Exploring the Genetic Associations Between the Use of Statins and Alzheimer's Disease

Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore th...

Full description

Saved in:
Bibliographic Details
Published inJournal of lipid and atherosclerosis Vol. 11; no. 2; pp. 133 - 146
Main Authors Lee, Jibeom, Park, Suhyeon, Kim, Yumin, Kim, Hyun Min, Oh, Chang-Myung
Format Journal Article
LanguageEnglish
Published Korea (South) Korean Society of Lipidology and Atherosclerosis 01.05.2022
한국지질동맥경화학회
Subjects
Original
내과학
Alzheimer's disease
HMG-COA reductase inhibitor
Statin
Online AccessGet full text
ISSN2287-2892
2288-2561
DOI10.12997/jla.2022.11.2.133

Cover

Abstract Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore the underlying mechanisms of statin on AD. We downloaded AD blood dataset (GSE63060) and statin-related blood gene expression dataset (GSE86216). Then we performed gene expression analysis of each dataset and compared blood gene expressions between AD patients and statin-treated patients. Then, we downloaded mouse embryonic neural stem cell dataset (GSE111945) and performed gene expression analysis. From the human blood dataset, we identified upregulated/downregulated genes in AD patients and statin-treated patients. Some of the upregulated genes ( , , ) in the blood of AD patients are downregulated in statin-treated patients. Several downregulated genes ( , , , , and ) are upregulated in statin-treated patients. Gene set enrichment analysis using mouse stem cell dataset revealed a significant relationship of Kyoto Encyclopedia of Genes and Genomes-defined pathway of AD in statin-treated neural stem cells compared to vehicle-treated neural stem cells (normalized enrichment score: -2.24 in male and -1.6 in female). These gene expression analyses from human blood and mouse neural stem cell demonstrate the important clues on the molecular mechanisms of impacts of statin on AD disease. Further studies are needed to investigate the exact role of candidate genes and pathways suggested in our AD pathogenesis study.
AbstractList Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore the underlying mechanisms of statin on AD. We downloaded AD blood dataset (GSE63060) and statin-related blood gene expression dataset (GSE86216). Then we performed gene expression analysis of each dataset and compared blood gene expressions between AD patients and statin-treated patients. Then, we downloaded mouse embryonic neural stem cell dataset (GSE111945) and performed gene expression analysis. From the human blood dataset, we identified upregulated/downregulated genes in AD patients and statin-treated patients. Some of the upregulated genes ( , , ) in the blood of AD patients are downregulated in statin-treated patients. Several downregulated genes ( , , , , and ) are upregulated in statin-treated patients. Gene set enrichment analysis using mouse stem cell dataset revealed a significant relationship of Kyoto Encyclopedia of Genes and Genomes-defined pathway of AD in statin-treated neural stem cells compared to vehicle-treated neural stem cells (normalized enrichment score: -2.24 in male and -1.6 in female). These gene expression analyses from human blood and mouse neural stem cell demonstrate the important clues on the molecular mechanisms of impacts of statin on AD disease. Further studies are needed to investigate the exact role of candidate genes and pathways suggested in our AD pathogenesis study.
Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore the underlying mechanisms of statin on AD.ObjectiveAlzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore the underlying mechanisms of statin on AD.We downloaded AD blood dataset (GSE63060) and statin-related blood gene expression dataset (GSE86216). Then we performed gene expression analysis of each dataset and compared blood gene expressions between AD patients and statin-treated patients. Then, we downloaded mouse embryonic neural stem cell dataset (GSE111945) and performed gene expression analysis.MethodsWe downloaded AD blood dataset (GSE63060) and statin-related blood gene expression dataset (GSE86216). Then we performed gene expression analysis of each dataset and compared blood gene expressions between AD patients and statin-treated patients. Then, we downloaded mouse embryonic neural stem cell dataset (GSE111945) and performed gene expression analysis.From the human blood dataset, we identified upregulated/downregulated genes in AD patients and statin-treated patients. Some of the upregulated genes (AEN, MBTPS1, ABCG1) in the blood of AD patients are downregulated in statin-treated patients. Several downregulated genes (FGL2, HMGCS1, PSME2, SRSF3, and ATG3) are upregulated in statin-treated patients. Gene set enrichment analysis using mouse stem cell dataset revealed a significant relationship of Kyoto Encyclopedia of Genes and Genomes-defined pathway of AD in statin-treated neural stem cells compared to vehicle-treated neural stem cells (normalized enrichment score: -2.24 in male and -1.6 in female).ResultsFrom the human blood dataset, we identified upregulated/downregulated genes in AD patients and statin-treated patients. Some of the upregulated genes (AEN, MBTPS1, ABCG1) in the blood of AD patients are downregulated in statin-treated patients. Several downregulated genes (FGL2, HMGCS1, PSME2, SRSF3, and ATG3) are upregulated in statin-treated patients. Gene set enrichment analysis using mouse stem cell dataset revealed a significant relationship of Kyoto Encyclopedia of Genes and Genomes-defined pathway of AD in statin-treated neural stem cells compared to vehicle-treated neural stem cells (normalized enrichment score: -2.24 in male and -1.6 in female).These gene expression analyses from human blood and mouse neural stem cell demonstrate the important clues on the molecular mechanisms of impacts of statin on AD disease. Further studies are needed to investigate the exact role of candidate genes and pathways suggested in our AD pathogenesis study.ConclusionThese gene expression analyses from human blood and mouse neural stem cell demonstrate the important clues on the molecular mechanisms of impacts of statin on AD disease. Further studies are needed to investigate the exact role of candidate genes and pathways suggested in our AD pathogenesis study.
Objective: Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of dementia development. However, the exact mechanisms of statin effects in AD are not yet fully understood. In this study, we aimed to explore the underlying mechanisms of statin on AD. Methods: We downloaded AD blood dataset (GSE63060) and statin-related blood gene expression dataset (GSE86216). Then we performed gene expression analysis of each dataset and compared blood gene expressions between AD patients and statin-treated patients. Then, we downloaded mouse embryonic neural stem cell dataset (GSE111945) and performed gene expression analysis. Results: From the human blood dataset, we identified upregulated/downregulated genes in AD patients and statin-treated patients. Some of the upregulated genes (AEN, MBTPS1, ABCG1) in the blood of AD patients are downregulated in statin-treated patients. Several downregulated genes (FGL2, HMGCS1, PSME2, SRSF3, and ATG3) are upregulated in statin-treated patients. Gene set enrichment analysis using mouse stem cell dataset revealed a significant relationship of Kyoto Encyclopedia of Genes and Genomes-defined pathway of AD in statin-treated neural stem cells compared to vehicle-treated neural stem cells (normalized enrichment score: -2.24 in male and -1.6 in female). Conclusion: These gene expression analyses from human blood and mouse neural stem cell demonstrate the important clues on the molecular mechanisms of impacts of statin on AD disease. Further studies are needed to investigate the exact role of candidate genes and pathways suggested in our AD pathogenesis study. KCI Citation Count: 0
Author Park, Suhyeon
Kim, Yumin
Lee, Jibeom
Oh, Chang-Myung
Kim, Hyun Min
AuthorAffiliation 2 Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
1 Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
AuthorAffiliation_xml – name: 1 Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
– name: 2 Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
Author_xml – sequence: 1
  givenname: Jibeom
  orcidid: 0000-0003-3768-6547
  surname: Lee
  fullname: Lee, Jibeom
  organization: Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
– sequence: 2
  givenname: Suhyeon
  orcidid: 0000-0002-2858-3856
  surname: Park
  fullname: Park, Suhyeon
  organization: Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
– sequence: 3
  givenname: Yumin
  orcidid: 0000-0002-2083-6660
  surname: Kim
  fullname: Kim, Yumin
  organization: Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
– sequence: 4
  givenname: Hyun Min
  orcidid: 0000-0002-7460-9340
  surname: Kim
  fullname: Kim, Hyun Min
  organization: Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
– sequence: 5
  givenname: Chang-Myung
  orcidid: 0000-0001-6681-4478
  surname: Oh
  fullname: Oh, Chang-Myung
  organization: Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35656152$$D View this record in MEDLINE/PubMed
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002841176$$DAccess content in National Research Foundation of Korea (NRF)
BookMark eNp9UU1PGzEQtSqqQoE_wAHtDXrYsLbX6_UFKaVAkZCQKDlbjjMmho2d2hv68es7bAAVDvgwY2neezN67zPZCDEAIXu0GlGmlDy668yIVYyNKB1h4fwD2WKsbUsmGrox_GXJWsU2yW7OdxU-VbOqkZ_IJhcNggTbIpPT38suJh9ui34OxTkE6L0txjlH603vY8jFV-h_AYQBMMlQRFf86HGGIxNmxbj7Owe_gHSQi28-g8mwQz4602XYferbZHJ2enPyvby8Or84GV-WlgvKS6McVGCEFNA6WVMDeKPiklNVS-pU3UgpHMz4lDVTUzHnhBWyxcPVbNpYybfJl7VuSE7fW6-j8UO_jfo-6fH1zYVGr-qWC8Qer7HL1XQBMwuhT6bTy-QXJv0ZmK8nwc9R50Er9FbKBgUOnwRS_LmC3OuFzxa6zgSIq6xZIzkaW1c1Qvf_3_Wy5Nl3BLA1wKaYcwL3AqGVHvLVmK9-zFdTqrFwjqT2Dcn6fsgI7_Xde9R_gGaqOw
CitedBy_id crossref_primary_10_2174_1871527322666221005124808
crossref_primary_10_12997_jla_2023_12_2_89
crossref_primary_10_1097_HJH_0000000000003536
crossref_primary_10_1111_bcpt_13981
Cites_doi 10.1016/j.celrep.2017.11.058
10.3233/JAD-132366
10.1172/JCI0216421
10.1186/1750-1326-9-60
10.1016/j.celrep.2019.11.093
10.1093/bioinformatics/bts635
10.1158/1078-0432.CCR-20-1967
10.1186/cc11418
10.1073/pnas.0506580102
10.1186/gb-2009-10-10-242
10.1007/s12012-007-0003-7
10.1194/jlr.M600542-JLR200
10.2217/clp.13.7
10.4103/1673-5374.268896
10.3390/cells10030540
10.1038/s41598-017-07029-7
10.1016/j.mce.2017.05.026
10.1074/jbc.M702640200
10.3389/fcell.2019.00096
10.1016/j.cels.2015.12.004
10.1371/journal.pone.0196387
10.1038/nature22405
10.3389/fneur.2018.01158
10.1007/0-387-29362-0_23
10.1016/j.febslet.2015.02.003
10.1371/journal.pone.0138223
10.1007/s11606-014-3115-3
10.1038/mp.2014.81
10.1038/s41582-019-0228-7
10.1038/d41573-020-00217-7
10.1016/j.nbd.2011.01.021
10.4103/0028-3886.266274
10.1177/0271678X17690761
10.1016/j.bbamcr.2017.06.023
10.1186/gb-2003-4-5-p3
10.1093/nar/gky1055
10.1097/01.ASN.0000018400.39687.8C
10.1016/S1474-4422(19)30480-6
10.1001/jama.2019.4782
10.1189/jlb.0705377
10.2174/0929867324666161118094711
10.1186/s13059-015-0750-x
10.1093/bioinformatics/btu638
10.4065/82.11.1381
10.1186/1471-2105-9-559
10.1093/bioinformatics/btw354
10.1074/jbc.M114.626952
10.1093/nar/28.1.27
10.1159/000329999
10.1185/030079905X59102
10.1186/s13059-014-0550-8
10.1038/s41598-018-24248-8
10.1002/trc2.12108
10.15252/emmm.201505846
10.1523/JNEUROSCI.3040-05.2005
10.1080/15548627.2018.1438807
10.2174/156720510791050821
10.1371/journal.pone.0006501
10.1016/j.bcp.2013.10.030
10.1038/nrn1387
10.1021/bi500373k
10.1038/d41586-018-05719-4
10.1038/onc.2008.32
10.1177/1179573520907397
10.1172/JCI133737
10.1097/MD.0000000000011304
10.1080/15548627.2015.1121360
10.1159/000503105
ContentType Journal Article
Copyright Copyright © 2022 The Korean Society of Lipid and Atherosclerosis.
Copyright © 2022 The Korean Society of Lipid and Atherosclerosis. 2022 The Korean Society of Lipid and Atherosclerosis
Copyright_xml – notice: Copyright © 2022 The Korean Society of Lipid and Atherosclerosis.
– notice: Copyright © 2022 The Korean Society of Lipid and Atherosclerosis. 2022 The Korean Society of Lipid and Atherosclerosis
DBID AAYXX
CITATION
NPM
7X8
5PM
ACYCR
DOI 10.12997/jla.2022.11.2.133
DatabaseName CrossRef
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
Korean Citation Index
DatabaseTitle CrossRef
PubMed
MEDLINE - Academic
DatabaseTitleList PubMed
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
EISSN 2288-2561
EndPage 146
ExternalDocumentID oai_kci_go_kr_ARTI_9974835
PMC9133776
35656152
10_12997_jla_2022_11_2_133
Genre Journal Article
GrantInformation_xml – fundername: ;
– fundername: ;
  grantid: 2020R1C1C1004999
GroupedDBID 5-W
53G
8JR
8XY
AAYXX
ALMA_UNASSIGNED_HOLDINGS
CITATION
EF.
GROUPED_DOAJ
OK1
PGMZT
RPM
NPM
7X8
5PM
ACYCR
ID FETCH-LOGICAL-c3513-a9fe0ea575e8f741ae009937319471f946775fed3b26ba02ff5c5781529db6c73
ISSN 2287-2892
IngestDate Tue Nov 21 21:44:41 EST 2023
Thu Aug 21 14:14:31 EDT 2025
Fri Jul 11 00:57:43 EDT 2025
Thu Jan 02 22:53:58 EST 2025
Tue Jul 01 00:25:34 EDT 2025
Thu Apr 24 22:54:08 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords Alzheimer's disease
HMG-COA reductase inhibitor
Statin
Language English
License Copyright © 2022 The Korean Society of Lipid and Atherosclerosis.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c3513-a9fe0ea575e8f741ae009937319471f946775fed3b26ba02ff5c5781529db6c73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
https://www.e-jla.org/DOIx.php?id=10.12997/jla.2022.11.2.133
ORCID 0000-0002-2083-6660
0000-0003-3768-6547
0000-0002-2858-3856
0000-0002-7460-9340
0000-0001-6681-4478
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC9133776
PMID 35656152
PQID 2673356404
PQPubID 23479
PageCount 14
ParticipantIDs nrf_kci_oai_kci_go_kr_ARTI_9974835
pubmedcentral_primary_oai_pubmedcentral_nih_gov_9133776
proquest_miscellaneous_2673356404
pubmed_primary_35656152
crossref_primary_10_12997_jla_2022_11_2_133
crossref_citationtrail_10_12997_jla_2022_11_2_133
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2022-05-01
PublicationDateYYYYMMDD 2022-05-01
PublicationDate_xml – month: 05
  year: 2022
  text: 2022-05-01
  day: 01
PublicationDecade 2020
PublicationPlace Korea (South)
PublicationPlace_xml – name: Korea (South)
PublicationTitle Journal of lipid and atherosclerosis
PublicationTitleAlternate J Lipid Atheroscler
PublicationYear 2022
Publisher Korean Society of Lipidology and Atherosclerosis
한국지질동맥경화학회
Publisher_xml – name: Korean Society of Lipidology and Atherosclerosis
– name: 한국지질동맥경화학회
References Cosacak (10.12997/jla.2022.11.2.133_ref73) 2020; 15
Yao (10.12997/jla.2022.11.2.133_ref56) 2019; 9
Barbero-Camps (10.12997/jla.2022.11.2.133_ref44) 2018; 14
Zhao (10.12997/jla.2022.11.2.133_ref12) 2019; 67
Dennis (10.12997/jla.2022.11.2.133_ref32) 2003; 4
Apicco (10.12997/jla.2022.11.2.133_ref66) 2019; 29
Subramanian (10.12997/jla.2022.11.2.133_ref33) 2005; 102
Walker (10.12997/jla.2022.11.2.133_ref54) 2006; 79
Kanehisa (10.12997/jla.2022.11.2.133_ref25) 2000; 28
Barone (10.12997/jla.2022.11.2.133_ref47) 2014; 88
Mielke (10.12997/jla.2022.11.2.133_ref70) 2018; 35
Aisen (10.12997/jla.2022.11.2.133_ref5) 2019; 6
Palinski (10.12997/jla.2022.11.2.133_ref39) 2002; 13
Giannopoulos (10.12997/jla.2022.11.2.133_ref13) 2014; 42
Arvanitakis (10.12997/jla.2022.11.2.133_ref1) 2019; 322
Love (10.12997/jla.2022.11.2.133_ref31) 2014; 15
Tansley (10.12997/jla.2022.11.2.133_ref53) 2007; 48
Ding (10.12997/jla.2022.11.2.133_ref63) 2005; 25
Torrandell-Haro (10.12997/jla.2022.11.2.133_ref14) 2020; 6
Langfelder (10.12997/jla.2022.11.2.133_ref22) 2008; 9
Sood (10.12997/jla.2022.11.2.133_ref20) 2015; 16
Chamaria (10.12997/jla.2022.11.2.133_ref21) 2017; 7
Mews (10.12997/jla.2022.11.2.133_ref36) 2017; 546
Marquer (10.12997/jla.2022.11.2.133_ref55) 2014; 9
Cai (10.12997/jla.2022.11.2.133_ref52) 2016; 12
Meng (10.12997/jla.2022.11.2.133_ref38) 2017
Leduc (10.12997/jla.2022.11.2.133_ref41) 2015; 20
Ramkumar (10.12997/jla.2022.11.2.133_ref7) 2016; 32
Yamazaki (10.12997/jla.2022.11.2.133_ref43) 2019; 15
McGuinness (10.12997/jla.2022.11.2.133_ref18) 2009
Potkin (10.12997/jla.2022.11.2.133_ref37) 2009; 4
Hinrich (10.12997/jla.2022.11.2.133_ref67) 2016; 8
Wang (10.12997/jla.2022.11.2.133_ref50) 2015; 10
Nixon (10.12997/jla.2022.11.2.133_ref62) 2011; 43
Agarwal (10.12997/jla.2022.11.2.133_ref10) 2007; 82
Shepard (10.12997/jla.2022.11.2.133_ref58) 2009; 10
Dobin (10.12997/jla.2022.11.2.133_ref28) 2013; 29
Rabkin (10.12997/jla.2022.11.2.133_ref65) 2007; 7
Preman (10.12997/jla.2022.11.2.133_ref40) 2021; 10
Longo (10.12997/jla.2022.11.2.133_ref11) 2020; 26
Smyth (10.12997/jla.2022.11.2.133_ref23) 2005
Frahm (10.12997/jla.2022.11.2.133_ref27) 2018; 471
Morales (10.12997/jla.2022.11.2.133_ref74) 2019; 7
Sakoh-Nakatogawa (10.12997/jla.2022.11.2.133_ref60) 2015; 589
Raparelli (10.12997/jla.2022.11.2.133_ref72) 2017; 24
Liao (10.12997/jla.2022.11.2.133_ref68) 2002; 110
Roberts (10.12997/jla.2022.11.2.133_ref71) 2013; 8
Carson (10.12997/jla.2022.11.2.133_ref75) 2018; 13
Velho (10.12997/jla.2022.11.2.133_ref51) 2017; 1864
Ostrowski (10.12997/jla.2022.11.2.133_ref69) 2007; 282
Ngu (10.12997/jla.2022.11.2.133_ref61) 2015; 290
Miners (10.12997/jla.2022.11.2.133_ref35) 2018; 38
Yiannopoulou (10.12997/jla.2022.11.2.133_ref2) 2020; 12
The Gene Ontology Consortium (10.12997/jla.2022.11.2.133_ref24) 2019; 47
Liberzon (10.12997/jla.2022.11.2.133_ref26) 2015; 1
Ewels (10.12997/jla.2022.11.2.133_ref29) 2016; 32
Roy (10.12997/jla.2022.11.2.133_ref57) 2020; 130
Stroes (10.12997/jla.2022.11.2.133_ref8) 2005; 21
Anders (10.12997/jla.2022.11.2.133_ref30) 2015; 31
Di Scala (10.12997/jla.2022.11.2.133_ref45) 2014; 53
Chang (10.12997/jla.2022.11.2.133_ref49) 2012; 9
Poly (10.12997/jla.2022.11.2.133_ref17) 2020; 54
Vestergaard (10.12997/jla.2022.11.2.133_ref42) 2010; 7
Kawase (10.12997/jla.2022.11.2.133_ref48) 2008; 27
Schneider (10.12997/jla.2022.11.2.133_ref6) 2020; 19
Makin (10.12997/jla.2022.11.2.133_ref4) 2018; 559
Nielsen (10.12997/jla.2022.11.2.133_ref9) 2012; 16
Zhang (10.12997/jla.2022.11.2.133_ref15) 2018; 97
Chu (10.12997/jla.2022.11.2.133_ref16) 2018; 8
Boutej (10.12997/jla.2022.11.2.133_ref59) 2017; 21
Mullard (10.12997/jla.2022.11.2.133_ref3) 2021; 20
Carson (10.12997/jla.2022.11.2.133_ref34) 2018; 13
Ott (10.12997/jla.2022.11.2.133_ref19) 2015; 30
Grothe (10.12997/jla.2022.11.2.133_ref64) 2018; 141
Iadecola (10.12997/jla.2022.11.2.133_ref46) 2004; 5
References_xml – volume: 6
  start-page: 150
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref5
  publication-title: J Prev Alzheimers Dis
– volume: 21
  start-page: 3220
  year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref59
  publication-title: Cell Reports
  doi: 10.1016/j.celrep.2017.11.058
– volume: 42
  start-page: S315
  issue: Suppl 3
  year: 2014
  ident: 10.12997/jla.2022.11.2.133_ref13
  publication-title: J Alzheimers Dis
  doi: 10.3233/JAD-132366
– volume: 110
  start-page: 285
  year: 2002
  ident: 10.12997/jla.2022.11.2.133_ref68
  publication-title: J Clin Invest
  doi: 10.1172/JCI0216421
– volume: 9
  start-page: 60
  year: 2014
  ident: 10.12997/jla.2022.11.2.133_ref55
  publication-title: Mol Neurodegener
  doi: 10.1186/1750-1326-9-60
– volume: 29
  start-page: 4377
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref66
  publication-title: Cell Reports
  doi: 10.1016/j.celrep.2019.11.093
– volume: 29
  start-page: 15
  year: 2013
  ident: 10.12997/jla.2022.11.2.133_ref28
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts635
– volume: 26
  start-page: 5791
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref11
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-20-1967
– volume: 16
  start-page: R122
  year: 2012
  ident: 10.12997/jla.2022.11.2.133_ref9
  publication-title: Crit Care
  doi: 10.1186/cc11418
– start-page: CD003160
  issue: 2
  year: 2009
  ident: 10.12997/jla.2022.11.2.133_ref18
  publication-title: Cochrane Database Syst Rev
– volume: 102
  start-page: 15545
  year: 2005
  ident: 10.12997/jla.2022.11.2.133_ref33
  publication-title: Proc Natl Acad Sci U S A
  doi: 10.1073/pnas.0506580102
– volume: 10
  start-page: 242
  year: 2009
  ident: 10.12997/jla.2022.11.2.133_ref58
  publication-title: Genome Biol
  doi: 10.1186/gb-2009-10-10-242
– volume: 7
  start-page: 1
  year: 2007
  ident: 10.12997/jla.2022.11.2.133_ref65
  publication-title: Cardiovasc Toxicol
  doi: 10.1007/s12012-007-0003-7
– volume: 32
  start-page: 631
  year: 2016
  ident: 10.12997/jla.2022.11.2.133_ref7
  publication-title: Acta Cardiol Sin
– volume: 48
  start-page: 1022
  year: 2007
  ident: 10.12997/jla.2022.11.2.133_ref53
  publication-title: J Lipid Res
  doi: 10.1194/jlr.M600542-JLR200
– volume: 8
  start-page: 161
  year: 2013
  ident: 10.12997/jla.2022.11.2.133_ref71
  publication-title: Clin Lipidol
  doi: 10.2217/clp.13.7
– volume: 15
  start-page: 824
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref73
  publication-title: Neural Regen Res
  doi: 10.4103/1673-5374.268896
– volume: 35
  start-page: 14
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref70
  publication-title: Psychiatr Times
– volume: 10
  start-page: 540
  year: 2021
  ident: 10.12997/jla.2022.11.2.133_ref40
  publication-title: Cells
  doi: 10.3390/cells10030540
– volume: 7
  start-page: 7001
  year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref21
  publication-title: Sci Rep
  doi: 10.1038/s41598-017-07029-7
– volume: 471
  start-page: 42
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref27
  publication-title: Mol Cell Endocrinol
  doi: 10.1016/j.mce.2017.05.026
– volume: 282
  start-page: 26832
  year: 2007
  ident: 10.12997/jla.2022.11.2.133_ref69
  publication-title: J Biol Chem
  doi: 10.1074/jbc.M702640200
– volume: 7
  start-page: 96
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref74
  publication-title: Front Cell Dev Biol
  doi: 10.3389/fcell.2019.00096
– volume: 1
  start-page: 417
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref26
  publication-title: Cell Syst
  doi: 10.1016/j.cels.2015.12.004
– volume: 13
  start-page: e0196387
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref34
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0196387
– volume: 546
  start-page: 381
  year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref36
  publication-title: Nature
  doi: 10.1038/nature22405
– volume: 9
  start-page: 1158
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref56
  publication-title: Front Neurol
  doi: 10.3389/fneur.2018.01158
– start-page: 397
  volume-title: Bioinformatics and computational biology solutions using R and Bioconductor
  year: 2005
  ident: 10.12997/jla.2022.11.2.133_ref23
  doi: 10.1007/0-387-29362-0_23
– volume: 589
  start-page: 744
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref60
  publication-title: FEBS Lett
  doi: 10.1016/j.febslet.2015.02.003
– volume: 10
  start-page: e0138223
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref50
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0138223
– volume: 30
  start-page: 348
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref19
  publication-title: J Gen Intern Med
  doi: 10.1007/s11606-014-3115-3
– volume: 20
  start-page: 867
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref41
  publication-title: Mol Psychiatry
  doi: 10.1038/mp.2014.81
– volume: 15
  start-page: 501
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref43
  publication-title: Nat Rev Neurol
  doi: 10.1038/s41582-019-0228-7
– volume: 20
  start-page: 3
  year: 2021
  ident: 10.12997/jla.2022.11.2.133_ref3
  publication-title: Nat Rev Drug Discov
  doi: 10.1038/d41573-020-00217-7
– volume: 43
  start-page: 38
  year: 2011
  ident: 10.12997/jla.2022.11.2.133_ref62
  publication-title: Neurobiol Dis
  doi: 10.1016/j.nbd.2011.01.021
– volume: 67
  start-page: 983
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref12
  publication-title: Neurol India
  doi: 10.4103/0028-3886.266274
– volume: 38
  start-page: 103
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref35
  publication-title: J Cereb Blood Flow Metab
  doi: 10.1177/0271678X17690761
– volume: 1864
  start-page: 2162
  year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref51
  publication-title: Biochim Biophys Acta Mol Cell Res
  doi: 10.1016/j.bbamcr.2017.06.023
– volume: 13
  start-page: e0196387
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref75
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0196387
– volume: 4
  start-page: P3
  year: 2003
  ident: 10.12997/jla.2022.11.2.133_ref32
  publication-title: Genome Biol
  doi: 10.1186/gb-2003-4-5-p3
– volume: 47
  start-page: D330
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref24
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gky1055
– volume: 13
  start-page: 1673
  year: 2002
  ident: 10.12997/jla.2022.11.2.133_ref39
  publication-title: J Am Soc Nephrol
  doi: 10.1097/01.ASN.0000018400.39687.8C
– volume: 19
  start-page: 111
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref6
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(19)30480-6
– volume: 322
  start-page: 1589
  year: 2019
  ident: 10.12997/jla.2022.11.2.133_ref1
  publication-title: JAMA
  doi: 10.1001/jama.2019.4782
– volume: 79
  start-page: 596
  year: 2006
  ident: 10.12997/jla.2022.11.2.133_ref54
  publication-title: J Leukoc Biol
  doi: 10.1189/jlb.0705377
– volume: 24
  start-page: 2628
  year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref72
  publication-title: Curr Med Chem
  doi: 10.2174/0929867324666161118094711
– volume: 16
  start-page: 185
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref20
  publication-title: Genome Biol
  doi: 10.1186/s13059-015-0750-x
– volume: 31
  start-page: 166
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref30
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu638
– year: 2017
  ident: 10.12997/jla.2022.11.2.133_ref38
  publication-title: bioRxiv
– volume: 82
  start-page: 1381
  year: 2007
  ident: 10.12997/jla.2022.11.2.133_ref10
  publication-title: Mayo Clin Proc
  doi: 10.4065/82.11.1381
– volume: 9
  start-page: 559
  year: 2008
  ident: 10.12997/jla.2022.11.2.133_ref22
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-9-559
– volume: 32
  start-page: 3047
  year: 2016
  ident: 10.12997/jla.2022.11.2.133_ref29
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btw354
– volume: 290
  start-page: 8146
  year: 2015
  ident: 10.12997/jla.2022.11.2.133_ref61
  publication-title: J Biol Chem
  doi: 10.1074/jbc.M114.626952
– volume: 28
  start-page: 27
  year: 2000
  ident: 10.12997/jla.2022.11.2.133_ref25
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/28.1.27
– volume: 9
  start-page: 68
  year: 2012
  ident: 10.12997/jla.2022.11.2.133_ref49
  publication-title: Neurodegener Dis
  doi: 10.1159/000329999
– volume: 21
  start-page: S9
  issue: Suppl 6
  year: 2005
  ident: 10.12997/jla.2022.11.2.133_ref8
  publication-title: Curr Med Res Opin
  doi: 10.1185/030079905X59102
– volume: 15
  start-page: 550
  year: 2014
  ident: 10.12997/jla.2022.11.2.133_ref31
  publication-title: Genome Biol
  doi: 10.1186/s13059-014-0550-8
– volume: 8
  start-page: 5804
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref16
  publication-title: Sci Rep
  doi: 10.1038/s41598-018-24248-8
– volume: 6
  start-page: e12108
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref14
  publication-title: Alzheimers Dement (N Y)
  doi: 10.1002/trc2.12108
– volume: 8
  start-page: 328
  year: 2016
  ident: 10.12997/jla.2022.11.2.133_ref67
  publication-title: EMBO Mol Med
  doi: 10.15252/emmm.201505846
– volume: 25
  start-page: 9171
  year: 2005
  ident: 10.12997/jla.2022.11.2.133_ref63
  publication-title: J Neurosci
  doi: 10.1523/JNEUROSCI.3040-05.2005
– volume: 14
  start-page: 1129
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref44
  publication-title: Autophagy
  doi: 10.1080/15548627.2018.1438807
– volume: 7
  start-page: 262
  year: 2010
  ident: 10.12997/jla.2022.11.2.133_ref42
  publication-title: Curr Alzheimer Res
  doi: 10.2174/156720510791050821
– volume: 4
  start-page: e6501
  year: 2009
  ident: 10.12997/jla.2022.11.2.133_ref37
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0006501
– volume: 88
  start-page: 605
  year: 2014
  ident: 10.12997/jla.2022.11.2.133_ref47
  publication-title: Biochem Pharmacol
  doi: 10.1016/j.bcp.2013.10.030
– volume: 141
  start-page: 2755
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref64
  publication-title: Brain
– volume: 5
  start-page: 347
  year: 2004
  ident: 10.12997/jla.2022.11.2.133_ref46
  publication-title: Nat Rev Neurosci
  doi: 10.1038/nrn1387
– volume: 53
  start-page: 4489
  year: 2014
  ident: 10.12997/jla.2022.11.2.133_ref45
  publication-title: Biochemistry
  doi: 10.1021/bi500373k
– volume: 559
  start-page: S4
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref4
  publication-title: Nature
  doi: 10.1038/d41586-018-05719-4
– volume: 27
  start-page: 3797
  year: 2008
  ident: 10.12997/jla.2022.11.2.133_ref48
  publication-title: Oncogene
  doi: 10.1038/onc.2008.32
– volume: 12
  start-page: 1179573520907397
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref2
  publication-title: J Cent Nerv Syst Dis
  doi: 10.1177/1179573520907397
– volume: 130
  start-page: 1912
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref57
  publication-title: J Clin Invest
  doi: 10.1172/JCI133737
– volume: 97
  start-page: e11304
  year: 2018
  ident: 10.12997/jla.2022.11.2.133_ref15
  publication-title: Medicine (Baltimore)
  doi: 10.1097/MD.0000000000011304
– volume: 12
  start-page: 225
  year: 2016
  ident: 10.12997/jla.2022.11.2.133_ref52
  publication-title: Autophagy
  doi: 10.1080/15548627.2015.1121360
– volume: 54
  start-page: 214
  year: 2020
  ident: 10.12997/jla.2022.11.2.133_ref17
  publication-title: Neuroepidemiology
  doi: 10.1159/000503105
SSID ssj0000942067
Score 2.2025743
Snippet Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk of...
Objective: Alzheimer's disease (AD) is the most common cause of dementia. The statins have shown beneficial effects on cognitive functions and reduced the risk...
SourceID nrf
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 133
SubjectTerms Original
내과학
Title Exploring the Genetic Associations Between the Use of Statins and Alzheimer's Disease
URI https://www.ncbi.nlm.nih.gov/pubmed/35656152
https://www.proquest.com/docview/2673356404
https://pubmed.ncbi.nlm.nih.gov/PMC9133776
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002841176
Volume 11
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
ispartofPNX 지질·동맥경화학회지, 2022, 11(2), , pp.133-146
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELbYRUJ7QcDyKC8ZhOBQZWkerbfHgkAFaTltpeVk5WFvs9smVR-H7q_nG9tJ03ZBwMWtHCdx8n0Zz3jGY8beKe37aaIDD-OH8iKV4ZtT5IXv6E4c-XG3o2lC_-xHbziKvl90LzYBmWZ1yTI5SW9uXVfyP6iiDrjSKtl_QLa-KCrwH_iiBMIo_wrjTQAdqY-UQZrSrzbe-KL9ycVhGf3SztuTfkmBMTRlPpjcjFVudlARC0rFWXtr9hXWST7LM5vclbTGcoHeoMxrrbwK6skTZR-2WlZtw3_Ga9X0-Rsi_lxN89264XpVtM9ctZuQgC1bh_9ZuRXACPNgx20LWb9BpqAhMX2bB2NPkmOYJGfy1YSSQwUBRPsJiu3GQGM2NdiGpJf6NhfuTv7s6tABuxsIYVz51YzOlY2spAz2tAdh1W-3top68HHv_kfsXnXFLVXmoJjr26yU3WDbhvZy_oDddyjygeXQQ3ZHFY_Y8aCIl-V0zd9zEwhsPCzHbFTTigNn7mjFm7TijlamAWjFS80drTgIwmtafVhwR6rHbPT1y_nnoed23_DSsOuHXtzXqqNiqPPqVEPvjBVZE6GAzIZCo_sYYUVXqyxMgl4SdwKtuynEP95LP0t6qQifsMOiLNQzxvUpRokoo0xOSRQpFSdKRFksslBA5da6xfzqRcrUpaanHVImkkxUwkECB0k4wGKVKMKwxdr1OTObmOWPrd8CH3md5pLyqdPvZSmv5xJW4zeJUyJYIi32poJPQsiS5ywuVLlayKAnQqCO_rfYUwtnfdOKDS0mtoCuG9ANt48U-dgkcu-jZ0L0nv_2mi_Y0eYLe8kOl_OVegUleJm8Niz-BcT5rkk
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Exploring+the+Genetic+Associations+Between+the+Use+of+Statins+and+Alzheimer%27s+Disease&rft.jtitle=Journal+of+lipid+and+atherosclerosis&rft.au=Lee%2C+Jibeom&rft.au=Park%2C+Suhyeon&rft.au=Kim%2C+Yumin&rft.au=Kim%2C+Hyun+Min&rft.date=2022-05-01&rft.issn=2287-2892&rft.volume=11&rft.issue=2&rft.spage=133&rft_id=info:doi/10.12997%2Fjla.2022.11.2.133&rft_id=info%3Apmid%2F35656152&rft.externalDocID=35656152
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2287-2892&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2287-2892&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2287-2892&client=summon