Meta-analysis of CSF and MRI biomarkers for detecting preclinical Alzheimer's disease

被引:78
|
作者
Schmand, B. [1 ,2 ]
Huizenga, H. M. [2 ]
van Gool, W. A. [1 ]
机构
[1] Univ Amsterdam, Acad Med Ctr, Dept Neurol, NL-1100 DD Amsterdam, Netherlands
[2] Univ Amsterdam, Dept Psychol, NL-1100 DD Amsterdam, Netherlands
关键词
Alzheimer's disease; beta-amyloid; cerebrospinal fluid; delayed recall; hippocampus; longitudinal studies; medial temporal lobe; memory; meta-analysis; meta-regression; mild cognitive impairment; MRI; phosphorylated tau; total tau; MILD COGNITIVE IMPAIRMENT; TEMPORAL-LOBE ATROPHY; PHOSPHORYLATED-TAU; PREDICT DEMENTIA; EARLY-DIAGNOSIS; NEUROPSYCHOLOGICAL MARKERS; META-REGRESSION; BRAIN ATROPHY; PROGRESSION; CONVERSION;
D O I
10.1017/S0033291709991516
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Background. Abnormal levels of biomarkers in cerebrospinal fluid (CSF) and atrophy of medial temporal lobe (MTL) structures on magnetic resonance imaging (MRI) are being used increasingly to diagnose early Alzheimer's disease (AD). We evaluated the claim that these biomarkers can detect preclinical AD before behavioural (i.e. memory) symptoms arise. Method. We included all relevant longitudinal studies of CSF and MRI biomarkers published between January 2003 and November 2008. Subjects were not demented at baseline but some declined to mild cognitive impairment (MCI) or to AD during follow-tip. Measures of tau and beta-amyloid in CSF, MTL atrophy on MRI, and performance on delayed memory tasks were extracted from the papers or obtained from the investigators. Results. Twenty-one MRI studies and 14 CSF Studies were retrieved. The effect sizes of total tau (t-tau), phosphorylated tau (p-tau) and amyloid beta 42 (a beta 42) ranged from 0.91 to 1.11. The effect size of MTL atrophy was 0.75. Memory performance had an effect size of 1.06. MTL atrophy and memory impairment tended to increase when assessed closer to the moment of diagnosis, whereas effect sizes of CSF biomarkers tended to increase when assessed longer before the diagnosis. Conclusions. Memory impairment is a more accurate predictor of early AD than atrophy of MTL on MRI, whereas CSF abnormalities and memory impairment are about equally predictive. Consequently, the CSF and MRI biomarkers are not very sensitive to preclinical AD. CSF markers remain promising, but studies with long follow-up periods in elderly subjects who are normal at baseline are needed to evaluate this promise.
引用
收藏
页码:135 / 145
页数:11
相关论文
共 50 条
  • [31] Synaptic Proteins as Fluid Biomarkers in Alzheimer's Disease: A Systematic Review and Meta-Analysis
    Roveta, Fausto
    Cermelli, Aurora
    Boschi, Silvia
    Ferrandes, Fabio
    Grassini, Alberto
    Marcinno, Andrea
    Spina, Margherita
    Rubino, Elisa
    Borsello, Tiziana
    Vercelli, Alessandro
    Rainero, Innocenzo
    JOURNAL OF ALZHEIMERS DISEASE, 2022, 90 (04) : 1381 - 1393
  • [32] Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers
    Jansen, Ris E.
    van der Lee, Sven J.
    Gomez-Fonseca, Duber
    de Rojas, Itziar
    Dalmasso, Maria Carolina
    Grenier-Boley, Benjamin
    Zettergren, Anna
    Mishra, Aniket
    Ali, Muhammad
    Andrade, Victor
    Bellenguez, Celine
    Kleineidam, Luca
    Kucukali, Fahri
    Sung, Yun Ju
    Tesi, Niccolo
    Vromen, Ellen M.
    Wightman, Douglas P.
    Alcolea, Daniel
    Alegret, Montserrat
    Alvarez, Ignacio
    Amouyel, Philippe
    Athanasiu, Lavinia
    Bahrami, Shahram
    Bailly, Henri
    Belbin, Olivia
    Bergh, Sverre
    Bertram, Lars
    Biessels, Geert Jan
    Blennow, Kaj
    Blesa, Rafael
    Boada, Merce
    Boland, Anne
    Buerger, Katharina
    Carracedo, Angel
    Cervera-Carles, Laura
    Chene, Genevieve
    Claassen, Jurgen A. H. R.
    Debette, Stephanie
    Deleuze, Jean-Francois
    de Deyn, Peter Paul
    Diehl-Schmid, Janine
    Djurovic, Srdjan
    Dols-Icardo, Oriol
    Dufouil, Carole
    Duron, Emmanuelle
    Duezel, Emrah
    Fladby, Tormod
    Fortea, Juan
    Froelich, Lutz
    Garcia-Gonzalez, Pablo
    ACTA NEUROPATHOLOGICA, 2022, 144 (05) : 821 - 842
  • [33] A Meta-Analysis of Cytokines in Alzheimer's Disease
    Swardfager, Walter
    Lanctot, Krista
    Rothenburg, Lana
    Wong, Amy
    Cappell, Jaclyn
    Herrmann, Nathan
    BIOLOGICAL PSYCHIATRY, 2010, 68 (10) : 930 - 941
  • [34] A meta-analysis on CSF neurogranin levels for the diagnosis of Alzheimer’s disease and mild cognitive impairment
    Ioannis A. Mavroudis
    Foivos Petridis
    Symela Chatzikonstantinou
    Dimitrios Kazis
    Aging Clinical and Experimental Research, 2020, 32 : 1639 - 1646
  • [35] Prevalence and risk of progression of preclinical Alzheimer’s disease stages: a systematic review and meta-analysis
    Lucilla Parnetti
    Elena Chipi
    Nicola Salvadori
    Katia D’Andrea
    Paolo Eusebi
    Alzheimer's Research & Therapy, 11
  • [36] A meta-analysis on CSF neurogranin levels for the diagnosis of Alzheimer's disease and mild cognitive impairment
    Mavroudis, Ioannis A.
    Petridis, Foivos
    Chatzikonstantinou, Symela
    Kazis, Dimitrios
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2020, 32 (09) : 1639 - 1646
  • [37] Prevalence and risk of progression of preclinical Alzheimer's disease stages: a systematic review and meta-analysis
    Parnetti, Lucilla
    Chipi, Elena
    Salvadori, Nicola
    D'Andrea, Katia
    Eusebi, Paolo
    ALZHEIMERS RESEARCH & THERAPY, 2019, 11 (1)
  • [38] Neuroprotective Mechanisms of Salidroside in Alzheimer's Disease: A Systematic Review and Meta-analysis of Preclinical Studies
    Zhang, Nan
    Nao, Jianfei
    Dong, Xiaoyu
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2023, 71 (46) : 17597 - 17614
  • [39] CSF biomarkers in Alzheimer's disease (AD): Changes with CSF drainage
    Silverberg, G
    Saul, T
    McGuire, D
    NEUROBIOLOGY OF AGING, 2002, 23 (01) : S382 - S382
  • [40] Association of CSF Biomarkers With Hippocampal-Dependent Memory in Preclinical Alzheimer Disease
    Trelle, Alexandra N.
    Carr, Valerie A.
    Wilson, Edward N.
    Swarovski, Michelle S.
    Hunt, Madison P.
    Toueg, Tyler N.
    Tran, Tammy T.
    Channappa, Divya
    Corso, Nicole K.
    Thieu, Monica K.
    Jayakumar, Manasi
    Nadiadwala, Ayesha
    Guo, Wanjia
    Tanner, Natalie J.
    Bernstein, Jeffrey D.
    Litovsky, Celia P.
    Guerin, Scott A.
    Khazenzon, Anna M.
    Harrison, Marc B.
    Rutt, Brian K.
    Deutsch, Gayle K.
    Chin, Frederick T.
    Davidzon, Guido A.
    Hall, Jacob N.
    Sha, Sharon J.
    Fredericks, Carolyn A.
    Andreasson, Katrin, I
    Kerchner, Geoffrey A.
    Wagner, Anthony D.
    Mormino, Elizabeth C.
    NEUROLOGY, 2021, 96 (10) : E1470 - E1481