_18_2 e_1_3_3_39_2 e_1_3_3_13_2 e_1_3_3_36_2 e_1_3_3_12_2 e_1_3_3_37_2 e_1_3_3_15_2 e_1_3_3_34_2 e_1_3_3_14_2 e_1_3_3_35_2 e_1_3_3_32_2 e_1_3_3_33_2 e_1_3_3_11_2 e_1_3_3_30_2 e_1_3_3_10_2 e_1_3_3_31_2 e_1_3_3_40_2 e_1_3_3_6_2 e_1_3_3_5_2 e_1_3_3_8_2 e_1_3_3_7_2 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_27_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_23_2 e_1_3_3_26_2 e_1_3_3_25_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_4_2 e_1_3_3_22_2 e_1_3_3_3_2 e_1_3_3_21_2 |
| References_xml | – ident: e_1_3_3_5_2 doi: 10.1161/circulationaha.114.013116 – ident: e_1_3_3_31_2 doi: 10.1194/jlr.M061697 – ident: e_1_3_3_20_2 doi: 10.1001/jama.288.3.321 – ident: e_1_3_3_29_2 doi: 10.1016/S0895-4356(99)00102-X – ident: e_1_3_3_30_2 doi: 10.1016/j.csda.2006.12.028 – ident: e_1_3_3_39_2 doi: 10.1001/jama.2013.276305 – ident: e_1_3_3_9_2 doi: 10.1016/j.ahj.2012.02.005 – ident: e_1_3_3_22_2 doi: 10.1093/ije/dyq250 – ident: e_1_3_3_23_2 – ident: e_1_3_3_11_2 doi: 10.1371/journal.pgen.1004801 – ident: e_1_3_3_19_2 doi: 10.1001/jama.288.8.980 – ident: e_1_3_3_28_2 doi: 10.1016/j.bbalip.2011.06.007 – ident: e_1_3_3_40_2 doi: 10.1373/clinchem.2015.251710 – ident: e_1_3_3_25_2 doi: 10.1093/biomet/93.3.491 – ident: e_1_3_3_14_2 doi: 10.1093/eurheartj/ehs424 – ident: e_1_3_3_34_2 doi: 10.1373/clinchem.2011.165134 – ident: e_1_3_3_15_2 doi: 10.1007/s11306-015-0829-0 – ident: e_1_3_3_32_2 doi: 10.1161/CIRCRESAHA.111.256859 – ident: e_1_3_3_18_2 doi: 10.1016/S0197-2456(97)00078-0 – ident: e_1_3_3_35_2 doi: 10.1093/ageing/afs074 – ident: e_1_3_3_21_2 doi: 10.1056/NEJMc1306659 – ident: e_1_3_3_24_2 doi: 10.1093/biomet/73.1.1 – ident: e_1_3_3_3_2 doi: 10.1161/CIR.0000000000000343 – ident: e_1_3_3_26_2 doi: 10.1136/bmj.i969 – ident: e_1_3_3_4_2 doi: 10.1016/S0140-6736(14)60040-4 – ident: e_1_3_3_10_2 doi: 10.1161/CIRCGENETICS.109.852814 – ident: e_1_3_3_17_2 doi: 10.1038/ncomms5708 – ident: e_1_3_3_37_2 doi: 10.1161/CIRCULATIONAHA.116.023233 – ident: e_1_3_3_12_2 doi: 10.1038/ncomms7791 – ident: e_1_3_3_38_2 doi: 10.1161/CIRCULATIONAHA.111.067827 – ident: e_1_3_3_27_2 doi: 10.1111/biom.12113 – ident: e_1_3_3_6_2 doi: 10.1038/nature09922 – ident: e_1_3_3_36_2 doi: 10.1016/j.redox.2017.04.032 – ident: e_1_3_3_16_2 doi: 10.1371/journal.pgen.1002215 – ident: e_1_3_3_8_2 doi: 10.1161/CIRCGENETICS.110.959098 – ident: e_1_3_3_13_2 doi: 10.1038/nm.2307 – ident: e_1_3_3_33_2 doi: 10.1016/j.atherosclerosis.2013.10.026 – ident: e_1_3_3_2_2 doi: 10.1016/j.jacc.2005.01.072 – ident: e_1_3_3_7_2 doi: 10.1016/j.ahj.2014.01.019 |
| SSID | ssj0006375 |
| Score | 2.6459663 |
| Snippet | BACKGROUND:Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly... Although metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with... |
| SourceID | pubmedcentral crossref pubmed wolterskluwer |
| SourceType | Open Access Repository Aggregation Database Index Database Publisher |
| StartPage | 841 |
| SubjectTerms | Aged Chromatography, Liquid Coronary Disease - blood Coronary Disease - epidemiology Female Humans Incidence Metabolomics Middle Aged Phosphatidylcholines - blood Predictive Value of Tests Risk Factors Tandem Mass Spectrometry |
| Title | Metabolic Predictors of Incident Coronary Heart Disease in Women |
| URI | http://ovidsp.ovid.com/ovidweb.cgi?T=JS&NEWS=n&CSC=Y&PAGE=fulltext&D=ovft&AN=00003017-201802200-00013 https://www.ncbi.nlm.nih.gov/pubmed/29459470 https://pubmed.ncbi.nlm.nih.gov/PMC5854187 |
| Volume | 137 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ti9NAEF7qCYdwiN6pV99YQfwiqXnf5Jslp1axR5Er9FvYbDYY5ZKjpsj5D_zXzuxu3vQEvS8lJE2T7jyZzM7OPA8hz7EvgNnCtfIigAmKcD0rkyy3Mp9lRcjyPFc8s8vTcLH2P2yCzWTyc1C1tGuymfhxZV_JdawK-8Cu2CX7H5btfhR2wDbYFz7BwvD5TzZeygZsiDTVqy0uuCjlHNUbIlArtIGnfVurftsFALpBqk1cjcEch1KuHEamSbkVRsrrKoWeQcZgxS8rI-dxWlb85WrWp0MhFt_B_BtJNcwCE_9SdjU-5Q6TKqVSkdKSHnWf0NdO5wS1j05mw2SEE6nmbnvkYGOLebrVeCaNT3V9yw80Z1HndDXVi0FXNHChkSbCat_Gmkr4T0cfoqNP3n9K1h81bfBijgvQM9uNfS3UMwDAxblCABwKYl8LlYypt1fLBOZNvhOxG-QmciqiDMO7TV8tFHosaEX58P_tk2fmNl799SaQaNpccRT1dKHO72W4B99rLJH49lV1SAzinLM75LaZoNC5RttdMpHVITmaV7ypzy_pC6pKhtVazCHZX5rKjCPyusMi7bFI64K2WKQtFqnCIjVYpGVFFRbvkfXbN2fJwjLqHJYIUBKEC57zKHMk-HwRFnbsF8IN8gC2JIcwM4LJbigDXngxj6IC3hWC2X4e257nckdK7z7Zq-pKHhPKIw5jzmDU8sJXFIEBExJPVhF8NCVuO3rphSZhSdXkNXTS8egjd32qR39KHujh7U5pjTElbDTw3ReQan18pCo_K8p1A44psUYmSnWzMlZwYGqBWfhMYO-6YmtwvIfXvtIjcqt_vh6TvWa7k08g_G2ypwqYvwANWKif |
| link.rule.ids | 230,314,780,784,885,27924,27925 |
| linkProvider | Geneva Foundation for Medical Education and Research |
| 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=Metabolic+Predictors+of+Incident+Coronary+Heart+Disease+in+Women&rft.jtitle=Circulation+%28New+York%2C+N.Y.%29&rft.au=Paynter%2C+Nina+P.&rft.au=Balasubramanian%2C+Raji&rft.au=Giulianini%2C+Franco&rft.au=Wang%2C+Dong+D.&rft.date=2018-02-20&rft.issn=0009-7322&rft.eissn=1524-4539&rft.volume=137&rft.issue=8&rft.spage=841&rft.epage=853&rft_id=info:doi/10.1161%2FCIRCULATIONAHA.117.029468&rft_id=info%3Apmid%2F29459470&rft.externalDBID=PMC5854187 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0009-7322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0009-7322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0009-7322&client=summon |