Next Article in Journal
Risk Reclassification of Patients with Endometrial Cancer Based on Tumor Molecular Profiling: First Real World Data
Next Article in Special Issue
Systematic Search for Novel Circulating Biomarkers Associated with Extracellular Vesicles in Alzheimer’s Disease: Combining Literature Screening and Database Mining Approaches
Previous Article in Journal
A Genotype-Phenotype Correlation Study of Exon Skip-Equivalent In-Frame Deletions and Exon Skip-Amenable Out-of-Frame Deletions across the DMD Gene to Simulate the Effects of Exon-Skipping Therapies: A Meta-Analysis
Previous Article in Special Issue
A Conformation Variant of p53 Combined with Machine Learning Identifies Alzheimer Disease in Preclinical and Prodromal Stages
Article

Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia

1
Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence (NEUROFARBA), Azienda Ospedaliera-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy
2
IRCCS Fondazione Don Carlo Gnocchi, Via Scandicci 269, 50143 Florence, Italy
3
Faculty of Medicine and Surgery, University of Florence, Largo Brambilla 3, 50134 Florence, Italy
4
Department of Biomedical, Experimental and Clinical Sciences “Mario Serio”, University of Florence, Via Giovanni Battista Morgagni 50, 50134 Florence, Italy
5
Nuclear Medicine Unit, Azienda Ospedaliero-Universitaria Careggi, Largo Piero Palagi 1, 50139 Florence, Italy
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2021, 11(1), 47; https://doi.org/10.3390/jpm11010047
Received: 1 December 2020 / Revised: 8 January 2021 / Accepted: 9 January 2021 / Published: 14 January 2021
(This article belongs to the Special Issue Molecular Biomarkers and Precision Medicine for Alzheimer)
Background: The aims of this study were to compare the diagnostic accuracy, sensitivity, specificity, and positive and negative predictive values (PPV, NPV) of different cerebrospinal fluid (CSF) amyloid biomarkers and amyloid-Positron Emission Tomography (PET) in patients with a clinical diagnosis of Alzheimer’s disease (AD) and Frontotemporal Dementia (FTD); to compare concordance between biomarkers; and to provide an indication of their use and interpretation. Methods: We included 148 patients (95 AD and 53 FTD), who underwent clinical evaluation, neuropsychological assessment, and at least one amyloid biomarker (CSF analysis or amyloid-PET). Thirty-six patients underwent both analyses. One-hundred-thirteen patients underwent Apolipoprotein E (ApoE) genotyping. Results: Amyloid-PET presented higher diagnostic accuracy, sensitivity, and NPV than CSF Aβ1–42 but not Aβ42/40 ratio. Concordance between CSF biomarkers and amyloid-PET was higher in FTD patients compared to AD cases. None of the AD patients presented both negative Aβ biomarkers. Conclusions: CSF Aβ42/40 ratio significantly increased the diagnostic accuracy of CSF biomarkers. On the basis of our current and previous data, we suggest a flowchart to guide the use of biomarkers according to clinical suspicion: due to the high PPV of both amyloid-PET and CSF analysis including Aβ42/40, in cases of concordance between at least one biomarker and clinical diagnosis, performance of the other analysis could be avoided. A combination of both biomarkers should be performed to better characterize unclear cases. If the two amyloid biomarkers are both negative, an underlying AD pathology can most probably be excluded. View Full-Text
Keywords: Alzheimer’s disease; frontotemporal dementia; CSF biomarkers; amyloid-PET Alzheimer’s disease; frontotemporal dementia; CSF biomarkers; amyloid-PET
Show Figures

Graphical abstract

MDPI and ACS Style

Giacomucci, G.; Mazzeo, S.; Bagnoli, S.; Casini, M.; Padiglioni, S.; Polito, C.; Berti, V.; Balestrini, J.; Ferrari, C.; Lombardi, G.; Ingannato, A.; Sorbi, S.; Nacmias, B.; Bessi, V. Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia. J. Pers. Med. 2021, 11, 47. https://doi.org/10.3390/jpm11010047

AMA Style

Giacomucci G, Mazzeo S, Bagnoli S, Casini M, Padiglioni S, Polito C, Berti V, Balestrini J, Ferrari C, Lombardi G, Ingannato A, Sorbi S, Nacmias B, Bessi V. Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia. Journal of Personalized Medicine. 2021; 11(1):47. https://doi.org/10.3390/jpm11010047

Chicago/Turabian Style

Giacomucci, Giulia, Salvatore Mazzeo, Silvia Bagnoli, Matteo Casini, Sonia Padiglioni, Cristina Polito, Valentina Berti, Juri Balestrini, Camilla Ferrari, Gemma Lombardi, Assunta Ingannato, Sandro Sorbi, Benedetta Nacmias, and Valentina Bessi. 2021. "Matching Clinical Diagnosis and Amyloid Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia" Journal of Personalized Medicine 11, no. 1: 47. https://doi.org/10.3390/jpm11010047

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop