Literature DB >> 35445358

Investigating the combination of plasma amyloid-beta and geroscience biomarkers on the incidence of clinically meaningful cognitive decline in older adults.

Wan-Hsuan Lu1,2, Kelly Virecoulon Giudici1, John E Morley3, Sophie Guyonnet1,2, Angelo Parini4, Geetika Aggarwal3,5, Andrew D Nguyen3,5, Yan Li6,7, Randall J Bateman6, Bruno Vellas1,2, Philipe de Souto Barreto1,2.   

Abstract

We investigated combining a core AD neuropathology measure (plasma amyloid-beta [Aβ] 42/40) with five plasma markers of inflammation, cellular stress, and neurodegeneration to predict cognitive decline. Among 401 participants free of dementia (median [IQR] age, 76 [73-80] years) from the Multidomain Alzheimer Preventive Trial (MAPT), 28 (7.0%) participants developed dementia, and 137 (34.2%) had worsening of clinical dementia rating (CDR) scale over 4 years. In the models utilizing plasma Aβ alone, a tenfold increased risk of incident dementia (nonsignificant) and a fivefold increased risk of worsening CDR were observed as each nature log unit increased in plasma Aβ levels. Models incorporating Aβ plus multiple plasma biomarkers performed similarly to models included Aβ alone in predicting dementia and CDR progression. However, improving Aβ model performance for composite cognitive score (CCS) decline, a proxy of dementia, was observed after including plasma monocyte chemoattractant protein 1 (MCP1) and growth differentiation factor 15 (GDF15) as covariates. Participants with abnormal Aβ, GDF15, and MCP1 presented higher CCS decline (worsening cognitive function) compared to their normal-biomarker counterparts (adjusted β [95% CI], - 0.21 [- 0.35 to - 0.06], p = 0.005). In conclusion, our study found limited added values of multi-biomarkers beyond the basic Aβ models for predicting clinically meaningful cognitive decline among non-demented older adults. However, a combined assessment of inflammatory and cellular stress status with Aβ pathology through measuring plasma biomarkers may improve the evaluation of cognitive performance.
© 2022. The Author(s), under exclusive licence to American Aging Association.

Entities:  

Keywords:  Aging; Alzheimer’s disease; Amyloid-beta; Cognitive decline; Inflammation; Neurodegeneration

Mesh:

Substances:

Year:  2022        PMID: 35445358      PMCID: PMC9213609          DOI: 10.1007/s11357-022-00554-y

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  23 in total

1.  Plasma amyloid is associated with the rate of cognitive decline in cognitively normal elderly: the SCIENCe project.

Authors:  Inge M W Verberk; Heleen M A Hendriksen; Argonde C van Harten; Linda M P Wesselman; Sander C J Verfaillie; Karlijn A van den Bosch; Rosalinde E R Slot; Niels D Prins; Philip Scheltens; Charlotte E Teunissen; Wiesje M Van der Flier
Journal:  Neurobiol Aging       Date:  2020-01-15       Impact factor: 4.673

2.  The Clinical Dementia Rating (CDR): current version and scoring rules.

Authors:  J C Morris
Journal:  Neurology       Date:  1993-11       Impact factor: 9.910

3.  Effect of long-term omega 3 polyunsaturated fatty acid supplementation with or without multidomain intervention on cognitive function in elderly adults with memory complaints (MAPT): a randomised, placebo-controlled trial.

Authors:  Sandrine Andrieu; Sophie Guyonnet; Nicola Coley; Christelle Cantet; Marc Bonnefoy; Serge Bordes; Lawrence Bories; Marie-Noëlle Cufi; Thierry Dantoine; Jean-François Dartigues; Françoise Desclaux; Audrey Gabelle; Yannick Gasnier; Alain Pesce; Kristel Sudres; Jacques Touchon; Philippe Robert; Olivier Rouaud; Philippe Legrand; Pierre Payoux; Jean-Paul Caubere; Michael Weiner; Isabelle Carrié; Pierre-Jean Ousset; Bruno Vellas
Journal:  Lancet Neurol       Date:  2017-03-27       Impact factor: 44.182

4.  Macrophage inhibitory cytokine-1 is associated with cognitive impairment and predicts cognitive decline - the Sydney Memory and Aging Study.

Authors:  Talia Fuchs; Julian N Trollor; John Crawford; David A Brown; Bernhard T Baune; Katherine Samaras; Lesley Campbell; Samuel N Breit; Henry Brodaty; Perminder Sachdev; Evelyn Smith
Journal:  Aging Cell       Date:  2013-07-19       Impact factor: 9.304

5.  The preclinical Alzheimer cognitive composite: measuring amyloid-related decline.

Authors:  Michael C Donohue; Reisa A Sperling; David P Salmon; Dorene M Rentz; Rema Raman; Ronald G Thomas; Michael Weiner; Paul S Aisen
Journal:  JAMA Neurol       Date:  2014-08       Impact factor: 18.302

Review 6.  The Role of Growth Differentiation Factor 15 in Energy Metabolism.

Authors:  Joon Young Chang; Hyun Jung Hong; Seul Gi Kang; Jung Tae Kim; Ben Yuan Zhang; Minho Shong
Journal:  Diabetes Metab J       Date:  2020-06       Impact factor: 5.376

7.  Performance of Fully Automated Plasma Assays as Screening Tests for Alzheimer Disease-Related β-Amyloid Status.

Authors:  Sebastian Palmqvist; Shorena Janelidze; Erik Stomrud; Henrik Zetterberg; Johann Karl; Katharina Zink; Tobias Bittner; Niklas Mattsson; Udo Eichenlaub; Kaj Blennow; Oskar Hansson
Journal:  JAMA Neurol       Date:  2019-09-01       Impact factor: 18.302

8.  High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis.

Authors:  Suzanne E Schindler; James G Bollinger; Vitaliy Ovod; Kwasi G Mawuenyega; Yan Li; Brian A Gordon; David M Holtzman; John C Morris; Tammie L S Benzinger; Chengjie Xiong; Anne M Fagan; Randall J Bateman
Journal:  Neurology       Date:  2019-08-01       Impact factor: 11.800

9.  Growth Differentiation Factor 15 and NT-proBNP as Blood-Based Markers of Vascular Brain Injury and Dementia.

Authors:  Emer R McGrath; Jayandra J Himali; Daniel Levy; Sarah C Conner; Charles DeCarli; Matthew P Pase; Toshiharu Ninomiya; Tomoyuki Ohara; Paul Courchesne; Claudia L Satizabal; Ramachandran S Vasan; Alexa S Beiser; Sudha Seshadri
Journal:  J Am Heart Assoc       Date:  2020-09-14       Impact factor: 5.501

10.  Assessment of Plasma Amyloid-β42/40 and Cognitive Decline Among Community-Dwelling Older Adults.

Authors:  Kelly Virecoulon Giudici; Philipe de Souto Barreto; Sophie Guyonnet; Yan Li; Randall John Bateman; Bruno Vellas
Journal:  JAMA Netw Open       Date:  2020-12-01
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