Literature DB >> 26661209

Blood metabolite markers of cognitive performance and brain function in aging.

Brittany N Simpson1, Min Kim2, Yi-Fang Chuang3, Lori Beason-Held4, Melissa Kitner-Triolo5, Michael Kraut6, Seth T Lirette7, B Gwen Windham8, Michael E Griswold8, Cristina Legido-Quigley2, Madhav Thambisetty9.   

Abstract

We recently showed that Alzheimer's disease patients have lower plasma concentrations of the phosphatidylcholines (PC16:0/20:5; PC16:0/22:6; and PC18:0/22:6) relative to healthy controls. We now extend these findings by examining associations between plasma concentrations of these PCs with cognition and brain function (measured by regional resting state cerebral blood flow; rCBF) in non-demented older individuals. Within the Baltimore Longitudinal Study of Aging neuroimaging substudy, participants underwent cognitive assessments and brain (15)O-water positron emission tomography. Plasma phosphatidylcholines concentrations (PC16:0/20:5, PC16:0/22:6, and PC18:0/22:6), cognition (California Verbal Learning Test (CVLT), Trail Making Test A&B, the Mini-Mental State Examination, Benton Visual Retention, Card Rotation, and Fluencies-Category and Letter), and rCBF were assessed. Lower plasma phosphatidylcholine concentrations were associated with lower baseline memory performance (CVLT long delay recall task-PC16:0/20:5: -2.17-1.39-0.60 p = 0.001 (β with 95% confidence interval subscripts)) and lower rCBF in several brain regions including those associated with memory performance and higher order cognitive processes. Our findings suggest that lower plasma concentrations of PC16:0/20:5, PC16:0/22:6, and PC18:0/22:6 are associated with poorer memory performance as well as widespread decreases in brain function during aging. Dysregulation of peripheral phosphatidylcholine metabolism may therefore be a common feature of both Alzheimer's disease and age-associated differences in cognition.
© The Author(s) 2015.

Entities:  

Keywords:  Alzheimer’s disease's; biomarker; phosphatidylcholine; positron emission tomography imaging; verbal memory

Mesh:

Substances:

Year:  2015        PMID: 26661209      PMCID: PMC4929698          DOI: 10.1177/0271678X15611678

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  40 in total

1.  Brain activation on fMRI and verbal memory ability: functional neuroanatomic correlates of CVLT performance.

Authors:  S C Johnson; A J Saykin; L A Flashman; T W McAllister; M B Sparling
Journal:  J Int Neuropsychol Soc       Date:  2001-01       Impact factor: 2.892

Review 2.  Review: does measurement of regional cerebral blood flow reflect synaptic activity? Implications for PET and fMRI.

Authors:  M Jueptner; C Weiller
Journal:  Neuroimage       Date:  1995-06       Impact factor: 6.556

3.  Hippocampal-prefrontal encoding activation predicts whether words can be successfully recalled or only recognized.

Authors:  Stefanie Brassen; Wolfgang Weber-Fahr; Tobias Sommer; Jan T Lehmbeck; Dieter F Braus
Journal:  Behav Brain Res       Date:  2006-05-24       Impact factor: 3.332

4.  ApoE-directed therapeutics rapidly clear β-amyloid and reverse deficits in AD mouse models.

Authors:  Paige E Cramer; John R Cirrito; Daniel W Wesson; C Y Daniel Lee; J Colleen Karlo; Adriana E Zinn; Brad T Casali; Jessica L Restivo; Whitney D Goebel; Michael J James; Kurt R Brunden; Donald A Wilson; Gary E Landreth
Journal:  Science       Date:  2012-02-09       Impact factor: 47.728

5.  Serum sphingomyelins and ceramides are early predictors of memory impairment.

Authors:  Michelle M Mielke; Veera Venkata Ratnam Bandaru; Norman J Haughey; Peter V Rabins; Constantine G Lyketsos; Michelle C Carlson
Journal:  Neurobiol Aging       Date:  2008-05-05       Impact factor: 4.673

Review 6.  Cognitive enhancement by omega-3 fatty acids from child-hood to old age: findings from animal and clinical studies.

Authors:  Dirk W Luchtman; Cai Song
Journal:  Neuropharmacology       Date:  2012-07-27       Impact factor: 5.250

7.  Changes in brain function occur years before the onset of cognitive impairment.

Authors:  Lori L Beason-Held; Joshua O Goh; Yang An; Michael A Kraut; Richard J O'Brien; Luigi Ferrucci; Susan M Resnick
Journal:  J Neurosci       Date:  2013-11-13       Impact factor: 6.167

8.  Alzheimer risk variant CLU and brain function during aging.

Authors:  Madhav Thambisetty; Lori L Beason-Held; Yang An; Michael Kraut; Michael Nalls; Dena G Hernandez; Andrew B Singleton; Alan B Zonderman; Luigi Ferrucci; Simon Lovestone; Susan M Resnick
Journal:  Biol Psychiatry       Date:  2012-07-15       Impact factor: 13.382

9.  Identification of altered metabolic pathways in plasma and CSF in mild cognitive impairment and Alzheimer's disease using metabolomics.

Authors:  Eugenia Trushina; Tumpa Dutta; Xuan-Mai T Persson; Michelle M Mielke; Ronald C Petersen
Journal:  PLoS One       Date:  2013-05-20       Impact factor: 3.240

10.  Metabolome in progression to Alzheimer's disease.

Authors:  M Orešič; T Hyötyläinen; S-K Herukka; M Sysi-Aho; I Mattila; T Seppänan-Laakso; V Julkunen; P V Gopalacharyulu; M Hallikainen; J Koikkalainen; M Kivipelto; S Helisalmi; J Lötjönen; H Soininen
Journal:  Transl Psychiatry       Date:  2011-12-13       Impact factor: 6.222

View more
  23 in total

1.  Targeted Lipidomics To Measure Phospholipids and Sphingomyelins in Plasma: A Pilot Study To Understand the Impact of Race/Ethnicity in Alzheimer's Disease.

Authors:  Mostafa J Khan; Nadjali A Chung; Shania Hansen; Logan Dumitrescu; Timothy J Hohman; M Ilyas Kamboh; Oscar L Lopez; Renã A S Robinson
Journal:  Anal Chem       Date:  2022-03-02       Impact factor: 8.008

2.  Sex Differences in the Metabolome of Alzheimer's Disease Progression.

Authors:  Tomás González Zarzar; Brian Lee; Rory Coughlin; Dokyoon Kim; Li Shen; Molly A Hall
Journal:  Front Radiol       Date:  2022-03-14

3.  SPARCL1 Accelerates Symptom Onset in Alzheimer's Disease and Influences Brain Structure and Function During Aging.

Authors:  Sahba Seddighi; Vijay R Varma; Yang An; Sudhir Varma; Lori L Beason-Held; Toshiko Tanaka; Melissa H Kitner-Triolo; Michael A Kraut; Christos Davatzikos; Madhav Thambisetty
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

4.  Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer's disease.

Authors:  Jodie Lord; Bradley Jermy; Rebecca Green; Andrew Wong; Jin Xu; Cristina Legido-Quigley; Richard Dobson; Marcus Richards; Petroula Proitsi
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-20       Impact factor: 11.205

5.  Metabolic network failures in Alzheimer's disease: A biochemical road map.

Authors:  Jon B Toledo; Matthias Arnold; Gabi Kastenmüller; Rui Chang; Rebecca A Baillie; Xianlin Han; Madhav Thambisetty; Jessica D Tenenbaum; Karsten Suhre; J Will Thompson; Lisa St John-Williams; Siamak MahmoudianDehkordi; Daniel M Rotroff; John R Jack; Alison Motsinger-Reif; Shannon L Risacher; Colette Blach; Joseph E Lucas; Tyler Massaro; Gregory Louie; Hongjie Zhu; Guido Dallmann; Kristaps Klavins; Therese Koal; Sungeun Kim; Kwangsik Nho; Li Shen; Ramon Casanova; Sudhir Varma; Cristina Legido-Quigley; M Arthur Moseley; Kuixi Zhu; Marc Y R Henrion; Sven J van der Lee; Amy C Harms; Ayse Demirkan; Thomas Hankemeier; Cornelia M van Duijn; John Q Trojanowski; Leslie M Shaw; Andrew J Saykin; Michael W Weiner; P Murali Doraiswamy; Rima Kaddurah-Daouk
Journal:  Alzheimers Dement       Date:  2017-03-22       Impact factor: 16.655

6.  Apolipoprotein E polymorphisms increase the risk of post-stroke depression.

Authors:  Xue-Bin Li; Jie Wang; An-Ding Xu; Jian-Min Huang; Lan-Qing Meng; Rui-Ya Huang; Jun-Li Wang
Journal:  Neural Regen Res       Date:  2016-11       Impact factor: 5.135

7.  Association between fatty acid metabolism in the brain and Alzheimer disease neuropathology and cognitive performance: A nontargeted metabolomic study.

Authors:  Stuart G Snowden; Amera A Ebshiana; Abdul Hye; Yang An; Olga Pletnikova; Richard O'Brien; John Troncoso; Cristina Legido-Quigley; Madhav Thambisetty
Journal:  PLoS Med       Date:  2017-03-21       Impact factor: 11.069

8.  Targeted metabolomics and medication classification data from participants in the ADNI1 cohort.

Authors:  Lisa St John-Williams; Colette Blach; Jon B Toledo; Daniel M Rotroff; Sungeun Kim; Kristaps Klavins; Rebecca Baillie; Xianlin Han; Siamak Mahmoudiandehkordi; John Jack; Tyler J Massaro; Joseph E Lucas; Gregory Louie; Alison A Motsinger-Reif; Shannon L Risacher; Andrew J Saykin; Gabi Kastenmüller; Matthias Arnold; Therese Koal; M Arthur Moseley; Lara M Mangravite; Mette A Peters; Jessica D Tenenbaum; J Will Thompson; Rima Kaddurah-Daouk
Journal:  Sci Data       Date:  2017-10-17       Impact factor: 6.444

9.  Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study.

Authors:  Vijay R Varma; Anup M Oommen; Sudhir Varma; Ramon Casanova; Yang An; Ryan M Andrews; Richard O'Brien; Olga Pletnikova; Juan C Troncoso; Jon Toledo; Rebecca Baillie; Matthias Arnold; Gabi Kastenmueller; Kwangsik Nho; P Murali Doraiswamy; Andrew J Saykin; Rima Kaddurah-Daouk; Cristina Legido-Quigley; Madhav Thambisetty
Journal:  PLoS Med       Date:  2018-01-25       Impact factor: 11.069

10.  Association between Plasma Ceramides and Phosphatidylcholines and Hippocampal Brain Volume in Late Onset Alzheimer's Disease.

Authors:  Min Kim; Alejo Nevado-Holgado; Luke Whiley; Stuart G Snowden; Hilkka Soininen; Iwona Kloszewska; Patrizia Mecocci; Magda Tsolaki; Bruno Vellas; Madhav Thambisetty; Richard J B Dobson; John F Powell; Michelle K Lupton; Andy Simmons; Latha Velayudhan; Simon Lovestone; Petroula Proitsi; Cristina Legido-Quigley
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.