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Gómez-Tortosa E, Agüero-Rabes P, Ruiz-González A, Wagner-Reguero S, Téllez R, Mahillo I, Ruiz-Calvo A, Sainz MJ, Nystrom AL, del Ser T, Sánchez-Juan P. Plasma Biomarkers in the Distinction of Alzheimer's Disease and Frontotemporal Dementia. Int J Mol Sci 2025; 26:1231. [PMID: 39940998 PMCID: PMC11818795 DOI: 10.3390/ijms26031231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 01/20/2025] [Accepted: 01/21/2025] [Indexed: 02/16/2025] Open
Abstract
Plasma biomarkers are promising tools for the screening and diagnosis of dementia in clinical settings. We analyzed plasma levels of Alzheimer's core biomarkers, neurofilament light chain (NfL) and glial fibrillary acid protein (GFAP), through single-molecule Array in 108 patients with Alzheimer's (AD, cerebrospinal fluid with an amyloid+ tau+ neurodegeneration+ profile), 73 patients with frontotemporal dementia (FTD, 24 with genetic diagnosis), and 54 controls. The best area under the curve (AUC) was used to assess the discriminative power. Patients with AD had lower Aß42/40 ratios and NfL levels, along with higher levels of p-tau181 and GFAP, compared with FTD patients. Single biomarkers discriminated well between dementia patients and controls: the Aß42/40 ratio (AUC:0.86) or GFAP (AUC:0.83) was found for AD, and the NfL (AUC:0.84) was found for FTD patients. However, a combination of two (NfL with p-tau181, or the GFAP/NfL ratio, AUCs ~0.87) or three biomarkers (NfL, P-tau181, and Aß42/40 ratio, AUC: 0.90) was required to distinguish between AD and FTD. Biomarker profiles were similar across different FTD phenotypes, except for carriers of PGRN mutations, who had higher levels of NfL than C9orf72 expansion carriers. In our series, NfL alone provided the best distinction between FTD and controls, while a combination of two or three biomarkers was required to obtain good discrimination between AD and FTD.
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Affiliation(s)
- Estrella Gómez-Tortosa
- Department of Neurology, Fundación Jiménez Díaz, 28040 Madrid, Spain; (P.A.-R.); (M.J.S.); (A.L.N.)
- Instituto de Investigación Sanitaria, Fundación Jiménez Díaz (IIS-FJD), 28040 Madrid, Spain
| | - Pablo Agüero-Rabes
- Department of Neurology, Fundación Jiménez Díaz, 28040 Madrid, Spain; (P.A.-R.); (M.J.S.); (A.L.N.)
| | - Alicia Ruiz-González
- Alzheimer’s Centre Reina Sofía-CIEN Foundation, Instituto de Salud Carlos III, 28031 Madrid, Spain; (A.R.-G.); (S.W.-R.); andre (A.R.-C.); (T.d.S.); (P.S.-J.)
| | - Sonia Wagner-Reguero
- Alzheimer’s Centre Reina Sofía-CIEN Foundation, Instituto de Salud Carlos III, 28031 Madrid, Spain; (A.R.-G.); (S.W.-R.); andre (A.R.-C.); (T.d.S.); (P.S.-J.)
| | - Raquel Téllez
- Department of Immunology, Fundación Jiménez Díaz, 28040 Madrid, Spain;
| | - Ignacio Mahillo
- Department of Biostatistics and Epidemiology, Fundación Jiménez Díaz, 28040 Madrid, Spain;
| | - Andrea Ruiz-Calvo
- Alzheimer’s Centre Reina Sofía-CIEN Foundation, Instituto de Salud Carlos III, 28031 Madrid, Spain; (A.R.-G.); (S.W.-R.); andre (A.R.-C.); (T.d.S.); (P.S.-J.)
| | - María José Sainz
- Department of Neurology, Fundación Jiménez Díaz, 28040 Madrid, Spain; (P.A.-R.); (M.J.S.); (A.L.N.)
| | - Anna Lena Nystrom
- Department of Neurology, Fundación Jiménez Díaz, 28040 Madrid, Spain; (P.A.-R.); (M.J.S.); (A.L.N.)
| | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofía-CIEN Foundation, Instituto de Salud Carlos III, 28031 Madrid, Spain; (A.R.-G.); (S.W.-R.); andre (A.R.-C.); (T.d.S.); (P.S.-J.)
| | - Pascual Sánchez-Juan
- Alzheimer’s Centre Reina Sofía-CIEN Foundation, Instituto de Salud Carlos III, 28031 Madrid, Spain; (A.R.-G.); (S.W.-R.); andre (A.R.-C.); (T.d.S.); (P.S.-J.)
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Liampas I, Kyriakoulopoulou P, Karakoida V, Kavvoura PA, Sgantzos M, Bogdanos DP, Stamati P, Dardiotis E, Siokas V. Blood-Based Biomarkers in Frontotemporal Dementia: A Narrative Review. Int J Mol Sci 2024; 25:11838. [PMID: 39519389 PMCID: PMC11546606 DOI: 10.3390/ijms252111838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2024] [Revised: 10/20/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024] Open
Abstract
This narrative review explores the current landscape of blood biomarkers in Frontotemporal dementia (FTD). Neurofilament light chain (NfL) may be useful in the differentiation of behavioral variant FTD from primary psychiatric disorders (PPDs) or dementia with Lewy bodies (DLB). In prodromal FTD and presymptomatic mutation carriers (GRN, MAPT, C9orf72), elevated NfL may herald pheno-conversion to full-blown dementia. Baseline NfL correlates with steeper neuroanatomical changes and cognitive, behavioral and functional decline, making NfL promising in monitoring disease progression. Phosphorylated neurofilament heavy chain (pNfH) levels have a potential limited role in the demarcation of the conversion stage to full-blown FTD. Combined NfL and pNfH measurements may allow a wider stage stratification. Total tau levels lack applicability in the framework of FTD. p-tau, on the other hand, is of potential value in the discrimination of FTD from Alzheimer's dementia. Progranulin concentrations could serve the identification of GRN mutation carriers. Glial fibrillary acidic protein (GFAP) may assist in the differentiation of PPDs from behavioral variant FTD and the detection of GRN mutation carriers (additional research is warranted). Finally, TAR DNA-binding protein-43 (TDP-43) appears to be a promising diagnostic biomarker for FTD. Its potential in distinguishing TDP-43 pathology from other FTD-related pathologies requires further research.
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Affiliation(s)
- Ioannis Liampas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (P.S.); (E.D.); (V.S.)
| | | | - Vasiliki Karakoida
- School of Medicine, University of Patras, 26504 Rio Patras, Greece; (P.K.); (V.K.); (P.A.K.)
| | | | - Markos Sgantzos
- Department of Anatomy, Medical School, University of Thessaly, 41100 Larissa, Greece;
| | - Dimitrios P. Bogdanos
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41100 Larissa, Greece;
| | - Polyxeni Stamati
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (P.S.); (E.D.); (V.S.)
| | - Efthimios Dardiotis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (P.S.); (E.D.); (V.S.)
| | - Vasileios Siokas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, 41100 Larissa, Greece; (P.S.); (E.D.); (V.S.)
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Eratne D, Kang MJY, Lewis C, Dang C, Malpas CB, Keem M, Grewal J, Marinov V, Coe A, Kaylor‐Hughes C, Borchard T, Keng‐Hong C, Waxmann A, Saglam B, Kalincik T, Kanaan R, Kelso W, Evans A, Farrand S, Loi S, Walterfang M, Stehmann C, Li Q, Collins S, Masters CL, Santillo AF, Zetterberg H, Blennow K, Berkovic SF, Velakoulis D. Plasma and CSF neurofilament light chain distinguish neurodegenerative from primary psychiatric conditions in a clinical setting. Alzheimers Dement 2024; 20:7989-8001. [PMID: 39369278 PMCID: PMC11567869 DOI: 10.1002/alz.14278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 08/29/2024] [Accepted: 08/31/2024] [Indexed: 10/07/2024]
Abstract
INTRODUCTION People with neurodegenerative disorders (ND) frequently face diagnostic delay and misdiagnosis. We investigated blood and cerebrospinal fluid (CSF) neurofilament light chain (NfL) to distinguish ND from primary psychiatric disorders (PPD), a common challenge in clinical settings. METHODS Plasma and CSF NfL levels were measured and compared between groups, adjusting for age, sex, and weight. RESULTS A total of 337 participants were included: 136 ND, 77 PPD, and 124 Controls. Plasma NfL was 2.5-fold elevated in ND compared to PPD and had strong diagnostic performance (area under the curve, [AUC]: 0.86, 81%/85% specificity/sensitivity) that was comparable to CSF NfL (2-fold elevated, AUC: 0.89, 95%/71% specificity/sensitivity). Diagnostic performance was especially strong in younger people (40- < 60 years). Additional findings were cutoffs optimized for sensitivity and specificity, and issues important for future clinical translation. CONCLUSIONS This study adds important evidence for a simple blood-based biomarker to assist as a screening test for neurodegeneration and distinction from PPD, in clinical settings. HIGHLIGHTS NfL levels were significantly higher in ND versus PPD. Plasma NfL showed strong diagnostic performance, comparable to CSF NfL, to distinguish ND from PPD. Diagnostic performance was higher in younger people, where diagnostic challenges are greater. Further research is needed on analytical and reference range factors, for clinical translation. These findings support a simple screening blood test for neurodegeneration.
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Götze K, Vrillon A, Dumurgier J, Indart S, Sanchez-Ortiz M, Slimi H, Raynaud-Simon A, Cognat E, Martinet M, Zetterberg H, Blennow K, Hourrègue C, Bouaziz-Amar E, Paquet C, Lilamand M. Plasma neurofilament light chain as prognostic marker of cognitive decline in neurodegenerative diseases, a clinical setting study. Alzheimers Res Ther 2024; 16:231. [PMID: 39427171 PMCID: PMC11490051 DOI: 10.1186/s13195-024-01593-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 10/02/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND Analysis of selected research cohorts has highlighted an association between plasma neurofilament light (NfL) protein and cross-sectional cognitive impairment as well as longitudinal cognitive decline. However, the findings have yielded inconsistent results regarding its possible application in clinical practice. Despite its potential prognostic significance, the role of plasma NfL in daily clinical practice with unselected patients suffering from cognitive impairment remains largely unexplored. METHODS This retrospective, cross-sectional and longitudinal monocentric study enrolled 320 patients with Alzheimer's disease ([AD], n = 158), dementia with Lewy body ([DLB], n = 30), frontotemporal dementia ([FTD], n = 32), non-neurodegenerative diseases ([NND], n = 59) or subjective cognitive decline ([SCD], n = 41). Plasma NfL levels were measured at baseline on the Simoa platform. AD, DLB, and FTD patients were also analyzed altogether as a 'degenerative conditions' subgroup, whereas SCD and NND were grouped as a 'non-degenerative conditions' subgroup. We assessed the relationship between plasma NfL levels and cross-sectional cognitive performance, including global cognition and six specific cognitive domains. A subset of 239 patients had follow-up mini-mental state examinations (MMSE) up to 60 months. Models were adjusted on age, education level, glomerular filtration rate and body mass index. RESULTS In 320 patients, baseline plasma NfL levels were negatively associated with global cognition (β=-1.28 (-1.81 ; -0.75) P < 0.001), memory (β=-1.48 (-2.38 ; -0.59), P = 0.001), language (β=-1.72(-2.49 ; -0.95) P < 0.001), praxis (β=-2.02 (-2.91 ; -1.13) P < 0.001) and executive functions (β=-0.81, P < 0.001). Across diagnosis, plasma NfL levels were negatively associated with cross-sectional global cognition in all but the SCD subgroup, specifically with executive functions and memory in AD (respectively β=-0.71(-1.21 ; -0.211), P = 0.005 and β=-1.29 (-2.17 ; -0.42), P = 0.004), and with attention in LBD (β=-0.81(-1.16 ; -0.002), P = 0.03). Linear mixed-effects models showed that plasma NfL predicted MMSE decline in the global population (βPlasmaNfLxTime=-0.15 (-0.26 ; -0.04), P = 0.006), as in the neurodegenerative condition subgroup (βPlasmaNfLxTime=-0.21 (-0.37 ; - 0.06), P = 0.007), but not in non-neurodegenerative condition subgroup. CONCLUSION In our clinical cohort, plasma NfL was associated with faster cognitive decline in neurodegenerative dementia, which corroborates data obtained in research cohorts. Yet, plasma NfL was not predictive of accelerated cognitive decline in individuals without neurodegeneration, suggesting its use as a neurodegeneration-specific predictive biomarker.
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Affiliation(s)
- Karl Götze
- Department of Geriatrics, Bichat Hospital (GHU AP-HP.Nord, Paris), Université Paris-Cité, 75018, Paris, France.
- Inserm Unit UMR S-1144, Paris, France.
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France.
| | - Agathe Vrillon
- Inserm Unit UMR S-1144, Paris, France
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Julien Dumurgier
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Sandrine Indart
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Marta Sanchez-Ortiz
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Hela Slimi
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Agathe Raynaud-Simon
- Department of Geriatrics, Bichat Hospital (GHU AP-HP.Nord, Paris), Université Paris-Cité, 75018, Paris, France
| | - Emmanuel Cognat
- Inserm Unit UMR S-1144, Paris, France
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, S-431 80, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 80, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, WC1N 3BG, London, UK
- UK Dementia Research Institute at UCL, WC1N 3BG, London, UK
- Hong Kong Center for Neurodegenerative Diseases, 1501-1502, 1512-1518, Units, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, 53792, Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Physiology and Neuroscience, University of Gothenburg, S-431 80, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, S-431 80, Mölndal, Sweden
- Pitié-Salpêtrière Hospital, Paris Brain Institute, ICM, Sorbonne University, 75013, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Claire Hourrègue
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Elodie Bouaziz-Amar
- Inserm Unit UMR S-1144, Paris, France
- Biochemistry Department, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 75010, Paris, France
| | - Claire Paquet
- Inserm Unit UMR S-1144, Paris, France
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
| | - Matthieu Lilamand
- Inserm Unit UMR S-1144, Paris, France
- Cognitive Neurology Center, Lariboisière Hospital (GHU AP-HP.Nord, Paris), 200 rue du Faubourg Saint-Denis, 75010, Paris, France
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Bavato F, Barro C, Schnider LK, Simrén J, Zetterberg H, Seifritz E, Quednow BB. Introducing neurofilament light chain measure in psychiatry: current evidence, opportunities, and pitfalls. Mol Psychiatry 2024; 29:2543-2559. [PMID: 38503931 PMCID: PMC11412913 DOI: 10.1038/s41380-024-02524-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/29/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024]
Abstract
The recent introduction of new-generation immunoassay methods allows the reliable quantification of structural brain markers in peripheral matrices. Neurofilament light chain (NfL), a neuron-specific cytoskeletal component released in extracellular matrices after neuroaxonal impairment, is considered a promising blood marker of active brain pathology. Given its sensitivity to a wide range of neuropathological alterations, NfL has been suggested for the use in clinical practice as a highly sensitive, but unspecific tool to quantify active brain pathology. While large efforts have been put in characterizing its clinical profile in many neurological conditions, NfL has received far less attention as a potential biomarker in major psychiatric disorders. Therefore, we briefly introduce NfL as a marker of neuroaxonal injury, systematically review recent findings on cerebrospinal fluid and blood NfL levels in patients with primary psychiatric conditions and highlight the opportunities and pitfalls. Current evidence suggests an elevation of blood NfL levels in patients with major depression, bipolar disorder, psychotic disorders, anorexia nervosa, and substance use disorders compared to physiological states. However, blood NfL levels strongly vary across diagnostic entities, clinical stage, and patient subgroups, and are influenced by several demographic, clinical, and analytical factors, which require accurate characterization. Potential clinical applications of NfL measure in psychiatry are seen in diagnostic and prognostic algorithms, to exclude neurodegenerative disease, in the assessment of brain toxicity for different pharmacological compounds, and in the longitudinal monitoring of treatment response. The high inter-individual variability of NfL levels and the lack of neurobiological understanding of its release are some of the main current limitations. Overall, this primer aims to introduce researchers and clinicians to NfL measure in the psychiatric field and to provide a conceptual framework for future research directions.
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Affiliation(s)
- Francesco Bavato
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Christian Barro
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura K Schnider
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and 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, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
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Vrillon A, Bousiges O, Götze K, Demuynck C, Muller C, Ravier A, Schorr B, Philippi N, Hourregue C, Cognat E, Dumurgier J, Lilamand M, Cretin B, Blanc F, Paquet C. Plasma biomarkers of amyloid, tau, axonal, and neuroinflammation pathologies in dementia with Lewy bodies. Alzheimers Res Ther 2024; 16:146. [PMID: 38961441 PMCID: PMC11221164 DOI: 10.1186/s13195-024-01502-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/12/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Increasing evidence supports the use of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation for diagnosis of dementia. However, their performance for positive and differential diagnosis of dementia with Lewy bodies (DLB) in clinical settings is still uncertain. METHODS We conducted a retrospective biomarker study in two tertiary memory centers, Paris Lariboisière and CM2RR Strasbourg, France, enrolling patients with DLB (n = 104), Alzheimer's disease (AD, n = 76), and neurological controls (NC, n = 27). Measured biomarkers included plasma Aβ40/Aβ42 ratio, p-tau181, NfL, and GFAP using SIMOA and plasma YKL-40 and sTREM2 using ELISA. DLB patients with available CSF analysis (n = 90) were stratified according to their CSF Aβ profile. RESULTS DLB patients displayed modified plasma Aβ ratio, p-tau181, and GFAP levels compared with NC and modified plasma Aβ ratio, p-tau181, GFAP, NfL, and sTREM2 levels compared with AD patients. Plasma p-tau181 best differentiated DLB from AD patients (ROC analysis, area under the curve [AUC] = 0.80) and NC (AUC = 0.78), and combining biomarkers did not improve diagnosis performance. Plasma p-tau181 was the best standalone biomarker to differentiate amyloid-positive from amyloid-negative DLB cases (AUC = 0.75) and was associated with cognitive status in the DLB group. Combining plasma Aβ ratio, p-tau181 and NfL increased performance to identify amyloid copathology (AUC = 0.79). Principal component analysis identified different segregation patterns of biomarkers in the DLB and AD groups. CONCLUSIONS Amyloid, tau, neurodegeneration and neuroinflammation plasma biomarkers are modified in DLB, albeit with moderate diagnosis performance. Plasma p-tau181 can contribute to identify Aβ copathology in DLB.
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Affiliation(s)
- Agathe Vrillon
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France.
- Université Paris Cité, INSERM, UMRS 1144, Paris, France.
- University of California San Francisco, San Francisco, USA.
| | - Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, Strasbourg, France
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
| | - Karl Götze
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
| | - Catherine Demuynck
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Candice Muller
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Alix Ravier
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Benoît Schorr
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Nathalie Philippi
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Claire Hourregue
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Emmanuel Cognat
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
| | - Julien Dumurgier
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Matthieu Lilamand
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Benjamin Cretin
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Frédéric Blanc
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Claire Paquet
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
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Sanchez E, Wilkinson T, Coughlan G, Mirza S, Baril A, Ramirez J, Binns MA, Black SE, Borrie M, Dilliott AA, Dixon RA, Dowlatshahi D, Farhan S, Finger E, Fischer CE, Frank A, Freedman M, Goncalves RA, Grimes DA, Hassan A, Hegele RA, Kumar S, Lang AE, Marras C, McLaughlin PM, Orange JB, Pasternak SH, Pollock BG, Rajji TK, Roberts AC, Robinson JF, Rogaeva E, Sahlas DJ, Saposnik G, Strong MJ, Swartz RH, Tang‐Wai DF, Tartaglia MC, Troyer AK, Kvartsberg H, Zetterberg H, Munoz DP, Masellis M. Association of plasma biomarkers with cognition, cognitive decline, and daily function across and within neurodegenerative diseases: Results from the Ontario Neurodegenerative Disease Research Initiative. Alzheimers Dement 2024; 20:1753-1770. [PMID: 38105605 PMCID: PMC10984487 DOI: 10.1002/alz.13560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/02/2023] [Accepted: 10/29/2023] [Indexed: 12/19/2023]
Abstract
INTRODUCTION We investigated whether novel plasma biomarkers are associated with cognition, cognitive decline, and functional independence in activities of daily living across and within neurodegenerative diseases. METHODS Glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), phosphorylated tau (p-tau)181 and amyloid beta (Aβ)42/40 were measured using ultra-sensitive Simoa immunoassays in 44 healthy controls and 480 participants diagnosed with Alzheimer's disease/mild cognitive impairment (AD/MCI), Parkinson's disease (PD), frontotemporal dementia (FTD) spectrum disorders, or cerebrovascular disease (CVD). RESULTS GFAP, NfL, and/or p-tau181 were elevated among all diseases compared to controls, and were broadly associated with worse baseline cognitive performance, greater cognitive decline, and/or lower functional independence. While GFAP, NfL, and p-tau181 were highly predictive across diseases, p-tau181 was more specific to the AD/MCI cohort. Sparse associations were found in the FTD and CVD cohorts and for Aβ42/40 . DISCUSSION GFAP, NfL, and p-tau181 are valuable predictors of cognition and function across common neurodegenerative diseases, and may be useful in specialized clinics and clinical trials.
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Vrillon A, Ashton NJ, Karikari TK, Götze K, Cognat E, Dumurgier J, Lilamand M, Zetterberg H, Blennow K, Paquet C. Comparison of CSF and plasma NfL and pNfH for Alzheimer's disease diagnosis: a memory clinic study. J Neurol 2024; 271:1297-1310. [PMID: 37950758 DOI: 10.1007/s00415-023-12066-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 11/13/2023]
Abstract
Plasma neurofilament light chain (NfL) is a promising biomarker of axonal damage for the diagnosis of neurodegenerative diseases. Phosphorylated neurofilament heavy chain (pNfH) has demonstrated its value in motor neuron diseases diagnosis, but has less been explored for dementia diagnosis. In a cross-sectional study, we compared cerebrospinal fluid (CSF) and plasma NfL and pNfH levels in n = 188 patients from Lariboisière Hospital, Paris, France, including AD patients at mild cognitive impairment stage (AD-MCI, n = 36) and dementia stage (n = 64), non-AD MCI (n = 38), non-AD dementia (n = 28) patients and control subjects (n = 22). Plasma NfL, plasma and CSF pNfH levels were measured using Simoa and CSF NfL using ELISA. The correlation between CSF and plasma levels was stronger for NfL than pNfH (rho = 0.77 and rho = 0.52, respectively). All neurofilament markers were increased in AD-MCI, AD dementia and non-AD dementia groups compared with controls. CSF NfL, CSF pNfH and plasma NfL showed high performance to discriminate AD at both MCI and dementia stages from control subjects [AUC (area under the curve) = 0.82-0.91]. Plasma pNfH displayed overall lower AUCs for discrimination between groups compared with CSF pNfH. Neurofilament markers showed similar moderate association with cognition. NfL levels displayed significant association with mediotemporal lobe atrophy and white matter lesions in the AD group. Our results suggest that CSF NfL and pNfH as well as plasma NfL levels display equivalent performance in both positive and differential AD diagnosis in memory clinic settings. In contrast to motoneuron disorders, plasma pNfH did not demonstrate added value as compared with plasma NfL.
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Affiliation(s)
- Agathe Vrillon
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France.
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France.
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Karl Götze
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Julien Dumurgier
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Matthieu Lilamand
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claire Paquet
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
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Bhalala OG, Watson R, Yassi N. Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer's Disease. Int J Mol Sci 2024; 25:1231. [PMID: 38279230 PMCID: PMC10816901 DOI: 10.3390/ijms25021231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024] Open
Abstract
Late-onset Alzheimer's disease is the leading cause of dementia worldwide, accounting for a growing burden of morbidity and mortality. Diagnosing Alzheimer's disease before symptoms are established is clinically challenging, but would provide therapeutic windows for disease-modifying interventions. Blood biomarkers, including genetics, proteins and metabolites, are emerging as powerful predictors of Alzheimer's disease at various timepoints within the disease course, including at the preclinical stage. In this review, we discuss recent advances in such blood biomarkers for determining disease risk. We highlight how leveraging polygenic risk scores, based on genome-wide association studies, can help stratify individuals along their risk profile. We summarize studies analyzing protein biomarkers, as well as report on recent proteomic- and metabolomic-based prediction models. Finally, we discuss how a combination of multi-omic blood biomarkers can potentially be used in memory clinics for diagnosis and to assess the dynamic risk an individual has for developing Alzheimer's disease dementia.
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Affiliation(s)
- Oneil G. Bhalala
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia; (R.W.); (N.Y.)
- Department of Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville 3050, Australia
| | - Rosie Watson
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia; (R.W.); (N.Y.)
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3050, Australia
| | - Nawaf Yassi
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville 3052, Australia; (R.W.); (N.Y.)
- Department of Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville 3050, Australia
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville 3050, Australia
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10
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Mazzeo S, Ingannato A, Giacomucci G, Manganelli A, Moschini V, Balestrini J, Cavaliere A, Morinelli C, Galdo G, Emiliani F, Piazzesi D, Crucitti C, Frigerio D, Polito C, Berti V, Bagnoli S, Padiglioni S, Sorbi S, Nacmias B, Bessi V. Plasma neurofilament light chain predicts Alzheimer's disease in patients with subjective cognitive decline and mild cognitive impairment: A cross-sectional and longitudinal study. Eur J Neurol 2024; 31:e16089. [PMID: 37797300 PMCID: PMC11235835 DOI: 10.1111/ene.16089] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND AND PURPOSE We aimed to evaluate the accuracy of plasma neurofilament light chain (NfL) in predicting Alzheimer's disease (AD) and the progression of cognitive decline in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). METHODS This longitudinal cohort study involved 140 patients (45 with SCD, 73 with MCI, and 22 with AD dementia [AD-D]) who underwent plasma NfL and AD biomarker assessments (cerebrospinal fluid, amyloid positron emission tomography [PET], and 18 F-fluorodeoxyglucose-PET) at baseline. The patients were rated according to the amyloid/tau/neurodegeneration (A/T/N) system and followed up for a mean time of 2.72 ± 0.95 years to detect progression from SCD to MCI and from MCI to AD. Forty-eight patients (19 SCD, 29 MCI) also underwent plasma NfL measurements 2 years after baseline. RESULTS At baseline, plasma NfL detected patients with biomarker profiles consistent with AD (A+/T+/N+ or A+/T+/N-) with high accuracy (area under the curve [AUC] 0.82). We identified cut-off values of 19.45 pg/mL for SCD and 20.45 pg/mL for MCI. During follow-up, nine SCD patients progressed to MCI (progressive SCD [p-SCD]), and 14 MCI patients developed AD dementia (progressive MCI [p-MCI]). The previously identified cut-off values provided good accuracy in identifying p-SCD (80% [95% confidence interval 65.69: 94.31]). The rate of NfL change was higher in p-MCI (3.52 ± 4.06 pg/mL) compared to non-progressive SCD (0.81 ± 1.25 pg/mL) and non-progressive MCI (-0.13 ± 3.24 pg/mL) patients. A rate of change lower than 1.64 pg/mL per year accurately excluded progression from MCI to AD (AUC 0.954). CONCLUSION Plasma NfL concentration and change over time may be a reliable, non-invasive tool to detect AD and the progression of cognitive decline at the earliest stages of the disease.
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Affiliation(s)
- Salvatore Mazzeo
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Giulia Giacomucci
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Alberto Manganelli
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Valentina Moschini
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
| | - Juri Balestrini
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Arianna Cavaliere
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Carmen Morinelli
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
| | - Giulia Galdo
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Filippo Emiliani
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Diletta Piazzesi
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
| | - Chiara Crucitti
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Daniele Frigerio
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | | | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio"University of FlorenceFlorenceItaly
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
| | - Sonia Padiglioni
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
- Regional Referral Centre for Relational Criticalities – 50139Tuscany RegionItaly
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
- IRCCS Fondazione Don Carlo GnocchiFlorenceItaly
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
- IRCCS Fondazione Don Carlo GnocchiFlorenceItaly
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
- Research and Innovation Centre for Dementia‐CRIDEMAzienda Ospedaliero‐Universitaria CareggiFlorenceItaly
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11
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Cressot C, Vrillon A, Lilamand M, Francisque H, Méauzoone A, Hourregue C, Dumurgier J, Marlinge E, Paquet C, Cognat E. Psychosis in Neurodegenerative Dementias: A Systematic Comparative Review. J Alzheimers Dis 2024; 99:85-99. [PMID: 38669539 DOI: 10.3233/jad-231363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2024]
Abstract
Background Psychosis, characterized by delusions and/or hallucinations, is frequently observed during the progression of Alzheimer's disease (AD) and other neurodegenerative dementias (ND) (i.e., dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD)) and cause diagnostic and management difficulties. Objective This review aims at presenting a concise and up-to-date overview of psychotic symptoms that occur in patients with ND with a comparative approach. Methods A systematic review was conducted following the PRISMA guidelines. 98 original studies investigating psychosis phenotypes in neurodegenerative dementias were identified (40 cohort studies, 57 case reports). Results Psychosis is a frequently observed phenomenon during the course of ND, with reported prevalence ranging from 22.5% to 54.1% in AD, 55.9% to 73.9% in DLB, and 18% to 42% in FTD. Throughout all stages of these diseases, noticeable patterns emerge depending on their underlying causes. Misidentification delusions (16.6-78.3%) and visual hallucinations (50-69.6%) are frequently observed in DLB, while paranoid ideas and somatic preoccupations seem to be particularly common in AD and FTD, (respectively 9.1-60.3% and 3.10-41.5%). Limited data were found regarding psychosis in the early stages of these disorders. Conclusions Literature data suggest that different ND are associated with noticeable variations in psychotic phenotypes, reflecting disease-specific tendencies. Further studies focusing on the early stages of these disorders are necessary to enhance our understanding of early psychotic manifestations associated with ND and help in differential diagnosis issues.
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Affiliation(s)
- Coralie Cressot
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Agathe Vrillon
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Matthieu Lilamand
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Service de Gériatrie, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Hélène Francisque
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Aurélie Méauzoone
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Claire Hourregue
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Julien Dumurgier
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Université Paris Cité, Inserm U1153, Paris, France
| | - Emeline Marlinge
- Département de Psychiatrie, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Claire Paquet
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Emmanuel Cognat
- Université Paris Cité, UMRS 1144, INSERM, Paris, France
- Centre de Neurologie Cognitive, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
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12
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Malek-Ahmadi M, Su Y, Ghisays V, Luo J, Devadas V, Chen Y, Lee W, Protas H, Chen K, Zetterberg H, Blennow K, Caselli RJ, Reiman EM. Plasma NfL is associated with the APOE ε4 allele, brain imaging measurements of neurodegeneration, and lower recall memory scores in cognitively unimpaired late-middle-aged and older adults. Alzheimers Res Ther 2023; 15:74. [PMID: 37038190 PMCID: PMC10084600 DOI: 10.1186/s13195-023-01221-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 03/28/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Plasma neurofilament light (NfL) is an indicator of neurodegeneration and/or neuroaxonal injury in persons with Alzheimer's disease (AD) and a wide range of other neurological disorders. Here, we characterized and compared plasma NfL concentrations in cognitively unimpaired (CU) late-middle-aged and older adults with two, one, or no copies of the APOE ε4 allele, the major genetic risk factor for AD. We then assessed plasma NfL associations with brain imaging measurements of AD-related neurodegeneration (hippocampal atrophy and a hypometabolic convergence index [HCI]), brain imaging measurements of amyloid-β plaque burden, tau tangle burden and white matter hyperintensity volume (WMHV), and delayed and total recall memory scores. METHODS Plasma NfL concentrations were measured in 543 CU 69 ± 9 year-old participants in the Arizona APOE Cohort Study, including 66 APOE ε4 homozygotes (HM), 165 heterozygotes (HT), and 312 non-carriers (NC). Robust regression models were used to characterize plasma NfL associations with APOE ε4 allelic dose before and after adjustment for age, sex, and education. They were also used to characterize plasma NfL associations with MRI-based hippocampal volume and WMHV measurements, an FDG PET-based HCI, mean cortical PiB PET measurements of amyloid-β plaque burden and meta-region-of-interest (meta-ROI) flortaucipir PET measurements of tau tangle burden, and Auditory Verbal Learning Test (AVLT) Delayed and Total Recall Memory scores. RESULTS After the adjustments noted above, plasma NfL levels were significantly greater in APOE ε4 homozygotes and heterozygotes than non-carriers and significantly associated with smaller hippocampal volumes (r = - 0.43), greater tangle burden in the entorhinal cortex and inferior temporal lobes (r = 0.49, r = 0.52, respectively), and lower delayed (r = - 0.27), and total (r = - 0.27) recall memory scores (p < 0.001). NfL levels were not significantly associated with PET measurements of amyloid-β plaque or total tangle burden. CONCLUSIONS Plasma NfL concentrations are associated with the APOE ε4 allele, brain imaging biomarkers of neurodegeneration, and less good recall memory in CU late-middle-aged and older adults, supporting its value as an indicator of neurodegeneration in the preclinical study of AD.
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Affiliation(s)
| | - Yi Su
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Valentina Ghisays
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Ji Luo
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Vivek Devadas
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Yinghua Chen
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Wendy Lee
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Hillary Protas
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Kewei Chen
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Eric M Reiman
- Banner Alzheimer's Institute, 901 E. Willetta St., Phoenix, AZ, 85006, USA
- Translation Genomics Research Institute, Phoenix, AZ, USA
- University of Arizona, Phoenix, AZ, USA
- Arizona State University, Tempe, AZ, USA
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