{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T01:28:21Z","timestamp":1787880501909,"version":"build-2784847793"},"reference-count":59,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T00:00:00Z","timestamp":1724025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["jlr.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Lipid Research"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1016\/j.jlr.2024.100625","type":"journal-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T21:49:52Z","timestamp":1726782592000},"page":"100625","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"title":["The metabolic signature of blood lipids: a causal inference study using twins"],"prefix":"10.1016","volume":"65","author":[{"given":"Yutong","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0440-0646","authenticated-orcid":false,"given":"Shunkai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihua","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Canqing","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dianjianyi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunxiao","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanjie","family":"Pang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zengchang","family":"Pang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianping","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8242-0775","authenticated-orcid":false,"given":"Wenjing","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liming","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jlr.2024.100625_bib1","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1185\/030079908X273372","article-title":"Serum lipid profiles and their relationship to cardiovascular disease in the elderly: the PREV-ICTUS study","volume":"24","author":"Lozano","year":"2008","journal-title":"Curr. Med. Res. Opin."},{"key":"10.1016\/j.jlr.2024.100625_bib2","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1001\/archpedi.161.2.159","article-title":"Serum lipids and glucose control: the SEARCH for Diabetes in Youth study","volume":"161","author":"Petitti","year":"2007","journal-title":"Arch. Pediatr. Adolesc. Med."},{"key":"10.1016\/j.jlr.2024.100625_bib3","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1038\/s41569-021-00541-4","article-title":"Global epidemiology of dyslipidaemias","volume":"18","author":"Pirillo","year":"2021","journal-title":"Nat. Rev. Cardiol."},{"key":"10.1016\/j.jlr.2024.100625_bib4","series-title":"GBD Results","year":"2021"},{"key":"10.1016\/j.jlr.2024.100625_bib5","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1080\/10408398.2020.1764487","article-title":"Dietary habits, lipoprotein metabolism and cardiovascular disease: from individual foods to dietary patterns","volume":"61","author":"Gomez-Delgado","year":"2021","journal-title":"Crit. Rev. Food Sci. Nutr."},{"key":"10.1016\/j.jlr.2024.100625_bib6","doi-asserted-by":"crossref","first-page":"1514","DOI":"10.1038\/s41588-018-0222-9","article-title":"Genetics of blood lipids among \u223c300,000 multi-ethnic participants of the Million Veteran Program","volume":"50","author":"Klarin","year":"2018","journal-title":"Nat. Genet."},{"key":"10.1016\/j.jlr.2024.100625_bib7","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/nature18846","article-title":"Diet-microbiota interactions as moderators of human metabolism","volume":"535","author":"Sonnenburg","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.jlr.2024.100625_bib8","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1186\/s12967-022-03799-5","article-title":"Impact of the gut microbiota and associated metabolites on cardiometabolic traits, chronic diseases and human longevity: a Mendelian randomization study","volume":"21","author":"Gagnon","year":"2023","journal-title":"J.\u00a0Transl. Med."},{"key":"10.1016\/j.jlr.2024.100625_bib9","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1038\/s42255-021-00348-0","article-title":"Gut microbiome pattern reflects healthy ageing and predicts survival in humans","volume":"3","author":"Wilmanski","year":"2021","journal-title":"Nat. Metab."},{"key":"10.1016\/j.jlr.2024.100625_bib10","doi-asserted-by":"crossref","first-page":"499","DOI":"10.2337\/dc20-0884","article-title":"Association of serum bile acids profile and pathway dysregulation with the risk of developing diabetes among normoglycemic Chinese adults: findings from the 4C study","volume":"44","author":"Lu","year":"2021","journal-title":"Diabetes Care"},{"key":"10.1016\/j.jlr.2024.100625_bib11","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1007\/s00059-020-04897-0","article-title":"Gut-heart axis : how gut bacteria influence cardiovascular diseases","volume":"45","author":"Bartolomaeus","year":"2020","journal-title":"Herz"},{"key":"10.1016\/j.jlr.2024.100625_bib12","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCGEN.121.003330","article-title":"Association of plasma branched-chain amino acid with biomarkers of inflammation and lipid metabolism in women","volume":"14","author":"Hamaya","year":"2021","journal-title":"Circ. Genom Precis Med."},{"key":"10.1016\/j.jlr.2024.100625_bib13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.bbrc.2021.03.069","article-title":"Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for hypercholesterolemia","volume":"553","author":"OuYang","year":"2021","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"10.1016\/j.jlr.2024.100625_bib14","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jpba.2018.12.042","article-title":"Serum metabolomics model and its metabolic characteristics in patients with different syndromes of dyslipidemia based on nuclear magnetic resonance","volume":"167","author":"Chen","year":"2019","journal-title":"J.\u00a0Pharm. Biomed. Anal."},{"key":"10.1016\/j.jlr.2024.100625_bib15","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1186\/s12916-022-02688-4","article-title":"Systematic analysis of relationships between plasma branched-chain amino acid concentrations and cardiometabolic parameters: an association and Mendelian randomization study","volume":"20","author":"Doestzada","year":"2022","journal-title":"BMC Med."},{"key":"10.1016\/j.jlr.2024.100625_bib16","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s40618-013-0044-7","article-title":"Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up","volume":"37","author":"Mook-Kanamori","year":"2014","journal-title":"J.\u00a0Endocrinol. Invest."},{"key":"10.1016\/j.jlr.2024.100625_bib17","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1093\/ije\/dyaa065","article-title":"Inference about causation from examination of familial confounding (ICE FALCON): a model for assessing causation analogous to Mendelian randomization","volume":"49","author":"Li","year":"2020","journal-title":"Int. J. Epidemiol."},{"key":"10.1016\/j.jlr.2024.100625_bib18","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1186\/s13148-018-0452-9","article-title":"Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study","volume":"10","author":"Li","year":"2018","journal-title":"Clin. Epigenetics"},{"key":"10.1016\/j.jlr.2024.100625_bib19","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1111\/joim.12926","article-title":"The Chinese National Twin Registry: a 'gold mine' for scientific research","volume":"286","author":"Gao","year":"2019","journal-title":"J.\u00a0Intern. Med."},{"key":"10.1016\/j.jlr.2024.100625_bib20","article-title":"Determination of zygosity in adult Chinese twins using the 450K methylation array versus questionnaire data","volume":"10","author":"Wang","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.jlr.2024.100625_bib21","doi-asserted-by":"crossref","first-page":"W388","DOI":"10.1093\/nar\/gkab382","article-title":"MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights","volume":"49","author":"Pang","year":"2021","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.jlr.2024.100625_bib22","doi-asserted-by":"crossref","first-page":"3474","DOI":"10.1158\/1055-9965.EPI-07-2636","article-title":"Predictors of mammographic density: insights gained from a novel regression analysis of a twin study","volume":"17","author":"Dite","year":"2008","journal-title":"Cancer Epidemiol. Biomarkers Prev."},{"key":"10.1016\/j.jlr.2024.100625_bib23","first-page":"557","article-title":"Correlation and causation","volume":"20","author":"Wright","year":"1921","journal-title":"J.\u00a0Agric. Res."},{"key":"10.1016\/j.jlr.2024.100625_bib24","series-title":"Modern epidemiology","author":"Rothman","year":"2008"},{"key":"10.1016\/j.jlr.2024.100625_bib25","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1003062","article-title":"Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: a multivariable Mendelian randomisation analysis","volume":"17","author":"Richardson","year":"2020","journal-title":"PLoS Med."},{"key":"10.1016\/j.jlr.2024.100625_bib26","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1038\/ng.2982","article-title":"An atlas of genetic influences on human blood metabolites","volume":"46","author":"Shin","year":"2014","journal-title":"Nat. Genet."},{"key":"10.1016\/j.jlr.2024.100625_bib27","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3001547","article-title":"Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation","volume":"20","author":"Richardson","year":"2022","journal-title":"PLoS Biol."},{"key":"10.1016\/j.jlr.2024.100625_bib28","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1038\/s42003-020-01583-z","article-title":"Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations","volume":"4","author":"Panyard","year":"2021","journal-title":"Commun. Biol."},{"key":"10.1016\/j.jlr.2024.100625_bib29","doi-asserted-by":"crossref","first-page":"1644","DOI":"10.1038\/s41467-022-29143-5","article-title":"Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci","volume":"13","author":"Yin","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jlr.2024.100625_bib30","article-title":"The MRC IEU OpenGWAS data infrastructure","author":"Elsworth","year":"2020","journal-title":"bioRxiv"},{"key":"10.1016\/j.jlr.2024.100625_bib31","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1038\/s41591-022-02014-8","article-title":"Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome","volume":"28","author":"Chen","year":"2022","journal-title":"Nat. Med."},{"key":"10.1016\/j.jlr.2024.100625_bib32","first-page":"83","article-title":"Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults","volume":"15","author":"Zhou","year":"2002","journal-title":"Biomed. Environ. Sci."},{"key":"10.1016\/j.jlr.2024.100625_bib33","doi-asserted-by":"crossref","first-page":"328","DOI":"10.3390\/nu14020328","article-title":"3-Hydroxyphenylacetic acid: a blood pressure-reducing flavonoid metabolite","volume":"14","author":"Dias","year":"2022","journal-title":"Nutrients"},{"key":"10.1016\/j.jlr.2024.100625_bib34","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.jpba.2010.01.002","article-title":"Plasma metabolic fingerprinting of childhood obesity by GC\/MS in conjunction with multivariate statistical analysis","volume":"52","author":"Zeng","year":"2010","journal-title":"J.\u00a0Pharm. Biomed. Anal."},{"key":"10.1016\/j.jlr.2024.100625_bib35","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1002\/mnfr.201200646","article-title":"Phenolic acid concentrations in plasma and urine from men consuming green or black tea and potential chemopreventive properties for colon cancer","volume":"57","author":"Henning","year":"2013","journal-title":"Mol. Nutr. Food Res."},{"key":"10.1016\/j.jlr.2024.100625_bib36","doi-asserted-by":"crossref","first-page":"3078","DOI":"10.1021\/jf2044247","article-title":"Impact of short-term intake of red wine and grape polyphenol extract on the human metabolome","volume":"60","author":"Jacobs","year":"2012","journal-title":"J.\u00a0Agric. Food Chem."},{"key":"10.1016\/j.jlr.2024.100625_bib37","doi-asserted-by":"crossref","first-page":"3876","DOI":"10.1080\/10408398.2019.1710692","article-title":"Grape juice or wine: which is the best option?","volume":"60","author":"Barbalho","year":"2020","journal-title":"Crit. Rev. Food Sci. Nutr."},{"key":"10.1016\/j.jlr.2024.100625_bib38","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s12915-019-0715-8","article-title":"The intestinal microbiota regulates host cholesterol homeostasis","volume":"17","author":"Le Roy","year":"2019","journal-title":"BMC Biol."},{"key":"10.1016\/j.jlr.2024.100625_bib39","doi-asserted-by":"crossref","first-page":"8074","DOI":"10.3390\/ijms22158074","article-title":"The role of gut microbiota on cholesterol metabolism in atherosclerosis","volume":"22","author":"Vourakis","year":"2021","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.jlr.2024.100625_bib40","doi-asserted-by":"crossref","first-page":"1108","DOI":"10.1161\/hc3501.095214","article-title":"Coronary heart disease prediction from lipoprotein cholesterol levels, triglycerides, lipoprotein(a), apolipoproteins A-I and B, and HDL density subfractions: the Atherosclerosis Risk in Communities (ARIC) Study","volume":"104","author":"Sharrett","year":"2001","journal-title":"Circulation"},{"key":"10.1016\/j.jlr.2024.100625_bib41","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/s41366-018-0132-z","article-title":"Plasma metabolites reveal distinct profiles associating with different metabolic risk factors in monozygotic twin pairs","volume":"43","author":"Muniandy","year":"2019","journal-title":"Int. J. Obes. (Lond)."},{"key":"10.1016\/j.jlr.2024.100625_bib42","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.cca.2019.05.001","article-title":"Study on urine metabolic profiling and pathogenesis of hyperlipidemia","volume":"495","author":"Yang","year":"2019","journal-title":"Clin. Chim. Acta"},{"key":"10.1016\/j.jlr.2024.100625_bib43","doi-asserted-by":"crossref","first-page":"5607","DOI":"10.1038\/s41598-017-05765-4","article-title":"An amino acid signature associated with obesity predicts 2-year risk of hypertriglyceridemia in school-age children","volume":"7","author":"Moran-Ramos","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jlr.2024.100625_bib44","doi-asserted-by":"crossref","first-page":"375","DOI":"10.3390\/nu8060379","article-title":"Amino acid and biogenic amine profile deviations in an oral glucose tolerance test: a comparison between healthy and hyperlipidaemia individuals based on targeted metabolomics","volume":"8","author":"Li","year":"2016","journal-title":"Nutrients"},{"key":"10.1016\/j.jlr.2024.100625_bib45","doi-asserted-by":"crossref","first-page":"207S","DOI":"10.1093\/jn\/136.1.207S","article-title":"Branched-chain amino acids: enzyme and substrate regulation","volume":"136","author":"Brosnan","year":"2006","journal-title":"J.\u00a0Nutr."},{"key":"10.1016\/j.jlr.2024.100625_bib46","doi-asserted-by":"crossref","DOI":"10.1016\/j.medmic.2023.100078","article-title":"BCAA dysmetabolism in the host and gut microbiome, a key player in the development of obesity and T2DM","volume":"16","author":"Li","year":"2023","journal-title":"Med. Microecol."},{"key":"10.1016\/j.jlr.2024.100625_bib47","doi-asserted-by":"crossref","DOI":"10.1038\/srep11918","article-title":"Plasma free amino acid profiles predict four-year risk of developing diabetes, metabolic syndrome, dyslipidemia, and hypertension in Japanese population","volume":"5","author":"Yamakado","year":"2015","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jlr.2024.100625_bib48","doi-asserted-by":"crossref","first-page":"2359","DOI":"10.1007\/s00125-020-05253-x","article-title":"An atlas on risk factors for type 2 diabetes: a wide-angled Mendelian randomisation study","volume":"63","author":"Yuan","year":"2020","journal-title":"Diabetologia"},{"key":"10.1016\/j.jlr.2024.100625_bib49","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002179","article-title":"Genetic predisposition to an impaired metabolism of the branched-chain amino acids and risk of type 2 diabetes: a mendelian randomisation analysis","volume":"13","author":"Lotta","year":"2016","journal-title":"PLoS Med."},{"key":"10.1016\/j.jlr.2024.100625_bib50","doi-asserted-by":"crossref","first-page":"6197","DOI":"10.1038\/s41598-021-85684-7","article-title":"Triangulating evidence from longitudinal and Mendelian randomization studies of metabolomic biomarkers for type 2 diabetes","volume":"11","author":"Porcu","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jlr.2024.100625_bib51","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.2337\/dc17-1642","article-title":"Genetic support for a causal role of insulin resistance on circulating branched-chain amino acids and inflammation","volume":"40","author":"Wang","year":"2017","journal-title":"Diabetes Care"},{"key":"10.1016\/j.jlr.2024.100625_bib52","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s12017-008-8053-y","article-title":"Creatine and its potential therapeutic value for targeting cellular energy impairment in neurodegenerative diseases","volume":"10","author":"Adhihetty","year":"2008","journal-title":"Neuromol. Med."},{"key":"10.1016\/j.jlr.2024.100625_bib53","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/S0272-6386(97)90010-X","article-title":"Induction of creatininase activity in chronic renal failure: timing of creatinine degradation and effect of antibiotics","volume":"29","author":"Dunn","year":"1997","journal-title":"Am. J. Kidney Dis."},{"key":"10.1016\/j.jlr.2024.100625_bib54","doi-asserted-by":"crossref","first-page":"1319","DOI":"10.2337\/dc19-2533","article-title":"Microbiota-related metabolites and the risk of type 2 diabetes","volume":"43","author":"Vangipurapu","year":"2020","journal-title":"Diabetes Care"},{"key":"10.1016\/j.jlr.2024.100625_bib55","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1111\/cen.14396","article-title":"Plasma creatine and incident type 2 diabetes in a general population-based cohort: the PREVEND study","volume":"94","author":"Post","year":"2021","journal-title":"Clin. Endocrinol. (Oxf)"},{"key":"10.1016\/j.jlr.2024.100625_bib56","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1016\/j.clinbiochem.2011.06.980","article-title":"delta-Aminolevulinate dehydratase activity in type 2 diabetic patients and its association with lipid profile and oxidative stress","volume":"44","author":"Bonfanti","year":"2011","journal-title":"Clin. Biochem."},{"key":"10.1016\/j.jlr.2024.100625_bib57","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.ijcard.2018.04.074","article-title":"Gut microbiota and serum metabolite differences in African Americans and White Americans with high blood pressure","volume":"271","author":"Walejko","year":"2018","journal-title":"Int. J. Cardiol."},{"key":"10.1016\/j.jlr.2024.100625_bib58","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1038\/s41562-023-01609-6","article-title":"Maximizing the value of twin studies in health and behaviour","volume":"7","author":"Hagenbeek","year":"2023","journal-title":"Nat. Hum. Behav."},{"key":"10.1016\/j.jlr.2024.100625_bib59","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.1021\/acs.jproteome.9b00640","article-title":"Skyline for small molecules: a unifying software package for quantitative metabolomics","volume":"19","author":"Adams","year":"2020","journal-title":"J. Proteome Res."}],"container-title":["Journal of Lipid Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022227524001305?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022227524001305?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T23:06:40Z","timestamp":1727392000000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022227524001305"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":59,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["S0022227524001305"],"URL":"https:\/\/doi.org\/10.1016\/j.jlr.2024.100625","relation":{},"ISSN":["0022-2275"],"issn-type":[{"value":"0022-2275","type":"print"}],"subject":[],"published":{"date-parts":[[2024,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"The metabolic signature of blood lipids: a causal inference study using twins","name":"articletitle","label":"Article Title"},{"value":"Journal of Lipid Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jlr.2024.100625","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Inc on behalf of American Society for Biochemistry and Molecular Biology.","name":"copyright","label":"Copyright"}],"article-number":"100625"}}