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Gottiparthy A, Lam K, Kundu S, Yang Z, Tremont-Lukats I, Tummala S. Neurofilament light chain in serum of cancer patients with acute neurological complications. CNS Oncol 2024; 13:2386233. [PMID: 39136375 PMCID: PMC11323868 DOI: 10.1080/20450907.2024.2386233] [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: 12/11/2023] [Accepted: 07/19/2024] [Indexed: 08/16/2024] Open
Abstract
Aim: Neurofilament light chain (NfL) is a nonspecific sensitive biomarker of axonal damage.Methods: This case series identified cancer patients with neurological complications who had serum NfL measurements and paired these results to outcomes.Results: NfL serum levels were available in 15 patients with hematological malignancies or solid tumors. The neurological complications studied were immune effector cell-associated neurotoxicity syndrome, immune checkpoint inhibitor-related encephalopathy, anoxic brain injury, Guillain-Barre syndrome, hemophagocytic lymphohistiocytosis, transverse myelitis, paraneoplastic syndrome, central nervous system demyelinating disorder and chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids. All patients but one with serum NfL >900 pg/ml died during hospitalization.Conclusion: Serum NfL levels consistently corresponded to death, disease severity or recovery in this series.
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Affiliation(s)
- Amulya Gottiparthy
- Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, TX77030, USA
| | - Keng Lam
- Department of Neuro-Oncology, Division of Cancer Medicine, Unit 431, The University of Texas MD Anderson Cancer Center, Houston, TX77030, USA
| | - Suprateek Kundu
- Department of Biostatistics, Unit 1411, University of Texas MD Anderson Cancer Center, Houston, TX77030, USA
| | - Zixi Yang
- Department of Biostatistics, Unit 1411, University of Texas MD Anderson Cancer Center, Houston, TX77030, USA
| | - Ivo Tremont-Lukats
- Kenneth R Peak Brain & Pituitary Tumor Center, Houston Methodist Hospital, Houston, TX77030, USA
| | - Sudhakar Tummala
- Department of Neuro-Oncology, Division of Cancer Medicine, Unit 431, The University of Texas MD Anderson Cancer Center, Houston, TX77030, USA
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Sreeya Devarakonda S, Basha S, Pithakumar A, Thoshna, Mukunda DC, Rodrigues J, Ameera K, Biswas S, Pai AR, Belurkar S, Mahato KK. Molecular Mechanisms of Neurofilament Alterations and its Application in Assessing Neurodegenerative Disorders. Ageing Res Rev 2024:102566. [PMID: 39481763 DOI: 10.1016/j.arr.2024.102566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 10/04/2024] [Accepted: 10/24/2024] [Indexed: 11/02/2024]
Abstract
Neurofilaments are intermediate filaments present in neurons. These provide structural support and maintain the size and shape of the neurons. Dysregulation, mutation, and aggregation of neurofilaments raise the levels of these proteins in the blood and cerebrospinal fluid, which are characteristic features of axonal damage and certain rare neurological diseases, such as Giant axonal neuropathy and Charcot-Mare-Tooth disease. Understanding the structure, dynamics, and function of neurofilaments has been greatly enhanced by a diverse range of biochemical and preclinical investigations conducted over more than four decades. Recently, there has been a resurgence of interest in post-translational modifications of neurofilaments, such as phosphorylation, aggregation, mutation, oxidation, etc. Over the past twenty years, several rare disorders have been studied from structural alterations of neurofilaments. These disorders are monitored by fluid biomarkers such as neurofilament light chains. Currently, there are many tools, such as Enzyme-Linked Immunosorbent Assay, Electrochemiluminescence Assay, Single-Molecule Array, Western/immunoblotting, etc., in use to assess the neurofilament proteins in Blood and CSF. However, all these techniques utilize expensive, non-specific, or antibody-based methods, which make them unsuitable for routine screening of neurodegenerative disorders. This provides room to search for newer sensitive, cost-effective, point-of-care tools for rapid screening of the disease. For a long time, the molecular mechanisms of neurofilaments have been poorly understood due to insufficient research attempts, and a deeper understanding of them remains elusive. Therefore, this review aims to highlight the available literature on molecular mechanisms of neurofilaments and the function of neurofilaments in axonal transport, axonal conduction, axonal growth, and neurofilament aggregation, respectively. Further, this review discusses the role of neurofilaments as potential biomarkers for the identification of several neurodegenerative diseases in clinical laboratory practice.
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Affiliation(s)
| | - Shaik Basha
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Anjana Pithakumar
- Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Thoshna
- Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | | | - Jackson Rodrigues
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - K Ameera
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Shimul Biswas
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Aparna Ramakrishna Pai
- Department of Neurology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Sushma Belurkar
- Department of Pathology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India
| | - Krishna Kishore Mahato
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India.
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Mondesert E, Schraen-Maschke S, Quadrio I, Bousiges O, Bouvier D, Delaby C, Bedel A, Lehmann S, Fourier A. A French multicenter analytical evaluation of the automated Lumipulse G sNfL blood assay (Fujirebio®) and its comparison to four other immunoassays for serum neurofilament light chain assessment in clinical settings. Clin Chim Acta 2024:120007. [PMID: 39454987 DOI: 10.1016/j.cca.2024.120007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 10/28/2024]
Abstract
OBJECTIVES Measurement of serum neurofilament light chain (sNfL) protein is becoming a key biomarker for many neurological diseases. Several immunoassays have been developed to meet these clinical needs, revealing significant differences in terms of variability and results. Here, we propose a French multicenter comparison of 5 sNfL assays. METHODS 6 replicates of 3 pools with low (10 pg/mL), medium (30 pg/mL) and high (100 pg/mL) sNfL values and one replicate of 12 samples with growing sNfL values were analyzed by six independent French clinical laboratories. The analytical performances of the sNfL blood assay (Fujirebio®) on Lumipulse G were first evaluated then compared to four other immunoassays: NF-light V2 (Quanterix®) on SiMOA HD-X, Human NF-L (Biotechne®) on Ella, R-Plex Human Neurofilament L (MSD®) on Sector 2400; manual ELISA test using Uman Diagnostic/Quanterix®. RESULTS Inter-center comparison of the Lumipulse blood assay revealed limited but significant differences in the mean sNfL values across low, medium, and high pools between each city (p < 0.001) and between the two different batches used. Coefficients of variation of pools ranged from 2.0 to 16.9 %. Z-score of sNfL results of the 12 samples ranged from -1.70 to +1.71. Inter-technique comparison showed a systematic difference of sNfL values, with a overestimation of MSD and Ella over other tests. Nonetheless, results were all significantly correlated (p < 0.001). CONCLUSION The automated Lumipulse assay produced comparable sNfL values across laboratories; but further adjustments are needed to harmonize sNfL results. Biologists and physicians should be aware of the variability in results between different immunoassay suppliers.
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Affiliation(s)
- Etienne Mondesert
- Laboratoire de Biochimie Protéomique Clinique (LBPC), Université de Montpellier, CHU de Montpellier, Institut des Neurosciences de Montpellier (INM), INSERM, Montpellier, France; Département de Biochimie, Université de Montpellier, CHU de Montpellier, Montpellier, France.
| | - Susanna Schraen-Maschke
- Univ. Lille, Inserm, CHU Lille, UMR-S-U1172, LiCEND, Lille Neuroscience & Cognition, LabEx DISTALZ, Lille, France
| | - Isabelle Quadrio
- Biochimie et Biologie Moléculaire-LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France; Equipe BIORAN, Centre de Recherche en Neurosciences de Lyon, CNRS UMR 5292, INSERM U1028, Université Lyon 1, Bron, France
| | - 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
| | - Constance Delaby
- Laboratoire de Biochimie Protéomique Clinique (LBPC), Université de Montpellier, CHU de Montpellier, Institut des Neurosciences de Montpellier (INM), INSERM, Montpellier, France; Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Aurélie Bedel
- Université de Bordeaux, INSERM BRIC U1312, Eq 8 BioGO, France; Service de Biochimie, CHU Bordeaux, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie Protéomique Clinique (LBPC), Université de Montpellier, CHU de Montpellier, Institut des Neurosciences de Montpellier (INM), INSERM, Montpellier, France
| | - Anthony Fourier
- Biochimie et Biologie Moléculaire-LBMMS, Unité de diagnostic des pathologies dégénératives, Centre de Biologie et Pathologie Est, Groupement Hospitalier Est, Lyon, France; Equipe BIORAN, Centre de Recherche en Neurosciences de Lyon, CNRS UMR 5292, INSERM U1028, Université Lyon 1, Bron, France
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Ponleitner M, Gatterer C, Bsteh G, Rath J, Altmann P, Berger T, Graf S, Sunder-Plassmann G, Rommer PS. Investigation of serum neurofilament light chain as a biomarker in Fabry disease. Sci Rep 2024; 14:23033. [PMID: 39362930 PMCID: PMC11449901 DOI: 10.1038/s41598-024-73537-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: 07/24/2024] [Accepted: 09/18/2024] [Indexed: 10/05/2024] Open
Abstract
Fabry disease (FD) constitutes a rare, X-linked lysosomal storage disorder affecting multiple organ systems, most notably heart, kidneys, and the central nervous system. Neurofilament light chains (NfL) have emerged as a prime candidate for a body fluid biomarker reflecting neuro-axonal injury. We aimed to evaluate its addition to the diagnostic and monitoring armamentarium in FD. Serum NfL concentrations (sNfL) were measured in 50 people with FD (PwFD) and 30 healthy control subjects (HC) using the Simoa© technology, followed by calculation of Z-scores adjusted for age and body mass index. In addition, clinical disease severity in PwFD was measured using the FOS-MSSI (Fabry outcome study - Mainz severity score index), which comprises clinical and paraclinical parameters. PwFD show elevated sNfL Z-scores compared to HC (PwFD: 1.12 [SD 1.5], HC: 0.01 [SD 1.2], p < 0.001). In PwFD, males showed higher sNfL Z-scores than females (1.75 [SD 1.5] vs. 0.73 [SD 1.4]). Importantly, sNfL Z-scores were increased in PwFD with ischemic white matter lesions of the CNS (1.5, SD 2.2 vs. 0.5, SD 2.9, p = 0.03). In our small cohort, sNfL Z-scores correlated fairly with FOS-MSSI (Kendall's-Tau [τ] = 0.25, p = 0.01), and, interestingly with serum creatinine (τ = 0.28, p = 0.005) and estimated glomerular filtration rate (eGFR, τ =-0.28, p = 0.005). Based on these exploratory results, sNfL might provide value as a biomarker of neuroaxonal damage in FD, possibly reflecting cerebrovascular injury. Additionally, the correlation of sNfL with renal function warrants further investigation.
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Affiliation(s)
- Markus Ponleitner
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
| | - Constantin Gatterer
- Division of Cardiology, Department of Medicine II, Medical University of Vienna, Vienna, Austria
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jakob Rath
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Patrick Altmann
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Senta Graf
- Division of Cardiology, Department of Medicine II, Medical University of Vienna, Vienna, Austria
| | - Gere Sunder-Plassmann
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Paulus Stefan Rommer
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
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5
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Coquelet P, Da Cal S, El Hage G, Tastet O, Balthazard R, Chaumont H, Yuh SJ, Shedid D, Arbour N. Specific plasma biomarker signatures associated with patients undergoing surgery for back pain. Spine J 2024:S1529-9430(24)00996-3. [PMID: 39276871 DOI: 10.1016/j.spinee.2024.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 08/02/2024] [Accepted: 09/01/2024] [Indexed: 09/17/2024]
Abstract
BACKGROUND CONTEXT Intervertebral disc degeneration (IDD) affects numerous people worldwide. The role of inflammation is increasingly recognized but remains incompletely resolved. Peripheral molecules could access neovascularized degenerated discs and contribute to the ongoing pathology. PURPOSE To assess a large array of plasma molecules in patients with IDD to identify biomarkers associated with specific spinal pathologies and prognostic biomarkers for the surgery outcome. DESIGN Prospective observational study combining clinical data and plasma measures. PATIENT SAMPLE Plasma samples were collected just before surgery. Extensive clinical data (age, sex, smoking status, Modic score, glomerular filtration rate, etc.) were extracted from clinical files from 83 patients with IDD undergoing spine surgery. OUTCOME MEASURES Recovery 2 months postsurgery as assessed by the treating neurosurgeon. METHODS Over 40 biological molecules were measured in patients' plasma using multiplex assays. Statistical analyses were performed to identify associations between biological and clinical characteristics (age, sex, Body Mass Index (BMI), smoking status, herniated disc, radiculopathy, myelopathy, stenosis, MODIC score, etc.) and plasma levels of biological molecules. RESULTS Plasma levels of Neurofilament Light chain (NfL) were significantly elevated in patients with myelopathy and spinal stenosis compared to herniated disc. Plasma levels of C- reactive protein (CRP), Neurofilament Light chain (NfL), and Serum Amyloid A (SAA) were negatively associated, while CCL22 levels were positively associated with an efficient recovery 2 months postsurgery. CONCLUSIONS Our results show that CRP and CCL22 plasma levels combined with the age of the IDD patient can predict the 2-month postsurgery recovery (Area Under the Curve [AUC]=0.883). Moreover, NfL could become a valuable monitoring tool for patients with spinal cord injuries.
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Affiliation(s)
- Perrine Coquelet
- Department of Neurosciences, Université de Montréal, Montréal, Quebec, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada
| | - Sandra Da Cal
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada
| | - Gilles El Hage
- Neurosurgery Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Quebec, Canada
| | - Olivier Tastet
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada
| | - Renaud Balthazard
- Department of Neurosciences, Université de Montréal, Montréal, Quebec, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada
| | - Hugo Chaumont
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada
| | - Sung-Joo Yuh
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada; Neurosurgery Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Quebec, Canada; Department of Surgery, Division of Neurosurgery, Université de Montréal, Montréal, Quebec, Canada
| | - Daniel Shedid
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada; Neurosurgery Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montréal, Quebec, Canada; Department of Surgery, Division of Neurosurgery, Université de Montréal, Montréal, Quebec, Canada
| | - Nathalie Arbour
- Department of Neurosciences, Université de Montréal, Montréal, Quebec, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Quebec, Canada.
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Tabor JB, Penner LC, Galarneau JM, Josafatow N, Cooper J, Ghodsi M, Huang J, Fraser DD, Smirl J, Esser MJ, Yeates KO, Wellington CL, Debert CT, Emery CA. Plasma Biomarkers of Traumatic Brain Injury in Adolescents With Sport-Related Concussion. JAMA Netw Open 2024; 7:e2431959. [PMID: 39235809 PMCID: PMC11378000 DOI: 10.1001/jamanetworkopen.2024.31959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2024] Open
Abstract
Importance Blood-based biomarkers may clarify underlying neuropathology and potentially assist in clinical management of adolescents with sport-related concussion (SRC). Objective To investigate the association between SRC and plasma biomarkers in adolescents. Design, Setting, and Participants Prospective cohort study in Canadian sport and clinic settings (Surveillance in High Schools and Community Sport to Reduce Concussions and Their Consequences study; September 2019 to November 2022). Participants were a convenience sample of 849 adolescent (ages 10-18 years) sport participants with blood samples. Data were analyzed from February to September 2023. Exposures Blood collection and clinical testing preseason (uninjured) and post-SRC follow-ups (ie, ≤72 hours, 1 week, and biweekly until medical clearance to return to play [RTP]). Main Outcomes and Measures Plasma glial fibrillary acidic protein (GFAP), ubiquitin c-terminal hydrolase-L1 (UCH-L1), neurofilament light (NfL), and total tau (t-tau) were assayed. Group-level comparisons of biomarker levels were conducted between uninjured and post-SRC intervals (postinjury day [PID] 0-3, 4-10, 11-28, and >28) considering age and sex as modifiers. Secondary analyses explored associations between biomarker concentrations and clinical outcomes (Sport Concussion Assessment Tool, Fifth Edition [SCAT5] symptom scores and time to RTP). Results This study included 1023 plasma specimens from 695 uninjured participants (467 male participants [67.2%]; median [IQR] age, 15.90 [15.13-16.84] years) and 154 participants with concussion (78 male participants [51.0%]; median [IQR] age, 16.12 [15.31-17.11] years). Acute (PID 0-3) differences relative to uninjured levels were found for GFAP (female participants: 17.8% increase; β = 0.164; 95% CI, 0.064 to 0.263; P = .001; male participants: 17.1% increase; β = 0.157; 95% CI, 0.086 to 0.229; P < .001), UCH-L1 (female participants: 43.4% increase; β = 0.361; 95% CI, 0.125 to 0.596; P = .003), NfL (male participants: 19.0% increase; β = 0.174; 95% CI, 0.087 to 0.261; P < .001), and t-tau (female participants: -22.9%; β = -0.260; 95% CI, -0.391 to -0.130; P < .001; male participants: -18.4%; β = -0.203; 95% CI, -0.300 to -0.106; P < .001). Differences were observed for all biomarkers at PID 4 to 10, 11 to 28, and greater than 28 compared with uninjured groups. GFAP, NfL, and t-tau were associated with SCAT5 symptom scores across several PID intervals. Higher GFAP after 28 days post-SRC was associated with earlier clearance to RTP (hazard ratio, 4.78; 95% CI, 1.59 to 14.31; P = .01). Male participants exhibited lower GFAP (-9.7%), but higher UCH-L1 (21.3%) compared with female participants. Age was associated with lower GFAP (-5.4% per year) and t-tau (-5.3% per year). Conclusions and Relevance In this cohort study of 849 adolescents, plasma biomarkers differed between uninjured participants and those with concussions, supporting their continued use to understand concussion neuropathology. Age and sex are critical considerations as these biomarkers progress toward clinical validation.
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Affiliation(s)
- Jason B Tabor
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Linden C Penner
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Jean-Michel Galarneau
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Nik Josafatow
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Jennifer Cooper
- Department of Pathology and Laboratory Medicine, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mohammad Ghodsi
- Department of Pathology and Laboratory Medicine, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Johnny Huang
- Department of Pathology and Laboratory Medicine, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Douglas D Fraser
- Department of Pediatrics and Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Jonathan Smirl
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Michael J Esser
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Keith Owen Yeates
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Cheryl L Wellington
- Department of Pathology and Laboratory Medicine, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Chantel T Debert
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Carolyn A Emery
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Departments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Velasco R, Marco C, Domingo‐Domenech E, Stradella A, Santos C, Laquente B, Ferrer G, Argyriou AA, Bruna J. Plasma neurofilament light chain levels in chemotherapy-induced peripheral neurotoxicity according to type of anticancer drug. Eur J Neurol 2024; 31:e16369. [PMID: 38952074 PMCID: PMC11295167 DOI: 10.1111/ene.16369] [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: 02/20/2024] [Revised: 04/19/2024] [Accepted: 05/12/2024] [Indexed: 07/03/2024]
Abstract
BACKGROUND AND PURPOSE A real-time biomarker in chemotherapy-induced peripheral neurotoxicity (CIPN) would be useful for clinical decision-making during treatment. Neurofilament light chain (NfL) can be detected in blood in the case of neuroaxonal damage. The aim of the study was to compare the levels of plasma NfL (pNfL) according to the type of chemotherapeutic agent and the severity of CIPN. METHODS This single-center prospective observational longitudinal study included patients treated with paclitaxel (TX; n = 34), brentuximab vedotin (BV; n = 29), or oxaliplatin (PT; n = 19). All patients were assessed using the Total Neuropathy Score-clinical version and Common Terminology Criteria for Adverse Events before, during, and up to 6-12 months after the end of treatment. Nerve conduction studies (NCS) were performed before and after chemotherapy discontinuation. Consecutive plasma samples were analyzed for NfL levels using a Simoa® analyzer. Changes in pNfL were compared between groups and were eventually correlated with clinical and NCS data. Clinically relevant (CR) CIPN was considered to be grade ≥ 2. RESULTS Eighty-two patients, mostly women (59.8%), were included. One third of the patients who received TX (29.4%), BV (31%), or PT (36.8%) developed CR-CIPN, respectively, without differences among them (p = 0.854). Although pNfL significantly increased during treatment and decreased throughout the recovery period in all three groups, patients receiving TX showed significantly greater and earlier changes in pNfL levels compared to the other agents (p < 0.001). CONCLUSIONS A variable change in pNfL is observed depending on the type of agent and mechanism of neurotoxicity with comparable CIPN severity, strongly implying the need to identify different cutoff values for each agent.
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Affiliation(s)
- Roser Velasco
- Neuro‐Oncology Unit of Institut d´Investigació Biomèdica de Bellvitge, Department of NeurologyHospital Universitari de Bellvitge–Institut Català d'OncologiaBarcelonaSpain
- Department of Cell Biology, Physiology, and ImmunologyInstitute of Neurosciences, Universitat Autònoma de BarcelonaBellaterraSpain
| | - Carla Marco
- Neuro‐Oncology Unit of Institut d´Investigació Biomèdica de Bellvitge, Department of NeurologyHospital Universitari de Bellvitge–Institut Català d'OncologiaBarcelonaSpain
| | - Eva Domingo‐Domenech
- Department of Haemathology, Catalan Institute of OncologyL'Hospitalet de Llobregat, Institut d´Investigació Biomèdica de BellvitgeBarcelonaSpain
| | - Agostina Stradella
- Department of Medical Oncology, Catalan Institute of OncologyL'Hospitalet de Llobregat, Institut d´Investigació Biomèdica de BellvitgeBarcelonaSpain
| | - Cristina Santos
- Department of Medical Oncology, Catalan Institute of OncologyL'Hospitalet de Llobregat, Institut d´Investigació Biomèdica de BellvitgeBarcelonaSpain
| | - Berta Laquente
- Department of Medical Oncology, Catalan Institute of OncologyL'Hospitalet de Llobregat, Institut d´Investigació Biomèdica de BellvitgeBarcelonaSpain
| | - German Ferrer
- Neuro‐Oncology Unit of Institut d´Investigació Biomèdica de Bellvitge, Department of NeurologyHospital Universitari de Bellvitge–Institut Català d'OncologiaBarcelonaSpain
| | | | - Jordi Bruna
- Neuro‐Oncology Unit of Institut d´Investigació Biomèdica de Bellvitge, Department of NeurologyHospital Universitari de Bellvitge–Institut Català d'OncologiaBarcelonaSpain
- Department of Cell Biology, Physiology, and ImmunologyInstitute of Neurosciences, Universitat Autònoma de BarcelonaBellaterraSpain
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Knudtzon SL, Nordengen K, Grøntvedt GR, Jarholm J, Eliassen IV, Selnes P, Pålhaugen L, Espenes J, Gísladóttir B, Waterloo K, Fladby T, Kirsebom BE. Age-adjusted CSF t-tau and NfL do not improve diagnostic accuracy for prodromal Alzheimer's disease. Neurobiol Aging 2024; 141:74-84. [PMID: 38838442 DOI: 10.1016/j.neurobiolaging.2024.05.016] [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: 12/20/2023] [Revised: 05/01/2024] [Accepted: 05/24/2024] [Indexed: 06/07/2024]
Abstract
Cerebrospinal fluid total-tau (t-tau) and neurofilament light chain (NfL) are biomarkers of neurodegeneration and are increased in Alzheimer's disease (AD). In order to adjust for age-related increases in t-tau and NfL, cross-sectional age-adjusted norms were developed based on amyloid negative cognitively normal (CN) adults aged 41-78 years (CN, n = 137). The age-adjusted norms for t-tau and NfL did not improve receiver operating curve based diagnostic accuracies in individuals with mild cognitive impairment (MCI) due to AD (AD-MCI, n = 144). Furthermore, while NfL was correlated with higher age in AD-MCI, no significant correlation was found for t-tau. The cox proportional hazard models, applied in 429 participants with baseline t-tau and NfL, showed higher hazard ratio of progression to MCI or dementia without age-adjustments (HR = 3.39 for t-tau and HR = 3.17 for NfL), as compared to using our norms (HR = 2.29 for t-tau and HR = 1.89 for NfL). Our results indicate that utilizing normative reference data could obscure significant age-related increases in these markers associated with neurodegeneration and AD leading to a potential loss of overall diagnostic accuracy.
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Affiliation(s)
- Stephanie Lindgård Knudtzon
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway; Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
| | - Kaja Nordengen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Gøril Rolfseng Grøntvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Jonas Jarholm
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingvild Vøllo Eliassen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jacob Espenes
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway; Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Berglind Gísladóttir
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital and University of Oslo, Oslo, Norway
| | - Knut Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway; Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway; Department of Psychology, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
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9
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Ashton NJ, Di Molfetta G, Tan K, Blennow K, Zetterberg H, Messing A. Plasma concentrations of glial fibrillary acidic protein, neurofilament light, and tau in Alexander disease. Neurol Sci 2024; 45:4513-4518. [PMID: 38558318 PMCID: PMC11305938 DOI: 10.1007/s10072-024-07495-8] [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: 02/06/2024] [Accepted: 03/23/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION Alexander disease (AxD) is a rare leukodystrophy caused by dominant gain-of-function mutations in the gene encoding the astrocyte intermediate filament, glial fibrillary acidic protein (GFAP). However, there is an urgent need for biomarkers to assist in monitoring not only the progression of disease but also the response to treatment. GFAP is the obvious candidate for such a biomarker, as it is measurable in body fluids that are readily accessible for biopsy, namely cerebrospinal fluid and blood. However, in the case of ASOs, the treatment that is furthest in development, GFAP is the target of therapy and presumably would go down independent of disease status. Hence, there is a critical need for biomarkers that are not directly affected by the treatment strategy. METHODS We explored the potential utility of biomarkers currently being studied in other neurodegenerative diseases and injuries, specifically neurofilament light protein (NfL), phosphorylated forms of tau, and amyloid-β peptides (Aβ42/40). RESULTS AND CONCLUSIONS Here, we report that GFAP is elevated in plasma of all age groups afflicted by AxD, including those with adult onset. NfL and p-tau are also elevated, but to a much lesser extent than GFAP. In contrast, the levels of Aß40 and Aß42 are not altered in AxD.
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Affiliation(s)
- Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, 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
| | - Guglielmo Di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kübra Tan
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, 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
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute On Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, People's Republic of China
| | - 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, 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
| | - Albee Messing
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA.
- Department of Comparative Biosciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, 53705, USA.
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Wannan CMJ, Eratne D, Santillo AF, Malpas C, Cilia B, Dean OM, Walker A, Berk M, Bousman C, Everall I, Velakoulis D, Pantelis C. Plasma neurofilament light protein is differentially associated with age in individuals with treatment-resistant schizophrenia and bipolar affective disorder compared to controls. Psychiatry Res 2024; 339:116073. [PMID: 39024892 DOI: 10.1016/j.psychres.2024.116073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 06/23/2024] [Accepted: 06/29/2024] [Indexed: 07/20/2024]
Abstract
Accelerated brain ageing has been observed in multiple psychiatric disorders. This study examined whether relationships between age and plasma neurofilament light (NfL) protein differed in individuals with psychiatric disorders (major depressive disorder (n = 42), bipolar affective disorder (n = 121), treatment-resistant schizophrenia (TRS, n = 82)) compared to two healthy control (HC) groups (n = 1,926 and n = 59). Compared to two independent HC samples, individuals with TRS demonstrated a stronger positive relationship between age and NfL levels. Individuals with BPAD had a stronger negative relationship between age and NfL levels compared to the large normative HC cohort, but not locally-acquired HCs. These findings show that plasma NfL levels are differentially associated with age in individuals with TRS and BPAD compared to healthy individuals.
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Affiliation(s)
- Cassandra M J Wannan
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia; Orygen, Parkville, Victoria, Australia.
| | - Dhamidhu Eratne
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia; Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Alexander F Santillo
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Charles Malpas
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Australia; Melbourne School of Psychological Sciences, University of Melbourne, Australia
| | - Brandon Cilia
- Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Olivia M Dean
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia; Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Adam Walker
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Chad Bousman
- Department of Medical Genetics, University of Calgary, Calgary, Canada; Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Ian Everall
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia; Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Australia; Western Centre for Health Research & Education, University of Melbourne & Western Health, Sunshine Hospital, St Albans, VIC, Australia; Monash Institute of Pharmaceutical Sciences (MIPS), Monash University, Parkville, Vic, Australia
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11
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Mandelblatt J, Dage JL, Zhou X, Small BJ, Ahles TA, Ahn J, Artese A, Bethea TN, Breen EC, Carroll JE, Cohen HJ, Extermann M, Graham D, Claudine I, Jim HSL, McDonald BC, Nakamura ZM, Patel SK, Rebeck GW, Rentscher KE, Root JC, Russ KA, Tometich DB, Turner RS, Van Dyk K, Zhai W, Huang LW, Saykin AJ. Alzheimer disease-related biomarkers and cancer-related cognitive decline: the Thinking and Living with Cancer study. J Natl Cancer Inst 2024; 116:1495-1507. [PMID: 38788675 PMCID: PMC11378315 DOI: 10.1093/jnci/djae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
PURPOSE We evaluated whether plasma Alzheimer disease (AD)-related biomarkers were associated with cancer-related cognitive decline among older breast cancer survivors. METHODS We included survivors aged 60-90 years with primary stage 0-III breast cancers (n = 236) and frequency-matched noncancer control paricipant (n = 154) who passed a cognitive screen and had banked plasma specimens. Participants were assessed at baseline (presystemic therapy) and annually for up to 60 months. Cognition was measured using tests of attention, processing speed, and executive function and learning and memory; perceived cognition was measured by the Functional Assessment of Cancer Therapy-Cognitive Function v3 Perceived Cognitive Impairments. Baseline plasma neurofilament light, glial fibrillary acidic protein, β-amyloid 42 and 40 and phosphorylated tau 181 were assayed using single molecule arrays. Mixed models tested associations between cognition and baseline AD biomarkers, time, group (survivor vs control participant), and their 2- and 3-way interactions, controlling for age, race, Wide Range 4 Achievement Test Word Reading score, comorbidity, and body mass index; 2-sided P values of .05 were considered statistically significant. RESULTS There were no group differences in baseline AD-related biomarkers except survivors had higher baseline neurofilament light levels than control participants (P = .013). Survivors had lower adjusted longitudinal attention, processing speed, and executive function than control participants starting from baseline and continuing over time (P ≤ .002). However, baseline AD-related biomarker levels were not independently associated with adjusted cognition over time, except control participants had lower attention, processing speed, and executive function scores with higher glial fibrillary acidic protein levels (P = .008). CONCLUSION The results do not support a relationship between baseline AD-related biomarkers and cancer-related cognitive decline. Further investigation is warranted to confirm the findings, test effects of longitudinal changes in AD-related biomarkers, and examine other mechanisms and factors affecting cognition presystemic therapy.
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Affiliation(s)
- Jeanne Mandelblatt
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Jeffrey L Dage
- Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Ashley Artese
- Department of Exercise Science and Health Promotion, Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey J Cohen
- Department of Medicine, Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Martine Extermann
- Senior Adult Oncology Program, Department of Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Isaacs Claudine
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brenna C McDonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sunita K Patel
- Department of Population Sciences and Department of Supportive Care Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - G William Rebeck
- Department of Neuroscience, Georgetown University, Washington, DC, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kristen A Russ
- Department of Medical and Molecular Genetics and National Centralized Repository for Alzheimer’s and Related Dementias, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danielle B Tometich
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - R Scott Turner
- Department of Neurology, Georgetown University, Washington, DC, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Li-Wen Huang
- Division of Hematology/Oncology, University of California San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
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Di Filippo M, Gaetani L, Centonze D, Hegen H, Kuhle J, Teunissen CE, Tintoré M, Villar LM, Willemse EA, Zetterberg H, Parnetti L. Fluid biomarkers in multiple sclerosis: from current to future applications. THE LANCET REGIONAL HEALTH. EUROPE 2024; 44:101009. [PMID: 39444698 PMCID: PMC11496979 DOI: 10.1016/j.lanepe.2024.101009] [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: 01/15/2024] [Revised: 05/21/2024] [Accepted: 07/09/2024] [Indexed: 10/25/2024]
Abstract
Multiple sclerosis (MS) is an immune-mediated inflammatory and degenerative disorder of the central nervous system (CNS) with heterogeneous clinical manifestations. In the last decade, the landscape of cerebrospinal fluid (CSF) and blood biomarkers as potential key tools for MS diagnosis, prognosis and treatment monitoring has evolved considerably, alongside magnetic resonance imaging (MRI). CSF analysis has the potential not only to provide information on the underlying immunopathology of the disease and exclude differential diagnoses, but also to predict the risk of future relapses and disability accrual, guide therapeutic decisions and thus improve patient outcomes. This Series article overviews the biological framework and current applicability of fluid biomarkers for MS, exploring their potential role in the molecular characterisation of the disease. We discuss recent advances in the field of neurochemistry that enabled the detection of brain-derived proteins in blood, opening the door to much more efficient longitudinal disease monitoring. Furthermore, we identify the current challenges in the application of fluid biomarkers for MS in a real-world setting, while offering recommendations for harnessing their full potential as key paraclinical tools to improve patient management and personalise treatment.
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Affiliation(s)
- Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Diego Centonze
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Jens Kuhle
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Mar Tintoré
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology, Hospital Universitari Vall D'Hebron, Universitat Autònoma de Barcelona, Universitat de Vic-Universitat Central de Catalunya (UVic-UCC), Barcelona, Spain
| | - Luisa M. Villar
- Departments of Immunology and Neurology, Multiple Sclerosis Unit, Hospital Ramon y Cajal, (IRYCIS), Madrid, Spain
| | - Eline A.J. Willemse
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- UW Department of Medicine, School of Medicine and Public Health, Madison, WI, USA
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Nicolella V, Fiorenza M, Monteiro I, Novarella F, Sirica R, D'Angelo M, Carbone G, La Civita E, Esposito A, Criscuolo V, Carotenuto A, Petracca M, Lanzillo R, Castaldo G, Morra VB, Terracciano D, Moccia M. Clinical utility of the Lumipulse™ immunoassay for plasma neurofilament light chain in multiple sclerosis. J Neurol Sci 2024; 463:123115. [PMID: 38964268 DOI: 10.1016/j.jns.2024.123115] [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: 04/04/2024] [Revised: 06/04/2024] [Accepted: 06/25/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVE Blood neurofilament light chain (NfL) is robustly associated with disease worsening in multiple sclerosis (MS), though potentially affected by concomitant factors also determining neuro-axonal loss. We investigated the association between plasma NfL (pNfL) measured with Lumipulse™ immunoassay and demographic and clinical variables in MS. METHODS This cross-sectional study included 685 people with MS (age 49.7 ± 12.4 years; sex 65.55% females). On the same day, we collected plasma samples, along with demographics, comorbidities, and clinical variables (MS disease duration, expanded disability status scale (EDSS), Symbol Digit Modalities Test (SDMT), descriptor of disease progression, current disease modifying treatment (DMT), number of previous DMTs, evidence of disease activity in the past year (i.e. relapse or MRI new lesions), EDSS progression). pNfL was evaluated using Lumipulse™ fully automated chemiluminescent enzyme immunoassay. RESULTS On multivariable linear regression model, higher pNfL was associated with higher EDSS (Coeff = 1.73; 95%CI 0.78, 2.68; p < 0.01), recent disease activity (Coeff = 15.70; 95%CI = 5.35, 26.06; p < 0.01), and presence of cardiovascular comorbidity (Coeff = 3.84; 95%CI 0.48, 7.20; p = 0.025). Lower pNfL was found in patients on DMT treatment (Coeff = -10.23; 95%CI -18.42, -2.04; p = 0.015), when compared with no DMT (reference). For 77.81% of our population there was correspondence between pNfL levels and two previously-validated cutoffs. CONCLUSIONS pNfL measured using Lumipulse™ confirms known associations with MS activity, disability and treatments, and related confounding (e.g., cardiovascular comorbidity), thus granting further utilization in research and clinical practice.
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Affiliation(s)
- Valerio Nicolella
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Mariano Fiorenza
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Isabel Monteiro
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Italy; Neurology Department, Coimbra University Hospital Center, Coimbra, Portugal; Multiple Sclerosis Unit, Policlinico Federico II University Hospital, Naples, Italy
| | - Federica Novarella
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Rosa Sirica
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Martina D'Angelo
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Gianluigi Carbone
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Evelina La Civita
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Antonio Esposito
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy
| | - Vincenzo Criscuolo
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Italy
| | - Antonio Carotenuto
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy; Multiple Sclerosis Unit, Policlinico Federico II University Hospital, Naples, Italy
| | - Maria Petracca
- Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy
| | - Roberta Lanzillo
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy; Multiple Sclerosis Unit, Policlinico Federico II University Hospital, Naples, Italy
| | - Giuseppe Castaldo
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Italy; Centre for Advanced Biotechnology (CEINGE), Naples, Italy
| | - Vincenzo Brescia Morra
- Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Naples, Italy; Multiple Sclerosis Unit, Policlinico Federico II University Hospital, Naples, Italy
| | - Daniela Terracciano
- Department of Translational Medical Sciences, Federico II University of Naples, Naples, Italy
| | - Marcello Moccia
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Italy; Multiple Sclerosis Unit, Policlinico Federico II University Hospital, Naples, Italy.
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Nakamura T, Kawarabayashi T, Shibata M, Kasahara H, Makioka K, Sugawara T, Oka H, Ishizawa K, Amari M, Ueda T, Kinoshita S, Miyamoto Y, Kaito K, Takatama M, Ikeda Y, Shoji M. High levels of plasma neurofilament light chain correlated with brainstem and peripheral nerve damage. J Neurol Sci 2024; 463:123137. [PMID: 39032446 DOI: 10.1016/j.jns.2024.123137] [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: 05/27/2024] [Revised: 07/10/2024] [Accepted: 07/12/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND AND OBJECTIVES Blood neurofilament light chain (NfL) is a minimally invasive, but highly sensitive biomarker of neurological diseases. However, diseases and neurological damage associated with increased NfL remain unclear. Therefore, the present study investigated factors associated with increased plasma NfL levels in various neurological diseases, focal lesions and pathological processes. METHODS This was a retrospective cohort study on 410 participants with various neurological diseases and 17 healthy and cognitively unimpaired controls (HCU). Plasma samples were analyzed to measure NfL using ECL immunoassay. The focal lesions were classified as the cerebrum, cerebellum, brainstem, meninges, spinal cord, peripheral nerves, neuromuscular junction, and muscles based on medical records. A multiple regression analysis and receiver operating characteristic curve (ROC) analysis were performed to investigate whether plasma NfL levels predict specific diseases and focal lesions. RESULTS Plasma NfL levels discriminated between the HCU and all disease groups (area under the curve (AUC), 0.97), with a cut-off value of 63.4 pg/mL. A multiple regression analysis of focal lesions adjusted by pathogenic processes showed that brainstem and peripheral nerve involvement was associated with higher plasma NfL levels. A cut-off value of 53.8 pg/mL of NfL discriminated between the HCU and neurological disease group except for brainstem or peripheral disorders (AUC 0.962), while a cut-off value of 208.0 pg/mL distinguished this group from brainstem or peripheral nervous system disorders (AUC 0.716). DISCUSSION These results demonstrate that plasma NfL has a potential to be a highly sensitive biomarker for neurological diseases and focal lesions.
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Affiliation(s)
- Takumi Nakamura
- Department of Neurology, Gunma University Graduate School of Medicine, Gunma, Japan.
| | | | - Makoto Shibata
- Department of Neurology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Hiroo Kasahara
- Department of Neurology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Kouki Makioka
- Department of Neurology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Takashi Sugawara
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
| | - Hironori Oka
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
| | - Kunihiko Ishizawa
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
| | - Masakuni Amari
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
| | - Tetsuya Ueda
- Bioanalysis Department, Mediford Corporation, Tokyo, Japan
| | | | - Yuka Miyamoto
- Bioanalysis Department, Mediford Corporation, Tokyo, Japan
| | - Kozue Kaito
- Bioanalysis Department, Mediford Corporation, Tokyo, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Mikio Shoji
- Department of Neurology, Geriatrics Research Institute and Hospital, Gunma, Japan
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15
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Light V, Jones SL, Rahme E, Rousseau K, de Boer S, Vermunt L, Soltaninejad M, Teunissen C, Pijnenburg Y, Ducharme S, Consortium FS. Clinical Accuracy of Serum Neurofilament Light to Differentiate Frontotemporal Dementia from Primary Psychiatric Disorders is Age-Dependent. Am J Geriatr Psychiatry 2024; 32:988-1001. [PMID: 38609836 DOI: 10.1016/j.jagp.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 03/15/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Symptoms of behavioral variant frontotemporal dementia (bvFTD) overlap with primary psychiatric disorders (PPD) making diagnosis challenging. Serum neurofilament light (sNfL) is a candidate biomarker to distinguish bvFTD from PPD, but large-scale studies in PPD are lacking. OBJECTIVE Determine factors that influence sNfL from a large database of PPD patients, and test its diagnostic accuracy. DESIGN, SETTINGS, SUBJECTS, MEASUREMENTS Clinical data of people aged 40-81 were obtained from healthy subjects (n = 69), and patients with PPD (n = 848) or bvFTD (n = 82). sNfL was measured using Simoa technology on an HD-X instrument. Data were analyzed using general linear models, and Receiver Operating Characteristic (ROC) curve analyses to determine global and age-specific sNfL cutoffs to distinguish bvFTD from PPD, using the Youden Index. RESULTS sNfL increased with age, while sex, BMI and diabetes status were modestly associated with sNfL. sNfL was slightly higher in PPD than healthy subjects (14.1 versus 11.7 pg/mL), when controlling for covariates. sNfL was markedly lower in PPD than bvFTD (14.1 versus 44.1 pg/mL). sNfL could differentiate PPD from bvFTD with an AUC = 0.868, but the effect was driven by the younger subjects between age 40-60 years at a cutoff of 16.0 pg/mL. No valid cutoff was detected over age 60, however, values of sNfL above 38.5 pg/mL, or below 13.9 pg/mL, provided 90% diagnostic certainty of bvFTD or PPD, respectively. CONCLUSION PPD have mildly elevated sNfL compared to healthy subjects but much lower than bvFTD. Results support the use of sNfL as a biomarker to differentiate PPD from bvFTD at age 60 or below, but accuracy decreases in older ages.
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Affiliation(s)
- Victoria Light
- Department of Psychiatry, McGill University (VL, SD), Douglas Mental Health University Institute, Montreal, QC, Canada; Integrated Program of Neuroscience (VL), McGill University, Montreal, QC, Canada
| | | | - Elham Rahme
- Research Institute of the McGill University Health Centre (RI-MUHC) (ER), Montreal, QC, Canada
| | - Katerine Rousseau
- Institut Universitaire en Santé Mentale de Montréal, Département de Psychiatrie (KR), Université de Montréal, Montreal, QC, Canada
| | - Sterre de Boer
- Alzheimer Center Amsterdam, Department of Neurology (SB, YP), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; School of Psychology (SB), The University of Sydney, Sydney, NSW, Australia
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC (LV, CT), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mahdie Soltaninejad
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & Neurosurgery (MS, SD), McGill University, Montreal, QC, Canada
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Neurodegeneration, Amsterdam UMC (LV, CT), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology (SB, YP), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Simon Ducharme
- Department of Psychiatry, McGill University (VL, SD), Douglas Mental Health University Institute, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & Neurosurgery (MS, SD), McGill University, Montreal, QC, Canada.
| | - For Signature Consortium
- Centre de Recherche de l'institut universitaire en santé mentale de Montréal (SC, CCNA), Montreal, QC, Canada
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16
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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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17
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Dobson H, Al Maawali S, Malpas C, Santillo AF, Kang M, Todaro M, Watson R, Yassi N, Blennow K, Zetterberg H, Foster E, Neal A, Velakoulis D, O'Brien TJ, Eratne D, Kwan P. Elevated plasma neurofilament light and glial fibrillary acidic protein in epilepsy versus nonepileptic seizures and nonepileptic disorders. Epilepsia 2024. [PMID: 39032019 DOI: 10.1111/epi.18065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 07/09/2024] [Accepted: 07/10/2024] [Indexed: 07/22/2024]
Abstract
OBJECTIVE Research suggests that recurrent seizures may lead to neuronal injury. Neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAP) levels increase in cerebrospinal fluid and blood in response to neuroaxonal damage, and they have been hypothesized as potential biomarkers for epilepsy. We examined plasma NfL and GFAP levels and their diagnostic utility in differentiating patients with epilepsy from those with psychogenic nonepileptic seizures (PNES) and other nonepileptic disorders. METHODS We recruited consecutive adults admitted for video-electroencephalographic monitoring and formal neuropsychiatric assessment. NfL and GFAP levels were quantified and compared between different patient groups and an age-matched reference cohort (n = 1926) and correlated with clinical variables in patients with epilepsy. RESULTS A total of 138 patients were included, of whom 104 were diagnosed with epilepsy, 22 with PNES, and 12 with other conditions. Plasma NfL and GFAP levels were elevated in patients with epilepsy compared to PNES, adjusted for age and sex (NfL p = .04, GFAP p = .04). A high proportion of patients with epilepsy (20%) had NfL levels above the 95th age-matched percentile compared to the reference cohort (5%). NfL levels above the 95th percentile of the reference cohort had a 95% positive predictive value for epilepsy. Patients with epilepsy who had NfL levels above the 95th percentile were younger than those with lower levels (37.5 vs. 43.8 years, p = .03). SIGNIFICANCE An elevated NfL or GFAP level in an individual patient may support an underlying epilepsy diagnosis, particularly in younger adults, and cautions against a diagnosis of PNES alone. Further examination of the association between NfL and GFAP levels and specific epilepsy subtypes or seizure characteristics may provide valuable insights into disease heterogeneity and contribute to the refinement of diagnosis, understanding pathophysiological mechanisms, and formulating treatment approaches.
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Affiliation(s)
- Hannah Dobson
- Department of Psychiatry, Alfred Health, Melbourne, Victoria, Australia
- Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Said Al Maawali
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
| | - Charles Malpas
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Matthew Kang
- Department of Psychiatry, Alfred Health, Melbourne, Victoria, Australia
- Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Marian Todaro
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Rosie Watson
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Nawaf Yassi
- Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
- Population Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, 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, China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at 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
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Emma Foster
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Andrew Neal
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Terence John O'Brien
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick Kwan
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Melbourne, Victoria, Australia
- Department of Neurology, Melbourne Brain Centre at Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
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18
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Ashrafzadeh-Kian S, Figdore D, Larson B, Deters R, Abou-Diwan C, Bornhorst J, Algeciras-Schimnich A. Head-to-head comparison of four plasma neurofilament light chain (NfL) immunoassays. Clin Chim Acta 2024; 561:119817. [PMID: 38879065 DOI: 10.1016/j.cca.2024.119817] [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: 01/24/2024] [Revised: 06/12/2024] [Accepted: 06/12/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Neurofilament Light Chain (NfL) is an emerging blood biomarker of neuro-axonal injury and neurodegeneration with the potential to be used in the clinical management of various neurological conditions. Various NfL immunoassays are in development on high-throughput automated systems, but little information is available related to the comparability between assays. In this study, we performed a head-to-head comparison of four NfL immunoassays using plasma samples from individuals with various neurological conditions. METHODS EDTA plasma samples in which NfL was ordered clinically were stratified according to diagnosis. NfL concentrations (pg/mL) in plasma were obtained using the Quanterix Simoa®, the Roche Elecsys, the Siemens Healthineers Atellica®IM, and the Fujirebio Lumipulse® NfL assays. Passing-Bablok regression analyses were performed to assess the correlation and bias between methods. Additionally, the distribution of NfL concentrations for each assay was assessed in three disease groups: amyotrophic lateral sclerosis (ALS) upon initial diagnosis, ALS treated, and multiple sclerosis (MS). RESULTS The R2 between assays were all ≥ 0.95, however, significant proportional bias was observed between some assays. In particular, the Roche Elecsys assay NfL concentrations were significantly lower (∼85 %) when compared against the other three assays. The four assays were comparable with regards to the percentage of patients that were identified as having an elevated NfL result in the various clinical groups: ALS initial diagnoses (83-94 %), ALS untreated (93-100 %), and MS (8-18 %). CONCLUSIONS This is the first study describing a head-to-head comparison of four automated NfL immunoassays. We demonstrate that there is a strong correlation between assays but a lack of standardization which is evident by the bias observed between some of the evaluated methods. These analytical differences will be important to consider when using NfL as a biomarker of neurodegeneration.
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Affiliation(s)
| | - Daniel Figdore
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Bethany Larson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rebecca Deters
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | - Joshua Bornhorst
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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19
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Parkin GM, Thomas EA, Corey-Bloom J. Mapping neurodegeneration across the Huntington's disease spectrum: a five-year longitudinal analysis of plasma neurofilament light. EBioMedicine 2024; 104:105173. [PMID: 38815362 PMCID: PMC11167241 DOI: 10.1016/j.ebiom.2024.105173] [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: 10/06/2023] [Revised: 04/25/2024] [Accepted: 05/15/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Neurofilament light (NfL) has previously been highlighted as a potential biomarker for Huntington's Disease (HD) using cross-sectional analyses. Our study aim was to investigate how longitudinal trajectories of plasma NfL relate to HD disease stage. METHODS 108 participants [78 individuals with the HD mutation, and 30 healthy controls (HC)] were included in this study. Individuals with the HD mutation were categorised separately by both HD-Integrated Staging System (HD-ISS) (Study 1) and PIN score-Approximated Staging System (PASS) (Study 2) criteria. Plasma NfL trajectories were examined using Mixed Linear Modeling (MLM); associations with symptom presentation were assessed using Spearman's rho correlations. FINDINGS The MLM coefficients for disease stage (HD-ISS β = 32.73, p < 0.0001; PASS β = 33.00, p < 0.0001) and disease stage∗time (HD-ISS β = 7.85, p = 0.004; PASS β = 6.58, p = 0.0047) suggest these are significant contributors to plasma NfL levels. In addition, the plasma NfL rate of change varied significantly across time (HD-ISS β = 3.14, p = 0.04; PASS β = 2.94, p = 0.050). The annualised rate of change was 8.32% for HC; 10.55%, 12.75% and 15.62% for HD-ISS Stage ≤1, Stage 2, and Stage 3, respectively; and 12.13%, 10.46%, 10.33%, 17.52%, for PASS Stage 0, Stage 1, Stage 2, and Stage 3, respectively. Plasma NfL levels correlated with the Symbol Digit Modalities Test (SDMT) in HD-ISS Stage ≤1, and both SDMT and Total Motor Score in Stage 3 (ps < 0.01). INTERPRETATION Our findings suggest that plasma NfL levels increase linearly across earlier disease stages, correlating with the cognitive SDMT measure. Thereafter, an increase or surge in plasma NfL levels, paired with correlations with both cognitive and motor measures, suggest a late acceleration in clinical and pathological progression. FUNDING NIH (NS111655); the UCSD HDSA CoE; the UCSD ADRC (NIH-NIA P30 AG062429).
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Affiliation(s)
- Georgia M Parkin
- Department of Neurosciences, University of California San Diego, San Diego, 92093, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, 92697, CA, USA.
| | - Elizabeth A Thomas
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, 92697, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, 92697, CA, USA
| | - Jody Corey-Bloom
- Department of Neurosciences, University of California San Diego, San Diego, 92093, CA, USA
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20
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Wurm R, Prausmüller S, Ponleitner M, Spinka G, Weidenhammer A, Arfsten H, Heitzinger G, Panagiotides NG, Strunk G, Bartko P, Goliasch G, Stögmann E, Hengstenberg C, Hülsmann M, Pavo N. Serum Markers of Neurodegeneration Are Strongly Linked to Heart Failure Severity and Outcome. JACC. HEART FAILURE 2024; 12:1073-1085. [PMID: 38839151 DOI: 10.1016/j.jchf.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/28/2024] [Accepted: 03/05/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Cognitive impairment is prevalent in patients with heart failure with reduced ejection fraction (HFrEF), affecting self-care and outcomes. Novel blood-based biomarkers have emerged as potential diagnostic tools for neurodegeneration. OBJECTIVES This study aimed to assess neurodegeneration in HFrEF by measuring neurofilament light chain (NfL), total tau (t-tau), amyloid beta 40 (Aβ40), and amyloid beta 42 (Aβ42) in a large, well-characterized cohort. METHODS The study included 470 patients with HFrEF from a biobank-linked prospective registry at the Medical University of Vienna. High-sensitivity single-molecule assays were used for measurement. Unplanned heart failure (HF) hospitalization and all-cause death were recorded as outcome parameters. RESULTS All markers, but not the Aβ42:Aβ40 ratio, correlated with HF severity, ie, N-terminal pro-B-type natriuretic peptide and NYHA functional class, and comorbidity burden and were significantly associated with all-cause death and HF hospitalization (crude HR: all-cause death: NfL: 4.44 [95% CI: 3.02-6.53], t-tau: 5.04 [95% CI: 2.97-8.58], Aβ40: 3.90 [95% CI: 2.27-6.72], and Aβ42: 5.14 [95% CI: 2.84-9.32]; HF hospitalization: NfL: 2.48 [95% CI: 1.60-3.85], t-tau: 3.44 [95% CI: 1.95-6.04], Aβ40: 3.13 [95% CI: 1.84-5.34], and Aβ42: 3.48 [95% CI: 1.93-6.27]; P < 0.001 for all). These associations remained statistically significant after multivariate adjustment including N-terminal pro-B-type natriuretic peptide. The discriminatory accuracy of NfL in predicting all-cause mortality was comparable to the well-established risk marker N-terminal pro-B-type natriuretic peptide (C-index: 0.70 vs 0.72; P = 0.225), whereas the C-indices of t-tau, Aβ40, Aβ42, and the Aβ42:Aβ40 ratio were significantly lower (P < 0.05 for all). CONCLUSIONS Neurodegeneration is directly interwoven with the progression of HF. Biomarkers of neurodegeneration, particularly NfL, may help identify patients potentially profiting from a comprehensive neurological work-up. Further research is necessary to test whether early diagnosis or optimized HFrEF treatment can preserve cognitive function.
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Affiliation(s)
- Raphael Wurm
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Suriya Prausmüller
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Markus Ponleitner
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Georg Spinka
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Annika Weidenhammer
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Henrike Arfsten
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Gregor Heitzinger
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Noel Gilian Panagiotides
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | | | - Philipp Bartko
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Georg Goliasch
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Elisabeth Stögmann
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Christian Hengstenberg
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Martin Hülsmann
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria.
| | - Noemi Pavo
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria
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Alagaratnam J, Stöhr W, Hamlyn E, Porter K, Toombs J, Heslegrave A, Zetterberg H, Gisslén M, Underwood J, Schechter M, Kaleebu P, Tambussi G, Kinloch S, Miro JM, Kelleher AD, Babiker A, Frater J, Winston A, Fidler S. Impact of interrupting antiretroviral therapy started during primary HIV-1 infection on plasma neurofilament light chain protein, a marker of neuronal injury: The SPARTAC trial. J Virus Erad 2024; 10:100381. [PMID: 38988673 PMCID: PMC11234014 DOI: 10.1016/j.jve.2024.100381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 07/12/2024] Open
Abstract
Objective Antiretroviral therapy (ART)-conferred suppression of HIV replication limits neuronal injury and inflammation. ART interruption tests efficacy in HIV cure trials and viral rebound after ART interruption may induce neuronal injury. We investigated the impact of protocol-defined ART interruption, commenced during primary HIV-1 infection (PHI) on a biomarker of neuro-axonal injury (neurofilament light protein (NfL)), and its associations with inflammation (D-dimer and interleukin-6 (IL-6)) and HIV-1 reservoir size (total HIV-1 DNA). Design Retrospective study measuring plasma NfL in 83 participants enrolled in SPARTAC randomised to receive 48-weeks ART initiated during PHI, followed by ART interruption. Methods NfL (Simoa immunoassay, Quanterix™) was measured before ART, after 48 weeks on ART, and 12 weeks after stopping ART. Plasma D-dimer and IL-6, and total HIV-1 DNA in peripheral CD4+ T-cells results were available in a subset of participants. Longitudinal NfL changes were assessed using mixed models, and associations with clinical and laboratory parameters using linear regression. Results NfL decreased following 48-weeks ART (geometric mean 6.9 to 5.8 pg/mL, p = 0.006) with no further significant change up to 12-weeks post-stopping ART despite viral rebound in the majority of participants (median 1.7 to 3.9 plasma HIV-1 RNA log10 copies/mL). Higher baseline NfL was independently associated with higher plasma HIV-1 RNA (p = 0.020) and older age (p = 0.002). While NfL was positively associated with D-dimer (n = 48; p = 0.002), there was no significant association with IL-6 (n = 48) or total HIV-1 DNA (n = 51). Conclusions Using plasma NfL as a surrogate marker, a decrease in neuro-axonal injury was observed in a cohort of participants following ART initiation during PHI, with no evidence of neuro-axonal injury rebound following ART interruption for up to 12 weeks, despite viral rebound in the majority of participants.
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Affiliation(s)
- Jasmini Alagaratnam
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Wolfgang Stöhr
- Medical Research Council Clinical Trials Unit at University College London, London, United Kingdom
| | - Elizabeth Hamlyn
- Caldecot Centre, Kings College Hospital NHS Foundation Trust, London, United Kingdom
| | - Kholoud Porter
- Institute for Global Health, University College London, London, United Kingdom
| | - Jamie Toombs
- UK Dementia Research Institute at University College London, London, United Kingdom
| | - Amanda Heslegrave
- UK Dementia Research Institute at University College London, London, United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute at University College London, London, United Kingdom
- Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, United Kingdom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Infectious Diseases, Gothenburg, Sweden
| | - Jonathan Underwood
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Mauro Schechter
- Projeto Praça Onze, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute, Entebbe, Uganda
| | | | - Sabine Kinloch
- Department of Infection and Immunity, Royal Free Hospital, Pond Street, London, United Kingdom
| | - Jose M Miro
- Infectious Diseases Service, Hospital Clinic - IDIBAPS. University of Barcelona, Barcelona, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Abdel Babiker
- Medical Research Council Clinical Trials Unit at University College London, London, United Kingdom
| | - John Frater
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute of Health Research Biomedical Research Centre, Oxford, United Kingdom
| | - Alan Winston
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Sarah Fidler
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
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22
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Altomare D, Libri I, Alberici A, Rivolta J, Padovani A, Ashton NJ, Zetterberg H, Blennow K, Borroni B. Plasma biomarkers increase diagnostic confidence in patients with Alzheimer's disease or frontotemporal lobar degeneration. Alzheimers Res Ther 2024; 16:107. [PMID: 38734612 PMCID: PMC11088144 DOI: 10.1186/s13195-024-01474-z] [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: 11/29/2023] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND The recent development of techniques to assess plasma biomarkers has changed the way the research community envisions the future of diagnosis and management of Alzheimer's disease (AD) and other neurodegenerative disorders. This work aims to provide real world evidence on the clinical impact of plasma biomarkers in an academic tertiary care center. METHODS Anonymized clinical reports of patients diagnosed with AD or Frontotemporal Lobar Degeneration with available plasma biomarkers (Aβ42, Aβ42/Aβ40, p-tau181, p-tau231, NfL, GFAP) were independently assessed by two neurologists who expressed diagnosis and diagnostic confidence three times: (T0) at baseline based on the information collected during the first visit, (T1) after plasma biomarkers, and (T2) after traditional biomarkers (when available). Finally, we assessed whether clinicians' interpretation of plasma biomarkers and the consequent clinical impact are consistent with the final diagnosis, determined after the conclusion of the diagnostic clinical and instrumental work-up by the actual managing physicians who had complete access to all available information. RESULTS Clinicians assessed 122 reports, and their concordance ranged from 81 to 91% at the three time points. At T1, the presentation of plasma biomarkers resulted in a change of diagnosis in 2% (2/122, p = 1.00) of cases, and in increased diagnostic confidence in 76% (91/120, p < 0.001) of cases with confirmed diagnosis. The change in diagnosis and the increase in diagnostic confidence after plasma biomarkers were consistent with the final diagnosis in 100% (2/2) and 81% (74/91) of cases, respectively. At T2, the presentation of traditional biomarkers resulted in a further change of diagnosis in 13% (12/94, p = 0.149) of cases, and in increased diagnostic confidence in 88% (72/82, p < 0.001) of cases with confirmed diagnosis. CONCLUSIONS In an academic tertiary care center, plasma biomarkers supported clinicians by increasing their diagnostic confidence in most cases, despite a negligible impact on diagnosis. Future prospective studies are needed to assess the full potential of plasma biomarkers on clinical grounds.
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Affiliation(s)
- Daniele Altomare
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Ilenia Libri
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Antonella Alberici
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Jasmine Rivolta
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - 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, UCL, London, W1T 7NF, UK
- Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
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23
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Kang MJY, Eratne D, Wannan C, Santillo AF, Velakoulis D, Pantelis C, Cropley V. Plasma neurofilament light chain is not elevated in people with first-episode psychosis or those at ultra-high risk for psychosis. Schizophr Res 2024; 267:269-272. [PMID: 38581830 DOI: 10.1016/j.schres.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 02/02/2024] [Accepted: 04/01/2024] [Indexed: 04/08/2024]
Abstract
INTRODUCTION Neurofilament light chain (NfL), a blood biomarker of neuronal injury, shows promise in distinguishing neurodegenerative disorders from psychiatric conditions. This is especially relevant in psychosis, given neurological conditions such as autoimmune encephalitis and Niemann Pick Type C disease (NPC) may initially present with psychotic symptoms. Whilst NfL levels have been studied in established schizophrenia cases, their levels in first-episode psychosis (FEP) and ultra-high risk (UHR) for psychosis individuals remain largely unexplored. This study aimed to compare plasma NfL in people with FEP or UHR with healthy controls, as well as explore its associations with clinical data. METHOD We retrospectively analysed plasma NfL in 63 participants, consisting of 29 individuals with FEP, 10 individuals with UHR, and 24 healthy controls. We used general linear models (GLM), which were bootstrapped, to compute bias-corrected and accelerated (BCa) 95 % confidence intervals (CIs). RESULTS Mean NfL levels were 5.2 pg/mL in FEP, 4.9 pg/mL in UHR, and 5.9 pg/mL in healthy controls. Compared to healthy controls, there were no significant differences in NfL levels in the FEP group (β = -0.22, 95 % CI [-0.86, 0.39], p = 0.516) nor UHR group (β = -0.37, 95 % CI [-0.90, 0.19], p = 0.182). There were no significant associations between NfL levels and clinical variables in the FEP group. DISCUSSION Our study is the first to demonstrate that plasma NfL levels are not significantly elevated in individuals at UHR for psychosis compared to healthy controls, a finding also observed in the FEP cohort. These findings bolster the potential diagnostic utility of NfL in differentiating between psychiatric and neurodegenerative disorders.
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Affiliation(s)
- Matthew J Y Kang
- Neuropsychiatry Centre, Royal Melbourne Hospital, Australia; Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia.
| | - Dhamidhu Eratne
- Neuropsychiatry Centre, Royal Melbourne Hospital, Australia; Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia.
| | - Cassandra Wannan
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
| | | | - Dennis Velakoulis
- Neuropsychiatry Centre, Royal Melbourne Hospital, Australia; Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia.
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia.
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia.
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24
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Johnsson M, Stenberg YT, Farman HH, Blennow K, Zetterberg H, Malmeström C, Sandgren S, Rosenstein I, Lycke J, Axelsson M, Novakova L. Serum neurofilament light for detecting disease activity in individual patients in multiple sclerosis: A 48-week prospective single-center study. Mult Scler 2024; 30:664-673. [PMID: 38481083 PMCID: PMC11071597 DOI: 10.1177/13524585241237388] [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: 12/22/2023] [Revised: 02/05/2024] [Accepted: 02/18/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Serum neurofilament light (sNfL) reflects neuroaxonal damage and is now used as an outcome in treatment trials of relapsing-remitting multiple sclerosis (RRMS). However, the diagnostic properties of sNfL for monitoring disease activity in individual patients warrant further investigations. METHOD Patients with suspected relapse and/or contrast-enhancing lesions (CELs) were consecutively included and performed magnetic resonance imaging (MRI) of the brain at baseline and weeks 28 and 48. Serum was obtained at baseline and 2, 4, 8, 16, 24, and 48 weeks. Neurofilament light concentration was measured using Single molecule array technology. RESULTS We included 44 patients, 40 with RRMS and 4 with clinically isolated syndrome. The median sNfL level peaked at 2 weeks post-baseline (14.6 ng/L, interquartile range (IQR); 9.3-31.6) and reached nadir at 48 weeks (9.1 ng/L, IQR; 5.5-15.0), equivalent to the median sNfL of controls (9.1 ng/L, IQR; 7.4-12). A baseline Z-score of more than 1.1 (area under the curve; 0.78, p < 0.0001) had a sensitivity of 81% and specificity of 70% to detect disease activity. CONCLUSION One out of five patients with relapse and/or CELs did not change significantly in post-baseline sNfL levels. The utility of repeated sNfL measurements to monitor disease activity is complementary rather than a substitute for clinical and MRI measures.
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Affiliation(s)
- M Johnsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - YT Stenberg
- Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - HH Farman
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - K Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, 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
| | - C Malmeström
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
- Laboratory for Clinical Immunology, Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - S Sandgren
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - I Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - J Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - M Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - L Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
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25
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Skarstein I, Ulvestad E, Solheim AM, Vedeler C, Ljøstad U, Mygland Å, Eikeland R, Reiso H, Lorentzen ÅR, Bos SD. Serum neurofilament light chain associates with symptom burden in Lyme neuroborreliosis patients: a longitudinal cohort study from Norway. J Neurol 2024; 271:2768-2775. [PMID: 38407594 PMCID: PMC11055709 DOI: 10.1007/s00415-024-12237-z] [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: 01/02/2024] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/27/2024]
Abstract
OBJECTIVES Serum neurofilament light chain (sNfL), an indicator of neuronal damage, is increasingly recognized as a potential biomarker for disease activity in neurodegenerative disorders. In this study, we wanted to investigate sNfL as a prognostic marker in a large, well-defined population of 90 patients with Lyme neuroborreliosis (LNB). In addition, we sought to explore associations between symptoms and sNfL levels during the acute phase of LNB. MATERIALS AND METHODS Patients diagnosed with definite or possible LNB were recruited from a double-blinded, placebo-controlled, multi-center trial, in which the participants were randomly assigned to 2 or 6 weeks of oral doxycycline treatment. The sNfL levels were measured using a single molecule array assay at both diagnosis and 6-month follow-up, and analysed against clinical parameters, variations in symptom burden and long-term complaints as assessed by a composite clinical score. RESULTS At the time of diagnosis, approximately 60% of the patients had elevated sNfL levels adjusted for age. Notably, mean sNfL levels were significantly higher at diagnosis (52 pg/ml) compared to 6 months after treatment (12 pg/ml, p < 0.001), when sNfL levels had normalized in the majority of patients. Patients with objective signs of spinal radiculitis had significantly higher baseline sNfL levels compared to patients without spinal radiculitis (p = 0.033). CONCLUSION Our findings suggest that sNfL can serve as a biomarker for peripheral nerve tissue involvement in the acute phase of LNB. As found in an earlier study, we confirm normalization of sNfL levels in blood after treatment. We found no prognostic value of acute-phase sNfL levels on patient outcome.
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Affiliation(s)
- Ingerid Skarstein
- Department of Microbiology, Haukeland University Hospital, Post Box 1400, 5021, Bergen, Norway.
- Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Elling Ulvestad
- Department of Microbiology, Haukeland University Hospital, Post Box 1400, 5021, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anne Marit Solheim
- Department of Neurology, Sørlandet Hospital Trust, Kristiansand, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Christian Vedeler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Unn Ljøstad
- Department of Neurology, Sørlandet Hospital Trust, Kristiansand, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Åse Mygland
- Department of Neurology, Sørlandet Hospital Trust, Kristiansand, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Section of Habilitation, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Randi Eikeland
- Norwegian National Advisory Unit on Tick-Borne Diseases, Sørlandet Hospital Trust, Kristiansand, Norway
- Faculty of Health and Sport Sciences, University of Agder, Grimstad, Norway
| | - Harald Reiso
- Norwegian National Advisory Unit on Tick-Borne Diseases, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Åslaug Rudjord Lorentzen
- Department of Neurology, Sørlandet Hospital Trust, Kristiansand, Norway
- Norwegian National Advisory Unit on Tick-Borne Diseases, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Steffan Daniel Bos
- Department of Microbiology, Haukeland University Hospital, Post Box 1400, 5021, Bergen, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Cancer Registry of Norway, The Norwegian Institute of Public Health, Oslo, Norway
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26
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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and 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
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, 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
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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27
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Ingannato A, Bagnoli S, Mazzeo S, Giacomucci G, Bessi V, Ferrari C, Sorbi S, Nacmias B. Plasma GFAP, NfL and pTau 181 detect preclinical stages of dementia. Front Endocrinol (Lausanne) 2024; 15:1375302. [PMID: 38654932 PMCID: PMC11035722 DOI: 10.3389/fendo.2024.1375302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Plasma biomarkers are preferable to invasive and expensive diagnostic tools, such as neuroimaging and lumbar puncture that are gold standard in the clinical management of Alzheimer's Disease (AD). Here, we investigated plasma Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light Chain (NfL) and Phosphorylated-tau-181 (pTau 181) in AD and in its early stages: Subjective cognitive decline (SCD) and Mild cognitive impairment (MCI). Material and methods This study included 152 patients (42 SCD, 74 MCI and 36 AD). All patients underwent comprehensive clinical and neurological assessment. Blood samples were collected for Apolipoprotein E (APOE) genotyping and plasma biomarker (GFAP, NfL, and pTau 181) measurements. Forty-three patients (7 SCD, 27 MCI, and 9 AD) underwent a follow-up (FU) visit after 2 years, and a second plasma sample was collected. Plasma biomarker levels were detected using the Simoa SR-X technology (Quanterix Corp.). Statistical analysis was performed using SPSS software version 28 (IBM SPSS Statistics). Statistical significance was set at p < 0.05. Results GFAP, NfL and pTau 181 levels in plasma were lower in SCD and MCI than in AD patients. In particular, plasma GFAP levels were statistically significant different between SCD and AD (p=0.003), and between MCI and AD (p=0.032). Plasma NfL was different in SCD vs MCI (p=0.026), SCD vs AD (p<0.001), SCD vs AD FU (p<0.001), SCD FU vs AD (p=0.033), SCD FU vs AD FU (p=0.011), MCI vs AD (p=0.002), MCI FU vs AD (p=0.003), MCI FU vs AD FU (p=0.003) and MCI vs AD FU (p=0.003). Plasma pTau 181 concentration was significantly different between SCD and AD (p=0.001), MCI and AD (p=0.026), MCI FU and AD (p=0.020). In APOE ϵ4 carriers, a statistically significant increase in plasma NfL (p<0.001) and pTau 181 levels was found (p=0.014). Moreover, an association emerged between age at disease onset and plasma GFAP (p = 0.021) and pTau181 (p < 0.001) levels. Discussion and conclusions Plasma GFAP, NfL and pTau 181 are promising biomarkers in the diagnosis of the prodromic stages and prognosis of dementia.
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Affiliation(s)
- Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Salvatore Mazzeo
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Donato, San Donato Milanese, Italy
| | - Giulia Giacomucci
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Valentina Bessi
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
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28
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Gonzalez-Ortiz F, Kirsebom BE, Contador J, Tanley JE, Selnes P, Gísladóttir B, Pålhaugen L, Suhr Hemminghyth M, Jarholm J, Skogseth R, Bråthen G, Grøndtvedt G, Bjørnerud A, Tecelao S, Waterloo K, Aarsland D, Fernández-Lebrero A, García-Escobar G, Navalpotro-Gómez I, Turton M, Hesthamar A, Kac PR, Nilsson J, Luchsinger J, Hayden KM, Harrison P, Puig-Pijoan A, Zetterberg H, Hughes TM, Suárez-Calvet M, Karikari TK, Fladby T, Blennow K. Plasma brain-derived tau is an amyloid-associated neurodegeneration biomarker in Alzheimer's disease. Nat Commun 2024; 15:2908. [PMID: 38575616 PMCID: PMC10995141 DOI: 10.1038/s41467-024-47286-5] [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: 08/09/2023] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
Staging amyloid-beta (Aβ) pathophysiology according to the intensity of neurodegeneration could identify individuals at risk for cognitive decline in Alzheimer's disease (AD). In blood, phosphorylated tau (p-tau) associates with Aβ pathophysiology but an AD-type neurodegeneration biomarker has been lacking. In this multicenter study (n = 1076), we show that brain-derived tau (BD-tau) in blood increases according to concomitant Aβ ("A") and neurodegeneration ("N") abnormalities (determined using cerebrospinal fluid biomarkers); We used blood-based A/N biomarkers to profile the participants in this study; individuals with blood-based p-tau+/BD-tau+ profiles had the fastest cognitive decline and atrophy rates, irrespective of the baseline cognitive status. Furthermore, BD-tau showed no or much weaker correlations with age, renal function, other comorbidities/risk factors and self-identified race/ethnicity, compared with other blood biomarkers. Here we show that blood-based BD-tau is a biomarker for identifying Aβ-positive individuals at risk of short-term cognitive decline and atrophy, with implications for clinical trials and implementation of anti-Aβ therapies.
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Affiliation(s)
- Fernando Gonzalez-Ortiz
- 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.
| | - Bjørn-Eivind Kirsebom
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - José Contador
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
| | - Jordan E Tanley
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | | | - Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Mathilde Suhr Hemminghyth
- Research Group for Age-Related Medicine, Haugesund Hospital, Haugesund, Norway
- Department of Neuropsychology, Haugesund Hospital, Haugesund, Norway
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Jonas Jarholm
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Ragnhild Skogseth
- Department of Geriatric Medicine, Haraldsplass Deaconess Hospital, Bergen, Norway
- Department of Clinical Sciences, Faculty of Medicine, University of Bergen, Bergen, Norway
| | - Geir Bråthen
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gøril Grøndtvedt
- Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Atle Bjørnerud
- Department of Physics, University of Oslo, Oslo, Norway
- Unit for Computational Radiology and Artificial Intelligence, Oslo University hospital, Oslo, Norway
- Department of Psychology, Faculty for Social Sciences, University of Oslo, Oslo, Norway
| | - Sandra Tecelao
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Knut Waterloo
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
- Department of Psychology, Faculty of Health Sciences, The Arctic University of Norway, Tromsø, Norway
| | - Dag Aarsland
- Department of Old Age Psychiatry. Institute of psychiatry, Psychology and Neuroscience King's College London, London, UK
- Centre for Age-Related Diseases, University Hospital Stavanger, Stavanger, Norway
| | - Aida Fernández-Lebrero
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, 08003, Spain
- ERA-Net on Cardiovascular Diseases (ERA-CVD) consortium, Barcelona, Spain
| | - Greta García-Escobar
- Hospital del Mar Research Institute, Barcelona, Spain
- ERA-Net on Cardiovascular Diseases (ERA-CVD) consortium, Barcelona, Spain
| | - Irene Navalpotro-Gómez
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- ERA-Net on Cardiovascular Diseases (ERA-CVD) consortium, Barcelona, Spain
| | - Michael Turton
- Bioventix Plc, 7 Romans Business Park, East Street, Farnham, Surrey, GU9 7SX, UK
| | - Agnes Hesthamar
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Przemyslaw R Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Johanna Nilsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Jose Luchsinger
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kathleen M Hayden
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Peter Harrison
- Bioventix Plc, 7 Romans Business Park, East Street, Farnham, Surrey, GU9 7SX, UK
| | - Albert Puig-Pijoan
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- ERA-Net on Cardiovascular Diseases (ERA-CVD) consortium, Barcelona, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - 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
| | - Timothy M Hughes
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - 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
| | - Tormod Fladby
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - 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
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29
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Ollila H, Pihlajamaa J, Martola J, Kuusela L, Blennow K, Zetterberg H, Salmela V, Hokkanen L, Tiainen M, Hästbacka J. Brain magnetic resonance imaging findings six months after critical COVID-19: A prospective cohort study. J Crit Care 2024; 80:154502. [PMID: 38113746 DOI: 10.1016/j.jcrc.2023.154502] [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: 03/08/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND COVID-19 patients suffered from neurological symptoms in the acute phase. Whether this led to long-term consequences was unknown. We studied long-term brain MRI findings in ICU-treated COVID-19 patients and compared them with findings in groups with less severe acute disease. MATERIALS AND METHODS In this prospective cohort study, 69 ICU-treated, 46 ward-treated, and 46 home-isolated patients, as well as 53 non-COVID-19 controls, underwent brain MRI six months after acute COVID-19. Plasma neurofilament light chain (NfL), a biomarker of neuroaxonal injury, was measured simultaneously. RESULTS Ischaemic infarctions existed in 5.8% of ICU-treated patients. Cerebral microbleeds (CMBs) existed in 27 (39.1%) ICU-treated, 13 (28.3%) ward-treated, 8 (17.4%) home-isolated COVID-19 patients, and 12 (22.6%) non-COVID controls. Patients with CMBs were older (p < 0.001), had a higher level of plasma NfL (p = 0.003), and higher supplementary oxygen days (p < 0.001). In multivariable analysis, age (OR 1.06, 95% CI 1.02-1.09) and supplementary oxygen days (OR 1.07, 95% CI 1.02-1.13) were associated with CMBs. The ICU group showed prevalent distribution of CMBs in deep regions. CONCLUSION Age and supplementary oxygen days were independently associated with CMBs; COVID-19 status showed no association. Accumulation of risk factors in the ICU group may explain the higher prevalence of CMBs. TRIAL REGISTRATION ClinicalTrials.govNCT04864938, registered February 9, 2021.
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Affiliation(s)
- Henriikka Ollila
- Department of Perioperative, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
| | - Janne Pihlajamaa
- HUS Medical Imaging Centre, Radiology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Juha Martola
- HUS Medical Imaging Centre, Radiology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Linda Kuusela
- HUS Medical Imaging Centre, Radiology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - 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
| | - 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; UW Department of Medicine, School of Medicine and Public Health, Madison, WI, USA
| | - Viljami Salmela
- Department of Psychology and Logopaedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Laura Hokkanen
- Department of Psychology and Logopaedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Marjaana Tiainen
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Johanna Hästbacka
- Department of Perioperative, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
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30
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Lista S, Mapstone M, Caraci F, Emanuele E, López-Ortiz S, Martín-Hernández J, Triaca V, Imbimbo C, Gabelle A, Mielke MM, Nisticò R, Santos-Lozano A, Imbimbo BP. A critical appraisal of blood-based biomarkers for Alzheimer's disease. Ageing Res Rev 2024; 96:102290. [PMID: 38580173 DOI: 10.1016/j.arr.2024.102290] [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: 11/13/2023] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/07/2024]
Abstract
Biomarkers that predict the clinical onset of Alzheimer's disease (AD) enable the identification of individuals in the early, preclinical stages of the disease. Detecting AD at this point may allow for more effective therapeutic interventions and optimized enrollment for clinical trials of novel drugs. The current biological diagnosis of AD is based on the AT(N) classification system with the measurement of brain deposition of amyloid-β (Aβ) ("A"), tau pathology ("T"), and neurodegeneration ("N"). Diagnostic cut-offs for Aβ1-42, the Aβ1-42/Aβ1-40 ratio, tau and hyperphosphorylated-tau concentrations in cerebrospinal fluid have been defined and may support AD clinical diagnosis. Blood-based biomarkers of the AT(N) categories have been described in the AD continuum. Cross-sectional and longitudinal studies have shown that the combination of blood biomarkers tracking neuroaxonal injury (neurofilament light chain) and neuroinflammatory pathways (glial fibrillary acidic protein) enhance sensitivity and specificity of AD clinical diagnosis and improve the prediction of AD onset. However, no international accepted cut-offs have been identified for these blood biomarkers. A kit for blood Aβ1-42/Aβ1-40 is commercially available in the U.S.; however, it does not provide a diagnosis, but simply estimates the risk of developing AD. Although blood-based AD biomarkers have a great potential in the diagnostic work-up of AD, they are not ready for the routine clinical use.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA.
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania 95125, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, Troina 94018, Italy.
| | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome 00015, Italy.
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy.
| | - Audrey Gabelle
- Memory Resources and Research Center, Montpellier University of Excellence i-site, Montpellier 34295, France.
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome 00133, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome 00143, Italy.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain; Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid 28041, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma 43122, Italy.
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31
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Huber H, Blennow K, Zetterberg H, Boada M, Jeromin A, Weninger H, Nuñez‐Llaves R, Aguilera N, Ramis M, Simrén J, Nilsson J, Lantero‐Rodriguez J, Orellana A, García‐Gutiérrez F, Morató X, Ashton NJ, Montoliu‐Gaya L. Biomarkers of Alzheimer's disease and neurodegeneration in dried blood spots-A new collection method for remote settings. Alzheimers Dement 2024; 20:2340-2352. [PMID: 38284555 PMCID: PMC11032540 DOI: 10.1002/alz.13697] [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: 09/27/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND We aimed to evaluate the precision of Alzheimer's disease (AD) and neurodegeneration biomarker measurements from venous dried plasma spots (DPSv enous) for the diagnosis and monitoring of neurodegenerative diseases in remote settings. METHODS In a discovery (n = 154) and a validation cohort (n = 115), glial fibrillary acidic protein (GFAP); neurofilament light (NfL); amyloid beta (Aβ) 40, Aβ42; and phosphorylated tau (p-tau181 and p-tau217) were measured in paired DPSvenous and ethylenediaminetetraacetic acid plasma samples with single-molecule array. In the validation cohort, a subset of participants (n = 99) had cerebrospinal fluid (CSF) biomarkers. RESULTS All DPSvenous and plasma analytes correlated significantly, except for Aβ42. In the validation cohort, DPSvenous GFAP, NfL, p-tau181, and p-tau217 differed between CSF Aβ-positive and -negative individuals and were associated with worsening cognition. DISCUSSION Our data suggest that measuring blood biomarkers related to AD pathology and neurodegeneration from DPSvenous extends the utility of blood-based biomarkers to remote settings with simplified sampling conditions, storage, and logistics. HIGHLIGHTS A wide array of biomarkers related to Alzheimer's disease (AD) and neurodegeneration were detectable in dried plasma spots (DPSvenous). DPSvenous biomarkers correlated with standard procedures and cognitive status. DPSvenous biomarkers had a good diagnostic accuracy discriminating amyloid status. Our findings show the potential interchangeability of DPSvenous and plasma sampling. DPSvenous may facilitate remote and temperature-independent sampling for AD biomarker measurement. Innovative tools for blood biomarker sampling may help recognizing the earliest changes of AD.
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Affiliation(s)
- Hanna Huber
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteUCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Mercé Boada
- Networking Research Center on Neurodegenerative Diseases (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | | | - Haley Weninger
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Raul Nuñez‐Llaves
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Núria Aguilera
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Maribel Ramis
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Joel Simrén
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Johanna Nilsson
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Juan Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Adelina Orellana
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | | | - Xavier Morató
- Networking Research Center on Neurodegenerative Diseases (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Laia Montoliu‐Gaya
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
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32
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Stukas S, Cooper J, Higgins V, Holmes D, Adeli K, Wellington CL. Pediatric reference intervals for serum neurofilament light and glial fibrillary acidic protein using the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort. Clin Chem Lab Med 2024; 62:698-705. [PMID: 37882772 PMCID: PMC10895925 DOI: 10.1515/cclm-2023-0660] [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: 06/27/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVES Blood biomarkers have the potential to transform diagnosis and prognosis for multiple neurological indications. Establishing normative data is a critical benchmark in the analytical validation process. Normative data are important in children as little is known about how brain development may impact potential biomarkers. The objective of this study is to generate pediatric reference intervals (RIs) for serum neurofilament light (NfL), an axonal marker, and glial fibrillary acidic protein (GFAP), an astrocytic marker. METHODS Serum from healthy children and adolescents aged 1 to <19 years were obtained from the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort. Serum NfL (n=300) and GFAP (n=316) were quantified using Simoa technology, and discrete RI (2.5th and 97.5th percentiles) and continuous RI (5th and 95th percentiles) were generated. RESULTS While there was no association with sex, there was a statistically significant (p<0.0001) negative association between age and serum NfL (Rho -0.400) and GFAP (Rho -0.749). Two statistically significant age partitions were generated for NfL: age 1 to <10 years (lower, upper limit; 3.13, 20.6 pg/mL) and 10 to <19 years (1.82, 7.44 pg/mL). For GFAP, three statistically significant age partitions were generated: age 1 to <3.5 years (80.4, 601 pg/mL); 3.5 to <11 years (50.7, 224 pg/mL); and 11 to <19 years (26.2, 119 pg/mL). CONCLUSIONS Taken together with the literature on adults, NfL and GFAP display U-shaped curves with high levels in infants, decreasing levels during childhood, a plateau during adolescence and early adulthood and increasing levels in seniors. These normative data are expected to inform future pediatric studies on the importance of age on neurological blood biomarkers.
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Affiliation(s)
- Sophie Stukas
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jennifer Cooper
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Victoria Higgins
- CALIPER Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Daniel Holmes
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, Providence Health, Vancouver, BC, Canada
| | - Khosrow Adeli
- CALIPER Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Cheryl L. Wellington
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries (ICORD), Blusson Spinal Cord Center, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering (SBME), University of British Columbia, Vancouver, BC, Canada
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Miller MW, Wolf EJ, Zhao X, Logue MW, Hawn SE. An EWAS of dementia biomarkers and their associations with age, African ancestry, and PTSD. Clin Epigenetics 2024; 16:38. [PMID: 38431614 PMCID: PMC10908031 DOI: 10.1186/s13148-024-01649-3] [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: 09/20/2023] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Large-scale cohort and epidemiological studies suggest that PTSD confers risk for dementia in later life but the biological mechanisms underlying this association remain unknown. This study examined this question by assessing the influences of PTSD, APOE ε4 genotypes, DNA methylation, and other variables on the age- and dementia-associated biomarkers Aβ40, Aβ42, GFAP, NfL, and pTau-181 measured in plasma. Our primary hypothesis was that PTSD would be associated with elevated levels of these markers. METHODS Analyses were based on data from a PTSD-enriched cohort of 849 individuals. We began by performing factor analyses of the biomarkers, the results of which identified a two-factor solution. Drawing from the ATN research framework, we termed the first factor, defined by Aβ40 and Aβ42, "Factor A" and the second factor, defined by GFAP, NfL and pTau-181, "Factor TN." Next, we performed epigenome-wide association analyses (EWAS) of the two-factor scores. Finally, using structural equation modeling (SEM), we evaluated (a) the influence of PTSD, age, APOE ε4 genotype and other covariates on levels of the ATN factors, and (b) tested the mediating influence of the EWAS-significant DNAm loci on these associations. RESULTS The Factor A EWAS identified one significant locus, cg13053408, in FANCD2OS. The Factor TN analysis identified 3 EWAS-significant associations: cg26033520 near ASCC1, cg23156469 in FAM20B, and cg15356923 in FAM19A4. The SEM showed age to be related to both factors, more so with Factor TN (β = 0.581, p < 0.001) than Factor A (β = 0.330, p < 0.001). Genotype-determined African ancestry was associated with lower Factor A (β = 0.196, p < 0.001). Contrary to our primary hypothesis, we found a modest negative bivariate correlation between PTSD and the TN factor scores (r = - 0.133, p < 0.001) attributable primarily to reduced levels of GFAP (r = - 0.128, p < 0.001). CONCLUSIONS This study identified novel epigenetic associations with ATN biomarkers and demonstrated robust age and ancestral associations that will be essential to consider in future efforts to develop the clinical applications of these tests. The association between PTSD and reduced GFAP, which has been reported previously, warrants further investigation.
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Affiliation(s)
- Mark W Miller
- National Center for PTSD, VA Boston Healthcare System (116B-2), 150 S. Huntington Avenue, Boston, MA, 02130, USA.
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA.
| | - Erika J Wolf
- National Center for PTSD, VA Boston Healthcare System (116B-2), 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Xiang Zhao
- National Center for PTSD, VA Boston Healthcare System (116B-2), 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Mark W Logue
- National Center for PTSD, VA Boston Healthcare System (116B-2), 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Biomedical Genetics, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Sage E Hawn
- National Center for PTSD, VA Boston Healthcare System (116B-2), 150 S. Huntington Avenue, Boston, MA, 02130, USA
- Department of Psychology, Old Dominion University, Norfolk, VA, 23529, USA
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Suchy‐Dicey AM, Longstreth WT, Rhoads K, Umans J, Buchwald D, Grabowski T, Blennow K, Reiman E, Zetterberg H. Plasma biomarkers of Alzheimer's disease and related dementias in American Indians: The Strong Heart Study. Alzheimers Dement 2024; 20:2072-2079. [PMID: 38215191 PMCID: PMC10984473 DOI: 10.1002/alz.13664] [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: 11/16/2023] [Accepted: 12/04/2023] [Indexed: 01/14/2024]
Abstract
INTRODUCTION Identification of Alzheimer's disease (AD) needs inexpensive, noninvasive biomarkers, with validation in all populations. METHODS We collected plasma markers in older American Indian individuals: phosphorylated-tau181 (pTau181); amyloid-beta (Aβ) 40,42; glial fibrillary acidic protein (GFAP); and neurofilament light chain (NfL). Plasma markers were analyzed for discriminant properties with cognitive status and etiology using receiver operating characteristic (ROC) analysis. RESULTS PTau181, GFAP, NfL plasma values were significantly associated with cognition, but Aβ were not. Discriminant performance was moderate for individual markers, with pTau181, GFAP, NfL performing best, but an empirically selected panel of markers (age, sex, education, pTau181, GFAP, NfL, Aβ4240 ratio) had excellent discriminant performance (AUC > 0.8). DISCUSSION In American Indian individuals, pTau181 and Aβ values suggested more common pathology than in majority populations. Aβ was less informative than in other populations; however, all four markers were needed for a best-performing dementia diagnostic model. These data validate utility of AD plasma markers, while suggesting population-specific diagnostic characteristics.
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Affiliation(s)
- Astrid M. Suchy‐Dicey
- Washington State University Elson S Floyd College of MedicineSpokaneWashingtonUSA
- Huntington Medical Research InstitutesPasadenaCaliforniaUSA
- Washington State University Institute for Research and Education to Address Community HealthSeattleWashingtonUSA
- University of Washington Alzheimer's Disease Research CenterSeattleWashingtonUSA
| | - W. T. Longstreth
- Department of NeurologyUniversity of WashingtonSeattleWashingtonUSA
| | - Kristoffer Rhoads
- University of Washington Alzheimer's Disease Research CenterSeattleWashingtonUSA
- Department of NeurologyUniversity of WashingtonSeattleWashingtonUSA
| | - Jason Umans
- MedStar Health Research InstituteHyattsvilleMarylandUSA
| | - Dedra Buchwald
- Washington State University Institute for Research and Education to Address Community HealthSeattleWashingtonUSA
| | - Thomas Grabowski
- University of Washington Alzheimer's Disease Research CenterSeattleWashingtonUSA
- Department of NeurologyUniversity of WashingtonSeattleWashingtonUSA
| | - Kaj Blennow
- Institute of Neuroscience and Physiologythe Sahlgrenska Academy at University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Eric Reiman
- Banner Alzheimer's InstitutePhoenixArizonaUSA
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiologythe Sahlgrenska Academy at University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
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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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Brum WS, Ashton NJ, Simrén J, di Molfetta G, Karikari TK, Benedet AL, Zimmer ER, Lantero‐Rodriguez J, Montoliu‐Gaya L, Jeromin A, Aarsand AK, Bartlett WA, Calle PF, Coşkun A, Díaz–Garzón J, Jonker N, Zetterberg H, Sandberg S, Carobene A, Blennow K. Biological variation estimates of Alzheimer's disease plasma biomarkers in healthy individuals. Alzheimers Dement 2024; 20:1284-1297. [PMID: 37985230 PMCID: PMC10916965 DOI: 10.1002/alz.13518] [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: 08/24/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 11/22/2023]
Abstract
INTRODUCTION Blood biomarkers have proven useful in Alzheimer's disease (AD) research. However, little is known about their biological variation (BV), which improves the interpretation of individual-level data. METHODS We measured plasma amyloid beta (Aβ42, Aβ40), phosphorylated tau (p-tau181, p-tau217, p-tau231), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) in plasma samples collected weekly over 10 weeks from 20 participants aged 40 to 60 years from the European Biological Variation Study. We estimated within- (CVI ) and between-subject (CVG ) BV, analytical variation, and reference change values (RCV). RESULTS Biomarkers presented considerable variability in CVI and CVG . Aβ42/Aβ40 had the lowest CVI (≈ 3%) and p-tau181 the highest (≈ 16%), while others ranged from 6% to 10%. Most RCVs ranged from 20% to 30% (decrease) and 25% to 40% (increase). DISCUSSION BV estimates for AD plasma biomarkers can potentially refine their clinical and research interpretation. RCVs might be useful for detecting significant changes between serial measurements when monitoring early disease progression or interventions. Highlights Plasma amyloid beta (Aβ42/Aβ40) presents the lowest between- and within-subject biological variation, but also changes the least in Alzheimer's disease (AD) patients versus controls. Plasma phosphorylated tau variants significantly vary in their within-subject biological variation, but their substantial fold-changes in AD likely limits the impact of their variability. Plasma neurofilament light chain and glial fibrillary acidic protein demonstrate high between-subject variation, the impact of which will depend on clinical context. Reference change values can potentially be useful in monitoring early disease progression and the safety/efficacy of interventions on an individual level. Serial sampling revealed that unexpectedly high values in heathy individuals can be observed, which urges caution when interpreting AD plasma biomarkers based on a single test result.
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Affiliation(s)
- Wagner S. Brum
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Department of BiochemistryUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- King's College London, Institute of PsychiatryPsychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS FoundationLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Guiglielmo di Molfetta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Thomas K. Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Andrea L. Benedet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Eduardo R. Zimmer
- Department of BiochemistryUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
- Department of PharmacologyUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
- Graduate Program in Biological SciencesUniversidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
- McGill Centre for Studies in AgingMcGill UniversityVerdunQuebecCanada
| | - Juan Lantero‐Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | - Laia Montoliu‐Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
| | | | - Aasne K. Aarsand
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- The Norwegian Organization for Quality Improvement of Laboratory Examinations (NOKLUS)Haraldsplass Deaconess HospitalBergenNorway
| | - William A. Bartlett
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- School of Science and EngineeringUniversity of DundeeDundeeUK
| | - Pilar Fernández Calle
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- Department of Laboratory MedicineLa Paz University HospitalMadridSpain
| | - Abdurrahman Coşkun
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- School of Medicine, Department of Medical BiochemistryAcibadem Mehmet Ali Aydınlar UniversityIstanbulTurkey
| | - Jorge Díaz–Garzón
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- Department of Laboratory MedicineLa Paz University HospitalMadridSpain
| | - Niels Jonker
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- CerteWilhelmina Ziekenhuis AssenAssenthe Netherlands
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research Institute at UCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public HealthUniversity of Wisconsin–MadisonMadisonWisconsinUSA
| | - Sverre Sandberg
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- The Norwegian Organization for Quality Improvement of Laboratory Examinations (NOKLUS)Haraldsplass Deaconess HospitalBergenNorway
- Department of Global Health and Primary Care, Faculty of MedicineUniversity of BergenBergenNorway
| | - Anna Carobene
- European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological VariationMilanItaly
- Laboratory MedicineIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and PhysiologyThe Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
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Presterud R, Deng WH, Wennerström AB, Burgers T, Gajera B, Mattsson K, Solberg A, Fang EF, Nieminen AI, Stray-Pedersen A, Nilsen H. Long-Term Nicotinamide Riboside Use Improves Coordination and Eye Movements in Ataxia Telangiectasia. Mov Disord 2024; 39:360-369. [PMID: 37899683 DOI: 10.1002/mds.29645] [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: 06/01/2023] [Revised: 09/25/2023] [Accepted: 10/10/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Supplementation of nicotinamide riboside (NR) ameliorates neuropathology in animal models of ataxia telangiectasia (A-T). In humans, short-term NR supplementation showed benefits in neurological outcome. OBJECTIVES The study aimed to investigate the safety and benefits of long-term NR supplementation in individuals with A-T. METHODS A single-arm, open-label clinical trial was performed in individuals with A-T, receiving NR over a period of 2 years. Biomarkers and clinical examinations were used to assess safety parameters. Standardized and validated neuromotor tests were used to monitor changes in neurological symptoms. Using generalized mixed models, test results were compared to expected disease progression based on historical data. RESULTS NAD+ concentrations increased rapidly in peripheral blood and stabilized at a higher level than baseline. NR supplementation was well tolerated for most participants. The total scores in the neuromotor test panels, as evaluated at the 18-month time point, improved for all but one participant, primarily driven by improvements in coordination subscores and eye movements. A comparison with historical data revealed that the progression of certain neuromotor symptoms was slower than anticipated. CONCLUSIONS Long-term use of NR appears to be safe and well tolerated, and it improves motor coordination and eye movements in patients with A-T of all ages. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
| | - Wei Hai Deng
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology (OCBE), University of Oslo, Oslo, Norway
| | - Anna Berit Wennerström
- Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, Nordbyhagen, Norway
| | - Trudy Burgers
- Habilitation Unit, Sanderud, Innlandet Hospital Trust, Brumunddal, Norway
| | - Bharat Gajera
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Kirsten Mattsson
- Habilitation Unit, Sanderud, Innlandet Hospital Trust, Brumunddal, Norway
| | - Agnes Solberg
- Habilitation Unit, Sanderud, Innlandet Hospital Trust, Brumunddal, Norway
| | - Evandro F Fang
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, Nordbyhagen, Norway
- The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway
| | - Anni I Nieminen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Asbjørg Stray-Pedersen
- Habilitation Unit, Sanderud, Innlandet Hospital Trust, Brumunddal, Norway
- Norwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Hilde Nilsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, Nordbyhagen, Norway
- The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway
- Department of Microbiology, Oslo University Hospital, Oslo, Norway
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Kang MJY, Eratne D, Dobson H, Malpas CB, Keem M, Lewis C, Grewal J, Tsoukra V, Dang C, Mocellin R, Kalincik T, Santillo AF, Zetterberg H, Blennow K, Stehmann C, Varghese S, Li QX, Masters CL, Collins S, Berkovic SF, Evans A, Kelso W, Farrand S, Loi SM, Walterfang M, Velakoulis D. Cerebrospinal fluid neurofilament light predicts longitudinal diagnostic change in patients with psychiatric and neurodegenerative disorders. Acta Neuropsychiatr 2024; 36:17-28. [PMID: 37114460 DOI: 10.1017/neu.2023.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
OBJECTIVE People with neuropsychiatric symptoms often experience delay in accurate diagnosis. Although cerebrospinal fluid neurofilament light (CSF NfL) shows promise in distinguishing neurodegenerative disorders (ND) from psychiatric disorders (PSY), its accuracy in a diagnostically challenging cohort longitudinally is unknown. METHODS We collected longitudinal diagnostic information (mean = 36 months) from patients assessed at a neuropsychiatry service, categorising diagnoses as ND/mild cognitive impairment/other neurological disorders (ND/MCI/other) and PSY. We pre-specified NfL > 582 pg/mL as indicative of ND/MCI/other. RESULTS Diagnostic category changed from initial to final diagnosis for 23% (49/212) of patients. NfL predicted the final diagnostic category for 92% (22/24) of these and predicted final diagnostic category overall (ND/MCI/other vs. PSY) in 88% (187/212), compared to 77% (163/212) with clinical assessment alone. CONCLUSIONS CSF NfL improved diagnostic accuracy, with potential to have led to earlier, accurate diagnosis in a real-world setting using a pre-specified cut-off, adding weight to translation of NfL into clinical practice.
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Affiliation(s)
- Matthew J Y Kang
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Hannah Dobson
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Charles B Malpas
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Michael Keem
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Courtney Lewis
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Jasleen Grewal
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Vivian Tsoukra
- Department of Neurology, Evangelismos Hospital, Athens, Greece
| | - Christa Dang
- National Ageing Research Institute, University of Melbourne, Parkville, VIC, Australia
| | | | - Tomas Kalincik
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Alexander F Santillo
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmo, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, 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
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Christiane Stehmann
- The Australian National CJD Registry, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Shiji Varghese
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Qiao-Xin Li
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Colin L Masters
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Steven Collins
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Samuel F Berkovic
- Department of Medicine, Austin Health, Epilepsy Research Centre, The University of Melbourne, Heidelberg, VIC, Australia
| | - Andrew Evans
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Wendy Kelso
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Sarah Farrand
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Samantha M Loi
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Mark Walterfang
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Dennis Velakoulis
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
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Benatar M, Ostrow LW, Lewcock JW, Bennett F, Shefner J, Bowser R, Larkin P, Bruijn L, Wuu J. Biomarker Qualification for Neurofilament Light Chain in Amyotrophic Lateral Sclerosis: Theory and Practice. Ann Neurol 2024; 95:211-216. [PMID: 38110839 PMCID: PMC10842825 DOI: 10.1002/ana.26860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/20/2023]
Abstract
OBJECTIVE To explore whether the utility of neurofilament light chain (NfL), as a biomarker to aid amyotrophic lateral sclerosis (ALS) therapy development, would be enhanced by obtaining formal qualification from the US Food and Drug Administration for a defined context-of-use. METHODS Consensus discussion among academic, industry, and patient advocacy group representatives. RESULTS A wealth of scientific evidence supports the use of NfL as a prognostic, response, and potential safety biomarker in the broad ALS population, and as a risk/susceptibility biomarker among the subset of SOD1 pathogenic variant carriers. Although NfL has not yet been formally qualified for any of these contexts-of-use, the US Food and Drug Administration has provided accelerated approval for an SOD1-lowering antisense oligonucleotide, based partially on the recognition that a reduction in NfL is reasonably likely to predict a clinical benefit. INTERPRETATION The increasing incorporation of NfL into ALS therapy development plans provides evidence that its utility-as a prognostic, response, risk/susceptibility, and/or safety biomarker-is already widely accepted by the community. The willingness of the US Food and Drug Administration to base regulatory decisions on rigorous peer-reviewed data-absent formal qualification, leads us to conclude that formal qualification, despite some benefits, is not essential for ongoing and future use of NfL as a tool to aid ALS therapy development. Although the balance of considerations for and against seeking NfL biomarker qualification will undoubtedly vary across different diseases and contexts-of-use, the robustness of the published data and careful deliberations of the ALS community may offer valuable insights for other disease communities grappling with the same issues. ANN NEUROL 2024;95:211-216.
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Affiliation(s)
- Michael Benatar
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Lyle W Ostrow
- Department of Neurology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
- CReATe Biomarkers External Advisory Committee
| | - Joseph W Lewcock
- CReATe Biomarkers External Advisory Committee
- Denali Therapeutics, South San Francisco, CA, USA
| | - Frank Bennett
- CReATe Biomarkers External Advisory Committee
- Ionis Pharmaceuticals, Carlsbad, CA, USA
| | - Jeremy Shefner
- CReATe Biomarkers External Advisory Committee
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Robert Bowser
- CReATe Biomarkers External Advisory Committee
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, USA
| | | | - Lucie Bruijn
- CReATe Biomarkers External Advisory Committee
- Novartis Pharmaceuticals UK, London, UK
| | - Joanne Wuu
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
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Vlasakova K, Tsuchiya T, Garfinkel IN, Ruth MP, Tyszkiewicz C, Detwiler TJ, Somps CJ, Di Cesare Mannelli L, Glaab WE. Performance of biomarkers NF-L, NSE, Tau and GFAP in blood and cerebrospinal fluid in rat for the detection of nervous system injury. Front Neurosci 2024; 17:1285359. [PMID: 38292901 PMCID: PMC10824906 DOI: 10.3389/fnins.2023.1285359] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/26/2023] [Indexed: 02/01/2024] Open
Abstract
Background Target organ toxicity is often a reason for attritions in nonclinical and clinical drug development. Leveraging emerging safety biomarkers in nonclinical studies provides an opportunity to monitor such toxicities early and efficiently, potentially translating to early clinical trials. As a part of the European Union's Innovative Medicines Initiative (IMI), two projects have focused on evaluating safety biomarkers of nervous system (NS) toxicity: Translational Safety Biomarker Pipeline (TransBioLine) and Neurotoxicity De-Risking in Preclinical Drug Discovery (NeuroDeRisk). Methods Performance of fluid-based NS injury biomarker candidates neurofilament light chain (NF-L), glial fibrillary acidic protein (GFAP), neuron specific enolase (NSE) and total Tau in plasma and cerebrospinal fluid (CSF) was evaluated in 15 rat in vivo studies. Model nervous system toxicants as well as other compounds were used to evaluate sensitivity and specificity. Histopathologic assessments of nervous tissues and behavioral observations were conducted to detect and characterize NS injuries. Receiver operator characteristic (ROC) curves were generated to compare the relative performance of the biomarkers in their ability to detect NS injury. Results NF-L was the best performer in detecting both peripheral nervous system (PNS) and CNS injury in plasma, (AUC of 0.97-0.99; respectively). In CSF, Tau correlated the best with CNS (AUC 0.97), but not PNS injury. NSE and GFAP were suitable for monitoring CNS injury, but with lesser sensitivity. In summary, NF-L is a sensitive and specific biomarker in rats for detecting compound-induced central and peripheral NS injuries. While NF-L measurement alone cannot inform the site of the injury, addition of biomarkers like Tau and NSE and analysis in both blood and CSF can provide additional information about the origin of the NS injury. Conclusion These results demonstrate the utility of emerging safety biomarkers of drug-induced NS injury in rats and provide additional supporting evidence for biomarker translation across species and potential use in clinical settings to monitor drug-induced NS injury in patients.
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Affiliation(s)
| | | | | | | | | | | | | | - Lorenzo Di Cesare Mannelli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
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Johnsson M, Zetterberg H, Blennow K, Lindberg C. Clinical stage and plasma neurofilament concentration in adults with Friedreich ataxia. Heliyon 2024; 10:e23347. [PMID: 38163227 PMCID: PMC10755300 DOI: 10.1016/j.heliyon.2023.e23347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 08/22/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024] Open
Abstract
Objectives Friedreich Ataxia (FRDA) is the most common recessive ataxia disorder. Yet, little is known of the prevalence in Sweden. In the future, there may be effective disease-modifying therapies, and use of clinical rating scales as well as possible biomarkers in serum or cerebrospinal fluid may be of importance. We evaluated the axonal protein neurofilament light in plasma (p-NfL) as a possible biomarker for disease severity in FRDA. Materials & methods We searched for all possible genetically confirmed FRDA cases in the Västra Götaland Region (VGR) of Sweden, and investigated each patient clinically and obtained blood sample for analysis of p-NfL. Results We found eight patients corresponding to 1/170.000 adults in the VGR, and 5 of these participated in the study. Three out of the five FRDA patients displayed a small or moderate increase in the p-NfL value, compared to the age-adjusted cut-offs for p-NfL established in the Clinical Neurochemistry Laboratory at our hospital. The two others were the oldest and most severely affected, displayed normal values according the cut-off values. The cohort is too small to make any statistically significant correlation between the five p-NfL values with regard to disease severity. Conclusions FRDA is less prevalent in our region of Sweden than could be assumed. In concordance with previous studies from other authors, we find that p-NfL may be increased in patients with FRDA, but less so in older more clinically affected patients. Thus, we conclude that on an individual basis, p-NFL is of uncertain clinical value as a suitable biomarker.
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Affiliation(s)
- Magnus Johnsson
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, 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, 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
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [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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Morris JK, Kueck PJ, Kemna RE, Green ZD, John CS, Winter M, Billinger SA, Vidoni ED. Biomarker Responses to Acute Exercise and Relationship with Brain Blood Flow. J Alzheimers Dis 2024; 97:283-292. [PMID: 38108352 DOI: 10.3233/jad-230766] [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] [Indexed: 12/19/2023]
Abstract
BACKGROUND There is evidence that aerobic exercise is beneficial for brain health, but these effects are variable between individuals and the underlying mechanisms that modulate these benefits remain unclear. OBJECTIVE We sought to characterize the acute physiological response of bioenergetic and neurotrophic blood biomarkers to exercise in cognitively healthy older adults, as well as relationships with brain blood flow. METHODS We measured exercise-induced changes in lactate, which has been linked to brain blood flow, as well brain-derived neurotrophic factor (BDNF), a neurotrophin related to brain health. We further quantified changes in brain blood flow using arterial spin labeling. RESULTS As expected, lactate and BDNF both changed with time post exercise. Intriguingly, there was a negative relationship between lactate response (area under the curve) and brain blood flow measured acutely following exercise. Finally, the BDNF response tracked strongly with change in platelet activation, providing evidence that platelet activation is an important mechanism for trophic-related exercise responses. CONCLUSIONS Lactate and BDNF respond acutely to exercise, and the lactate response tracks with changes in brain blood flow. Further investigation into how these factors relate to brain health-related outcomes in exercise trials is warranted.
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Affiliation(s)
- Jill K Morris
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Paul J Kueck
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Riley E Kemna
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Zachary D Green
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Casey S John
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Michelle Winter
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Sandra A Billinger
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
| | - Eric D Vidoni
- The University of Kansas Medical Center, Fairway, KS, USA
- Department of Neurology, Fairway, KS, USA
- University of Kansas Alzheimer's Disease Research Center, Fairway, KS, USA
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Perneczky R, Hansen N, Hofmann A, Laske C, Priller J, Grimmer T, Frölich L, Düzel E, Jessen F, Wiltfang J. Blood-Based Biomarkers for Early Alzheimer's Disease Diagnosis in Real-World Settings. Methods Mol Biol 2024; 2785:3-14. [PMID: 38427184 DOI: 10.1007/978-1-0716-3774-6_1] [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: 03/02/2024]
Abstract
As our knowledge about the biology of Alzheimer's disease (AD) expands and we recognize the significance of early intervention for effective treatment, there is a shift in focus toward detecting the disease at an early stage. AD is characterized by the accumulation of misfolded amyloid-β (Aβ) and phosphorylated tau proteins in the brain, leading to the formation of senile plaques and neurofibrillary tangles. While a definitive diagnosis of AD can only be confirmed through autopsy by examining these pathological features, there are now reliable methods available for diagnosing the disease in living individuals. These methods involve analyzing cerebrospinal fluid and using positron emission tomography to accurately assess the presence of Aβ and tau proteins. While these diagnostic markers have shown high accuracy in memory-clinic populations, they do have limitations such as the requirement for invasive lumbar puncture or exposure to ionizing radiation. Additionally, they are not easily accessible outside of specialized healthcare settings. Blood-based biomarkers of the core pathological features of AD are being developed, showing promise for less invasive, scalable identification of AD cases in the community. The advantages for the healthcare systems of this development are obvious, but the diagnostic performance of blood-based biomarkers in broader, non-selected populations outside of retrospective analyses and research cohorts still requires further investigation, including the combination with more effective neuropsychological assessments such as digital cognitive test solutions.
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Affiliation(s)
- Robert Perneczky
- Department of Psychiatry and Psychotherapy, LMU Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK.
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.
| | - Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Anna Hofmann
- Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
- Department of Neurology, University Hospital Tuebingen, Tuebingen, Germany
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen, Tuebingen, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE) Tuebingen, Tuebingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charite University Medicine, Berlin, Germany
- Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Lutz Frölich
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Magdeburg, Germany
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE) Goettingen, Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
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Liu X, Liu X, Liu Y, Yang B, Li Y, Li F, Qian K, Zu J, Zhang W, Zhou S, Zhang T, Liu J, Cui G, Xu C. Utility of serum neurofilament light chain and glial fibrillary acidic protein as diagnostic biomarkers of freezing of gait in Parkinson's disease. Brain Res 2024; 1822:148660. [PMID: 37924925 DOI: 10.1016/j.brainres.2023.148660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/11/2023] [Accepted: 10/28/2023] [Indexed: 11/06/2023]
Abstract
Freezing of gait (FOG) is one of the most distressing features of Parkinson's disease (PD), increasing the risks of fractures and seriously affecting patients' quality of life. We aimed to examine the potential diagnostic roles of serum neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP) in PD patients with FOG (PD-FOG). We included 99 patients, comprising 54 PD patients without FOG (PD-NoFOG), 45 PD-FOG and 37 healthy controls (HCs). Our results indicated serum markers were significantly higher in PD-FOG and postural instability and gait difficulty (PIGD) motor subtype patients than in PD-NoFOG and non-PIGD subtype patients (P < 0.05), respectively. Patients with high concentrations of the markers NFL and GFAP had higher PIGD scores and greater FOG severity than those with low concentrations. Moreover, serum levels of both NFL and GFAP were significantly positively associated with age, FOG severity, PD-FOG status, and negatively associated with Mini-Mental State Examination (MMSE) scores. Logistic regression analysis identified serum levels of NFL and GFAP as independent risk factors for PD-FOG. Mediation analysis revealed that MMSE scores fully mediated the relationship between serum GFAP levels and FOG-Q scores, accounting for 33.33% of the total effects (indirect effect = 0.01, 95% CI 0.01-0.02). NFL levels differentiated PD-FOG from PD-NoFOG with reliable diagnostic accuracy (AUC 0.75, 95% CI 0.66-0.84), and the combination of NFL, GFAP, duration and MMSE scores demonstrated high accuracy (AUC 0.84, 95% CI 0.76-0.91). Our findings support the notion that NFL and GFAP may be potential biomarkers for the diagnosis of PD-FOG.
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Affiliation(s)
- Xu Liu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Xuanjing Liu
- Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Yuning Liu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Bo Yang
- Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Yangdanyu Li
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Fujia Li
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Kun Qian
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Jie Zu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Wei Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Su Zhou
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Tao Zhang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China
| | - Jing Liu
- Department of Cell Biology and Neurobiology, Life Sciences College, Xuzhou Medical University, Xuzhou, Jiangsu Province 221004, China.
| | - Guiyun Cui
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China.
| | - Chuanying Xu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, 99 West Huaihai Road, Xuzhou, Jiangsu Province 221000, China; Department of Neurology, The First Clinical College, Xuzhou Medical University, 209 Tongshan Road, Xuzhou, Jiangsu Province 221000, China.
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Eratne D, Kang M, Malpas C, Simpson-Yap S, Lewis C, Dang C, Grewal J, Coe A, Dobson H, Keem M, Chiu WH, Kalincik T, Ooi S, Darby D, Brodtmann A, Hansson O, Janelidze S, Blennow K, Zetterberg H, Walker A, Dean O, Berk M, Wannan C, Pantelis C, Loi SM, Walterfang M, Berkovic SF, Santillo AF, Velakoulis D. Plasma neurofilament light in behavioural variant frontotemporal dementia compared to mood and psychotic disorders. Aust N Z J Psychiatry 2024; 58:70-81. [PMID: 37477141 DOI: 10.1177/00048674231187312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
OBJECTIVE Blood biomarkers of neuronal injury such as neurofilament light (NfL) show promise to improve diagnosis of neurodegenerative disorders and distinguish neurodegenerative from primary psychiatric disorders (PPD). This study investigated the diagnostic utility of plasma NfL to differentiate behavioural variant frontotemporal dementia (bvFTD, a neurodegenerative disorder commonly misdiagnosed initially as PPD), from PPD, and performance of large normative/reference data sets and models. METHODS Plasma NfL was analysed in major depressive disorder (MDD, n = 42), bipolar affective disorder (BPAD, n = 121), treatment-resistant schizophrenia (TRS, n = 82), bvFTD (n = 22), and compared to the reference cohort (Control Group 2, n = 1926, using GAMLSS modelling), and age-matched controls (Control Group 1, n = 96, using general linear models). RESULTS Large differences were seen between bvFTD (mean NfL 34.9 pg/mL) and all PPDs and controls (all < 11 pg/mL). NfL distinguished bvFTD from PPD with high accuracy, sensitivity (86%), and specificity (88%). GAMLSS models using reference Control Group 2 facilitated precision interpretation of individual levels, while performing equally to or outperforming models using local controls. Slightly higher NfL levels were found in BPAD, compared to controls and TRS. CONCLUSIONS This study adds further evidence on the diagnostic utility of NfL to distinguish bvFTD from PPD of high clinical relevance to a bvFTD differential diagnosis, and includes the largest cohort of BPAD to date. Using large reference cohorts, GAMLSS modelling and the interactive Internet-based application we developed, may have important implications for future research and clinical translation. Studies are underway investigating utility of plasma NfL in diverse neurodegenerative and primary psychiatric conditions in real-world clinical settings.
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Affiliation(s)
- Dhamidhu Eratne
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Matthew Kang
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Charles Malpas
- CORe, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
- The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Steve Simpson-Yap
- CORe, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Courtney Lewis
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Christa Dang
- National Ageing Research Institute, Melbourne, VIC, Australia
- The University of Melbourne, Melbourne, VIC, Australia
| | - Jasleen Grewal
- Department of Psychiatry, Alfred Hospital, Melbourne, VIC, Australia
| | - Amy Coe
- Department of General Practice, The University of Melbourne, Melbourne, VIC, Australia
| | - Hannah Dobson
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- The University of Melbourne, Melbourne, VIC, Australia
| | - Michael Keem
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Wei-Hsuan Chiu
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Tomas Kalincik
- CORe, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Suyi Ooi
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - David Darby
- Central Clinical School, Monash University, Melbourne, VIC, Australia
- Neuroscience Department, Alfred Health, Melbourne, VIC, Australia
- Department of Eastern Neurosciences, Box Hill Hospital, Melbourne, VIC, Australia
| | - Amy Brodtmann
- Department of Eastern Neurosciences, Box Hill Hospital, Melbourne, VIC, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Cognitive Health Initiative, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- The Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Dahlgren's Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Dahlgren's Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Adam Walker
- IMPACT - Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Olivia Dean
- IMPACT - Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Michael Berk
- IMPACT - Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Cassandra Wannan
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- Orygen, Melbourne, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
- NorthWestern Mental Health, Sunshine Hospital, Melbourne, VIC, Australia
| | - Samantha M Loi
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Mark Walterfang
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Samuel F Berkovic
- Epilepsy Research Centre, Department of Medicine, Austin Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Alexander F Santillo
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Dennis Velakoulis
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
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47
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Beltran TA. Normative Values for Serum Neurofilament Light Chain in US Adults. J Clin Neurol 2024; 20:46-49. [PMID: 38179631 PMCID: PMC10782095 DOI: 10.3988/jcn.2022.0340] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 04/14/2023] [Accepted: 04/27/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND AND PURPOSE Neurofilament light chain (NfL) levels serve as a marker of neuroaxonal injury and can be measured in both cerebrospinal fluid and serum. Although serum NfL (sNfL) levels have been shown to increase with the progression of various neurological conditions, normative values for healthy individuals have not yet been established. This study was undertaken to determine age-specific normative values for sNfL and evaluate the associations between sNfL and sociodemographic characteristics. METHODS A retrospective analysis was conducted using population-based data collected by the National Health and Nutrition Examination Survey between 2013 and 2014. The sera of 2071 adult participants were collected. General linear models were used to examine the associations between sNfL levels and sample characteristics. RESULTS The data analysis revealed a significant positive association between age and sNfL levels (p<0.001). Sex was also associated with sNfL levels (p=0.04) after controlling for age. The mean sNfL levels for males and females were 17.99 pg/mL (95% confidence interval [CI]=15.43-20.17) and 15.78 pg/mL (95% CI=13.00-18.55) respectively, after controlling for age. CONCLUSIONS These results suggest that sNfL levels increase with age and are affected by sex. The findings of this study provide a useful baseline for comparing sNfL levels in clinical practice and future research.
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Affiliation(s)
- Thomas A Beltran
- Department of Research, Womack Army Medical Center, Fort Liberty, NC, USA.
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48
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Huang KY, Wu CL, Chang YS, Huang WY, Su FC, Lin SW, Chien YY, Weng WC, Wei YC. Elevated plasma neurofilament light chain in immune-mediated neurological disorders (IMND) detected by immunomagnetic reduction (IMR). Brain Res 2023; 1821:148587. [PMID: 37739331 DOI: 10.1016/j.brainres.2023.148587] [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: 05/22/2023] [Revised: 09/10/2023] [Accepted: 09/17/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND In cases of immune-mediated neurological disorders (IMND), different syndromes are associated with antibodies against neuronal surface antigens, intra-neuronal antigens, astrocytic aquaporin, and gangliosides. These autoantibodies can be pathogenic or connected to neuroinflammation and resulting neuronal injuries. This study aims to identify a blood biomarker that can detect neuronal damage in individuals with IMND. To this end, we use immunomagnetic reduction (IMR) nanobead technology to measure plasma neurofilament light chain (NfL). METHODS The patients with IMND were enrolled in the Chang Gung Memorial Hospital at Keelung from 2018 to 2023. Seronegative patients were excluded based on the results of antibody tests. The healthy controls (HC) were community-dwelling adults from the Northeastern Taiwan Community Medicine Research Cohort (NTCMRC) conducted by the Community Medicine Research Center of the Keelung CGMH from 2020 to 2022. IMR technique detects magnetic susceptibility via measuring magnetic signal reduction caused by antigen-antibody immunocomplex formation on magnetic nanobeads. The plasma level of NfL was determined by the magnetic susceptibility changes in IMR. RESULTS The study enrolled 57 IMND patients from the hospital and 73 HC participants from the communities. The plasma NfL was significantly higher in the IMND than in the HC (11.022 ± 2.637 vs. 9.664 ± 2.610 pg/mL, p = 0.004), regardless of age effects on plasma NfL in an analysis of covariance (ANCOVA) (F = 0.720, p = 0.950). In the receiver of operation curve analysis, the area under curve for plasma NfL to discriminate IMND and HC was 0.664 (95% CI = 0.549 to 0.739, p = 0.005). The subgroup analysis of plasma NfL in the IMND patients showed no difference between peripheral immune-mediated neuropathy (IMN) and central immune-mediated encephalomyelitis (IMEM) (11.331 ± 2.895 vs. 10.627 ± 2.260 pg/mL, p = 0.322), nor between tumor and non-tumor IMND (10.784 ± 3.446 vs. 11.093 ± 2.391 pg/mL, p = 0.714). Additionally, the antibody class of ganglioside antibodies in IMN did not have an impact on plasma NfL level (p = 0.857). CONCLUSION Plasma NfL measurement is a reliable indicator of axonal injuries in patients with IMND. It is equally effective in detecting nerve injuries in inflammatory peripheral neuropathies and central neuroinflammation. The IMR nanobead technology offers a feasible method of detecting plasma NfL, which helps identify axonal injuries in IMND.
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Affiliation(s)
- Kuan-Yu Huang
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Chia-Lun Wu
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Yueh-Shih Chang
- Department of Hematology and Oncology, Chang Gung Memorial Hospital, Keelung 204, Taiwan; School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Wen-Yi Huang
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan; School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Feng-Chieh Su
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Shun-Wen Lin
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Yu-Yi Chien
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan
| | - Wei-Chieh Weng
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan; School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Yi-Chia Wei
- Department of Neurology, Chang Gung Memorial Hospital, Keelung 204, Taiwan; School of Medicine, Chang Gung University, Taoyuan 333, Taiwan; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung 204, Taiwan.
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49
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Sotirchos ES, Hu C, Smith MD, Lord HN, DuVal AL, Arrambide G, Montalban X, Akgün K, Ziemssen T, Naismith RT, Hersh CM, Hyland M, Krupp LB, Nicholas JA, Bermel RA, Mowry EM, Calabresi PA, Fitzgerald KC. Agreement Between Published Reference Resources for Neurofilament Light Chain Levels in People With Multiple Sclerosis. Neurology 2023; 101:e2448-e2453. [PMID: 37816633 PMCID: PMC10752633 DOI: 10.1212/wnl.0000000000207957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/06/2023] [Indexed: 10/12/2023] Open
Abstract
OBJECTIVES To examine the agreement between published reference resources for neurofilament light chain (NfL) applied to a large population of people with multiple sclerosis (MS). METHODS Six published reference resources were used to classify NfL in participants in the Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) network as elevated or normal and to derive age-specific NfL Z-scores. NfL values were classified as elevated if they exceeded the >95th percentile (i.e., Z-score >1.645) of the age-specific reference range. Furthermore, age-specific NfL Z-scores could be derived for 4 of 6 reference resources. RESULTS NfL measurements were assessed from 12,855 visits of 6,687 people with MS (median 2 samples per individual [range 1-7]). The mean ± SD age was 47.1 ± 11.7 years, 72.1% of participants were female, disease duration was 15.0 ± 10.6 years, body mass index was 28.6 ± 6.9 kg/m2, and serum NfL was 12.87 ± 12.86 pg/mL. Depending on the selection of the reference resource, the proportion of NfL measurements classified as elevated varied from 3.7% to 30.9%. The kappa coefficient across the 6 reference resources used was 0.576 (95% CI 0.571-0.580) indicating moderate agreement. Spearman correlations between Z-scores derived from the various reference resources exceeded 0.90; however, concordance coefficients were lower, ranging from 0.72 to 0.89. DISCUSSION Interpretation of blood NfL values may vary markedly depending on the selection of the reference resource. Borderline elevated values should be interpreted with caution, and future studies should focus on standardizing NfL measurement and reporting across laboratories/platforms, better characterizing the effects of confounding/influencing factors, and defining the performance of NfL (including as part of multimodal predictive algorithms) for prediction of disease-specific outcomes.
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Affiliation(s)
- Elias S Sotirchos
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH.
| | - Chen Hu
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Matthew D Smith
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Hannah-Noelle Lord
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Anna L DuVal
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Georgina Arrambide
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Xavier Montalban
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Katja Akgün
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Tjalf Ziemssen
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Robert T Naismith
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Carrie M Hersh
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Megan Hyland
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Lauren B Krupp
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Jacqueline A Nicholas
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Robert A Bermel
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Ellen M Mowry
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Peter A Calabresi
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH
| | - Kathryn C Fitzgerald
- From the Johns Hopkins University School of Medicine (E.S.S., C.H., M.D.S., H.-N.L., A.L.D., E.M.M., P.A.C., K.C.F.), Baltimore, MD; Department of Neurology-Neuroimmunology (G.A., X.M.), Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Spain; Center of Clinical Neuroscience (K.A., T.Z.), Department of Neurology, University Clinic Carl-Gustav Carus, TU Dresden, Germany; Department of Neurology (R.T.N.), Washington University in St. Louis, MO; Lou Ruvo Center for Brain Health (C.M.H.), Cleveland Clinic, Las Vegas, NV; Department of Neurology (M.H.), University of Rochester Medical Center, NY; Department of Neurology (L.B.K.), New York University, New York City; OhioHealth Multiple Sclerosis Center (J.A.N.), Riverside Methodist Hospital, Columbus; and Mellen Center (R.A.B.), Neurological Institute, Cleveland Clinic, OH.
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Hazan J, Liu KY, Fox NC, Howard R. Online clinical tools to support the use of new plasma biomarker diagnostic technology in the assessment of Alzheimer's disease: a narrative review. Brain Commun 2023; 5:fcad322. [PMID: 38090277 PMCID: PMC10715781 DOI: 10.1093/braincomms/fcad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/11/2023] [Accepted: 11/23/2023] [Indexed: 02/15/2024] Open
Abstract
Recent advances in new diagnostic technologies for Alzheimer's disease have improved the speed and precision of diagnosis. However, accessing the potential benefits of this technology poses challenges for clinicians, such as deciding whether it is clinically appropriate to order a diagnostic test, which specific test or tests to order and how to interpret test results and communicate these to the patient and their caregiver. Tools to support decision-making could provide additional structure and information to the clinical assessment process. These tools could be accessed online, and such 'e-tools' can provide an interactive interface to support patients and clinicians in the use of new diagnostic technologies for Alzheimer's disease. We performed a narrative review of the literature to synthesize information available on this research topic. Relevant studies that provide an understanding of how these online tools could be used to optimize the clinical utility of diagnostic technology were identified. Based on these, we discuss the ways in which e-tools have been used to assist in the diagnosis of Alzheimer's disease and propose recommendations for future research to aid further development.
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Affiliation(s)
- Jemma Hazan
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London W1T 7BN, UK
| | - Nick C Fox
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, W1T 7NF, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London W1T 7BN, UK
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