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Sainz-Amo R, Rodero Romero A, Monreal E, Chico García JL, Fernández Velasco JI, Villarrubia N, Veiga González JL, Sainz de la Maza S, Rodríguez Jorge F, Masjuan J, Costa-Frossard L, Villar LM. Effect of alemtuzumab over sNfL and sGFAP levels in multiple sclerosis. Front Immunol 2024; 15:1454474. [PMID: 39224593 PMCID: PMC11366608 DOI: 10.3389/fimmu.2024.1454474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024] Open
Abstract
Introduction Alemtuzumab is a highly effective pulsed immune reconstitution therapy for multiple sclerosis (MS). Aim To evaluate serum neurofilament light chain (sNfL) and serum glial fibrillary acidic protein (sGFAP) in patients with relapsing-remitting MS who have been treated with Alemtuzumab over the course of 2 years. Methods This prospective study involved MS patients treated with Alemtuzumab at a referral MS center. Both sNfL and sGFAP were analyzed at baseline and then again at 6, 12, and 24 months post-treatment using the single molecule array (SiMoA) technique. We also recruited matched healthy controls (HCs) for comparison. Results The study included 46 patients (with a median age of 34.2 [Interquartile range (IQR), 28.7-42.3] years, 27 of which were women [58%]) and 76 HCs. No differences in demographic characteristics were observed between patients and HC. The median disease duration was 6.22 (IQR, 1.56-10.13) years. The median annualized relapse rate before treatment was 2 (IQR, 1-3). At baseline, sNfL and sGFAP levels were higher in MS patients (median of 18.8 [IQR, 10.7-52.7] pg/ml and 158.9 [IQR, 126.9-255.5] pg/ml, respectively) when compared to HC (6.11 [IQR, 2.03-8.54] pg/ml and 91.0 [72.6-109] pg/ml, respectively) (p<0.001 for both comparisons). The data indicates that 80% of patients had high (≥10 pg/ml) sNfL values at baseline. We observed a significant decrease in sNfL levels at 6 (65%, p = 0.02), 12 (70.8%, p<0.001), and 24 (78.1%, p<0.001) months. sNfL reached similar levels to HC only after 24 months of Alemtuzumab treatment. During the follow-up period, no changes were identified in the sGFAP values. Conclusion Alemtuzumab leads to the normalization of sNfL values in MS patients after 2 years of treatment, with no apparent effect on sGFAP values.
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Affiliation(s)
- Raquel Sainz-Amo
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Alexander Rodero Romero
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Enric Monreal
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Juan Luis Chico García
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - José Ignacio Fernández Velasco
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Noelia Villarrubia
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Jose Luis Veiga González
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Susana Sainz de la Maza
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Fernando Rodríguez Jorge
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Jaime Masjuan
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Lucienne Costa-Frossard
- Neurology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III (ISCIII), Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
| | - Luisa María Villar
- Immunology Department, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Multiple, Red de Enfermedades Inflamatorias, Instituto de Salud Carlos III, Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain
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Oris C, Kahouadji S, Bouvier D, Sapin V. Blood Biomarkers for the Management of Mild Traumatic Brain Injury in Clinical Practice. Clin Chem 2024; 70:1023-1036. [PMID: 38656380 DOI: 10.1093/clinchem/hvae049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/15/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Despite the use of validated guidelines in the management of mild traumatic brain injury (mTBI), processes to limit unnecessary brain scans are still not sufficient and need to be improved. The use of blood biomarkers represents a relevant adjunct to identify patients at risk for intracranial injury requiring computed tomography (CT) scan. CONTENT Biomarkers currently recommended in the management of mTBI in adults and children are discussed in this review. Protein S100 beta (S100B) is the best-documented blood biomarker due to its validation in large observational and interventional studies. Glial fibrillary acidic protein (GFAP) and ubiquitin carboxyterminal hydrolase L-1 (UCH-L1) have also recently demonstrated their usefulness in patients with mTBI. Preanalytical, analytical, and postanalytical performance are presented to aid in their interpretation in clinical practice. Finally, new perspectives on biomarkers and mTBI are discussed. SUMMARY In adults, the inclusion of S100B in Scandinavian and French guidelines has reduced the need for CT scans by at least 30%. S100B has significant potential as a diagnostic biomarker, but limitations include its rapid half-life, which requires blood collection within 3 h of trauma, and its lack of neurospecificity. In 2018, the FDA approved the use of combined determination of GFAP and UCH-L1 to aid in the assessment of mTBI. Since 2022, new French guidelines also recommend the determination of GFAP and UCH-L1 in order to target a larger number of patients (sampling within 12 h post-injury) and optimize the reduction of CT scans. In the future, new cut-offs related to age and promising new biomarkers are expected for both diagnostic and prognostic applications.
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Affiliation(s)
- Charlotte Oris
- Biochemistry and Molecular Genetics Department, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France
- CNRS, INSERM, iGReD, Clermont Auvergne University, Clermont-Ferrand, France
| | - Samy Kahouadji
- Biochemistry and Molecular Genetics Department, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France
- CNRS, INSERM, iGReD, Clermont Auvergne University, Clermont-Ferrand, France
| | - Damien Bouvier
- Biochemistry and Molecular Genetics Department, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France
- CNRS, INSERM, iGReD, Clermont Auvergne University, Clermont-Ferrand, France
| | - Vincent Sapin
- Biochemistry and Molecular Genetics Department, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France
- CNRS, INSERM, iGReD, Clermont Auvergne University, Clermont-Ferrand, France
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Lista S, Imbimbo BP, Grasso M, Fidilio A, Emanuele E, Minoretti P, López-Ortiz S, Martín-Hernández J, Gabelle A, Caruso G, Malaguti M, Melchiorri D, Santos-Lozano A, Imbimbo C, Heneka MT, Caraci F. Tracking neuroinflammatory biomarkers in Alzheimer's disease: a strategy for individualized therapeutic approaches? J Neuroinflammation 2024; 21:187. [PMID: 39080712 PMCID: PMC11289964 DOI: 10.1186/s12974-024-03163-y] [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: 05/29/2024] [Accepted: 06/28/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Recent trials of anti-amyloid-β (Aβ) monoclonal antibodies, including lecanemab and donanemab, in early Alzheimer disease (AD) showed that these drugs have limited clinical benefits and their use comes with a significant risk of serious adverse events. Thus, it seems crucial to explore complementary therapeutic approaches. Genome-wide association studies identified robust associations between AD and several AD risk genes related to immune response, including but not restricted to CD33 and TREM2. Here, we critically reviewed the current knowledge on candidate neuroinflammatory biomarkers and their role in characterizing the pathophysiology of AD. MAIN BODY Neuroinflammation is recognized to be a crucial and contributing component of AD pathogenesis. The fact that neuroinflammation is most likely present from earliest pre-stages of AD and co-occurs with the deposition of Aβ reinforces the need to precisely define the sequence and nature of neuroinflammatory events. Numerous clinical trials involving anti-inflammatory drugs previously yielded unfavorable outcomes in early and mild-to-moderate AD. Although the reasons behind these failures remain unclear, these may include the time and the target selected for intervention. Indeed, in our review, we observed a stage-dependent neuroinflammatory process in the AD brain. While the initial activation of glial cells counteracts early brain Aβ deposition, the downregulation in the functional state of microglia occurs at more advanced disease stages. To address this issue, personalized neuroinflammatory modulation therapy is required. The emergence of reliable blood-based neuroinflammatory biomarkers, particularly glial fibrillary acidic protein, a marker of reactive astrocytes, may facilitate the classification of AD patients based on the ATI(N) biomarker framework. This expands upon the traditional classification of Aβ ("A"), tau ("T"), and neurodegeneration ("N"), by incorporating a novel inflammatory component ("I"). CONCLUSIONS The present review outlines the current knowledge on potential neuroinflammatory biomarkers and, importantly, emphasizes the role of longitudinal analyses, which are needed to accurately monitor the dynamics of cerebral inflammation. Such a precise information on time and place will be required before anti-inflammatory therapeutic interventions can be considered for clinical evaluation. We propose that an effective anti-neuroinflammatory therapy should specifically target microglia and astrocytes, while considering the individual ATI(N) status of patients.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, 43122, Parma, Italy
| | | | | | | | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
| | - Audrey Gabelle
- CMRR, Memory Resources and Research Center, Montpellier University of Excellence i-site, 34295, Montpellier, France
| | - Giuseppe Caruso
- Oasi Research Institute-IRCCS, 94018, Troina, Italy
- Department of Drug and Health Sciences, University of Catania, 95125, Catania, Italy
| | - Marco Malaguti
- Department for Life Quality Studies, Alma Mater Studiorum, University of Bologna, 40126, Bologna, Italy
| | - Daniela Melchiorri
- Department of Physiology and Pharmacology, Sapienza University, 00185, Rome, Italy
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012, Valladolid, Spain
- Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital, 12 de Octubre ('imas12'), 28041, Madrid, Spain
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, 27100, Pavia, Italy
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Esch-Belval, Luxembourg.
| | - Filippo Caraci
- Oasi Research Institute-IRCCS, 94018, Troina, Italy.
- Department of Drug and Health Sciences, University of Catania, 95125, Catania, Italy.
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Ma C, Yu Z, Qiu L. Development of next-generation reference interval models to establish reference intervals based on medical data: current status, algorithms and future consideration. Crit Rev Clin Lab Sci 2024; 61:298-316. [PMID: 38146650 DOI: 10.1080/10408363.2023.2291379] [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: 08/30/2023] [Accepted: 11/30/2023] [Indexed: 12/27/2023]
Abstract
Evidence derived from laboratory medicine plays a pivotal role in the diagnosis, treatment monitoring, and prognosis of various diseases. Reference intervals (RIs) are indispensable tools for assessing test results. The accuracy of clinical decision-making relies directly on the appropriateness of RIs. With the increase in real-world studies and advances in computational power, there has been increased interest in establishing RIs using big data. This approach has demonstrated cost-effectiveness and applicability across diverse scenarios, thereby enhancing the overall suitability of the RI to a certain extent. However, challenges persist when tests results are influenced by age and sex. Reliance on a single RI or a grouping of RIs based on age and sex can lead to erroneous interpretation of results with significant implications for clinical decision-making. To address this issue, the development of next generation of reference interval models has arisen at an historic moment. Such models establish a curve relationship to derive continuously changing reference intervals for test results across different age and sex categories. By automatically selecting appropriate RIs based on the age and sex of patients during result interpretation, this approach facilitates clinical decision-making and enhances disease diagnosis/treatment as well as health management practices. Development of next-generation reference interval models use direct or indirect sampling techniques to select reference individuals and then employed curve fitting methods such as splines, polynomial regression and others to establish continuous models. In light of these studies, several observations can be made: Firstly, to date, limited interest has been shown in developing next-generation reference interval models, with only a few models currently available. Secondly, there are a wide range of methods and algorithms for constructing such models, and their diversity may lead to confusion. Thirdly, the process of constructing next-generation reference interval models can be complex, particularly when employing indirect sampling techniques. At present, normative documents pertaining to the development of next-generation reference interval models are lacking. In summary, this review aims to provide an overview of the current state of development of next-generation reference interval models by defining them, highlighting inherent advantages, and addressing existing challenges. It also describes the process, advanced algorithms for model building, the tools required and the diagnosis and validation of models. Additionally, a discussion on the prospects of utilizing big data for developing next-generation reference interval models is presented. The ultimate objective is to equip clinical laboratories with the theoretical framework and practical tools necessary for developing and optimizing next-generation reference interval models to establish next-generation reference intervals while enhancing the use of medical data resources to facilitate precision medicine.
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Affiliation(s)
- Chaochao Ma
- Department of Laboratory Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zheng Yu
- Department of Operations Research and Financial Engineering, Princeton University, Princeton University, Princeton, NJ, USA
| | - Ling Qiu
- Department of Laboratory Medicine, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, China
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Rasing I, Voigt S, Koemans EA, de Kort AM, van Harten TW, van Etten ES, van Zwet EW, Stoops E, Francois C, Kuiperij HB, Klijn CJM, Schreuder FHBM, van der Weerd L, van Osch MJP, van Walderveen MAA, Verbeek MM, Terwindt GM, Wermer MJH. Serum and cerebrospinal fluid neurofilament light chain and glial fibrillary acid protein levels in early and advanced stages of cerebral amyloid Angiopathy. Alzheimers Res Ther 2024; 16:86. [PMID: 38654326 PMCID: PMC11036675 DOI: 10.1186/s13195-024-01457-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a biomarker for neuroaxonal damage and glial fibrillary acidic protein (GFAP) for reactive astrocytosis. Both processes occur in cerebral amyloid angiopathy (CAA), but studies investigating the potential of NFL and GFAP as markers for CAA are lacking. We aimed to investigate NFL and GFAP as biomarkers for neuroaxonal damage and astrocytosis in CAA. METHODS For this cross-sectional study serum and cerebrospinal fluid (CSF) samples were collected between 2010 and 2020 from controls, (pre)symptomatic Dutch-type hereditary (D-CAA) mutation-carriers and participants with sporadic CAA (sCAA) from two prospective CAA studies at two University hospitals in the Netherlands. NFL and GFAP levels were measured with Simoa-assays. The association between NFL and GFAP levels and age, cognitive performance (MoCA), CAA-related MRI markers (CAA-CSVD-burden) and Aβ40 and Aβ42 levels in CSF were assessed with linear regression adjusted for confounders. The control group was divided in age < 55 and ≥55 years to match the specific groups. RESULTS We included 187 participants: 28 presymptomatic D-CAA mutation-carriers (mean age 40 years), 29 symptomatic D-CAA participants (mean age 58 years), 59 sCAA participants (mean age 72 years), 33 controls < 55 years (mean age 42 years) and 38 controls ≥ 55 years (mean age 65 years). In presymptomatic D-CAA, only GFAP in CSF (7.7*103pg/mL vs. 4.4*103pg/mL in controls; P<.001) was increased compared to controls. In symptomatic D-CAA, both serum (NFL:26.2pg/mL vs. 12.5pg/mL; P=0.008, GFAP:130.8pg/mL vs. 123.4pg/mL; P=0.027) and CSF (NFL:16.8*102pg/mL vs. 7.8*102pg/mL; P=0.01 and GFAP:11.4*103pg/mL vs. 7.5*103pg/mL; P<.001) levels were higher than in controls and serum levels (NFL:26.2pg/mL vs. 6.7pg/mL; P=0.05 and GFAP:130.8pg/mL vs. 66.0pg/mL; P=0.004) were higher than in pre-symptomatic D-CAA. In sCAA, only NFL levels were increased compared to controls in both serum (25.6pg/mL vs. 12.5pg/mL; P=0.005) and CSF (20.0*102pg/mL vs 7.8*102pg/mL; P=0.008). All levels correlated with age. Serum NFL correlated with MoCA (P=0.008) and CAA-CSVD score (P<.001). NFL and GFAP in CSF correlated with Aβ42 levels (P=0.01/0.02). CONCLUSIONS GFAP level in CSF is an early biomarker for CAA and is increased years before symptom onset. NFL and GFAP levels in serum and CSF are biomarkers for advanced CAA.
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Affiliation(s)
- Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anna M de Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellis S van Etten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Louise van der Weerd
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
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Stukas S, Cooper J, Higgins V, Holmes D, Adeli K, Wellington CL. Pediatric reference intervals for serum neurofilament light and glial fibrillary acidic protein using the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort. Clin Chem Lab Med 2024; 62:698-705. [PMID: 37882772 PMCID: PMC10895925 DOI: 10.1515/cclm-2023-0660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/13/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVES Blood biomarkers have the potential to transform diagnosis and prognosis for multiple neurological indications. Establishing normative data is a critical benchmark in the analytical validation process. Normative data are important in children as little is known about how brain development may impact potential biomarkers. The objective of this study is to generate pediatric reference intervals (RIs) for serum neurofilament light (NfL), an axonal marker, and glial fibrillary acidic protein (GFAP), an astrocytic marker. METHODS Serum from healthy children and adolescents aged 1 to <19 years were obtained from the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) cohort. Serum NfL (n=300) and GFAP (n=316) were quantified using Simoa technology, and discrete RI (2.5th and 97.5th percentiles) and continuous RI (5th and 95th percentiles) were generated. RESULTS While there was no association with sex, there was a statistically significant (p<0.0001) negative association between age and serum NfL (Rho -0.400) and GFAP (Rho -0.749). Two statistically significant age partitions were generated for NfL: age 1 to <10 years (lower, upper limit; 3.13, 20.6 pg/mL) and 10 to <19 years (1.82, 7.44 pg/mL). For GFAP, three statistically significant age partitions were generated: age 1 to <3.5 years (80.4, 601 pg/mL); 3.5 to <11 years (50.7, 224 pg/mL); and 11 to <19 years (26.2, 119 pg/mL). CONCLUSIONS Taken together with the literature on adults, NfL and GFAP display U-shaped curves with high levels in infants, decreasing levels during childhood, a plateau during adolescence and early adulthood and increasing levels in seniors. These normative data are expected to inform future pediatric studies on the importance of age on neurological blood biomarkers.
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Affiliation(s)
- Sophie Stukas
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Jennifer Cooper
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Victoria Higgins
- CALIPER Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Daniel Holmes
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, Providence Health, Vancouver, BC, Canada
| | - Khosrow Adeli
- CALIPER Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Cheryl L. Wellington
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- International Collaboration on Repair Discoveries (ICORD), Blusson Spinal Cord Center, University of British Columbia, Vancouver, BC, Canada
- School of Biomedical Engineering (SBME), University of British Columbia, Vancouver, BC, Canada
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Boesl F, Goereci Y, Schweitzer F, Finke C, Schild AK, Bittner S, Steffen F, Schröder M, Quitschau A, Heine J, Warnke C, Franke C. Cognitive decline in post-COVID-19 syndrome does not correspond with persisting neuronal or astrocytic damage. Sci Rep 2024; 14:5326. [PMID: 38438479 PMCID: PMC10912552 DOI: 10.1038/s41598-024-55881-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 02/27/2024] [Indexed: 03/06/2024] Open
Abstract
Cognitive impairment is the most frequent symptom reported in post-COVID-19 syndrome (PCS). Aetiology of cognitive impairment in PCS is still to be determined. Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are increased in acute COVID-19. Their role as biomarkers in other neurological disorders is under debate. We analysed serum levels of NfL and GFAP as markers for neuronal and astrocytic damage in 53 patients presenting to a PCS Neurology outpatient clinic. Only individuals with self-reported cognitive complaints were included. In these individuals, cognitive complaints were further assessed by comprehensive neuropsychological assessment (NPA). Patients were categorized into subgroups of subjective cognitive decline, single domain impairment, or multi-domain impairment. Serum NfL was in normal range, however an increase of serum GFAP was detected in 4% of patients. Serum NfL and GFAP levels correlated with each other, even when adjusting for patient age (r = 0.347, p = 0.012). NPA showed deficits in 70%; 40% showing impairment in several tested domains. No significant differences were found between serum NfL- and GFAP-levels comparing patients with subjective cognitive decline, single domain impairment, or multi-domain impairment. Persistent neuronal or astrocytic damage did not correlate with cognitive impairment in PCS.
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Affiliation(s)
- Fabian Boesl
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany.
| | - Yasemin Goereci
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Finja Schweitzer
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Carsten Finke
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Ann-Katrin Schild
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), University Medical Center of the Johannes Gutenberg University Mainz, Rhine-Main Neuroscience Network (rmn2), Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), University Medical Center of the Johannes Gutenberg University Mainz, Rhine-Main Neuroscience Network (rmn2), Mainz, Germany
| | - Maria Schröder
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Anneke Quitschau
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Josephine Heine
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
| | - Clemens Warnke
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christiana Franke
- Department of Neurology, Charité-University Medicine Berlin, Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Hindenburgdamm 30, 12203, Berlin, Germany
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8
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Jalaleddini K, Jakimovski D, Keshavan A, McCurdy S, Leyden K, Qureshi F, Ghoreyshi A, Bergsland N, Dwyer MG, Ramanathan M, Weinstock-Guttman B, Benedict RH, Zivadinov R. Proteomic signatures of physical, cognitive, and imaging outcomes in multiple sclerosis. Ann Clin Transl Neurol 2024; 11:729-743. [PMID: 38234075 DOI: 10.1002/acn3.51996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/21/2023] [Accepted: 12/25/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND A quantitative measurement of serum proteome biomarkers that would associate with disease progression endpoints can provide risk stratification for persons with multiple sclerosis (PwMS) and supplement the clinical decision-making process. MATERIALS AND METHODS In total, 202 PwMS were enrolled in a longitudinal study with measurements at two time points with an average follow-up time of 5.4 years. Clinical measures included the Expanded Disability Status Scale, Timed 25-foot Walk, 9-Hole Peg, and Symbol Digit Modalities Tests. Subjects underwent magnetic resonance imaging to determine the volumetric measures of the whole brain, gray matter, deep gray matter, and lateral ventricles. Serum samples were analyzed using a custom immunoassay panel on the Olink™ platform, and concentrations of 18 protein biomarkers were measured. Linear mixed-effects models and adjustment for multiple comparisons were performed. RESULTS Subjects had a significant 55.6% increase in chemokine ligand 20 (9.7 pg/mL vs. 15.1 pg/mL, p < 0.001) and neurofilament light polypeptide (10.5 pg/mL vs. 11.5 pg/mL, p = 0.003) at the follow-up time point. Additional changes in CUB domain-containing protein 1, Contactin 2, Glial fibrillary acidic protein, Myelin oligodendrocyte glycoprotein, and Osteopontin were noted but did not survive multiple comparison correction. Worse clinical performance in the 9-HPT was associated with neurofilament light polypeptide (p = 0.001). Increases in several biomarker candidates were correlated with greater neurodegenerative changes as measured by different brain volumes. CONCLUSION Multiple proteins, selected from a disease activity test that represent diverse biological pathways, are associated with physical, cognitive, and radiographic outcomes. Future studies should determine the utility of multiple protein assays in routine clinical care.
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Affiliation(s)
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | | | | | | | | | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, Buffalo, New York, USA
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Ralph Hb Benedict
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, New York, USA
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9
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Robertson CS, Martinez FS, McQuillan LE, Williamson J, Lamb DG, Wang KKW, Rubenstein R, Wagner AK. Serial Measurements of Serum Glial Fibrillary Acidic Protein in Moderate-Severe Traumatic Brain Injury: Potential Utility in Providing Insights into Secondary Insults and Long-Term Outcome. J Neurotrauma 2024; 41:73-90. [PMID: 37489296 DOI: 10.1089/neu.2023.0111] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023] Open
Abstract
In patients with traumatic brain injury (TBI), serum biomarkers may have utility in assessing the evolution of secondary brain injury. A panel of nine brain-injury- associated biomarkers was measured in archived serum samples over 10 days post-injury from 100 patients with moderate-severe TBI. Among the biomarkers evaluated, serum glial fibrillary acidic protein (GFAP) had the strongest associations with summary measures of acute pathophysiology, including intracranial pressure (ICP), cerebral perfusion pressure (CPP), and brain tissue pO2 (PbtO2). Group based trajectory (TRAJ) analysis was used to identify three distinct GFAP subgroups. The low TRAJ group (n = 23) had peak levels of 9.4 + 1.2 ng/mL that declined rapidly. The middle TRAJ group (n = 48) had higher peak values (31.5 + 5.0 ng/mL) and a slower decline over time. The high TRAJ group (n = 26) had very high, sustained peak values (59.6 + 12.5 ng/mL) that even rose among some patients over 10 days. Patients in the high TRAJ group had significantly higher mortality rate than patients in low and middle TRAJ groups (26.9% vs. 7.0%, p = 0.028). The frequency of poor neurological outcome (Glasgow Outcome Score Extended [GOS-E] 1-4) was 88.5% in the high TRAJ group, 54.2% in the middle TRAJ group, and 30.4% in the low TRAJ group (p < 0.001). ICP was highest in the high TRAJ group (median 17.6 mm Hg), compared with 14.4 mmHg in the low and 15.9 mm Hg in middle TRAJ groups (p = 0.002). High TRAJ patients spent the longest time with ICP >25 mm Hg, median 23 h, compared with 2 and 6 h in the low and middle TRAJ groups (p = 0.006), and the longest time with ICP >30 mm Hg, median 5 h, compared with 0 and 1 h in the low and middle TRAJ groups, respectively (p = 0.013). High TRAJ group patients more commonly required tier 2 or 3 treatment to control ICP. The high TRAJ group had the longest duration when CPP was <50 mm Hg (p = 0.007), and PbtO2 was <10 mm Hg (p = 0.002). Logistical regression was used to study the relationship between temporal serum GFAP patterns and 6-month GOS-E. Here, the low and middle TRAJ groups were combined to form a low-risk group, and the high TRAJ group was designated the high-risk group. High TRAJ group patients had a greater chance of a poor 6-month GOS-E (p < 0.0001). When adjusting for baseline injury characteristics, GFAP TRAJ group membership remained associated with GOS-E (p = 0.003). When an intensive care unit (ICU) injury burden score, developed to quantify physiological derangements, was added to the model, GFAP TRAJ group membership remained associated with GOS-E (p = 0.014). Mediation analysis suggested that ICU burden scores were in the causal pathway between TRAJ group and 6-month mortality or GOS-E. Our results suggest that GFAP may be useful to monitor serially in moderate-severe TBI patients. Future studies in larger cohorts are needed to confirm these results.
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Affiliation(s)
| | | | - Leah E McQuillan
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John Williamson
- Brain Rehabilitation Research Center, Malcolm Randall VA Medical Center, Gainesville, Florida, USA
- Department of Psychiatry, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Damon G Lamb
- Brain Rehabilitation Research Center, Malcolm Randall VA Medical Center, Gainesville, Florida, USA
- Department of Psychiatry, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Kevin K W Wang
- Brain Rehabilitation Research Center, Malcolm Randall VA Medical Center, Gainesville, Florida, USA
- Department of Emergency Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Richard Rubenstein
- Department of Neurology, State University of New York-Downstate Health Sciences University, Brooklyn, New York, USA
| | - Amy K Wagner
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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10
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Klitholm M, Jeppesen AN, Christensen S, Parkner T, Tybirk L, Kirkegaard H, Sandfeld-Paulsen B, Grejs AM. Neurofilament Light Chain and Glial Fibrillary Acidic Protein as early prognostic biomarkers after out-of-hospital cardiac arrest. Resuscitation 2023; 193:109983. [PMID: 37778613 DOI: 10.1016/j.resuscitation.2023.109983] [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: 07/24/2023] [Revised: 09/02/2023] [Accepted: 09/23/2023] [Indexed: 10/03/2023]
Abstract
AIMS Neurofilament Light Chain (NfL) and Glial Fibrillary Acidic Protein (GFAP) are proteins released into the bloodstream upon hypoxic brain injury. We evaluated the biokinetics and examined the prognostic performance of serum NfL and GFAP in comatose out-of-hospital cardiac arrest (OHCA) patients. Furthermore, we compared the prognostic performance to that of serum Neuron Specific Enolase (NSE). METHODS This is a sub-study of the "Targeted temperature management for 48 vs 24 hours" (NCT01689077) trial. NfL and GFAP serum values from 82 patients were examined in blood samples collected at 24, 48 and 72 hours (h) after reaching target temperature of 33 ± 1 °C. This temperature was reached within a median of 281-320 minutes after intensive care unit admission. GFAP was analysed at 48 and 72 h. The neuroprognostic performance of NfL and GFAP was evaluated after 6 months follow-up. RESULTS NfL and GFAP values were significantly higher in patients with a poor outcome (Cerebral Performance Category (CPC) score 3-5) vs. good outcome (CPC 1-2). NfL 24 h: 1371.5 (462.0; 2125.1) vs. 24.8 (14.0; 61.6). GFAP 48 h: 1285.3 (843.9; 2236.7) vs. 361.2 (200.4; 665.6) (both p < 0.001). Both biomarkers were promising markers of poor functional outcome at 24 and 48 h respectively: NfL 24 h: AUROC 0.95 (95% CI: 0.91-1.00). GFAP 48 h: AUROC 0.88 (95% CI: 0.81-0.96). NfL and GFAP both predicted outcome better than NSE at 48 h (both p < 0.01). At 72 h NfL but not GFAP outperformed NSE (p = 0.01). CONCLUSION Serum NfL and GFAP may be strong biomarkers of poor functional outcome after OHCA from an early timepoint.
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Affiliation(s)
- Maibritt Klitholm
- Department of Intensive Care Medicine, Aarhus University Hospital, Denmark.
| | - Anni Nørgaard Jeppesen
- Department of Cardiothoracic and Vascular Surgery, Anaesthesia Section, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Denmark
| | - Steffen Christensen
- Department of Intensive Care Medicine, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Denmark
| | - Tina Parkner
- Department of Clinical Medicine, Aarhus University, Denmark; Department of Clinical Biochemistry, Aarhus University Hospital, Denmark
| | - Lea Tybirk
- Department of Clinical Biochemistry, Aarhus University Hospital, Denmark
| | - Hans Kirkegaard
- Department of Clinical Medicine, Aarhus University, Denmark; Research Centre for Emergency Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark
| | - Birgitte Sandfeld-Paulsen
- Department of Clinical Medicine, Aarhus University, Denmark; Department of Clinical Biochemistry, Viborg Regional Hospital, Heibergs Alle 4, 8800 Viborg, Denmark
| | - Anders Morten Grejs
- Department of Intensive Care Medicine, Aarhus University Hospital, Denmark; Department of Clinical Medicine, Aarhus University, Denmark
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11
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Cooper JG, Stukas S, Ghodsi M, Ahmed N, Diaz-Arrastia R, Holmes DT, Wellington CL. Age specific reference intervals for plasma biomarkers of neurodegeneration and neurotrauma in a Canadian population. Clin Biochem 2023; 121-122:110680. [PMID: 37884086 DOI: 10.1016/j.clinbiochem.2023.110680] [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: 08/18/2023] [Revised: 10/13/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
INTRODUCTION In this study, we aimed to create reference intervals (RI) using a large Canadian population-based cohort, for plasma protein biomarkers with potential utility to screen, diagnosis, prognosticate and manage a variety of neurological diseases and disorders. RIs were generated for: the ratio of amyloid beta 42 over 40 (Aβ42/40), phosphorylated tau-181 (p-tau-181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP). METHODS 900 plasma specimens from male and female participants aged 3-79 years old were obtained from the Statistics Canada Biobank, which holds specimens from the Canadian Health Measures Survey. Analysis of Aβ42/40, p-tau-181, NfL and GFAP was performed on the Quanterix Simoa HD-X analyzer using the Neurology 4-plex E and p-tau-181 assays. Discrete RIs were produced according to Clinical Laboratory Standards Institute guidelines (EP28-A3c). Continuous RIs were created using quantile regression. RESULTS For discrete RIs, significant age partitions were determined for each biomarker. No significant sex partitions were found. The following ranges and age partitions were determined: Aβ42/40: 3-<55y = 0.053-0.098, 55-<80y = 0.040-0.090; p-tau-181: 3-<12y = 1.4-5.6 pg/ml, 12-<60y = 0.8-3.1 pg/ml, 60-<80y = 0.9-4.0 pg/ml; NfL: 3-<40y = 2.6-11.3 pg/ml, 40-<60y = 4.6-17.7 pg/ml, 60-<80y = 8.1-47.1 pg/ml; GFAP; 3-<10y = 47.0-226 pg/ml, 10-<60y = 21.2-91.9 pg/ml, 60-<80y = 40.7-228 pg/ml. Continuous RIs produced smooth centile curves across the age range, from which point estimates for each year of age were calculated. CONCLUSIONS Discrete and continuous RIs for neurological plasma biomarkers will help refine normative cut-offs across the lifespan and improve the precision of interpretating biomarker levels. Continuous RIs are recommended for use in age groups, such as pediatrics and older adults, that experience rapid concentration changes by age.
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Affiliation(s)
- Jennifer G Cooper
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Sophie Stukas
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Mohammad Ghodsi
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Nyra Ahmed
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada
| | - Ramon Diaz-Arrastia
- Clinical TBI Research Center, Penn Presbyterian Medical Center, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel T Holmes
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, Providence Health, 1081 Burrard St, Vancouver, British Columbia V6Z 1Y6, Canada
| | - Cheryl L Wellington
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, British Columbia V6T 1Z3, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada; School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada.
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12
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Tybirk L, Hviid CVB, Knudsen CS, Parkner T. Serum GFAP - pediatric reference interval in a cohort of Danish children. Clin Chem Lab Med 2023; 61:2041-2045. [PMID: 37195150 DOI: 10.1515/cclm-2023-0280] [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: 03/17/2023] [Accepted: 05/09/2023] [Indexed: 05/18/2023]
Abstract
OBJECTIVES Glial fibrillary acidic protein (GFAP) in blood is an emerging biomarker of brain injury and neurological disease. Its clinical use in children is limited by the lack of a reference interval (RI). Thus, the aim of the present study was to establish an age-dependent continuous RI for serum GFAP in children. METHODS Excess serum from routine allergy testing of 391 children, 0.4-17.9 years of age, was measured by a single-molecule array (Simoa) assay. A continuous RI was modelled using non-parametric quantile regression and presented both graphically and tabulated as discrete one-year RIs based on point estimates from the model. RESULTS Serum GFAP showed a strong age-dependency with declining levels and variability from infants to adolescents. The estimated median level decreased 66 % from four months to five years of age and another 65 % from five years to 17.9 years of age. No gender difference was observed. CONCLUSIONS The study establishes an age-dependent RI for serum GFAP in children showing high levels and variability in the first years of life.
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Affiliation(s)
- Lea Tybirk
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Claus Vinter Bødker Hviid
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Tina Parkner
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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13
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Schjørring ME, Parkner T, Knudsen CS, Tybirk L, Hviid CVB. Neurofilament light chain: serum reference intervals in Danish children aged 0-17 years. Scand J Clin Lab Invest 2023; 83:403-407. [PMID: 37632388 DOI: 10.1080/00365513.2023.2251003] [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: 05/25/2023] [Revised: 07/07/2023] [Accepted: 08/19/2023] [Indexed: 08/28/2023]
Abstract
Elevated levels of neurofilament light chain (NfL) in the blood is an unspecific biomarker for damage to neuronal axons. The measurement of NfL levels in the blood can provide useful information for monitoring and prognostication of various neurological disorders in children, but a reference interval (RI) is needed before the clinical implementation of the biomarker. We aimed to establish a RI for children aged 0-17 years. Serum samples from 292 healthy reference subjects aged 0.4-17.9 years were analysed by a single-molecule array (Simoa®) established for routine clinical use. Non-parametric quantile regression was used to model a continuous RI, and a traditional age-partitioned non-parametric RI was established according to Clinical and Laboratory Standard Institute (CLSI) guideline C28-A3. Furthermore, we investigated the effect of hemolysis on assay performance. The traditional age-partitioned non-parametric RI for the age group <3 years was 3.5-16.6 ng/L and 2.1-13.9 ng/L in the age group ≥3 years, respectively. The continuous RI showed an age-dependent decrease in median NfL levels in the first three years of life which was also evident in the age-partitioning of the traditional RI. We found no difference between sexes and no impact of hemolysis on the NfL test results. This study establishes a pediatric RI for serum NfL and lays the groundwork for its future use in clinical practice.
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Affiliation(s)
- Mia Elbek Schjørring
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Tina Parkner
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
| | | | - Lea Tybirk
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | - Claus Vinter Bødker Hviid
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Denmark
- Department of Clinical Biochemistry, Aalborg University Hospital, Denmark
- Department of Clinical Medicine, Aalborg University, Denmark
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14
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Sievert T, Didriksson I, Spångfors M, Lilja G, Blennow K, Zetterberg H, Frigyesi A, Friberg H. Neurofilament light chain on intensive care admission is an independent predictor of mortality in COVID-19: a prospective multicenter study. Intensive Care Med Exp 2023; 11:66. [PMID: 37768470 PMCID: PMC10539241 DOI: 10.1186/s40635-023-00547-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and total-tau protein (tau) are novel blood biomarkers of neurological injury, and may be used to predict outcomes in critical COVID-19. METHODS A prospective multicentre cohort study of 117 consecutive and critically ill COVID-19 patients in six intensive care units (ICUs) in southern Sweden between May and November 2020. Serial NfL, GFAP and tau were analysed in relation to mortality, the Glasgow Outcome Scale Extended (GOSE) and the physical (PCS) and mental (MCS) components of health-related quality of life at one year. RESULTS NfL, GFAP and tau on ICU admission predicted one-year mortality with an area under the curve (AUC) of 0.82 (95% confidence interval [CI] 0.74[Formula: see text]0.90), 0.72 (95% CI 0.62[Formula: see text]0.82) and 0.66 (95% CI 0.54[Formula: see text]0.77). NfL on admission was an independent predictor of one-year mortality (p = 0.039). Low NfL and GFAP values were associated with good PCS ([Formula: see text]45) at one year but not with good MCS ([Formula: see text]45) or GOSE ([Formula: see text]5). CONCLUSIONS NfL on ICU admission was an independent predictor of mortality. High levels of NfL, GFAP and tau were associated with mortality but not with poor GOSE in survivors at one year. Low levels of NfL and GFAP were associated with improved physical health-related quality of life.
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Affiliation(s)
- Theodor Sievert
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, SE-22185 Sweden
- Department of Intensive and Perioperative Care, Skåne University Hospital, Lund, SE-22185 Sweden
| | - Ingrid Didriksson
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, SE-22185 Sweden
- Department of Intensive and Perioperative Care, Skåne University Hospital, Malmö, SE-20502 Sweden
| | - Martin Spångfors
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, SE-22185 Sweden
- Department of Anaesthesia and Intensive Care, Kristianstad Hospital, Kristianstad, SE-29133 Sweden
| | - Gisela Lilja
- Department of Neurology, Skåne University Hospital, Lund, SE-22185 Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, SE-43180 Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, SE-43180 Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, SE-43180 Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, SE-43180 Sweden
- Department of Neurodegenerative Disease, University College London Institute of Neurology, London, United Kingdom
- United Kingdom Dementia Research Institute, University College London, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, United States of America
| | - Attila Frigyesi
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, SE-22185 Sweden
- Department of Intensive and Perioperative Care, Skåne University Hospital, Lund, SE-22185 Sweden
| | - Hans Friberg
- Department of Clinical Medicine, Anaesthesiology and Intensive Care, Lund University, Lund, SE-22185 Sweden
- Department of Intensive and Perioperative Care, Skåne University Hospital, Malmö, SE-20502 Sweden
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15
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Ferrari F, Rossi D, Ricciardi A, Morasso C, Brambilla L, Albasini S, Vanna R, Fassio C, Begenisic T, Loi M, Bossi D, Zaliani A, Alberici E, Lisi C, Morotti A, Cavallini A, Mazzacane F, Nardone A, Corsi F, Truffi M. Quantification and prospective evaluation of serum NfL and GFAP as blood-derived biomarkers of outcome in acute ischemic stroke patients. J Cereb Blood Flow Metab 2023; 43:1601-1611. [PMID: 37113060 PMCID: PMC10414005 DOI: 10.1177/0271678x231172520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 04/29/2023]
Abstract
Identification of reliable and accessible biomarkers to characterize ischemic stroke patients' prognosis remains a clinical challenge. Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) are markers of brain injury, detectable in blood by high-sensitive technologies. Our aim was to measure serum NfL and GFAP after stroke, and to evaluate their correlation with functional outcome and the scores in rehabilitation scales at 3-month follow-up. Stroke patients were prospectively enrolled in a longitudinal observational study within 24 hours from symptom onset (D1) and monitored after 7 (D7), 30 ± 3 (M1) and 90 ± 5 (M3) days. At each time-point serum NfL and GFAP levels were measured by Single Molecule Array and correlated with National Institute of Health Stroke Scale (NIHSS), modified Rankin scale (mRS), Trunk Control Test (TCT), Functional Ambulation Classification (FAC) and Functional Independence Measure (FIM) scores. Serum NfL and GFAP showed different temporal profiles: NfL increased after stroke with a peak value at D7; GFAP showed an earlier peak at D1. NfL and GFAP concentrations correlated with clinical/rehabilitation outcomes both longitudinally and prospectively. Multivariate analysis revealed that NfL-D7 and GFAP-D1 were independent predictors of 3-month NIHSS, TCT, FAC and FIM scores, with NfL being the biomarker with the best predictive performance.
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Affiliation(s)
- Federica Ferrari
- Dept of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Daniela Rossi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for Research on Neurodegenerative Disorders, Pavia, Italy
| | - Alessandra Ricciardi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Carlo Morasso
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Liliana Brambilla
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory for Research on Neurodegenerative Disorders, Pavia, Italy
| | - Sara Albasini
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Renzo Vanna
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
| | - Chiara Fassio
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Tatjana Begenisic
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Marianna Loi
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Daniela Bossi
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Alberto Zaliani
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute, Italy
| | - Elisa Alberici
- Istituti Clinici Scientifici Maugeri IRCCS, Neuroradiology Unit, Pavia, Italy
| | - Claudio Lisi
- Unit of Rehabilitation, Dept of Medical Sciences and Infectious Disease, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy
| | - Andrea Morotti
- Neurology Unit, Dept of Neurological Sciences and Vision, ASST Spedali Civili, Brescia, Italy
| | - Anna Cavallini
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Federico Mazzacane
- Dept of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Emergency Neurology Unit and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy
| | - Antonio Nardone
- Dept of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Department of Neurorehabilitation of Pavia Institute and Neurorehabilitation Unit of Montescano Institute, Pavia, Italy
| | - Fabio Corsi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
- Dept of Biomedical and Clinical Sciences, Università di Milano, Milano, Italy
| | - Marta Truffi
- Istituti Clinici Scientifici Maugeri IRCCS, Laboratory of Nanomedicine and Molecular Imaging, Pavia, Italy
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