{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T04:40:11Z","timestamp":1728276011900},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T00:00:00Z","timestamp":1715731200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers in Biology and Medicine"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1016\/j.compbiomed.2024.108588","type":"journal-article","created":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T00:12:38Z","timestamp":1715645558000},"page":"108588","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease"],"prefix":"10.1016","volume":"176","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-2348-9083","authenticated-orcid":false,"given":"Alicia","family":"G\u00f3mez-Pascual","sequence":"first","affiliation":[]},{"given":"Talel","family":"Naccache","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Kourosh","family":"Hooshmand","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6083-5227","authenticated-orcid":false,"given":"Asger","family":"Wretlind","sequence":"additional","affiliation":[]},{"given":"Martina","family":"Gabrielli","sequence":"additional","affiliation":[]},{"given":"Marta Tiffany","family":"Lombardo","sequence":"additional","affiliation":[]},{"given":"Liu","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Noel J.","family":"Buckley","sequence":"additional","affiliation":[]},{"given":"Betty M.","family":"Tijms","sequence":"additional","affiliation":[]},{"given":"Stephanie J.B.","family":"Vos","sequence":"additional","affiliation":[]},{"given":"Mara","family":"ten Kate","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0304-9785","authenticated-orcid":false,"given":"Sebastiaan","family":"Engelborghs","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0283-2332","authenticated-orcid":false,"given":"Kristel","family":"Sleegers","sequence":"additional","affiliation":[]},{"given":"Giovanni B.","family":"Frisoni","sequence":"additional","affiliation":[]},{"given":"Anders","family":"Wallin","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Lle\u00f3","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0068-0312","authenticated-orcid":false,"given":"Julius","family":"Popp","sequence":"additional","affiliation":[]},{"given":"Pablo","family":"Martinez-Lage","sequence":"additional","affiliation":[]},{"given":"Johannes","family":"Streffer","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3543-3706","authenticated-orcid":false,"given":"Frederik","family":"Barkhof","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3930-4354","authenticated-orcid":false,"given":"Henrik","family":"Zetterberg","sequence":"additional","affiliation":[]},{"given":"Pieter Jelle","family":"Visser","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Lovestone","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0108-124X","authenticated-orcid":false,"given":"Lars","family":"Bertram","sequence":"additional","affiliation":[]},{"given":"Alejo J.","family":"Nevado-Holgado","sequence":"additional","affiliation":[]},{"given":"Alice","family":"Gualerzi","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Picciolini","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2553-6974","authenticated-orcid":false,"given":"Petroula","family":"Proitsi","sequence":"additional","affiliation":[]},{"given":"Claudia","family":"Verderio","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6992-598X","authenticated-orcid":false,"given":"Juan A.","family":"Bot\u00eda","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4018-214X","authenticated-orcid":false,"given":"Cristina","family":"Legido-Quigley","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compbiomed.2024.108588_bib1","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1016\/S0140-6736(06)68542-5","article-title":"Mild cognitive impairment","volume":"367","author":"Gauthier","year":"2006","journal-title":"Lancet"},{"key":"10.1016\/j.compbiomed.2024.108588_bib2","article-title":"Worldwide prevalence of mild cognitive impairment among community dwellers aged 50 years and older: a meta-analysis and systematic review of epidemiology studies","volume":"51","author":"Bai","year":"2022","journal-title":"Age Ageing"},{"key":"10.1016\/j.compbiomed.2024.108588_bib3","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1212\/WNL.0000000000000055","article-title":"Higher risk of progression to dementia in mild cognitive impairment cases who revert to normal","volume":"82","author":"Roberts","year":"2014","journal-title":"Neurology"},{"key":"10.1016\/j.compbiomed.2024.108588_bib4","doi-asserted-by":"crossref","first-page":"2235","DOI":"10.1038\/s41598-019-38793-3","article-title":"Alzheimer's disease neuroimaging Initiative, predicting Short-term MCI-to-AD progression using imaging, CSF, Genetic factors, cognitive Resilience, and demographics","volume":"9","author":"Varatharajah","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compbiomed.2024.108588_bib5","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1212\/WNL.0b013e3182343314","article-title":"Predicting MCI outcome with clinically available MRI and CSF biomarkers","volume":"77","author":"Heister","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.compbiomed.2024.108588_bib6","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1016\/j.neuroimage.2010.10.081","article-title":"Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population","volume":"55","author":"Hinrichs","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.compbiomed.2024.108588_bib7","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1038\/s41386-019-0551-0","article-title":"A multipredictor model to predict the conversion of mild cognitive impairment to Alzheimer's disease by using a predictive nomogram","volume":"45","author":"Huang","year":"2020","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.compbiomed.2024.108588_bib8","doi-asserted-by":"crossref","first-page":"1952","DOI":"10.1038\/s41598-018-37769-z","article-title":"Predicting Alzheimer's disease progression using multi-modal deep learning approach","volume":"9","author":"Lee","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compbiomed.2024.108588_bib9","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1001\/archneurol.2007.23","article-title":"Magnetic Resonance imaging white Matter Hyperintensities and brain volume in the prediction of mild cognitive impairment and dementia","volume":"65","author":"Smith","year":"2008","journal-title":"Arch. Neurol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib10","article-title":"A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer's disease","volume":"6","author":"Liu","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.compbiomed.2024.108588_bib11","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1093\/bib\/bbw114","article-title":"Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences","volume":"19","author":"Manzoni","year":"2018","journal-title":"Brief. Bioinform."},{"key":"10.1016\/j.compbiomed.2024.108588_bib12","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1038\/s41591-020-0755-1","article-title":"Plasma P-tau181 in Alzheimer's disease: relationship to other biomarkers, differential diagnosis, neuropathology and longitudinal progression to Alzheimer's dementia","volume":"26","author":"Janelidze","year":"2020","journal-title":"Nat. Med."},{"key":"10.1016\/j.compbiomed.2024.108588_bib13","doi-asserted-by":"crossref","first-page":"674","DOI":"10.3390\/brainsci11060674","article-title":"Predicting conversion from MCI to AD combining multi-modality data and based on molecular subtype","volume":"11","author":"Li","year":"2021","journal-title":"Brain Sci."},{"key":"10.1016\/j.compbiomed.2024.108588_bib14","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0138866","article-title":"Predicting progression from mild cognitive impairment to Alzheimer's dementia using clinical, MRI, and plasma biomarkers via Probabilistic Pattern classification","volume":"11","author":"Korolev","year":"2016","journal-title":"PLoS One"},{"key":"10.1016\/j.compbiomed.2024.108588_bib15","doi-asserted-by":"crossref","first-page":"e57","DOI":"10.1038\/tp.2011.55","article-title":"Metabolome in progression to Alzheimer's disease","volume":"1","author":"Ore\u0161i\u010d","year":"2011","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.compbiomed.2024.108588_bib16","doi-asserted-by":"crossref","DOI":"10.3390\/ijms222010903","article-title":"Discovery of a metabolic Signature Predisposing high risk patients with mild cognitive impairment to converting to Alzheimer's disease","volume":"22","author":"Huang","year":"2021","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.compbiomed.2024.108588_bib17","doi-asserted-by":"crossref","first-page":"1478","DOI":"10.1016\/j.jalz.2019.06.4951","article-title":"Discovery and validation of plasma proteomic biomarkers relating to brain amyloid burden by SOMAscan assay","volume":"15","author":"Shi","year":"2019","journal-title":"Alzheimers Dement. J. Alzheimers Assoc."},{"key":"10.1016\/j.compbiomed.2024.108588_bib18","first-page":"140","article-title":"Association of blood lipids with Alzheimer's disease: a comprehensive lipidomics analysis, Alzheimers Dement","volume":"13","author":"Proitsi","year":"2017","journal-title":"J. Alzheimers Assoc."},{"key":"10.1016\/j.compbiomed.2024.108588_bib19","doi-asserted-by":"crossref","first-page":"3735","DOI":"10.1016\/j.csbj.2021.06.030","article-title":"Integration strategies of multi-omics data for machine learning analysis","volume":"19","author":"Picard","year":"2021","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"10.1016\/j.compbiomed.2024.108588_bib20","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s13195-018-0396-5","article-title":"The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics","volume":"10","author":"Bos","year":"2018","journal-title":"Alzheimer's Res. Ther."},{"key":"10.1016\/j.compbiomed.2024.108588_bib21","doi-asserted-by":"crossref","first-page":"949","DOI":"10.3390\/metabo12100949","article-title":"Multi-omics, an integrated approach to identify novel blood biomarkers of Alzheimer's disease","volume":"12","author":"Fran\u00e7ois","year":"2022","journal-title":"Metabolites"},{"key":"10.1016\/j.compbiomed.2024.108588_bib22","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.neuron.2005.11.027","article-title":"The endocannabinoid anandamide protects neurons during CNS inflammation by induction of MKP-1 in microglial cells","volume":"49","author":"Eljaschewitsch","year":"2006","journal-title":"Neuron"},{"key":"10.1016\/j.compbiomed.2024.108588_bib23","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/j.1365-2796.2004.01388.x","article-title":"Mild cognitive impairment as a diagnostic entity","volume":"256","author":"Petersen","year":"2004","journal-title":"J. Intern. Med."},{"key":"10.1016\/j.compbiomed.2024.108588_bib24","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1111\/j.1365-2796.2004.01380.x","article-title":"Mild cognitive impairment--beyond controversies, towards a consensus: report of the International working group on mild cognitive impairment","volume":"256","author":"Winblad","year":"2004","journal-title":"J. Intern. Med."},{"key":"10.1016\/j.compbiomed.2024.108588_bib25","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1212\/WNL.34.7.939","article-title":"Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of Department of Health and human Services task Force on Alzheimer's disease","volume":"34","author":"McKhann","year":"1984","journal-title":"Neurology"},{"key":"10.1016\/j.compbiomed.2024.108588_bib26","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.jalz.2019.03.004","article-title":"Primary fatty amides in plasma associated with brain amyloid burden, hippocampal volume, and memory in the European Medical Information Framework for Alzheimer's Disease biomarker discovery cohort","volume":"15","author":"Kim","year":"2019","journal-title":"Alzheimers Dement. J. Alzheimers Assoc."},{"key":"10.1016\/j.compbiomed.2024.108588_bib27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v028.i05","article-title":"Building predictive models in R using the caret package","volume":"28","author":"Kuhn","year":"2008","journal-title":"J. Stat. Software"},{"key":"10.1016\/j.compbiomed.2024.108588_bib28","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0015004","article-title":"Aptamer-based Multiplexed proteomic Technology for biomarker discovery","volume":"5","author":"Gold","year":"2010","journal-title":"PLoS One"},{"key":"10.1016\/j.compbiomed.2024.108588_bib29","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","article-title":"The sva package for removing batch effects and other unwanted variation in high-throughput experiments","volume":"28","author":"Leek","year":"2012","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiomed.2024.108588_bib30","first-page":"3350","article-title":"Multiomics profiling of human plasma and cerebrospinal fluid reveals ATN-derived networks and highlights causal links in Alzheimer's disease, Alzheimers Dement","volume":"19","author":"Shi","year":"2023","journal-title":"J. Alzheimers Assoc."},{"year":"2024","series-title":"Yardstick: Tidy Characterizations of Model Performance","author":"Kuhn","key":"10.1016\/j.compbiomed.2024.108588_bib31"},{"issue":"1","key":"10.1016\/j.compbiomed.2024.108588_bib32","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"author":"Breiman","key":"10.1016\/j.compbiomed.2024.108588_bib33"},{"key":"10.1016\/j.compbiomed.2024.108588_bib34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v048.i04","article-title":"Qgraph: network visualizations of relationships in Psychometric data","volume":"48","author":"Epskamp","year":"2012","journal-title":"J. Stat. Software"},{"key":"10.1016\/j.compbiomed.2024.108588_bib35","doi-asserted-by":"crossref","first-page":"515","DOI":"10.3233\/JAD-130380","article-title":"Candidate blood proteome markers of Alzheimer's disease Onset and progression: a systematic review and replication study","volume":"38","author":"Kiddle","year":"2014","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.compbiomed.2024.108588_bib36","doi-asserted-by":"crossref","first-page":"2849","DOI":"10.1093\/brain\/awac083","article-title":"Microglial large extracellular vesicles propagate early synaptic dysfunction in Alzheimer's disease","volume":"145","author":"Gabrielli","year":"2022","journal-title":"Brain J. Neurol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib37","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1084\/jem.180.6.2089","article-title":"Mechanisms of tolerance induction in major histocompatibility complex class II-restricted T cells specific for a blood-borne self-antigen","volume":"180","author":"Zal","year":"1994","journal-title":"J. Exp. Med."},{"key":"10.1016\/j.compbiomed.2024.108588_bib38","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1186\/s12974-020-01903-4","article-title":"GM-CSF induces noninflammatory proliferation of microglia and disturbs electrical neuronal network rhythms in situ","volume":"17","author":"Dikmen","year":"2020","journal-title":"J. Neuroinflammation"},{"key":"10.1016\/j.compbiomed.2024.108588_bib39","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s00401-017-1803-x","article-title":"Glia-to-neuron transfer of miRNAs via extracellular vesicles: a new mechanism underlying inflammation-induced synaptic alterations","volume":"135","author":"Prada","year":"2018","journal-title":"Acta Neuropathol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib40","doi-asserted-by":"crossref","first-page":"3399","DOI":"10.1016\/j.bbagen.2016.09.001","article-title":"Inhibitory action of linoleamide and oleamide toward sarco\/endoplasmic reticulum Ca2+-ATPase","volume":"1861","author":"Yamamoto","year":"2017","journal-title":"Biochim. Biophys. Acta Gen. Subj."},{"key":"10.1016\/j.compbiomed.2024.108588_bib41","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1038\/sj.bjp.0705608","article-title":"Oleamide: a member of the endocannabinoid family?","volume":"141","author":"Fowler","year":"2004","journal-title":"Br. J. Pharmacol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib42","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1016\/S0024-3205(00)01002-X","article-title":"Linoleamide, a brain lipid that induces sleep, increases cytosolic Ca2+ levels in MDCK renal tubular cells","volume":"68","author":"Huang","year":"2001","journal-title":"Life Sci."},{"key":"10.1016\/j.compbiomed.2024.108588_bib43","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1016\/j.trci.2019.11.001","article-title":"A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort","volume":"N 5","author":"Stamate","year":"2019","journal-title":"Alzheimers Dement. N. Y."},{"key":"10.1016\/j.compbiomed.2024.108588_bib44","doi-asserted-by":"crossref","first-page":"1506","DOI":"10.1126\/science.7770779","article-title":"Chemical characterization of a family of brain lipids that induce sleep","volume":"268","author":"Cravatt","year":"1995","journal-title":"Science"},{"key":"10.1016\/j.compbiomed.2024.108588_bib45","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1126\/science.1241224","article-title":"Sleep Drives metabolite clearance from the Adult brain","volume":"342","author":"Xie","year":"2013","journal-title":"Science"},{"key":"10.1016\/j.compbiomed.2024.108588_bib46","doi-asserted-by":"crossref","first-page":"35","DOI":"10.3233\/JAD-190577","article-title":"Neurotransmitter imbalance in the brain and Alzheimer's disease Pathology","volume":"72","author":"Snowden","year":"2019","journal-title":"J. Alzheimers Dis. JAD"},{"key":"10.1016\/j.compbiomed.2024.108588_bib47","first-page":"318","article-title":"Evidence for brain glucose dysregulation in Alzheimer's disease, Alzheimers Dement","volume":"14","author":"An","year":"2018","journal-title":"J. Alzheimers Assoc."},{"key":"10.1016\/j.compbiomed.2024.108588_bib48","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1093\/brain\/awg155","article-title":"Huntington's disease-like phenotype due to trinucleotide repeat expansions in the TBP and JPH3 genes","volume":"126","author":"Stevanin","year":"2003","journal-title":"Brain J. Neurol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib49","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.neuron.2012.12.023","article-title":"Microglia: new roles for the synaptic Stripper","volume":"77","author":"Kettenmann","year":"2013","journal-title":"Neuron"},{"issue":"Suppl 1","key":"10.1016\/j.compbiomed.2024.108588_bib50","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.neuropharm.2008.07.037","article-title":"Endocannabinoid signaling in microglial cells","volume":"56","author":"Stella","year":"2009","journal-title":"Neuropharmacology"},{"key":"10.1016\/j.compbiomed.2024.108588_bib51","doi-asserted-by":"crossref","first-page":"213","DOI":"10.15252\/embr.201439668","article-title":"Active endocannabinoids are secreted on extracellular membrane vesicles","volume":"16","author":"Gabrielli","year":"2015","journal-title":"EMBO Rep."},{"key":"10.1016\/j.compbiomed.2024.108588_bib52","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1146\/annurev.physiol.010908.163149","article-title":"Endocannabinoid signaling and long-term synaptic plasticity","volume":"71","author":"Heifets","year":"2009","journal-title":"Annu. Rev. Physiol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib53","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1152\/physrev.00019.2008","article-title":"Endocannabinoid-mediated control of synaptic transmission","volume":"89","author":"Kano","year":"2009","journal-title":"Physiol. Rev."},{"key":"10.1016\/j.compbiomed.2024.108588_bib54","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/j.conb.2008.08.007","article-title":"Wiring and firing neuronal networks: endocannabinoids take center stage","volume":"18","author":"Harkany","year":"2008","journal-title":"Curr. Opin. Neurobiol."},{"key":"10.1016\/j.compbiomed.2024.108588_bib55","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1016\/j.drudis.2008.02.006","article-title":"Biosynthesis, degradation, and pharmacological importance of the fatty acid amides","volume":"13","author":"Farrell","year":"2008","journal-title":"Drug Discov. Today"}],"container-title":["Computers in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482524006735?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482524006735?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T04:18:47Z","timestamp":1728274727000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010482524006735"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":55,"alternative-id":["S0010482524006735"],"URL":"http:\/\/dx.doi.org\/10.1016\/j.compbiomed.2024.108588","relation":{},"ISSN":["0010-4825"],"issn-type":[{"type":"print","value":"0010-4825"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease","name":"articletitle","label":"Article Title"},{"value":"Computers in Biology and Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiomed.2024.108588","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 Ltd.","name":"copyright","label":"Copyright"}],"article-number":"108588"}}
