OBJECTIVES: Our work was aimed to evaluate Alzheimer's disease diagnosis improvement using cerebrospinal fluid biomarkers (CSF) in neurological daily practice. MATERIALS AND METHODS: For this purpose, 150 patients clinically and neurochemically classified as having AD or cognitive impairment with or without other dementia type were included in the study. The following CSF peptides were studied, blindly to the clinical diagnosis: beta-amyloid(1-42) peptide (Aβ(1-42)), Tau (T-tau), threonine-181 hyperphosphorylated tau protein (P-tau(181)), and beta-amyloid(1-40) peptide (Aβ(1-40)). From these measurements, Innotest® Amyloid Tau Index (IATI) was calculated for each patient. RESULTS: This assessment allowed to separate 83 biochemical profiles of AD and 67 non-Alzheimer's disease (non-AD), both AD and non-AD categories match with clinical data amounting to 73% and 90%, respectively. Among mild cognitive impairment (MCI) patients, CSF biomarkers led to discriminate those who are likely to be AD. We devoted a special section to Aβ(1-40) which is not a routine parameter but can help to confirm a pathological amyloid process as Aβ(1-42)/Aβ(1-40) ratio underlining the real decline of the Aβ(1-42). CONCLUSIONS: The interest of biomarkers and their ability to solve awkward cases were carefully noticed all the more when a discrepancy between clinical and CSF biological data was involved. The final proposed algorithm allowed to identify pathogenic forms of AD according to the prevailing role of hyperphosphorylated tau or amyloid beta peptide.
OBJECTIVES: Our work was aimed to evaluate Alzheimer's disease diagnosis improvement using cerebrospinal fluid biomarkers (CSF) in neurological daily practice. MATERIALS AND METHODS: For this purpose, 150 patients clinically and neurochemically classified as having AD or cognitive impairment with or without other dementia type were included in the study. The following CSF peptides were studied, blindly to the clinical diagnosis: beta-amyloid(1-42) peptide (Aβ(1-42)), Tau (T-tau), threonine-181 hyperphosphorylated tau protein (P-tau(181)), and beta-amyloid(1-40) peptide (Aβ(1-40)). From these measurements, Innotest® Amyloid Tau Index (IATI) was calculated for each patient. RESULTS: This assessment allowed to separate 83 biochemical profiles of AD and 67 non-Alzheimer's disease (non-AD), both AD and non-AD categories match with clinical data amounting to 73% and 90%, respectively. Among mild cognitive impairment (MCI) patients, CSF biomarkers led to discriminate those who are likely to be AD. We devoted a special section to Aβ(1-40) which is not a routine parameter but can help to confirm a pathological amyloid process as Aβ(1-42)/Aβ(1-40) ratio underlining the real decline of the Aβ(1-42). CONCLUSIONS: The interest of biomarkers and their ability to solve awkward cases were carefully noticed all the more when a discrepancy between clinical and CSF biological data was involved. The final proposed algorithm allowed to identify pathogenic forms of AD according to the prevailing role of hyperphosphorylated tau or amyloid beta peptide.
Authors: Richard Rubenstein; Binggong Chang; John K Yue; Allen Chiu; Ethan A Winkler; Ava M Puccio; Ramon Diaz-Arrastia; Esther L Yuh; Pratik Mukherjee; Alex B Valadka; Wayne A Gordon; David O Okonkwo; Peter Davies; Sanjeev Agarwal; Fan Lin; George Sarkis; Hamad Yadikar; Zhihui Yang; Geoffrey T Manley; Kevin K W Wang; Shelly R Cooper; Kristen Dams-O'Connor; Allison J Borrasso; Tomoo Inoue; Andrew I R Maas; David K Menon; David M Schnyer; Mary J Vassar Journal: JAMA Neurol Date: 2017-09-01 Impact factor: 18.302
Authors: C Madeira; M V Lourenco; C Vargas-Lopes; C K Suemoto; C O Brandão; T Reis; R E P Leite; J Laks; W Jacob-Filho; C A Pasqualucci; L T Grinberg; S T Ferreira; R Panizzutti Journal: Transl Psychiatry Date: 2015-05-05 Impact factor: 6.222
Authors: S Lugert; T Kremer; R Jagasia; A Herrmann; S Aigner; C Giachino; I Mendez-David; A M Gardier; J P Carralot; H Meistermann; A Augustin; M D Saxe; J Lamerz; G Duran-Pacheco; A Ducret; V Taylor; D J David; C Czech Journal: Sci Rep Date: 2017-04-25 Impact factor: 4.379
Authors: Tandis Parvizi; Theresa König; Raphael Wurm; Sara Silvaieh; Patrick Altmann; Sigrid Klotz; Paulus Stefan Rommer; Julia Furtner; Günther Regelsberger; Johann Lehrner; Tatjana Traub-Weidinger; Ellen Gelpi; Elisabeth Stögmann Journal: Front Aging Neurosci Date: 2022-08-22 Impact factor: 5.702
Authors: Caroline Madeira; Charles Vargas-Lopes; Carlos Otávio Brandão; Taylor Reis; Jerson Laks; Rogerio Panizzutti; Sergio T Ferreira Journal: Front Psychiatry Date: 2018-11-06 Impact factor: 4.157