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Agnello L, Gambino CM, Ciaccio AM, Giglio RV, Scazzone C, Tamburello M, Candore G, Accardi G, Aiello A, Del Ben F, Ciaccio M. Establishing sex- and age-related reference intervals of serum glial fibrillary acid protein measured by the fully automated lumipulse system. Clin Chem Lab Med 2025; 63:1402-1408. [PMID: 40059067 DOI: 10.1515/cclm-2025-0093] [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: 01/23/2025] [Accepted: 02/28/2025] [Indexed: 05/03/2025]
Abstract
OBJECTIVES To establish the reference intervals (RIs) of serum glial fibrillary acid protein (GFAP) measured by the fully automated Lumipulse system. METHODS The study population consisted of 340 healthy individuals, including 251 blood donors and 89 outpatients, with a median age of 56 years. Serum GFAP levels were measured by the Lumipulse G GFAP assay on the fully automated platform Lumipulse G1200 (FUJIREBIO Inc., Tokyo, Japan). GFAP RIs (2.5th and 97.5th percentiles) were calculated for the overall population and stratified by age and sex groups. For the overall population, males, and females partitions, we employed the nonparametric methods, while for the age-and-sex groups we employed the "robust" method, as recommended by CLSI. RESULTS The RI in the whole population was 10.4-92.0 ng/L. When considering sex differences, females showed higher levels of serum GFAP than males across all age groups. A positive correlation was observed between age and GFAP (Spearman's rho=0.55, p<0.001). Specifically, the biomarker was stable until 60 years, while individuals aged>60 years demonstrated significantly and considerably higher levels than younger age groups. Additionally, in the 50-60 age group, we observed gender-related differences, with females having increased levels than males. CONCLUSIONS GFAP levels are influenced by both age and sex. Accordingly, we established RIs of serum GFAP, taking into consideration age and sex-related differences.
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Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital Paolo Giaccone, Palermo, Italy
| | - Anna Maria Ciaccio
- Internal Medicine and Medical Specialties "G. D'Alessandro", Department of Health Promotion, Maternal and Infant Care, University of Palermo, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital Paolo Giaccone, Palermo, Italy
| | - Concetta Scazzone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
| | - Martina Tamburello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
| | - Giuseppina Candore
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Giulia Accardi
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Anna Aiello
- Laboratory of Immunopathology and Immunosenescence, Department of Biomedicine, Neuroscience and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Fabio Del Ben
- Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico (CRO)-IRCCS, Aviano, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Clinical Molecular Medicine, and Clinical Laboratory Medicine, Institute of Clinical Biochemistry, University of Palermo, Palermo, Italy
- Department of Laboratory Medicine, University Hospital Paolo Giaccone, Palermo, Italy
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Clemmensen FK, Gramkow MH, Simonsen AH, Ashton NJ, Huber H, Blennow K, Zetterberg H, Waldemar G, Hasselbalch SG, Frederiksen KS. Short-term variability of Alzheimer's disease plasma biomarkers in a mixed memory clinic cohort. Alzheimers Res Ther 2025; 17:26. [PMID: 39838483 PMCID: PMC11748847 DOI: 10.1186/s13195-024-01658-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 12/20/2024] [Indexed: 01/23/2025]
Abstract
BACKGROUND For clinical implementation of Alzheimer's disease (AD) blood-based biomarkers (BBMs), knowledge of short-term variability, is crucial to ensure safe and correct biomarker interpretation, i.e., to capture changes or treatment effects that lie beyond that of expected short-term variability and considered clinically relevant. In this study we investigated short-term intra- and inter-individual variability of AD biomarkers in the intended use population, memory clinic patients. METHODS In a consecutive sample of memory clinic patients (AD n = 27, non-AD n = 20), blood samples were collected on three separate days within a period of 36 days and analysed for plasma Aβ40, Aβ42, p-tau181, p-tau217, p-tau231, T-tau, neurofilament light (NfL), and glial fibrillary acidic protein (GFAP). We measured intra- and inter-individual variability and explored if the variability could be affected by confounding factors. Secondly, we established the minimum change required to detect a difference between two given blood samples that exceeds intra-individual variability and analytical variation (reference change value, RCV). Finally, we tested if classification accuracy varied across the three visits. RESULTS Intra-individual variability ranged from ~ 3% (Aβ42/40) to ~ 12% (T-tau). Inter-individual variability ranged from ~ 7% (Aβ40) to ~ 39% (NfL). Adjusting the models for time, eGFR, Hba1c, and BMI did not affect the variation. RCV was lowest for Aβ42/Aβ40 (- ~ 15%/ + ~ 17%) and highest in p-tau181 (- ~ 30/ + ~ 42%). No variation in classification accuracies was found across visits. CONCLUSION We found low intra-individual variability, robust to various factors, appropriate to capture individual changes in AD BBMs, while moderate inter-individual variability may give rise to caution in diagnostic contexts. High RCVs may pose challenges for AD BBMs with low fold changes and consequently, short-term variability is important to take into consideration when, e.g., estimating intervention effect and longitudinal changes of AD BBM levels. TRIAL REGISTRATION Clinicaltrials.gov (NCT05175664), date of registration 2021-12-01.
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Affiliation(s)
- Frederikke Kragh Clemmensen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark.
| | - Mathias Holsey Gramkow
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark
| | - Anja Hviid Simonsen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Lab Hus V3, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 43180, Sweden
- Institute of Psychiatry, Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute, King's College London, 5 Cutcombe Rd, Brixton, London, SE5 9RT, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Postboks 8100, Stavanger, 4068, Norway
| | - Hanna Huber
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Lab Hus V3, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 43180, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Lab Hus V3, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 43180, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 43180, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, 91-105, Bd de L'Hôpital, Paris, 75013, France
- Division of Life Sciences and Medicine, and, Department of Neurology, Institute On Aging and Brain Disorders, Neurodegenerative Disorder Research Center, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, 230026, P.R. China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Lab Hus V3, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 43180, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 43180, Sweden
- Department of Neurodegenerative Disease, University College London Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- Dementia Research Institute at University College London, Tottenham Ct Rd, London, W1T 7NF, UK
- Hong Kong Center for Neurodegenerative Diseases, Science Park, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin- Madison, 600 Highland Avenue, Madison, WI, 2420, USA
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark
| | - Steen Gregers Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark
| | - Kristian Steen Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmans Vej 8, Copenhagen, DK-2100, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen, 2200, Denmark
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Wu AHB, Peacock WF. On-Field Rule Out of Mild Traumatic Brain Injury: Can Blood-Based Biomarker Testing Change Outcome of Major Sporting Events? J Appl Lab Med 2024; 9:1057-1063. [PMID: 38973027 DOI: 10.1093/jalm/jfae070] [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: 01/17/2024] [Accepted: 05/20/2024] [Indexed: 07/09/2024]
Abstract
BACKGROUND Mild traumatic brain injury (mTBI) is defined as a Glascow Coma Score of between 13 and 15. The diagnosis and rule out of individuals suffering from mTBI on an acute basis is imperfect and involves subjective measures. Serum biomarkers that exhibit narrow within-individual biological variation can be used for the early rule-out of mTBI, when baseline levels are compared during health. METHODS This is a descriptive study that applies published biological variation data of serum mTBI biomarkers for early rule out of sports-related injury. RESULTS Laboratory tests such as glial fibrillary acidic protein, fatty acid binding protein 7, and phosphorylated protein enriched in astrocytes have low within-individual variances and are potential candidates. Aldolase C also rises early in blood but the biological variation is of this marker is currently unknown. CONCLUSIONS The use of blood-based biomarkers, measured in real time using point-of-care testing devices when compared to a pre-competition baseline instead of a population-based reference interval, can provide early rule out of mTBI, and possibly enable on-field evaluations and a medical decision for a return to competition.
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Affiliation(s)
- Alan H B Wu
- Department of Laboratory Medicine, University of California, San Francisco, CA, United States
| | - W Franklin Peacock
- Department of Emergency Medicine, Baylor College of Medicine, Houston, TX, United States
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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: 6] [Impact Index Per Article: 6.0] [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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Oyagbemi AA, Adebayo AK, Adebiyi OE, Adigun KO, Folarin OR, Esan OO, Ajibade TO, Ogunpolu BS, Falayi OO, Ogunmiluyi IO, Olutayo Omobowale T, Ola-Davies OE, Olopade JO, Saba AB, Adedapo AA, Nkadimeng SM, McGaw LJ, Yakubu MA, Nwulia E, Oguntibeju OO. Leaf extract of Anacardium occidentale ameliorates biomarkers of neuroinflammation, memory loss, and neurobehavioral deficit in N(ω)-nitro-L-arginine methyl ester (L-NAME) treated rats. Biomarkers 2023; 28:263-272. [PMID: 36632742 DOI: 10.1080/1354750x.2022.2164354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
PURPOSE Anacardium occidentale commonly known as Cashew is a plant that is widely used in African traditional medicine. It is endowed with phytochemical constituents that are responsible for its medicinal properties. METHODS Twenty-five male Wistar rats were grouped as follows: Control (Group A), Group B (L-NAME 40 mg/kg), Group C (100 mg/kg Anacardium occidentale extract plus 40 mg/kg L-NAME), Group D (200 mg/kg extract plus 40 mg/kg L-NAME) and Group E (10 mg/kg of Lisinopril plus 40 mg/kg L-NAME). The animals were treated with oral administration of either the extracts or Lisnopril daily for 4 weeks. Neuro-behavioural tests such as the Morris Water Maze and Hanging Wire Grip tests were carried out to evaluate memory/spatial learning and muscular strength, respectively. Makers of oxidative stress, antioxidant enzymes and immunohistochemical staining of Glial Fibrillary Acidic Protein and Ionised Calcium Binding Adaptor molecule 1 were assessed. RESULTS L-NAME administration caused significant increases in biomarkers of oxidative stress, decreased antioxidant status, acetylcholinesterase activity, altered neuro-behavioural changes, astrocytosis, and microgliosis. However, Anacardium occidentale reversed exaggerated oxidative stress biomarkers and improved neuro-behavioural changes. CONCLUSIONS Combining all, Anacardium occidentale enhanced brain antioxidant defence status, improved memory and muscular strength, thus, suggesting the neuroprotective properties of Anacardium occidentale.
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Affiliation(s)
- Ademola Adetokunbo Oyagbemi
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adedeji Kolawole Adebayo
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olamide Elizabeth Adebiyi
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Kabirat Oluwaseun Adigun
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oluwabusayo Racheal Folarin
- Department of Biomedical Laboratory Sciences, Faculty of Basic Medical Sciences, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oluwaseun Olanrewaju Esan
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Temitayo Olabisi Ajibade
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Blessing Seun Ogunpolu
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olufunke Olubunmi Falayi
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Iyanuoluwa Omolola Ogunmiluyi
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Temidayo Olutayo Omobowale
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olufunke Eunice Ola-Davies
- Department of Veterinary Physiology and Biochemistry, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - James Olukayode Olopade
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adebowale Benard Saba
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeolu Alex Adedapo
- Department of Veterinary Pharmacology and Toxicology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria
| | - Sanah Malomile Nkadimeng
- Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa Florida Campus, University of South Africa, Roodepoort, South Africa
| | - Lyndy Joy McGaw
- Phytomedicine Programme, Department of Paraclinical Science, University of Pretoria, Faculty of Veterinary Science, Pretoria, South Africa
| | - Momoh Audu Yakubu
- Department of Environmental & Interdisciplinary Sciences, College of Science, Engineering & Technology, Vascular Biology Unit, Center for Cardiovascular Diseases, COPHS, Texas Southern University, Houston, Texas, USA
| | - Evaristus Nwulia
- Department of Psychiatry and Behavioral Sciences, College of Medicine, Howard University Hospital, Howard University, Washington, District of Columbia, USA
| | - Oluwafemi Omoniyi Oguntibeju
- Phytomedicine and Phytochemistry Group, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Bellville, South Africa
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6
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Wu AHB. Using Biomarkers for Traumatic Brain Injury: Are There Lessons That Can Be Learned from Implementing Cardiac Troponin? Clin Chem 2023:6972572. [PMID: 36611275 DOI: 10.1093/clinchem/hvac194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 10/13/2022] [Indexed: 01/09/2023]
Affiliation(s)
- Alan H B Wu
- Department of Laboratory Medicine, University of California, San Francisco
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Tybirk L, Hviid CVB, Knudsen CS, Parkner T. Serum GFAP - reference interval and preanalytical properties in Danish adults. Clin Chem Lab Med 2022; 60:1830-1838. [PMID: 36067832 DOI: 10.1515/cclm-2022-0646] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/24/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Glial fibrillary acidic protein (GFAP) is a promising biomarker that could potentially contribute to diagnosis and prognosis in neurological diseases. The biomarker is approaching clinical use but the reference interval for serum GFAP remains to be established, and knowledge about the effect of preanalytical factors is also limited. METHODS Serum samples from 371 apparently healthy reference subjects, 21-90 years of age, were measured by a single-molecule array (Simoa) assay. Continuous reference intervals were modelled using non-parametric quantile regression and compared with traditional age-partitioned non-parametric reference intervals established according to the Clinical and Laboratory Standards Institute (CLSI) guideline C28-A3. The following preanalytical conditions were also examined: stability in whole blood at room temperature (RT), stability in serum at RT and -20 °C, repeated freeze-thaw cycles, and haemolysis. RESULTS The continuous reference interval showed good overall agreement with the traditional age-partitioned reference intervals of 25-136 ng/L, 34-242 ng/L, and 5-438 ng/L for the age groups 20-39, 40-64, and 65-90 years, respectively. Both types of reference intervals showed increasing levels and variability of serum GFAP with age. In the preanalytical tests, the mean changes from baseline were 2.3% (95% CI: -2.4%, 6.9%) in whole blood after 9 h at RT, 3.1% (95% CI: -4.5%, 10.7%) in serum after 7 days at RT, 10.4% (95% CI: -6.0%, 26.8%) in serum after 133 days at -20 °C, and 10.4% (95% CI: 9.5%, 11.4%) after three freeze-thaw cycles. CONCLUSIONS The study establishes age-dependent reference ranges for serum GFAP in adults and demonstrates overall good stability of the biomarker.
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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
| | | | - Tina Parkner
- Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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