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Wang Z, Lewis V, Stehmann C, Varghese S, Senesi M, McGlade A, Ellett LJ, Doecke JD, Eratne D, Velakoulis D, Masters CL, Collins SJ, Li Q. Alzheimer's disease biomarker utilization at first referral enhances differential diagnostic precision with simultaneous exclusion of Creutzfeldt-Jakob disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12548. [PMID: 38352040 PMCID: PMC10862167 DOI: 10.1002/dad2.12548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/19/2023] [Indexed: 02/16/2024]
Abstract
Most suspected Creutzfeldt-Jakob disease (CJD) cases are eventually diagnosed with other disorders. We assessed the utility of investigating Alzheimer's disease (AD) biomarkers and neurofilament light (NfL) in patients when CJD is suspected. The study cohort consisted of cerebrospinal fluid (CSF) samples referred for CJD biomarker screening wherein amyloid beta 1-42 (Aβ1-42), phosphorylated tau 181 (p-tau181), and total tau (t-tau) could be assessed via Elecsys immunoassays (n = 419) and NfL via enzyme-linked immunosorbent assay (ELISA; n = 161). In the non-CJD sub cohort (n = 371), 59% (219/371) had A+T- (abnormal Aβ1-42 only) and 21% (79/371) returned A+T+ (abnormal Aβ1-42 and p-tau181). In the 48 CJD subjects, a similar AD biomarker profile distribution was observed. To partially address the prevalence of likely pre-symptomatic AD, NfL was utilized to assess for neuronal damage. NfL was abnormal in 76% (25/33) of A+T- subjects 40 to 69 years of age, 80% (20/25) of whom had normal t-tau. This study reinforces AD as an important differential diagnosis of suspected CJD, highlighting that incorporating AD biomarkers and NfL at initial testing is worthwhile.
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Affiliation(s)
- Zitianyu Wang
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Victoria Lewis
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Christiane Stehmann
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Shiji Varghese
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Matteo Senesi
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Amelia McGlade
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Laura J. Ellett
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | | | - Dhamidhu Eratne
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Neuropsychiatry, John Cade BuildingRoyal Melbourne HospitalParkvilleAustralia
| | - Dennis Velakoulis
- Neuropsychiatry, John Cade BuildingRoyal Melbourne HospitalParkvilleAustralia
| | - Colin L. Masters
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
| | - Steven J. Collins
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Australian National Creutzfeldt‐Jakob Disease Registry (ANCJDR), The Florey InstituteThe University of MelbourneParkvilleAustralia
- Department of Medicine, Clinical Sciences Building, Royal Melbourne Hospital (RMH)The University of MelbourneParkvilleAustralia
| | - Qiao‐Xin Li
- National Dementia Diagnostics Laboratory (NDDL), The Florey InstituteThe University of MelbourneParkvilleAustralia
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Novel CSF Biomarkers Tracking Autoimmune Inflammatory and Neurodegenerative Aspects of CNS Diseases. Diagnostics (Basel) 2022; 13:diagnostics13010073. [PMID: 36611365 PMCID: PMC9818715 DOI: 10.3390/diagnostics13010073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
The accurate diagnosis of neuroinflammatory (NIDs) and neurodegenerative (NDDs) diseases and the stratification of patients into disease subgroups with distinct disease-related characteristics that reflect the underlying pathology represents an unmet clinical need that is of particular interest in the era of emerging disease-modifying therapies (DMT). Proper patient selection for clinical trials and identifying those in the prodromal stages of the diseases or those at high risk will pave the way for precision medicine approaches and halt neuroinflammation and/or neurodegeneration in early stages where this is possible. Towards this direction, novel cerebrospinal fluid (CSF) biomarker candidates were developed to reflect the diseased organ's pathology better. Μisfolded protein accumulation, microglial activation, synaptic dysfunction, and finally, neuronal death are some of the pathophysiological aspects captured by these biomarkers to support proper diagnosis and screening. We also describe advances in the field of molecular biomarkers, including miRNAs and extracellular nucleic acids known as cell-free DNA and mitochondrial DNA molecules. Here we review the most important of these novel CSF biomarkers of NIDs and NDDs, focusing on their involvement in disease development and emphasizing their ability to define homogeneous disease phenotypes and track potential treatment outcomes that can be mirrored in the CSF compartment.
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Delaby C, Bousiges O, Bouvier D, Fillée C, Fourier A, Mondésert E, Nezry N, Omar S, Quadrio I, Rucheton B, Schraen-Maschke S, van Pesch V, Vicca S, Lehmann S, Bedel A. Neurofilaments contribution in clinic: state of the art. Front Aging Neurosci 2022; 14:1034684. [PMID: 36389064 PMCID: PMC9664201 DOI: 10.3389/fnagi.2022.1034684] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 10/10/2022] [Indexed: 07/26/2023] Open
Abstract
Neurological biomarkers are particularly valuable to clinicians as they can be used for diagnosis, prognosis, or response to treatment. This field of neurology has evolved considerably in recent years with the improvement of analytical methods, allowing the detection of biomarkers not only in cerebrospinal fluid (CSF) but also in less invasive fluids like blood. These advances greatly facilitate the repeated quantification of biomarkers, including at asymptomatic stages of the disease. Among the various informative biomarkers of neurological disorders, neurofilaments (NfL) have proven to be of particular interest in many contexts, such as neurodegenerative diseases, traumatic brain injury, multiple sclerosis, stroke, and cancer. Here we discuss these different pathologies and the potential value of NfL assay in the management of these patients, both for diagnosis and prognosis. We also describe the added value of NfL compared to other biomarkers currently used to monitor the diseases described in this review.
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Affiliation(s)
- Constance Delaby
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivier Bousiges
- Laboratoire de biochimie et biologie moléculaire (LBBM)—Pôle de biologie Hôpital de Hautepierre—CHU de Strasbourg, CNRS, laboratoire ICube UMR 7357 et FMTS (Fédération de Médecine Translationnelle de Strasbourg), équipe IMIS, Strasbourg, France
| | - Damien Bouvier
- Service de Biochimie et Génétique Moléculaire, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - Catherine Fillée
- Cliniques universitaires Saint-Luc UCLouvain, Service de Biochimie Médicale, Brussels, Belgium
| | - Anthony Fourier
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Etienne Mondésert
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Nicolas Nezry
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Souheil Omar
- Laboratoire de biologie médicale de l’Institut de Neurologie de Tunis, Tunis, Tunisia
| | - Isabelle Quadrio
- Biochimie et Biologie Moléculaire—LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France
| | - Benoit Rucheton
- Laboratoire de Biologie, Institut Bergonié, Bordeaux, France
| | - Susanna Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Vincent van Pesch
- Cliniques universitaires Saint-Luc UCLouvain, Service de Neurologie, Brussels, Belgium
| | - Stéphanie Vicca
- Hôpital Necker-Enfants malades, Paris, Laboratoire de Biochimie générale, DMU BioPhyGen, AP-HP.Centre—Université de Paris, Paris, France
| | - Sylvain Lehmann
- Université de Montpellier, IRMB, INM, INSERM, CHU de Montpellier, Laboratoire Biochimie-Protéomique clinique, Montpellier, France
| | - Aurelie Bedel
- Service de Biochimie, CHU Pellegrin, Bordeaux, France
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Abstract
PURPOSE OF REVIEW This article presents a practical approach to the evaluation of patients with rapidly progressive dementia. RECENT FINDINGS The approach presented in this article builds upon the standard dementia evaluation, leveraging widely available tests and emergent specific markers of disease to narrow the differential diagnosis and determine the cause(s) of rapid progressive decline. The discovery of treatment-responsive causes of rapidly progressive dementia underscores the need to determine the cause early in the symptomatic course when treatments are most likely to halt or reverse cognitive decline. SUMMARY A pragmatic and organized approach to patients with rapidly progressive dementia is essential to mitigate diagnostic and therapeutic challenges and optimize patient outcomes.
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Gomes HR. Cerebrospinal fluid analysis: current diagnostic methods in central nervous system infectious diseases. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 80:290-295. [PMID: 35976304 PMCID: PMC9491443 DOI: 10.1590/0004-282x-anp-2022-s114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Cerebrospinal fluid (CSF) analysis is an important diagnostic tool for many conditions affecting the central nervous system (CNS), especially CNS infectious diseases. Despite its low specificity, CSF white blood cell counts, CSF protein levels, CSF serum glucose ratio and CSF lactate measurement are useful in differentiating infections caused by distinct groups of pathogens. CSF direct examination and cultures can identify causative organisms and antibiotic sensitivities as well. Adjunctive tests such as latex agglutination, different immunological assays and molecular reactions have great specificities and increasing sensitivities. In this article, some recent diagnostic methods applied to CSF analysis for frequent CNS infections are presented.
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Affiliation(s)
- Hélio Rodrigues Gomes
- Universidade de São Paulo, Hospital das Clínicas, Divisão de Laboratório Clínico, Laboratório de Líquido Cefalorraquidiano, São Paulo SP, Brazil
- Universidade de São Paulo, Departamento de Neurologia, São Paulo SP, Brazil
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Altuna M, Ruiz I, Zelaya MV, Mendioroz M. Role of Biomarkers for the Diagnosis of Prion Diseases: A Narrative Review. Medicina (B Aires) 2022; 58:medicina58040473. [PMID: 35454316 PMCID: PMC9030755 DOI: 10.3390/medicina58040473] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/22/2022] [Accepted: 03/22/2022] [Indexed: 11/21/2022] Open
Abstract
Prion diseases are progressive and irreversible neurodegenerative disorders with a low incidence (1.5–2 cases per million per year). Genetic (10–15%), acquired (anecdotal) and sporadic (85%) forms of the disease have been described. The clinical spectrum of prion diseases is very varied, although the most common symptoms are rapidly progressive dementia, cerebellar ataxia and myoclonus. Mean life expectancy from the onset of symptoms is 6 months. There are currently diagnostic criteria based on clinical phenotype, as well as neuroimaging biomarkers (magnetic resonance imaging), neurophysiological tests (electroencephalogram and polysomnogram), and cerebrospinal fluid biomarkers (14-3-3 protein and real-time quaking-induced conversion (RT-QuIC)). The sensitivity and specificity of some of these tests (electroencephalogram and 14-3-3 protein) is under debate and the applicability of other tests, such as RT-QuIC, is not universal. However, the usefulness of these biomarkers beyond the most frequent prion disease, sporadic Creutzfeldt–Jakob disease, remains unclear. Therefore, research is being carried out on new, more efficient cerebrospinal fluid biomarkers (total tau, ratio total tau/phosphorylated tau and neurofilament light chain) and potential blood biomarkers (neurofilament light chain, among others) to try to universalize access to early diagnosis in the case of prion diseases.
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Affiliation(s)
- Miren Altuna
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, 08041 Barcelona, Spain;
- Centre of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), 28031 Madrid, Spain
- CITA-Alzheimer Foundation, 20009 Donostia-San Sebastián, Spain
- Correspondence: ; Tel.: +34-935-56-59-86; Fax: +34-935-56-56-02
| | - Iñigo Ruiz
- Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau—Biomedical Research Institute Sant Pau—Universitat Autònoma de Barcelona, 08041 Barcelona, Spain;
| | - María Victoria Zelaya
- Department of Pathological Anatomy, Hospital Universitario de Navarra, 31008 Pamplona, Spain;
| | - Maite Mendioroz
- Department of Neurology, Hospital Universitario de Navarra, 31008 Pamplona, Spain;
- Neuroepigenetics Laboratory-Navarrabiomed, Hospital Universitario de Navarra, Universidad Pública de Navarra (UPNA), IdiSNA (Navarra Institute for Health Research), 31006 Pamplona, Spain
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7
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CSF biomarkers for prion diseases. Neurochem Int 2022; 155:105306. [PMID: 35176437 DOI: 10.1016/j.neuint.2022.105306] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/15/2021] [Accepted: 02/13/2022] [Indexed: 11/22/2022]
Abstract
Recently, clinical trials of human prion disease (HPD) treatments have begun in many countries, and the therapeutic window of these trials focuses mainly on the early stage of the disease. Furthermore, few studies have examined the role of biomarkers at the early stage. According to the World Health Organization, the clinical diagnostic criteria for HPDs include clinical findings, cerebrospinal fluid (CSF) protein markers, and electroencephalography (EEG). In contrast, the UK and European clinical diagnostic criteria include a combination of clinical findings, 14-3-3 protein in the CSF, magnetic resonance imaging-diffusion-weighted imaging (MRI-DWI), and EEG. Moreover, recent advancements in laboratory testing and MRI-DWI have improved the accuracy of diagnostics used for prion diseases. However, according to MRI-DWI data, patients with rapidly progressing dementia are sometimes misdiagnosed with HPD due to the high-intensity areas detected in their brains. Thus, analyzing the CSF biomarkers is critical to diagnose accurately different diseases. CSF biomarkers are investigated using a biochemical approach or the protein amplification methods that utilize the unique properties of prion proteins and the ability of PrPSc to induce a conformational change. The biochemical markers include the 14-3-3 and total tau proteins of the CSF. In contrast, the protein amplification methods include the protein misfolding cyclic amplification assay and real-time quaking-induced conversion (RT-QuIC) assay. The RT-QuIC analysis of the CSF has been proved to be a highly sensitive and specific test for identifying sporadic HPD forms; for this reason, it was included in the diagnostic criteria.
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8
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Prodynorphin and Proenkephalin in Cerebrospinal Fluid of Sporadic Creutzfeldt–Jakob Disease. Int J Mol Sci 2022; 23:ijms23042051. [PMID: 35216166 PMCID: PMC8877714 DOI: 10.3390/ijms23042051] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Proenkephalin (PENK) and prodynorphin (PDYN) are endogenous opioid peptides mainly produced in the striatum and, to a lesser extent, in the cerebral cortex. Dysregulated metabolism and altered cerebrospinal fluid (CSF) levels of PENK and PDYN have been described in several neurodegenerative diseases. However, no study to date investigated these peptides in the CSF of sporadic Creutzfeldt–Jakob disease (sCJD). Using liquid chromatography-multiple reaction monitoring mass spectrometry, we evaluated the CSF PDYN- and PENK-derived peptide levels in 25 controls and 63 patients with sCJD belonging to the most prevalent molecular subtypes (MM(V)1, VV2 and MV2K). One of the PENK-derived peptides was significantly decreased in each sCJD subtype compared to the controls without a difference among subtypes. Conversely, PDYN-derived peptides were selectively decreased in the CSF of sCJD MV2K, a subtype with a more widespread overall pathology compared to the sCJD MM(V)1 and the VV2 subtypes, which we confirmed by semiquantitative analysis of cortical and striatal neuronal loss and astrocytosis. In sCJD CSF PENK and PDYN were associated with CSF biomarkers of neurodegeneration but not with clinical variables and showed a poor diagnostic performance. CSF PDYN and PENK-derived peptides had no significant diagnostic and prognostic values in sCJD; however, the distinct marker levels between molecular subtypes might help to better understand the basis of phenotypic heterogeneity determined by divergent neuronal targeting.
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Fayolle M, Lehmann S, Delaby C. Comparison of cerebrospinal fluid tau, ptau(181), synuclein, and 14-3-3 for the detection of Creutzfeldt-Jakob disease in clinical practice. J Neural Transm (Vienna) 2022; 129:133-139. [PMID: 35041062 DOI: 10.1007/s00702-021-02443-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/13/2021] [Indexed: 10/19/2022]
Abstract
Creutzfeldt-Jakob disease (CJD) is the leading human prion disease and is a major public health concern, with the risk of secondary iatrogenic transmission. Screening for CJD is often based on the detection of 14-3-3 protein in cerebrospinal fluid (CSF) through western blot assay and, in a second step, on a more specific method such as RT-QuIC (Real-Time Quaking-Induced Conversion). Alternatives to the detection of 14-3-3 in CSF have recently been proposed, specifically CSF tau proteins, tau/p-tau(181) ratio, and alpha-synuclein. In the present work, we compare the diagnostic performance of these biomarkers with that of 14-3-3 protein in a cohort of suspected CJD patients. Our results indicate that tau detection is the most effective and suitable approach for routine disease detection in a clinical setting. Combination with other biomarkers does not improve overall performance, while the tau/p-tau(181) ratio remains useful for differentiating Alzheimer's from CJD. In the end, the performance of tau protein detection in CSF reached 78% sensitivity and 80% specificity for the detection of CJD. It is interesting to note that the use of an automated method with a high concentration range allows for rapid and accurate results, which is very useful in clinical practice and allows for confirmatory testing such as RT-QuIC without delay.
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Affiliation(s)
- Martin Fayolle
- Laboratoire de Biochimie Protéomique Clinique-PPC, Hôpital St Eloi, Univ Montpellier, CHU Montpellier, INM INSERM, IRMB 80 av A Fiche, 34295, Montpellier, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie Protéomique Clinique-PPC, Hôpital St Eloi, Univ Montpellier, CHU Montpellier, INM INSERM, IRMB 80 av A Fiche, 34295, Montpellier, France.
| | - Constance Delaby
- Laboratoire de Biochimie Protéomique Clinique-PPC, Hôpital St Eloi, Univ Montpellier, CHU Montpellier, INM INSERM, IRMB 80 av A Fiche, 34295, Montpellier, France.,Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
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10
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Wieske L, Smyth D, Lunn MP, Eftimov F, Teunissen CE. Fluid Biomarkers for Monitoring Structural Changes in Polyneuropathies: Their Use in Clinical Practice and Trials. Neurotherapeutics 2021; 18:2351-2367. [PMID: 34661878 PMCID: PMC8522180 DOI: 10.1007/s13311-021-01136-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 11/25/2022] Open
Abstract
Reliable and responsive tools for monitoring disease activity and treatment outcomes in patients with neuropathies are lacking. With the emergence of ultrasensitive blood bioassays, proteins released with nerve damage are potentially useful response biomarkers for many neurological disorders, including polyneuropathies. In this review, we provide an overview of the existing literature focusing on potential applications in polyneuropathy clinical care and trials. Whilst several promising candidates have been identified, no studies have investigated if any of these proteins can serve as response biomarkers of longitudinal disease activity, except for neurofilament light (NfL). For NfL, limited evidence exists supporting a role as a response biomarker in Guillain-Barré syndrome, vasculitic neuropathy, and chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). Most evidence exists for NfL as a response biomarker in hereditary transthyretin-related amyloidosis (hATTR). At the present time, the role of NfL is therefore limited to a supporting clinical tool or exploratory endpoint in trials. Future developments will need to focus on the discovery of additional biomarkers for anatomically specific and other forms of nerve damage using high-throughput technologies and highly sensitive analytical platforms in adequality powered studies of appropriate design. For NfL, a better understanding of cut-off values, the relation to clinical symptoms and long-term disability as well as dynamics in serum on and off treatment is needed to further expand and proceed towards implementation.
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Affiliation(s)
- Luuk Wieske
- Department of Neurology and Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands
| | - Duncan Smyth
- Centre for Neuromuscular Disease, National Hospital for Neurology and Neurosurgery, London, UK
- UCL Queen Square Institute of Neurology, London, UK
| | - Michael P Lunn
- Centre for Neuromuscular Disease, National Hospital for Neurology and Neurosurgery, London, UK
- UCL Queen Square Institute of Neurology, London, UK
| | - Filip Eftimov
- Department of Neurology and Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Lab, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
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Wang YL, Chen J, Du ZL, Weng H, Zhang Y, Li R, Jia Z, Sun M, Jiang J, Wang FZ, Xu J. Plasma p-tau181 Level Predicts Neurodegeneration and Progression to Alzheimer's Dementia: A Longitudinal Study. Front Neurol 2021; 12:695696. [PMID: 34557143 PMCID: PMC8452983 DOI: 10.3389/fneur.2021.695696] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/09/2021] [Indexed: 11/30/2022] Open
Abstract
Background: Plasma-based biomarkers would be potential biomarkers for early diagnosis of Alzheimer's disease (AD) because they are more available and cost-effective than cerebrospinal fluid (CSF) or neuroimaging. Therefore, we aimed to evaluate whether phosphorylated tau181 (p-tau181) in plasma could be an accurate AD predictor. Methods: Participants from the ADNI database included 185 cognitively unimpaired subjects with negative Aβ (CU–), 66 subjects with pre-clinical AD (CU with positive Aβ), 164 subjects with mild cognitive impairment with negative Aβ (MCI–), 254 subjects with prodromal AD (MCI with positive Aβ), and 98 subjects with dementia. Multiple linear regression models, linear mixed-effects models, and local regression were used to explore cross-sectional and longitudinal associations of plasma p-tau181 with cognition, neuroimaging, or CSF biomarkers adjusted for age, sex, education, and APOE genotype. Besides, Kaplan–Meier and adjusted Cox-regression model were performed to predict the risk of progression to dementia. Receiver operating characteristic analyses were performed to evaluate the predictive value of p-tau181. Results: Plasma p-tau181 level was highest in AD dementia, followed by prodromal AD and pre-clinical AD. In pre-clinical AD, plasma p-tau181 was negatively associated with hippocampal volume (β = −0.031, p-value = 0.017). In prodromal AD, plasma p-tau181 was associated with decreased global cognition, executive function, memory, language, and visuospatial functioning (β range −0.119 to −0.273, p-value < 0.05) and correlated with hippocampal volume (β = −0.028, p-value < 0.005) and white matter hyperintensity volume (WMH) volume (β = 0.02, p-value = 0.01). In AD dementia, increased plasma p-tau181 was associated with worse memory. In the whole group, baseline plasma p-tau181 was significantly associated with longitudinal increases in multiple neuropsychological test z-scores and correlated with AD-related CSF biomarkers and hippocampal volume (p-value < 0.05). Meanwhile, CU or MCI with high plasma p-tau181 carried a higher risk of progression to dementia. The area under the curve (AUC) of the adjusted model (age, sex, education, APOE genotype, and plasma p-tau181) was 0.78; that of additionally included CSF biomarkers was 0.84. Conclusions: Plasma p-tau181 level is related to multiple AD-associated cognitive domains and AD-related CSF biomarkers at the clinical stages of AD. Moreover, plasma p-tau181 level is related to the change rates of cognitive decline and hippocampal atrophy. Thus, this study confirms the utility of plasma p-tau181 as a non-invasive biomarker for early detection and prediction of AD.
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Affiliation(s)
- Yan-Li Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinglong Chen
- Department of Geriatric Medicine, China National Clinical Key Specialty, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Zhong-Li Du
- National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, China.,Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Haoyi Weng
- Shenzhen WeGene Clinical Laboratory, Shenzhen, China.,WeGene, Shenzhen Zaozhidao Technology Co. Ltd., Shenzhen, China.,Hunan Provincial Key Lab on Bioinformatics, School of Science and Engineering, Central South University, Shenzhen, China
| | - Yuan Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Runzhi Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ziyan Jia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Mengfan Sun
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jiwei Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Fang-Ze Wang
- Department of Cardiology, Weifang People's Hospital, Weifang, China
| | - Jun Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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