Background: Alzheimer's disease (AD) is a complex disease that shares clinical features with other dementias. It is important to establish a specific and reliable diagnosis. Nowadays, AD diagnosis is based on cerebrospinal fluid (CSF) biomarkers. However, the corresponding cut-offs differ amongst studies. This study aims to evaluate the CSF biomarkers in the AD differential diagnosis.
Methods: Clinical relevant biomarkers (amyloid β42 (Aβ42), t-Tau, p-Tau, amyloid β40 (Aβ40), neurofilament light chain (NfL)) were determined in CSF samples from participants classified as AD (n = 124) and non-AD (n = 148) patients from the Neurology Unit. They were included and evaluated consecutively (August 2018-October 2020). The clinical utility of these biomarkers was evaluated by AUC-ROC curves and the corresponding cut-off points were defined.
Results: The results showed satisfactory accuracy (AUC-ROC 0.91 for Aβ42, 0.890 for t-Tau and 0.933 for p-Tau); whilst Aβ40 and NfL did not show good discriminatory capacity (AUC-ROC 0.557 and 0.738, respectively). The ratios Aβ42/Aβ40 and t-Tau/Aβ42 improved the diagnosis indices of each individual biomarker, with AUC-ROC of 0.980 and 0.971, respectively. Also, elevated levels of NfL were found in the frontotemporal dementia group compared with the other participant groups.
Conclusions: The ratio Aβ42/Aβ40 showed the highest discriminating capacity between AD and non-AD patients and might be useful in clinical practice. Regarding NfL, it is not a specific biomarker for AD; however, it might be helpful for the differential diagnosis of frontotemporal dementia. Nevertheless, further analysis in an external cohort is required in order to validate these results.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/eci.13910 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.
Biomed Phys Eng Express
January 2025
Shandong University of Traditional Chinese Medicine, Qingdao Academy of Chinese Medical Sciences, Jinan, Shandong, 250355, CHINA.
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease, and it can be used as an important indicator of disease progression. However, many existing methods focus mainly on the image itself when processing brain imaging data, ignoring other non-imaging data (e.g.
View Article and Find Full Text PDFCXCL13 levels in cerebrospinal fluid in relapsing-remitting multiple sclerosis: The role of Borrelia in neuroinfections.
J Vector Borne Dis
January 2025
İzmir Tınaztepe University, Faculty of Medicine, Department of Infectious Diseases and Clinical Microbiology, İzmir, Türkiye.
Background Objectives: This study was compared the Borrelia antibodies and chemokine ligand 13 (CXCL13) levels in cerebrospinal fluid (CSF) samples from cases diagnosed with relapsing-remitting multiple sclerosis (RRMS), radiologically isolated syndrome (RIS), and pseudotumour cerebri (PTC).
Methods: A total of 43 CSF samples were collected from patients diagnosed with RRMS, RIS and PTC. We prospectively investigated Borrelia IgG and IgM antibodies in the CSF samples of the cases by enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) method, and CXCL13 levels by ELISA.
Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data.
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
Hydranencephaly in a Newborn: A Case Report and a Review of the Literature.
Cureus
December 2024
Neonatology, Souss Massa University Hospital Center, Agadir, MAR.
Hydranencephaly (HE) is a severe and isolated malformation affecting the cerebral mantle. In this condition, the cerebral hemispheres are entirely or almost entirely absent, replaced by a membranous sac filled with cerebrospinal fluid, while the midbrain is usually preserved. Although HE is a relatively rare brain disorder, the differential diagnosis must include conditions such as severe hydrocephalus, porencephalic cysts, and alobar holoprosencephaly.
View Article and Find Full Text PDFPost-intrathecal chemotherapy-related paraplegia syndrome in hematological cancer patients: A systematic review.
Neurooncol Adv
December 2024
Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Background: Intrathecal (IT) chemotherapy is essential in treating hematological malignancies, but it can lead to ascending paraplegia, a condition that currently lacks clear management guidelines.
Methods: We conducted a systematic review, analyzing 1219 studies and 116 patients, adhering to PRISMA guidelines for individual patient data. The study, registered under PROSPERO (CRD42022362121), focused on the onset, diagnostic approaches, and therapeutic interventions associated with this complication, and management strategies to tackle the ascending paraplegia.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!