{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:44:23Z","timestamp":1771267463986,"version":"3.50.1"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"vor","delay-in-days":40,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea government"},{"name":"Ministry of Health and Welfare (MOHW), Republic of Korea","award":["HR21C1003"],"award-info":[{"award-number":["HR21C1003"]}]},{"name":"Ministry of Science and ICT (MSIT), Republic of Korea","award":["No. 2022-0-00653"],"award-info":[{"award-number":["No. 2022-0-00653"]}]},{"name":"Ministry of Science and ICT (MSIT), Republic of Korea","award":["IITP-2024-No.RS-2023-00255968"],"award-info":[{"award-number":["IITP-2024-No.RS-2023-00255968"]}]},{"name":"Ministry of Science and ICT (MSIT), Republic of Korea","award":["NRF-RS-2022-001653"],"award-info":[{"award-number":["NRF-RS-2022-001653"]}]},{"name":"Ministry of Science and ICT (MSIT), Republic of Korea","award":["NRF-2021R1A2C2003474"],"award-info":[{"award-number":["NRF-2021R1A2C2003474"]}]},{"name":"Ministry of Science and ICT (MSIT), Republic of Korea","award":["NRF-2019R1A5A2026045"],"award-info":[{"award-number":["NRF-2019R1A5A2026045"]}]},{"name":"Ministry of Education (MOE), Republic of Korea","award":["NRF5199991014091"],"award-info":[{"award-number":["NRF5199991014091"]}]},{"name":"Ministry of Education (MOE), Republic of Korea","award":["NRF-2022R1A6A3A01086784"],"award-info":[{"award-number":["NRF-2022R1A6A3A01086784"]}]},{"DOI":"10.13039\/100018688","name":"Korea Disease Control and Prevention Agency","doi-asserted-by":"publisher","award":["6637-303"],"award-info":[{"award-number":["6637-303"]}],"id":[{"id":"10.13039\/100018688","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,7,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due to their low variability, cost-effectiveness, and minimal invasiveness in diagnostic procedures. Machine learning (ML) methods have been applied to enhance accuracy of the biomarker discovery. However, previous ML-based studies often overlook interactions between proteins, which are crucial in complex disorders like dementia. While protein\u2013protein interactions (PPIs) have been used in network models, these models often fail to fully capture the diverse properties of PPIs due to their local awareness. This drawback increases the chance of neglecting critical components and magnifying the impact of noisy interactions. In this study, we propose a novel graph-based ML model for dementia subtype diagnosis, the graph propagational network (GPN). By propagating the independent effect of plasma proteins on PPI network, the GPN extracts the globally interactive effects between proteins. Experimental results showed that the interactive effect between proteins yielded to further clarify the differences between dementia subtype groups and contributed to the performance improvement where the GPN outperformed existing methods by 10.4% on average.<\/jats:p>","DOI":"10.1093\/bib\/bbae428","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T14:14:28Z","timestamp":1725372868000},"source":"Crossref","is-referenced-by-count":4,"title":["Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5158-4670","authenticated-orcid":false,"given":"Sunghong","family":"Park","sequence":"first","affiliation":[{"name":"Department of Physiology, Ajou University School of Medicine , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang Hyung","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Ajou University School of Medicine , Woldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang Joon","family":"Son","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Ajou University School of Medicine , Woldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyun Woong","family":"Roh","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Ajou University School of Medicine , Woldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doyoon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Physiology, Ajou University School of Medicine , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Department of Biomedical Science , Graduate School, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Ajou University , Graduate School, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunjung","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Ajou University , Worldcup-ro 206, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Department of Artificial Intelligence, Ajou University , Worldcup-ro 206, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0916-893X","authenticated-orcid":false,"given":"Hyun Goo","family":"Woo","sequence":"additional","affiliation":[{"name":"Department of Physiology, Ajou University School of Medicine , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Department of Biomedical Science , Graduate School, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Ajou University , Graduate School, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Ajou Translational Omics Center (ATOC) , Research Institute for Innovative Medicine, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"},{"name":"Ajou University Medical Center , Research Institute for Innovative Medicine, , Worldcup-ro 164, Yeongtong-gu, Suwon, 16499 , Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2024,9,3]]},"reference":[{"key":"2024090314141206800_ref1","first-page":"457","article-title":"A clinicopathological approach to the diagnosis of dementia, nature reviews","volume":"13","author":"Elahi","year":"2017","journal-title":"Neurology"},{"key":"2024090314141206800_ref2","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neuron.2009.03.024","article-title":"Neurodegenerative diseases target large-scale human brain networks","volume":"62","author":"Seeley","year":"2009","journal-title":"Neuron"},{"key":"2024090314141206800_ref3","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.jalz.2011.03.003","article-title":"Toward defining the preclinical stages of Alzheimer\u2019s disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease","volume":"7","author":"Sperling","year":"2011","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref4","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.jalz.2011.03.008","article-title":"The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease","volume":"7","author":"Albert","year":"2011","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref5","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.jalz.2011.03.005","article-title":"The diagnosis of dementia due to Alzheimer\u2019s disease: recommendations from the National Institute on Aging-Alzheimer\u2019s association workgroups on diagnostic guidelines for Alzheimer's disease","volume":"7","author":"McKhann","year":"2011","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref6","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA research framework: toward a biological definition of Alzheimer's disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref7","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1212\/WNL.43.2.250","article-title":"Vascular dementia: diagnostic criteria for research studies: report of the NINDS-AIREN international workshop","volume":"43","author":"Rom\u00e1n","year":"1993","journal-title":"Neurology"},{"key":"2024090314141206800_ref8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1038\/nature25456","article-title":"High performance plasma amyloid-\u03b2 biomarkers for Alzheimer\u2019s disease","volume":"554","author":"Nakamura","year":"2018","journal-title":"Nature"},{"key":"2024090314141206800_ref9","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1001\/jama.2020.12134","article-title":"Discriminative accuracy of plasma phospho-tau217 for Alzheimer disease vs other neurodegenerative disorders","volume":"324","author":"Palmqvist","year":"2020","journal-title":"JAMA"},{"key":"2024090314141206800_ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13195-020-00694-3","article-title":"Immunomodulatory sphingosine-1-phosphates as plasma biomarkers of Alzheimer\u2019s disease and vascular cognitive impairment","volume":"12","author":"Chua","year":"2020","journal-title":"Alzheimers Res Ther"},{"key":"2024090314141206800_ref11","doi-asserted-by":"crossref","DOI":"10.1002\/alz.12700","article-title":"A combination model of AD biomarkers revealed by machine learning precisely predicts Alzheimer's dementia: China aging and neurodegenerative initiative (CANDI) study","volume":"19","author":"Gao","year":"2023","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref12","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1109\/JBHI.2020.2984355","article-title":"Early detection of Alzheimer's disease with blood plasma proteins using support vector machines","volume":"25","author":"Eke","year":"2020","journal-title":"IEEE J Biomed Health Inform"},{"key":"2024090314141206800_ref13","first-page":"fcac155","article-title":"Plasma biomarkers for prognosis of cognitive decline in patients with mild cognitive impairment, brain","volume":"4","author":"Kivis\u00e4kk","year":"2022","journal-title":"Communications"},{"key":"2024090314141206800_ref14","doi-asserted-by":"crossref","first-page":"3263","DOI":"10.1021\/acschemneuro.2c00255","article-title":"Machine learning-based classification of subjective cognitive decline, mild cognitive impairment, and Alzheimer\u2019s dementia using Neuroimage and plasma biomarkers","volume":"13","author":"Chiu","year":"2022","journal-title":"ACS Chem Nerosci"},{"key":"2024090314141206800_ref15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/2001-1326-3-16","article-title":"Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases","volume":"3","author":"Wu","year":"2014","journal-title":"Clin Transl Med"},{"key":"2024090314141206800_ref16","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1093\/bfgp\/elaa013","article-title":"Machine learning-based approaches for disease gene prediction","volume":"19","author":"Le","year":"2020","journal-title":"Brief Funct Genomics"},{"key":"2024090314141206800_ref17","doi-asserted-by":"crossref","first-page":"bbaa303","DOI":"10.1093\/bib\/bbaa303","article-title":"Recent advances in network-based methods for disease gene prediction","volume":"22","author":"Ata","year":"2021","journal-title":"Brief Bioinform"},{"key":"2024090314141206800_ref18","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1038\/mp.2015.177","article-title":"APOE* E2 allele delays age of onset in PSEN1 E280A Alzheimer\u2019s disease","volume":"21","author":"V\u00e9lez","year":"2016","journal-title":"Mol Psychiatry"},{"key":"2024090314141206800_ref19","doi-asserted-by":"crossref","first-page":"1680","DOI":"10.1038\/s41591-019-0611-3","article-title":"Resistance to autosomal dominant Alzheimer\u2019s disease in an APOE3 Christchurch homozygote: a case report","volume":"25","author":"Arboleda-Velasquez","year":"2019","journal-title":"Nat Med"},{"key":"2024090314141206800_ref20","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf"},{"key":"2024090314141206800_ref21","doi-asserted-by":"crossref","DOI":"10.1109\/BIBM47256.2019.8983330","article-title":"Integrating sequence and network information to enhance protein-protein interaction prediction using graph convolutional networks","volume-title":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","author":"Liu"},{"key":"2024090314141206800_ref22","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104772","article-title":"A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding","volume":"137","author":"Nasiri","year":"2021","journal-title":"Comput Biol Med"},{"key":"2024090314141206800_ref23","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1038\/s41467-023-36736-1","article-title":"Hierarchical graph learning for protein\u2013protein interaction","volume":"14","author":"Gao","year":"2023","journal-title":"Nat Commun"},{"key":"2024090314141206800_ref24","doi-asserted-by":"crossref","first-page":"203","DOI":"10.3389\/fphy.2020.00203","article-title":"Classification of cancer types using graph convolutional neural networks","volume":"8","author":"Ramirez","year":"2020","journal-title":"Front Phys"},{"key":"2024090314141206800_ref25","article-title":"Improving cancer survival prediction via graph convolutional neural network learning on protein-protein interaction networks","volume":"28","author":"Cai","journal-title":"IEEE J Biomed Health Inform"},{"key":"2024090314141206800_ref26","volume-title":"International Conference on Machine Learning","author":"Wu"},{"key":"2024090314141206800_ref27","doi-asserted-by":"crossref","first-page":"4385","DOI":"10.1109\/TNNLS.2022.3232291","article-title":"Empowering simple graph convolutional networks","volume":"35","author":"Pasa","year":"2023","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"2024090314141206800_ref28","volume-title":"International Conference on Machine Learning","author":"Abu-El-Haija"},{"key":"2024090314141206800_ref29","first-page":"10654","article-title":"Universal graph convolutional networks","volume":"34","author":"Jin","year":"2021","journal-title":"Adv Neural Inf Process Syst"},{"key":"2024090314141206800_ref30","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.ins.2021.05.057","article-title":"Semi-supervised learning with mixed-order graph convolutional networks","volume":"573","author":"Wang","year":"2021","journal-title":"Inform Sci"},{"key":"2024090314141206800_ref31","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1038\/nrg1272","article-title":"Network biology: understanding the cell's functional organization","volume":"5","author":"Barabasi","year":"2004","journal-title":"Nat Rev Genet"},{"key":"2024090314141206800_ref32","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1038\/nature02555","article-title":"Evidence for dynamically organized modularity in the yeast protein\u2013protein interaction network","volume":"430","author":"Han","year":"2004","journal-title":"Nature"},{"key":"2024090314141206800_ref33","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1038\/35075138","article-title":"Lethality and centrality in protein networks","volume":"411","author":"Jeong","year":"2001","journal-title":"Nature"},{"key":"2024090314141206800_ref34","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1038\/nature750","article-title":"Comparative assessment of large-scale data sets of protein\u2013protein interactions","volume":"417","author":"Von Mering","year":"2002","journal-title":"Nature"},{"key":"2024090314141206800_ref35","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1038\/nbt1002-991","article-title":"Analyzing yeast protein\u2013protein interaction data obtained from different sources","volume":"20","author":"Bader","year":"2002","journal-title":"Nat Biotechnol"},{"key":"2024090314141206800_ref36","doi-asserted-by":"crossref","first-page":"6959","DOI":"10.1073\/pnas.0708078105","article-title":"Estimating the size of the human interactome","volume":"105","author":"Stumpf","year":"2008","journal-title":"Proc Natl Acad Sci"},{"key":"2024090314141206800_ref37","doi-asserted-by":"crossref","first-page":"100","DOI":"10.30773\/pi.2021.0335","article-title":"Baseline clinical and biomarker characteristics of biobank innovations for chronic cerebrovascular disease with Alzheimer\u2019s disease study: BICWALZS","volume":"19","author":"Roh","year":"2022","journal-title":"Psychiatry Investig"},{"key":"2024090314141206800_ref38","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1111\/j.1365-2796.2004.01380.x","article-title":"Mild cognitive impairment\u2013beyond 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":"2024090314141206800_ref39","first-page":"634","article-title":"Classifying neurocognitive disorders: the DSM-5 approach, nature reviews","volume":"10","author":"Sachdev","year":"2014","journal-title":"Neurology"},{"key":"2024090314141206800_ref40","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1002\/alz.12369","article-title":"Large-scale plasma proteomic profiling identifies a high-performance biomarker panel for Alzheimer's disease screening and staging","volume":"18","author":"Jiang","year":"2022","journal-title":"Alzheimers Dement"},{"key":"2024090314141206800_ref41","doi-asserted-by":"crossref","first-page":"W216","DOI":"10.1093\/nar\/gkac194","article-title":"DAVID: a web server for functional enrichment analysis and functional annotation of gene lists","volume":"50","author":"Sherman","year":"2021","journal-title":"Nucleic Acids Res"},{"key":"2024090314141206800_ref42","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/nprot.2008.211","article-title":"Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources","volume":"4","author":"Huang","year":"2009","journal-title":"Nat Protoc"},{"key":"2024090314141206800_ref43","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1093\/nar\/gkg034","article-title":"STRING: a database of predicted functional associations between proteins","volume":"31","author":"Mering","year":"2003","journal-title":"Nucleic Acids Res"},{"key":"2024090314141206800_ref44","doi-asserted-by":"crossref","first-page":"D638","DOI":"10.1093\/nar\/gkac1000","article-title":"The STRING database in 2023: protein\u2013protein association networks and functional enrichment analyses for any sequenced genome of interest","volume":"51","author":"Szklarczyk","year":"2023","journal-title":"Nucleic Acids Res"},{"key":"2024090314141206800_ref45","doi-asserted-by":"crossref","first-page":"1923","DOI":"10.1093\/bioinformatics\/bty882","article-title":"Disease gene identification based on generic and disease-specific genome networks","volume":"35","author":"Nam","year":"2019","journal-title":"Bioinformatics"},{"key":"2024090314141206800_ref46","doi-asserted-by":"crossref","first-page":"i831","DOI":"10.1093\/bioinformatics\/btaa814","article-title":"Dementia key gene identification with multi-layered SNP-gene-disease network","volume":"36","author":"Lee","year":"2020","journal-title":"Bioinformatics"},{"key":"2024090314141206800_ref47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-031-01548-9","article-title":"Introduction to semi-supervised learning","volume":"3","author":"Zhu","year":"2009","journal-title":"Synth Lectures Artif Intell Mach Learn"},{"key":"2024090314141206800_ref48","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1214\/aoms\/1177729586","article-title":"A stochastic approximation method","volume":"22","author":"Robbins","year":"1951","journal-title":"Ann Math Stat"},{"key":"2024090314141206800_ref49","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1214\/aoms\/1177729392","article-title":"Stochastic estimation of the maximum of a regression function","volume":"23","author":"Kiefer","year":"1952","journal-title":"Ann Math Stat"},{"key":"2024090314141206800_ref50","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1137\/16M1080173","article-title":"Optimization methods for large-scale machine learning","volume":"60","author":"Bottou","year":"2018","journal-title":"Siam Review"},{"key":"2024090314141206800_ref51","doi-asserted-by":"crossref","first-page":"e47","DOI":"10.1093\/nar\/gkv007","article-title":"Limma powers differential expression analyses for RNA-sequencing and microarray studies","volume":"43","author":"Ritchie","year":"2015","journal-title":"Nucleic Acids Res"},{"key":"2024090314141206800_ref52","article-title":"Adam: A method for stochastic optimization","author":"Kingma"},{"key":"2024090314141206800_ref53","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"2024090314141206800_ref54","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1038\/s41420-021-00435-x","article-title":"BMP4 overexpression induces the upregulation of APP\/tau and memory deficits in Alzheimer\u2019s disease","volume":"7","author":"Zhang","year":"2021","journal-title":"Cell Death Discovery"},{"key":"2024090314141206800_ref55","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.expneurol.2008.09.003","article-title":"Decreased expression of CD200 and CD200 receptor in Alzheimer's disease: a potential mechanism leading to chronic inflammation","volume":"215","author":"Walker","year":"2009","journal-title":"Exp Neurol"},{"key":"2024090314141206800_ref56","article-title":"Increased MANF expression in the inferior temporal gyrus in patients with Alzheimer disease","volume":"13","author":"Liu","year":"2021","journal-title":"Front Aging Neurosci"},{"key":"2024090314141206800_ref57","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1002\/ana.25266","article-title":"Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia","volume":"84","author":"Yu","year":"2018","journal-title":"Ann Neurol"},{"key":"2024090314141206800_ref58","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1038\/s42003-021-02404-7","article-title":"Essential roles of plexin-B3+ oligodendrocyte precursor cells in the pathogenesis of Alzheimer\u2019s disease","volume":"4","author":"Nihonmatsu-Kikuchi","year":"2021","journal-title":"Communications Biology"},{"key":"2024090314141206800_ref59","doi-asserted-by":"crossref","first-page":"931","DOI":"10.2147\/DDDT.S357061","article-title":"Involvement of Huanglian Jiedu decoction on microglia with abnormal sphingolipid metabolism in Alzheimer\u2019s disease","volume":"16","author":"Qi","year":"2022","journal-title":"Drug Des Devel Ther"},{"key":"2024090314141206800_ref60","doi-asserted-by":"crossref","first-page":"729","DOI":"10.3233\/JAD-201039","article-title":"Brevican and neurocan peptides as potential cerebrospinal fluid biomarkers for differentiation between vascular dementia and Alzheimer\u2019s disease","volume":"79","author":"Minta","year":"2021","journal-title":"J Alzheimers Dis"},{"key":"2024090314141206800_ref61","article-title":"Urinary protein biomarkers based on LC\u2013MS\/MS analysis to discriminate vascular dementia from Alzheimer\u2019s disease in Han Chinese population","volume":"15","author":"Chen","year":"2023","journal-title":"Front Aging Neurosci"},{"key":"2024090314141206800_ref62","doi-asserted-by":"crossref","first-page":"e28","DOI":"10.5808\/gi.23047","article-title":"Initiative, Bayesian bi-level variable selection for genome-wide survival study","volume":"21","author":"Lee","year":"2023","journal-title":"Genomics Inform"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/25\/5\/bbae428\/59002486\/bbae428.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/25\/5\/bbae428\/59002486\/bbae428.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T14:15:17Z","timestamp":1725372917000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbae428\/7748264"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,25]]},"references-count":62,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,7,25]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbae428","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2024,9]]},"published":{"date-parts":[[2024,7,25]]},"article-number":"bbae428"}}