{"id":"https://openalex.org/W2154569095","doi":"https://doi.org/10.1186/2043-9113-1-29","title":"Diagnostic markers based on a computational model of lipoprotein metabolism","display_name":"Diagnostic markers based on a computational model of lipoprotein metabolism","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2154569095","doi":"https://doi.org/10.1186/2043-9113-1-29","mag":"2154569095"},"language":"en","primary_location":{"id":"doi:10.1186/2043-9113-1-29","is_oa":true,"landing_page_url":"https://doi.org/10.1186/2043-9113-1-29","pdf_url":"https://jclinbioinformatics.biomedcentral.com/track/pdf/10.1186/2043-9113-1-29","source":{"id":"https://openalex.org/S141199735","display_name":"Journal of Clinical Bioinformatics","issn_l":"2043-9113","issn":["2043-9113"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Clinical Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://jclinbioinformatics.biomedcentral.com/track/pdf/10.1186/2043-9113-1-29","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041494883","display_name":"Dani\u00ebl B. van Schalkwijk","orcid":null},"institutions":[{"id":"https://openalex.org/I2801582894","display_name":"Netherlands Bioinformatics Centre","ror":"https://ror.org/01r0k6965","country_code":"NL","type":"nonprofit","lineage":["https://openalex.org/I2801582894"]},{"id":"https://openalex.org/I4210133171","display_name":"Centre for Human Drug Research","ror":"https://ror.org/044hshx49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I4210133171"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Dani\u00ebl B van Schalkwijk","raw_affiliation_strings":["Leiden Amsterdam Centre for Drug Research (LACDR), Analytical Sciences division, Leiden, the Netherlands","TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands","The Netherlands Bioinformatics Centre (NBIC), Nijmegen, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Amsterdam Centre for Drug Research (LACDR), Analytical Sciences division, Leiden, the Netherlands","institution_ids":["https://openalex.org/I4210133171"]},{"raw_affiliation_string":"TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands","institution_ids":[]},{"raw_affiliation_string":"The Netherlands Bioinformatics Centre (NBIC), Nijmegen, the Netherlands","institution_ids":["https://openalex.org/I2801582894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049866928","display_name":"Ben van Ommen","orcid":"https://orcid.org/0000-0002-0124-9428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben van Ommen","raw_affiliation_strings":["TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027338923","display_name":"Andreas P. Freidig","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092553","display_name":"AIMM Therapeutics (Netherlands)","ror":"https://ror.org/0027p4q12","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210092553"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andreas P Freidig","raw_affiliation_strings":["Amsterdam Molecular Therapeutics (AMT), Amsterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Amsterdam Molecular Therapeutics (AMT), Amsterdam, the Netherlands","institution_ids":["https://openalex.org/I4210092553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038766778","display_name":"J. van der Greef","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133171","display_name":"Centre for Human Drug Research","ror":"https://ror.org/044hshx49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I4210133171"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan van der Greef","raw_affiliation_strings":["Leiden Amsterdam Centre for Drug Research (LACDR), Analytical Sciences division, Leiden, the Netherlands","TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Leiden Amsterdam Centre for Drug Research (LACDR), Analytical Sciences division, Leiden, the Netherlands","institution_ids":["https://openalex.org/I4210133171"]},{"raw_affiliation_string":"TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002560487","display_name":"Albert A. de Graaf","orcid":"https://orcid.org/0000-0002-1067-3570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Albert A de Graaf","raw_affiliation_strings":["TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TNO Quality of Life, Business Unit Biosciences, Zeist and Leiden, the Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041494883"],"corresponding_institution_ids":["https://openalex.org/I2801582894","https://openalex.org/I4210133171"],"apc_list":null,"apc_paid":null,"fwci":2.2938,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88147802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":"1","first_page":"29","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10394","display_name":"Lipoproteins and Cardiovascular Health","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10394","display_name":"Lipoproteins and Cardiovascular Health","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12465","display_name":"Cancer, Lipids, and Metabolism","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dyslipidemia","display_name":"Dyslipidemia","score":0.8166425228118896},{"id":"https://openalex.org/keywords/lipoprotein","display_name":"Lipoprotein","score":0.6475015878677368},{"id":"https://openalex.org/keywords/very-low-density-lipoprotein","display_name":"Very low-density lipoprotein","score":0.5791275501251221},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5706701874732971},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.488372266292572},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4773038625717163},{"id":"https://openalex.org/keywords/cholesterol","display_name":"Cholesterol","score":0.4770704507827759},{"id":"https://openalex.org/keywords/lipoprotein-particle","display_name":"Lipoprotein particle","score":0.4683949947357178},{"id":"https://openalex.org/keywords/apolipoprotein-b","display_name":"Apolipoprotein B","score":0.45003530383110046},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.39971211552619934},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.39056482911109924},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3200315833091736},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18324580788612366}],"concepts":[{"id":"https://openalex.org/C2778096610","wikidata":"https://www.wikidata.org/wiki/Q1476525","display_name":"Dyslipidemia","level":3,"score":0.8166425228118896},{"id":"https://openalex.org/C2780072125","wikidata":"https://www.wikidata.org/wiki/Q28350","display_name":"Lipoprotein","level":3,"score":0.6475015878677368},{"id":"https://openalex.org/C8243546","wikidata":"https://www.wikidata.org/wiki/Q419074","display_name":"Very low-density lipoprotein","level":4,"score":0.5791275501251221},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5706701874732971},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.488372266292572},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4773038625717163},{"id":"https://openalex.org/C2778163477","wikidata":"https://www.wikidata.org/wiki/Q43656","display_name":"Cholesterol","level":2,"score":0.4770704507827759},{"id":"https://openalex.org/C2911022245","wikidata":"https://www.wikidata.org/wiki/Q28350","display_name":"Lipoprotein particle","level":5,"score":0.4683949947357178},{"id":"https://openalex.org/C62746215","wikidata":"https://www.wikidata.org/wiki/Q14890615","display_name":"Apolipoprotein B","level":3,"score":0.45003530383110046},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.39971211552619934},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.39056482911109924},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3200315833091736},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18324580788612366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/2043-9113-1-29","is_oa":true,"landing_page_url":"https://doi.org/10.1186/2043-9113-1-29","pdf_url":"https://jclinbioinformatics.biomedcentral.com/track/pdf/10.1186/2043-9113-1-29","source":{"id":"https://openalex.org/S141199735","display_name":"Journal of Clinical Bioinformatics","issn_l":"2043-9113","issn":["2043-9113"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Clinical Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3305892","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3305892","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Clin Bioinforma","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/2043-9113-1-29","is_oa":true,"landing_page_url":"https://doi.org/10.1186/2043-9113-1-29","pdf_url":"https://jclinbioinformatics.biomedcentral.com/track/pdf/10.1186/2043-9113-1-29","source":{"id":"https://openalex.org/S141199735","display_name":"Journal of Clinical Bioinformatics","issn_l":"2043-9113","issn":["2043-9113"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Clinical Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.75,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2154569095.pdf","grobid_xml":"https://content.openalex.org/works/W2154569095.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W294107816","https://openalex.org/W1594379317","https://openalex.org/W1964195293","https://openalex.org/W1993452139","https://openalex.org/W2008740070","https://openalex.org/W2009783214","https://openalex.org/W2020343812","https://openalex.org/W2053585701","https://openalex.org/W2056210182","https://openalex.org/W2062999279","https://openalex.org/W2070632020","https://openalex.org/W2089286420","https://openalex.org/W2106343349","https://openalex.org/W2107818754","https://openalex.org/W2119594712","https://openalex.org/W2130057650","https://openalex.org/W2137757321","https://openalex.org/W2143290892","https://openalex.org/W2149677053","https://openalex.org/W2149993680","https://openalex.org/W2155097495","https://openalex.org/W2164547064","https://openalex.org/W2181619903","https://openalex.org/W2183415660","https://openalex.org/W2183983473","https://openalex.org/W2185025112","https://openalex.org/W2256323527","https://openalex.org/W2276181100","https://openalex.org/W2299767487","https://openalex.org/W2344422294","https://openalex.org/W2435157943","https://openalex.org/W2467257434","https://openalex.org/W3022937834","https://openalex.org/W4231092460","https://openalex.org/W4244654800","https://openalex.org/W4253173808"],"related_works":["https://openalex.org/W166747667","https://openalex.org/W2901608492","https://openalex.org/W4253281463","https://openalex.org/W1980266135","https://openalex.org/W2017524567","https://openalex.org/W2067555120","https://openalex.org/W2055776201","https://openalex.org/W2570447","https://openalex.org/W1973399704","https://openalex.org/W1551526463"],"abstract_inverted_index":{"Dyslipidemia":[0],"is":[1],"an":[2,83,115,176],"important":[3],"risk":[4,321],"factor":[5],"for":[6,323],"cardiovascular":[7,309],"disease":[8,310],"and":[9,19,65,80,96,164,259,300,311],"type":[10,313],"II":[11,314],"diabetes.":[12],"Lipoprotein":[13,27],"diagnostics,":[14,33,295],"such":[15],"as":[16],"LDL":[17,219,301],"cholesterol":[18],"HDL":[20,216,297],"cholesterol,":[21,217,298],"help":[22],"to":[23,42,54,308,337],"diagnose":[24],"these":[25,324],"diseases.":[26,325],"profile":[28,341],"measurements":[29],"could":[30,158],"improve":[31],"lipoprotein":[32,56,94,122,140,268,274,316,340],"but":[34],"interpretational":[35],"complexity":[36],"has":[37],"limited":[38],"their":[39],"clinical":[40,87,119,195,345],"application":[41,346],"date.":[43],"We":[44,75,153],"have":[45],"previously":[46],"developed":[47,64],"a":[48,160,187,241,338],"computational":[49,264],"model":[50,101,157,245,265],"called":[51],"Particle":[52,67,145,262,335],"Profiler":[53,68,146,263,336],"interpret":[55],"profiles.":[57],"In":[58,252],"the":[59,100,107,156,228,249,261],"current":[60],"study":[61,185,254],"we":[62,136,197,255,281],"further":[63,256],"calibrated":[66],"using":[69,266],"subjects":[70,129,166,213,292],"with":[71,130,175],"specific":[72],"genetic":[73],"conditions.":[74],"subsequently":[76],"performed":[77],"technical":[78,110],"validation":[79,111],"worked":[81],"at":[82],"initial":[84,116,192],"indication":[85,117,193],"of":[86,118,133,162,170,194,227,236,248],"usefulness":[88],"starting":[89],"from":[90,128,144,150,167,211,290],"available":[91,109,127],"data":[92,125,277],"on":[93,204,246,278],"concentrations":[95],"metabolic":[97,123,141,206,223,269,275,284,317],"fluxes.":[98],"Since":[99,303],"outcomes":[102],"cannot":[103],"be":[104,331],"measured":[105],"directly,":[106],"only":[108,183],"was":[112,126],"corroboration.":[113],"For":[114],"usefulness,":[120,196],"pooled":[121,267,273],"flux":[124,270,276],"various":[131],"types":[132],"dyslipidemia.":[134],"Therefore":[135],"investigated":[137],"how":[138],"well":[139],"ratios":[142,207,224,285,318,327],"derived":[143,282],"distinguished":[147,209,288],"reported":[148],"dyslipidemic":[149,165,210,279,291],"normolipidemic":[151,163,212,289],"subjects.":[152],"found":[154],"that":[155,199,286],"fit":[159,181,189],"range":[161],"fifteen":[168],"out":[169],"sixteen":[171],"studies":[172],"equally":[173],"well,":[174],"average":[177],"8.8%":[178],"\u00b1":[179],"5.0%":[180],"error;":[182],"one":[184,200],"showed":[186,198],"larger":[188],"error.":[190],"As":[191],"diagnostic":[201],"marker":[202],"based":[203],"VLDL":[205,222,283],"better":[208,287],"than":[214,293],"triglycerides,":[215],"or":[218],"cholesterol.":[220,302],"The":[221],"outperformed":[225],"each":[226],"classical":[229,250],"diagnostics":[230],"separately;":[231],"they":[232],"also":[233],"added":[234],"power":[235],"distinction":[237],"when":[238],"included":[239],"in":[240,329],"multivariate":[242],"logistic":[243],"regression":[244],"top":[247],"diagnostics.":[251],"this":[253],"developed,":[257],"calibrated,":[258],"corroborated":[260],"data.":[271],"From":[272],"patients,":[280],"standard":[294],"including":[296],"triglycerides":[299],"dyslipidemias":[304],"are":[305,319],"closely":[306],"linked":[307],"diabetes":[312],"development,":[315],"candidate":[320],"markers":[322],"These":[326],"can":[328],"principle":[330],"obtained":[332],"by":[333],"applying":[334],"single":[339],"measurement,":[342],"which":[343],"makes":[344],"feasible.":[347]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
