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Bayoumy S, Verberk IMW, Vermunt L, Willemse E, den Dulk B, van der Ploeg AT, Pajkrt D, Nitz E, van den Hout JMP, van der Post J, Wolf NI, Beerepoot S, Groen EJN, Tüngler V, Teunissen CE. Neurofilament light protein as a biomarker for spinal muscular atrophy: a review and reference ranges. Clin Chem Lab Med 2024; 62:1252-1265. [PMID: 38215341 DOI: 10.1515/cclm-2023-1311] [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: 11/18/2023] [Accepted: 01/03/2024] [Indexed: 01/14/2024]
Abstract
Spinal muscular atrophy (SMA) is the leading genetic cause of infant mortality, characterized by progressive neuromuscular degeneration resulting from mutations in the survival motor neuron (SMN1) gene. The availability of disease-modifying therapies for SMA therapies highlights the pressing need for easily accessible and cost-effective blood biomarkers to monitor treatment response and for better disease management. Additionally, the wide implementation of newborn genetic screening programs in Western countries enables presymptomatic diagnosis of SMA and immediate treatment administration. However, the absence of monitoring and prognostic blood biomarkers for neurodegeneration in SMA hinders effective disease management. Neurofilament light protein (NfL) is a promising biomarker of neuroaxonal damage in SMA and reflects disease progression in children with SMA undergoing treatment. Recently, the European Medicines Agency issued a letter of support endorsing the potential utilization of NfL as a biomarker of pediatric neurological diseases, including SMA. Within this review, we comprehensively assess the potential applications of NfL as a monitoring biomarker for disease severity and treatment response in pediatric-onset SMA. We provide reference ranges for normal levels of serum based NfL in neurologically healthy children aged 0-18 years. These reference ranges enable accurate interpretation of NfL levels in children and can accelerate the implementation of NfL into clinical practice.
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Affiliation(s)
- Sherif Bayoumy
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Eline Willemse
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ben den Dulk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ans T van der Ploeg
- Center for Lysosomal and Metabolic Diseases, Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dasja Pajkrt
- Organovir Labs, Department of Pediatric Infectious Diseases, Amsterdam University Medical Centers Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Elisa Nitz
- Department of Neuropediatrics, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - Johanna M P van den Hout
- Center for Lysosomal and Metabolic Diseases, Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Julie van der Post
- Organovir Labs, Department of Pediatric Infectious Diseases, Amsterdam University Medical Centers Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Nicole I Wolf
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, and Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, The Netherlands
| | - Shanice Beerepoot
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, and Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Ewout J N Groen
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Victoria Tüngler
- Department of Neuropediatrics, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
- University Center for Rare Diseases, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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Sung J, Chae Y, Yun T, Koo Y, Lee D, Kim H, Yang MP, Kang BT. Use of neurofilament light chain to identify structural brain diseases in dogs. J Vet Intern Med 2024. [PMID: 38778568 DOI: 10.1111/jvim.17110] [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: 06/08/2023] [Accepted: 05/02/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Neurofilament light chain (NfL) is released into the peripheral circulation by damaged axons. OBJECTIVES To evaluate the diagnostic value of serum NfL concentration in dogs with intracranial diseases. ANIMALS Study included 37 healthy dogs, 31 dogs with idiopathic epilepsy (IE), 45 dogs with meningoencephalitis of unknown etiology (MUE), 20 dogs with hydrocephalus, and 19 dogs with brain tumors. METHODS Cohort study. Serum NfL concentrations were measured in all dogs using single-molecule array technology. RESULTS Serum NfL concentration in dogs with each structural disease was significantly higher than in healthy dogs and dogs with IE (P = .01). The area under the receiver operating characteristic curve of NfL for differentiating between dogs with structural diseases and IE was 0.868. An optimal cutoff value of the NfL 27.10 pg/mL had a sensitivity of 86.67% and a specificity of 74.19% to differentiate the dogs with IE from those with structural brain diseases. There were significant correlations between NfL concentrations and lesion size: (1) MUE, P = .01, r = 0.429; (2) hydrocephalus, P = .01, r = 0.563. CONCLUSIONS AND CLINICAL IMPORTANCE Serum NfL could be a useful biomarker for distinguishing IE from structural diseases in dogs and predicting the lesion sizes of MUE and hydrocephalus.
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Affiliation(s)
- Jookyung Sung
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Yeon Chae
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Taesik Yun
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Yoonhoi Koo
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Dohee Lee
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Hakhyun Kim
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Mhan-Pyo Yang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
| | - Byeong-Teck Kang
- Laboratory of Veterinary Internal Medicine, College of Veterinary Medicine, Chungbuk National University, Cheongju, Chungbuk, Republic of Korea
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Eggertsen PP, Palmfeldt J, Pedersen AR, Frederiksen OV, Olsen RKJ, Nielsen JF. Serum neurofilament light chain, inflammatory markers, and kynurenine metabolites in patients with persistent post-concussion symptoms: A cohort study. J Neurol Sci 2024; 460:123016. [PMID: 38636323 DOI: 10.1016/j.jns.2024.123016] [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: 01/22/2024] [Revised: 02/29/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Concussion leads to persistent post-concussion symptoms (PPCS) in up to one-third of those affected. While previous research has linked the initial trauma to elevated serum levels of neurofilament light chain (NFL), inflammatory markers, and neurotoxic metabolites within the kynurenine pathway, few studies have explored their relevance in PPCS. This study aims to investigate these biomarkers in PPCS patients, elucidating their relevance in the prolonged phase of concussion. METHODS Serum samples from 86 PPCS individuals aged 18-30 years, 2-6 months post-trauma were analyzed, with 54 providing follow-up samples after seven months. NFL was measured using single-molecule array (Simoa) technology, 13 inflammatory markers via a Luminex immunoassay, and five kynurenine metabolites using liquid chromatography-mass spectrometry. A control group of 120 healthy anonymous blood donors was recruited for comparison. RESULTS No significant NFL differences were found in PPCS participants compared with healthy individuals (p = 0.22). Intriguingly, a subset (9.3%) of PPCS participants initially exhibited abnormally high NFL levels (>9.7 pg/mL), which normalized upon follow-up (p = 0.032). Additionally, serum levels of the inflammatory markers, monocyte chemoattractant protein-1 (MCP-1/CCL2), and eotaxin-1/CCL11 were 25-40% lower than in healthy individuals (p ≤ 0.001). As hypothesized, PPCS participants exhibited a 22% reduction in the ratio of kynurenic acid to quinolinic acid (neuroprotective index) (p < 0.0001), indicating a shift towards the formation of neurotoxic metabolites. CONCLUSION NFL may serve as a biomarker to monitor recovery, and future studies should investigate the potential therapeutic benefits of modulating the kynurenine pathway to improve PPCS.
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Affiliation(s)
- Peter Preben Eggertsen
- Hammel Neurorehabilitation Centre and University Research Clinic, Department of Clinical Medicine, Aarhus University, Voldbyvej 15A, Hammel 8450, Denmark; Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N 8200, Denmark.
| | - Johan Palmfeldt
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N 8200, Denmark
| | - Asger Roer Pedersen
- University Research Clinic for Innovative Patient Pathways, Diagnostic Centre, Silkeborg Regional Hospital, Falkevej 1, Silkeborg 8600, Denmark
| | | | - Rikke Katrine Jentoft Olsen
- Research Unit for Molecular Medicine, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Palle Juul-Jensens Boulevard 99, Aarhus N 8200, Denmark
| | - Jørgen Feldbæk Nielsen
- Hammel Neurorehabilitation Centre and University Research Clinic, Department of Clinical Medicine, Aarhus University, Voldbyvej 15A, Hammel 8450, Denmark
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Fowler KM, Shinn RL, Rossmeisl JH, Parker RL. Evaluation of neurofilament light chain as a biomarker in dogs with structural and idiopathic epilepsy. J Vet Intern Med 2024; 38:1577-1582. [PMID: 38509606 PMCID: PMC11099752 DOI: 10.1111/jvim.17033] [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: 06/26/2023] [Accepted: 02/16/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Neurofilament light chain (NfL) is a frequently used biomarker in humans for both diagnostic and therapeutic monitoring purposes in various neurologic diseases. HYPOTHESIS/OBJECTIVES It was hypothesized that dogs with diagnosed structural epilepsy (SE) would have a significantly higher serum NfL concentrations compared to dogs with idiopathic epilepsy (IE). The secondary hypothesis was that dogs would have a significantly higher serum NfL concentrations when measured within 7 days after a seizure compared to being seizure-free for at least 30 days. ANIMALS Fifty client-owned dogs presented to the neurology service for evaluation of seizures were enrolled. Fourteen dogs had SE and 36 dogs had IE. METHODS Prospective cohort study performed on 52 serum samples obtained for NfL concentration measurement using single molecule array technology. RESULTS The median serum concentration of NfL in dogs with SE was significantly higher (109 pg/mL; range, 11.4-741.3 pg/mL) than in dogs with IE (17.7 pg/mL; range, 5.8-188 pg/mL; Wilcoxon rank sum test, P = .001). No significant relationship was found between serum NfL concentration and time of sampling in relation to the most recent seizure in dogs with IE. CONCLUSIONS AND CLINICAL IMPORTANCE Serum NfL may serve as an adjunctive biomarker for the differentiation of SE and IE.
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Affiliation(s)
- Kayla M. Fowler
- Virginia‐Maryland College of Veterinary MedicineBlacksburgVirginiaUSA
| | - Richard L. Shinn
- Virginia‐Maryland College of Veterinary MedicineBlacksburgVirginiaUSA
| | - John H. Rossmeisl
- Virginia‐Maryland College of Veterinary MedicineBlacksburgVirginiaUSA
| | - Rell L. Parker
- Virginia‐Maryland College of Veterinary MedicineBlacksburgVirginiaUSA
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Moschopoulos CD, Stanitsa E, Protopapas K, Kavatha D, Papageorgiou SG, Antoniadou A, Papadopoulos A. Multimodal Approach to Neurocognitive Function in People Living with HIV in the cART Era: A Comprehensive Review. Life (Basel) 2024; 14:508. [PMID: 38672778 PMCID: PMC11050956 DOI: 10.3390/life14040508] [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: 03/07/2024] [Revised: 04/02/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024] Open
Abstract
Combination antiretroviral treatment (cART) has revolutionized the management of human immunodeficiency virus (HIV) and has markedly improved the disease burden and life expectancy of people living with HIV. HIV enters the central nervous system (CNS) early in the course of infection, establishes latency, and produces a pro-inflammatory milieu that may affect cognitive functions, even in the cART era. Whereas severe forms of neurocognitive impairment (NCI) such as HIV-associated dementia have declined over the last decades, milder forms have become more prevalent, are commonly multifactorial, and are associated with comorbidity burdens, mental health, cART neurotoxicity, and ageing. Since 2007, the Frascati criteria have been used to characterize and classify HIV-associated neurocognitive disorders (HAND) into three stages, namely asymptomatic neurocognitive impairment (ANI), mild neurocognitive disorder (MND), and HIV-associated dementia (HAD). These criteria are based on a comprehensive neuropsychological assessment that presupposes the availability of validated, demographically adjusted, and normative population data. Novel neuroimaging modalities and biomarkers have been proposed in order to complement NCI assessments, elucidate neuropathogenic mechanisms, and support HIV-associated NCI diagnosis, monitoring, and prognosis. By integrating neuropsychological assessments with biomarkers and neuroimaging into a holistic care approach, clinicians can enhance diagnostic accuracy, prognosis, and patient outcomes. This review interrogates the value of these modes of assessment and proposes a unified approach to NCI diagnosis.
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Affiliation(s)
- Charalampos D. Moschopoulos
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Evangelia Stanitsa
- 1st Department of Neurology, Medical School of Athens, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.S.); (S.G.P.)
| | - Konstantinos Protopapas
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Dimitra Kavatha
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Medical School of Athens, National and Kapodistrian University of Athens, Eginition Hospital, 11528 Athens, Greece; (E.S.); (S.G.P.)
| | - Anastasia Antoniadou
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
| | - Antonios Papadopoulos
- 4th Department of Internal Medicine, Medical School of Athens, National and Kapodistrian University of Athens, Attikon University Hospital, 12462 Athens, Greece; (K.P.); (D.K.); (A.A.); (A.P.)
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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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Jain SK, Stevens CM, Margret JJ, Levine SN. Alzheimer's Disease: A Review of Pathology, Current Treatments, and the Potential Therapeutic Effect of Decreasing Oxidative Stress by Combined Vitamin D and l-Cysteine Supplementation. Antioxid Redox Signal 2024; 40:663-678. [PMID: 37756366 PMCID: PMC11001507 DOI: 10.1089/ars.2023.0245] [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: 02/22/2023] [Revised: 08/26/2023] [Accepted: 08/27/2023] [Indexed: 09/29/2023]
Abstract
Significance: Excess oxidative stress and neuroinflammation are risk factors in the onset and progression of Alzheimer's disease (AD) and its association with amyloid-β plaque accumulation. Oxidative stress impairs acetylcholine (ACH) and N-methyl-d-aspartate receptor signaling in brain areas that function in memory and learning. Glutathione (GSH) antioxidant depletion positively correlates with the cognitive decline in AD subjects. Treatments that upregulate GSH and ACH levels, which simultaneously decrease oxidative stress and inflammation, may be beneficial for AD. Recent Advances: Some clinical trials have shown a benefit of monotherapy with vitamin D (VD), whose deficiency is linked to AD or with l-cysteine (LC), a precursor of GSH biosynthesis, in reducing mild cognitive impairment. Animal studies have shown a simultaneous decrease in ACH esterase (AChE) and increase in GSH; combined supplementation with VD and LC results in a greater decrease in oxidative stress and inflammation, and increase in GSH levels compared with monotherapy with VD or LC. Therefore, cosupplementation with VD and LC has the potential of increasing GSH, downregulation of oxidative stress, and decreased inflammation and AChE levels. Future Directions: Clinical trials are needed to determine whether safe low-cost dietary supplements, using combined VD+LC, have the potential to alleviate elevated AChE, oxidative stress, and inflammation levels, thereby halting the onset of AD. Goal of Review: The goal of this review is to highlight the pathological hallmarks and current Food and Drug Administration-approved treatments for AD, and discuss the potential therapeutic effect that cosupplementation with VD+LC could manifest by increasing GSH levels in patients. Antioxid. Redox Signal. 40, 663-678.
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Affiliation(s)
- Sushil K. Jain
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Christopher M. Stevens
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Jeffrey Justin Margret
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
| | - Steven N. Levine
- Department of Pediatrics and Medicine, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana, USA
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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 2024:10.1038/s41380-024-02524-6. [PMID: 38503931 DOI: 10.1038/s41380-024-02524-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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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9
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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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [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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10
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Hemminghyth MS, Chwiszczuk LJ, Breitve MH, Gísladóttir B, Grøntvedt GR, Nakling A, Rongve A, Fladby T, Kirsebom BE. Cerebrospinal fluid neurofilament light chain mediates age-associated lower learning and memory in healthy adults. Neurobiol Aging 2024; 135:39-47. [PMID: 38159464 DOI: 10.1016/j.neurobiolaging.2023.12.005] [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: 05/25/2023] [Revised: 12/15/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Multiple cognitive domains, including learning, memory, and psychomotor speed, show significant reductions with age. Likewise, several cerebrospinal fluid (CSF) neurodegenerative biomarkers, including total tau (t-tau, a marker of neuronal body injury) and neurofilament light chain (NfL, a marker of axonal injury) show age-related increases in normal aging. In the current study, we aimed to investigate whether the age-effect within different cognitive domains was mediated by age-associated CSF markers for neurodegenerative changes. We fitted 10 mediation models using structural equation modeling to investigate this in a cohort of 137 healthy adults, aged 40-80 years, from the Norwegian Dementia Disease Initiation (DDI) study. Here, t-tau and NfL were defined as mediators between age and different cognitive tests. The models showed that NfL mediated the age-effect for CERAD learning and memory recall (learning: β = -0.395, p < 0.05; recall: β = -0.261, p < 0.01). No such effect was found in the other models. Our findings suggest that the age-related lower performance in verbal learning and memory may be linked to NfL-associated neurodegenerative changes in cognitively healthy adults.
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Affiliation(s)
- Mathilde Suhr Hemminghyth
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Neuropsychology, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway.
| | - Luiza Jadwiga Chwiszczuk
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
| | - Monica Haraldseid Breitve
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Neuropsychology, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
| | - Berglind Gísladóttir
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway; Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital and University of 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
| | - Arne Nakling
- Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Research Group for Age-Related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway; Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway; Department of Age-related Medicine, Helse Fonna, Haugesund Hospital, Haugesund, 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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11
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Solís-Tarazona L, Raket LL, Cabello-Murgui J, Reddam S, Navarro-Quevedo S, Gil-Perotin S. Predictive value of individual serum neurofilament light chain levels in short-term disease activity in relapsing multiple sclerosis. Front Neurol 2024; 15:1354431. [PMID: 38426169 PMCID: PMC10903281 DOI: 10.3389/fneur.2024.1354431] [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: 12/12/2023] [Accepted: 01/26/2024] [Indexed: 03/02/2024] Open
Abstract
Background The assessment of serum neurofilament light chain (sNFL) has emerged as a diagnostic and prognostic tool in monitoring multiple sclerosis (MS). However, the application of periodic measurement in daily practice remains unclear. Objective To evaluate the predictive value of individual sNFL levels in determining disease activity in patients with relapsing MS (RMS). Methods In this two-year prospective study, 129 RMS patients underwent quarterly sNFL assessments and annual MRI scans. The study analyzed the correlation between individual NFL levels and past, current, and future disease activity. Group-level Z-scores were employed as a comparative measure. Results Among the 37 participants, a total of 61 episodes of disease activity were observed. sNFL levels proved valuable in distinct ways; they were confirmatory of previous and current clinical and/or radiological activity and demonstrated a high negative predictive value for future 90 days activity. Interestingly, Z-scores marginally outperformed sNFL levels in terms of predictive accuracy, indicating the potential for alternative approaches in disease activity assessment. In our cohort, sNFL cut-offs of 10.8 pg./mL (sensitivity 27%, specificity 90%) and 14.3 pg./mL (sensitivity 15%, specificity 95%) correctly identified 7 and 4 out of 26 cases of radiological activity within 90 days, respectively, with 14 and 15% false negatives. When using lower cut-off values, individuals with sNFL levels below 5 pg/mL (with a sensitivity of 92%, specificity of 25%, and negative predictive value of 94%) were less likely to experience radiological activity within the next 3 months. Conclusion Individual sNFL levels may potentially confirm prior or current disease activity and predict short-term future radiological activity in RMS. These findings underscore its periodic measurement as a valuable tool in RMS management and decision-making, enhancing the precision of clinical evaluation in routine practice.
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Affiliation(s)
- Luis Solís-Tarazona
- Research Group in Immunotherapy and Biomodels for Autoimmunity, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Lars Lau Raket
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Javier Cabello-Murgui
- Research Group in Immunotherapy and Biomodels for Autoimmunity, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Salma Reddam
- Research Group in Immunotherapy and Biomodels for Autoimmunity, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | | | - Sara Gil-Perotin
- Research Group in Immunotherapy and Biomodels for Autoimmunity, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
- Multiple Sclerosis Unit, Neurology, Hospital Universitario y Politécnico La Fe, Valencia, Spain
- Consorcio Centro de Investigación Biomédica en Red (CIBER), CB06/05/1131, Instituto de Salud Carlos III, Madrid, Spain
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12
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Palleis C, Franzmeier N, Weidinger E, Bernhardt AM, Katzdobler S, Wall S, Ferschmann C, Harris S, Schmitt J, Schuster S, Gnörich J, Finze A, Biechele G, Lindner S, Albert NL, Bartenstein P, Sabri O, Barthel H, Rupprecht R, Nuscher B, Stephens AW, Rauchmann BS, Perneczky R, Haass C, Brendel M, Levin J, Höglinger GU. Association of Neurofilament Light Chain, [ 18F]PI-2620 Tau-PET, TSPO-PET, and Clinical Progression in Patients With β-Amyloid-Negative CBS. Neurology 2024; 102:e207901. [PMID: 38165362 PMCID: PMC10834119 DOI: 10.1212/wnl.0000000000207901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Corticobasal syndrome (CBS) with underlying 4-repeat tauopathy is a progressive neurodegenerative disease characterized by declining cognitive and motor functions. Biomarkers for assessing pathologic brain changes in CBS including tau-PET, 18 kDa translocator protein (TSPO)-PET, structural MRI, neurofilament light chain (NfL), or glial fibrillary acidic protein (GFAP) have recently been evaluated for differential diagnosis and disease staging, yet their association with disease trajectories remains unclear. Therefore, we performed a head-to-head comparison of neuroimaging (tau-PET, TSPO-PET, structural MRI) and plasma biomarkers (NfL, GFAP) as prognostic tools for longitudinal clinical trajectories in β-amyloid (Aβ)-negative CBS. METHODS We included patients with clinically diagnosed Aβ-negative CBS with clinical follow-up data who underwent baseline structural MRI and plasma-NfL analysis for assessing neurodegeneration, [18F]PI-2620-PET for assessing tau pathology, [18F]GE-180-PET for assessing microglia activation, and plasma-GFAP analysis for assessing astrocytosis. To quantify tau and microglia load, we assessed summary scores of whole-brain, cortical, and subcortical PET signal. For structural MRI analysis, we quantified subcortical and cortical gray matter volume. Plasma NfL and GFAP values were assessed using Simoa-based immunoassays. Symptom progression was determined using a battery of cognitive and motor tests (i.e., Progressive Supranuclear Palsy Rating Scale [PSPRS]). Using linear mixed models, we tested whether the assessed biomarkers at baseline were associated with faster symptom progression over time (i.e., time × biomarker interaction). RESULTS Overall, 21 patients with Aβ-negative CBS with ∼2-year clinical follow-up data were included. Patients with CBS with more widespread global tau-PET signal showed faster clinical progression (PSPRS: B/SE = 0.001/0.0005, p = 0.025), driven by cortical rather than subcortical tau-PET. By contrast, patients with higher global [18F]GE-180-PET readouts showed slower clinical progression (PSPRS: B/SE = -0.056/0.023, p = 0.019). No association was found between gray matter volume and clinical progression. Concerning fluid biomarkers, only higher plasma-NfL (PSPRS: B/SE = 0.176/0.046, p < 0.001) but not GFAP was associated with faster clinical deterioration. In a subsequent sensitivity analysis, we found that tau-PET, TSPO-PET, and plasma-NfL showed significant interaction effects with time on clinical trajectories when tested in the same model. DISCUSSION [18F]PI-2620 tau-PET, [18F]GE-180 TSPO-PET, and plasma-NfL show prognostic potential for clinical progression in patients with Aβ-negative CBS with probable 4-repeat tauopathy, which can be useful for clinical decision-making and stratifying patients in clinical trials.
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Affiliation(s)
- Carla Palleis
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nicolai Franzmeier
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Endy Weidinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Alexander M Bernhardt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sabrina Katzdobler
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stephan Wall
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Ferschmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Stefanie Harris
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Julia Schmitt
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Sebastian Schuster
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Gnörich
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Anika Finze
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Gloria Biechele
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Simon Lindner
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Nathalie L Albert
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Peter Bartenstein
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Osama Sabri
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Henryk Barthel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Rainer Rupprecht
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Brigitte Nuscher
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Andrew W Stephens
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Boris-Stephan Rauchmann
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Robert Perneczky
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Christian Haass
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Matthias Brendel
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Johannes Levin
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Günter U Höglinger
- From the Departments of Neurology (C.P., E.W., A.M.B., S.K., J.L., G.U.H.), Nuclear Medicine (S.W., C.F., S.H., J.S., S.S., J.G., A.F., G.B., S.L., N.L.A., P.B., M.B.), and Psychiatry and Psychotherapy (B.-S.R., R.P.) and the Institutes for Stroke and Dementia Research (N.F.) and Neuroradiology (B.-S.R.), University Hospital, LMU Munich, Germany; Munich Cluster for Systems Neurology (C.P., N.F., S.K., P.B., R.P., C.H., M.B., J.L.), SyNergy, Germany; German Center for Neurodegenerative Diseases (C.P., E.W., A.M.B., S.K., B.N., B.-S.R., R.P., C.H., M.B., J.L., G.U.H.), DZNE-Munich, Germany; Department of Nuclear Medicine (O.S., H.B.), Leipzig University Medical Centre; Department of Psychiatry and Psychotherapy (R.R.), University of Regensburg, Germany; Life Molecular Imaging GmbH (A.W.S.), Berlin, Germany; Sheffield Institute for Translational Neuroscience (SITraN) (B.-S.R., R.P.), University of Sheffield, United Kingdom; Ageing Epidemiology Research Unit (AGE) (R.P.), School of Public Health, Imperial College London, United Kingdom; and Chair of Metabolic Biochemistry (C.H.), Biomedical Center (BMC), Ludwig-Maximilians-Universität LMU, Munich, Germany
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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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14
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Donini L, Tanel R, Zuccarino R, Basso M. Protein biomarkers for the diagnosis and prognosis of Amyotrophic Lateral Sclerosis. Neurosci Res 2023; 197:31-41. [PMID: 37689321 DOI: 10.1016/j.neures.2023.09.002] [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: 07/01/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/11/2023]
Abstract
Amyotrophic Lateral Sclerosis (ALS) is the most common motor neuron disease, still incurable. The disease is highly heterogenous both genetically and phenotypically. Therefore, developing efficacious treatments is challenging in many aspects because it is difficult to predict the rate of disease progression and stratify the patients to minimize statistical variability in clinical studies. Moreover, there is a lack of sensitive measures of therapeutic effect to assess whether a pharmacological intervention ameliorates the disease. There is also urgency of markers that reflect a molecular mechanism dysregulated by ALS pathology and can be rescued when a treatment relieves the condition. Here, we summarize and discuss biomarkers tested in multicentered studies and across different laboratories like neurofilaments, the most used marker in ALS clinical studies, neuroinflammatory-related proteins, p75ECD, p-Tau/t-Tau, and UCHL1. We also explore the applicability of muscle proteins and extracellular vesicles as potential biomarkers.
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Affiliation(s)
- Luisa Donini
- Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Italy.
| | - Raffaella Tanel
- Clinical Center NeMO, APSS Ospedale Riabilitativo Villa Rosa, Pergine 38057, TN, Italy.
| | - Riccardo Zuccarino
- Clinical Center NeMO, APSS Ospedale Riabilitativo Villa Rosa, Pergine 38057, TN, Italy
| | - Manuela Basso
- Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Italy.
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15
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Åkesson J, Hojjati S, Hellberg S, Raffetseder J, Khademi M, Rynkowski R, Kockum I, Altafini C, Lubovac-Pilav Z, Mellergård J, Jenmalm MC, Piehl F, Olsson T, Ernerudh J, Gustafsson M. Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. Nat Commun 2023; 14:6903. [PMID: 37903821 PMCID: PMC10616092 DOI: 10.1038/s41467-023-42682-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/17/2023] [Indexed: 11/01/2023] Open
Abstract
Sensitive and reliable protein biomarkers are needed to predict disease trajectory and personalize treatment strategies for multiple sclerosis (MS). Here, we use the highly sensitive proximity-extension assay combined with next-generation sequencing (Olink Explore) to quantify 1463 proteins in cerebrospinal fluid (CSF) and plasma from 143 people with early-stage MS and 43 healthy controls. With longitudinally followed discovery and replication cohorts, we identify CSF proteins that consistently predicted both short- and long-term disease progression. Lower levels of neurofilament light chain (NfL) in CSF is superior in predicting the absence of disease activity two years after sampling (replication AUC = 0.77) compared to all other tested proteins. Importantly, we also identify a combination of 11 CSF proteins (CXCL13, LTA, FCN2, ICAM3, LY9, SLAMF7, TYMP, CHI3L1, FYB1, TNFRSF1B and NfL) that predict the severity of disability worsening according to the normalized age-related MS severity score (replication AUC = 0.90). The identification of these proteins may help elucidate pathogenetic processes and might aid decisions on treatment strategies for persons with MS.
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Affiliation(s)
- Julia Åkesson
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
- Systems Biology Research Centre, School of Bioscience, University of Skövde, 541 28, Skövde, Sweden
| | - Sara Hojjati
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Sandra Hellberg
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Johanna Raffetseder
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Mohsen Khademi
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Robert Rynkowski
- Department of Neurology, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Ingrid Kockum
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Claudio Altafini
- Division of Automatic Control, Department of Electrical Engineering, Linköping University, 581 83, Linköping, Sweden
| | - Zelmina Lubovac-Pilav
- Systems Biology Research Centre, School of Bioscience, University of Skövde, 541 28, Skövde, Sweden
| | - Johan Mellergård
- Department of Neurology, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Maria C Jenmalm
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Fredrik Piehl
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Jan Ernerudh
- Department of Clinical Immunology and Transfusion Medicine, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Mika Gustafsson
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden.
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16
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Ongphichetmetha T, Thanapornsangsuth P, Luechaipanit W, Loymunkong N, Rattanawong W, Hiransuthikul A, Supharatpariyakorn T, Sriswasdi S, Hemachudha T. Neurofilament light chain for classifying the aetiology of alteration of consciousness. Brain Commun 2023; 5:fcad278. [PMID: 37942089 PMCID: PMC10629465 DOI: 10.1093/braincomms/fcad278] [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: 03/13/2023] [Revised: 08/25/2023] [Accepted: 10/18/2023] [Indexed: 11/10/2023] Open
Abstract
Neurofilament light chain has become a promising biomarker for neuroaxonal injury; however, its diagnostic utility is limited to chronic disorders or specific contexts. Alteration of consciousness is a common clinical problem with diverse aetiologies, many of which require timely diagnoses. We evaluated the value of neurofilament light chain alone, as well as creating diagnostic models, in distinguishing causes of alteration of consciousness. Patients presenting with alteration of consciousness were enrolled. Initial clinical data of each participant were evaluated by a neurologist to give a provisional diagnosis. Each participant subsequently received advanced investigations and follow-up to conclude the final diagnosis. All diagnoses were classified into a structural or non-structural cause of alteration of consciousness. Plasma and cerebrospinal fluid levels of neurofilament light chain were measured. Cerebrospinal fluid neurofilament light chain and other clinical parameters were used to develop logistic regression models. The performance of cerebrospinal fluid neurofilament light chain, the neurologist's provisional diagnosis, and the model to predict the final diagnosis were compared. For the results, among 71 participants enrolled, 67.6% and 32.4% of their final diagnoses were classified as structural and non-structural, respectively. Cerebrospinal fluid neurofilament light chain demonstrated an area under the curve of 0.75 (95% confidence interval 0.63-0.88) which was not significantly different from a neurologist's provisional diagnosis 0.85 (95% confidence interval 0.75-0.94) (P = 0.14). The multivariable regression model using cerebrospinal fluid neurofilament light chain and other basic clinical data achieved an area under the curve of 0.90 (95% confidence interval 0.83-0.98). In conclusion, neurofilament light chain classified causes of alteration of consciousness with moderate accuracy. Nevertheless, including other basic clinical data to construct a model improved the performance to a level that was comparable to clinical neurologists.
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Affiliation(s)
- Tatchaporn Ongphichetmetha
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Siriraj Neuroimmunology Center, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Poosanu Thanapornsangsuth
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Watayuth Luechaipanit
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Nattawan Loymunkong
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Wanakorn Rattanawong
- Department of Medicine, Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
| | - Akarin Hiransuthikul
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Thirawat Supharatpariyakorn
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Sira Sriswasdi
- Center for Artificial Intelligence in Medicine, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Center of Excellence in Computational Molecular Biology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Thiravat Hemachudha
- Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Thai Red Cross Emerging Infectious Diseases Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital The Thai Red Cross Society, Bangkok 10330, Thailand
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17
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Woltsche N, Valentin K, Hoeflechner L, Guttmann A, Horwath-Winter J, Schneider MR, Ivastinovic D, Lindner M, Schmetterer L, Singh N, Riedl R, Buchmann A, Khalil M, Lindner E. Neurofilament light chain: a new marker for neuronal decay in the anterior chamber fluid of patients with glaucoma. Br J Ophthalmol 2023; 107:1432-1437. [PMID: 35750478 DOI: 10.1136/bjo-2021-320828] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 06/10/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND/AIMS Neurofilament light chain (NfL) levels in cerebrospinal fluid and serum are reliable indicators for neuroaxonal damage in a broad spectrum of neurodegenerative diseases. Herein, we investigate NfL levels in serum and anterior chamber fluid of patients with glaucoma. METHODS Patients scheduled for routine glaucoma or cataract surgery were recruited for this study. Retinal nerve fibre layer thickness was measured by optical coherence tomography (OCT, Heidelberg Spectralis). NfL levels in serum and in anterior chamber fluid were analysed with Simoa SR-X Analyzer (Quanterix; NFLIGHT, Lexington, Massachusetts, USA). T-test was used for parametric data and Mann-Whitney-U test for nonparametric data. Spearman's rank-order correlation was used to investigate correlations. P values<0.05 were considered as statistically significant. RESULTS Sixty patients with glaucoma and 58 controls were enrolled. Serum NfL concentration of patients with glaucoma was similar to serum NfL concentration in controls (median (IQR); 22.7 (18.9) pg/mL vs 22.5 (24.0) pg/mL; p=0.763). A positive correlation of serum NfL with age was observed in both patients with glaucoma (r=0.77; p<0.001) and in the control group (r=0.82, p<0.001). In the anterior chamber fluid, the NfL concentration was substantially increased in patients with glaucoma compared with controls (20.7 (101.3) pg/mL vs 3.1 (2.9) pg/mL; p<0.001). Furthermore, we found a positive correlation of anterior chamber fluid NfL with preoperative intraocular pressure (r=0.39, p=0.003) and with retinal nerve fibre layer thickness (r=0.58, p<0.001). CONCLUSION NfL levels in anterior chamber fluid are elevated in patients with glaucoma and correlate with intraocular pressure and retinal nerve fibre layer thickness. The presented data strongly support anterior chamber fluid NfL as a new marker for glaucoma.
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Affiliation(s)
- Nora Woltsche
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | | | - Lukas Hoeflechner
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | - Andreas Guttmann
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
| | | | | | | | - Marlene Lindner
- Department of Dentistry, Medical University of Graz, Graz, Steiermark, Austria
| | - Leopold Schmetterer
- Ocular Imaging, Singapore Eye Research Institute, Singapore
- Department of Clinical Pharmacology, Medical University of Vienna, Wien, Austria
| | - Neena Singh
- Department of Pathology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Regina Riedl
- Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria
| | - Arabella Buchmann
- Department of Neurology, Medical University of Graz, Graz, Steiermark, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Steiermark, Austria
| | - Ewald Lindner
- Department of Ophthalmology, Medical University of Graz, Graz, Austria
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18
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Niculae AŞ, Niculae LE, Văcăraş C, Văcăraş V. Serum levels of neurofilament light chains in pediatric multiple sclerosis: a systematic review and meta-analysis. J Neurol 2023; 270:4753-4762. [PMID: 37394516 DOI: 10.1007/s00415-023-11841-9] [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: 04/29/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND Multiple sclerosis is a neuro-inflammatory disease that affects adults and children and causes somatic and cognitive symptoms. Diagnosis after the first clinical symptoms is challenging, involves laboratory and magnetic resonance imaging work-up and is often inconclusive unless subsequent clinical attacks occur. Neurofilament light chains are structural proteins within neurons. Levels of this marker in cerebrospinal fluid, plasma and serum are consistently higher in patients with an initial clinical demyelinating attack that later go on to develop multiple sclerosis. Evidence concerning serum levels of this biomarker in children with multiple sclerosis is scarce. Our aim is to review and analyze the evidence available for patients with multiple sclerosis, under the age of 18. METHODS We conducted a systematic search of PubMed/Medline, Embase, Cochrane Database, and ProQuest. Human studies that provided data on serum levels of Neurofilament light chains in pediatric patients with MS, measured at the time of the first demyelinating attack and before treatment were included in meta-analysis. RESULTS Three studies satisfied the inclusion criteria. 157 pediatric patients with multiple sclerosis and 270 hospital-based controls that did not present with this condition were included in the analysis. A fixed effects meta-analysis showed that the standardized mean difference between patients and controls is 1.82, with a 95% confidence interval of [1.56-2.08]. CONCLUSION Pediatric patients with multiple sclerosis show higher levels of serum neurofilament light chains at their first clinical demyelinating attack compared to pediatric hospital-based controls.
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Affiliation(s)
- Alexandru-Ştefan Niculae
- Second Department of Pediatrics, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
| | - Lucia-Elena Niculae
- Department of Neonatology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Cristiana Văcăraş
- Faculty of Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Vitalie Văcăraş
- Second Department of Neurology, Iuliu Haţieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
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19
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Walia N, Eratne D, Loi SM, Farrand S, Li QX, Malpas CB, Varghese S, Walterfang M, Evans AH, Parker S, Collins SJ, Masters CL, Velakoulis D. Cerebrospinal fluid neurofilament light and cerebral atrophy in younger-onset dementia and primary psychiatric disorders. Intern Med J 2023; 53:1564-1569. [PMID: 36314730 DOI: 10.1111/imj.15956] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 10/03/2022] [Indexed: 09/26/2023]
Abstract
BACKGROUND AND AIMS Neurodegeneration underpins the pathological processes of younger-onset dementia (YOD) and has been implicated in primary psychiatric disorders (PSYs). Cerebrospinal fluid (CSF) neurofilament light (NfL) has been used to investigate neurodegeneration severity through correlation with structural brain changes in various conditions, but has seldom been evaluated in YOD and PSYs. METHODS This retrospective study included patients with YOD or PSYs with magnetic resonance imaging (MRI) of the brain and CSF NfL analysis. Findings from brain MRI were analysed using automated volumetry (volBrain) to measure white matter (WM), grey matter (GM) and whole brain (WB) volumes expressed as percentages of total intracranial volume. Correlations between NfL and brain volume measurements were computed whilst adjusting for age. RESULTS Seventy patients (47 with YOD and 23 with PSY) were identified. YOD types included Alzheimer disease and behavioural variant frontotemporal dementia. PSY included schizophrenia and major depressive disorder. MRI brain sequences were either fast spoiler gradient-echo (FSPGR) or magnetization-prepared rapid acquisition gradient-echo (MPRAGE). In the total cohort, higher NfL was associated with reduced WB in the FSPGR and MPRAGE sequences (r = -0.402 [95% confidence interval (CI), -0.593 to -0.147], P = 0.008 and r = -0.625 [95% CI, -0.828 to -0.395], P < 0.001, respectively). Higher NfL was related to reduced GM in FSPGR (r = 0.385 [95% CI, -0.649 to -0.014], P = 0.017) and reduced WM in MPRAGE (r = -0.650 [95% CI, -0.777 to -0.307], P < 0.001). Similar relationships were seen in YOD, but not in PSY. CONCLUSION Higher CSF NfL is related to brain atrophy in YOD, further supporting its use as a nonspecific marker of neurodegeneration severity.
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Affiliation(s)
- Nirbaanjot Walia
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Samantha M Loi
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sarah Farrand
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Qiao-Xin Li
- National Dementia and Diagnostics Laboratory, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Charles B Malpas
- Clinical Outcomes Research Unit (CORe), Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Shiji Varghese
- National Dementia and Diagnostics Laboratory, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Mark Walterfang
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Andrew H Evans
- Department of Neurology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Shaun Parker
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Steven J Collins
- National Dementia and Diagnostics Laboratory, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Medicine, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Colin L Masters
- National Dementia and Diagnostics Laboratory, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Dennis Velakoulis
- Neuropsychiatry, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
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20
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Elmers J, Colzato LS, Akgün K, Ziemssen T, Beste C. Neurofilaments - Small proteins of physiological significance and predictive power for future neurodegeneration and cognitive decline across the life span. Ageing Res Rev 2023; 90:102037. [PMID: 37619618 DOI: 10.1016/j.arr.2023.102037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/15/2023] [Accepted: 08/17/2023] [Indexed: 08/26/2023]
Abstract
Neurofilaments (NFs) are not only important for axonal integrity and nerve conduction in large myelinated axons but they are also thought to be crucial for receptor and synaptic functioning. Therefore, NFs may play a critical role in cognitive functions, as cognitive processes are known to depend on synaptic integrity and are modulated by dopaminergic signaling. Here, we present a theory-driven interdisciplinary approach that NFs may link inflammation, neurodegeneration, and cognitive functions. We base our hypothesis on a wealth of evidence suggesting a causal link between inflammation and neurodegeneration and between these two and cognitive decline (see Fig. 1), also taking dopaminergic signaling into account. We conclude that NFs may not only serve as biomarkers for inflammatory, neurodegenerative, and cognitive processes but also represent a potential mechanical hinge between them, moreover, they may even have predictive power regarding future cognitive decline. In addition, we advocate the use of both NFs and MRI parameters, as their synthesis offers the opportunity to individualize medical treatment by providing a comprehensive view of underlying disease activity in neurological diseases. Since our society will become significantly older in the upcoming years and decades, maintaining cognitive functions and healthy aging will play an important role. Thanks to technological advances in recent decades, NFs could serve as a rapid, noninvasive, and relatively inexpensive early warning system to identify individuals at increased risk for cognitive decline and could facilitate the management of cognitive dysfunctions across the lifespan.
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Affiliation(s)
- Julia Elmers
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Lorenza S Colzato
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Cognitive Psychology, Faculty of Psychology, Shandong Normal University, Jinan, China.
| | - Katja Akgün
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Hospital Carl Gustav Carus, TU Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany; Cognitive Psychology, Faculty of Psychology, Shandong Normal University, Jinan, China.
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21
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Jeppsson A, Sandelius Å, Zettergren A, Kern S, Skoog I, Blennow K, Zetterberg H, Wikkelsø C, Hellström P, Tullberg M. Plasma and cerebrospinal fluid concentrations of neurofilament light protein correlate in patients with idiopathic normal pressure hydrocephalus. Fluids Barriers CNS 2023; 20:54. [PMID: 37415175 DOI: 10.1186/s12987-023-00455-y] [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: 03/14/2023] [Accepted: 06/23/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Neurofilament light chain protein (NFL), a marker of neuronal axonal degeneration, is increased in cerebrospinal fluid (CSF) of patients with idiopathic normal pressure hydrocephalus (iNPH). Assays for analysis of NFL in plasma are now widely available but plasma NFL has not been reported in iNPH patients. Our aim was to examine plasma NFL in iNPH patients and to evaluate the correlation between plasma and CSF levels, and whether NFL levels are associated with clinical symptoms and outcome after shunt surgery. METHODS Fifty iNPH patients with median age 73 who had their symptoms assessed with the iNPH scale and plasma and CSF NFL sampled pre- and median 9 months post-operatively. CSF plasma was compared with 50 healthy controls (HC) matched for age and gender. Concentrations of NFL were determined in plasma using an in-house Simoa method and in CSF using a commercially available ELISA method. RESULTS Plasma NFL was elevated in patients with iNPH compared to HC (iNPH: 45 (30-64) pg/mL; HC: 33 (26-50) (median; Q1-Q3), p = 0.029). Plasma and CSF NFL concentrations correlated in iNPH patients both pre- and postoperatively (r = 0.67 and 0.72, p < 0.001). We found only weak correlations between plasma or CSF NFL and clinical symptoms and no associations with outcome. A postoperative NFL increase was seen in CSF but not in plasma. CONCLUSIONS Plasma NFL is increased in iNPH patients and concentrations correlate with CSF NFL implying that plasma NFL can be used to assess evidence of axonal degeneration in iNPH. This finding opens a window for plasma samples to be used in future studies of other biomarkers in iNPH. NFL is probably not a very useful marker of symptomatology or for prediction of outcome in iNPH.
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Affiliation(s)
- A Jeppsson
- Hydrocephalus Research Unit, Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 7, 41345, Gothenburg, Sweden
| | - Å Sandelius
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - K Blennow
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, 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
| | - C Wikkelsø
- Hydrocephalus Research Unit, Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 7, 41345, Gothenburg, Sweden
| | - P Hellström
- Hydrocephalus Research Unit, Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 7, 41345, Gothenburg, Sweden
| | - M Tullberg
- Hydrocephalus Research Unit, Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 7, 41345, Gothenburg, Sweden.
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22
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Andreasson U, Gobom J, Delatour V, Auclair G, Noam Y, Lee S, Wen J, Jeromin A, Arslan B, Maceski A, Willemse E, Zetterberg H, Kuhle J, Blennow K. Assessing the commutability of candidate reference materials for the harmonization of neurofilament light measurements in blood. Clin Chem Lab Med 2023; 61:1245-1254. [PMID: 36709509 DOI: 10.1515/cclm-2022-1181] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 01/13/2023] [Indexed: 01/30/2023]
Abstract
OBJECTIVES Neurofilament light chain (NfL) concentration in blood is a biomarker of neuro-axonal injury in the nervous system and there now exist several assays with high enough sensitivity to measure NfL in serum and plasma. There is a need for harmonization with the goal of creating a certified reference material (CRM) for NfL and an early step in such an effort is to determine the best matrix for the CRM. This is done in a commutability study and here the results of the first one for NfL in blood is presented. METHODS Forty paired individual serum and plasma samples were analyzed for NfL on four different analytical platforms. Neat and differently spiked serum and plasma were evaluated for their suitability as a CRM using the difference in bias approach. RESULTS The correlation between the different platforms with regards to measured NfL concentrations were very high (Spearman's ρ≥0.96). Samples spiked with cerebrospinal fluid (CSF) showed higher commutability compared to samples spiked with recombinant human NfL protein and serum seems to be a better choice than plasma as the matrix for a CRM. CONCLUSIONS The results from this first commutability study on NfL in serum/plasma showed that it is feasible to create a CRM for NfL in blood and that spiking should be done using CSF rather than with recombinant human NfL protein.
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Affiliation(s)
- Ulf Andreasson
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | | | - Guy Auclair
- European Commission, Joint Research Centre (JRC), Geel, Belgium
| | - Yoav Noam
- ProteinSimple, a Bio-Techne Brand, Wallingford, CT, USA
| | - Stephen Lee
- Siemens Healthcare Laboratory, Berkeley, CA, USA
| | - Jason Wen
- Siemens Healthcare Laboratory, Berkeley, CA, USA
| | | | - Burak Arslan
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Aleksandra Maceski
- Neurology, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Eline Willemse
- Neurology, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Jens Kuhle
- Neurology, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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23
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McCluskey G, Morrison KE, Donaghy C, McConville J, McCarron MO, McVerry F, Duddy W, Duguez S. Serum Neurofilaments in Motor Neuron Disease and Their Utility in Differentiating ALS, PMA and PLS. Life (Basel) 2023; 13:1301. [PMID: 37374084 DOI: 10.3390/life13061301] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
Neurofilament levels are elevated in many neurodegenerative diseases and have shown promise as diagnostic and prognostic biomarkers in Amyotrophic Lateral Sclerosis (ALS), the most common form of Motor Neuron Disease (MND). This study assesses serum neurofilament light (NFL) and neurofilament heavy (NFH) chain concentrations in patients with ALS, other variants of motor neuron disease such as Progressive Muscular Atrophy (PMA) and Primary Lateral Sclerosis (PLS), and a range of other neurological diseases. It aims to evaluate the use of NFL and NFH to differentiate these conditions and for the prognosis of MND disease progression. NFL and NFH levels were quantified using electrochemiluminescence immunoassays (ECLIA). Both were elevated in 47 patients with MND compared to 34 patients with other neurological diseases and 33 healthy controls. NFL was able to differentiate patients with MND from the other groups with a Receiver Operating Characteristic (ROC) curve area under the curve (AUC) of 0.90 (p < 0.001). NFL correlated with the rate of disease progression in MND (rho 0.758, p < 0.001) and with the ALS Functional Rating Scale (rho -0.335, p = 0.021). NFL levels were higher in patients with ALS compared to both PMA (p = 0.032) and PLS (p = 0.012) and were able to distinguish ALS from both PMA and PLS with a ROC curve AUC of 0.767 (p = 0.005). These findings support the use of serum NFL to help diagnose and differentiate types of MND, in addition to providing prognostic information to patients and their families.
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Affiliation(s)
- Gavin McCluskey
- Personalised Medicine Centre, School of Medicine, Ulster University, Derry BT47 6SB, UK
- Department of Neurology, Royal Victoria Hospital, Belfast BT12 6BA, UK
- Department of Neurology, Altnagelvin Hospital, Derry BT47 6SB, UK
| | - Karen E Morrison
- Department of Neurology, Royal Victoria Hospital, Belfast BT12 6BA, UK
- Faculty of Medicine, Health & Life Sciences, Queen's University, Belfast BT9 6AG, UK
| | - Colette Donaghy
- Department of Neurology, Altnagelvin Hospital, Derry BT47 6SB, UK
| | - John McConville
- Department of Neurology, Royal Victoria Hospital, Belfast BT12 6BA, UK
- Department of Neurology, Ulster Hospital, Belfast BT16 1RH, UK
| | - Mark O McCarron
- Department of Neurology, Altnagelvin Hospital, Derry BT47 6SB, UK
| | - Ferghal McVerry
- Department of Neurology, Altnagelvin Hospital, Derry BT47 6SB, UK
| | - William Duddy
- Personalised Medicine Centre, School of Medicine, Ulster University, Derry BT47 6SB, UK
| | - Stephanie Duguez
- Personalised Medicine Centre, School of Medicine, Ulster University, Derry BT47 6SB, UK
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24
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Davies JC, Dharmadasa T, Thompson AG, Edmond EC, Yoganathan K, Gao J, Talbot K, Turner MR. Limited value of serum neurofilament light chain in diagnosing amyotrophic lateral sclerosis. Brain Commun 2023; 5:fcad163. [PMID: 37292457 PMCID: PMC10244039 DOI: 10.1093/braincomms/fcad163] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/21/2023] [Accepted: 05/17/2023] [Indexed: 06/10/2023] Open
Abstract
A biomarker specific for the diagnosis of amyotrophic lateral sclerosis must be sensitive across a spectrum of clinical heterogeneity. Neurofilament light chain levels in amyotrophic lateral sclerosis correlate with the rate of disability progression. Previous attempts to establish a diagnostic role for neurofilament light chain have been limited to comparison with healthy individuals or controls with alternative diagnoses unlikely to be confused with amyotrophic lateral sclerosis in real-world clinical practice. In a tertiary amyotrophic lateral sclerosis referral clinic, at first visit, serum was taken for neurofilament light chain measurement after prospectively recording the clinical diagnosis as 'amyotrophic lateral sclerosis', 'primary lateral sclerosis', 'alternative' or 'currently uncertain'. Of 133 referrals, 93 patients were diagnosed with amyotrophic lateral sclerosis (median neurofilament light chain 218.1 pg/ml, interquartile range 130.7-311.9), three primary lateral sclerosis (65.6, 51.5-106.9) and 19 alternative diagnoses (45.2, 13.5-71.9) at first visit. Of 18 initially uncertain diagnoses, eight were subsequently diagnosed with amyotrophic lateral sclerosis (98.5, 45.3-300.1). Neurofilament light chain ≥110.9 pg/ml had a positive predictive value of 0.92 for amyotrophic lateral sclerosis; <110.9 pg/ml had a negative predictive value of 0.48. In a specialized clinic, neurofilament light chain is largely confirmatory to clinical judgement in diagnosing amyotrophic lateral sclerosis and has limited ability to exclude alternative diagnoses. The current, important, value of neurofilament light chain is its potential to stratify patients with amyotrophic lateral sclerosis by disease activity and as a biomarker in therapeutic trials.
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Affiliation(s)
| | | | | | - Evan C Edmond
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Katie Yoganathan
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Jiali Gao
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Kevin Talbot
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - Martin R Turner
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
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25
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Ripamonti E, Edén A, Nilsson S, Sönnerborg A, Zetterberg H, Gisslén M. Longitudinal decline of plasma neurofilament light levels after antiretroviral initiation in people living with HIV. J Intern Med 2023; 293:445-456. [PMID: 36443917 DOI: 10.1111/joim.13594] [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] [Indexed: 11/30/2022]
Abstract
BACKGROUND This retrospective follow-up study aims to investigate the dynamic longitudinal change of plasma neurofilament light (NfL) levels after antiretroviral therapy (ART) initiation in a cohort of people living with human immunodeficiency virus (HIV) (PWH). METHODS We tested a convenience sample of 116 patients from the NORTHIV study. Plasma NfL levels-measured using Single molecule array (Simoa) technology-as well as other laboratory parameters were collected at baseline, weeks 4, 48, 96, and 144. Linear mixed-effects models were estimated to evaluate longitudinal change over time. Baseline CD4+ T-cell levels, CDC classification, and HIV RNA levels were considered. Models were adjusted by age, sex, treatment regimen, and baseline serum creatinine levels. RESULTS Plasma NfL levels were higher at baseline and also declined faster during the follow-up for participants with CD4+ count <100 cells/µl compared with >100 cells/µl. No significant difference was found between the CD4+ strata 100-199 and 200-499/µl. Participants with CDC classification stages B and C had higher levels of plasma NfL at baseline, as well as faster decline compared with participants with stage A. No significant main effects or change over time was found in baseline HIV RNA levels, treatment regimen, or sex. CONCLUSION Plasma NfL is a sensitive biomarker to assess ongoing central nervous system injury in PWH. Plasma NfL concentrations decline relatively fast following ART initiation and then stabilize after 48 weeks. Plasma NfL concentrations are associated with CD4+ count and stage of HIV disease. No correlations were seen with different ART regimens.
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Affiliation(s)
- Enrico Ripamonti
- Milan Center for Neuroscience, University of Milan-Bicocca, Milan, Italy.,Department of Economics and Management, University of Brescia, Brescia, Italy
| | - Arvid Edén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Infectious Diseases, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Staffan Nilsson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anders Sönnerborg
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.,Division of Infectious Diseases, Department of Medicine Huddinge, Karolinska Institute, Stockholm, Sweden.,Division of Clinical Microbiology, Department of Laboratory Medicine ANA Futura Laboratory, Karolinska Institute, Stockholm, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, 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
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Infectious Diseases, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
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26
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Gigase FAJ, Smith E, Collins B, Moore K, Snijders GJLJ, Katz D, Bergink V, Perez-Rodriquez MM, De Witte LD. The association between inflammatory markers in blood and cerebrospinal fluid: a systematic review and meta-analysis. Mol Psychiatry 2023; 28:1502-1515. [PMID: 37055513 PMCID: PMC10266485 DOI: 10.1038/s41380-023-01976-6] [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: 07/28/2022] [Revised: 01/06/2023] [Accepted: 01/19/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND Neuroinflammatory processes have been hypothesized to play a role in the pathogenesis of psychiatric and neurological diseases. Studies on this topic often rely on analysis of inflammatory biomarkers in peripheral blood. Unfortunately, the extent to which these peripheral markers reflect inflammatory processes in the central nervous system (CNS) is unclear. METHODS We performed a systematic review and found 29 studies examining the association between inflammatory marker levels in blood and cerebrospinal (CSF) samples. We performed a random effects meta-analysis of 21 studies (pooled n = 1679 paired samples) that reported the correlation of inflammatory markers in paired blood-CSF samples. RESULTS A qualitative review revealed moderate to high quality of included studies with the majority of studies reporting no significant correlation of inflammatory markers between paired blood-CSF. Meta-analyses revealed a significant low pooled correlation between peripheral and CSF biomarkers (r = 0.21). Meta-analyses of individual cytokines revealed a significant pooled correlation for IL-6 (r = 0.26) and TNFα (r = 0.3) after excluding outlier studies, but not for other cytokines. Sensitivity analyses showed that correlations were highest among participants with a median age above 50 (r = 0.46) and among autoimmune disorder patients (r = 0.35). CONCLUSION This systematic review and meta-analysis revealed poor correlation between peripheral and central inflammatory markers in paired blood-CSF samples, with increased correlations in certain study populations. Based on the current findings, peripheral inflammatory markers are a poor reflection of the neuroinflammatory profile.
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Affiliation(s)
- Frederieke A J Gigase
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
- Department of Clinical and Medical Psychology, Tilburg University, Tilburg, The Netherlands.
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Emma Smith
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Brett Collins
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Kendall Moore
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Gijsje J L J Snijders
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Daniel Katz
- Department of Anesthesiology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Veerle Bergink
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | | | - Lotje D De Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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27
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Rattanawong W, Ongphichetmetha T, Hemachudha T, Thanapornsangsuth P. Neurofilament light is associated with clinical outcome and hemorrhagic transformation in moderate to severe ischemic stroke. J Cent Nerv Syst Dis 2023; 15:11795735221147212. [PMID: 36632518 PMCID: PMC9827527 DOI: 10.1177/11795735221147212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/22/2022] [Accepted: 12/06/2022] [Indexed: 01/05/2023] Open
Abstract
Background Ischemic stroke is a leading cause of morbidity and mortality worldwide. One possible predictor is the use of biomarkers especially neurofilament light chain (NFL). Objectives To explore whether NFL could predict clinical outcome and hemorrhagic transformation in moderate to severe stroke. Design Single center prospective cohort study. Methods Fifty-one moderate to severe ischemic stroke patients were recruited. Blood NFL was obtained from patients at admission (First sample) and 24-96 hours later (Second sample). NFL was analyzed with the ultrasensitive single molecule array (Simoa). Later, we calculated incremental rate NFL (IRN) by changes in NFL per day from baseline. We evaluated National Institute of Health stroke scale (NIHSS), modified Rankins score (mRs), and the presence of hemorrhagic transformation (HT). Results IRN was found to be higher in patients with unfavorable outcome (7.12 vs 24.07, P = .04) as well as Second sample (49.06 vs 71.41, P = .011), while NFL First sample was not significant. IRN had a great correlation with mRS (r = .552, P < .001). Univariate logistic regression model showed OR of IRN and Second sample to be 1.081 (95% CI 1.016-1.149, P = .013) and 1.019 (1.002-1.037, P = .03), respectively. Multiple logistic regression model has shown to be significant. In receiver operating analysis, IRN, Second sample, combined IRN with NIHSS and combined Second sample with NIHSS showed AUC (.744, P = .004; 0.713, P = .01; 0.805, P < .001; 0.803, P < .001, respectively). For HT, First sample and Second sample had significant difference with HT (Z = 2.13, P = .033; Z = 2.487, P = .013, respectively). Conclusion NFL was found to correlate and predict clinical outcome. In addition, it was found to correlate with HT.
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Affiliation(s)
- Wanakorn Rattanawong
- Department of Medicine, Faculty of
Medicine, King Mongkut’s Institute of
Technology Ladkrabang, Bangkok, Thailand,Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand
| | - Tatchaporn Ongphichetmetha
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand
| | - Thiravat Hemachudha
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand,Thai Red Cross Emerging Infectious
Diseases Health Science Centre, World Health Organization Collaborating Centre
for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital
The Thai Red Cross Society, Bangkok, Thailand
| | - Poosanu Thanapornsangsuth
- Division of Neurology, Department
of Medicine, Faculty of Medicine, Chulalongkorn
University, Bangkok, Thailand,Thai Red Cross Emerging Infectious
Diseases Health Science Centre, World Health Organization Collaborating Centre
for Research and Training on Viral Zoonoses, King Chulalongkorn Memorial Hospital
The Thai Red Cross Society, Bangkok, Thailand,Poosanu Thanapornsangsuth MD, Thai Red
Cross Emerging Infectious Diseases Health Science Centre, World Health
Organization Collaborating Centre for Research and Training on Viral Zoonoses,
King Chulalongkorn Memorial Hospital The Thai Red Cross Society, 9th Floor, Aor
Por Ror Building, 1873 Rama IV Road, Pathumwan, Bangkok, Thailand 10330. E-mail:
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28
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Tang R, Panizzon MS, Elman JA, Gillespie NA, Hauger RL, Rissman RA, Lyons MJ, Neale MC, Reynolds CA, Franz CE, Kremen WS. Association of neurofilament light chain with renal function: mechanisms and clinical implications. Alzheimers Res Ther 2022; 14:189. [PMID: 36527130 PMCID: PMC9756450 DOI: 10.1186/s13195-022-01134-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/03/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Blood-based neurofilament light chain (NfL) is a promising biomarker of neurodegeneration across multiple neurodegenerative diseases. However, blood-based NfL is highly associated with renal function in older adults, which leads to the concern that blood-based NfL levels may be influenced by renal function, rather than neurodegeneration alone. Despite growing interest in using blood-based NfL as a biomarker of neurodegeneration in research and clinical practices, whether renal function should always be accounted for in these settings remains unclear. Moreover, the mechanisms underlying this association between blood-based measures of NfL and renal function remain elusive. In this study, we first evaluated the effect of renal function on the associations of plasma NfL with other measures of neurodegeneration. We then examined the extent of genetic and environmental contributions to the association between plasma NfL and renal function. METHODS In a sample of 393 adults (mean age=75.22 years, range=54-90), we examined the associations of plasma NfL with cerebrospinal fluid (CSF) NfL and brain volumetric measures before and after adjusting for levels of serum creatinine (an index of renal function). In an independent sample of 969 men (mean age=67.57 years, range=61-73) that include monozygotic and dizygotic twin pairs, we replicated the same analyses and leveraged biometrical twin modeling to examine the genetic and environmental influences on the plasma NfL and creatinine association. RESULTS Plasma NfL's associations with cerebrospinal fluid NfL and brain volumetric measures did not meaningfully change after adjusting for creatinine levels. Both plasma NfL and creatinine were significantly heritable (h2=0.54 and 0.60, respectively). Their phenotypic correlation (r=0.38) was moderately explained by shared genetic influences (genetic correlation=0.46) and unique environmental influences (unique environmental correlation=0.27). CONCLUSIONS Adjusting for renal function is unnecessary when assessing associations between plasma NfL and other measures of neurodegeneration but is necessary if plasma NfL is compared to a cutoff for classifying neurodegeneration-positive versus neurodegeneration-negative individuals. Blood-based measures of NfL and renal function are heritable and share common genetic influences.
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Affiliation(s)
- Rongxiang Tang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA.
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA.
| | - Matthew S Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jeremy A Elman
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA
| | - Nathan A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Richard L Hauger
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA
- Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA, 92093, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego, CA, 92093, La Jolla, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, 02212, USA
| | - Michael C Neale
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, 92521, USA
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA
| | - William S Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, 92093, USA
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Fundaun J, Kolski M, Molina-Álvarez M, Baskozos G, Schmid AB. Types and Concentrations of Blood-Based Biomarkers in Adults With Peripheral Neuropathies: A Systematic Review and Meta-analysis. JAMA Netw Open 2022; 5:e2248593. [PMID: 36574244 PMCID: PMC9857490 DOI: 10.1001/jamanetworkopen.2022.48593] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/09/2022] [Indexed: 12/28/2022] Open
Abstract
Importance Peripheral neuropathies are common conditions and can result in numbness, paresthesia, motor deficits, and pain. There is increasing evidence for the use of biomarkers as clinical indicators of the presence, severity, and prognosis of nerve lesions; however, biomarker identification has largely been focused on disorders of the central nervous system, and less is known about their role in the peripheral nervous system. Objective To assess blood-based biomarker concentrations associated with nerve involvement in patients with peripheral neuropathy compared with control participants. Data Sources Ovid, MEDLINE, Embase, and CINAHL were searched from inception to September 23, 2021. Study Selection Observational studies reporting on blood biomarkers in patients diagnosed with peripheral neuropathy were included. This review was preregistered on PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Data were abstracted by 1 investigator and independently reviewed by a second. Data Extraction and Synthesis Data were meta-analyzed when at least 2 studies reported the same biomarker with comparable methodology. Fixed-effects models were used when only 2 studies were included; random-effects models were used when more than 2 studies were included. Main Outcomes and Measures The outcome of interest was concentration of biomarkers. Results This review included 36 studies reporting on 4414 participants, including 2113 control participants and 2301 patients with peripheral neuropathy with 13 distinct peripheral neuropathy diagnoses. Diabetic neuropathy was the most common neuropathy diagnosis (13 studies), followed by Charcot-Marie-Tooth disease (6 studies) and Guillain-Barre syndrome (6 studies). Overall, 16 different blood-based biomarkers associated with nerve involvement were evaluated. The most used were neurofilament light chain, S100B, brain-derived neurotrophic factor, and neuron-specific enolase. Patients with peripheral neuropathy demonstrated significantly higher levels of neurofilament light chain compared with controls (standardized mean difference [SMD], 0.93 [95% CI, 0.82 to 1.05]; P < .001). There were no significant differences in levels of S100B (SMD, 1.10 [95% CI, -3.08 to 5.28]; P = .38), brain-derived neurotrophic factor (SMD, -0.52 [95% CI, -2.23 to 1.19]; P = .40), or neuron-specific enolase (SMD, -0.00 [95% CI, -1.99 to 1.98]; P = .10) in patients with peripheral neuropathy compared with control participants. Conclusions and Relevance The findings of this systematic review and meta-analysis support the use of neurofilament light chain as a blood-based measure associated with the presence of neuronal injury in patients with peripheral neuropathy.
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Affiliation(s)
- Joel Fundaun
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Melissa Kolski
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
- Musculoskeletal Outpatient Department, Shirley Ryan AbilityLab, Chicago, Illinois
| | - Miguel Molina-Álvarez
- Area of Pharmacology, Nutrition, and Bromatology, Department of Basic Health Sciences, Universidad Rey Juan Carlos, Madrid, Spain
| | - Georgios Baskozos
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Annina B. Schmid
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
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Tyrberg E, Hagberg L, Andersson LM, Nilsson S, Yilmaz A, Mellgren Å, Blennow K, Zetterberg H, Gisslén M. The effect of vitamin B supplementation on neuronal injury in people living with HIV: a randomized controlled trial. Brain Commun 2022; 4:fcac259. [PMID: 36337345 PMCID: PMC9631976 DOI: 10.1093/braincomms/fcac259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 06/21/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022] Open
Abstract
Effective antiretroviral therapy has radically changed the course of the HIV pandemic. However, despite efficient therapy, milder forms of neurocognitive symptoms are still present in people living with HIV. Plasma homocysteine is a marker of vitamin B deficiency and has been associated with cognitive impairment. People living with HIV have higher homocysteine concentrations than HIV-negative controls, and we have previously found an association between plasma homocysteine concentration and CSF concentration of neurofilament light protein, a sensitive marker for ongoing neuronal injury in HIV. This prompted us to perform this randomized controlled trial, to evaluate the effect of vitamin B supplementation on neuronal injury in a cohort of people living with HIV on stable antiretroviral therapy. At the Department of Infectious Diseases at Sahlgrenska University Hospital in Gothenburg, Sweden, 124 virally suppressed people living with HIV were screened to determine eligibility for this study. Sixty-one fulfilled the inclusion criteria by having plasma homocysteine levels at or above 12 μmol/l. They were randomized (1:1) to either active treatment (with cyanocobalamin 0.5 mg, folic acid 0.8 mg and pyridoxine 3.0 mg) q.d. or to a control arm with a cross over to active treatment after 12 months. Cognitive function was measured repeatedly during the trial, which ran for 24 months. We found a significant correlation between plasma neurofilament light protein and plasma homocysteine at screening (n = 124, r = 0.35, P < 0.0001). Plasma homocysteine levels decreased by 35% from a geometric mean of 15.7 μmol/l (95% confidence interval 14.7–16.7) to 10.3 μmol/l (95% confidence interval 9.3–11.3) in the active treatment arm between baseline and Month 12. No significant change was detected in the control arm during the same time period [geometric mean 15.2 (95% confidence interval 14.3–16.2) versus geometric mean 16.5 μmol/l (95% confidence interval 14.7–18.6)]. A significant difference in change in plasma homocysteine levels was seen between arms at 12 months [−40% (95% confidence interval −48 to −30%), P < 0.001]. However, no difference between arms was seen in either plasma neurofilament light protein levels [−6.5% (−20 to 9%), P = 0.39], or cognitive measures [−0.08 (−0.33 to 0.17), P = 0.53]. Our results do not support a vitamin B–dependent cause of the correlation between neurofilament light protein and homocysteine. Additional studies are needed to further elucidate this matter.
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Affiliation(s)
- Erika Tyrberg
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
| | - Lars Hagberg
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
| | - Lars-Magnus Andersson
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
| | - Staffan Nilsson
- Department of Mathematical Sciences, Chalmers University of Technology , Gothenburg , Sweden
- Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg , Gothenburg , Sweden
| | - Aylin Yilmaz
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
| | - Åsa Mellgren
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
| | - 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 , Hong Kong , China
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy at the University of Gothenburg , Gothenburg , Sweden
- Department of Infectious Diseases, Sahlgrenska University Hospital , Gothenburg , Sweden
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31
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Mak G, Menon S, Lu JQ. Neurofilaments in neurologic disorders and beyond. J Neurol Sci 2022; 441:120380. [PMID: 36027641 DOI: 10.1016/j.jns.2022.120380] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/07/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022]
Abstract
Many neurologic diseases can initially present as a diagnostic challenge and even when a diagnosis is made, monitoring of disease activity, progression and response to therapy may be limited with existing clinical and paraclinical assessments. As such, the identification of disease specific biomarkers provides a promising avenue by which diseases can be effectively diagnosed, monitored and used as a prognostic indicator for long-term outcomes. Neurofilaments are an integral component of the neuronal cytoskeleton, where assessment of neurofilaments in the blood, cerebrospinal fluid (CSF) and diseased tissue has been shown to have value in providing diagnostic clarity, monitoring disease activity, tracking progression and treatment efficacy, as well as lending prognostic insight into long-term outcomes. As such, this review attempts to provide a glimpse into the structure and function of neurofilaments, their role in various neurologic and non-neurologic disorders, including uncommon conditions with recent knowledge of neurofilament-related pathology, as well as their applicability in future clinical practice.
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Affiliation(s)
- Gloria Mak
- McMaster University, Department of Medicine, Hamilton, Ontario, Canada
| | - Suresh Menon
- McMaster University, Department of Medicine, Hamilton, Ontario, Canada
| | - Jian-Qiang Lu
- McMaster University, Department of Pathology and Molecular Medicine, Hamilton, Ontario, Canada.
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32
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Hansen N, Rauter C, Wiltfang J. [Blood Based Biomarker for Optimization of Early and Differential Diagnosis of Alzheimer's Dementia]. FORTSCHRITTE DER NEUROLOGIE-PSYCHIATRIE 2022; 90:326-335. [PMID: 35858611 DOI: 10.1055/a-1839-6237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
AIM Dementia in Alzheimer´s disease is a global challenge. There is growing evidence that investigating blood biomarkers to diagnose Alzheimer´s disease is a promising fast, minimally invasive, and less costly method. The aim of this study was to review available studies on promising biomarkers for Alzheimer´s disease. METHOD The latest studies were collated for this review. RESULTS Immunoassays followed by mass spectrometry and immunomagnetic reduction were reported to be highly relevant methods for detecting amyloid-ß 42 (Aß42) and amyloid-ß 40 (Aß40) to calculate the Aß42/Aß40 ratio, thereby improving the early diagnosis of Alzheimer´s disease. Amyloid-ß (Aß) peptides in blood plasma were considered as potential markers, as they correlated with the brain's Aß pathology. Phosphorylated tau protein 181 (p-tau181), phosphorylated tau protein 217 (p-tau217) and phosphorylated tau protein 231 (p-tau231) in blood samples assessed via Simoa technology served as parameters for the early and differential diagnosis of AD, and were markers of tau pathology in the brain. Neurofilament light chain (Nfl) and glial fibrillary acid protein (GFAP) were additional markers possibly facilitating the assessment of axonal and astroglial brain damage in Alzheimer´s disease. GFAP in blood was useful as an additional marker to detect early and to predict the time course of Alzheimer´s disease. CONCLUSIONS Determining blood biomarkers represents less invasive and less costly diagnostics for Alzheimer´s disease. The investigation of blood biomarkers such as the Aß42/Aß40 ratio, p-tau217, p-tau231, Nfl and GFAP have been promising in establishing the AT(N) classification for Alzheimer´s disease. High-throughput methods should be evaluated in large patient cohort studies and via meta-analyses of studies. Consensus criteria with standard protocols for measuring these biomarkers while considering ethical issues and Alzheimer´s phenotype should unify normative values from different laboratories. The AT(N) classification of Alzheimer´s disease in blood would be a key element towards the implementation of minimally-invasive precision medicine.
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Affiliation(s)
- Niels Hansen
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin, Göttingen, Deutschland
| | - Carolin Rauter
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin, Göttingen, Deutschland
| | - Jens Wiltfang
- Klinik für Psychiatrie und Psychotherapie, Universitätsmedizin, Göttingen, Deutschland.,Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Göttingen, Deutschland.,Neurosciences and Signaling Group, Biomedizinisches Institut (iBiMED), Abteilung für medizinische Wissenschaft, Universität Aveiro, Aveiro, Portugal
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33
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Park SA, Jang YJ, Kim MK, Lee SM, Moon SY. Promising Blood Biomarkers for Clinical Use in Alzheimer's Disease: A Focused Update. J Clin Neurol 2022; 18:401-409. [PMID: 35796265 PMCID: PMC9262460 DOI: 10.3988/jcn.2022.18.4.401] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/29/2022] [Accepted: 04/29/2022] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most-common cause of neurodegenerative dementia, and it is characterized by abnormal amyloid and tau accumulation, which indicates neurodegeneration. AD has mostly been diagnosed clinically. However, ligand-specific positron emission tomography (PET) imaging, such as amyloid PET, and cerebrospinal fluid (CSF) biomarkers are needed to accurately diagnose AD, since they supplement the shortcomings of clinical diagnoses. Using biomarkers that represent the pathology of AD is essential (particularly when disease-modifying treatment is available) to identify the corresponding pathology of targeted therapy and for monitoring the treatment response. Although imaging and CSF biomarkers are useful, their widespread use is restricted by their high cost and the discomfort during the lumbar puncture, respectively. Recent advances in AD blood biomarkers shed light on their future use for clinical purposes. The amyloid β (Aβ)42/Aβ40 ratio and the concentrations of phosphorylated tau at threonine 181 and at threonine 217, and of neurofilament light in the blood were found to represent the pathology of Aβ, tau, and neurodegeneration in the brain when using automatic electrochemiluminescence technologies, single-molecule arrays, immunoprecipitation coupled with mass spectrometry, etc. These blood biomarkers are imminently expected to be incorporated into clinical practice to predict, diagnose, and determine the stage of AD. In this review we focus on advancements in the measurement technologies for blood biomarkers and the promising biomarkers that are approaching clinical application. We also discuss the current limitations, the needed further investigations, and the perspectives on their use.
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Affiliation(s)
- Sun Ah Park
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Department of Neurology, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea.
| | - Yu Jung Jang
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Min Kyoung Kim
- Lab for Neurodegenerative Dementia, Department of Anatomy, Ajou University School of Medicine, Suwon, Korea.,Neuroscience Graduate Program, Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Korea
| | - Sun Min Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
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34
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Hawksworth J, Fernández E, Gevaert K. A new generation of AD biomarkers: 2019 to 2021. Ageing Res Rev 2022; 79:101654. [PMID: 35636691 DOI: 10.1016/j.arr.2022.101654] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 05/17/2022] [Accepted: 05/25/2022] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease (AD) is the most common form of dementia and cases are rising worldwide. The effort to fight this disease is hampered by a lack of disease-modifying treatments and the absence of an early, accurate diagnostic tool. Neuropathology begins years or decades before symptoms occur and, upon onset of symptoms, diagnosis can take a year or more. Such delays postpone treatment and make research into the early stages of the disease difficult. Ideally, clinicians require a minimally invasive test that can detect AD in its early stages, before cognitive symptoms occur. Advances in proteomic technologies have facilitated the study of promising biomarkers of AD. Over the last two years (2019-2021) studies have identified and validated many species which can be measured in cerebrospinal fluid (CSF), plasma, or in both fluids, and which have a high predictive value for AD. We herein discuss proteins which have been highlighted as promising biomarkers of AD in the last two years, and consider implications for future research within the research framework of the amyloid (A), tau (T), neurodegeneration (N) scoring system. We review recently identified species of amyloid and tau which may improve diagnosis when used in combination with current measures such as amyloid-beta-42 (Aβ42), total tau (t-tau) and phosphorylated tau (p-tau). In addition, several proteins have been identified as likely proxies for neurodegeneration, including neurofilament light (NfL), synaptosomal-associated protein 25 (SNAP-25) and neurogranin (NRGN). Finally, proteins originating from diverse processes such as neuroinflammation, lipid transport and mitochondrial dysfunction could aid in both AD diagnosis and patient stratification.
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35
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Wilke C, Mengel D, Schöls L, Hengel H, Rakowicz M, Klockgether T, Durr A, Filla A, Melegh B, Schüle R, Reetz K, Jacobi H, Synofzik M. Levels of Neurofilament Light at the Preataxic and Ataxic Stages of Spinocerebellar Ataxia Type 1. Neurology 2022; 98:e1985-e1996. [PMID: 35264424 DOI: 10.1212/wnl.0000000000200257] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 02/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Neurofilament light (NfL) appears to be a promising fluid biomarker in repeat-expansion spinocerebellar ataxias (SCAs), with piloting studies in mixed SCA cohorts suggesting that NfL might be increased at the ataxic stage of SCA type 1 (SCA1). We here hypothesized that NfL is increased not only at the ataxic stage of SCA1, but also at its (likely most treatment-relevant) preataxic stage. METHODS We assessed serum NfL (sNfL) and CSF NfL (cNfL) levels in both preataxic and ataxic SCA1, leveraging a multicentric cohort recruited at 6 European university centers, and clinical follow-up data, including actually observed (rather than only predicted) conversion to the ataxic stage. Levels of sNfL and cNfL were assessed by single-molecule array and ELISA technique, respectively. RESULTS Forty individuals with SCA1 (23 preataxic, 17 ataxic) and 89 controls were enrolled, including 11 preataxic individuals converting to the ataxic stage. sNfL levels were increased at the preataxic (median 15.5 pg/mL [interquartile range 10.5-21.1 pg/mL]) and ataxic stage (31.6 pg/mL [26.2-37.7 pg/mL]) compared to controls (6.0 pg/mL [4.7-8.6 pg/mL]), yielding high age-corrected effect sizes (preataxic: r = 0.62, ataxic: r = 0.63). sNfL increases were paralleled by increases of cNfL at both the preataxic and ataxic stage. In preataxic individuals, sNfL levels increased with proximity to predicted ataxia onset, with significant sNfL elevations already 5 years before onset, and confirmed in preataxic individuals with actually observed ataxia onset. sNfL increases were detected already in preataxic individuals with SCA1 without volumetric atrophy of cerebellum or pons, suggesting that sNfL might be more sensitive to early preataxic neurodegeneration than the currently known most change-sensitive regions in volumetric MRI. Using longitudinal sNfL measurements, we estimated sample sizes for clinical trials with the reduction of sNfL as the endpoint. DISCUSSION sNfL levels might provide easily accessible peripheral biomarkers in both preataxic and ataxic SCA1, allowing stratification of preataxic individuals regarding proximity to onset, early detection of neurodegeneration even before volumetric MRI alterations, and potentially capture of treatment response in clinical trials. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov Identifier: NCT01037777. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that NfL levels are increased in both ataxic and preataxic SCA1 and are associated with ataxia onset.
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Affiliation(s)
- Carlo Wilke
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - David Mengel
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Ludger Schöls
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Holger Hengel
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Maria Rakowicz
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Thomas Klockgether
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Alexandra Durr
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Alessandro Filla
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Bela Melegh
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Rebecca Schüle
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Kathrin Reetz
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Heike Jacobi
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
| | - Matthis Synofzik
- From the Division Translational Genomics of Neurodegenerative Diseases (C.W., D.M., M.S.) and Department of Neurodegenerative Diseases (L.S., H.H., R.S.), Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen; German Center for Neurodegenerative Diseases (DZNE) (C.W., D.M., L.S., H.H., R.S., M.S.), Tübingen, Germany; First Department of Neurology (M.R.), Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Neurology (T.K.), University Hospital Bonn; German Center for Neurodegenerative Diseases (DZNE) (T.K., H.J.), Bonn, Germany; Sorbonne Université (A.D.), Paris Brain Institute, APHP, INSERM, CNRS, France; Department of Neuroscience and Reproductive and Odontostomatological Sciences (A.F.), Federico II University Naples, Italy; Department of Medical Genetics and Szentagothai Research Center (B.M.), University of Pécs Medical School, Hungary; Department of Neurology (K.R.), RWTH Aachen University; JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging (K.R.), Forschungszentrum Jülich, RWTH Aachen; and Department of Neurology (H.J.), University Hospital of Heidelberg, Germany
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Biernacki T, Kokas Z, Sandi D, Füvesi J, Fricska-Nagy Z, Faragó P, Kincses TZ, Klivényi P, Bencsik K, Vécsei L. Emerging Biomarkers of Multiple Sclerosis in the Blood and the CSF: A Focus on Neurofilaments and Therapeutic Considerations. Int J Mol Sci 2022; 23:ijms23063383. [PMID: 35328802 PMCID: PMC8951485 DOI: 10.3390/ijms23063383] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/12/2022] [Accepted: 03/17/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Multiple Sclerosis (MS) is the most common immune-mediated chronic neurodegenerative disease of the central nervous system (CNS) affecting young people. This is due to the permanent disability, cognitive impairment, and the enormous detrimental impact MS can exert on a patient's health-related quality of life. It is of great importance to recognise it in time and commence adequate treatment at an early stage. The currently used disease-modifying therapies (DMT) aim to reduce disease activity and thus halt disability development, which in current clinical practice are monitored by clinical and imaging parameters but not by biomarkers found in blood and/or the cerebrospinal fluid (CSF). Both clinical and radiological measures routinely used to monitor disease activity lack information on the fundamental pathophysiological features and mechanisms of MS. Furthermore, they lag behind the disease process itself. By the time a clinical relapse becomes evident or a new lesion appears on the MRI scan, potentially irreversible damage has already occurred in the CNS. In recent years, several biomarkers that previously have been linked to other neurological and immunological diseases have received increased attention in MS. Additionally, other novel, potential biomarkers with prognostic and diagnostic properties have been detected in the CSF and blood of MS patients. AREAS COVERED In this review, we summarise the most up-to-date knowledge and research conducted on the already known and most promising new biomarker candidates found in the CSF and blood of MS patients. DISCUSSION the current diagnostic criteria of MS relies on three pillars: MRI imaging, clinical events, and the presence of oligoclonal bands in the CSF (which was reinstated into the diagnostic criteria by the most recent revision). Even though the most recent McDonald criteria made the diagnosis of MS faster than the prior iteration, it is still not an infallible diagnostic toolset, especially at the very early stage of the clinically isolated syndrome. Together with the gold standard MRI and clinical measures, ancillary blood and CSF biomarkers may not just improve diagnostic accuracy and speed but very well may become agents to monitor therapeutic efficacy and make even more personalised treatment in MS a reality in the near future. The major disadvantage of these biomarkers in the past has been the need to obtain CSF to measure them. However, the recent advances in extremely sensitive immunoassays made their measurement possible from peripheral blood even when present only in minuscule concentrations. This should mark the beginning of a new biomarker research and utilisation era in MS.
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Affiliation(s)
- Tamás Biernacki
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Zsófia Kokas
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Dániel Sandi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Judit Füvesi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Zsanett Fricska-Nagy
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Péter Faragó
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Tamás Zsigmond Kincses
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
- Albert Szent-Györgyi Clinical Centre, Department of Radiology, Albert Szent-Györgyi Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary
| | - Péter Klivényi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Krisztina Bencsik
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - László Vécsei
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
- MTA-SZTE Neuroscience Research Group, University of Szeged, 6725 Szeged, Hungary
- Correspondence: ; Tel.: +36-62-545-356; Fax: +36-62-545-597
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Serum NfL and CHI3L1 for ALS and parkinsonian disorders in the process of diagnosis. J Neural Transm (Vienna) 2022; 129:301-309. [PMID: 35178615 DOI: 10.1007/s00702-022-02470-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/01/2022] [Indexed: 10/19/2022]
Abstract
Serum neurofilament light chain (NfL) and chitinase 3-like 1 (CHI3L1, also called YKL-40) concentrations are attractive candidate biomarkers for neurodegenerative disorders, which include amyotrophic lateral sclerosis (ALS) and parkinsonian disorders. We aimed to assess the diagnostic power of serum NfL and CHI3L1 concentrations with regard to the early diagnosis of ALS and Parkinson's disease (PD). We studied 157 individuals, which included 41 healthy controls, 8 patients with ALS mimics, 18 patients initially diagnosed with ALS (ID-ALS), 32 patients late-diagnosed with ALS (LD-ALS), 29 patients with PD, 12 patients with PD mimics, and 17 patients initially diagnosed with atypical parkinsonian disorders (ID-APDs) at the initial stage of diagnosis. Electrochemiluminescence was used to measure the concentrations of serum NfL and CHI3L1, the diagnostic performance of which was assessed using the area under the receiver operating curves (AUCs). The AUCs of serum NfL were 0.90 for discriminating ALS mimics from LD-ALS at the initial stage of diagnosis and 0.89 for discriminating ALS mimics from ALS (LD/ID-ALS). The AUCs of serum NfL were 0.76 for discriminating PD from PD mimics at the initial stage of diagnosis, and 0.80 for discriminating PD from APD. No significant difference existed in serum CHI3L1 concentrations between individuals with suspected ALS or parkinsonism (p = 0.14, and p = 0.44, respectively). Serum NfL had excellent and almost good diagnostic performances for patients with ALS and PD, respectively, at the initial stage of diagnosis, whereas no significant difference existed in serum CHI3L1 between any groups.
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Brosseron F, Maass A, Kleineidam L, Ravichandran KA, González PG, McManus RM, Ising C, Santarelli F, Kolbe CC, Häsler LM, Wolfsgruber S, Marquié M, Boada M, Orellana A, de Rojas I, Röske S, Peters O, Cosma NC, Cetindag A, Wang X, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Schott BH, Bürger K, Janowitz D, Dichgans M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Göerß D, Laske C, Munk MH, Düzel E, Yakupov R, Dobisch L, Metzger CD, Glanz W, Ewers M, Dechent P, Haynes JD, Scheffler K, Roy N, Rostamzadeh A, Teunissen CE, Marchant NL, Spottke A, Jucker M, Latz E, Wagner M, Mengel D, Synofzik M, Jessen F, Ramirez A, Ruiz A, Heneka MT. Soluble TAM receptors sAXL and sTyro3 predict structural and functional protection in Alzheimer's disease. Neuron 2021; 110:1009-1022.e4. [PMID: 34995486 DOI: 10.1016/j.neuron.2021.12.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 11/17/2021] [Accepted: 12/10/2021] [Indexed: 10/19/2022]
Abstract
There is an urgent need to improve the understanding of neuroinflammation in Alzheimer's disease (AD). We analyzed cerebrospinal fluid inflammatory biomarker correlations to brain structural volume and longitudinal cognitive outcomes in the DELCODE study and in a validation cohort of the F.ACE Alzheimer Center Barcelona. We investigated whether respective biomarker changes are evident before onset of cognitive impairment. YKL-40; sTREM2; sAXL; sTyro3; MIF; complement factors C1q, C4, and H; ferritin; and ApoE protein were elevated in pre-dementia subjects with pathological levels of tau or other neurodegeneration markers, demonstrating tight interactions between inflammation and accumulating neurodegeneration even before onset of symptoms. Intriguingly, higher levels of ApoE and soluble TAM receptors sAXL and sTyro3 were related to larger brain structure and stable cognitive outcome at follow-up. Our findings indicate a protective mechanism relevant for intervention strategies aiming to regulate neuroinflammation in subjects with no or subjective symptoms but underlying AD pathology profile.
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Affiliation(s)
- Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Kishore Aravind Ravichandran
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Pablo García González
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Róisín M McManus
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christina Ising
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Francesco Santarelli
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Carl-Christian Kolbe
- University of Bonn Medical Center, Institute of Innate Immune, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Lisa M Häsler
- Hertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Marta Marquié
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Adelina Orellana
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Sandra Röske
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Nicoleta-Carmen Cosma
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Arda Cetindag
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Xiao Wang
- Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany; Department of Psychiatry and Psychotherapy, Technical University Munich, 81675 Munich, Germany
| | - Eike J Spruth
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Charitéplatz 1, Berlin 10117, Germany; Department of Psychiatry and Psychotherapy, Charité, Charitéplatz 1, 10117 Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, Göttingen 37075, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold-Str. 3a, Göttingen 37075, Germany; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Von-Siebold-Str. 5, 37075 Göttingen, Germany; Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118 Magdeburg, Germany
| | - Katharina Bürger
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Martin Dichgans
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany; Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Boris-Stephan Rauchmann
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Feodor-Lynen-Strasse 17, 81377 Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, Rostock 18147, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Gehlsheimer Str. 20, Rostock 18147, Germany; Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Doreen Göerß
- Department of Psychosomatic Medicine, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Coraline D Metzger
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, Magdeburg 39120, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen-Strasse 17, Munich 81377, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Göttingen, Göttingen, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neurosciences, Charité - Universitätsmedizin, Berlin, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, 72076 Tübingen, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam University Medical centers, Vrije Universiteit, Amsterdam, the Netherlands
| | | | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurology, University of Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Mathias Jucker
- Hertie Institute for Clinical Brain Research, Department of Cellular Neurology, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany
| | - Eicke Latz
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; University of Bonn Medical Center, Institute of Innate Immune, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany
| | - David Mengel
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Matthis Synofzik
- German Center for Neurodegenerative Diseases (DZNE), Otfried-Müller-Straße 27, Tübingen 72076, Germany; Division Translational Genomics of Neurodegenerative Diseases, Center for Neurology and Hertie Institute for Clinical Brain Research, University of Tübingen, Otfried-Müller-Strasse 27, 72076 Tübingen, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Kerpener Strasse 62, 50924 Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Joseph-Stelzmann-Strasse 26, 50931 Köln, Germany; Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Agustín Ruiz
- Research Center and Memory Clinic, Fundacío ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain; Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, Bonn 53127, Germany; Department of Neurodegenerative Disease and Geriatric Psychiatry/Neurology, University of Bonn Medical Center, Venusberg-Campus 1, 53127 Bonn, Germany; Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 7 avenue des Hauts Fourneaux, 4362 Esch-sur- Alzette, Luxembourg; Department of Infectious Diseases and Immunology, University of Massachusetts Medical School, 55 Lake Avenue, North Worcester, Massachusetts 01655, USA.
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Yuan A, Nixon RA. Neurofilament Proteins as Biomarkers to Monitor Neurological Diseases and the Efficacy of Therapies. Front Neurosci 2021; 15:689938. [PMID: 34646114 PMCID: PMC8503617 DOI: 10.3389/fnins.2021.689938] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
Biomarkers of neurodegeneration and neuronal injury have the potential to improve diagnostic accuracy, disease monitoring, prognosis, and measure treatment efficacy. Neurofilament proteins (NfPs) are well suited as biomarkers in these contexts because they are major neuron-specific components that maintain structural integrity and are sensitive to neurodegeneration and neuronal injury across a wide range of neurologic diseases. Low levels of NfPs are constantly released from neurons into the extracellular space and ultimately reach the cerebrospinal fluid (CSF) and blood under physiological conditions throughout normal brain development, maturation, and aging. NfP levels in CSF and blood rise above normal in response to neuronal injury and neurodegeneration independently of cause. NfPs in CSF measured by lumbar puncture are about 40-fold more concentrated than in blood in healthy individuals. New ultra-sensitive methods now allow minimally invasive measurement of these low levels of NfPs in serum or plasma to track disease onset and progression in neurological disorders or nervous system injury and assess responses to therapeutic interventions. Any of the five Nf subunits - neurofilament light chain (NfL), neurofilament medium chain (NfM), neurofilament heavy chain (NfH), alpha-internexin (INA) and peripherin (PRPH) may be altered in a given neuropathological condition. In familial and sporadic Alzheimer's disease (AD), plasma NfL levels may rise as early as 22 years before clinical onset in familial AD and 10 years before sporadic AD. The major determinants of elevated levels of NfPs and degradation fragments in CSF and blood are the magnitude of damaged or degenerating axons of fiber tracks, the affected axon caliber sizes and the rate of release of NfP and fragments at different stages of a given neurological disease or condition directly or indirectly affecting central nervous system (CNS) and/or peripheral nervous system (PNS). NfPs are rapidly emerging as transformative blood biomarkers in neurology providing novel insights into a wide range of neurological diseases and advancing clinical trials. Here we summarize the current understanding of intracellular NfP physiology, pathophysiology and extracellular kinetics of NfPs in biofluids and review the value and limitations of NfPs and degradation fragments as biomarkers of neurodegeneration and neuronal injury.
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Affiliation(s)
- Aidong Yuan
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
| | - Ralph A. Nixon
- Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, United States
- Department of Psychiatry, NYU Neuroscience Institute, New York, NY, United States
- Department of Cell Biology, New York University Grossman School of Medicine, (NYU), Neuroscience Institute, New York, NY, United States
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Alagaratnam J, Stöhr W, Toombs J, Heslegrave A, Zetterberg H, Gisslén M, Pett S, Nelson M, Clarke A, Nwokolo N, Johnson MA, Khan M, Hanke T, Kopycinski J, Dorrell L, Fox J, Kinloch S, Underwood J, Pace M, Frater J, Winston A, Fidler S. No evidence of neuronal damage as measured by neurofilament light chain in a HIV cure study utilising a kick-and-kill approach. J Virus Erad 2021; 7:100056. [PMID: 34611495 PMCID: PMC8477217 DOI: 10.1016/j.jve.2021.100056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 08/03/2021] [Accepted: 09/08/2021] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE HIV-remission strategies including kick-and-kill could induce viral transcription and immune-activation in the central nervous system, potentially causing neuronal injury. We investigated the impact of kick-and-kill on plasma neurofilament light (NfL), a marker of neuro-axonal injury, in RIVER trial participants commencing antiretroviral treatment (ART) during primary infection and randomly allocated to ART-alone or kick-and-kill (ART + vaccination + vorinostat (ART + V + V)). DESIGN Sub-study measuring serial plasma NfL concentrations. METHODS Plasma NfL (using Simoa digital immunoassay), plasma HIV-1 RNA (using single-copy assay) and total HIV-1 DNA (using quantitative polymerase chain reaction in peripheral CD4+ T-cells) were measured at randomisation (following ≥22 weeks ART), week 12 (on final intervention day in ART + V + V) and week 18 post-randomisation. HIV-specific T-cells were quantified by intracellular cytokine staining at randomisation and week 12. Differences in plasma NfL longitudinally and by study arm were analysed using mixed models and Student's t-test. Associations with plasma NfL were assessed using linear regression and rank statistics. RESULTS At randomisation, 58 male participants had median age 32 years and CD4+ count 696 cells/μL. No significant difference in plasma NfL was seen longitudinally and by study arm, with median plasma NfL (pg/mL) in ART-only vs ART + V + V: 7.4 vs 6.4, p = 0.16 (randomisation), 8.0 vs 6.9, p = 0.22 (week 12) and 7.1 vs 6.8, p = 0.74 (week 18). Plasma NfL did not significantly correlate with plasma HIV-1 RNA and total HIV-1 DNA concentration in peripheral CD4+ T-cells at any timepoint. While higher HIV-specific T-cell responses were seen at week 12 in ART + V + V, there were no significant correlations with plasma NfL. In multivariate analysis, higher plasma NfL was associated with older age, higher CD8+ count and lower body mass index. CONCLUSIONS Despite evidence of vaccine-induced HIV-specific T-cell responses, we observed no evidence of increased neuro-axonal injury using plasma NfL as a biomarker up to 18 weeks following kick-and-kill, compared with ART-only.
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Affiliation(s)
- Jasmini Alagaratnam
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
- Genitourinary Medicine and HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, W2 1NY, United Kingdom
| | - Wolfgang Stöhr
- Medical Research Council Clinical Trials Unit at UCL, 90 High Holborn, Holborn, London, WC1V 6LJ, United Kingdom
| | - Jamie Toombs
- UK Dementia Research Institute at University College London, UCL Cruciform Building, Gower Street, Bloomsbury, London, WC1E 6BT, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute at University College London, UCL Cruciform Building, Gower Street, Bloomsbury, London, WC1E 6BT, UK
| | - Henrik Zetterberg
- UK Dementia Research Institute at University College London, UCL Cruciform Building, Gower Street, Bloomsbury, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, United Kingdom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Wallingsgatan 6, 431 41, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Blå Stråket 5, 413 45, Göteborg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Infectious Diseases, Blå Stråket 5, 413 45, Göteborg, Sweden
| | - Sarah Pett
- Medical Research Council Clinical Trials Unit at UCL, 90 High Holborn, Holborn, London, WC1V 6LJ, United Kingdom
- Institute for Global Health, University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK
- Mortimer Market Centre, Central and North West London NHS Foundation Trust, Capper St, Bloomsbury, London, WC1E 6JB, UK
| | - Mark Nelson
- Department of Genitourinary Medicine and HIV, Chelsea & Westminster NHS Foundation Trust, 369 Fulham Rd, Chelsea, London, SW10 9NH, UK
| | - Amanda Clarke
- Department of Genitourinary Medicine and HIV, Brighton & Sussex University Hospitals NHS Trust, Kemptown, Brighton, BN2 1ES, UK
| | - Nneka Nwokolo
- Department of Genitourinary Medicine and HIV, Chelsea & Westminster NHS Foundation Trust, 369 Fulham Rd, Chelsea, London, SW10 9NH, UK
| | - Margaret A. Johnson
- Department of Infection and Immunity, Royal Free Hospital, Pond Street, London, NW3 2QG, United Kingdom
| | - Maryam Khan
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
| | - Tomas Hanke
- The Jenner Institute, University of Oxford, Old Road Campus Research Build, Roosevelt Dr, Headington, Oxford, OX3 7DQ, UK
- The Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
| | - Jakub Kopycinski
- Nuffield Department of Medicine, University of Oxford, Oxford, OX1 2JD, UK
| | - Lucy Dorrell
- Nuffield Department of Medicine, University of Oxford, Oxford, OX1 2JD, UK
| | - Julie Fox
- Department of Genitourinary Medicine and HIV, Guy's and St Thomas' NHS Foundation Trust, Great Maze Pond, London, SE1 9RT, UK
| | - Sabine Kinloch
- Department of Infection and Immunity, Royal Free Hospital, Pond Street, London, NW3 2QG, United Kingdom
| | - Jonathan Underwood
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
- Division of Infection and Immunity, School of Medicine, Cardiff University, School of Medicine, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK
| | - Matthew Pace
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, South Parks Road, Oxford, OX1 3SY, UK
| | - John Frater
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, South Parks Road, Oxford, OX1 3SY, UK
- Oxford University National Institute of Health Research Biomedical Research Centre, Oxford, OX1 2JD, UK
| | - Alan Winston
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
- Genitourinary Medicine and HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, W2 1NY, United Kingdom
| | - Sarah Fidler
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
- Genitourinary Medicine and HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, W2 1NY, United Kingdom
| | - the RIVER trial study group
- Department of Infectious Disease, St Mary's Hospital Campus, Imperial College London, London, W2 1NY, United Kingdom
- Genitourinary Medicine and HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, W2 1NY, United Kingdom
- Medical Research Council Clinical Trials Unit at UCL, 90 High Holborn, Holborn, London, WC1V 6LJ, United Kingdom
- UK Dementia Research Institute at University College London, UCL Cruciform Building, Gower Street, Bloomsbury, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, United Kingdom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Wallingsgatan 6, 431 41, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Blå Stråket 5, 413 45, Göteborg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Infectious Diseases, Blå Stråket 5, 413 45, Göteborg, Sweden
- Institute for Global Health, University College London, Gower St, Bloomsbury, London, WC1E 6BT, UK
- Mortimer Market Centre, Central and North West London NHS Foundation Trust, Capper St, Bloomsbury, London, WC1E 6JB, UK
- Department of Genitourinary Medicine and HIV, Chelsea & Westminster NHS Foundation Trust, 369 Fulham Rd, Chelsea, London, SW10 9NH, UK
- Department of Genitourinary Medicine and HIV, Brighton & Sussex University Hospitals NHS Trust, Kemptown, Brighton, BN2 1ES, UK
- Department of Infection and Immunity, Royal Free Hospital, Pond Street, London, NW3 2QG, United Kingdom
- The Jenner Institute, University of Oxford, Old Road Campus Research Build, Roosevelt Dr, Headington, Oxford, OX3 7DQ, UK
- The Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
- Nuffield Department of Medicine, University of Oxford, Oxford, OX1 2JD, UK
- Department of Genitourinary Medicine and HIV, Guy's and St Thomas' NHS Foundation Trust, Great Maze Pond, London, SE1 9RT, UK
- Division of Infection and Immunity, School of Medicine, Cardiff University, School of Medicine, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, South Parks Road, Oxford, OX1 3SY, UK
- Oxford University National Institute of Health Research Biomedical Research Centre, Oxford, OX1 2JD, UK
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