51
|
Scarth M, Rissanen I, Scholten RJPM, Geerlings MI. Biomarkers of Alzheimer's Disease and Cerebrovascular Lesions and Clinical Progression in Patients with Subjective Cognitive Decline: A Systematic Review. J Alzheimers Dis 2021; 83:1089-1111. [PMID: 34397412 DOI: 10.3233/jad-210218] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Early identification of Alzheimer's disease (AD) may be extremely beneficial for delaying disease progression. Subjective cognitive decline (SCD) may be an early indicator of AD pathology. Not all individuals with SCD will eventually develop AD, making it critical to identify biomarkers during the SCD stage which indicate likely clinical progression. OBJECTIVE The present review aims to summarize available data on structural MRI and cerebrospinal fluid (CSF) biomarkers and their association with clinical progression to mild cognitive impairment (MCI) or AD in people with SCD. METHODS Database searches were conducted using Embase and PubMed until June 2020. Longitudinal studies assessing biomarkers in individuals with SCD and assessing clinical progression to MCI/AD were included. Two assessors performed data extraction and assessed the risk of bias in the included studies. Data were synthesized narratively. RESULTS An initial search identified 1,065 papers; after screening and review 14 studies were included. Sample size of the included studies ranged from 28-674, mean age was 60.0-68.6 years, and 10.2%-52%of participants converted to MCI/AD. Lower levels of CSF Aβ 42 were consistently associated with clinical progression. Combination measures identifying an AD-like profile of Aβ 42 and tau levels were strongly associated with clinical progression. Biomarkers identified with structural MRI were less conclusive, as some studies found significant associations while others did not. CONCLUSION Biomarkers may be able to predict clinical progression in those with cognitive complaints. Aβ 42, or combinations of Aβ 42 and tau may be useful biomarkers in identifying individuals with SCD who will progress to MCI/AD.
Collapse
Affiliation(s)
- Morgan Scarth
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Ina Rissanen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Rob J P M Scholten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Mirjam I Geerlings
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| |
Collapse
|
52
|
Bastiaansen AEM, van Steenhoven RW, de Bruijn MAAM, Crijnen YS, van Sonderen A, van Coevorden-Hameete MH, Nühn MM, Verbeek MM, Schreurs MWJ, Sillevis Smitt PAE, de Vries JM, Jan de Jong F, Titulaer MJ. Autoimmune Encephalitis Resembling Dementia Syndromes. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/5/e1039. [PMID: 34341093 PMCID: PMC8362342 DOI: 10.1212/nxi.0000000000001039] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/19/2021] [Indexed: 11/15/2022]
Abstract
Objective As autoimmune encephalitis (AIE) can resemble neurodegenerative dementia
syndromes, and patients do not always present as encephalitis, this study
evaluates how frequently AIE mimics dementia and provides red flags for AIE
in middle-aged and older patients. Methods In this nationwide observational cohort study, patients with
anti–leucine-rich glioma-inactivated 1 (LGI1), anti–NMDA
receptor (NMDAR), anti–gamma-aminobutyric acid B receptor
(GABABR), or anti–contactin-associated protein-like 2
(CASPR2) encephalitis were included. They had to meet 3 additional criteria:
age ≥45 years, fulfillment of dementia criteria, and no prominent
seizures early in the disease course (≤4 weeks). Results Two-hundred ninety patients had AIE, of whom 175 were 45 years or older.
Sixty-seven patients (38%) fulfilled criteria for dementia without prominent
seizures early in the disease course. Of them, 42 had anti-LGI1 (48%), 13
anti-NMDAR (52%), 8 anti-GABABR (22%), and 4 anti-CASPR2 (15%)
encephalitis. Rapidly progressive cognitive deterioration was seen in 48
patients (76%), whereas a neurodegenerative dementia syndrome was suspected
in half (n = 33). In 17 patients (27%; 16/17 anti-LGI1), subtle
seizures had been overlooked. Sixteen patients (25%) had neither
inflammatory changes on brain MRI nor CSF pleocytosis. At least 1 CSF
biomarker, often requested when dementia was suspected, was abnormal in 27
of 44 tested patients (61%), whereas 8 had positive 14-3-3 results (19%).
Most patients (84%) improved after immunotherapy. Conclusions Red flags for AIE in patients with suspected dementia are: (1) rapidly
progressive cognitive decline, (2) subtle seizures, and (3) abnormalities in
ancillary testing atypical for neurodegeneration. Physicians should be aware
that inflammatory changes are not always present in AIE, and that biomarkers
often requested when dementia was suspected (including 14-3-3) can show
abnormal results. Diagnosis is essential as most patients profit from
immunotherapy.
Collapse
Affiliation(s)
- Anna E M Bastiaansen
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Robin W van Steenhoven
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marienke A A M de Bruijn
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Yvette S Crijnen
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Agnes van Sonderen
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marleen H van Coevorden-Hameete
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marieke M Nühn
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marcel M Verbeek
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marco W J Schreurs
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Peter A E Sillevis Smitt
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Juna M de Vries
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Frank Jan de Jong
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Maarten J Titulaer
- From the Department of Neurology (A.E.M.B., R.W.v.S., Y.S.C., M.H.v.C.-H., P.A.E.S.S., J.M.d.V., M.J.T.), Erasmus MC University Medical Center, Rotterdam; Department of Neurology, VU University Medical Center, Amsterdam (R.W.v.S.); Department of Neurology (M.A.A.M.d.B.), Elisabeth Tweesteden Medical Center, Tilburg; Department of Neurology (A.v.S.), Haaglanden Medical Center, The Hague; Honours Student Bachelor Biomedical Sciences (M.M.N.), University Utrecht; Department of Neurology and Laboratory Medicine (M.M.V.), Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen; Department of Immunology (M.W.J.S.), Erasmus MC University Medical Center, Rotterdam; and Alzheimer Center Erasmus MC (F.J.d.J.), Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
| |
Collapse
|
53
|
Lagarde J, Olivieri P, Bottlaender M, Sarazin M. Diagnosi clinicolaboratoristica della malattia di Alzheimer. Neurologia 2021. [DOI: 10.1016/s1634-7072(21)45320-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
|
54
|
Rossi M, Baiardi S, Teunissen CE, Quadalti C, van de Beek M, Mammana A, Maserati MS, Van der Flier WM, Sambati L, Zenesini C, Caughey B, Capellari S, Lemstra A, Parchi P. Diagnostic Value of the CSF α-Synuclein Real-Time Quaking-Induced Conversion Assay at the Prodromal MCI Stage of Dementia With Lewy Bodies. Neurology 2021; 97:e930-e940. [PMID: 34210822 DOI: 10.1212/wnl.0000000000012438] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 06/03/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To investigate whether the cerebrospinal fluid (CSF) α-synuclein (α-syn) real-time quaking-induced conversion (RT-QuIC) assay accurately identifies patients with mild cognitive impairment due to probable Lewy body disease (MCI-LB). METHODS We applied α-syn RT-QuIC to 289 CSF samples obtained from two independent cohorts, including 81 patients with probable MCI-LB (70.7±6.6 y, 13.6% F, MMSE 26.1±2.4), 120 with probable MCI-AD (68.6±7.4 y, 45.8% F, MMSE 25.5±2.8), and 30 with unspecified MCI (65.4±9.3 y, 30.0% F, MMSE 27.0±3.0). Fifty-eight individuals with no cognitive decline or evidence of neurodegenerative disease and 121 individuals lacking brain α-syn deposits at the neuropathological examination were used as controls. RESULTS RT-QuIC identified MCI-LB patients against cognitively unimpaired controls with 95% sensitivity, 97% specificity, and 96% accuracy, and showed 98% specificity in neuropathological controls. The accuracy of the test for MCI-LB was consistent between the two cohorts (97.3% vs. 93.7%). Thirteen percent of MCI-AD patients also had a positive test; of note, 44% of them developed one core or supportive clinical feature of dementia with Lewy bodies (DLB) at follow-up, suggesting an underlying LB co-pathology. CONCLUSIONS These findings indicate that CSF α-syn RT-QuIC is a robust biomarker for prodromal DLB. Further studies are needed to fully explore the added value of the assay to the current research criteria for MCI-LB. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that CSF α-syn RT-QuIC accurately identifies patients with MCI due to LB disease.
Collapse
Affiliation(s)
- Marcello Rossi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Simone Baiardi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Charlotte E Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Corinne Quadalti
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Angela Mammana
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | | | - Wiesje M Van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Luisa Sambati
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Corrado Zenesini
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Byron Caughey
- LPVD, Rocky Mountain Laboratories, NIAID, NIH, Hamilton, MT, USA
| | - Sabina Capellari
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Afina Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Piero Parchi
- IRCCS, Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy .,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| |
Collapse
|
55
|
de Oliveira FF, Miraldo MC, de Castro-Neto EF, de Almeida SS, Matas SLDA, Bertolucci PHF, Naffah-Mazzacoratti MDG. Associations of Neuropsychiatric Features with Cerebrospinal Fluid Biomarkers of Amyloidogenesis and Neurodegeneration in Dementia with Lewy Bodies Compared with Alzheimer's Disease and Cognitively Healthy People. J Alzheimers Dis 2021; 81:1295-1309. [PMID: 33935098 DOI: 10.3233/jad-210272] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Behavioral features may reflect proteinopathies predicting pathophysiology in neurodegenerative diseases. OBJECTIVE We aimed to investigate associations of cerebrospinal fluid biomarkers of amyloidogenesis and neurodegeneration with neuropsychiatric features in dementia with Lewy bodies (DLB) compared with late-onset Alzheimer's disease (AD) and cognitively healthy people. METHODS Consecutive outpatients with DLB were paired with outpatients with AD according to sex, dementia stage, and cognitive scores, and with cognitively healthy controls according to sex and age to investigate associations of cerebrospinal fluid amyloid-β (Aβ)42, Aβ40, Aβ38, total tau, phospho-tau Thr181, α-synuclein, ubiquitin, and neurofilament light with neuropsychiatric features according to APOEɛ4 carrier status. RESULTS Overall, 27 patients with DLB (78.48±9.0 years old, eleven APOEɛ4 carriers) were paired with 27 patients with AD (81.00±5.8 years old, twelve APOEɛ4 carriers) and 27 controls (78.48±8.7 years old, four APOEɛ4 carriers); two thirds were women. Behavioral burden was more intense in DLB. Biomarker ratios reflecting amyloidogenesis and neurodegeneration in DLB were more similar to those in AD when patients carried APOEɛ4 alleles. After corrections for false discovery rates, the following associations remained significant: in DLB, dysphoria was associated with tauopathy and indirect measures of amyloidogenesis, while in AD, agitation, and night-time behavior disturbances were associated with tauopathy, and delusions were associated with tauopathy and indirect measures of amyloidogenesis. CONCLUSION Biomarker ratios were superior to Aβ and tau biomarkers predicting neuropsychiatric symptoms when associations with isolated biomarkers were not significant. At the end, APOEɛ4 carrier status influenced amyloidogenesis and tau pathology in DLB and in AD, and axonal degeneration only in DLB.
Collapse
Affiliation(s)
- Fabricio Ferreira de Oliveira
- Department of Neurology and Neurosurgery Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Marjorie Câmara Miraldo
- Department of Neurology and Neurosurgery Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Eduardo Ferreira de Castro-Neto
- Department of Neurology and Neurosurgery Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Sandro Soares de Almeida
- Department of Biophysics, Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Sandro Luiz de Andrade Matas
- Department of Neurology and Neurosurgery Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, SP, Brazil
| | | | | |
Collapse
|
56
|
Donadio V, Wang Z, Incensi A, Rizzo G, Fileccia E, Vacchiano V, Capellari S, Magnani M, Scaglione C, Stanzani Maserati M, Avoni P, Liguori R, Zou W. In Vivo Diagnosis of Synucleinopathies: A Comparative Study of Skin Biopsy and RT-QuIC. Neurology 2021; 96:e2513-e2524. [PMID: 33837116 PMCID: PMC8205473 DOI: 10.1212/wnl.0000000000011935] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE To determine whether (1) immunofluorescence is a reproducible technique in detecting misfolded α-synuclein in skin nerves and subsequently whether (2) immunofluorescence and real-time quaking-induced conversion (RT-QuIC) (both in skin and CSF) show a comparable in vivo diagnostic accuracy in distinguishing synucleinopathies from non-synucleinopathies in a large cohort of patients. METHODS We prospectively recruited 90 patients fulfilling clinical and instrumental diagnostic criteria for all synucleinopathies variants and non-synucleinopathies (mainly including Alzheimer disease, tauopathies, and vascular parkinsonism or dementia). Twenty-four patients with mainly peripheral neuropathies were used as controls. Patients underwent skin biopsy for immunofluorescence and RT-QuIC; CSF was examined in patients who underwent lumbar puncture for diagnostic purposes. Immunofluorescence and RT-QuIC analysis were made blinded to the clinical diagnosis. RESULTS Immunofluorescence showed reproducible results between 2 pairs of neighboring skin samples. Both immunofluorescence and RT-QuIC showed high sensitivity and specificity in discriminating synucleinopathies from non-synucleinopathies and controls but immunofluorescence presented higher diagnostic accuracy. Immunofluorescence presented a good level of agreement with RT-QuIC in both skin and CSF in synucleinopathies. CONCLUSIONS Both immunofluorescence and RT-QuIC showed high diagnostic accuracy, although immunofluorescence displayed the better value as well as optimal reproducibility; they presented a good level of agreement in synucleinopathies, supporting the use of less invasive tests such as skin immunofluorescence or RT-QuIC instead of CSF RT-QuIC as a diagnostic tool for synucleinopathies. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that immunofluorescence or RT-QuIC accurately distinguish synucleinopathies from non-synucleinopathies.
Collapse
Affiliation(s)
- Vincenzo Donadio
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH.
| | - Zerui Wang
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Alex Incensi
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Giovanni Rizzo
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Enrico Fileccia
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Veria Vacchiano
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Sabina Capellari
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Martina Magnani
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Cesa Scaglione
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Michelangelo Stanzani Maserati
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Patrizia Avoni
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Rocco Liguori
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| | - Wenquan Zou
- From the IRCCS Istituto delle Scienze Neurologiche di Bologna (V.D., A.I., G.R., E.F., V.V., S.C., M.M., C.S., M.S.M., P.A., R.L.), Italy; and Departments of Pathology and Neurology (Z.W., W.Z.), Case Western Reserve University School of Medicine, Cleveland, OH
| |
Collapse
|
57
|
Jung NY, Kim ES, Kim HS, Jeon S, Lee MJ, Pak K, Lee JH, Lee YM, Lee K, Shin JH, Ko JK, Lee JM, Yoon JA, Hwang C, Choi KU, Lee EC, Seong JK, Huh GY, Kim DS, Kim EJ. Comparison of Diagnostic Performances Between Cerebrospinal Fluid Biomarkers and Amyloid PET in a Clinical Setting. J Alzheimers Dis 2021; 74:473-490. [PMID: 32039853 DOI: 10.3233/jad-191109] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The diagnostic performances of cerebrospinal fluid (CSF) biomarkers and amyloid positron emission tomography (PET) were compared by examining the association and concordance or discordance between CSF Aβ1-42 and amyloid PET, after determining our own cut-off values for CSF Alzheimer's disease (AD) biomarkers. Furthermore, we evaluated the ability of CSF biomarkers and amyloid PET to predict clinical progression. CSF Aβ1-42, t-tau, and p-tau levels were analyzed in 203 individuals [27 normal controls, 38 mild cognitive impairment (MCI), 62 AD dementia, and 76 patients with other neurodegenerative diseases] consecutively recruited from two dementia clinics. We used both visual and standardized uptake value ratio (SUVR)-based amyloid PET assessments for analyses. The association of CSF biomarkers with amyloid PET SUVR, hippocampal atrophy, and cognitive function were investigated by linear regression analysis, and the risk of conversion from MCI to AD dementia was assessed using a Cox proportional hazards model. CSF p-tau/Aβ1-42 and t-tau/Aβ1-42 exhibited the best diagnostic accuracies among the CSF AD biomarkers examined. Correlations were observed between CSF biomarkers and global SUVR, hippocampal volume, and cognitive function. Overall concordance and discordance between CSF Aβ1-42 and amyloid PET was 77% and 23%, respectively. Baseline positive CSF Aβ1-42 for MCI demonstrated a 5.6-fold greater conversion risk than negative CSF Aβ1-42 . However, amyloid PET findings failed to exhibit significant prognostic value. Therefore, despite presence of a significant correlation between the CSF Aβ1-42 level and SUVR of amyloid PET, and a relevant concordance between CSF Aβ1-42 and amyloid PET, baseline CSF Aβ1-42 better predicted AD conversion.
Collapse
Affiliation(s)
- Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun Soo Kim
- Department of Anesthesia and Pain Medicine, Pusan National University Hospital, School of Medicine, Pusan National University, Busan, Republic of Korea
| | - Hyang-Sook Kim
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Sumin Jeon
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Myung Jun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Kyoungjune Pak
- Department of Nuclear Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jae-Hyeok Lee
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Young Min Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Kangyoon Lee
- Department of Psychiatry, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Jin-Hong Shin
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Jun Kyeung Ko
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jae Meen Lee
- Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Jin A Yoon
- Department of Rehabilitation Medicine, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Chungsu Hwang
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Kyung-Un Choi
- Department of Pathology, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Eun Chong Lee
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea
| | - Gi Yeong Huh
- Department of Forensic Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea
| | - Dae-Seong Kim
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.,Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| |
Collapse
|
58
|
Teitsdottir UD, Halldorsson S, Rolfsson O, Lund SH, Jonsdottir MK, Snaedal J, Petersen PH. Cerebrospinal Fluid C18 Ceramide Associates with Markers of Alzheimer's Disease and Inflammation at the Pre- and Early Stages of Dementia. J Alzheimers Dis 2021; 81:231-244. [PMID: 33814423 PMCID: PMC8203241 DOI: 10.3233/jad-200964] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Understanding how dysregulation in lipid metabolism relates to the severity of Alzheimer‘s disease (AD) pathology might be critical in developing effective treatments. Objective: To identify lipid species in cerebrospinal fluid (CSF) associated with signature AD pathology and to explore their relationships with measures reflecting AD-related processes (neurodegeneration, inflammation, deficits in verbal episodic memory) among subjects at the pre- and early symptomatic stages of dementia. Methods: A total of 60 subjects that had been referred to an Icelandic memory clinic cohort were classified as having CSF AD (n = 34) or non-AD (n = 26) pathology profiles. Untargeted CSF lipidomic analysis was performed using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) for the detection of mass-to-charge ratio (m/z) features. CSF proteins reflecting neurodegeneration (neurofilament light [NFL]) and inflammation (chitinase-3-like protein 1 [YKL-40], S100 calcium-binding protein B [S100B], glial fibrillary acidic protein [GFAP]) were also measured. Rey Auditory Verbal Learning (RAVLT) and Story tests were used for the assessment of verbal episodic memory. Results: Eight out of 1008 features were identified as best distinguishing between the CSF profile groups. Of those, only the annotation of the m/z feature assigned to lipid species C18 ceramide was confirmed with a high confidence. Multiple regression analyses, adjusted for age, gender, and education, demonstrated significant associations of CSF core AD markers (Aβ42: st.β= –0.36, p = 0.007; T-tau: st.β= 0.41, p = 0.005) and inflammatory marker S100B (st.β= 0.51, p = 0.001) with C18 ceramide levels. Conclusion: Higher levels of C18 ceramide associated with increased AD pathology and inflammation, suggesting its potential value as a therapeutic target.
Collapse
Affiliation(s)
- Unnur D Teitsdottir
- Faculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland
| | | | - Ottar Rolfsson
- Center for Systems Biology, University of Iceland, Reykjavik, Iceland
| | | | - Maria K Jonsdottir
- Department of Psychology, Reykjavik University, Reykjavik, Iceland.,Department of Psychiatry, Landspitali -National University Hospital, Reykjavik, Iceland
| | - Jon Snaedal
- Memory Clinic, Department of Geriatric Medicine, Landspitali - National University Hospital, Reykjavik, Iceland
| | - Petur H Petersen
- Faculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland
| |
Collapse
|
59
|
Willemse EAJ, Tijms BM, van Berckel BNM, Le Bastard N, van der Flier WM, Scheltens P, Teunissen CE. Comparing CSF amyloid-beta biomarker ratios for two automated immunoassays, Elecsys and Lumipulse, with amyloid PET status. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12182. [PMID: 33969174 PMCID: PMC8088096 DOI: 10.1002/dad2.12182] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/07/2021] [Accepted: 03/15/2021] [Indexed: 12/13/2022]
Abstract
INTRODUCTION We evaluated for two novel automated biomarker assays how cerebrospinal fluid (CSF) amyloid beta (Aβ)1- 42-ratios improved the concordance with amyloid positron emission tomography (PET) positivity compared to Aβ1- 42 alone. METHODS We selected 288 individuals from the Amsterdam Dementia Cohort across the Alzheimer's disease clinical spectrum when they had both CSF and amyloid PET visual read available, regardless of diagnosis. CSF Aβ1- 42, phosphorylated tau (p-tau), and total tau (t-tau) were measured with Elecsys and Lumipulse assays, and Aβ1-40 with Lumipulse. CSF cut-points were defined using receiver operating characteristic (ROC) for amyloid PET positivity. RESULTS For both Elecsys and Lumipulse the p-tau/Aβ1- 42, Aβ1- 42/Aβ1- 40, and t-tau/Aβ1- 42 ratios showed similarly good concordance with amyloid PET (Elecsys: 93,90,90%; Lumipulse: 94,92,90%) and were higher than Aβ1- 42 alone (Elecsys 85%; Lumipulse 84%). DISCUSSION Biomarker ratios p-tau/Aβ1- 42, Aβ1- 42/Aβ1- 40, t-tau/Aβ1- 42 on two automated platforms show similar optimal concordance with amyloid PET in a memory clinic cohort.
Collapse
Affiliation(s)
- Eline A. J. Willemse
- Department of Clinical ChemistryNeurochemistry LaboratoryAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Betty M. Tijms
- Department of NeurologyAlzheimer CenterAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Bart N. M. van Berckel
- Department of Radiology & Nuclear MedicineAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | | | - Wiesje M. van der Flier
- Department of NeurologyAlzheimer CenterAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of Epidemiology and BiostatisticsAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Philip Scheltens
- Department of NeurologyAlzheimer CenterAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Charlotte E. Teunissen
- Department of Clinical ChemistryNeurochemistry LaboratoryAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| |
Collapse
|
60
|
Vergouw LJM, Bosman B, van de Beek M, Salomé M, Hoogers SE, van Steenoven I, Roks G, Bonifati V, van Swieten JC, Lemstra AW, de Jong FJ. Family History is Associated with Phenotype in Dementia with Lewy Bodies. J Alzheimers Dis 2021; 73:269-275. [PMID: 31771063 PMCID: PMC7029358 DOI: 10.3233/jad-190825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
It is currently unknown whether patients with dementia with Lewy bodies (DLB) with relatives with dementia or Parkinson’s disease (familial DLB patients) have a different phenotype than sporadic DLB patients. In this study, we aimed to examine disease onset, rate of cognitive decline, survival, and Alzheimer’s disease (AD) biomarkers in patients with familial DLB (n = 154) and sporadic DLB (n = 137), using linear mixed model analysis and Cox regression analysis, among others. Familial patients had a shorter survival (8.0 years) and more often elevated cerebrospinal fluid AD biomarkers (47%) than sporadic patients (9.0 years; p≤0.001; 30%, p = 0.037). Our findings suggest that genetic factors are important in DLB and that the identification of new genetic factors will probably improve the prediction of prognosis.
Collapse
Affiliation(s)
- Leonie J M Vergouw
- Alzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Brechje Bosman
- Alzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mariet Salomé
- Department of Neurology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands.,Department of Neurology, St Jansdal Ziekenhuis, Harderwijk, The Netherlands
| | - Susanne E Hoogers
- Alzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Inger van Steenoven
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gerwin Roks
- Department of Neurology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands
| | - Vincenzo Bonifati
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - John C van Swieten
- Alzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frank Jan de Jong
- Alzheimer Center Erasmus MC, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| |
Collapse
|
61
|
Use of Alzheimer's Disease Cerebrospinal Fluid Biomarkers in A Tertiary Care Memory Clinic. Can J Neurol Sci 2021; 49:203-209. [PMID: 33845924 DOI: 10.1017/cjn.2021.67] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers are promising tools to help identify the underlying pathology of neurocognitive disorders. In this manuscript, we report our experience with AD CSF biomarkers in 262 consecutive patients in a tertiary care memory clinic. METHODS We retrospectively reviewed 262 consecutive patients who underwent lumbar puncture (LP) and CSF measurement of AD biomarkers (Aβ1-42, total tau or t-tau, and p-tau181). We studied the safety of the procedure and its impact on patient's diagnosis and management. RESULTS The LP allowed to identify underlying AD pathology in 72 of the 121 patients (59%) with early onset amnestic mild cognitive impairment (aMCI) with a high probability of progression to AD; to distinguish the behavioral/dysexecutive variant of AD from the behavioral variant of frontotemporal dementia (bvFTD) in 25 of the 45 patients (55%) with an atypical neurobehavioral profile; to identify AD as the underlying pathology in 15 of the 27 patients (55%) with atypical or unclassifiable primary progressive aphasia (PPA); and to distinguish AD from other disorders in 9 of the 29 patients (31%) with psychiatric differential diagnoses and 19 of the 40 patients (47%) with lesional differential diagnoses (normal pressure hydrocephalus, encephalitis, prion disease, etc.). No major complications occurred following the LP. INTERPRETATION Our results suggest that CSF analysis is a safe and effective diagnostic tool in select patients with neurocognitive disorders. We advocate for a wider use of this biomarker in tertiary care memory clinics in Canada.
Collapse
|
62
|
Clark C, Lewczuk P, Kornhuber J, Richiardi J, Maréchal B, Karikari TK, Blennow K, Zetterberg H, Popp J. Plasma neurofilament light and phosphorylated tau 181 as biomarkers of Alzheimer's disease pathology and clinical disease progression. ALZHEIMERS RESEARCH & THERAPY 2021; 13:65. [PMID: 33766131 PMCID: PMC7995778 DOI: 10.1186/s13195-021-00805-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 03/09/2021] [Indexed: 01/01/2023]
Abstract
Background To assess the performance of plasma neurofilament light (NfL) and phosphorylated tau 181 (p-tau181) to inform about cerebral Alzheimer’s disease (AD) pathology and predict clinical progression in a memory clinic setting. Methods Plasma NfL and p-tau181, along with established cerebrospinal fluid (CSF) biomarkers of AD pathology, were measured in participants with normal cognition (CN) and memory clinic patients with cognitive impairment (mild cognitive impairment and dementia, CI). Clinical and neuropsychological assessments were performed at inclusion and follow-up visits at 18 and 36 months. Multivariate analysis assessed associations of plasma NfL and p-tau181 levels with AD, single CSF biomarkers, hippocampal volume, and clinical measures of disease progression. Results Plasma NfL levels were higher in CN participants with an AD CSF profile (defined by a CSF p-tau181/Aβ1–42 > 0.0779) as compared with CN non-AD, while p-tau181 plasma levels were higher in CI patients with AD. Plasma NfL levels correlated with CSF tau and p-tau181 in CN, and with CSF tau in CI patients. Plasma p-tau181 correlated with CSF p-tau181 in CN and with CSF tau, p-tau181, Aβ1–42, and Aβ1–42/Aβ1–40 in CI participants. Compared with a reference model, adding plasma p-tau181 improved the prediction of AD in CI patients while adding NfL did not. Adding p-tau181, but not NfL levels, to a reference model improved prediction of cognitive decline in CI participants. Conclusion Plasma NfL indicates neurodegeneration while plasma p-tau181 levels can serve as a biomarker of cerebral AD pathology and cognitive decline. Their predictive performance depends on the presence of cognitive impairment.
Collapse
Affiliation(s)
- Christopher Clark
- Institute for Regenerative Medicine, University of Zürich, Zürich, Switzerland.
| | - Piotr Lewczuk
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich - Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.,Department of Neurodegeneration Diagnostics, Medical University of Białystok, Białystok, Poland
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Erlangen, and Friedrich - Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Jonas Richiardi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Bénédicte Maréchal
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,Advanced Clinical Imaging Technology group, Siemens Healthcare AG, Lausanne, Switzerland.,LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Julius Popp
- Old age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland.,Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich and University of Zürich, Zürich, Switzerland
| |
Collapse
|
63
|
Perra D, Bongianni M, Novi G, Janes F, Bessi V, Capaldi S, Sacchetto L, Tagliapietra M, Schenone G, Morbelli S, Fiorini M, Cattaruzza T, Mazzon G, Orrù CD, Catalan M, Polverino P, Bernardini A, Pellitteri G, Valente M, Bertolotti C, Nacmias B, Maggiore G, Cavallaro T, Manganotti P, Gigli G, Monaco S, Nobili F, Zanusso G. Alpha-synuclein seeds in olfactory mucosa and cerebrospinal fluid of patients with dementia with Lewy bodies. Brain Commun 2021; 3:fcab045. [PMID: 33870192 PMCID: PMC8042247 DOI: 10.1093/braincomms/fcab045] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/08/2021] [Accepted: 02/10/2021] [Indexed: 01/09/2023] Open
Abstract
In patients with suspected dementia with Lewy bodies, the detection of the disease-associated α-synuclein in easily accessible tissues amenable to be collected using minimally invasive procedures remains a major diagnostic challenge. This approach has the potential to take advantage of modern molecular assays for the diagnosis of α-synucleinopathy and, in turn, to optimize the recruitment and selection of patients in clinical trials, using drugs directed at counteracting α-synuclein aggregation. In this study, we explored the diagnostic accuracy of α-synuclein real-time quaking-induced conversion assay by testing olfactory mucosa and CSF in patients with a clinical diagnosis of probable (n = 32) or prodromal (n = 5) dementia with Lewy bodies or mixed degenerative dementia (dementia with Lewy bodies/Alzheimer's disease) (n = 6). Thirty-eight patients with non-α-synuclein-related neurodegenerative and non-neurodegenerative disorders, including Alzheimer's disease (n = 10), sporadic Creutzfeldt-Jakob disease (n = 10), progressive supranuclear palsy (n = 8), corticobasal syndrome (n = 1), fronto-temporal dementia (n = 3) and other neurological conditions (n = 6) were also included, as controls. All 81 patients underwent olfactory swabbing while CSF was obtained in 48 participants. At the initial blinded screening of olfactory mucosa samples, 38 out of 81 resulted positive while CSF was positive in 19 samples out of 48 analysed. After unblinding of the results, 27 positive olfactory mucosa were assigned to patients with probable dementia with Lewy bodies, five with prodromal dementia with Lewy bodies and three to patients with mixed dementia, as opposed to three out 38 controls. Corresponding results of CSF testing disclosed 10 out 10 positive samples in patients with probable dementia with Lewy bodies and six out of six with mixed dementia, in addition to three out of 32 for controls. The accuracy among results of real-time quaking-induced conversion assays and clinical diagnoses was 86.4% in the case of olfactory mucosa and 93.8% for CSF. For the first time, we showed that α-synuclein real-time quaking-induced conversion assay detects α-synuclein aggregates in olfactory mucosa of patients with dementia with Lewy bodies and with mixed dementia. Additionally, we provided preliminary evidence that the combined testing of olfactory mucosa and CSF raised the concordance with clinical diagnosis potentially to 100%. Our results suggest that nasal swabbing might be considered as a first-line screening procedure in patients with a diagnosis of suspected dementia with Lewy bodies followed by CSF analysis, as a confirmatory test, when the result in the olfactory mucosa is incongruent with the initial clinical diagnosis.
Collapse
Affiliation(s)
- Daniela Perra
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Matilde Bongianni
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Giovanni Novi
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Francesco Janes
- Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, 50134 University of Florence, Azienda Ospedaliera-Universitaria Careggi, Florence, Italy
| | - Stefano Capaldi
- Biocrystallography Laboratory, Department of Biotechnology, University of Verona, 37134 Verona, Italy
| | - Luca Sacchetto
- Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, University of Verona, 37134 Verona, Italy
| | - Matteo Tagliapietra
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Guido Schenone
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
- Department of Health Science (DISSAL), University of Genova, 16132 Genova, Italy
| | - Michele Fiorini
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Tatiana Cattaruzza
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Giulia Mazzon
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Christina D Orrù
- Laboratory of Persistent Viral Diseases, Rocky Mountain Laboratories, National Institute for Allergy and Infectious Diseases, National Institutes of Health, Hamilton, 59840 Montana, USA
| | - Mauro Catalan
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Paola Polverino
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Andrea Bernardini
- Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy
| | - Gaia Pellitteri
- Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy
| | - Mariarosa Valente
- Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy
| | - Claudio Bertolotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Azienda Ospedaliera- Universitaria Careggi, 50134 Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy
| | - Giandomenico Maggiore
- Department of Otorhinolaryngology, Careggi University Hospital, 50134 Florence, Italy
| | - Tiziana Cavallaro
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Paolo Manganotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, Cattinara University Hospital ASUGI, University of Trieste, 34128 Trieste, Italy
| | - Gianluigi Gigli
- Clinical Neurology Unit, Santa Maria della Misericordia University Hospital, 33100 Udine, Italy
| | - Salvatore Monaco
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| | - Flavio Nobili
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child health (DINOGMI), University of Genova, 16132 Genova, Italy
| | - Gianluigi Zanusso
- Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Policlinico G. B. Rossi, 37134 Verona, Italy
| |
Collapse
|
64
|
2020 update on the clinical validity of cerebrospinal fluid amyloid, tau, and phospho-tau as biomarkers for Alzheimer's disease in the context of a structured 5-phase development framework. Eur J Nucl Med Mol Imaging 2021; 48:2121-2139. [PMID: 33674895 PMCID: PMC8175301 DOI: 10.1007/s00259-021-05258-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/11/2021] [Indexed: 12/15/2022]
Abstract
Purpose In the last decade, the research community has focused on defining reliable biomarkers for the early detection of Alzheimer’s disease (AD) pathology. In 2017, the Geneva AD Biomarker Roadmap Initiative adapted a framework for the systematic validation of oncological biomarkers to cerebrospinal fluid (CSF) AD biomarkers—encompassing the 42 amino-acid isoform of amyloid-β (Aβ42), phosphorylated-tau (P-tau), and Total-tau (T-tau)—with the aim to accelerate their development and clinical implementation. The aim of this work is to update the current validation status of CSF AD biomarkers based on the Biomarker Roadmap methodology. Methods A panel of experts in AD biomarkers convened in November 2019 at a 2-day workshop in Geneva. The level of maturity (fully achieved, partly achieved, preliminary evidence, not achieved, unsuccessful) of CSF AD biomarkers was assessed based on the Biomarker Roadmap methodology before the meeting and presented and discussed during the workshop. Results By comparison to the previous 2017 Geneva Roadmap meeting, the primary advances in CSF AD biomarkers have been in the area of a unified protocol for CSF sampling, handling and storage, the introduction of certified reference methods and materials for Aβ42, and the introduction of fully automated assays. Additional advances have occurred in the form of defining thresholds for biomarker positivity and assessing the impact of covariates on their discriminatory ability. Conclusions Though much has been achieved for phases one through three, much work remains in phases four (real world performance) and five (assessment of impact/cost). To a large degree, this will depend on the availability of disease-modifying treatments for AD, given these will make accurate and generally available diagnostic tools key to initiate therapy. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05258-7.
Collapse
|
65
|
Brisson M, Brodeur C, Létourneau‐Guillon L, Masellis M, Stoessl J, Tamm A, Zukotynski K, Ismail Z, Gauthier S, Rosa‐Neto P, Soucy J. CCCDTD5: Clinical role of neuroimaging and liquid biomarkers in patients with cognitive impairment. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2021; 6:e12098. [PMID: 33532543 PMCID: PMC7821956 DOI: 10.1002/trc2.12098] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 09/11/2020] [Indexed: 04/21/2023]
Abstract
Since 1989, four Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTDs) have provided evidence-based dementia diagnostic and treatment guidelines for Canadian clinicians and researchers. We present the results from the Neuroimaging and Fluid Biomarkers Group of the 5th CCCDTD (CCCDTD5), which addressed topics chosen by the steering committee to reflect advances in the field and build on our previous guidelines. Recommendations on Imaging and Fluid Biomarker Use from this Conference cover a series of different fields. Prior structural imaging recommendations for both computerized tomography (CT) and magnetic resonance imaging (MRI) remain largely unchanged, but MRI is now more central to the evaluation than before, with suggested sequences described here. The use of visual rating scales for both atrophy and white matter anomalies is now included in our recommendations. Molecular imaging with [18F]-fluorodeoxyglucose ([18F]-FDG) Positron Emisson Tomography (PET) or [99mTc]-hexamethylpropyleneamine oxime/ethylene cysteinate dimer ([99mTc]-HMPAO/ECD) Single Photon Emission Tomography (SPECT), should now decidedly favor PET. The value of [18F]-FDG PET in the assessment of neurodegenerative conditions has been established with greater certainty since the previous conference, and it has now been recognized as a useful biomarker to establish the presence of neurodegeneration by a number of professional organizations around the world. Furthermore, the role of amyloid PET has been clarified and our recommendations follow those from other groups in multiple countries. SPECT with [123I]-ioflupane (DaTscanTM) is now included as a useful study in differentiating Alzheimer's disease (AD) from Lewy body disease. Finally, liquid biomarkers are in a rapid phase of development and, could lead to a revolution in the assessment AD and other neurodegenerative conditions at a reasonable cost. We hope these guidelines will be useful for clinicians, researchers, policy makers, and the lay public, to inform a current and evidence-based approach to the use of neuroimaging and liquid biomarkers in clinical dementia evaluation and management.
Collapse
Affiliation(s)
- Mélanie Brisson
- Centre hospitalier de l'université de QuébecQuebec CityCanada
| | | | | | | | - Jon Stoessl
- Vancouver Coastal Health, University of British‐ColumbiaVancouverCanada
| | | | | | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryCanada
| | | | - Pedro Rosa‐Neto
- McGill Center for Studies in AgingCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
| | - Jean‐Paul Soucy
- Centre hospitalier de l'université de MontréalMontrealCanada
- McConnell Brain Imaging Centre, Montreal Neurological InstituteMontrealCanada
- PERFORM Center, Concordia UniversityMontrealCanada
| |
Collapse
|
66
|
van Maurik IS, Rhodius-Meester HFM, Teunissen CE, Scheltens P, Barkhof F, Palmqvist S, Hansson O, van der Flier WM, Berkhof J. Biomarker testing in MCI patients-deciding who to test. ALZHEIMERS RESEARCH & THERAPY 2021; 13:14. [PMID: 33413634 PMCID: PMC7792312 DOI: 10.1186/s13195-020-00763-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/23/2020] [Indexed: 11/10/2022]
Abstract
BACKGROUND We aimed to derive an algorithm to define the optimal proportion of patients with mild cognitive impairment (MCI) in whom cerebrospinal fluid (CSF) testing is of added prognostic value. METHODS MCI patients were selected from the Amsterdam Dementia Cohort (n = 402). Three-year progression probabilities to dementia were predicted using previously published models with and without CSF data (amyloid-beta1-42 (Abeta), phosphorylated tau (p-tau)). We incrementally augmented the proportion of patients undergoing CSF, starting with the 10% patients with prognostic probabilities based on clinical data around the median (percentile 45-55), until all patients received CSF. The optimal proportion was defined as the proportion where the stepwise algorithm showed similar prognostic discrimination (Harrell's C) and accuracy (three-year Brier scores) compared to CSF testing of all patients. We used the BioFINDER study (n = 221) for validation. RESULTS The optimal proportion of MCI patients to receive CSF testing selected by the stepwise approach was 50%. CSF testing in only this proportion improved the performance of the model with clinical data only from Harrell's C = 0.60, Brier = 0.198 (Harrell's C = 0.61, Brier = 0.197 if the information on magnetic resonance imaging was available) to Harrell's C = 0.67 and Brier = 0.190, and performed similarly to a model in which all patients received CSF testing. Applying the stepwise approach in the BioFINDER study would again select half of the MCI patients and yielded robust results with respect to prognostic performance. INTERPRETATION CSF biomarker testing adds prognostic value in half of the MCI patients. As such, we achieve a CSF saving recommendation while simultaneously retaining optimal prognostic accuracy.
Collapse
Affiliation(s)
- Ingrid S van Maurik
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands. .,Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Hanneke F M Rhodius-Meester
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.,Department of Internal Medicine, Geriatric Medicine Section, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.,Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Johannes Berkhof
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
67
|
Epelbaum S, Saade YM, Flamand Roze C, Roze E, Ferrieux S, Arbizu C, Nogues M, Azuar C, Dubois B, Tezenas du Montcel S, Teichmann M. A Reliable and Rapid Language Tool for the Diagnosis, Classification, and Follow-Up of Primary Progressive Aphasia Variants. Front Neurol 2021; 11:571657. [PMID: 33469441 PMCID: PMC7813774 DOI: 10.3389/fneur.2020.571657] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 12/02/2020] [Indexed: 11/17/2022] Open
Abstract
Background: Primary progressive aphasias (PPA) have been investigated by clinical, therapeutic, and fundamental research but examiner-consistent language tests for reliable reproducible diagnosis and follow-up are lacking. Methods: We developed and evaluated a rapid language test for PPA (“PARIS”) assessing its inter-examiner consistency, its power to detect and classify PPA, and its capacity to identify language decline after a follow-up of 9 months. To explore the reliability and specificity/sensitivity of the test it was applied to PPA patients (N = 36), typical amnesic Alzheimer's disease (AD) patients (N = 24) and healthy controls (N = 35), while comparing it to two rapid examiner-consistent language tests used in stroke-induced aphasia (“LAST”, “ART”). Results: The application duration of the “PARIS” was ~10 min and its inter-rater consistency was of 88%. The three tests distinguished healthy controls from AD and PPA patients but only the “PARIS” reliably separated PPA from AD and allowed for classifying the two most frequent PPA variants: semantic and logopenic PPA. Compared to the “LAST” and “ART,” the “PARIS” also had the highest sensitivity for detecting language decline. Conclusions: The “PARIS” is an efficient, rapid, and highly examiner-consistent language test for the diagnosis, classification, and follow-up of frequent PPA variants. It might also be a valuable tool for providing end-points in future therapeutic trials on PPA and other neurodegenerative diseases affecting language processing.
Collapse
Affiliation(s)
- Stéphane Epelbaum
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France.,Institut du Cerveau, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.,Inria, Aramis-project team, 'APHP-INRIA collaboration', Paris, France
| | - Yasmina Michel Saade
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Constance Flamand Roze
- Centre Hospitalier Sud-Francilien, Université Paris Sud, Corbeil-Essonnes, Service de Neurologie et Unité Neurovasculaire, Corbeil-Essonnes, France
| | - Emmanuel Roze
- Institut du Cerveau, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France.,Department of Neurology, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Sophie Ferrieux
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Céline Arbizu
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Marie Nogues
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France
| | - Carole Azuar
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France.,Institut du Cerveau, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Bruno Dubois
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France.,Institut du Cerveau, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| | - Sophie Tezenas du Montcel
- Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière - Charles Foix, Paris, France
| | - Marc Teichmann
- Department of Neurology, National Reference Center for "PPA and rare dementias", Institute for Memory and Alzheimer's Disease, Pitié Salpêtrière Hospital, AP-HP, Paris, France.,Institut du Cerveau, ICM, INSERM U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
| |
Collapse
|
68
|
Duits FH, Wesenhagen KEJ, Ekblad L, Wolters E, Willemse EAJ, Scheltens P, van der Flier WM, Teunissen CE, Visser PJ, Tijms BM. Four subgroups based on tau levels in Alzheimer's disease observed in two independent cohorts. Alzheimers Res Ther 2021; 13:2. [PMID: 33397464 PMCID: PMC7780683 DOI: 10.1186/s13195-020-00713-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 10/22/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND As Alzheimer's disease (AD) pathology presents decades before dementia manifests, unbiased biomarker cut-points may more closely reflect presence of pathology than clinically defined cut-points. Currently, unbiased cerebrospinal fluid (CSF) tau cut-points are lacking. METHODS We investigated CSF t-tau and p-tau cut-points across the clinical spectrum using Gaussian mixture modelling, in two independent cohorts (Amsterdam Dementia Cohort and ADNI). RESULTS Individuals with normal cognition (NC) (total n = 1111), mild cognitive impairment (MCI) (total n = 1213) and Alzheimer's disease dementia (AD) (total n = 1524) were included. In both cohorts, four CSF t- and p-tau distributions and three corresponding cut-points were identified. Increasingly high tau subgroups were characterized by steeper MMSE decline and higher progression risk to AD (cohort/platform-dependent HR, t-tau 1.9-21.3; p-tau 2.2-9.5). LIMITATIONS The number of subjects in some subgroups and subanalyses was small, especially in the highest tau subgroup and in tau PET analyses. CONCLUSIONS In two independent cohorts, t-tau and p-tau levels showed four subgroups. Increasingly high tau subgroups were associated with faster clinical decline, suggesting our approach may aid in more precise prognoses.
Collapse
Affiliation(s)
- Flora H Duits
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Kirsten E J Wesenhagen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Laura Ekblad
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland
| | - Emma Wolters
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Eline A J Willemse
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Department of Clinical Chemistry, Neurochemistry Laboratory, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Alzheimer Center Limburg, Department of Psychiatry & Neuropsychology, School of Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Betty M Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| |
Collapse
|
69
|
Hansen EO, Dias NS, Burgos ICB, Costa MV, Carvalho AT, Teixeira AL, Barbosa IG, Santos LAV, Rosa DVF, Ribeiro AJF, Viana BM, Bicalho MAC. Millipore xMap® Luminex (HATMAG-68K): An Accurate and Cost-Effective Method for Evaluating Alzheimer's Biomarkers in Cerebrospinal Fluid. Front Psychiatry 2021; 12:716686. [PMID: 34531769 PMCID: PMC8438166 DOI: 10.3389/fpsyt.2021.716686] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Alzheimer's disease (AD) biomarkers are of great relevance in clinical research, especially after the AT(N) framework. They enable early diagnosis, disease staging and research with new promising drugs, monitoring therapeutic response. However, the high cost and low availability of the most well-known methods limits their use in low and medium-income countries. In this context, Millipore xMap® Luminex may be a cost-effective alternative. In our study, using INNOTEST® as reference, we assess the diagnostic accuracy of Millipore xMap® and propose a cutoff point for AD. Methods: We performed lumbar puncture of seven older individuals with clinically defined AD, 17 with amnestic mild cognitive impairment (aMCI) and 11 without objective cognitive impairment-control group (CG). Cerebrospinal fluid (CSF) biomarkers concentrations for aB42, p-Tau, and t-Tau were measured by INNOTEST® and Millipore xMap®, and then the techniques were compared to assess the diagnostic accuracy of the new test and to define a cutoff. Results: INNOTEST® and Millipore xMap® measurements showed all correlations >0.8 for the same biomarker, except for t-Tau that was 0.66. Millipore xMap® measurements showed a robust accuracy for all biomarkers, with AUC higher than 0.808 (t-Tau), and the best for Aβ42 (AUC = 0.952). The most accurate cutoffs were found at 1012.98 pg/ml (Aβ42), 64.54 pg/ml (p-tau), 3251.81 pg/ml (t-tau), 3.370 (t-Tau/Aβ42), and 0.059 (p-Tau/Aβ42). Conclusion: Given its good accuracy and cost-effectiveness, Milliplex xMap® tests seems a reliable and promising tool, especially for low and middle-income countries.
Collapse
Affiliation(s)
- Erika Oliveira Hansen
- Jenny de Andrade Faria Institute- Reference Center for the Elderly, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Molecular Medicine Program, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Natalia Silva Dias
- Neuroscience Program, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Elderly Psychiatry and Psychology Extension Program (PROEPSI), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Ivonne Carolina Bolaños Burgos
- Adult Health Sciences Applied Program, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Monica Vieira Costa
- Molecular Medicine Program, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Antonio Lucio Teixeira
- Department of Psychiatry and Behavioral Sciences, UT Health, Houston, TX, United States.,Instituto de Ensino e Pesquisa, Santa Casa de Belo Horizonte, Belo Horizonte, Brazil
| | - Izabela Guimarães Barbosa
- Neuroscience Program, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Elderly Psychiatry and Psychology Extension Program (PROEPSI), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Mental Health, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Lorena Aline Valu Santos
- National Institute of Science and Technology of Molecular Medicine (INCT-MM), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Daniela Valadão Freitas Rosa
- National Institute of Science and Technology of Molecular Medicine (INCT-MM), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Bernardo Mattos Viana
- Jenny de Andrade Faria Institute- Reference Center for the Elderly, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Elderly Psychiatry and Psychology Extension Program (PROEPSI), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Mental Health, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Maria Aparecida Camargos Bicalho
- Jenny de Andrade Faria Institute- Reference Center for the Elderly, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Molecular Medicine Program, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Elderly Psychiatry and Psychology Extension Program (PROEPSI), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,National Institute of Science and Technology of Molecular Medicine (INCT-MM), Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Clinical Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| |
Collapse
|
70
|
Álvarez I, Diez-Fairen M, Aguilar M, González JM, Ysamat M, Tartari JP, Carcel M, Alonso A, Brix B, Arendt P, Pastor P. Added value of cerebrospinal fluid multimarker analysis in diagnosis and progression of dementia. Eur J Neurol 2020; 28:1142-1152. [PMID: 33236496 DOI: 10.1111/ene.14658] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Recently, some emerging cerebrospinal fluid (CSF) markers have been proposed as diagnostic tools for Alzheimer disease (AD) that can have an effect on disease progression. We analyze the accuracy of these CSF markers for diagnosis of AD in reference to brain amyloid positron emission tomography (PET). We also investigated whether they help in differentiating AD from other dementias and examined their influence in tracing the progression to dementia. METHODS Amyloid-β (Aβ) 1-42, total tau (t-tau), phosphorylated tau, Aβ40 , Aβ38 , beta-site amyloid precursor protein cleaving enzyme 1 (BACE-1), neurogranin (ng), phosphorylated neurofilament heavy-chain, and α-synuclein (α-syn) CSF levels were analyzed in 319 subjects, among whom 57 also underwent an amyloid PET scan. We also analyzed longitudinal clinical data from 239 subjects. RESULTS Emerging CSF markers, especially ng/BACE-1 ratio (area under the curve = 0.77) and their combinations with core AD CSF markers (all AUCs >0.85), showed high accuracy to discriminate amyloid PET positivity. Subjects with AD had higher CSF BACE-1, ng, and α-syn levels than those with non-AD dementia. CSF t-tau/α-syn ratio was higher in subjects with dementia with Lewy bodies than in those with frontotemporal dementia. Most emerging/core AD ratios predicted a faster conversion from mild cognitive impairment (MCI) stage to AD and appeared to be helpful when core AD CSF markers were discordant. In addition, the rate of cognitive decline was associated with all CSF core AD markers, several emerging/core AD two-marker ratios, and CSF ng levels. CONCLUSIONS These results suggest that emerging biomarkers in conjunction with core AD markers improve diagnosis of AD, are associated with the conversion from MCI into AD, and predict a faster progression of dementia.
Collapse
Affiliation(s)
- Ignacio Álvarez
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Monica Diez-Fairen
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Miquel Aguilar
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Jose Manuel González
- Centre de Tecnologia Diagnòstica, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Montse Ysamat
- Centre de Tecnologia Diagnòstica, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Juan Pablo Tartari
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Maria Carcel
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Britta Brix
- Institute of Experimental Immunology, affiliated to EUROIMMUN Medizinische Labordiagnostika AG, Luebeck, Germany
| | - Philipp Arendt
- Institute of Experimental Immunology, affiliated to EUROIMMUN Medizinische Labordiagnostika AG, Luebeck, Germany
| | - Pau Pastor
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain.,Fundació per a la Recerca Biomèdica i Social Mútua de Terrassa, Terrassa, Spain
| |
Collapse
|
71
|
Tondo G, Carli G, Santangelo R, Mattoli MV, Presotto L, Filippi M, Magnani G, Iannaccone S, Cerami C, Perani D. Biomarker-based stability in limbic-predominant amnestic mild cognitive impairment. Eur J Neurol 2020; 28:1123-1133. [PMID: 33185922 DOI: 10.1111/ene.14639] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND The amnestic presentation of mild cognitive impairment (aMCI) represents the most common prodromal stage of Alzheimer's disease (AD) dementia. There is, however, some evidence of aMCI with typical amnestic syndrome but showing long-term clinical stability. The ability to predict stability or progression to dementia in the aMCI condition is important, particularly for the selection of candidates in clinical trials. We aimed to establish the role of in vivo biomarkers, as assessed by cerebrospinal fluid (CSF) measures and [18 F]fluorodeoxyglucose (FDG)-positron emission tomography (PET) imaging, in predicting prognosis in a large aMCI cohort. METHODS We conducted a retrospective study, including 142 aMCI subjects who had a long follow-up (4-19 years), baseline CSF data and [18 F]FDG-PET scans individually assessed by validated voxel-based procedures, classifying subjects into either limbic-predominant or AD-like hypometabolism patterns. RESULTS The two aMCI cohorts were clinically comparable at baseline. At follow-up, the aMCI group with a limbic-predominant [18 F]FDG-PET pattern showed clinical stability over a very long follow-up (8.20 ± 3.30 years), no decline in Mini-Mental State Examination score, and only 7% conversion to dementia. Conversely, the aMCI group with an AD-like [18 F]FDG-PET pattern had a high rate of dementia progression (86%) over a shorter follow-up (6.47 ± 2.07 years). Individual [18 F]FDG-PET hypometabolism patterns predicted stability or conversion with high accuracy (area under the curve = 0.89), sensitivity (0.90) and specificity (0.89). In the limbic-predominant aMCI cohort, CSF biomarkers showed large variability and no prognostic value. CONCLUSIONS In a large series of clinically comparable subjects with aMCI at baseline, the specific [18 F]FDG-PET limbic-predominant hypometabolism pattern was associated with clinical stability, making progression to AD very unlikely. The identification of a biomarker-based benign course in aMCI subjects has important implications for prognosis and in planning clinical trials.
Collapse
Affiliation(s)
- Giacomo Tondo
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulia Carli
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Roberto Santangelo
- Department of Neurology and INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - Maria Vittoria Mattoli
- Department of Neuroscience, Imaging and Clinical Science, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Luca Presotto
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Massimo Filippi
- Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology and INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - Giuseppe Magnani
- Department of Neurology and INSPE, San Raffaele Scientific Institute, Milan, Italy
| | - Sandro Iannaccone
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | - Chiara Cerami
- Scuola Universitaria Superiore IUSS, Pavia, Italy.,Cognitive Computational Neuroscience Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | | |
Collapse
|
72
|
Wolters EE, van de Beek M, Ossenkoppele R, Golla SSV, Verfaillie SCJ, Coomans EM, Timmers T, Visser D, Tuncel H, Barkhof F, Boellaard R, Windhorst AD, van der Flier WM, Scheltens P, Lemstra AW, van Berckel BNM. Tau PET and relative cerebral blood flow in dementia with Lewy bodies: A PET study. Neuroimage Clin 2020; 28:102504. [PMID: 33395993 PMCID: PMC7714680 DOI: 10.1016/j.nicl.2020.102504] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 11/08/2020] [Accepted: 11/10/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE Alpha-synuclein often co-occurs with Alzheimer's disease (AD) pathology in Dementia with Lewy Bodies (DLB). From a dynamic [18F]flortaucipir PET scan we derived measures of both tau binding and relative cerebral blood flow (rCBF). We tested whether regional tau binding or rCBF differed between DLB patients and AD patients and controls and examined their association with clinical characteristics of DLB. METHODS Eighteen patients with probable DLB, 65 AD patients and 50 controls underwent a dynamic 130-minute [18F]flortaucipir PET scan. DLB patients with positive biomarkers for AD based on cerebrospinal fluid or amyloid PET were considered as DLB with AD pathology (DLB-AD+). Receptor parametric mapping (cerebellar gray matter reference region) was used to extract regional binding potential (BPND) and R1, reflecting (AD-specific) tau pathology and rCBF, respectively. First, we performed regional comparisons of [18F]flortaucipir BPND and R1 between diagnostic groups. In DLB patients only, we performed regression analyses between regional [18F]flortaucipir BPND, R1 and performance on ten neuropsychological tests. RESULTS Regional [18F]flortaucipir BPND in DLB was comparable with tau binding in controls (p > 0.05). Subtle higher tau binding was observed in DLB-AD+ compared to DLB-AD- in the medial temporal and parietal lobe (both p < 0.05). Occipital and lateral parietal R1 was lower in DLB compared to AD and controls (all p < 0.01). Lower frontal R1 was associated with impaired performance on digit span forward (standardized beta, stβ = 0.72) and category fluency (stβ = 0.69) tests. Lower parietal R1 was related to lower delayed (stβ = 0.50) and immediate (stβ = 0.48) recall, VOSP number location (stβ = 0.70) and fragmented letters (stβ = 0.59) scores. Lower occipital R1 was associated to worse performance on VOSP fragmented letters (stβ = 0.61), all p < 0.05. CONCLUSION The amount of tau binding in DLB was minimal and did not differ from controls. However, there were DLB-specific occipital and lateral parietal relative cerebral blood flow reductions compared to both controls and AD patients. Regional rCBF, but not tau binding, was related to cognitive impairment. This indicates that assessment of rCBF may give more insight into disease mechanisms in DLB than tau PET.
Collapse
Affiliation(s)
- E E Wolters
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - M van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - S S V Golla
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - S C J Verfaillie
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - E M Coomans
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - T Timmers
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - D Visser
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - H Tuncel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - F Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Institutes of Neurology & Healthcare Engineering, UCL, London, United Kingdom
| | - R Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - A D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - W M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ph Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - A W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - B N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
73
|
Richter N, Bischof GN, Dronse J, Nellessen N, Neumaier B, Langen KJ, Drzezga A, Fink GR, van Eimeren T, Kukolja J, Onur OA. Entorhinal Tau Predicts Hippocampal Activation and Memory Deficits in Alzheimer's Disease. J Alzheimers Dis 2020; 78:1601-1614. [PMID: 33164934 DOI: 10.3233/jad-200835] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND To date, it remains unclear how amyloid plaques and neurofibrillary tangles are related to neural activation and, consequently, cognition in Alzheimer's disease (AD). Recent findings indicate that tau accumulation may drive hippocampal hyperactivity in cognitively normal aging, but it remains to be elucidated how tau accumulation is related to neural activation in AD. OBJECTIVE To determine whether the association between tau accumulation and hippocampal hyperactivation persists in mild cognitive impairment (MCI) and mild dementia or if the two measures dissociate with disease progression, we investigated the relationship between local tau deposits and memory-related neural activation in MCI and mild dementia due to AD. METHODS Fifteen patients with MCI or mild dementia due to AD underwent a neuropsychological assessment and performed an item memory task during functional magnetic resonance imaging. Cerebral tau accumulation was assessed using positron emission tomography and [18F]-AV-1451. RESULTS Entorhinal, but not global tau accumulation, was highly correlated with hippocampal activation due to visual item memory encoding and predicted memory loss over time. Neural activation in the posterior cingulate cortex and the fusiform gyrus was not significantly correlated with tau accumulation. CONCLUSION These findings extend previous observations in cognitively normal aging, demonstrating that entorhinal tau continues to be closely associated with hippocampal hyperactivity and memory performance in MCI and mild dementia due to AD. Furthermore, data suggest that this association is strongest in medial temporal lobe structures. In summary, our data provide novel insights into the relationship of tau accumulation to neural activation and memory in AD.
Collapse
Affiliation(s)
- Nils Richter
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gérard N Bischof
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julian Dronse
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nils Nellessen
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bernd Neumaier
- Nuclear Chemistry, Institute of Neuroscience and Medicine (INM-5), Research Center Jülich, Jülich, Germany.,Institute for Radiochemistry and Experimental Molecular Imaging, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karl-Josef Langen
- Medical Imaging Physics, Institute of Neuroscience and Medicine (INM-4), Research Center Jülich, Jülich, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Juraj Kukolja
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Neurology and Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
| | - Oezguer A Onur
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| |
Collapse
|
74
|
Reimand J, Boon BDC, Collij LE, Teunissen CE, Rozemuller AJM, van Berckel BNM, Scheltens P, Ossenkoppele R, Bouwman F. Amyloid-β PET and CSF in an autopsy-confirmed cohort. Ann Clin Transl Neurol 2020; 7:2150-2160. [PMID: 33080124 PMCID: PMC7664271 DOI: 10.1002/acn3.51195] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/24/2020] [Accepted: 08/27/2020] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE Accumulation of amyloid-β is among the earliest changes in Alzheimer's disease (AD). Amyloid-β positron emission tomography (PET) and Aβ42 in cerebrospinal fluid (CSF) both assess amyloid-β pathology in-vivo, but 10-20% of cases show discordant (CSF+/PET- or CSF-/PET+) results. The neuropathological correspondence with amyloid-β CSF/PET discordance is unknown. METHODS We included 21 patients from our tertiary memory clinic who had undergone both CSF Aβ42 analysis and amyloid-β PET, and had neuropathological data available. Amyloid-β PET and CSF results were compared with neuropathological ABC scores (comprising of Thal (A), Braak (B), and CERAD (C) stage, all ranging from 0 [low] to 3 [high]) and neuropathological diagnosis. RESULTS Neuropathological diagnosis was AD in 11 (52%) patients. Amyloid-β PET was positive in all A3, C2, and C3 cases and in one of the two A2 cases. CSF Aβ42 was positive in 92% of ≥A2 and 90% of ≥C2 cases. PET and CSF were discordant in three of 21 (14%) cases: CSF+/PET- in a patient with granulomatosis with polyangiitis (A0B0C0), CSF+/PET- in a patient with FTLD-TDP type B (A2B1C1), and CSF-/PET+ in a patient with AD (A3B3C3). Two CSF+/PET+ cases had a non-AD neuropathological diagnosis, that is FTLD-TDP type E (A3B1C1) and adult-onset leukoencephalopathy with axonal spheroids (A1B1C0). INTERPRETATION Our study demonstrates neuropathological underpinnings of amyloid-β CSF/PET discordance. Furthermore, amyloid-β biomarker positivity on both PET and CSF did not invariably result in an AD diagnosis at autopsy, illustrating the importance of considering relevant comorbidities when evaluating amyloid-β biomarker results.
Collapse
Affiliation(s)
- Juhan Reimand
- Department of Neurology & Alzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
- Department of Health TechnologiesTallinn University of TechnologyTallinnEstonia
- Radiology CentreNorth Estonia Medical CentreTallinnEstonia
| | - Baayla D. C. Boon
- Department of Neurology & Alzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
- Department of PathologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Lyduine E. Collij
- Department of Radiology and Nuclear MedicineAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryDepartment of Clinical ChemistryAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Annemieke J. M. Rozemuller
- Department of PathologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Bart N. M. van Berckel
- Department of Radiology and Nuclear MedicineAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
- Clinical Memory Research UnitLund UniversityLundSweden
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center AmsterdamAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamThe Netherlands
| |
Collapse
|
75
|
Scarioni M, Arighi A, Fenoglio C, Sorrentino F, Serpente M, Rotondo E, Mercurio M, Marotta G, Dijkstra AA, Pijnenburg YAL, Scarpini E, Galimberti D. Late-onset presentation and phenotypic heterogeneity of the rare R377W PSEN1 mutation. Eur J Neurol 2020; 27:2630-2634. [PMID: 32894632 DOI: 10.1111/ene.14506] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 08/31/2020] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE Mutations in the PSEN1 gene are the most common cause of autosomal-dominant Alzheimer's disease and have been associated with the earliest disease onset. We describe an unusual presentation of the rare R377W PSEN1 mutation with a late age of onset, and we provide for the first time in vivo pathological evidence for this mutation. METHODS A 71-year-old female patient with progressive cognitive decline in the past 3 years and positive family history for dementia underwent neurological evaluation, neuropsychological testing, lumbar puncture, conventional brain imaging, amyloid-positron emission tomography (PET) and extensive genetic screening with a next-generation sequencing technique. RESULTS The diagnostic workup revealed mixed behavioural and amnestic disease features on neuropsychological tests, magnetic resonance imaging, and 18-fluorodeoxyglucose (FDG)-PET. Amyloid-PET detected amyloid deposition in the frontal areas, in the parietal lobes and the precunei. The genetic screening revealed the presence of the rare R377W mutation in the PSEN1 gene. CONCLUSIONS Extensive genetic screening is also advisable for late-onset presentations of Alzheimer's disease, especially in the presence of a positive family history or atypical clinical features.
Collapse
Affiliation(s)
- M Scarioni
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy.,Department of Pathology, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands.,Department of Neurology, Alzheimer Center, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - A Arighi
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - C Fenoglio
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - F Sorrentino
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - M Serpente
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - E Rotondo
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - M Mercurio
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - G Marotta
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy
| | - A A Dijkstra
- Department of Pathology, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Y A L Pijnenburg
- Department of Neurology, Alzheimer Center, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - E Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - D Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| |
Collapse
|
76
|
Coppola C, Saracino D, Oliva M, Cipriano L, Puoti G, Pappatà S, Di Fede G, Catania M, Ricci M, Cimini S, Giaccone G, Bonavita S, Rossi G. Singular cases of Alzheimer's disease disclose new and old genetic "acquaintances". Neurol Sci 2020; 42:2021-2029. [PMID: 33006056 PMCID: PMC8043869 DOI: 10.1007/s10072-020-04774-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 09/25/2020] [Indexed: 12/01/2022]
Abstract
Background Alzheimer’s disease (AD) is the most common age-related dementia. Besides its typical presentation with amnestic syndrome at onset, atypical AD cases are being increasingly recognized, often in presenile age. Objectives To provide an extensive clinical and genetic characterization of six AD patients carrying one or more singular features, including age of onset, atypical phenotype and disease progression rate. By reviewing the pertinent literature and accessing publicly available databases, we aimed to assess the frequency and the significance of the identified genetic variants. Methods Biomarkers of amyloid-β deposition and neurodegeneration were used to establish the in vivo diagnosis of probable AD, in addition to neurological and neuropsychological evaluation, extensive laboratory assays and neuroradiological data. Considering the presenile onset of the majority of the cases, we hypothesized genetically determined AD and performed extensive genetic analyses by both Sanger sequencing and next generation sequencing (NGS). Results We disclosed two known missense variants, one in PSEN1 and the other in PSEN2, and a novel silent variant in PSEN2. Most notably, we identified several additional variants in other dementia-related genes by NGS. Some of them have never been reported in any control or disease databases, representing variants unique to our cases. Conclusions This work underlines the difficulties in reaching a confident in vivo diagnosis in cases of atypical dementia. Moreover, a wider genetic analysis by NGS approach may prove to be useful in specific cases, especially when the study of the so-far known AD causative genes produces negative or conflicting results.
Collapse
Affiliation(s)
- Cinzia Coppola
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy. .,Second Division of Neurology, University of Campania "Luigi Vanvitelli", Isola 8 - Edificio 10 Policlinico "Federico II" via Pansini 5, 80131, Naples, Italy.
| | - Dario Saracino
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Mariano Oliva
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Lorenzo Cipriano
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Gianfranco Puoti
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Sabina Pappatà
- Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.,Department of Advanced Biomedical Sciences, Federico II University, Naples, Italy
| | - Giuseppe Di Fede
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Marcella Catania
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Martina Ricci
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Sara Cimini
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Giorgio Giaccone
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Giacomina Rossi
- Division of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| |
Collapse
|
77
|
Popuri K, Ma D, Wang L, Beg MF. Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases. Hum Brain Mapp 2020; 41:4127-4147. [PMID: 32614505 PMCID: PMC7469784 DOI: 10.1002/hbm.25115] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 04/15/2020] [Accepted: 06/08/2020] [Indexed: 12/29/2022] Open
Abstract
Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1-weighted magnetic resonance imaging (MRI) is a commonly used neuroimaging modality for measuring brain structure in vivo, potentially providing information enabling the design of biomarkers for DAT. We propose a novel biomarker using structural MRI volume-based features to compute a similarity score for the individual's structural patterns relative to those observed in the DAT group. We employed ensemble-learning framework that combines structural features in most discriminative ROIs to create an aggregate measure of neurodegeneration in the brain. This classifier is trained on 423 stable normal control (NC) and 330 DAT subjects, where clinical diagnosis is likely to have the highest certainty. Independent validation on 8,834 unseen images from ADNI, AIBL, OASIS, and MIRIAD Alzheimer's disease (AD) databases showed promising potential to predict the development of DAT depending on the time-to-conversion (TTC). Classification performance on stable versus progressive mild cognitive impairment (MCI) groups achieved an AUC of 0.81 for TTC of 6 months and 0.73 for TTC of up to 7 years, achieving state-of-the-art results. The output score, indicating similarity to patterns seen in DAT, provides an intuitive measure of how closely the individual's brain features resemble the DAT group. This score can be used for assessing the presence of AD structural atrophy patterns in normal aging and MCI stages, as well as monitoring the progression of the individual's brain along with the disease course.
Collapse
Affiliation(s)
- Karteek Popuri
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
| | - Da Ma
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
| | - Lei Wang
- Feinberg School of MedicineNorthwestern UniversityEvanstonIllinoisUSA
| | - Mirza Faisal Beg
- School of Engineering ScienceSimon Fraser UniversityBarnabyBritish ColumbiaCanada
| |
Collapse
|
78
|
Mazzon G, Ajčević M, Cattaruzza T, Menichelli A, Guerriero M, Capitanio S, Pesavento V, Dore F, Sorbi S, Manganotti P, Marini A. Connected Speech Deficit as an Early Hallmark of CSF-defined Alzheimer's Disease and Correlation with Cerebral Hypoperfusion Pattern. Curr Alzheimer Res 2020; 16:483-494. [PMID: 31057108 DOI: 10.2174/1567205016666190506141733] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 04/10/2019] [Accepted: 04/30/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Diagnosis of prodromal Alzheimer's disease (AD) still represents a hot topic and there is a growing interest for the detection of early and non-invasive biomarkers. Although progressive episodic memory impairment is the typical predominant feature of AD, communicative difficulties can be already present at the early stages of the disease. OBJECTIVE This study investigated the narrative discourse production deficit as a hallmark of CSFdefined prodromal AD and its correlation with cerebral hypoperfusion pattern. METHODS Narrative assessment with a multilevel procedure for discourse analysis was conducted on 28 subjects with Mild Cognitive Impairment (15 MCI due to AD; 13 MCI non-AD) and 28 healthy controls. The diagnostic workup included CSF AD biomarkers. Cerebral hypoperfusion pattern was identified by SPECT image processing. RESULTS The results showed that the discourse analysis of global coherence and lexical informativeness indexes allowed to identify MCI due to AD from MCI non-AD and healthy subjects. These findings allow to hypothesize that the loss of narrative efficacy could be a possible early clinical hallmark of Alzheimer's disease. Furthermore, a significant correlation of global coherence and lexical informativeness reduction with the SPECT hypoperfusion was found in the dorsal aspect of the anterior part of the left inferior frontal gyrus, supporting the hypothesis that this area has a significant role in communicative efficacy, and in particular, in semantic selection executive control. CONCLUSION This study contributes to the understanding of the neural networks for language processing and their involvement in prodromal Alzheimer's disease. It also suggests an easy and sensitive tool for clinical practice that can help identifying individuals with prodromal Alzheimer's disease.
Collapse
Affiliation(s)
- Giulia Mazzon
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Miloš Ajčević
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy.,NEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy
| | - Tatiana Cattaruzza
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Alina Menichelli
- Department of Rehabilitation Medicine, Neuropsychology Unit, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Michele Guerriero
- Department of Rehabilitation Medicine, Neuropsychology Unit, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Selene Capitanio
- Unit of Nuclear Medicine, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Valentina Pesavento
- Department of Rehabilitation Medicine, Neuropsychology Unit, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Franca Dore
- Unit of Nuclear Medicine, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Sandro Sorbi
- NEUROFARBA Department, Neuroscience Section, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Paolo Manganotti
- Clinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, University of Trieste, Trieste, Italy
| | - Andrea Marini
- Department of Language and Literatures, Communication, Education and Society, University of Udine, Udine, Italy.,Claudiana - Landesfachhochschule für Gesundheitsberufe, Bozen, Italy
| |
Collapse
|
79
|
Wong BYX, Yong TT, Lim L, Tan JY, Ng ASL, Ting SKS, Hameed S, Ng KP, Zhou JH, Kandiah N. Medial Temporal Atrophy in Amyloid-Negative Amnestic Type Dementia Is Associated with High Cerebral White Matter Hyperintensity. J Alzheimers Dis 2020; 70:99-106. [PMID: 31177215 DOI: 10.3233/jad-181261] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Non-amyloid mechanisms behind neurodegeneration and cognition impairment are unclear. Cerebrovascular disease (CVD) may play an important role in suspected non-Alzheimer's pathophysiology (SNAP), especially in Asia. OBJECTIVE To examine the association between CVD and medial temporal lobe atrophy (MTA) in amyloid-β negative patients with mild amnestic type dementia. METHODS Thirty-six mild dementia patients with complete neuropsychological, cerebrospinal fluid (CSF) biomarker, and neuroimaging information were included. Only patients with clinically significant MTA were recruited. Patients were categorized based on their CSF Aβ levels. Neuroimaging and neuropsychological variables were analyzed. RESULTS Despite comparable MTA between Aβ positive and negative patients, Aβ-negative patients had significantly greater white matter hyperintensities (WMH; Total Fazekas Rating) than their Aβ-positive counterparts (6.42 versus 4.19, p = 0.03). A larger proportion of Aβ-negative patients also had severe and confluent WMH. Regression analyses controlling for baseline characteristics yielded consistent results. CONCLUSION Our findings demonstrate that MTA is associated with greater CVD burden among Aβ-negative patients with amnestic type dementia. CVD may be an important mechanism behind hippocampal atrophy. This has implications on clinical management strategies, where measures to reduce CVD may slow neurodegeneration and disease progression.
Collapse
Affiliation(s)
| | - Ting Ting Yong
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Levinia Lim
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Jayne Yi Tan
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Adeline Su Lyn Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | | | - Shahul Hameed
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Kok Pin Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Juan Helen Zhou
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-NUS Medical School, Singapore, Singapore
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| |
Collapse
|
80
|
Boelaarts L, de Jonghe JF, Scheltens P. Diagnostic Impact of CSF Biomarkers in a Local Hospital Memory Clinic Revisited. Dement Geriatr Cogn Disord 2020; 49:2-7. [PMID: 32224618 PMCID: PMC7592944 DOI: 10.1159/000506332] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 02/01/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Research guidelines on predicting and diagnosing Alzheimer's disease (AD) acknowledge cerebrospinal fluid (CSF) levels as pivotal biomarkers. We studied the usefulness of CSF biomarkers in the diagnostic workup of patients in a geriatric outpatient memory clinic of a community-based hospital, attempted to determine a cutoff age for the use of CSF biomarkers in this group of patients, and compared the total τ/Aβ ratio as an alternative CSF diagnostic rule with the usual rules for interpreting CSF levels. METHODS This was a prospective study of consecutively referred patients. Inclusion criteria were described on the basis of previous study results in the same setting. The CSF tool was applied either to differentiate between AD and no AD or to increase certainty having made the diagnosis of AD. Clinicians were asked to judge whether the CSF results were helpful to them or not. RESULTS The reasons to use the CSF tool in the diagnostic workup were in 78/106 patients to decide between the diagnosis "AD" and "no AD" and in 28/106 patients to increase the certainty regarding the diagnosis. In 75% of cases the CSF levels were considered diagnostically helpful to the clinicians. Results in the present setting suggest 65 years as the cutoff age to use CSF as a diagnostic tool. The sensitivity and specificity of the total τ/Aβ ratio using the clinical diagnosis as the gold standard were at least as good as the usual categorization rule. CONCLUSIONS Our study results corroborate earlier findings that the CSF tool is of added value to the diagnostic workup in daily clinical practice outside tertiary referral centers. CSF levels can best be used in patients under 66 years of age. Given the limited use of this tool in settings outside research facilities, we recommend that the usefulness of CSF biomarkers is studied in a multicenter study. When in the future CSF levels can be reliably measured in plasma, this may become even more relevant.
Collapse
Affiliation(s)
- Leo Boelaarts
- Department of Geriatric Medicine, NoordWest Hospital Group, Alkmaar, The Netherlands,
| | - Jos F.M. de Jonghe
- Department of Geriatric Medicine, NoordWest Hospital Group, Alkmaar, The Netherlands
| | - Philip Scheltens
- Alzheimer Center, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| |
Collapse
|
81
|
Exalto LG, Boomsma JMF, Babapour Mofrad R, Barkhof F, Groeneveld ON, Heinen R, Kuijf HJ, Leeuwis AE, Prins ND, Biessels GJ, vd Flier WM. Sex differences in memory clinic patients with possible vascular cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12090. [PMID: 32875057 PMCID: PMC7447910 DOI: 10.1002/dad2.12090] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/13/2020] [Accepted: 07/22/2020] [Indexed: 12/26/2022]
Abstract
INTRODUCTION We aimed to establish sex differences in vascular brain damage of memory clinic patients with possible vascular cognitive impairment (VCI). METHODS A total of 860 memory clinic patients (aged 67.7 ± 8.5; 46% female) with cognitive complaints and vascular brain damage (ie, possible VCI) from the prospective TRACE-VCI (Utrecht-Amsterdam Clinical Features and Prognosis in Vascular Cognitive Impairment) cohort study with 2-year follow-up were included. Age-adjusted female-to-male differences were calculated with general linear models, for demographic variables, vascular risk factors, clinical diagnosis, cognitive performance, and brain magnetic resonance imaging markers. RESULTS We found no difference in age nor distribution of clinical diagnoses between females and males. Females performed worse on the MMSE (Mini-Mental State Examination) and CAMCOG (Cognitive and Self-Contained Part of the Cambridge Examination for Mental Disorders of the Elderly). Females had a larger white matter hyperintensity volume, while males more often showed (lacunar) infarcts. There was no difference in microbleed prevalence. Males had smaller normalized total brain and gray matter volumes. During follow-up, occurrence of cognitive decline and institutionalization was comparable, but mortality was higher in males. DISCUSSION Our results suggest that susceptibility and underlying etiology of VCI might differ by sex. Males seem to have more large vessel brain damage compared to females that have more small vessel brain damage.
Collapse
Affiliation(s)
- Lieza G. Exalto
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Jooske M. F. Boomsma
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Rosha Babapour Mofrad
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam NeuroscienceVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
- Neurochemistry Laboratory and BiobankDepartment of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMCVU University Medical CenterAmsterdamthe Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear MedicineVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
- Institute of NeurologyUCLLondonUK
- Institute of Healthcare EngineeringUCLLondonUK
| | - Onno N. Groeneveld
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Rutger Heinen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Hugo J. Kuijf
- Image Sciences InstituteUniversity Medical Center UtrechtUtrechtthe Netherlands
| | - Anna E. Leeuwis
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam NeuroscienceVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
| | - Niels D. Prins
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam NeuroscienceVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
- Brain Research CenterAmsterdamthe Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Wiesje M. vd Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam NeuroscienceVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
- Department of EpidemiologyVrije Universiteit Amsterdam, Amsterdam UMCAmsterdamthe Netherlands
| | | |
Collapse
|
82
|
Babapour Mofrad R, Tijms BM, Scheltens P, Barkhof F, van der Flier WM, Sikkes SA, Teunissen CE. Sex differences in CSF biomarkers vary by Alzheimer disease stage and APOE ε4 genotype. Neurology 2020; 95:e2378-e2388. [DOI: 10.1212/wnl.0000000000010629] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 05/19/2020] [Indexed: 12/25/2022] Open
Abstract
ObjectiveTo evaluate sex differences in CSF biomarkers, taking the potential modifying role of clinical disease stage and APOE ε4 genotype into account.MethodWe included participants (n = 1,801) with probable Alzheimer disease (AD) dementia (n = 937), mild cognitive impairment (MCI; n = 437), and subjective cognitive decline (SCD; n = 427). Main outcomes were CSF β-amyloid1–42 (Aβ42), total tau (t-Tau), and tau phosphorylated at threonine 181 (p-Tau) levels. Age-corrected 3-way interactions between sex, disease stage (i.e., syndrome diagnosis at baseline), and APOE ε4 were tested with linear regression analyses for each outcome measure. In case of significant interactions (p < 0.05), sex differences were further evaluated by stratifying analyses for clinical disease stage and APOE ε4 genotype, including age as a covariate.ResultsThree-way interactions were significant for t-Tau (p < 0.001) and p-Tau (p < 0.01) but not Aβ42. In APOE ε4 carriers, women showed higher p-Tau concentrations than men in SCD (Cohen d [95% confidence interval]: t-Tau = 0.52 [0.19–0.84], p < 0.001; p-Tau = 0.44 [0.11–0.77] p = 0.004) and MCI (Cohen d [95% CI]: t-Tau = 0.54 [0.28–0.80], p < 0.001; p-Tau = 0.52 [0.26–0.77], p < 0.001) but not in AD dementia. In APOE ε4 noncarriers, women showed higher p-Tau concentrations in MCI (Cohen d [95% CI]: t-Tau = 0.49 [0.17–0.80], p = 0.002; p-Tau = 0.47 [0.16–0.78], p = 0.003) and AD dementia (Cohen d [95% CI]: t-Tau = 0.42 [0.19–0.65], p < 0.001; p-Tau = 0.38 [0.15–0.61] p = 0.002) but not in SCD.ConclusionsWithin APOE ε4 carriers, sex differences in CSF p-Tau are more evident in early disease stages, whereas for APOE ε4 noncarriers, sex differences are more evident in advanced disease stages. These findings suggest that the effect of APOE ε4 on sex differences in CSF biomarkers depends on disease stage in AD.
Collapse
|
83
|
Boomsma JM, Exalto LG, Barkhof F, Chen CL, Hilal S, Leeuwis AE, Prins ND, Saridin FN, Scheltens P, Teunissen CE, Verwer JH, Weinstein HC, van der Flier WM, Biessels GJ. Prediction of poor clinical outcome in vascular cognitive impairment: TRACE-VCI study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12077. [PMID: 32789162 PMCID: PMC7416669 DOI: 10.1002/dad2.12077] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/13/2020] [Accepted: 07/13/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Prognostication in memory clinic patients with vascular brain injury (eg possible vascular cognitive impairment [VCI]) is often uncertain. We created a risk score to predict poor clinical outcome. METHODS Using data from two longitudinal cohorts of memory clinic patients with vascular brain injury without advanced dementia, we created (n = 707) and validated (n = 235) the risk score. Poor clinical outcome was defined as substantial cognitive decline (change of Clinical Dementia Rating ≥1 or institutionalization) or major vascular events or death. Twenty-four candidate predictors were evaluated using Cox proportional hazard models. RESULTS Age, clinical syndrome diagnosis, Disability Assessment for Dementia, Neuropsychiatric Inventory, and medial temporal lobe atrophy most strongly predicted poor outcome and constituted the risk score (C-statistic 0.71; validation cohort 0.78). Of note, none of the vascular predictors were retained in this model. The 2-year risk of poor outcome was 6.5% for the lowest (0-5) and 55.4% for the highest sum scores (10-13). DISCUSSION This is the first, validated, prediction score for 2-year clinical outcome of patients with possible VCI.
Collapse
Affiliation(s)
- Jooske M.F. Boomsma
- Department of Neurology and NeurosurgeryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
- Department of NeurologyOLVG WestAmsterdamthe Netherlands
| | - Lieza G. Exalto
- Department of Neurology and NeurosurgeryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear MedicineVrije Universiteit AmsterdamAmsterdamthe Netherlands
- Institute of NeurologyUCLLondonUK
- Institute of Healthcare EngineeringUCLLondonUK
| | - Christopher L.H. Chen
- Department of PharmacologyNational University of SingaporeSingapore
- Memory Aging and Cognition CenterNational University Health SystemSingapore
| | - Saima Hilal
- Department of PharmacologyNational University of SingaporeSingapore
- Memory Aging and Cognition CenterNational University Health SystemSingapore
| | - Anna E. Leeuwis
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Niels D. Prins
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Francis N. Saridin
- Department of PharmacologyNational University of SingaporeSingapore
- Memory Aging and Cognition CenterNational University Health SystemSingapore
| | - Philip Scheltens
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry LaboratoryDepartment of Clinical ChemistryAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Jurre H. Verwer
- Department of Neurology and NeurosurgeryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | | | - Wiesje M. van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam NeuroscienceVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
- Department of EpidemiologyVrije Universiteit AmsterdamAmsterdam UMCAmsterdamthe Netherlands
| | - Geert Jan Biessels
- Department of Neurology and NeurosurgeryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| | - the TRACE‐VCI study group
- Department of Neurology and NeurosurgeryUMC Utrecht Brain CenterUniversity Medical Center UtrechtUtrecht UniversiteitUtrechtthe Netherlands
| |
Collapse
|
84
|
Teitsdottir UD, Jonsdottir MK, Lund SH, Darreh-Shori T, Snaedal J, Petersen PH. Association of glial and neuronal degeneration markers with Alzheimer's disease cerebrospinal fluid profile and cognitive functions. ALZHEIMERS RESEARCH & THERAPY 2020; 12:92. [PMID: 32753068 PMCID: PMC7404927 DOI: 10.1186/s13195-020-00657-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 07/21/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Neuroinflammation has gained increasing attention as a potential contributing factor in the onset and progression of Alzheimer's disease (AD). The objective of this study was to examine the association of selected cerebrospinal fluid (CSF) inflammatory and neuronal degeneration markers with signature CSF AD profile and cognitive functions among subjects at the symptomatic pre- and early dementia stages. METHODS In this cross-sectional study, 52 subjects were selected from an Icelandic memory clinic cohort. Subjects were classified as having AD (n = 28, age = 70, 39% female, Mini-Mental State Examination [MMSE] = 27) or non-AD (n = 24, age = 67, 33% female, MMSE = 28) profile based on the ratio between CSF total-tau (T-tau) and amyloid-β1-42 (Aβ42) values (cut-off point chosen as 0.52). Novel CSF biomarkers included neurofilament light (NFL), YKL-40, S100 calcium-binding protein B (S100B) and glial fibrillary acidic protein (GFAP), measured with enzyme-linked immunosorbent assays (ELISAs). Subjects underwent neuropsychological assessment for evaluation of different cognitive domains, including verbal episodic memory, non-verbal episodic memory, language, processing speed, and executive functions. RESULTS Accuracy coefficient for distinguishing between the two CSF profiles was calculated for each CSF marker and test. Novel CSF markers performed poorly (area under curve [AUC] coefficients ranging from 0.61 to 0.64) compared to tests reflecting verbal episodic memory, which all performed fair (AUC > 70). LASSO regression with a stability approach was applied for the selection of CSF markers and demographic variables predicting performance on each cognitive domain, both among all subjects and only those with a CSF AD profile. Relationships between CSF markers and cognitive domains, where the CSF marker reached stability selection criteria of > 75%, were visualized with scatter plots. Before calculations of corresponding Pearson's correlations coefficients, composite scores for cognitive domains were adjusted for age and education. GFAP correlated with executive functions (r = - 0.37, p = 0.01) overall, while GFAP correlated with processing speed (r = - 0.68, p < 0.001) and NFL with verbal episodic memory (r = - 0.43, p = 0.02) among subjects with a CSF AD profile. CONCLUSIONS The novel CSF markers NFL and GFAP show potential as markers for cognitive decline among individuals with core AD pathology at the symptomatic pre- and early stages of dementia.
Collapse
Affiliation(s)
- Unnur D Teitsdottir
- Faculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland.
| | - Maria K Jonsdottir
- Department of Psychology, Reykjavik University, Reykjavik, Iceland.,Department of Psychiatry, Landspitali - National University Hospital, Reykjavik, Iceland
| | | | - Taher Darreh-Shori
- Division of Clinical Geriatrics, Center for Alzheimer Research, NVS Department, Karolinska Institutet, Huddinge, Sweden
| | - Jon Snaedal
- Memory clinic, Department of Geriatric Medicine, Landspitali - National University Hospital, Reykjavik, Iceland
| | - Petur H Petersen
- Faculty of Medicine, Department of Anatomy, Biomedical Center, University of Iceland, Reykjavik, Iceland
| |
Collapse
|
85
|
Brain regions vulnerable and resistant to aging without Alzheimer's disease. PLoS One 2020; 15:e0234255. [PMID: 32726311 PMCID: PMC7390259 DOI: 10.1371/journal.pone.0234255] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/21/2020] [Indexed: 11/19/2022] Open
Abstract
'Normal aging' in the brain refers to age-related changes that occur independent of disease, in particular Alzheimer's disease. A major barrier to mapping normal brain aging has been the difficulty in excluding the earliest preclinical stages of Alzheimer's disease. Here, before addressing this issue we first imaged a mouse model and learn that the best MRI measure of dendritic spine loss, a known pathophysiological driver of normal aging, is one that relies on the combined use of functional and structural MRI. In the primary study, we then deployed the combined functional-structural MRI measure to investigate over 100 cognitively-normal people from 20-72 years of age. Next, to cover the tail end of aging, in secondary analyses we investigated structural MRI acquired from cognitively-normal people, 60-84 years of age, who were Alzheimer's-free via biomarkers. Collectively, the results from the primary functional-structural study, and the secondary structural studies revealed that the dentate gyrus is a hippocampal region differentially affected by aging, and that the entorhinal cortex is a region most resistant to aging. Across the cortex, the primary functional-structural study revealed and that the inferior frontal gyrus is differentially affected by aging, however, the secondary structural studies implicated other frontal cortex regions. Together, the results clarify how normal aging may affect the brain and has possible mechanistic and therapeutic implications.
Collapse
|
86
|
van der Zande JJ, Gouw AA, van Steenoven I, van de Beek M, Scheltens P, Stam CJ, Lemstra AW. Diagnostic and prognostic value of EEG in prodromal dementia with Lewy bodies. Neurology 2020; 95:e662-e670. [PMID: 32636325 DOI: 10.1212/wnl.0000000000009977] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 01/27/2020] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVE Early biomarkers for dementia with Lewy bodies (DLB) are lacking. To determine whether EEG differentiates the prodromal phase of DLB from other causes of mild cognitive impairment (MCI) and whether EEG is predictive for time to conversion from MCI to DLB, we compared EEGs and clinical follow-up of patients with MCI due to DLB with those of patients with MCI due to Alzheimer disease (MCI-AD). METHODS We compared 37 patients with MCI who developed DLB during follow-up or had an abnormal 123I-PF-CIT SPECT scan (MCI-DLB) with 67 age-matched patients with MCI-AD. EEGs were assessed visually with a score of increasing abnormality (range 1-5). We performed fast Fourier transform to analyze the power spectrum. With survival analyses, EEG characteristics were related to time to progression to dementia. RESULTS The visual EEG score was higher in MCI-DLB (score >2 in 60%) compared to MCI-AD (score >2 in 8%, p < 0.001). We found frontal intermittent delta activity in 22% of MCI-DLB, not in MCI-AD. Patients with MCI-DLB had a lower peak frequency (7.5 [6.0-9.9] Hz vs 8.8 [6.8-10.2] in MCI-AD, p < 0.001) and more slow-wave activity. Several individual EEG measures showed good performance to discriminate MCI-DLB from MCI-AD (areas under the curve up to 0.94). In MCI-DLB, high visual EEG score, diffuse abnormalities, and low α2 power were related to time to progression to dementia (hazard ratios 4.1, 9.9, 5.1, respectively). CONCLUSIONS Profound EEG abnormalities are already present in the prodromal stage of DLB and have diagnostic and prognostic value. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that EEG abnormalities are more common in MCI-DLB than MCI-AD.
Collapse
Affiliation(s)
- Jessica Joanne van der Zande
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands.
| | - Alida A Gouw
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Inger van Steenoven
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Marleen van de Beek
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Philip Scheltens
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Cornelis Jan Stam
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| | - Afina Willemina Lemstra
- From the Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience (J.J.v.d.Z., A.A.G., I.v.S., M.v.d.B., P.S., A.W.L.), and Department of Clinical Neurophysiology (A.A.G., C.J.S.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands
| |
Collapse
|
87
|
Groeneveld ON, Moneti C, Heinen R, de Bresser J, Kuijf HJ, Exalto LG, Boomsma JMF, Kappelle LJ, Barkhof F, Prins ND, Scheltens P, van der Flier WM, Biessels GJ. The Clinical Phenotype of Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus. J Alzheimers Dis 2020; 68:311-322. [PMID: 30775988 DOI: 10.3233/jad-180914] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) increases the risk of vascular cognitive impairment (VCI). It is unknown which type of vascular lesions and co-morbid etiologies, in particular Alzheimer's disease pathology, are associated with T2DM in patients with VCI, and how this relates to cognition and prognosis. OBJECTIVE To compare brain MRI and cerebrospinal fluid (CSF) markers, cognition, and prognosis in patients with possible VCI with and without T2DM. METHODS We included 851 memory clinic patients with vascular brain injury on MRI (i.e., possible VCI) from a prospective cohort study (T2DM: n = 147, 68.4±7.9 years, 63% men; no T2DM: n = 704, 67.6±8.5 years, 52% men). At baseline, we assessed between-group differences in brain MRI abnormalities, CSF markers of Alzheimer's disease, and cognitive profile. After two years follow-up, we compared occurrence of cognitive decline, stroke, and death. RESULTS The distribution of clinical diagnoses did not differ between patients with and without T2DM. T2DM patients had more pronounced brain atrophy (total and white matter volume), and more lacunar infarcts, whereas microbleeds were less common (all p < 0.05). CSF amyloid-β levels were similar between the groups. T2DM patients performed worse on working memory (effect size: - 0.17, p = 0.03) than those without, whereas performance on other domains was similar. During follow-up, risk of further cognitive decline was not increased in T2DM.∥Conclusion: In patients with possible VCI, presence of T2DM is related to more pronounced brain atrophy and a higher burden of lacunar infarcts, but T2DM does not have a major impact on cognitive profile or prognosis.∥.
Collapse
Affiliation(s)
- Onno N Groeneveld
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Costanza Moneti
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Rutger Heinen
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jeroen de Bresser
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht,the Netherlands.,Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Lieza G Exalto
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jooske M F Boomsma
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Neurology, Onze Lieve Vrouwe Gasthuis (OLVG) West, Amsterdam, Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Institutes of Neurology & Healthcare Engineering, University College London (UCL), London, United Kingdom
| | - Niels D Prins
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolph Magnus, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
88
|
Wang BZ, Zailan FZ, Wong BYX, Ng KP, Kandiah N. Identification of novel candidate autoantibodies in Alzheimer's disease. Eur J Neurol 2020; 27:2292-2296. [PMID: 32356904 DOI: 10.1111/ene.14290] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 04/23/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND PURPOSE Accumulated failures in Alzheimer's disease (AD) clinical trials have highlighted an urgent need to identify additional biomarkers involved in AD. Recently, mounting evidence reported that autoantibodies are ubiquitous in human sera. However, it is unknown whether autoantibodies are upregulated in amyloid-tau biomarker-confirmed AD. METHODS A total of 40 subjects with mild dementia (Clinical Dementia Rating = 1) were stratified into AD (n = 16) and non-AD (n = 24) groups according to their cerebrospinal fluid levels of tau and Aβ42 . Their sera were collected and analyzed using a microarray containing > 1600 potential human autoantigens. Autoantibodies that were present exclusively in the AD group were identified and selected using the penetrance-based fold change method with the following criteria: penetrance fold change(AD) ≥ 2, frequency(AD) ≥ 15% and frequency(non-AD) = 0%. RESULTS All controls and samples passed the quality control criteria and were further used for biomarker analysis. Six autoantibodies with elevated responses to the following autoantigens were found exclusively in the AD group: nucleosome assembly protein 1-like 3 (31.3%, 5/16 subjects) and microtubule-associated protein 4, pantothenic acid kinase 3, phosphoinositide-3-kinase regulatory subunit 1, protein tyrosine phosphatase type IVA member 1 and SRY (sex-determining region Y)-box 15 (all 18.8%, 3/16 subjects). CONCLUSIONS Although some identified autoantigens are linked to AD and cognitive dysfunction, the increased autoantibody levels have not been reported in AD. Autoantibodies may provide deeper insights into the pathogenesis of AD and serve as diagnostic biomarkers; their corresponding antigens can be further studied to assess their potential as therapeutic targets.
Collapse
Affiliation(s)
- B Z Wang
- Department of Neurology, National Neuroscience Institute, Singapore
| | - F Z Zailan
- Department of Neurology, National Neuroscience Institute, Singapore
| | - B Y X Wong
- Department of Neurology, National Neuroscience Institute, Singapore
| | - K P Ng
- Department of Neurology, National Neuroscience Institute, Singapore
| | - N Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore.,Duke-NUS Graduate Medical School, Singapore.,NTU-Imperial Lee Kong Chian School of Medicine, Singapore, Singapore
| |
Collapse
|
89
|
Wolters EE, Ossenkoppele R, Verfaillie SCJ, Coomans EM, Timmers T, Visser D, Tuncel H, Golla SSV, Windhorst AD, Boellaard R, van der Flier WM, Teunissen CE, Scheltens P, van Berckel BNM. Regional [ 18F]flortaucipir PET is more closely associated with disease severity than CSF p-tau in Alzheimer's disease. Eur J Nucl Med Mol Imaging 2020; 47:2866-2878. [PMID: 32291510 PMCID: PMC7567681 DOI: 10.1007/s00259-020-04758-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/04/2020] [Indexed: 12/15/2022]
Abstract
Purpose In vivo Alzheimer’s disease (AD) biomarkers for tau pathology are cerebrospinal fluid (CSF) phosphorylated tau (p-tau) and [18F]flortaucipir positron emission tomography (PET). Our aim was to assess associations between CSF p-tau with [18F]flortaucipir PET and the associations of both tau biomarkers with cognition and atrophy. Methods We included 78 amyloid positive cognitively impaired patients (clinical diagnoses mild cognitive impairment (MCI, n = 8) and AD dementia (n = 45) and 25 cognitively normal subjects with subjective cognitive decline (SCD) (40% amyloid-positive)). Dynamic 130 min [18F]flortaucipir PET scans were acquired to generate binding potential (BPND) images using receptor parametric mapping and standardized uptake values ratios of 80–100 min (SUVr80-100min) post injection. We obtained regional BPND and SUVr from entorhinal, limbic, and neocortical regions-of-interest (ROIs), closely aligning to the neuropathological tau staging schemes. Cognition was assessed using MMSE and composite scores of four cognitive domains, and atrophy was measured using gray matter volume covering the major brain lobes. First, we used linear regressions to investigate associations between CSF p-tau (independent variable) and tau PET (dependent variable). Second, we used linear regressions to investigate associations between CSF p-tau, tau PET (separate independent variables, model 1), and cognition (dependent variable). We then assessed the independent effects of CSF p-tau and tau PET on cognition by simultaneously adding the other tau biomarker as a predictor (model 2). Finally, we performed the same procedure for model 1 and 2, but replaced cognition with atrophy. Models were adjusted for age, sex, time lag between assessments, education (cognition only), and total intracranial volume (atrophy only). Results Higher [18F]flortaucipir BPND was associated with higher CSF p-tau (range of standardized betas (sβ) across ROIs, 0.43–0.46; all p < 0.01). [18F]flortaucipir BPND was more strongly associated with cognition and atrophy than CSF p-tau. When [18F]flortaucipir BPND and CSF p-tau were entered simultaneously, [18F]flortaucipir BPND (range sβ = − 0.20 to – 0.57, all p < 0.05) was strongly associated with multiple cognitive domains and atrophy regions. SUVr showed comparable results to BPND. Conclusion Regional [18F]flortaucipir BPND correlated stronger with cognition and neurodegeneration than CSF p-tau, suggesting that tau PET more accurately reflects disease severity in AD. Electronic supplementary material The online version of this article (10.1007/s00259-020-04758-2) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Emma E Wolters
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Sander C J Verfaillie
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Emma M Coomans
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Tessa Timmers
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Denise Visser
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hayel Tuncel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sandeep S V Golla
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Albert D Windhorst
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
90
|
Kynurenic Acid Levels are Increased in the CSF of Alzheimer's Disease Patients. Biomolecules 2020; 10:biom10040571. [PMID: 32276479 PMCID: PMC7226436 DOI: 10.3390/biom10040571] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/28/2022] Open
Abstract
Kynurenic acid (KYNA) is a product of the tryptophan (TRP) metabolism via the kynurenine pathway (KP). This pathway is activated in neurodegenerative disorders, such as Alzheimer´s disease (AD). KYNA is primarily produced by astrocytes and is considered neuroprotective. Thus, altered KYNA levels may suggest an inflammatory response. Very recently, significant increases in KYNA levels were reported in cerebrospinal fluid (CSF) from AD patients compared with normal controls. In this study, we assessed the accuracy of KYNA in CSF for the classification of patients with AD, cognitively healthy controls, and patients with a variety of other neurodegenerative diseases, including frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS), and progressive supranuclear palsy (PSP). Averaged KYNA concentration in CSF was higher in patients with AD when compared with healthy subjects and with all the other differentially diagnosed groups. There were no significant differences in KYNA levels in CSF between any other neurodegenerative groups and controls. These results suggest a specific increase in KYNA concentration in CSF from AD patients not seen in other neurodegenerative diseases.
Collapse
|
91
|
van de Beek M, van Steenoven I, van der Zande JJ, Barkhof F, Teunissen CE, van der Flier WM, Lemstra AW. Prodromal Dementia With Lewy Bodies: Clinical Characterization and Predictors of Progression. Mov Disord 2020; 35:859-867. [PMID: 32048343 PMCID: PMC7317511 DOI: 10.1002/mds.27997] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/22/2020] [Accepted: 01/27/2020] [Indexed: 01/06/2023] Open
Abstract
Objective The objective of this study was to examine clinical characteristics, cognitive decline, and predictors for time to dementia in prodromal dementia with Lewy bodies with mild cognitive impairment (MCI‐LB) compared with prodromal Alzheimer's disease (MCI‐AD). Methods We included 73 MCI‐LB patients (12% female; 68 ± 6 years; Mini Mental State Examination, 27 ± 2) and 124 MCI‐AD patients (48% female; 68 ± 7 years; Mini Mental State Examination, 27 ± 2) from the Amsterdam Dementia Cohort. Follow‐up was available for 61 MCI‐LB patients and all MCI‐AD patients (3 ± 2 years). We evaluated dementia with Lewy bodies core features, neuropsychiatric symptoms, caregiver burden (Zarit caregiver burden interview), MRI, apolipoprotein genotype, and cerebrospinal fluid biomarkers (tau/Aβ1–42 ratio). Longitudinal outcome measures included cognitive slopes (memory, attention, executive functions, and language and visuospatial functions) and time to dementia. Results Parkinsonism was the most frequently present core feature in MCI‐LB (69%). MCI‐LB patients more often had neuropsychiatric symptoms and scored higher on ZARIT when compared with the MCI‐AD patients. Linear mixed models showed that at baseline, MCI‐LB patients performed worse on nonmemory cognitive domains, whereas memory performance was worse in MCI‐AD patients. Over time, MCI‐LB patients declined faster on attention, whereas MCI‐AD patients declined faster on the Mini Mental State Examination and memory. Cox proportional hazards regressions showed that in the MCI‐LB patients, lower attention (hazard ratio [HR] = 1.6; 95% confidence interval [CI], 1.1–2.3) and more posterior cortical atrophy (HR = 3.0; 95% CI, 1.5–5.8) predicted shorter time to dementia. In the MCI‐AD patients, worse performance on memory (HR = 1.1; 95% CI, 1.0–1.2) and executive functions (HR = 1.3; 95% CI, 1.0–1.6) were independently associated with time to Alzheimer's dementia. Conclusion MCI‐LB patients have distinct neuropsychiatric and cognitive profiles with prominent decline in attention when compared with MCI‐AD patients. Our results highlight the importance of early diagnosis because symptoms already have an impact in the prodromal stages. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Marleen van de Beek
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Inger van Steenoven
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Jessica J van der Zande
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England, United Kingdom
| | - Charlotte E Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Afina W Lemstra
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| |
Collapse
|
92
|
Liguori C, Placidi F, Izzi F, Spanetta M, Mercuri NB, Di Pucchio A. Sleep dysregulation, memory impairment, and CSF biomarkers during different levels of neurocognitive functioning in Alzheimer's disease course. ALZHEIMERS RESEARCH & THERAPY 2020; 12:5. [PMID: 31901236 PMCID: PMC6942389 DOI: 10.1186/s13195-019-0571-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 12/23/2019] [Indexed: 12/18/2022]
Abstract
Background Alzheimer's disease (AD) is frequently accompanied by sleep impairment, which can induce AD-related neurodegeneration. We herein investigated the sleep architecture, cognition, and cerebrospinal fluid (CSF) biomarkers (tau proteins and β-amyloid42) during AD progression from subjective cognitive impairment (SCI) to mild cognitive impairment (MCI) and eventually to AD dementia, and compared the results with cognitively normal (CN) subjects. Methods We included patients affected by SCI, MCI, mild AD, and moderate-to-severe AD in our study along with CN subjects as controls. All the subjects underwent nocturnal polysomnography to investigate sleep, neuropsychological testing to evaluate cognition, and lumbar puncture for CSF AD biomarkers assessment. Results Sleep (both rapid eye movement (REM) and non-REM sleep) and memory function are both progressively impaired during the course of AD from SCI to mild and subsequently to moderate AD. Further, sleep dysregulation appears earlier than cognitive deterioration, with a reduction of CSF β-amyloid42 level. Conclusion Sleep, memory, and CSF AD biomarkers are closely interrelated in AD progression from the earliest asymptomatic and preclinical stages of the disease related in AD since the earliest and preclinical stages of the disease.
Collapse
Affiliation(s)
- Claudio Liguori
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy. .,Neurology Unit, Department of Systems Medicine, University of Rome 'Tor Vergata", Viale Oxford, 81 00133, Rome, Italy.
| | - Fabio Placidi
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Francesca Izzi
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Matteo Spanetta
- Sleep Medicine Centre, Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
| | - Nicola Biagio Mercuri
- Neurology Unit, Department of Systems Medicine, University of Rome 'Tor Vergata", Viale Oxford, 81 00133, Rome, Italy.,Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Alessandra Di Pucchio
- Training Office, Italian National Institute of Health (Istituto Superiore di Sanità), Rome, Italy
| |
Collapse
|
93
|
Ziegler GC, Haarmann A, Daniels C, Herr A. The Difficult Diagnosis of Posterior Cortical Atrophy in a 62-Year-Old Woman. J Geriatr Psychiatry Neurol 2020; 33:59-64. [PMID: 31203704 PMCID: PMC6900588 DOI: 10.1177/0891988719856696] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Posterior cortical atrophy (PCA) describes a rare heterogenous neurodegenerative syndrome with early visuospatial and visuoperceptual deficits due to atrophy of parieto-occipital brain regions. Here, we describe the case of a 62-year-old woman showing severe cognitive impairments as well as hemianopsia and all core symptoms of Bálint's syndrome. Years ago, the patient had complained about a "tunnel view" and concentration problems. The diagnostic results point to a case of PCA with underlying Alzheimer pathology. The disease course until diagnosis lasted for 7 years, reflecting the diagnostic difficulties with this still largely unknown syndrome. The unfamiliar symptom presentation including fluctuations in cognitive performance, affective symptoms, cerebrospinal fluid (CSF) biomarkers, which were at first inconspicuous, and a former suspected diagnosis of dissociative pseudodementia, altogether brought considerable uncertainty to the involved health-care professionals. We conclude that cases of "atypical dementia" presenting with visual symptoms, even if appearing unspecific at first, are suspect of PCA. This case report provides an ostensive overview of PCA, including imaging data, CSF-findings, original drawings and handwriting samples from the patient.
Collapse
Affiliation(s)
- Georg C. Ziegler
- Neurogerontopsychiatric Day Care Unit, Department of Psychiatry,
Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg,
Würzburg, Germany,Georg C. Ziegler, Department of Psychiatry,
Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of
Würzburg, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.
| | - Axel Haarmann
- Department of Neurology, University Hospital of Würzburg, Würzburg,
Germany
| | - Christine Daniels
- Department of Neurology, University Hospital of Würzburg, Würzburg,
Germany
| | - Alexandra Herr
- Neurogerontopsychiatric Day Care Unit, Department of Psychiatry,
Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg,
Würzburg, Germany
| |
Collapse
|
94
|
Marizzoni M, Ferrari C, Babiloni C, Albani D, Barkhof F, Cavaliere L, Didic M, Forloni G, Fusco F, Galluzzi S, Hensch T, Jovicich J, Marra C, Molinuevo JL, Nobili F, Parnetti L, Payoux P, Ranjeva JP, Ribaldi F, Rolandi E, Rossini PM, Salvatore M, Soricelli A, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Bordet R, Blin O, Frisoni GB. CSF cutoffs for MCI due to AD depend on APOEε4 carrier status. Neurobiol Aging 2019; 89:55-62. [PMID: 32029236 DOI: 10.1016/j.neurobiolaging.2019.12.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 12/20/2019] [Accepted: 12/21/2019] [Indexed: 12/14/2022]
Abstract
Amyloid and tau pathological accumulation should be considered for Alzheimer's disease (AD) definition and before subjects' enrollment in disease-modifying trials. Although age, APOEε4, and sex influence cerebrospinal fluid (CSF) biomarker levels, none of these variables are considered by current normality/abnormality cutoffs. Using baseline CSF data from 2 independent cohorts (PharmaCOG/European Alzheimer's Disease Neuroimaging Initiative and Alzheimer's Disease Neuroimaging Initiative), we investigated the effect of age, APOEε4 status, and sex on CSF Aβ42/P-tau distribution and cutoff extraction by applying mixture models with covariates. The Aβ42/P-tau distribution revealed the presence of 3 subgroups (AD-like, intermediate, control-like) and 2 cutoffs. The identification of the intermediate subgroup and of the higher cutoff was APOEε4 dependent in both cohorts. APOE-specific classification (higher cutoff for APOEε4+, lower cutoff for APOEε4-) showed higher diagnostic accuracy in identifying MCI due to AD compared to single Aβ42 and Aβ42/P-tau cutoffs. APOEε4 influences amyloid and tau CSF markers and AD progression in MCI patients supporting i) the use of APOE-specific cutoffs to identify MCI due to AD and ii) the utility of considering APOE genotype for early AD diagnosis.
Collapse
Affiliation(s)
- Moira Marizzoni
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele Cassino (FR), Cassino, Italy
| | - Diego Albani
- Neuroscience Department, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VUmc, Amsterdam, the Netherlands; Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Libera Cavaliere
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Mira Didic
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France; APHM, Timone, Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
| | - Gianluigi Forloni
- Neuroscience Department, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy
| | - Federica Fusco
- Neuroscience Department, IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy
| | - Samantha Galluzzi
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig, Leipzig, Germany
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Camillo Marra
- Department of Gerontology, Neurosciences & Orthopedics, Catholic University, Rome, Italy
| | - José Luis Molinuevo
- Alzheimer's Disease Unit and Other Cognitive Disorders Unit, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Catalunya, Spain
| | - Flavio Nobili
- Dept. of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy; Clinica Neurologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucilla Parnetti
- Clinica Neurologica, Università di Perugia, Ospedale Santa Maria della Misericordia, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Jean-Philippe Ranjeva
- Aix-Marseille Université, INSERM, Marseille, France; Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France
| | - Federica Ribaldi
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Elena Rolandi
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Marco Salvatore
- SDN Istituto di Ricerca Diagnostica e Nucleare, Napoli, Italy
| | | | - Magda Tsolaki
- 1st University Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Makedonia, Greece
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, the Netherlands
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, LVR-Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany; Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August-University, Goettingen, Germany; Medical Sciences Department, iBiMED, University of Aveiro, Aveiro, Portugal
| | | | - Régis Bordet
- University of Lille, Inserm, CHU, Lille, France; U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Olivier Blin
- Aix Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, APHM, Marseille, France
| | - Giovanni B Frisoni
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| |
Collapse
|
95
|
den Haan J, van de Kreeke JA, Konijnenberg E, ten Kate M, den Braber A, Barkhof F, van Berckel BN, Teunissen CE, Scheltens P, Visser PJ, Verbraak FD, Bouwman FH. Retinal thickness as a potential biomarker in patients with amyloid-proven early- and late-onset Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:463-471. [PMID: 31249859 PMCID: PMC6584766 DOI: 10.1016/j.dadm.2019.05.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Introduction Retinal thickness measured with optical coherence tomography has been proposed as a noninvasive biomarker for Alzheimer's disease (AD). We therefore measured retinal thickness in well-characterized AD and control participants, considering ophthalmological confounders. Methods We included 57 amyloid-proven AD cases and 85 cognitively normal, amyloid-negative controls. All subjects underwent retinal thickness measurements with spectral domain optical coherence tomography and an ophthalmological assessment to exclude ocular disease. Results Retinal thickness did not discriminate cases from controls, including stratified analyses for early- versus late-onset AD. We found significant associations between macular thickness and global cortical atrophy [β -0.358; P = .01] and parietal cortical atrophy on magnetic resonance imaging [β -0.371; P < .01] in AD cases. Discussion In this study, representing the largest optical coherence tomography cohort with amyloid-proven AD cases, we show that retinal thickness does not discriminate AD from controls, despite evident changes on clinical, neuroimaging, and CSF measures, querying the use of retinal thickness measurements as an AD biomarker.
Collapse
Affiliation(s)
- Jurre den Haan
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jacoba A. van de Kreeke
- Department of Ophthalmology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elles Konijnenberg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, London, UK
| | - Bart N. van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Charlotte E. Teunissen
- Department of Clinical Chemistry, Neurochemistry Lab and Biobank, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center, School for Mental Health and Neuroscience (MHeNS), University Medical Centre, Maastricht, the Netherlands
| | - Frank D. Verbraak
- Department of Ophthalmology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Femke H. Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| |
Collapse
|
96
|
Babapour Mofrad R, Visser LNC, Fruijtier AD, Scheltens P, Smets E(EMA, van der Flier WM, Teunissen CE. Cerebrospinal fluid collection: An informative animation video for patients and caregivers. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:435-438. [PMID: 31211216 PMCID: PMC6562320 DOI: 10.1016/j.dadm.2019.04.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Daily clinical practice has shown that patients are often hesitant to undergo a lumbar puncture (LP) because of unfamiliarity with the awaiting procedure and/or unrealistic ideas concerning post-LP complications. In light of increased number of LPs in diagnostic and research settings, our institute has developed an educational video for patients and caregivers in which we inform them about and prepare them for the LP procedure. This video was based on the latest literature and was developed with the help of communication experts, medical doctors, and two separate patient panels.
Collapse
Affiliation(s)
- R. Babapour Mofrad
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Leonie Nicoline Cornelia Visser
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam Public Health, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Agnetha Diantha Fruijtier
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam Public Health, University of Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Wiesje Maria van der Flier
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam UMC, Amsterdam, the Netherlands
| | - Charlotte Elisabeth Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| |
Collapse
|
97
|
den Haan J, van de Kreeke JA, van Berckel BN, Barkhof F, Teunissen CE, Scheltens P, Verbraak FD, Bouwman FH. Is retinal vasculature a biomarker in amyloid proven Alzheimer's disease? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2019; 11:383-391. [PMID: 31193094 PMCID: PMC6517376 DOI: 10.1016/j.dadm.2019.03.006] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Introduction The retina is a potential source of noninvasive vascular biomarkers for Alzheimer's disease (AD). We assessed retinal microvasculature in well-characterized AD cases, taking ophthalmological confounders into account. Methods We included 48 amyloid-positive AD patients and 38 amyloid-negative cognitively normal control subjects. All participants underwent ophthalmological screening to exclude interfering ocular disease. Using a multimodal approach, we measured retinal vascular parameters, choroidal thickness, macular vascular density, and foveal avascular zone size. Results We found no disease effects on retinal vascular measures (all β's < |0.15|, all P > .2), adjusted for confounders. Venular tortuosity was inversely associated with Fazekas score in control subjects (β -0.56, P < .01), while vessel density in the outer ring of the macula was inversely associated with Fazekas score in AD cases (β -0.64, P < .01). Discussion In conclusion, retinal vasculature did not discriminate patients with AD from control subjects, despite evident changes on clinical, neuroimaging, and cerebrospinal fluid biomarkers, challenging the use of retinal vasculature measurements as AD biomarker.
Collapse
Affiliation(s)
- Jurre den Haan
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jacoba A. van de Kreeke
- Department of Ophthalmology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N. van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- UCL institutes of Neurology and Healthcare Engineering, London, UK
| | - Charlotte E. Teunissen
- Neurochemistry Lab and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frank D. Verbraak
- Department of Ophthalmology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Femke H. Bouwman
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| |
Collapse
|
98
|
Eikelboom WS, van Rooij JGJ, van den Berg E, Coesmans M, Jiskoot LC, Singleton E, Ossenkoppele R, van Swieten JC, Seelaar H, Papma JM. Neuropsychiatric Symptoms Complicating the Diagnosis of Alzheimer's Disease: A Case Report. J Alzheimers Dis 2019; 66:1363-1369. [PMID: 30412494 DOI: 10.3233/jad-180700] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Neuropsychiatric symptoms (NPS) are increasingly recognized as a core element of Alzheimer's disease (AD); however, clinicians still consider AD primarily as a cognitive disorder. We describe a case in which the underrecognition of NPS as part of AD resulted in substantial delay of an AD diagnosis, a wrong psychiatric diagnosis, and the organization of inappropriate care. The aim of this paper is to acknowledge NPS as an (early) manifestation of AD and to suggest features that may point toward underlying AD in older adults with late-life behavioral changes.
Collapse
Affiliation(s)
- Willem S Eikelboom
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Jeroen G J van Rooij
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Esther van den Berg
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Michiel Coesmans
- Department of Psychiatry, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Ellen Singleton
- Department of Neurology, VUmc Alzheimer Center, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Department of Neurology, VUmc Alzheimer Center, Amsterdam, the Netherlands.,Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - John C van Swieten
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Janne M Papma
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
99
|
Lombardi G, Polito C, Berti V, Bagnoli S, Nacmias B, Pupi A, Sorbi S. Contribution of Bilingualism to Cognitive Reserve of an Italian Literature Professor at High Risk for Alzheimer's Disease. J Alzheimers Dis 2019; 66:1389-1395. [PMID: 30475769 DOI: 10.3233/jad-180736] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Bilingualism is an independent component of cognitive reserve that permits to delay dementia onset up to 5 years. We describe a case of a bilingual Italian man affected by mild cognitive impairment with high cognitive reserve that, despite the presence of multiple risk factors (ApoE ɛ4/ɛ4 genotype, older age, untreated Obstructive Sleep Apnea Syndrome, AD-like biomarker alterations) did not convert to Alzheimer's disease up to 5 years follow-up. The present case confirms the role of bilingualism as a strong protective factor for dementia, even in the occurrence of multiple risk factors.
Collapse
Affiliation(s)
- Gemma Lombardi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Cristina Polito
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Alberto Pupi
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Nuclear Medicine Unit, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| |
Collapse
|
100
|
Microparticles are related to cognitive and functional status from normal aging to dementia. J Neuroimmunol 2019; 336:577027. [DOI: 10.1016/j.jneuroim.2019.577027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 08/15/2019] [Accepted: 08/20/2019] [Indexed: 01/03/2023]
|