Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study
ABSTRACT: Importance: Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1) E280A mutation carriers and noncarriers from the world’s largest known autosomal dominant Alzheimer disease (AD) kindred. Objective:To characterize and compare ag...
- Autores:
-
Lopera Restrepo, Francisco Javier
Fleisher, Adam S.
Chen, Kewei
Quiroz Gaviria, Yakeel Tatiana
Jakimovich, Laura J.
Gutiérrez Gómez, Madelyn
Langois, Carolyn M.
Langbaum, Jessica B. S.
Roontiva, Auttawut
Thiyyagura, Pradeep
Lee, Wendy
Ayutyanont, Napatkamon
López, Liliana
Moreno Másmela, Sonia
Muñoz, Claudia
Tirado Pérez, Victoria Claudia
Acosta Baena, Natalia
Fagan, Anne M.
Giraldo Chica, Margarita María
García Ospina, Gloria Patricia
Huentelman, Matthew J.
Tariot, Pierre N.
Reiman, Eric M.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2015
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/32981
- Acceso en línea:
- https://hdl.handle.net/10495/32981
- Palabra clave:
- Envejecimiento
Aging
Enfermedad de Alzheimer
Alzheimer Disease
Péptidos beta-Amiloides
Amyloid beta-Peptides
Biomarcadores
Biomarkers
Estudios Transversales
Cross-Sectional Studies
Fragmentos de Péptidos
Peptide Fragments
Presenilina-1
Presenilin-1
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
| id |
UDEA2_ed0f3e3f3dfd781ccce406650128f195 |
|---|---|
| oai_identifier_str |
oai:bibliotecadigital.udea.edu.co:10495/32981 |
| network_acronym_str |
UDEA2 |
| network_name_str |
Repositorio UdeA |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| title |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| spellingShingle |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study Envejecimiento Aging Enfermedad de Alzheimer Alzheimer Disease Péptidos beta-Amiloides Amyloid beta-Peptides Biomarcadores Biomarkers Estudios Transversales Cross-Sectional Studies Fragmentos de Péptidos Peptide Fragments Presenilina-1 Presenilin-1 |
| title_short |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| title_full |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| title_fullStr |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| title_full_unstemmed |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| title_sort |
Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study |
| dc.creator.fl_str_mv |
Lopera Restrepo, Francisco Javier Fleisher, Adam S. Chen, Kewei Quiroz Gaviria, Yakeel Tatiana Jakimovich, Laura J. Gutiérrez Gómez, Madelyn Langois, Carolyn M. Langbaum, Jessica B. S. Roontiva, Auttawut Thiyyagura, Pradeep Lee, Wendy Ayutyanont, Napatkamon López, Liliana Moreno Másmela, Sonia Muñoz, Claudia Tirado Pérez, Victoria Claudia Acosta Baena, Natalia Fagan, Anne M. Giraldo Chica, Margarita María García Ospina, Gloria Patricia Huentelman, Matthew J. Tariot, Pierre N. Reiman, Eric M. |
| dc.contributor.author.none.fl_str_mv |
Lopera Restrepo, Francisco Javier Fleisher, Adam S. Chen, Kewei Quiroz Gaviria, Yakeel Tatiana Jakimovich, Laura J. Gutiérrez Gómez, Madelyn Langois, Carolyn M. Langbaum, Jessica B. S. Roontiva, Auttawut Thiyyagura, Pradeep Lee, Wendy Ayutyanont, Napatkamon López, Liliana Moreno Másmela, Sonia Muñoz, Claudia Tirado Pérez, Victoria Claudia Acosta Baena, Natalia Fagan, Anne M. Giraldo Chica, Margarita María García Ospina, Gloria Patricia Huentelman, Matthew J. Tariot, Pierre N. Reiman, Eric M. |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Neurociencias de Antioquia |
| dc.subject.decs.none.fl_str_mv |
Envejecimiento Aging Enfermedad de Alzheimer Alzheimer Disease Péptidos beta-Amiloides Amyloid beta-Peptides Biomarcadores Biomarkers Estudios Transversales Cross-Sectional Studies Fragmentos de Péptidos Peptide Fragments Presenilina-1 Presenilin-1 |
| topic |
Envejecimiento Aging Enfermedad de Alzheimer Alzheimer Disease Péptidos beta-Amiloides Amyloid beta-Peptides Biomarcadores Biomarkers Estudios Transversales Cross-Sectional Studies Fragmentos de Péptidos Peptide Fragments Presenilina-1 Presenilin-1 |
| description |
ABSTRACT: Importance: Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1) E280A mutation carriers and noncarriers from the world’s largest known autosomal dominant Alzheimer disease (AD) kindred. Objective:To characterize and compare age-associated changes in brain imaging and fluid biomarkers in PSEN1 E280A mutation carriers and noncarriers. Design, Setting, and Participants: Cross-sectional measures of 18F-florbetapir positron emission tomography, 18F-fludeoxyglucose positron emission tomography, structural magnetic resonance imaging, cerebrospinal fluid (CSF), and plasma biomarkers of AD were assessed from 54 PSEN1 E280A kindred members (age range, 20-59 years). Main Outcomes and Measures: We used brain mapping algorithms to compare regional cerebral metabolic rates for glucose and gray matter volumes in cognitively unimpaired mutation carriers and noncarriers. We used regression analyses to characterize associations between age and the mean cortical to pontine 18F-florbetapir standard uptake value ratios, precuneus cerebral metabolic rates for glucose, hippocampal gray matter volume, CSF Aβ1-42, total tau and phosphorylated tau181, and plasma Aβ measurements. Age at onset of progressive biomarker changes that distinguish carriers from noncarriers was estimated using best-fitting regression models. Results: Compared with noncarriers, cognitively unimpaired mutation carriers had significantly lower precuneus cerebral metabolic rates for glucose, smaller hippocampal volume, lower CSF Aβ1-42, higher CSF total tau and phosphorylated tau181, and higher plasma Aβ1-42 measurements. Sequential changes in biomarkers were seen at age 20 years (95% CI, 14-24 years) for CSF Aβ1-42, age 16 years (95% CI, 11-24 years) for the mean cortical 18F-florbetapir standard uptake value ratio, age 15 years (95% CI, 10-24 years) for precuneus cerebral metabolic rate for glucose, age 15 years (95% CI, 7-20 years) for CSF total tau, age 13 years (95% CI, 8-19 years) for phosphorylated tau181, and age 6 years (95% CI, 1-10 years) for hippocampal volume, with cognitive decline up to 6 years before the kindred’s estimated median age of 44 years (95% CI, 43-45 years) at mild cognitive impairment diagnosis. No age-associated findings were seen in plasma Aβ1-42 or Aβ1-40. Conclusions and Relevance: This cross-sectional study provides additional information about the course of different AD biomarkers in the preclinical and clinical stages of autosomal dominant AD. |
| publishDate |
2015 |
| dc.date.issued.none.fl_str_mv |
2015 |
| dc.date.accessioned.none.fl_str_mv |
2022-12-25T21:32:15Z |
| dc.date.available.none.fl_str_mv |
2022-12-25T21:32:15Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
| dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| status_str |
publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Fleisher AS, Chen K, Quiroz YT, Jakimovich LJ, Gutierrez Gomez M, Langois CM, Langbaum JB, Roontiva A, Thiyyagura P, Lee W, Ayutyanont N, Lopez L, Moreno S, Muñoz C, Tirado V, Acosta-Baena N, Fagan AM, Giraldo M, Garcia G, Huentelman MJ, Tariot PN, Lopera F, Reiman EM. Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study. JAMA Neurol. 2015 Mar;72(3):316-24. doi: 10.1001/jamaneurol.2014.3314 |
| dc.identifier.issn.none.fl_str_mv |
2168-6149 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/32981 |
| dc.identifier.doi.none.fl_str_mv |
10.1001/jamaneurol.2014.3314 |
| dc.identifier.eissn.none.fl_str_mv |
2168-6157 |
| identifier_str_mv |
Fleisher AS, Chen K, Quiroz YT, Jakimovich LJ, Gutierrez Gomez M, Langois CM, Langbaum JB, Roontiva A, Thiyyagura P, Lee W, Ayutyanont N, Lopez L, Moreno S, Muñoz C, Tirado V, Acosta-Baena N, Fagan AM, Giraldo M, Garcia G, Huentelman MJ, Tariot PN, Lopera F, Reiman EM. Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study. JAMA Neurol. 2015 Mar;72(3):316-24. doi: 10.1001/jamaneurol.2014.3314 2168-6149 10.1001/jamaneurol.2014.3314 2168-6157 |
| url |
https://hdl.handle.net/10495/32981 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
JAMA Neurol. |
| dc.relation.citationendpage.spa.fl_str_mv |
324 |
| dc.relation.citationissue.spa.fl_str_mv |
3 |
| dc.relation.citationstartpage.spa.fl_str_mv |
316 |
| dc.relation.citationvolume.spa.fl_str_mv |
72 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
JAMA Neurology |
| dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ |
| dc.rights.uri.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/2.5/co/ https://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
9 |
| dc.format.mimetype.spa.fl_str_mv |
application/pdf |
| dc.publisher.spa.fl_str_mv |
American Medical Association |
| dc.publisher.place.spa.fl_str_mv |
Chicago, Estados Unidos |
| institution |
Universidad de Antioquia |
| bitstream.url.fl_str_mv |
https://bibliotecadigital.udea.edu.co/bitstreams/f838ed64-6f5f-47a4-9e52-3fb6f9625fff/download https://bibliotecadigital.udea.edu.co/bitstreams/fc16e7dd-ff71-49bc-9196-c26fa0624841/download https://bibliotecadigital.udea.edu.co/bitstreams/76da9f8a-0375-403f-aae9-18c0d6c7eeac/download https://bibliotecadigital.udea.edu.co/bitstreams/56bb8bfb-3c18-4057-8f5b-db44ddb7be4a/download https://bibliotecadigital.udea.edu.co/bitstreams/d8ff7703-045e-47fe-a0cc-f909148275d8/download |
| bitstream.checksum.fl_str_mv |
c470187610b2cd13b80b11daae54863c b88b088d9957e670ce3b3fbe2eedbc13 8a4605be74aa9ea9d79846c1fba20a33 13d176072330cd7835e6206dc2137ea2 e3770f9ff00d8ce0b50f1c586db9549e |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional de la Universidad de Antioquia |
| repository.mail.fl_str_mv |
aplicacionbibliotecadigitalbiblioteca@udea.edu.co |
| _version_ |
1851052627111968768 |
| spelling |
Lopera Restrepo, Francisco JavierFleisher, Adam S.Chen, KeweiQuiroz Gaviria, Yakeel TatianaJakimovich, Laura J.Gutiérrez Gómez, MadelynLangois, Carolyn M.Langbaum, Jessica B. S.Roontiva, AuttawutThiyyagura, PradeepLee, WendyAyutyanont, NapatkamonLópez, LilianaMoreno Másmela, SoniaMuñoz, ClaudiaTirado Pérez, Victoria ClaudiaAcosta Baena, NataliaFagan, Anne M.Giraldo Chica, Margarita MaríaGarcía Ospina, Gloria PatriciaHuentelman, Matthew J.Tariot, Pierre N.Reiman, Eric M.Grupo de Neurociencias de Antioquia2022-12-25T21:32:15Z2022-12-25T21:32:15Z2015Fleisher AS, Chen K, Quiroz YT, Jakimovich LJ, Gutierrez Gomez M, Langois CM, Langbaum JB, Roontiva A, Thiyyagura P, Lee W, Ayutyanont N, Lopez L, Moreno S, Muñoz C, Tirado V, Acosta-Baena N, Fagan AM, Giraldo M, Garcia G, Huentelman MJ, Tariot PN, Lopera F, Reiman EM. Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional study. JAMA Neurol. 2015 Mar;72(3):316-24. doi: 10.1001/jamaneurol.2014.33142168-6149https://hdl.handle.net/10495/3298110.1001/jamaneurol.2014.33142168-6157ABSTRACT: Importance: Age-associated changes in brain imaging and fluid biomarkers are characterized and compared in presenilin 1 (PSEN1) E280A mutation carriers and noncarriers from the world’s largest known autosomal dominant Alzheimer disease (AD) kindred. Objective:To characterize and compare age-associated changes in brain imaging and fluid biomarkers in PSEN1 E280A mutation carriers and noncarriers. Design, Setting, and Participants: Cross-sectional measures of 18F-florbetapir positron emission tomography, 18F-fludeoxyglucose positron emission tomography, structural magnetic resonance imaging, cerebrospinal fluid (CSF), and plasma biomarkers of AD were assessed from 54 PSEN1 E280A kindred members (age range, 20-59 years). Main Outcomes and Measures: We used brain mapping algorithms to compare regional cerebral metabolic rates for glucose and gray matter volumes in cognitively unimpaired mutation carriers and noncarriers. We used regression analyses to characterize associations between age and the mean cortical to pontine 18F-florbetapir standard uptake value ratios, precuneus cerebral metabolic rates for glucose, hippocampal gray matter volume, CSF Aβ1-42, total tau and phosphorylated tau181, and plasma Aβ measurements. Age at onset of progressive biomarker changes that distinguish carriers from noncarriers was estimated using best-fitting regression models. Results: Compared with noncarriers, cognitively unimpaired mutation carriers had significantly lower precuneus cerebral metabolic rates for glucose, smaller hippocampal volume, lower CSF Aβ1-42, higher CSF total tau and phosphorylated tau181, and higher plasma Aβ1-42 measurements. Sequential changes in biomarkers were seen at age 20 years (95% CI, 14-24 years) for CSF Aβ1-42, age 16 years (95% CI, 11-24 years) for the mean cortical 18F-florbetapir standard uptake value ratio, age 15 years (95% CI, 10-24 years) for precuneus cerebral metabolic rate for glucose, age 15 years (95% CI, 7-20 years) for CSF total tau, age 13 years (95% CI, 8-19 years) for phosphorylated tau181, and age 6 years (95% CI, 1-10 years) for hippocampal volume, with cognitive decline up to 6 years before the kindred’s estimated median age of 44 years (95% CI, 43-45 years) at mild cognitive impairment diagnosis. No age-associated findings were seen in plasma Aβ1-42 or Aβ1-40. Conclusions and Relevance: This cross-sectional study provides additional information about the course of different AD biomarkers in the preclinical and clinical stages of autosomal dominant AD.COL00107449application/pdfengAmerican Medical AssociationChicago, Estados Unidoshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Associations between biomarkers and age in the presenilin 1 E280A autosomal dominant Alzheimer disease kindred: a cross-sectional studyArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionEnvejecimientoAgingEnfermedad de AlzheimerAlzheimer DiseasePéptidos beta-AmiloidesAmyloid beta-PeptidesBiomarcadoresBiomarkersEstudios TransversalesCross-Sectional StudiesFragmentos de PéptidosPeptide FragmentsPresenilina-1Presenilin-1JAMA Neurol.324331672JAMA NeurologyPublicationORIGINALLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdfLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdfArtículo de investigaciónapplication/pdf427808https://bibliotecadigital.udea.edu.co/bitstreams/f838ed64-6f5f-47a4-9e52-3fb6f9625fff/downloadc470187610b2cd13b80b11daae54863cMD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstreams/fc16e7dd-ff71-49bc-9196-c26fa0624841/downloadb88b088d9957e670ce3b3fbe2eedbc13MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/76da9f8a-0375-403f-aae9-18c0d6c7eeac/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdf.txtLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdf.txtExtracted texttext/plain48991https://bibliotecadigital.udea.edu.co/bitstreams/56bb8bfb-3c18-4057-8f5b-db44ddb7be4a/download13d176072330cd7835e6206dc2137ea2MD54falseAnonymousREADTHUMBNAILLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdf.jpgLoperaFrancisco_2015_BiomarkersDominantAlzheimer.pdf.jpgGenerated Thumbnailimage/jpeg12666https://bibliotecadigital.udea.edu.co/bitstreams/d8ff7703-045e-47fe-a0cc-f909148275d8/downloade3770f9ff00d8ce0b50f1c586db9549eMD55falseAnonymousREAD10495/32981oai:bibliotecadigital.udea.edu.co:10495/329812025-03-27 01:16:50.76http://creativecommons.org/licenses/by-nc-nd/2.5/co/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
