Literature DB >> 30149449

Plasma Aβ42 as a Biomarker of Prodromal Alzheimer's Disease Progression in Patients with Amnestic Mild Cognitive Impairment: Evidence from the PharmaCog/E-ADNI Study.

Diego Albani1, Moira Marizzoni2, Clarissa Ferrari3, Federica Fusco1, Lucia Boeri1, Ilaria Raimondi1, Jorge Jovicich4, Claudio Babiloni5,6, Andrea Soricelli7, Roberta Lizio5, Samantha Galluzzi2, Libera Cavaliere2, Mira Didic8,9, Peter Schönknecht10, José Luis Molinuevo11, Flavio Nobili12, Lucilla Parnetti13, Pierre Payoux14, Luisella Bocchio15, Marco Salvatore7, Paolo Maria Rossini16,17, Magda Tsolaki18, Pieter Jelle Visser19, Jill C Richardson20, Jens Wiltfang21,22,23, Régis Bordet24, Olivier Blin25, Gianluigi Forloni1, Giovanni B Frisoni2,26.   

Abstract

It is an open issue whether blood biomarkers serve to diagnose Alzheimer's disease (AD) or monitor its progression over time from prodromal stages. Here, we addressed this question starting from data of the European FP7 IMI-PharmaCog/E-ADNI longitudinal study in amnesic mild cognitive impairment (aMCI) patients including biological, clinical, neuropsychological (e.g., ADAS-Cog13), neuroimaging, and electroencephalographic measures. PharmaCog/E-ADNI patients were classified as "positive" (i.e., "prodromal AD" n = 76) or "negative" (n = 52) based on a diagnostic cut-off of Aβ42/P-tau in cerebrospinal fluid as well as APOE ε 4 genotype. Blood was sampled at baseline and at two follow-ups (12 and 18 months), when plasma amyloid peptide 42 and 40 (Aβ42, Aβ40) and apolipoprotein J (clusterin, CLU) were assessed. Linear Mixed Models found no significant differences in plasma molecules between the "positive" (i.e., prodromal AD) and "negative" groups at baseline. In contrast, plasma Aβ42 showed a greater reduction over time in the prodromal AD than the "negative" aMCI group (p = 0.048), while CLU and Aβ40 increased, but similarly in the two groups. Furthermore, plasma Aβ42 correlated with the ADAS-Cog13 score both in aMCI patients as a whole and the prodromal AD group alone. Finally, CLU correlated with the ADAS-Cog13 only in the whole aMCI group, and no association with ADAS-Cog13 was found for Aβ40. In conclusion, plasma Aβ42 showed disease progression-related features in aMCI patients with prodromal AD.

Entities:  

Keywords:  Amnesic mild cognitive impairment; PharmaCog project; amyloid-beta peptide; biomarkers; clinical trial; clusterin; prodromal Alzheimer’s disease

Year:  2019        PMID: 30149449     DOI: 10.3233/JAD-180321

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  10 in total

Review 1.  Alzheimer's Disease Biomarkers Revisited From the Amyloid Cascade Hypothesis Standpoint.

Authors:  Deborah O T Alawode; Nick C Fox; Henrik Zetterberg; Amanda J Heslegrave
Journal:  Front Neurosci       Date:  2022-04-27       Impact factor: 5.152

2.  Plasma biomarker profiles and the correlation with cognitive function across the clinical spectrum of Alzheimer's disease.

Authors:  Zhenxu Xiao; Xue Wu; Wanqing Wu; Jingwei Yi; Xiaoniu Liang; Saineng Ding; Li Zheng; Jianfeng Luo; Hongchen Gu; Qianhua Zhao; Hong Xu; Ding Ding
Journal:  Alzheimers Res Ther       Date:  2021-07-05       Impact factor: 6.982

3.  A longitudinal examination of plasma neurofilament light and total tau for the clinical detection and monitoring of Alzheimer's disease.

Authors:  Michael A Sugarman; Henrik Zetterberg; Kaj Blennow; Yorghos Tripodis; Ann C McKee; Thor D Stein; Brett Martin; Joseph N Palmisano; Eric G Steinberg; Irene Simkin; Andrew E Budson; Ronald Killiany; Maureen K O'Connor; Rhoda Au; Wendy Wei Qiao Qiu; Lee E Goldstein; Neil W Kowall; Jesse Mez; Robert A Stern; Michael L Alosco
Journal:  Neurobiol Aging       Date:  2020-05-29       Impact factor: 4.673

4.  Highly specific and ultrasensitive plasma test detects Abeta(1-42) and Abeta(1-40) in Alzheimer's disease.

Authors:  Elisabeth H Thijssen; Inge M W Verberk; Jeroen Vanbrabant; Anne Koelewijn; Hans Heijst; Philip Scheltens; Wiesje van der Flier; Hugo Vanderstichele; Erik Stoops; Charlotte E Teunissen
Journal:  Sci Rep       Date:  2021-05-06       Impact factor: 4.379

Review 5.  Utility of Animal Models to Understand Human Alzheimer's Disease, Using the Mastermind Research Approach to Avoid Unnecessary Further Sacrifices of Animals.

Authors:  Tian Qin; Samantha Prins; Geert Jan Groeneveld; Gerard Van Westen; Helga E de Vries; Yin Cheong Wong; Luc J M Bischoff; Elizabeth C M de Lange
Journal:  Int J Mol Sci       Date:  2020-04-30       Impact factor: 5.923

6.  Amyloid-β misfolding as a plasma biomarker indicates risk for future clinical Alzheimer's disease in individuals with subjective cognitive decline.

Authors:  Julia Stockmann; Inge M W Verberk; Charlotte E Teunissen; Klaus Gerwert; Nina Timmesfeld; Robin Denz; Brian Budde; Julia Lange-Leifhelm; Philip Scheltens; Wiesje M van der Flier; Andreas Nabers
Journal:  Alzheimers Res Ther       Date:  2020-12-24       Impact factor: 6.982

7.  Circulating Insulin-Like Growth Factor I is Involved in the Effect of High Fat Diet on Peripheral Amyloid β Clearance.

Authors:  Raquel Herrero-Labrador; Angel Trueba-Saiz; Laura Martinez-Rachadell; Mᵃ Estrella Fernandez de Sevilla; Jonathan A Zegarra-Valdivia; Jaime Pignatelli; Sonia Diaz-Pacheco; Ana M Fernandez; Ignacio Torres Aleman
Journal:  Int J Mol Sci       Date:  2020-12-18       Impact factor: 5.923

8.  Plasma amyloid beta levels are associated with cerebral amyloid and tau deposition.

Authors:  Shannon L Risacher; Noelia Fandos; Judith Romero; Ian Sherriff; Pedro Pesini; Andrew J Saykin; Liana G Apostolova
Journal:  Alzheimers Dement (Amst)       Date:  2019-07-26

9.  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

Review 10.  Transitioning from cerebrospinal fluid to blood tests to facilitate diagnosis and disease monitoring in Alzheimer's disease.

Authors:  D O T Alawode; A J Heslegrave; N J Ashton; T K Karikari; J Simrén; L Montoliu-Gaya; J Pannee; A O Connor; P S J Weston; J Lantero-Rodriguez; A Keshavan; A Snellman; J Gobom; R W Paterson; J M Schott; K Blennow; N C Fox; H Zetterberg
Journal:  J Intern Med       Date:  2021-06-26       Impact factor: 8.989

  10 in total

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