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Holper S, Loveland P, Churilov L, Italiano D, Watson R, Yassi N. Blood Astrocyte Biomarkers in Alzheimer Disease: A Systematic Review and Meta-Analysis. Neurology 2024; 103:e209537. [PMID: 38986050 DOI: 10.1212/wnl.0000000000209537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Neuroinflammation, particularly early astrocyte reactivity, is a significant driver of Alzheimer disease (AD) pathogenesis. It is unclear how the levels of astrocyte biomarkers change in patients across the AD continuum and which best reflect AD-related change. We performed a systematic review and meta-analysis of 3 blood astrocyte biomarkers (glial fibrillary acidic protein [GFAP], chitinase-3-like protein 1 [YKL-40], and S100B) in patients clinically diagnosed with AD. METHODS MEDLINE and Web of Science were searched on March 23, 2023, without restrictions on language, time, or study design, for studies reporting blood levels of the astrocyte biomarkers GFAP, YKL-40, or S100B in patients on the AD continuum (including those with mild cognitive impairment [MCI] and dementia) and a cognitively unimpaired (CU) control population. AD diagnosis was based on established diagnostic criteria and/or comprehensive multidisciplinary clinical consensus. Studies reporting indirect biomarker measures (e.g., levels of biomarker autoantibodies) were excluded. Risk of bias assessment was performed using the revised Quality Assessment of Diagnostic Accuracy Studies tool. Pooled effect sizes were determined using the Hedge g method with a random-effects model. The review was prospectively registered on PROSPERO (registration number CRD42023458305). RESULTS The search identified 1,186 studies; 36 met inclusion criteria (AD continuum n = 3,366, CU n = 4,115). No study was assessed to have a high risk of bias. Compared with CU individuals, patients on the AD continuum had higher GFAP and YKL-40 levels (GFAP effect size 1.15, 95% CI 0.94-1.36, p < 0.0001; YKL-40 effect size 0.38, 95% CI 0.28-0.49, p < 0.0001). Both biomarkers were elevated in more advanced clinical stages of the disease (i.e., in AD dementia compared with MCI due to AD: GFAP effect size 0.48, 95% CI 0.19-0.76, p = 0.0009; YKL-40 effect size 0.34, 95% CI 0.10-0.57, p = 0.0048). No significant differences in blood S100B levels were identified. DISCUSSION We demonstrated significant elevations in blood GFAP and YKL-40 levels in patients on the AD continuum compared with CU individuals. Furthermore, within the AD clinical spectrum, significant elevation correlated with more advanced disease stage. Our findings suggest that both biomarkers reflect AD-related pathology. Our findings are limited by the lack of cultural and linguistic diversity in the study populations meta-analyzed. Future meta-analyses using a biomarker-defined AD population are warranted.
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Affiliation(s)
- Sarah Holper
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Paula Loveland
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Leonid Churilov
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Dominic Italiano
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Rosie Watson
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - Nawaf Yassi
- From the Population Health and Immunity Division (S.H., P.L., R.W., N.Y.), The Walter and Eliza Hall Institute of Medical Research; Department of Medicine (S.H., P.L., L.C., D.I., R.W., N.Y.), The Royal Melbourne Hospital, and Department of Neurology (N.Y.), Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
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Hirata K, Matsuoka K, Tagai K, Endo H, Tatebe H, Ono M, Kokubo N, Kataoka Y, Oyama A, Shinotoh H, Takahata K, Obata T, Dehghani M, Near J, Kawamura K, Zhang MR, Shimada H, Shimizu H, Kakita A, Yokota T, Tokuda T, Higuchi M, Takado Y. In Vivo Assessment of Astrocyte Reactivity in Patients with Progressive Supranuclear Palsy. Ann Neurol 2024; 96:247-261. [PMID: 38771066 DOI: 10.1002/ana.26962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/12/2024] [Accepted: 04/16/2024] [Indexed: 05/22/2024]
Abstract
OBJECTIVE Although astrocytic pathology is a pathological hallmark of progressive supranuclear palsy (PSP), its pathophysiological role remains unclear. This study aimed to assess astrocyte reactivity in vivo in patients with PSP. Furthermore, we investigated alterations in brain lactate levels and their relationship with astrocyte reactivity. METHODS We included 30 patients with PSP-Richardson syndrome and 30 healthy controls; in patients, tau deposition was confirmed through 18F-florzolotau positron emission tomography. Myo-inositol, an astroglial marker, and lactate were quantified in the anterior cingulate cortex through magnetic resonance spectroscopy. We measured plasma biomarkers, including glial fibrillary acidic protein as another astrocytic marker. The anterior cingulate cortex was histologically assessed in postmortem samples of another 3 patients with PSP with comparable disease durations. RESULTS The levels of myo-inositol and plasma glial fibrillary acidic protein were significantly higher in patients than those in healthy controls (p < 0.05); these increases were significantly associated with PSP rating scale and cognitive function scores (p < 0.05). The lactate level was high in patients, and correlated significantly with high myo-inositol levels. Histological analysis of the anterior cingulate cortex in patients revealed reactive astrocytes, despite mild tau deposition, and no marked synaptic loss. INTERPRETATION We discovered high levels of astrocyte biomarkers in patients with PSP, suggesting astrocyte reactivity. The association between myo-inositol and lactate levels suggests a link between reactive astrocytes and brain energy metabolism changes. Our results indicate that astrocyte reactivity in the anterior cingulate cortex precedes pronounced tau pathology and neurodegenerative processes in that region, and affects brain function in PSP. ANN NEUROL 2024;96:247-261.
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Affiliation(s)
- Kosei Hirata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kiwamu Matsuoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kenji Tagai
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hironobu Endo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Harutsugu Tatebe
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Maiko Ono
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Naomi Kokubo
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuko Kataoka
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Asaka Oyama
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hitoshi Shinotoh
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Neurology Clinic Chiba, Chiba, Japan
| | - Keisuke Takahata
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Takayuki Obata
- Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | | | - Jamie Near
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Kazunori Kawamura
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Ming-Rong Zhang
- Department of Advanced Nuclear Medicine Sciences, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hitoshi Shimada
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Center for integrated human brain science, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hiroshi Shimizu
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Takanori Yokota
- Department of Neurology and Neurological Science, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takahiko Tokuda
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Makoto Higuchi
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuhei Takado
- Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
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Prajapati SK, Pathak A, Samaiya PK. Alzheimer's disease: from early pathogenesis to novel therapeutic approaches. Metab Brain Dis 2024:10.1007/s11011-024-01389-6. [PMID: 39046584 DOI: 10.1007/s11011-024-01389-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
The mainstay behind Alzheimer's disease (AD) remains unknown due to the elusive pathophysiology of the disease. Beta-amyloid and phosphorylated Tau is still widely incorporated in various research studies while studying AD. However, they are not sufficient. Therefore, many scientists and researchers have dug into AD studies to deliver many innovations in this field. Many novel biomarkers, such as phosphoglycerate-dehydrogenase, clusterin, microRNA, and a new peptide ratio (Aβ37/Aβ42) in cerebral-spinal fluid, plasma glial-fibrillary-acidic-protein, and lipid peroxidation biomarkers, are mushrooming. They are helping scientists find breakthroughs and substantiating their research on the early detection of AD. Neurovascular unit dysfunction in AD is a significant discovery that can help us understand the relationship between neuronal activity and cerebral blood flow. These new biomarkers are promising and can take these AD studies to another level. There have also been big steps forward in diagnosing and finding AD. One example is self-administered-gerocognitive-examination, which is less expensive and better at finding AD early on than mini-mental-state-examination. Quantum brain sensors and electrochemical biosensors are innovations in the detection field that must be explored and incorporated into the studies. Finally, novel innovations in AD studies like nanotheranostics are the future of AD treatment, which can not only diagnose and detect AD but also offer treatment. Non-pharmacological strategies to treat AD have also yielded interesting results. Our literature review spans from 1957 to 2022, capturing research and trends in the field over six decades. This review article is an update not only on the recent advances in the search for credible biomarkers but also on the newer detection techniques and therapeutic approaches targeting AD.
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Affiliation(s)
- Santosh Kumar Prajapati
- Bhavdiya Institute of Pharmaceutical Sciences and Research, Ayodhya, UP, India
- Department of Neurosurgery and Brain Repair, University of South Florida, Tampa, FL, 33613, USA
| | - Arjit Pathak
- Department of Pharmacy Shri G.S. Institute of Technology and Science, Indore, 452003, Madhya Pradesh, India
| | - Puneet K Samaiya
- Department of Pharmacy Shri G.S. Institute of Technology and Science, Indore, 452003, Madhya Pradesh, India.
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Yu X, Shi R, Zhou X, Zhang M, Cai Y, Jiang J, Han Y. Correlations between plasma markers and brain Aβ deposition across the AD continuum: Evidence from SILCODE. Alzheimers Dement 2024. [PMID: 38982860 DOI: 10.1002/alz.14084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/02/2024] [Accepted: 06/03/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND Previous studies have found that Alzheimer's disease (AD)-related plasma markers are associated with amyloid beta (Aβ) deposition, but the change of this association in different Aβ pathological stages remains unclear. METHODS Data were obtained from the SILCODE. According to the standardized uptake value ratio (SUVR) and Aβ stage classification, correlation analysis was performed among plasma biomarkers, and voxel/SUVR values in the regions of interest (ROI) and clinical scale information, respectively. Mediation analysis was used to study the possible pathways. RESULTS The proportion of cognitively normal (CN) and subjective cognitive decline (SCD) was the highest in stages A0 to 1, while in stages A2 to 4, the proportion of mild cognitive impairment (MCI) and AD increased. Plasma phosphorylated tau (p-tau)181 and glial fibrillary acidic protein (GFAP) levels were significantly lower in stage A0 compared to the later phases. Two pathways demonstrated fully mediated effects: positron emission tomography (PET) SUVR-plasma p-tau181-Mini-Mental State Examination (MMSE) and PET SUVR-plasma GFAP-MMSE. DISCUSSION This study demonstrated the role of plasma biomarkers in the early stage of AD, especially in SCD, from both the clinical diagnosis and Aβ stage dimensions. HIGHLIGHTS Plasma ptau181 and GFAP level serve as indicators of early Alzheimer's disease and the pathologic Aβ staging classification. A possible ceiling effect of GFAP was observed in the mid-to-late stages of the AD course. This study confirms the role of AD plasma markers in promoting Aβ deposition at an early stage, particularly in females with subjective cognitive decline(SCD). The overlapping brain regions of plasma p-tau181, GFAP, and neurofilament light for Aβ deposition in the brain in early AD were distributed across various regions, including the posterior cingulate gyrus, rectus gyrus, and inferior temporal gyrus.
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Affiliation(s)
- Xianfeng Yu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Rong Shi
- School of Information and Communication Engineering, Shanghai University, Shanghai, China
| | - Xia Zhou
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Mingkai Zhang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
- School of Biomedical Engineering, Hainan University, Haikou, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- The Central Hospital of Karamay, Xinjiang, China
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Bobkova NV, Chuvakova LN, Kovalev VI, Zhdanova DY, Chaplygina AV, Rezvykh AP, Evgen'ev MB. A Mouse Model of Sporadic Alzheimer's Disease with Elements of Major Depression. Mol Neurobiol 2024:10.1007/s12035-024-04346-7. [PMID: 38980563 DOI: 10.1007/s12035-024-04346-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
After olfactory bulbectomy, animals are often used as a model of major depression or sporadic Alzheimer's disease and, hence, the status of this model is still disputable. To elucidate the nature of alterations in the expression of the genome after the operation, we analyzed transcriptomes of the cortex, hippocampus, and cerebellum of the olfactory bulbectomized (OBX) mice. Analysis of the functional significance of genes in the brain of OBX mice indicates that the balance of the GABA/glutamatergic systems is disturbed with hyperactivation of the latter in the hippocampus, leading to the development of excitotoxicity and induction of apoptosis in the background of severe mitochondrial dysfunction and astrogliosis. On top of this, the synthesis of neurotrophic factors decreases leading to the disruption of the cytoskeleton of neurons, an increase in the level of intracellular calcium, and the activation of tau protein hyperphosphorylation. Moreover, the acetylcholinergic system is deficient in the background of the hyperactivation of acetylcholinesterase. Importantly, the activity of the dopaminergic, endorphin, and opiate systems in OBX mice decreases, leading to hormonal dysfunction. On the other hand, genes responsible for the regulation of circadian rhythms, cell migration, and innate immunity are activated in OBX animals. All this takes place in the background of a drastic downregulation of ribosomal protein genes in the brain. The obtained results indicate that OBX mice represent a model of Alzheimer's disease with elements of major depression.
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Affiliation(s)
- N V Bobkova
- Institute of Cell Biophysics of the Russian Academy of Sciences-Federal Research Center, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia
| | - L N Chuvakova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991, Moscow, Russia
| | - V I Kovalev
- Institute of Cell Biophysics of the Russian Academy of Sciences-Federal Research Center, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia
| | - D Y Zhdanova
- Institute of Cell Biophysics of the Russian Academy of Sciences-Federal Research Center, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia
| | - A V Chaplygina
- Institute of Cell Biophysics of the Russian Academy of Sciences-Federal Research Center, Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, 142290, Pushchino, Moscow Region, Russia
| | - A P Rezvykh
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991, Moscow, Russia
| | - M B Evgen'ev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991, Moscow, Russia.
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Gao Y, Xu SM, Cheng Y, Takenaka K, Lindner G, Janitz M. Investigation of the Circular Transcriptome in Alzheimer's Disease Brain. J Mol Neurosci 2024; 74:64. [PMID: 38981928 PMCID: PMC11233389 DOI: 10.1007/s12031-024-02236-0] [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: 03/15/2024] [Accepted: 06/10/2024] [Indexed: 07/11/2024]
Abstract
Circular RNAs (circRNAs) are a subclass of non-coding RNAs which have demonstrated potential as biomarkers for Alzheimer's disease (AD). In this study, we conducted a comprehensive exploration of the circRNA transcriptome within AD brain tissues. Specifically, we assessed circRNA expression patterns in the dorsolateral prefrontal cortex collected from nine AD-afflicted individuals and eight healthy controls. Utilising two circRNA detection tools, CIRI2 and CIRCexplorer2, we detected thousands of circRNAs and performed a differential expression analysis. CircRNAs which exhibited statistically significantly differential expression were identified as AD-specific differentially expressed circRNAs. Notably, our investigation revealed 120 circRNAs with significant upregulation and 1325 circRNAs displaying significant downregulation in AD brains when compared to healthy brain tissue. Additionally, we explored the expression profiles of the linear RNA counterparts corresponding to differentially expressed circRNAs in AD-afflicted brains and discovered that the linear RNA counterparts exhibited no significant changes in the levels of expression. We used CRAFT tool to predict that circUBE4B had potential to target miRNA named as hsa-miR-325-5p, ultimately regulated CD44 gene. This study provides a comprehensive overview of differentially expressed circRNAs in the context of AD brains, underscoring their potential as molecular biomarkers for AD. These findings significantly enhance our comprehension of AD's underlying pathophysiological mechanisms, offering promising avenues for future diagnostic and therapeutic developments.
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Affiliation(s)
- Yulan Gao
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Si-Mei Xu
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Yuning Cheng
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Konii Takenaka
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Grace Lindner
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
| | - Michael Janitz
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
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Li A, Zhao R, Zhang M, Sun P, Cai Y, Zhu L, Kung H, Han Y, Wang X, Guo T. [ 18F]-D3FSP β-amyloid PET imaging in older adults and alzheimer's disease. Eur J Nucl Med Mol Imaging 2024:10.1007/s00259-024-06835-2. [PMID: 38976036 DOI: 10.1007/s00259-024-06835-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 07/04/2024] [Indexed: 07/09/2024]
Abstract
PURPOSE [18F]-D3FSP is a new β-amyloid (Aβ) PET imaging tracer designed to decrease nonspecific signals in the brain by reducing the formation of the N-demethylated product. However, its optimal reference region for calculating the standardized uptake value ratio (SUVR) and its relation to the well-established biomarkers of Alzheimer's disease (AD) are still unclear. METHODS We recruited 203 participants from the Greater Bay Area Healthy Aging Brain Study (GHABS) to undergo [18F]-D3FSP Aβ PET imaging. We analyzed plasma Aβ42/Aβ40, p-Tau181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) using the Simoa platform. We compared the standardized uptake value (SUV) of five reference regions (cerebellum, cerebellum cortex, brainstem/PONs, white matter, composite of the four regions above) and AD typical cortical region (COMPOSITE) SUVR among different clinical groups. The association of D3FSP SUVR with plasma biomarkers, imaging biomarkers, and cognition was also investigated. RESULTS Brainstem/PONs SUV showed the lowest fluctuation across diagnostic groups, and COMPOSITE D3FSP SUVR had an enormous effect distinguishing cognitively impaired (CI) individuals from cognitively unimpaired (CU) individuals. COMPOSITE SUVR (Referred to brainstem/PONs) was positively correlated with p-Tau181 (p < 0.001), GFAP (p < 0.001), NfL (p = 0.014) in plasma and temporal-metaROI tau deposition (p < 0.001), and negatively related to plasma Aβ42/Aβ40 (p < 0.001), temporal-metaROI cortical thickness (p < 0.01), residual hippocampal volume (p < 0.001) and cognition (p < 0.001). The voxel-wise analysis replicated these findings. CONCLUSION This study suggests brainstem/PONs as an optimal reference region for calculating D3FSP SUVR to quantify cortical Aβ plaques in the brain. [18F]-D3FSP could distinguish CI from CU and strongly correlates with well-established plasma biomarkers, tau PET, neurodegeneration, and cognitive decline. However, future head-to-head comparisons of [18F]-D3FSP PET images with other validated Aβ PET tracers or postmortem results are crucial.
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Affiliation(s)
- Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Ruiyue Zhao
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China
| | - Mingkai Zhang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Pan Sun
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
| | - Lin Zhu
- Beijing Normal University, Beijing, 100875, China
| | - Hank Kung
- University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ying Han
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
- School of Biomedical Engineering, Hainan University, Haikou, 570228, China
- National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Xinlu Wang
- Department of Nuclear Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510120, China.
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China.
| | - Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, No.5 Kelian Road, Shenzhen, 518132, China.
- Institute of Biomedical Engineering, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
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Vrillon A, Bousiges O, Götze K, Demuynck C, Muller C, Ravier A, Schorr B, Philippi N, Hourregue C, Cognat E, Dumurgier J, Lilamand M, Cretin B, Blanc F, Paquet C. Plasma biomarkers of amyloid, tau, axonal, and neuroinflammation pathologies in dementia with Lewy bodies. Alzheimers Res Ther 2024; 16:146. [PMID: 38961441 PMCID: PMC11221164 DOI: 10.1186/s13195-024-01502-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/12/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Increasing evidence supports the use of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation for diagnosis of dementia. However, their performance for positive and differential diagnosis of dementia with Lewy bodies (DLB) in clinical settings is still uncertain. METHODS We conducted a retrospective biomarker study in two tertiary memory centers, Paris Lariboisière and CM2RR Strasbourg, France, enrolling patients with DLB (n = 104), Alzheimer's disease (AD, n = 76), and neurological controls (NC, n = 27). Measured biomarkers included plasma Aβ40/Aβ42 ratio, p-tau181, NfL, and GFAP using SIMOA and plasma YKL-40 and sTREM2 using ELISA. DLB patients with available CSF analysis (n = 90) were stratified according to their CSF Aβ profile. RESULTS DLB patients displayed modified plasma Aβ ratio, p-tau181, and GFAP levels compared with NC and modified plasma Aβ ratio, p-tau181, GFAP, NfL, and sTREM2 levels compared with AD patients. Plasma p-tau181 best differentiated DLB from AD patients (ROC analysis, area under the curve [AUC] = 0.80) and NC (AUC = 0.78), and combining biomarkers did not improve diagnosis performance. Plasma p-tau181 was the best standalone biomarker to differentiate amyloid-positive from amyloid-negative DLB cases (AUC = 0.75) and was associated with cognitive status in the DLB group. Combining plasma Aβ ratio, p-tau181 and NfL increased performance to identify amyloid copathology (AUC = 0.79). Principal component analysis identified different segregation patterns of biomarkers in the DLB and AD groups. CONCLUSIONS Amyloid, tau, neurodegeneration and neuroinflammation plasma biomarkers are modified in DLB, albeit with moderate diagnosis performance. Plasma p-tau181 can contribute to identify Aβ copathology in DLB.
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Affiliation(s)
- Agathe Vrillon
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France.
- Université Paris Cité, INSERM, UMRS 1144, Paris, France.
- University of California San Francisco, San Francisco, USA.
| | - Olivier Bousiges
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, Strasbourg, France
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
| | - Karl Götze
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
| | - Catherine Demuynck
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Candice Muller
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Alix Ravier
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Benoît Schorr
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
| | - Nathalie Philippi
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Claire Hourregue
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Emmanuel Cognat
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
| | - Julien Dumurgier
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Matthieu Lilamand
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
| | - Benjamin Cretin
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Frédéric Blanc
- University of Strasbourg and CNRS, ICube laboratory UMR 7357 and FMTS (Fédération de Médecine Translationnelle de Strasbourg), team IMIS Strasbourg, Strasbourg, France
- CM2R (Memory Resource and Research Centre), Service of Gerontology Mobile-Neuro-Psy-Research, Geriatrics Department, University Hospital of Strasbourg, Strasbourg, France
- Neuropsychology unit, Service of Neurology Strasbourg, University Hospital of Strasbourg, Strasbourg, France
| | - Claire Paquet
- AP-HP Nord, Cognitive Neurology Center Hôpital Lariboisière-Fernand Widal, Université Paris Cité, 200 rue du Faubourg Saint-Denis, Paris, 75010, France
- Université Paris Cité, INSERM, UMRS 1144, Paris, France
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9
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Sun Y, Xia Q, Du L, Gan Y, Ren X, Liu G, Wang Y, Yan S, Li S, Zhang X, Xiao X, Jin H. Neuroprotective effects of Anshen Bunao Syrup on cognitive dysfunction in Alzheimer's disease rat models. Biomed Pharmacother 2024; 176:116754. [PMID: 38810401 DOI: 10.1016/j.biopha.2024.116754] [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: 03/25/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/31/2024] Open
Abstract
Alzheimer's disease (AD) presents a significant challenge due to its prevalence and lack of cure, driving the quest for effective treatments. Anshen Bunao Syrup, a traditional Chinese medicine known for its neuroprotective properties, shows promise in addressing this need. However, understanding its precise mechanisms in AD remains elusive. This study aimed to investigate Anshen Bunao Syrup's therapeutic potential in AD treatment using a scopolamine-induced AD rat model. Assessments included novel-object recognition and Morris water maze tasks to evaluate spatial learning and memory, alongside Nissl staining and ELISA analyses for neuronal damage and biomarker levels. Results demonstrated that Anshen Bunao Syrup effectively mitigated cognitive dysfunction by inhibiting amyloid-β and phosphorylation Tau aggregation, thereby reducing neuronal damage. Metabolomics profiling of rats cortex revealed alterations in key metabolites implicated in tryptophan and fatty acid metabolism pathways, suggesting a role in the therapeutic effects of Anshen Bunao Syrup. Additionally, ELISA and correlation analyses indicated attenuation of oxidative stress and immune response through metabolic remodeling. In conclusion, this study provides compelling evidence for the neuroprotective effects of Anshen Bunao Syrup in AD models, shedding light on its potential as a therapeutic agent for AD prevention and treatment.
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Affiliation(s)
- Yuanfang Sun
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Qi Xia
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Lijing Du
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Yu Gan
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Xiaopeng Ren
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China; Institute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Gang Liu
- Jilin Aodong Yanbian Pharmaceutical Co., Ltd., Yanbian 133700, China
| | - Yongkuan Wang
- Jilin Aodong Yanbian Pharmaceutical Co., Ltd., Yanbian 133700, China
| | - Shikai Yan
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China; Institute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Shasha Li
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Xiuyun Zhang
- Jilin Aodong Yanbian Pharmaceutical Co., Ltd., Yanbian 133700, China.
| | - Xue Xiao
- Institute of Traditional Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou 510006, China.
| | - Huizi Jin
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.
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10
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Gayger-Dias V, Menezes L, Da Silva VF, Stiborski A, Silva ACR, Sobottka TM, Quines-Silva VC, Pakulski-Souto B, Bobermin LD, Quincozes-Santos A, Leite MC, Gonçalves CA. Changes in Astroglial Water Flow in the Pre-amyloid Phase of the STZ Model of AD Dementia. Neurochem Res 2024; 49:1851-1862. [PMID: 38733521 DOI: 10.1007/s11064-024-04144-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/04/2024] [Accepted: 05/02/2024] [Indexed: 05/13/2024]
Abstract
Alzheimer's disease (AD) is an age-dependent neurodegenerative disease that is typically sporadic and has a high social and economic cost. We utilized the intracerebroventricular administration of streptozotocin (STZ), an established preclinical model for sporadic AD, to investigate hippocampal astroglial changes during the first 4 weeks post-STZ, a period during which amyloid deposition has yet to occur. Astroglial proteins aquaporin 4 (AQP-4) and connexin-43 (Cx-43) were evaluated, as well as claudins, which are tight junction (TJ) proteins in brain barriers, to try to identify changes in the glymphatic system and brain barrier during the pre-amyloid phase. Glial commitment, glucose hypometabolism and cognitive impairment were characterized during this phase. Astroglial involvement was confirmed by an increase in glial fibrillary acidic protein (GFAP); concurrent proteolysis was also observed, possibly mediated by calpain. Levels of AQP-4 and Cx-43 were elevated in the fourth week post-STZ, possibly accelerating the clearance of extracellular proteins, since these proteins actively participate in the glymphatic system. Moreover, although we did not see a functional disruption of the blood-brain barrier (BBB) at this time, claudin 5 (present in the TJ of the BBB) and claudin 2 (present in the TJ of the blood-cerebrospinal fluid barrier) were reduced. Taken together, data support a role for astrocytes in STZ brain damage, and suggest that astroglial dysfunction accompanies or precedes neuronal damage in AD.
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Affiliation(s)
- Vitor Gayger-Dias
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Leonardo Menezes
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Vanessa-Fernanda Da Silva
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Amanda Stiborski
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Ana Carolina Ribeiro Silva
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Thomas Michel Sobottka
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Vitória Cristine Quines-Silva
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Betina Pakulski-Souto
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Larissa Daniele Bobermin
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
- Graduate Program in Neurosciences, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - André Quincozes-Santos
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
- Graduate Program in Neurosciences, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Marina Concli Leite
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil
| | - Carlos-Alberto Gonçalves
- Biochemistry Laboratory 33, Graduate Program in Biochemistry, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil.
- Graduate Program in Neurosciences, Institute of Basic Health Sciences, Universidade Federal do Rio Grande do Sul, Ramiro Barcelos Street, 2600, Porto Alegre, 90035-003, Brazil.
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11
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Singh NA, Alnobani A, Graff‐Radford J, Machulda MM, Mielke MM, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Kanekiyo T, Josephs KA, Whitwell JL. Relationships between PET and blood plasma biomarkers in corticobasal syndrome. Alzheimers Dement 2024; 20:4765-4774. [PMID: 38885334 PMCID: PMC11247700 DOI: 10.1002/alz.13914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 06/20/2024]
Abstract
INTRODUCTION Corticobasal syndrome (CBS) can result from underlying Alzheimer's disease (AD) pathologies. Little is known about the utility of blood plasma metrics to predict positron emission tomography (PET) biomarker-confirmed AD in CBS. METHODS A cohort of eighteen CBS patients (8 amyloid beta [Aβ]+; 10 Aβ-) and 8 cognitively unimpaired (CU) individuals underwent PET imaging and plasma analysis. Plasma concentrations were compared using a Kruskal-Wallis test. Spearman correlations assessed relationships between plasma concentrations and PET uptake. RESULTS CBS Aβ+ group showed a reduced Aβ42/40 ratio, with elevated phosphorylated tau (p-tau)181, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) concentrations, while CBS Aβ- group only showed elevated NfL concentration compared to CU. Both p-tau181 and GFAP were able to differentiate CBS Aβ- from CBS Aβ+ and showed positive associations with Aβ and tau PET uptake. DISCUSSION This study supports use of plasma p-tau181 and GFAP to detect AD in CBS. NfL shows potential as a non-specific disease biomarker of CBS regardless of underlying pathology. HIGHLIGHTS Plasma phosphorylated tau (p-tau)181 and glial fibrillary acidic protein (GFAP) concentrations differentiate corticobasal syndrome (CBS) amyloid beta (Aβ)- from CBS Aβ+. Plasma neurofilament light concentrations are elevated in CBS Aβ- and Aβ+ compared to controls. Plasma p-tau181 and GFAP concentrations were associated with Aβ and tau positron emission tomography (PET) uptake. Aβ42/40 ratio showed a negative correlation with Aβ PET uptake.
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Affiliation(s)
| | - Alla Alnobani
- Department of Neuroscience, Mayo ClinicJacksonvilleFloridaUSA
| | | | - Mary M. Machulda
- Department of Psychiatry & Psychology, Mayo ClinicRochesterMinnesotaUSA
| | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest UniversityWinston‐SalemNorth CarolinaUSA
| | | | | | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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12
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Bolsewig K, van Unnik AAJM, Blujdea ER, Gonzalez MC, Ashton NJ, Aarsland D, Zetterberg H, Padovani A, Bonanni L, Mollenhauer B, Schade S, Vandenberghe R, Poesen K, Kramberger MG, Paquet C, Bousiges O, Cretin B, Willemse EAJ, Teunissen CE, Lemstra AW. Association of Plasma Amyloid, P-Tau, GFAP, and NfL With CSF, Clinical, and Cognitive Features in Patients With Dementia With Lewy Bodies. Neurology 2024; 102:e209418. [PMID: 38830138 PMCID: PMC11244745 DOI: 10.1212/wnl.0000000000209418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma β-amyloid-1-42/1-40 (Aβ42/40), phosphorylated-tau (P-tau), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) have been widely examined in Alzheimer disease (AD), but little is known about their reflection of copathologies, clinical importance, and predictive value in dementia with Lewy bodies (DLB). We aimed to evaluate associations of these biomarkers with CSF amyloid, cognition, and core features in DLB. METHODS This cross-sectional multicenter cohort study with prospective component included individuals with DLB, AD, and healthy controls (HCs), recruited from 2002 to 2020 with an annual follow-up of up to 5 years, from the European-Dementia With Lewy Bodies consortium. Plasma biomarkers were measured by single-molecule array (Neurology 4-Plex E kit). Amyloid status was determined by CSF Aβ42 concentrations, and cognition was assessed by Mini-Mental State Examination (MMSE). Biomarker differences across groups, associations with amyloid status, and clinical core features were assessed by analysis of covariance. Associations with cognitive impairment and decline were assessed by linear regression and linear mixed-effects models. RESULTS In our cohort consisting of 562 individuals (HC n = 89, DLB n = 342, AD n = 131; 250 women [44.5%], mean [SD] age of 71 [8] years), sex distribution did not differ between groups. Patients with DLB were significantly older, and had less years of education and worse baseline cognition than HC, but not AD. DLB participants stratified for amyloid status differed significantly in plasma Aβ42/40 ratio (decreased in amyloid abnormal: β = -0.008, 95% CI -0.016 to -0.0003, p = 0.01) and P-tau (increased in amyloid abnormal, P-tau181: β = 0.246, 95% CI 0.011-0.481; P-tau231: β = 0.227, 95% CI 0.035-0.419, both p < 0.05), but not in GFAP (β = 0.068, 95% CI -0.018 to 0.153, p = 0.119), and NfL (β = 0.004, 95% CI -0.087 to 0.096, p = 0.923) concentrations. Higher baseline GFAP, NfL, and P-tau concentrations were associated with lower MMSE scores in DLB, and GFAP and NfL were associated with a faster cognitive decline (GFAP: annual change of -2.11 MMSE points, 95% CI -2.88 to -1.35 MMSE points, p < 0.001; NfL: annual change of -2.13 MMSE points, 95% CI -2.97 to -1.29 MMSE points, p < 0.001). DLB participants with parkinsonism had higher concentrations of NfL (β = 0.08, 95% CI 0.02-0.14, p = 0.006) than those without. DISCUSSION Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB.
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Affiliation(s)
- Katharina Bolsewig
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Annemartijn A J M van Unnik
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Elena R Blujdea
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Maria C Gonzalez
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Nicholas J Ashton
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Dag Aarsland
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Henrik Zetterberg
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Alessandro Padovani
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Laura Bonanni
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Brit Mollenhauer
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Sebastian Schade
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Rik Vandenberghe
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Koen Poesen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Milica G Kramberger
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Claire Paquet
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Olivier Bousiges
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Benjamin Cretin
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Eline A J Willemse
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Charlotte E Teunissen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Afina W Lemstra
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
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13
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Zeng X, Lafferty TK, Sehrawat A, Chen Y, Ferreira PCL, Bellaver B, Povala G, Kamboh MI, Klunk WE, Cohen AD, Lopez OL, Ikonomovic MD, Pascoal TA, Ganguli M, Villemagne VL, Snitz BE, Karikari TK. Multi-analyte proteomic analysis identifies blood-based neuroinflammation, cerebrovascular and synaptic biomarkers in preclinical Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.15.24308975. [PMID: 38947065 PMCID: PMC11213097 DOI: 10.1101/2024.06.15.24308975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Blood-based biomarkers are gaining grounds for Alzheimer's disease (AD) detection. However, two key obstacles need to be addressed: the lack of methods for multi-analyte assessments and the need for markers of neuroinflammation, vascular, and synaptic dysfunction. Here, we evaluated a novel multi-analyte biomarker platform, NULISAseq CNS disease panel, a multiplex NUcleic acid-linked Immuno-Sandwich Assay (NULISA) targeting ~120 analytes, including classical AD biomarkers and key proteins defining various disease hallmarks. Methods The NULISAseq panel was applied to 176 plasma samples from the MYHAT-NI cohort of cognitively normal participants from an economically underserved region in Western Pennsylvania. Classical AD biomarkers, including p-tau181 p-tau217, p-tau231, GFAP, NEFL, Aβ40, and Aβ42, were also measured using Single Molecule Array (Simoa). Amyloid pathology, tau pathology, and neurodegeneration were evaluated with [11C] PiB PET, [18F]AV-1451 PET, and MRI, respectively. Linear mixed models were used to examine cross-sectional and Wilcoxon rank sum tests for longitudinal associations between NULISA biomarkers and AD pathologies. Spearman correlations were used to compare NULISA and Simoa. Results NULISA concurrently measured 116 plasma biomarkers with good technical performance, and good correlation with Simoa measures. Cross-sectionally, p-tau217 was the top hit to identify Aβ pathology, with age, sex, and APOE genotype-adjusted AUC of 0.930 (95%CI: 0.878-0.983). Fourteen markers were significantly decreased in Aβ-PET+ participants, including TIMP3, which regulates brain Aβ production, the neurotrophic factor BDNF, the energy metabolism marker MDH1, and several cytokines. Longitudinally, FGF2, IL4, and IL9 exhibited Aβ PET-dependent yearly increases in Aβ-PET+ participants. Markers with tau PET-dependent longitudinal changes included the microglial activation marker CHIT1, the reactive astrogliosis marker CHI3L1, the synaptic protein NPTX1, and the cerebrovascular markers PGF, PDGFRB, and VEFGA; all previously linked to AD but only reliably measured in cerebrospinal fluid. SQSTM1, the autophagosome cargo protein, exhibited a significant association with neurodegeneration status after adjusting age, sex, and APOE ε4 genotype. Conclusions Together, our results demonstrate the feasibility and potential of immunoassay-based multiplexing to provide a comprehensive view of AD-associated proteomic changes. Further validation of the identified inflammation, synaptic, and vascular markers will be important for establishing disease state markers in asymptomatic AD.
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Affiliation(s)
- Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Tara K. Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Pamela C. L. Ferreira
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Bruna Bellaver
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Guilherme Povala
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - M. Ilyas Kamboh
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - William E. Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Ann D. Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Oscar L. Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Milos D. Ikonomovic
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Tharick A. Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Mary Ganguli
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Victor L. Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Beth E. Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Thomas K. Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
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14
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Lohman T, Kapoor A, Engstrom AC, Shenasa F, Alitin JPM, Gaubert A, Rodgers KE, Bradford D, Mather M, Han SD, Head E, Sordo L, Thayer JF, Nation DA. Central autonomic network dysfunction and plasma Alzheimer's disease biomarkers in older adults. Alzheimers Res Ther 2024; 16:124. [PMID: 38851772 PMCID: PMC11162037 DOI: 10.1186/s13195-024-01486-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/24/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Higher order regulation of autonomic function is maintained by the coordinated activity of specific cortical and subcortical brain regions, collectively referred to as the central autonomic network (CAN). Autonomic changes are frequently observed in Alzheimer's disease (AD) and dementia, but no studies to date have investigated whether plasma AD biomarkers are associated with CAN functional connectivity changes in at risk older adults. METHODS Independently living older adults (N = 122) without major neurological or psychiatric disorder were recruited from the community. Participants underwent resting-state brain fMRI and a CAN network derived from a voxel-based meta-analysis was applied for overall, sympathetic, and parasympathetic CAN connectivity using the CONN Functional Toolbox. Sensorimotor network connectivity was studied as a negative control. Plasma levels of amyloid (Aβ42, Aβ40), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were assessed using digital immunoassay. The relationship between plasma AD biomarkers and within-network functional connectivity was studied using multiple linear regression adjusted for demographic covariates and Apolipoprotein E (APOE) genotype. Interactive effects with APOE4 carrier status were also assessed. RESULTS All autonomic networks were positively associated with Aβ42/40 ratio and remained so after adjustment for age, sex, and APOE4 carrier status. Overall and parasympathetic networks were negatively associated with GFAP. The relationship between the parasympathetic CAN and GFAP was moderated by APOE4 carrier status, wherein APOE4 carriers with low parasympathetic CAN connectivity displayed the highest plasma GFAP concentrations (B = 910.00, P = .004). Sensorimotor connectivity was not associated with any plasma AD biomarkers, as expected. CONCLUSION The present study findings suggest that CAN function is associated with plasma AD biomarker levels. Specifically, lower CAN functional connectivity is associated with decreased plasma Aβ42/40, indicative of cerebral amyloidosis, and increased plasma GFAP in APOE4 carriers at risk for AD. These findings could suggest higher order autonomic and parasympathetic dysfunction in very early-stage AD, which may have clinical implications.
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Affiliation(s)
- Trevor Lohman
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - Arunima Kapoor
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Allison C Engstrom
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Fatemah Shenasa
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - John Paul M Alitin
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - Aimee Gaubert
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - Kathleen E Rodgers
- Center for Innovations in Brain Science, Department of Pharmacology, University of Arizona, Tucson, AZ, USA
| | - David Bradford
- Center for Innovations in Brain Science, Department of Pharmacology, University of Arizona, Tucson, AZ, USA
| | - Mara Mather
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA
| | - S Duke Han
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Head
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
| | - Lorena Sordo
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, USA
| | - Julian F Thayer
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Daniel A Nation
- University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA, USA.
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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15
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Brown C, Das S, Xie L, Nasrallah I, Detre J, Chen‐Plotkin A, Shaw L, McMillan C, Yushkevich P, Wolk D. Medial temporal lobe gray matter microstructure in preclinical Alzheimer's disease. Alzheimers Dement 2024; 20:4147-4158. [PMID: 38747539 PMCID: PMC11180947 DOI: 10.1002/alz.13832] [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: 11/21/2023] [Revised: 02/21/2024] [Accepted: 03/18/2024] [Indexed: 05/28/2024]
Abstract
INTRODUCTION Typical MRI measures of neurodegeneration have limited sensitivity in early disease stages. Diffusion MRI (dMRI) microstructural measures may allow for detection in preclinical stages. METHODS Participants had dMRI and either beta-amyloid PET or plasma biomarkers of Alzheimer's pathology within 18 months of MRI. Microstructure was measured in portions of the medial temporal lobe (MTL) with high neurofibrillary tangle (NFT) burden based on a previously developed post mortem 3D-map. Regressions examined relationships between microstructure and markers of Alzheimer's pathology in preclinical disease and then across disease stages. RESULTS There was higher isometric volume fraction in amyloid-positive compared to amyloid-negative cognitively unimpaired individuals in high tangle MTL regions. Similarly, plasma biomarkers and 18F-flortaucipir were associated with microstructural changes in preclinical disease. Additional microstructural effects were seen across disease stages. DISCUSSION Combining a post mortem atlas of NFT pathology with microstructural measures allows for detection of neurodegeneration in preclinical Alzheimer's disease. Highlights Typical markers of neurodegeneration are not sensitive in preclinical Alzheimer's. dMRI measured microstructure in regions with high NFT. Microstructural changes occur in medial temporal regions in preclinical disease. Microstructural changes occur in other typical Alzheimer's regions in later stages. Combining post mortem pathology atlases with in vivo MRI is a powerful framework.
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Affiliation(s)
- Christopher Brown
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Sandhitsu Das
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Long Xie
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Siemens HealthineersDigital Technology and InnovationPrincetonNew JerseyUSA
| | - Ilya Nasrallah
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - John Detre
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Alice Chen‐Plotkin
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Leslie Shaw
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Corey McMillan
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Paul Yushkevich
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David Wolk
- Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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16
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Wagemann O, Liu H, Wang G, Shi X, Bittner T, Scelsi MA, Farlow MR, Clifford DB, Supnet-Bell C, Santacruz AM, Aschenbrenner AJ, Hassenstab JJ, Benzinger TLS, Gordon BA, Coalier KA, Cruchaga C, Ibanez L, Perrin RJ, Xiong C, Li Y, Morris JC, Lah JJ, Berman SB, Roberson ED, van Dyck CH, Galasko D, Gauthier S, Hsiung GYR, Brooks WS, Pariente J, Mummery CJ, Day GS, Ringman JM, Mendez PC, St. George-Hyslop P, Fox NC, Suzuki K, Okhravi HR, Chhatwal J, Levin J, Jucker M, Sims JR, Holdridge KC, Proctor NK, Yaari R, Andersen SW, Mancini M, Llibre-Guerra J, Bateman RJ, McDade E. Downstream Biomarker Effects of Gantenerumab or Solanezumab in Dominantly Inherited Alzheimer Disease: The DIAN-TU-001 Randomized Clinical Trial. JAMA Neurol 2024; 81:582-593. [PMID: 38683602 PMCID: PMC11059071 DOI: 10.1001/jamaneurol.2024.0991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/01/2024] [Indexed: 05/01/2024]
Abstract
Importance Effects of antiamyloid agents, targeting either fibrillar or soluble monomeric amyloid peptides, on downstream biomarkers in cerebrospinal fluid (CSF) and plasma are largely unknown in dominantly inherited Alzheimer disease (DIAD). Objective To investigate longitudinal biomarker changes of synaptic dysfunction, neuroinflammation, and neurodegeneration in individuals with DIAD who are receiving antiamyloid treatment. Design, Setting, and Participants From 2012 to 2019, the Dominantly Inherited Alzheimer Network Trial Unit (DIAN-TU-001) study, a double-blind, placebo-controlled, randomized clinical trial, investigated gantenerumab and solanezumab in DIAD. Carriers of gene variants were assigned 3:1 to either drug or placebo. The present analysis was conducted from April to June 2023. DIAN-TU-001 spans 25 study sites in 7 countries. Biofluids and neuroimaging from carriers of DIAD gene variants in the gantenerumab, solanezumab, and placebo groups were analyzed. Interventions In 2016, initial dosing of gantenerumab, 225 mg (subcutaneously every 4 weeks) was increased every 8 weeks up to 1200 mg. In 2017, initial dosing of solanezumab, 400 mg (intravenously every 4 weeks) was increased up to 1600 mg every 4 weeks. Main Outcomes and Measures Longitudinal changes in CSF levels of neurogranin, soluble triggering receptor expressed on myeloid cells 2 (sTREM2), chitinase 3-like 1 protein (YKL-40), glial fibrillary acidic protein (GFAP), neurofilament light protein (NfL), and plasma levels of GFAP and NfL. Results Of 236 eligible participants screened, 43 were excluded. A total of 142 participants (mean [SD] age, 44 [10] years; 72 female [51%]) were included in the study (gantenerumab, 52 [37%]; solanezumab, 50 [35%]; placebo, 40 [28%]). Relative to placebo, gantenerumab significantly reduced CSF neurogranin level at year 4 (mean [SD] β = -242.43 [48.04] pg/mL; P < .001); reduced plasma GFAP level at year 1 (mean [SD] β = -0.02 [0.01] ng/mL; P = .02), year 2 (mean [SD] β = -0.03 [0.01] ng/mL; P = .002), and year 4 (mean [SD] β = -0.06 [0.02] ng/mL; P < .001); and increased CSF sTREM2 level at year 2 (mean [SD] β = 1.12 [0.43] ng/mL; P = .01) and year 4 (mean [SD] β = 1.06 [0.52] ng/mL; P = .04). Solanezumab significantly increased CSF NfL (log) at year 4 (mean [SD] β = 0.14 [0.06]; P = .02). Correlation analysis for rates of change found stronger correlations between CSF markers and fluid markers with Pittsburgh compound B positron emission tomography for solanezumab and placebo. Conclusions and Relevance This randomized clinical trial supports the importance of fibrillar amyloid reduction in multiple AD-related processes of neuroinflammation and neurodegeneration in CSF and plasma in DIAD. Additional studies of antiaggregated amyloid therapies in sporadic AD and DIAD are needed to determine the utility of nonamyloid biomarkers in determining disease modification. Trial Registration ClinicalTrials.gov Identifier: NCT04623242.
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Affiliation(s)
- Olivia Wagemann
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Haiyan Liu
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Guoqiao Wang
- Department of Biostatistics, Washington University in St Louis, St Louis, Missouri
| | - Xinyu Shi
- Department of Biostatistics, Washington University in St Louis, St Louis, Missouri
| | | | - Marzia A. Scelsi
- F. Hoffmann-La Roche Products Ltd, Welwyn Garden City, United Kingdom
| | - Martin R. Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis
| | - David B. Clifford
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Charlene Supnet-Bell
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Anna M. Santacruz
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | | | - Jason J. Hassenstab
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | | | - Brian A. Gordon
- Department of Radiology, Washington University in St Louis, St Louis, Missouri
| | | | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St Louis, St Louis, Missouri
| | - Laura Ibanez
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
- Department of Psychiatry, Washington University in St Louis, St Louis, Missouri
| | - Richard J. Perrin
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
- Department of Pathology and Immunology, Washington University in St Louis, St Louis, Missouri
| | - Chengjie Xiong
- Department of Biostatistics, Washington University in St Louis, St Louis, Missouri
| | - Yan Li
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - James J. Lah
- Department of Neurology, School of Medicine Emory University, Atlanta, Georgia
| | - Sarah B. Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Erik D. Roberson
- Department of Neurology, University of Alabama at Birmingham, Birmingham
| | | | - Douglas Galasko
- Department of Neurology, University of California, San Diego
| | - Serge Gauthier
- Department of Neurology & Psychiatry, McGill University, Montréal, Québec, Canada
| | - Ging-Yuek R. Hsiung
- Department of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | - William S. Brooks
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Clinical Medicine, University of New South Wales, Randwick, New South Wales, Australia
| | - Jérémie Pariente
- Department of Neurology, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Catherine J. Mummery
- Dementia Research Centre, Institute of Neurology, University College London, London, United Kingdom
| | - Gregory S. Day
- Department of Neurology, Mayo Clinic Florida, Jacksonville
| | - John M. Ringman
- Department of Neurology, University of Southern California, Los Angeles
| | - Patricio Chrem Mendez
- Fundación Para la Lucha Contra las Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina
| | | | - Nick C. Fox
- Dementia Research Centre, Institute of Neurology, University College London, London, United Kingdom
| | | | - Hamid R. Okhravi
- Department of Geriatrics, Eastern Virginia Medical School, Norfolk
| | - Jasmeer Chhatwal
- Department of Neurology, Massachusetts General and Brigham & Women’s Hospitals, Harvard Medical School, Boston
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | | | | | | | - Roy Yaari
- Eli Lilly and Company, Indianapolis, Indiana
| | | | | | - Jorge Llibre-Guerra
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, St Louis, Missouri
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Ohara T, Tatebe H, Hata J, Honda T, Shibata M, Matsuura S, Mikami T, Maeda T, Ono K, Mimura M, Nakashima K, Iga JI, Takebayashi M, Tokuda T, Ninomiya T. Plasma biomarkers for predicting the development of dementia in a community-dwelling older Japanese population. Psychiatry Clin Neurosci 2024; 78:362-371. [PMID: 38606661 DOI: 10.1111/pcn.13661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 02/04/2024] [Accepted: 02/25/2024] [Indexed: 04/13/2024]
Abstract
AIM To assess the association between plasma amyloid β (Aβ) 42/40, phosphorylated tau (p-τ)181, glial fibrillary acidic protein (GFAP), or neurofilament light chain (NfL) and the risk of dementia and to determine whether these plasma biomarkers could improve the ability to predict incident dementia in a general older population. METHODS A total of 1346 Japanese community-dwelling individuals aged ≥65 years without dementia were followed prospectively for 5.0 years. Plasma biomarkers were quantified using a Simoa HD-X analyzer. A Cox proportional hazards model was used to estimate the hazard ratios of each plasma biomarker level for the risk of dementia. RESULTS During the follow-up, 151 participants developed dementia, of whom 108 had Alzheimer disease (AD) and 43 non-Alzheimer dementia (non-AD). Lower plasma Aβ42/40 levels and higher plasma p-τ181 levels were significantly associated with developing AD but not non-AD, whereas significant associations were observed between higher plasma levels of GFAP and NfL and risk of both AD and non-AD (all P for trend <0.05). In addition, adding these four plasma biomarkers into a model consisting of the total score of the dementia risk model significantly improved the predictive ability for incident dementia. CONCLUSION Our findings suggest that plasma Aβ42/40 and p-τ181 are specific markers of AD, and plasma GFAP and NfL are potential biomarkers for all-cause dementia in the general Japanese older population. In addition, the measurement of these plasma biomarkers may be a useful and relatively low-invasive procedure for identifying individuals at high risk for developing dementia in clinical practice.
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Grants
- JP21H03200 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP21K07522 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP21K10448 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP21K11725 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP22K07421 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP22K17396 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP23K06787 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP23K09060 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP23K09692 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP23K09717 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP23K16330 Ministry of Education, Culture, Sports, Science and Technology of Japan
- JP21dk0207055 Japan Agency for Medical Research and Development
- JP22dk0207053 Japan Agency for Medical Research and Development
- JP23km0405209 Japan Agency for Medical Research and Development
- JPMH23FA1006 Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan
- JPMH23FA1022 Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan
- JPMJPF2210 JST Grant
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Affiliation(s)
- Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Harutsugu Tatebe
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- National Institutes for Quantum Science and Technology, Chiba, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanori Honda
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sayo Matsuura
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan
| | - Tatsuya Mikami
- Department of Preemptive Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Shimane, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Minoru Takebayashi
- Faculty of Life Sciences, Department of Neuropsychiatry, Kumamoto University, Kumamoto, Japan
| | - Takahiko Tokuda
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, Chiba, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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18
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Cousins KAQ, Phillips JS, Das SR, O'Brien K, Tropea TF, Chen‐Plotkin A, Shaw LM, Nasrallah IM, Mechanic‐Hamilton D, McMillan CT, Irwin DJ, Lee EB, Wolk DA. Pathologic and cognitive correlates of plasma biomarkers in neurodegenerative disease. Alzheimers Dement 2024; 20:3889-3905. [PMID: 38644682 PMCID: PMC11180939 DOI: 10.1002/alz.13777] [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: 11/17/2023] [Revised: 02/06/2024] [Accepted: 02/07/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION We investigate pathological correlates of plasma phosphorylated tau 181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) across a clinically diverse spectrum of neurodegenerative disease, including normal cognition (NormCog) and impaired cognition (ImpCog). METHODS Participants were NormCog (n = 132) and ImpCog (n = 461), with confirmed β-amyloid (Aβ+/-) status (cerebrospinal fluid, positron emission tomography, autopsy) and single molecule array plasma measurements. Logistic regression and receiver operating characteristic (ROC) area under the curve (AUC) tested how combining plasma analytes discriminated Aβ+ from Aβ-. Survival analyses tested time to clinical dementia rating (global CDR) progression. RESULTS Multivariable models (p-tau+GFAP+NfL) had the best performance to detect Aβ+ in NormCog (ROCAUC = 0.87) and ImpCog (ROCAUC = 0.87). Survival analyses demonstrated that higher NfL best predicted faster CDR progression for both Aβ+ (hazard ratio [HR] = 2.94; p = 8.1e-06) and Aβ- individuals (HR = 3.11; p = 2.6e-09). DISCUSSION Combining plasma biomarkers can optimize detection of Alzheimer's disease (AD) pathology across cognitively normal and clinically diverse neurodegenerative disease. HIGHLIGHTS Participants were clinically heterogeneous, with autopsy- or biomarker-confirmed Aβ. Combining plasma p-tau181, GFAP, and NfL improved diagnostic accuracy for Aβ status. Diagnosis by plasma biomarkers is more accurate in amnestic AD than nonamnestic AD. Plasma analytes show independent associations with tau PET and post mortem Aβ/tau. Plasma NfL predicted longitudinal cognitive decline in both Aβ+ and Aβ- individuals.
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Affiliation(s)
- Katheryn A. Q. Cousins
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jeffrey S. Phillips
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Sandhitsu R. Das
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Kyra O'Brien
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas F. Tropea
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Alice Chen‐Plotkin
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Leslie M. Shaw
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ilya M. Nasrallah
- Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Dawn Mechanic‐Hamilton
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Corey T. McMillan
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David J. Irwin
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Edward B. Lee
- Department of Pathology and Laboratory MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David A. Wolk
- Department of NeurologyPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Karlsson L, Vogel J, Arvidsson I, Åström K, Strandberg O, Seidlitz J, Bethlehem RAI, Stomrud E, Ossenkoppele R, Ashton NJ, Zetterberg H, Blennow K, Palmqvist S, Smith R, Janelidze S, La Joie R, Rabinovici GD, Binette AP, Mattsson-Carlgren N, Hansson O. A machine learning-based prediction of tau load and distribution in Alzheimer's disease using plasma, MRI and clinical variables. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.31.24308264. [PMID: 38853877 PMCID: PMC11160861 DOI: 10.1101/2024.05.31.24308264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Tau positron emission tomography (PET) is a reliable neuroimaging technique for assessing regional load of tau pathology in the brain, commonly used in Alzheimer's disease (AD) research and clinical trials. However, its routine clinical use is limited by cost and accessibility barriers. Here we explore using machine learning (ML) models to predict clinically useful tau-PET outcomes from low-cost and non-invasive features, e.g., basic clinical variables, plasma biomarkers, and structural magnetic resonance imaging (MRI). Results demonstrated that models including plasma biomarkers yielded highly accurate predictions of tau-PET burden (best model: R-squared=0.66-0.68), with especially high contribution from plasma P-tau217. In contrast, MRI variables stood out as best predictors (best model: R-squared=0.28-0.42) of asymmetric tau load between the two hemispheres (an example of clinically relevant spatial information). The models showed high generalizability to external test cohorts with data collected at multiple sites. Based on these results, we also propose a proof-of-concept two-step classification workflow, demonstrating how the ML models can be translated to a clinical setting. This study reveals current potential in predicting tau-PET information from scalable cost-effective variables, which could improve diagnosis and prognosis of AD.
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Affiliation(s)
- Linda Karlsson
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Jacob Vogel
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Department of Clinical Sciences, SciLifeLab, Lund University, Lund, Sweden
| | - Ida Arvidsson
- Centre for Mathematical Sciences, Lund University, Lund, Sweden
| | - Kalle Åström
- Centre for Mathematical Sciences, Lund University, Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Jakob Seidlitz
- Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, 19104 USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104 USA
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Richard A. I. Bethlehem
- University of Cambridge, Department of Psychology, Cambridge Biomedical Campus, Cambridge, CB2 3EB, UK
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience, King’s College London, London, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P.R. China
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D. Rabinovici
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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20
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Arslan B, Zetterberg H, Ashton NJ. Blood-based biomarkers in Alzheimer's disease - moving towards a new era of diagnostics. Clin Chem Lab Med 2024; 62:1063-1069. [PMID: 38253262 DOI: 10.1515/cclm-2023-1434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Alzheimer's disease (AD), a primary cause of dementia globally, is traditionally diagnosed via cerebrospinal fluid (CSF) measures and positron emission tomography (PET). The invasiveness, cost, and limited accessibility of these methods have led to exploring blood-based biomarkers as a promising alternative for AD diagnosis and monitoring. Recent advancements in sensitive immunoassays have identified potential blood-based biomarkers, such as Aβ42/Aβ40 ratios and phosphorylated tau (p-tau) species. This paper briefly evaluates the clinical utility and reliability of these biomarkers across various AD stages, highlighting challenges like refining plasma Aβ42/Aβ40 assays and enhancing the precision of p-tau, particularly p-tau181, p-tau217, and p-tau231. The discussion also covers other plasma biomarkers like neurofilament light (NfL), glial fibrillary acidic protein (GFAP), and synaptic biomarkers, assessing their significance in AD diagnostics. The need for ongoing research and development of robust assays to match the performance of CSF and PET biomarkers is underscored. In summary, blood-based biomarkers are increasingly crucial in AD diagnosis, follow-up, prognostication, treatment response evaluation, and population screening, particularly in primary care settings. These developments are set to revolutionize AD diagnostics, offering earlier and more accessible detection and management options.
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Affiliation(s)
- Burak Arslan
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, P.R. China
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Old Age Psychiatry, Psychology & Neuroscience, King's College London, Institute of Psychiatry, London, UK
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley, NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
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21
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Mandelblatt J, Dage JL, Zhou X, Small BJ, Ahles TA, Ahn J, Artese A, Bethea TN, Breen EC, Carroll JE, Cohen HJ, Extermann M, Graham D, Isaacs C, Jim HSL, Mcdonald BC, Nakamura ZM, Patel SK, Rebeck GW, Rentscher KE, Root JC, Russ KA, Tometich DB, Turner RS, Van Dyk K, Zhai W, Huang LW, Saykin AJ. Alzheimer's disease-related biomarkers and cancer-related cognitive decline: the thinking and living with cancer study. J Natl Cancer Inst 2024:djae113. [PMID: 38788675 DOI: 10.1093/jnci/djae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/22/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
PURPOSE We evaluated whether plasma Alzheimer's Disease (AD)-related biomarkers were associated with cancer-related cognitive decline (CRCD) among older breast cancer survivors. METHODS We included survivors 60-90 years with primary stage 0-III breast cancers (n = 236) and frequency-matched non-cancer controls (n = 154) who passed a cognitive screen and had banked plasma specimens. Participants were assessed at baseline (pre-systemic therapy) and annually for up to 60-months. Cognition was measured using tests of attention, processing speed and executive function (APE) and learning and memory (LM); perceived cognition was measured by the FACT-Cog PCI. Baseline plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), beta-amyloid 42/40 (Aβ42/40) and phosphorylated tau (p-tau181) were assayed using single molecule arrays. Mixed models tested associations between cognition and baseline AD-biomarkers, time, group (survivor vs control) and their two- and three-way interactions, controlling for age, race, WRAT4 Word Reading score, comorbidity and BMI; two-sided 0.05 p-values were considered statistically significant. RESULTS There were no group differences in baseline AD-related biomarkers except survivors had higher baseline NfL levels than controls (p = .013). Survivors had lower adjusted longitudinal APE than controls starting from baseline and continuing over time (p = <0.002). However, baseline AD-related biomarker levels were not independently associated with adjusted cognition over time, except controls had lower APE scores with higher GFAP levels (p = .008). CONCLUSION The results do not support a relationship between baseline AD-related biomarkers and CRCD. Further investigation is warranted to confirm the findings, test effects of longitudinal changes in AD-related biomarkers and examine other mechanisms and factors affecting cognition pre-systemic therapy.
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Affiliation(s)
- Jeanne Mandelblatt
- Georgetown Lombardi Institute for Cancer and Aging Research, Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Jeffrey L Dage
- Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Brent J Small
- School of Aging Studies, University of South Florida, and Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Ashley Artese
- Department of Exercise Science and Health Promotion, Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA
| | - Traci N Bethea
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Elizabeth C Breen
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Judith E Carroll
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Harvey J Cohen
- Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Martine Extermann
- Senior Adult Oncology Program, Department of Oncology, Moffitt Cancer Center, University of South Florida, Tampa, FL, USA
| | - Deena Graham
- John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brenna C Mcdonald
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Zev M Nakamura
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sunita K Patel
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - G William Rebeck
- Department of Neuroscience, Georgetown University, Washington, DC, USA
| | - Kelly E Rentscher
- Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kristen A Russ
- Department of Medical and Molecular Genetics and National Centralized Repository for Alzheimer's and Related Dementias, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Danielle B Tometich
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - R Scott Turner
- Department of Neurology, Georgetown University, Washington, DC, USA
| | - Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Washington, DC, USA
| | - Li-Wen Huang
- Division of Hematology/Oncology, University of California San Francisco and San Francisco Veterans Affairs Medical Center, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Melvin and Bren Simon Comprehensive Cancer Center, and Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
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22
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Raffin J. Does Physical Exercise Modify the Pathophysiology of Alzheimer's Disease in Older Persons? JAR LIFE 2024; 13:77-81. [PMID: 38803456 PMCID: PMC11129780 DOI: 10.14283/jarlife.2024.11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 05/07/2024] [Indexed: 05/29/2024]
Abstract
Physical exercise is well known for its benefits on brain health. However, the mechanisms through which these benefits occur remain discussed, especially in the context of cognitive conditions such as Alzheimer's disease. The present short review summarizes the findings of interventional studies that examined the effects of exercise training on the specific and non-specific biomarkers of Alzheimer's disease. Controlled exercise intervention studies published in the English language were selected if they assessed the effects of a physical exercise intervention of at least 2 weeks in middle-aged or older adults on one of the following biomarkers measured either in the brain, the cerebrospinal fluid or the blood: beta-amyloid, tau, neurofilament light chain, and glial fibrillary acidic protein. Overall, there was no strong evidence of significant effects of exercise interventions on any of the selected biomarkers. However, in specific populations, such as women with obesity, pre-diabetes, or depression, favorable changes in blood beta-amyloid concentrations were reported. Further benefits on cerebrospinal fluid beta-amyloid were also demonstrated in APOE-ε4 allele carriers with Alzheimer's disease. In conclusion, the current evidence suggests that physical exercise does not modulate the pathophysiology of Alzheimer's disease in the overall population of middle-aged and older adults. Nonetheless, some specific populations, such as women with metabolic disorders and Alzheimer's disease patients with APOE-ε4 genotype, seem to be favorably affected. Further studies, including long follow-ups, large sample sizes, and concomitantly assessing the effects of other factors such as sedentary behavior and diet, are required to bring further evidence to the field.
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Affiliation(s)
- J. Raffin
- Institut Hospitalo-Universitaire (IHU) HealthAge, Toulouse, France
- Institut du Vieillissement, Gérontopôle de Toulouse, Centre Hospitalo-Universitaire de Toulouse, 37 allées Jules Guesde, 31000 Toulouse, France
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Lorenzini L, Zanella L, Sannia M, Baldassarro VA, Moretti M, Cescatti M, Quadalti C, Baldi S, Bartolucci G, Di Gloria L, Ramazzotti M, Clavenzani P, Costanzini A, De Giorgio R, Amedei A, Calzà L, Giardino L. Experimental colitis in young Tg2576 mice accelerates the onset of an Alzheimer's-like clinical phenotype. Alzheimers Res Ther 2024; 16:116. [PMID: 38773640 PMCID: PMC11110243 DOI: 10.1186/s13195-024-01471-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/01/2024] [Indexed: 05/24/2024]
Abstract
Systemic inflammation and neuroinflammation affect the natural course of the sporadic form of Alzheimer's disease (AD), as supported by epidemiological and preclinical data, and several epidemiological studies indicate a higher prevalence of AD in patients with inflammatory bowel disease. In this study, we explored whether colitis induced by dextran sulfate sodium (DSS) in young, presymptomatic/preplaque mice worsens and/or anticipates age-dependent cognitive impairment in Tg2576, a widely used mouse model of AD. We demonstrated that DSS colitis induced in young Tg2576 mice anticipates the onset age of learning and memory deficit in the Morris water maze test. To explore potential mechanisms behind the acceleration of cognitive decline in Tg2576 mice by DSS colitis, we focused on gut microbiota, systemic inflammation and neuroinflammation markers. We observed a Firmicutes/Bacteroidetes ratio change in Tg2576 DSS animals comparable to that of elderly Tg2576 mice, suggesting accelerated microbiota aging in Tg2576 DSS mice, a change not observed in C57BL6 DSS mice. We also observed substantial differences between Tg2576 and WT mice in several inflammation and neuroinflammation-related parameters as early as 3 months of age, well before plaque deposition, a picture which evolved rapidly (between 3 and 5.5 months of age) in contrast to Tg2576 and WT littermates not treated with DSS. In detail, following induction of DSS colitis, WT and Tg2576 mice exhibited contrasting features in the expression level of inflammation-evoked astrocyte-associated genes in the hippocampus. No changes in microglial features occurred in the hippocampus between the experimental groups, whereas a reduced glial fibrillary acidic protein immunoreactivity was observed in Tg2576 vs. WT mice. This finding may reflect an atrophic, "loss-of-function" profile, further exacerbated by DSS where a decreased of GFAP mRNA expression level was detected. In conclusion, we suggest that as-yet unidentified peripheral mediators evoked by DSS colitis and involving the gut-brain axis emphasize an astrocyte "loss-of-function" profile present in young Tg2576 mice, leading to impaired synaptic morphological and functional integrity as a very early sign of AD.
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Affiliation(s)
- Luca Lorenzini
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | - Lorenzo Zanella
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | | | | | - Marzia Moretti
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | | | - Corinne Quadalti
- Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via Tolara di Sopra 41/E, Bologna, 40064, Ozzano Emilia, Italy
| | - Simone Baldi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Gianluca Bartolucci
- Department of Neuroscience, Psychology, Drug Research and Child Health NEUROFARBA, University of Florence, Florence, Italy
| | - Leandro Di Gloria
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Matteo Ramazzotti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Paolo Clavenzani
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | - Anna Costanzini
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Roberto De Giorgio
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Amedeo Amedei
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Laura Calzà
- Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via Tolara di Sopra 41/E, Bologna, 40064, Ozzano Emilia, Italy.
| | - Luciana Giardino
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
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24
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Koivumäki M, Ekblad L, Lantero-Rodriguez J, Ashton NJ, Karikari TK, Helin S, Parkkola R, Lötjönen J, Zetterberg H, Blennow K, Rinne JO, Snellman A. Blood biomarkers of neurodegeneration associate differently with amyloid deposition, medial temporal atrophy, and cerebrovascular changes in APOE ε4-enriched cognitively unimpaired elderly. Alzheimers Res Ther 2024; 16:112. [PMID: 38762725 PMCID: PMC11102270 DOI: 10.1186/s13195-024-01477-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 05/06/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β (Aβ) plaques, neurofibrillary tau tangles, and neurodegeneration in the brain parenchyma. Here, we aimed to (i) assess differences in blood and imaging biomarkers used to evaluate neurodegeneration among cognitively unimpaired APOE ε4 homozygotes, heterozygotes, and non-carriers with varying risk for sporadic AD, and (ii) to determine how different cerebral pathologies (i.e., Aβ deposition, medial temporal atrophy, and cerebrovascular pathology) contribute to blood biomarker concentrations in this sample. METHODS Sixty APOE ε4 homozygotes (n = 19), heterozygotes (n = 21), and non-carriers (n = 20) ranging from 60 to 75 years, were recruited in collaboration with Auria biobank (Turku, Finland). Participants underwent Aβ-PET ([11C]PiB), structural brain MRI including T1-weighted and T2-FLAIR sequences, and blood sampling for measuring serum neurofilament light chain (NfL), plasma total tau (t-tau), plasma N-terminal tau fragments (NTA-tau) and plasma glial fibrillary acidic protein (GFAP). [11C]PiB standardized uptake value ratio was calculated for regions typical for Aβ accumulation in AD. MRI images were analysed for regional volumes, atrophy scores, and volumes of white matter hyperintensities. Differences in biomarker levels and associations between blood and imaging biomarkers were tested using uni- and multivariable linear models (unadjusted and adjusted for age and sex). RESULTS Serum NfL concentration was increased in APOE ε4 homozygotes compared with non-carriers (mean 21.4 pg/ml (SD 9.5) vs. 15.5 pg/ml (3.8), p = 0.013), whereas other blood biomarkers did not differ between the groups (p > 0.077 for all). From imaging biomarkers, hippocampal volume was significantly decreased in APOE ε4 homozygotes compared with non-carriers (6.71 ml (0.86) vs. 7.2 ml (0.7), p = 0.029). In the whole sample, blood biomarker levels were differently predicted by the three measured cerebral pathologies; serum NfL concentration was associated with cerebrovascular pathology and medial temporal atrophy, while plasma NTA-tau associated with medial temporal atrophy. Plasma GFAP showed significant association with both medial temporal atrophy and Aβ pathology. Plasma t-tau concentration did not associate with any of the measured pathologies. CONCLUSIONS Only increased serum NfL concentrations and decreased hippocampal volume was observed in cognitively unimpaired APOEε4 homozygotes compared to non-carriers. In the whole population the concentrations of blood biomarkers were affected in distinct ways by different pathologies.
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Affiliation(s)
- Mikko Koivumäki
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland.
| | - Laura Ekblad
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Geriatric Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Semi Helin
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juha O Rinne
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Anniina Snellman
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
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25
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Abukuri DN. Novel Biomarkers for Alzheimer's Disease: Plasma Neurofilament Light and Cerebrospinal Fluid. Int J Alzheimers Dis 2024; 2024:6668159. [PMID: 38779175 PMCID: PMC11111307 DOI: 10.1155/2024/6668159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 03/18/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Neurodegenerative disorders such as Alzheimer's disease (AD) represent an increasingly significant public health concern. As clinical diagnosis faces challenges, biomarkers are becoming increasingly important in research, trials, and patient assessments. While biomarkers like amyloid-β peptide, tau proteins, CSF levels (Aβ, tau, and p-tau), and neuroimaging techniques are commonly used in AD diagnosis, they are often limited and invasive in monitoring and diagnosis. For this reason, blood-based biomarkers are the optimal choice for detecting neurodegeneration in brain diseases due to their noninvasiveness, affordability, reliability, and consistency. This literature review focuses on plasma neurofilament light (NfL) and CSF NfL as blood-based biomarkers used in recent AD diagnosis. The findings revealed that the core CSF biomarkers of neurodegeneration (T-tau, P-tau, and Aβ42), CSF NFL, and plasma T-tau were strongly associated with Alzheimer's disease, and the core biomarkers were strongly associated with mild cognitive impairment due to Alzheimer's disease. Elevated levels of plasma and cerebrospinal fluid NfL were linked to decreased [18F]FDG uptake in corresponding brain areas. In participants with Aβ positivity (Aβ+), NfL correlated with reduced metabolism in regions susceptible to Alzheimer's disease. In addition, CSF NfL levels correlate with brain atrophy and predict cognitive changes, while plasma total tau does not. Plasma P-tau, especially in combination with Aβ42/Aβ40, is promising for symptomatic AD stages. Though not AD-exclusive, blood NfL holds promise for neurodegeneration detection and assessing treatment efficacy. Given the consistent levels of T-tau, P-tau, Aβ42, and NFL in CSF, their incorporation into both clinical practice and research is highly recommended.
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26
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Parrish RL, Buchman AS, Tasaki S, Wang Y, Avey D, Xu J, De Jager PL, Bennett DA, Epstein MP, Yang J. SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.06.20.23291605. [PMID: 37425698 PMCID: PMC10327185 DOI: 10.1101/2023.06.20.23291605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression methods could be used for training gene expression imputation models for TWAS. To leverage expression imputation models (i.e., base models) trained with multiple reference panels, regression methods, and tissues, we develop a Stacked Regression based TWAS (SR-TWAS) tool which can obtain optimal linear combinations of base models for a given validation transcriptomic dataset. Both simulation and real studies showed that SR-TWAS improved power, due to increased effective training sample sizes and borrowed strength across multiple regression methods and tissues. Leveraging base models across multiple reference panels, tissues, and regression methods, our real application studies identified 6 independent significant risk genes for Alzheimer's disease (AD) dementia for supplementary motor area tissue and 9 independent significant risk genes for Parkinson's disease (PD) for substantia nigra tissue. Relevant biological interpretations were found for these significant risk genes.
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27
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Wang X, Shi Z, Qiu Y, Sun D, Zhou H. Peripheral GFAP and NfL as early biomarkers for dementia: longitudinal insights from the UK Biobank. BMC Med 2024; 22:192. [PMID: 38735950 PMCID: PMC11089788 DOI: 10.1186/s12916-024-03418-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 05/01/2024] [Indexed: 05/14/2024] Open
Abstract
BACKGROUND Peripheral glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) are sensitive markers of neuroinflammation and neuronal damage. Previous studies with highly selected participants have shown that peripheral GFAP and NfL levels are elevated in the pre-clinical phase of Alzheimer's disease (AD) and dementia. However, the predictive value of GFAP and NfL for dementia requires more evidence from population-based cohorts. METHODS This was a prospective cohort study to evaluate UK Biobank participants enrolled from 2006 to 2010 using plasma GFAP and NfL measurements measured by Olink Target Platform and prospectively followed up for dementia diagnosis. Primary outcome was the risk of clinical diagnosed dementia. Secondary outcomes were cognition. Linear regression was used to assess the associations between peripheral GFAP and NfL with cognition. Cox proportional hazard models with cross-validations were used to estimate associations between elevated GFAP and NfL with risk of dementia. All models were adjusted for covariates. RESULTS A subsample of 48,542 participants in the UK Biobank with peripheral GFAP and NfL measurements were evaluated. With an average follow-up of 13.18 ± 2.42 years, 1312 new all-cause dementia cases were identified. Peripheral GFAP and NfL increased up to 15 years before dementia diagnosis was made. After strictly adjusting for confounders, increment in NfL was found to be associated with decreased numeric memory and prolonged reaction time. A greater annualized rate of change in GFAP was significantly associated with faster global cognitive decline. Elevation of GFAP (hazard ratio (HR) ranges from 2.25 to 3.15) and NfL (HR ranges from 1.98 to 4.23) increased the risk for several types of dementia. GFAP and NfL significantly improved the predictive values for dementia using previous models (area under the curve (AUC) ranges from 0.80 to 0.89, C-index ranges from 0.86 to 0.91). The AD genetic risk score and number of APOE*E4 alleles strongly correlated with GFAP and NfL levels. CONCLUSIONS These results suggest that peripheral GFAP and NfL are potential biomarkers for the early diagnosis of dementia. In addition, anti-inflammatory therapies in the initial stages of dementia may have potential benefits.
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Affiliation(s)
- Xiaofei Wang
- Department of Neurology, West China Hospital, Sichuan University, No.28 Dianxin Nan Street, Chengdu, 610041, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, No.28 Dianxin Nan Street, Chengdu, 610041, China
| | - Yuhan Qiu
- Department of Neurology, West China Hospital, Sichuan University, No.28 Dianxin Nan Street, Chengdu, 610041, China
| | - Dongren Sun
- Department of Neurology, West China Hospital, Sichuan University, No.28 Dianxin Nan Street, Chengdu, 610041, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, No.28 Dianxin Nan Street, Chengdu, 610041, China.
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28
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Altomare D, Libri I, Alberici A, Rivolta J, Padovani A, Ashton NJ, Zetterberg H, Blennow K, Borroni B. Plasma biomarkers increase diagnostic confidence in patients with Alzheimer's disease or frontotemporal lobar degeneration. Alzheimers Res Ther 2024; 16:107. [PMID: 38734612 PMCID: PMC11088144 DOI: 10.1186/s13195-024-01474-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND The recent development of techniques to assess plasma biomarkers has changed the way the research community envisions the future of diagnosis and management of Alzheimer's disease (AD) and other neurodegenerative disorders. This work aims to provide real world evidence on the clinical impact of plasma biomarkers in an academic tertiary care center. METHODS Anonymized clinical reports of patients diagnosed with AD or Frontotemporal Lobar Degeneration with available plasma biomarkers (Aβ42, Aβ42/Aβ40, p-tau181, p-tau231, NfL, GFAP) were independently assessed by two neurologists who expressed diagnosis and diagnostic confidence three times: (T0) at baseline based on the information collected during the first visit, (T1) after plasma biomarkers, and (T2) after traditional biomarkers (when available). Finally, we assessed whether clinicians' interpretation of plasma biomarkers and the consequent clinical impact are consistent with the final diagnosis, determined after the conclusion of the diagnostic clinical and instrumental work-up by the actual managing physicians who had complete access to all available information. RESULTS Clinicians assessed 122 reports, and their concordance ranged from 81 to 91% at the three time points. At T1, the presentation of plasma biomarkers resulted in a change of diagnosis in 2% (2/122, p = 1.00) of cases, and in increased diagnostic confidence in 76% (91/120, p < 0.001) of cases with confirmed diagnosis. The change in diagnosis and the increase in diagnostic confidence after plasma biomarkers were consistent with the final diagnosis in 100% (2/2) and 81% (74/91) of cases, respectively. At T2, the presentation of traditional biomarkers resulted in a further change of diagnosis in 13% (12/94, p = 0.149) of cases, and in increased diagnostic confidence in 88% (72/82, p < 0.001) of cases with confirmed diagnosis. CONCLUSIONS In an academic tertiary care center, plasma biomarkers supported clinicians by increasing their diagnostic confidence in most cases, despite a negligible impact on diagnosis. Future prospective studies are needed to assess the full potential of plasma biomarkers on clinical grounds.
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Affiliation(s)
- Daniele Altomare
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Ilenia Libri
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Antonella Alberici
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Jasmine Rivolta
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute, UCL, London, W1T 7NF, UK
- Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
- Department of Continuity of Care and Frailty, Azienda Socio Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
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Barsoum S, Latimer CS, Nolan AL, Barrett A, Chang K, Troncoso J, Keene CD, Benjamini D. Resiliency to Alzheimer's disease neuropathology can be distinguished from dementia using cortical astrogliosis imaging. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.06.592719. [PMID: 38766087 PMCID: PMC11100587 DOI: 10.1101/2024.05.06.592719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Despite the presence of significant Alzheimer's disease (AD) pathology, characterized by amyloid β (Aβ) plaques and phosphorylated tau (pTau) tangles, some cognitively normal elderly individuals do not inevitably develop dementia. These findings give rise to the notion of cognitive 'resilience', suggesting maintained cognitive function despite the presence of AD neuropathology, highlighting the influence of factors beyond classical pathology. Cortical astroglial inflammation, a ubiquitous feature of symptomatic AD, shows a strong correlation with cognitive impairment severity, potentially contributing to the diversity of clinical presentations. However, noninvasively imaging neuroinflammation, particularly astrogliosis, using MRI remains a significant challenge. Here we sought to address this challenge and to leverage multidimensional (MD) MRI, a powerful approach that combines relaxation with diffusion MR contrasts, to map cortical astrogliosis in the human brain by accessing sub-voxel information. Our goal was to test whether MD-MRI can map astroglial pathology in the cerebral cortex, and if so, whether it can distinguish cognitive resiliency from dementia in the presence of hallmark AD neuropathological changes. We adopted a multimodal approach by integrating histological and MRI analyses using human postmortem brain samples. Ex vivo cerebral cortical tissue specimens derived from three groups comprised of non-demented individuals with significant AD pathology postmortem, individuals with both AD pathology and dementia, and non-demented individuals with minimal AD pathology postmortem as controls, underwent MRI at 7 T. We acquired and processed MD-MRI, diffusion tensor, and quantitative T 1 and T 2 MRI data, followed by histopathological processing on slices from the same tissue. By carefully co-registering MRI and microscopy data, we performed quantitative multimodal analyses, leveraging targeted immunostaining to assess MD-MRI sensitivity and specificity towards Aβ, pTau, and glial fibrillary acidic protein (GFAP), a marker for astrogliosis. Our findings reveal a distinct MD-MRI signature of cortical astrogliosis, enabling the creation of predictive maps for cognitive resilience amid AD neuropathological changes. Multiple linear regression linked histological values to MRI changes, revealing that the MD-MRI cortical astrogliosis biomarker was significantly associated with GFAP burden (standardized β=0.658, pFDR<0.0001), but not with Aβ (standardized β=0.009, p FDR =0.913) or pTau (standardized β=-0.196, p FDR =0.051). Conversely, none of the conventional MRI parameters showed significant associations with GFAP burden in the cortex. While the extent to which pathological glial activation contributes to neuronal damage and cognitive impairment in AD is uncertain, developing a noninvasive imaging method to see its affects holds promise from a mechanistic perspective and as a potential predictor of cognitive outcomes.
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Sánchez-Juan P, Valeriano-Lorenzo E, Ruiz-González A, Pastor AB, Rodrigo Lara H, López-González F, Zea-Sevilla MA, Valentí M, Frades B, Ruiz P, Saiz L, Burgueño-García I, Calero M, del Ser T, Rábano A. Serum GFAP levels correlate with astrocyte reactivity, post-mortem brain atrophy and neurofibrillary tangles. Brain 2024; 147:1667-1679. [PMID: 38634687 PMCID: PMC11068326 DOI: 10.1093/brain/awae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/28/2023] [Accepted: 01/21/2024] [Indexed: 04/19/2024] Open
Abstract
Glial fibrillary acidic protein (GFAP), a proxy of astrocyte reactivity, has been proposed as biomarker of Alzheimer's disease. However, there is limited information about the correlation between blood biomarkers and post-mortem neuropathology. In a single-centre prospective clinicopathological cohort of 139 dementia patients, for which the time-frame between GFAP level determination and neuropathological assessment was exceptionally short (on average 139 days), we analysed this biomarker, measured at three time points, in relation to proxies of disease progression such as cognitive decline and brain weight. Most importantly, we investigated the use of blood GFAP to detect the neuropathological hallmarks of Alzheimer's disease, while accounting for potential influences of the most frequent brain co-pathologies. The main findings demonstrated an association between serum GFAP level and post-mortem tau pathology (β = 12.85; P < 0.001) that was independent of amyloid deposits (β = 13.23; P = 0.02). A mediation analysis provided additional support for the role of astrocytic activation as a link between amyloid and tau pathology in Alzheimer's disease. Furthermore, a negative correlation was observed between pre-mortem serum GFAP and brain weight at post-mortem (r = -0.35; P < 0.001). This finding, together with evidence of a negative correlation with cognitive assessments (r = -0.27; P = 0.005), supports the role of GFAP as a biomarker for disease monitoring, even in the late phases of Alzheimer's disease. Moreover, the diagnostic performance of GFAP in advanced dementia patients was explored, and its discriminative power (area under the receiver operator characteristic curve at baseline = 0.91) in differentiating neuropathologically-confirmed Alzheimer's disease dementias from non-Alzheimer's disease dementias was determined, despite the challenging scenario of advanced age and frequent co-pathologies in these patients. Independently of Alzheimer's disease, serum GFAP levels were shown to be associated with two other pathologies targeting the temporal lobes-hippocampal sclerosis (β = 3.64; P = 0.03) and argyrophilic grain disease (β = -6.11; P = 0.02). Finally, serum GFAP levels were revealed to be correlated with astrocyte reactivity, using the brain GFAP-immunostained area as a proxy (ρ = 0.21; P = 0.02). Our results contribute to increasing evidence suggesting a role for blood GFAP as an Alzheimer's disease biomarker, and the findings offer mechanistic insights into the relationship between blood GFAP and Alzheimer's disease neuropathology, highlighting its ties with tau burden. Moreover, the data highlighting an independent association between serum GFAP levels and other neuropathological lesions provide information for clinicians to consider when interpreting test results. The longitudinal design and correlation with post-mortem data reinforce the robustness of our findings. However, studies correlating blood biomarkers and neuropathological assessments are still scant, and further research is needed to replicate and validate these results in diverse populations.
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Affiliation(s)
- Pascual Sánchez-Juan
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, 28029 Madrid, Spain
| | | | - Alicia Ruiz-González
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Ana Belén Pastor
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Hector Rodrigo Lara
- Banco de Cerebros de la Región de Murcia, Neuropathology Department, 30120 Murcia, Spain
| | | | | | - Meritxell Valentí
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Belen Frades
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Paloma Ruiz
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Laura Saiz
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Iván Burgueño-García
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Miguel Calero
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, 28029 Madrid, Spain
- Chronic Disease Programme, Instituto de Salud Carlos III, Madrid, Spain
| | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
| | - Alberto Rábano
- Alzheimer’s Centre Reina Sofia-CIEN Foundation-ISCIII, Research Platforms, 28031 Madrid, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, 28029 Madrid, Spain
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Yuan W, Yuan H, Li R, Yong R, Mitrovic I, Lim EG, Duan S, Song P. A SERS nanocellulose-paper-based analytical device for ultrasensitive detection of Alzheimer's disease. Anal Chim Acta 2024; 1301:342447. [PMID: 38553119 DOI: 10.1016/j.aca.2024.342447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/28/2024] [Accepted: 03/03/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Alzheimer's disease (AD), one of the most prevalent neurodegenerative diseases, results in severe cognitive decline and irreversible memory loss. Early detection of AD is significant to patients for personalized intervention since effective cure and treatment methods for AD are still lacking. Despite the severity of the disease, existing highly sensitive AD detection methods, including neuroimaging and brain deposit-positive lesion tests, are not suitable for screening purposes due to their high cost and complicated operation. Therefore, these methods are unsuitable for early detection, especially in low-resource settings. Although regular paper-based microfluidics are cost-efficient for AD detection, they are restricted by a poor limit of detection (LOD). RESULTS To address the above limitations, we report the ultrasensitive and low-cost nanocellulose paper (nanopaper)-based analytical microfluidic devices (NanoPADs) for detecting one of the promising AD blood biomarkers (glial fibrillary acidic protein, GFAP) using Surface-enhanced Raman scattering (SERS) immunoassay. Nanopaper offers advantages as a SERS substrate, such as an ultrasmooth surface, high optical transparency, and tunable chemical properties. We detected the target GFAP in artificial serum, achieving a LOD of 150 fg mL-1. SIGNIFICANCE The developed NanoPADs are distinguished by their cost-efficiency and ease of implementation, presenting a promising avenue for effective early detection of AD's GFAP biomarker with ultrahigh sensitivity. More importantly, our work provides the experimental routes for SERS-based immunoassay of biomarkers on NanoPADs for various diseases in the future.
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Affiliation(s)
- Wenwen Yuan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, 710049, Xi'an, China
| | - Hang Yuan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China
| | - Ruibing Li
- Department of Clinical Laboratory Medicine, The First Medical Centre, Chinese 301 General Hospital, 100853, Beijing, China
| | - Ruiqi Yong
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China
| | - Ivona Mitrovic
- Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK
| | - Eng Gee Lim
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK
| | - Sixuan Duan
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK; Key Laboratory of Bionic Engineering, Jilin University, 130022, Changchun, China
| | - Pengfei Song
- School of Advanced Technology, Xi'an Jiaotong - Liverpool University, 215123, Suzhou, China; Department of Electrical Engineering and Electronics, University of Liverpool, L69 7ZX, Liverpool, UK.
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Sintini I, Singh NA, Li D, Mielke MM, Machulda MM, Schwarz CG, Senjem ML, Jack CR, Lowe VJ, Graff‐Radford J, Josephs KA, Whitwell JL. Plasma glial fibrillary acidic protein in the visual and language variants of Alzheimer's disease. Alzheimers Dement 2024; 20:3679-3686. [PMID: 38528318 PMCID: PMC11095421 DOI: 10.1002/alz.13713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 03/27/2024]
Abstract
INTRODUCTION Glial fibrillary acidic protein (GFAP) in plasma is a proxy for astrocytic activity and is elevated in amyloid-β (Aβ)-positive individuals, making GFAP a potential blood-based biomarker for Alzheimer's disease (AD). METHODS We assessed plasma GFAP in 72 Aβ-positive participants diagnosed with the visual or language variant of AD who underwent Aβ- and tau-PET. Fifty-nine participants had follow-up imaging. Linear regression was applied on GFAP and imaging quantities. RESULTS GFAP did not correlate with Aβ- or tau-PET cross-sectionally. There was a limited positive correlation between GFAP and rates of tau accumulation, particularly in the language variant of AD, although associations were weaker after removing one outlier patient with the highest GFAP level. DISCUSSION Among Aβ-positive AD participants with atypical presentations, plasma GFAP did not correlate with levels of AD pathology on PET, suggesting that the associations between GFAP and AD pathology might plateau during the advanced phase of the disease.
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Affiliation(s)
- Irene Sintini
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
| | | | - Danni Li
- Department of Laboratory Medicine and PathologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Michelle M. Mielke
- Department of Epidemiology and PreventionWake Forest UniversityWinston‐SalemNorth CarolinaUSA
| | - Mary M. Machulda
- Department of Psychiatry and PsychologyMayo ClinicRochesterMinnesotaUSA
| | | | | | | | - Val J. Lowe
- Department of RadiologyMayo ClinicRochesterMinnesotaUSA
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Mantellatto Grigoli M, Pelegrini LNC, Whelan R, Cominetti MR. Present and Future of Blood-Based Biomarkers of Alzheimer's Disease: Beyond the Classics. Brain Res 2024; 1830:148812. [PMID: 38369085 DOI: 10.1016/j.brainres.2024.148812] [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: 08/12/2023] [Revised: 11/13/2023] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
The field of blood-based biomarkers for Alzheimer's disease (AD) has advanced at an incredible pace, especially after the development of sensitive analytic platforms that can facilitate large-scale screening. Such screening will be important when more sophisticated diagnostic methods are scarce and expensive. Thus, blood-based biomarkers can potentially reduce diagnosis inequities among populations from different socioeconomic contexts. This large-scale screening can be performed so that older adults at risk of cognitive decline assessed using these methods can then undergo more complete assessments with classic biomarkers, increasing diagnosis efficiency and reducing costs to the health systems. Blood-based biomarkers can also aid in assessing the effect of new disease-modifying treatments. This paper reviews recent advances in the area, focusing on the following leading candidates for blood-based biomarkers: amyloid-beta (Aβ), phosphorylated tau isoforms (p-tau), neurofilament light (NfL), and glial fibrillary acidic (GFAP) proteins, as well as on new candidates, Neuron-Derived Exosomes contents (NDEs) and Transactive response DNA-binding protein-43 (TDP-43), based on data from longitudinal observational cohort studies. The underlying challenges of validating and incorporating these biomarkers into routine clinical practice and primary care settings are also discussed. Importantly, challenges related to the underrepresentation of ethnic minorities and socioeconomically disadvantaged persons must be considered. If these challenges are overcome, a new time of cost-effective blood-based biomarkers for AD could represent the future of clinical procedures in the field and, together with continued prevention strategies, the beginning of an era with a lower incidence of dementia worldwide.
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Affiliation(s)
| | | | - Robert Whelan
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Marcia R Cominetti
- Department of Gerontology, Federal University of São Carlos, Brazil; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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Dark HE, Duggan MR, Walker KA. Plasma biomarkers for Alzheimer's and related dementias: A review and outlook for clinical neuropsychology. Arch Clin Neuropsychol 2024; 39:313-324. [PMID: 38520383 DOI: 10.1093/arclin/acae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 03/25/2024] Open
Abstract
Recent technological advances have improved the sensitivity and specificity of blood-based biomarkers for Alzheimer's disease and related dementias. Accurate quantification of amyloid-ß peptide, phosphorylated tau (pTau) isoforms, as well as markers of neurodegeneration (neurofilament light chain [NfL]) and neuro-immune activation (glial fibrillary acidic protein [GFAP] and chitinase-3-like protein 1 [YKL-40]) in blood has allowed researchers to characterize neurobiological processes at scale in a cost-effective and minimally invasive manner. Although currently used primarily for research purposes, these blood-based biomarkers have the potential to be highly impactful in the clinical setting - aiding in diagnosis, predicting disease risk, and monitoring disease progression. Whereas plasma NfL has shown promise as a non-specific marker of neuronal injury, plasma pTau181, pTau217, pTau231, and GFAP have demonstrated desirable levels of sensitivity and specificity for identification of individuals with Alzheimer's disease pathology and Alzheimer's dementia. In this forward looking review, we (i) provide an overview of the most commonly used blood-based biomarkers for Alzheimer's disease and related dementias, (ii) discuss how comorbid medical conditions, demographic, and genetic factors can inform the interpretation of these biomarkers, (iii) describe ongoing efforts to move blood-based biomarkers into the clinic, and (iv) highlight the central role that clinical neuropsychologists may play in contextualizing and communicating blood-based biomarker results for patients.
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Affiliation(s)
- Heather E Dark
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Michael R Duggan
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
| | - Keenan A Walker
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Intramural Research Program, Baltimore, MD, USA
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Krix S, Wilczynski E, Falgàs N, Sánchez-Valle R, Yoles E, Nevo U, Baruch K, Fröhlich H. Towards early diagnosis of Alzheimer's disease: advances in immune-related blood biomarkers and computational approaches. Front Immunol 2024; 15:1343900. [PMID: 38720902 PMCID: PMC11078023 DOI: 10.3389/fimmu.2024.1343900] [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: 11/24/2023] [Accepted: 04/08/2024] [Indexed: 05/12/2024] Open
Abstract
Alzheimer's disease has an increasing prevalence in the population world-wide, yet current diagnostic methods based on recommended biomarkers are only available in specialized clinics. Due to these circumstances, Alzheimer's disease is usually diagnosed late, which contrasts with the currently available treatment options that are only effective for patients at an early stage. Blood-based biomarkers could fill in the gap of easily accessible and low-cost methods for early diagnosis of the disease. In particular, immune-based blood-biomarkers might be a promising option, given the recently discovered cross-talk of immune cells of the central nervous system with those in the peripheral immune system. Here, we give a background on recent advances in research on brain-immune system cross-talk in Alzheimer's disease and review machine learning approaches, which can combine multiple biomarkers with further information (e.g. age, sex, APOE genotype) into predictive models supporting an earlier diagnosis. In addition, mechanistic modeling approaches, such as agent-based modeling open the possibility to model and analyze cell dynamics over time. This review aims to provide an overview of the current state of immune-system related blood-based biomarkers and their potential for the early diagnosis of Alzheimer's disease.
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Affiliation(s)
- Sophia Krix
- Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany
- Bonn-Aachen International Center for Information Technology (b-it), University of Bonn, Bonn, Germany
| | - Ella Wilczynski
- Department of Biomedical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Neus Falgàs
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Raquel Sánchez-Valle
- Alzheimer’s Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, Fundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Eti Yoles
- ImmunoBrain Checkpoint Ltd., Rechovot, Israel
| | - Uri Nevo
- Department of Biomedical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Kuti Baruch
- ImmunoBrain Checkpoint Ltd., Rechovot, Israel
| | - Holger Fröhlich
- Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany
- Bonn-Aachen International Center for Information Technology (b-it), University of Bonn, Bonn, Germany
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36
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Calluy E, Beaudart C, Alokail MS, Al-Daghri NM, Bruyère O, Reginster JY, Cavalier E, Ladang A. Confounding factors of the expression of mTBI biomarkers, S100B, GFAP and UCH-L1 in an aging population. Clin Chem Lab Med 2024; 0:cclm-2024-0194. [PMID: 38643415 DOI: 10.1515/cclm-2024-0194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/02/2024] [Indexed: 04/22/2024]
Abstract
OBJECTIVES To evaluate some confounding factors that influence the concentrations of S100 calcium binding protein B (S100B), glial fibrillary acidic protein (GFAP), and ubiquitin carboxyl-terminal hydrolase L-1 (UCH-L1) in older individuals. Indeed, recent guidelines have proposed the combined use of S100B and the "GFAP-UCH-L1" mTBI test to rule out mild traumatic brain injuries (mTBI). As older adults are the most at risk of mTBI, it is particularly important to understand the confounding factors of those mTBI rule-out biomarkers in aging population. METHODS The protein S100B and the "GFAP and UCH-L1" mTBI test were measured using Liaison XL (Diasorin) and Alinity I (Abbott), respectively, in 330 and 341 individuals with non-suspected mTBI from the SarcoPhAge cohort. RESULTS S100B, GFAP and UCH-L1 were all significantly correlated with renal function whereas alcohol consumption, Geriatric Depression Score (GDS), smoking habits and anticoagulant intake were not associated with any of these three biomarkers. Body mass index (BMI) and age were associated with GFAP and UCH-L1 expression while sex and mini-mental state examination (MMSE) were only associated with GFAP. According to the manufacturer's cut-offs for mTBI rule-out, only 5.5 % of participants were positive for S100B whereas 66.9 % were positive for the "GFAP-UCH-L1" mTBI test. All positive "GFAP-UCH-L1" mTBI tests were GFAP+/UCH-L1-. Among individuals with cystatin C>1.55 mg/L, 25 % were positive for S100B while 90 % were positive for the mTBI test. CONCLUSIONS Our data show that confounding factors have different impacts on the positivity rate of the "GFAP-UCH-L1" mTBI test compared to S100B.
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Affiliation(s)
- Emma Calluy
- Clinical Chemistry Department, CHU de Liège, University of Liège, Liège, Belgium
| | - Charlotte Beaudart
- WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Clinical Pharmacology and Toxicology Research Unit (URPC), NARILIS, Department of Biomedical Sciences, Faculty of Medicine, University of Namur, Namur, Belgium
| | - Majed S Alokail
- Protein Research Chair, Biochemistry Department, 37850 College of Science, KSU , Riyadh, Kingdom of Saudi Arabia
| | - Nasser M Al-Daghri
- Chair for Biomarkers of Chronic Diseases, Biochemistry Department, 37850 College of Science, KSU , Riyadh, Kingdom of Saudi Arabia
| | - Olivier Bruyère
- WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Department of Sport and Rehabilitation Sciences, University of Liège, Liège, Belgium
| | - Jean-Yves Reginster
- WHO Collaborating Center for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
- Protein Research Chair, Biochemistry Department, 37850 College of Science, KSU , Riyadh, Kingdom of Saudi Arabia
| | - Etienne Cavalier
- Clinical Chemistry Department, CHU de Liège, University of Liège, Liège, Belgium
| | - Aurélie Ladang
- Clinical Chemistry Department, CHU de Liège, University of Liège, Liège, Belgium
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Wang X, Zhang X, Liu J, Zhang J, Liu C, Cui Y, Song Q, Hou Y, Wang Y, Zhang Q, Zhang Y, Fan Y, Jia J, Wang P. Synaptic vesicle glycoprotein 2 A in serum is an ideal biomarker for early diagnosis of Alzheimer's disease. Alzheimers Res Ther 2024; 16:82. [PMID: 38615037 PMCID: PMC11015666 DOI: 10.1186/s13195-024-01440-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/26/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Previous studies have demonstrated that early intervention was the best plan to inhibit the progression of Alzheimer's disease (AD), which relied on the discovery of early diagnostic biomarkers. In this study, synaptic vesicle glycoprotein 2 A (SV2A) was examined to improve the early diagnostic efficiency in AD. METHODS In this study, biomarker testing was performed through the single-molecule array (Simoa). A total of 121 subjects including cognitively unimpaired controls, amnestic mild cognitive impairment (aMCI), AD and other types of dementia underwent cerebrospinal fluid (CSF) SV2A testing; 430 subjects including health controls, aMCI, AD and other types of dementia underwent serum SV2A, glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL) and p-tau217 testing; 92 subjects including aMCI and AD underwent both CSF SV2A and serum SV2A testing; 115 cognitively unimpaired subjects including APOE ε4 carriers and APOE ε4 non-carriers were tested for serum SV2A, GFAP, NfL and p-tau217. Then, the efficacy of SV2A for the early diagnosis of AD and its ability to identify those at high risk of AD from a cognitively unimpaired population were further analyzed. RESULTS Both CSF and serum SV2A significantly and positively correlated with cognitive performance in patients with AD, and their levels gradually decreased with the progression of AD. Serum SV2A demonstrated excellent diagnostic efficacy for aMCI, with a sensitivity of 97.8%, which was significantly higher than those of NfL, GFAP, and p-tau217. The SV2A-positive rates ranged from 92.86 to 100% in aMCI cases that were negative for the above three biomarkers. Importantly, of all the biomarkers tested, serum SV2A had the highest positivity rate (81.82%) in individuals at risk for AD. CONCLUSIONS Serum SV2A was demonstrated to be a novel and ideal biomarker for the early diagnosis of AD, which can effectively distinguish those at high risk of AD in cognitively unimpaired populations.
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Affiliation(s)
- Xiaoling Wang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Xiaomin Zhang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Jing Liu
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Jingjing Zhang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Congcong Liu
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yuting Cui
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Qiao Song
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yuli Hou
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yaqi Wang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Qian Zhang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yingzhen Zhang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Yujian Fan
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Jianping Jia
- National Clinical Research Center for Geriatric Disorders, 45 Changchun Street, Beijing, 100053, China.
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Beijing Key Laboratory of Geriatric Cognitive Disorders, 45 Changchun Street, Beijing, 100053, China.
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, 45 Changchun Street, Beijing, 100053, China.
| | - Peichang Wang
- Department of Clinical Laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- National Clinical Research Center for Geriatric Disorders, 45 Changchun Street, Beijing, 100053, China.
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Wang S, Xie S, Zheng Q, Zhang Z, Wang T, Zhang G. Biofluid biomarkers for Alzheimer's disease. Front Aging Neurosci 2024; 16:1380237. [PMID: 38659704 PMCID: PMC11039951 DOI: 10.3389/fnagi.2024.1380237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
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Affiliation(s)
- Sensen Wang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Sitan Xie
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Qinpin Zheng
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Zhihui Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Guirong Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
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Ingannato A, Bagnoli S, Mazzeo S, Giacomucci G, Bessi V, Ferrari C, Sorbi S, Nacmias B. Plasma GFAP, NfL and pTau 181 detect preclinical stages of dementia. Front Endocrinol (Lausanne) 2024; 15:1375302. [PMID: 38654932 PMCID: PMC11035722 DOI: 10.3389/fendo.2024.1375302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Plasma biomarkers are preferable to invasive and expensive diagnostic tools, such as neuroimaging and lumbar puncture that are gold standard in the clinical management of Alzheimer's Disease (AD). Here, we investigated plasma Glial Fibrillary Acidic Protein (GFAP), Neurofilament Light Chain (NfL) and Phosphorylated-tau-181 (pTau 181) in AD and in its early stages: Subjective cognitive decline (SCD) and Mild cognitive impairment (MCI). Material and methods This study included 152 patients (42 SCD, 74 MCI and 36 AD). All patients underwent comprehensive clinical and neurological assessment. Blood samples were collected for Apolipoprotein E (APOE) genotyping and plasma biomarker (GFAP, NfL, and pTau 181) measurements. Forty-three patients (7 SCD, 27 MCI, and 9 AD) underwent a follow-up (FU) visit after 2 years, and a second plasma sample was collected. Plasma biomarker levels were detected using the Simoa SR-X technology (Quanterix Corp.). Statistical analysis was performed using SPSS software version 28 (IBM SPSS Statistics). Statistical significance was set at p < 0.05. Results GFAP, NfL and pTau 181 levels in plasma were lower in SCD and MCI than in AD patients. In particular, plasma GFAP levels were statistically significant different between SCD and AD (p=0.003), and between MCI and AD (p=0.032). Plasma NfL was different in SCD vs MCI (p=0.026), SCD vs AD (p<0.001), SCD vs AD FU (p<0.001), SCD FU vs AD (p=0.033), SCD FU vs AD FU (p=0.011), MCI vs AD (p=0.002), MCI FU vs AD (p=0.003), MCI FU vs AD FU (p=0.003) and MCI vs AD FU (p=0.003). Plasma pTau 181 concentration was significantly different between SCD and AD (p=0.001), MCI and AD (p=0.026), MCI FU and AD (p=0.020). In APOE ϵ4 carriers, a statistically significant increase in plasma NfL (p<0.001) and pTau 181 levels was found (p=0.014). Moreover, an association emerged between age at disease onset and plasma GFAP (p = 0.021) and pTau181 (p < 0.001) levels. Discussion and conclusions Plasma GFAP, NfL and pTau 181 are promising biomarkers in the diagnosis of the prodromic stages and prognosis of dementia.
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Affiliation(s)
- Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Salvatore Mazzeo
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Policlinico San Donato, San Donato Milanese, Italy
| | - Giulia Giacomucci
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Valentina Bessi
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Camilla Ferrari
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
- Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Don Carlo Gnocchi, Florence, Italy
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Toniolo S, Zhao S, Scholcz A, Amein B, Ganse‐Dumrath A, Heslegrave AJ, Thompson S, Manohar S, Zetterberg H, Husain M. Relationship of plasma biomarkers to digital cognitive tests in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12590. [PMID: 38623387 PMCID: PMC11016819 DOI: 10.1002/dad2.12590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/17/2024]
Abstract
INTRODUCTION A major limitation in Alzheimer's disease (AD) research is the lack of the ability to measure cognitive performance at scale-robustly, remotely, and frequently. Currently, there are no established online digital platforms validated against plasma biomarkers of AD. METHODS We used a novel web-based platform that assessed different cognitive functions in AD patients (N = 46) and elderly controls (N = 53) who were also evaluated for plasma biomarkers (amyloid beta 42/40 ratio, phosphorylated tau ([p-tau]181, glial fibrillary acidic protein, neurofilament light chain). Their cognitive performance was compared to a second, larger group of elderly controls (N = 352). RESULTS Patients with AD were significantly impaired across all digital cognitive tests, with performance correlating with plasma biomarker levels, particularly p-tau181. The combination of p-tau181 and the single best-performing digital test achieved high accuracy in group classification. DISCUSSION These findings show how online testing can now be deployed in patients with AD to measure cognitive function effectively and related to blood biomarkers of the disease. Highlights This is the first study comparing online digital testing to plasma biomarkers.Alzheimer's disease patients and two independent cohorts of elderly controls were assessed.Cognitive performance correlated with plasma biomarkers, particularly phosphorylated tau (p-tau)181.Glial fibrillary acidic protein and neurofilament light chain, and less so the amyloid beta 42/40 ratio, were also associated with performance.The best cognitive metric performed at par to p-tau181 in group classification.
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Affiliation(s)
- Sofia Toniolo
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
| | - Sijia Zhao
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Anna Scholcz
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Benazir Amein
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Akke Ganse‐Dumrath
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Amanda J. Heslegrave
- UK Dementia Research InstituteUCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
| | | | - Sanjay Manohar
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
| | - Henrik Zetterberg
- UK Dementia Research InstituteUCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Institute of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Masud Husain
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
- Cognitive Disorders ClinicJR HospitalOxfordUK
- Department of Experimental PsychologyUniversity of OxfordOxfordUK
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Chong JR, Chai YL, Yam ATY, Hilal S, Vrooman H, Venketasubramanian N, Blennow K, Zetterberg H, Ashton NJ, Chen CP, Lai MKP. Association of plasma GFAP with elevated brain amyloid is dependent on severity of white matter lesions in an Asian cognitively impaired cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12576. [PMID: 38605996 PMCID: PMC11007806 DOI: 10.1002/dad2.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/25/2024] [Accepted: 03/01/2024] [Indexed: 04/13/2024]
Abstract
INTRODUCTION While elevated blood glial fibrillary acidic protein (GFAP) has been associated with brain amyloid pathology, whether this association occurs in populations with high cerebral small vessel disease (CSVD) concomitance remains unclear. METHODS Using a Singapore-based cohort of cognitively impaired subjects, we assessed associations between plasma GFAP and neuroimaging measures of brain amyloid and CSVD, including white matter hyperintensities (WMH). We also examined the diagnostic performance of plasma GFAP in detecting brain amyloid beta positivity (Aβ+). RESULTS When stratified by WMH status, elevated brain amyloid was associated with higher plasma GFAP only in the WMH- group (β = 0.383; P < 0.001). The diagnostic performance of plasma GFAP in identifying Aβ+ was significantly higher in the WMH- group (area under the curve [AUC] = 0.896) than in the WMH+ group (AUC = 0.712, P = 0.008). DISCUSSION The biomarker utility of plasma GFAP in detecting brain amyloid pathology is dependent on the severity of concomitant WMH. Highlight Glial fibrillary acidic protein (GFAP)'s association with brain amyloid is unclear in populations with high cerebral small vessel disease (CSVD).Plasma GFAP was measured in a cohort with CSVD and brain amyloid.Plasma GFAP was better in detecting amyloid in patients with low CSVD versus high CSVD.Biomarker utility of GFAP in detecting brain amyloid depends on the severity of CSVD.
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Affiliation(s)
- Joyce R. Chong
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Yuek Ling Chai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Amelia T. Y. Yam
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Saima Hilal
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
- Saw Swee Hock School of Public HealthNational University of Singapore and National University Health SystemKent RidgeSingapore
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | - Henri Vrooman
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamthe Netherlands
| | | | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
- Department of Neurodegenerative DiseaseThe UCL Queen Square Institute of NeurologyLondonUK
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGöteborgSweden
| | - Christopher P. Chen
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
| | - Mitchell K. P. Lai
- Department of PharmacologyYong Loo Lin School of MedicineNational University of SingaporeKent RidgeSingapore
- Memory, Aging and Cognition CentreNational University Health SystemsKent RidgeSingapore
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Lista S, Mapstone M, Caraci F, Emanuele E, López-Ortiz S, Martín-Hernández J, Triaca V, Imbimbo C, Gabelle A, Mielke MM, Nisticò R, Santos-Lozano A, Imbimbo BP. A critical appraisal of blood-based biomarkers for Alzheimer's disease. Ageing Res Rev 2024; 96:102290. [PMID: 38580173 DOI: 10.1016/j.arr.2024.102290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/18/2024] [Accepted: 03/31/2024] [Indexed: 04/07/2024]
Abstract
Biomarkers that predict the clinical onset of Alzheimer's disease (AD) enable the identification of individuals in the early, preclinical stages of the disease. Detecting AD at this point may allow for more effective therapeutic interventions and optimized enrollment for clinical trials of novel drugs. The current biological diagnosis of AD is based on the AT(N) classification system with the measurement of brain deposition of amyloid-β (Aβ) ("A"), tau pathology ("T"), and neurodegeneration ("N"). Diagnostic cut-offs for Aβ1-42, the Aβ1-42/Aβ1-40 ratio, tau and hyperphosphorylated-tau concentrations in cerebrospinal fluid have been defined and may support AD clinical diagnosis. Blood-based biomarkers of the AT(N) categories have been described in the AD continuum. Cross-sectional and longitudinal studies have shown that the combination of blood biomarkers tracking neuroaxonal injury (neurofilament light chain) and neuroinflammatory pathways (glial fibrillary acidic protein) enhance sensitivity and specificity of AD clinical diagnosis and improve the prediction of AD onset. However, no international accepted cut-offs have been identified for these blood biomarkers. A kit for blood Aβ1-42/Aβ1-40 is commercially available in the U.S.; however, it does not provide a diagnosis, but simply estimates the risk of developing AD. Although blood-based AD biomarkers have a great potential in the diagnostic work-up of AD, they are not ready for the routine clinical use.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA.
| | - Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania 95125, Italy; Neuropharmacology and Translational Neurosciences Research Unit, Oasi Research Institute-IRCCS, Troina 94018, Italy.
| | | | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain.
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome 00015, Italy.
| | - Camillo Imbimbo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia 27100, Italy.
| | - Audrey Gabelle
- Memory Resources and Research Center, Montpellier University of Excellence i-site, Montpellier 34295, France.
| | - Michelle M Mielke
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome 00133, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome 00143, Italy.
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid 47012, Spain; Physical Activity and Health Research Group (PaHerg), Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid 28041, Spain.
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma 43122, Italy.
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Huber H, Blennow K, Zetterberg H, Boada M, Jeromin A, Weninger H, Nuñez‐Llaves R, Aguilera N, Ramis M, Simrén J, Nilsson J, Lantero‐Rodriguez J, Orellana A, García‐Gutiérrez F, Morató X, Ashton NJ, Montoliu‐Gaya L. Biomarkers of Alzheimer's disease and neurodegeneration in dried blood spots-A new collection method for remote settings. Alzheimers Dement 2024; 20:2340-2352. [PMID: 38284555 PMCID: PMC11032540 DOI: 10.1002/alz.13697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND We aimed to evaluate the precision of Alzheimer's disease (AD) and neurodegeneration biomarker measurements from venous dried plasma spots (DPSv enous) for the diagnosis and monitoring of neurodegenerative diseases in remote settings. METHODS In a discovery (n = 154) and a validation cohort (n = 115), glial fibrillary acidic protein (GFAP); neurofilament light (NfL); amyloid beta (Aβ) 40, Aβ42; and phosphorylated tau (p-tau181 and p-tau217) were measured in paired DPSvenous and ethylenediaminetetraacetic acid plasma samples with single-molecule array. In the validation cohort, a subset of participants (n = 99) had cerebrospinal fluid (CSF) biomarkers. RESULTS All DPSvenous and plasma analytes correlated significantly, except for Aβ42. In the validation cohort, DPSvenous GFAP, NfL, p-tau181, and p-tau217 differed between CSF Aβ-positive and -negative individuals and were associated with worsening cognition. DISCUSSION Our data suggest that measuring blood biomarkers related to AD pathology and neurodegeneration from DPSvenous extends the utility of blood-based biomarkers to remote settings with simplified sampling conditions, storage, and logistics. HIGHLIGHTS A wide array of biomarkers related to Alzheimer's disease (AD) and neurodegeneration were detectable in dried plasma spots (DPSvenous). DPSvenous biomarkers correlated with standard procedures and cognitive status. DPSvenous biomarkers had a good diagnostic accuracy discriminating amyloid status. Our findings show the potential interchangeability of DPSvenous and plasma sampling. DPSvenous may facilitate remote and temperature-independent sampling for AD biomarker measurement. Innovative tools for blood biomarker sampling may help recognizing the earliest changes of AD.
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Affiliation(s)
- Hanna Huber
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- UK Dementia Research InstituteUCLLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- Wisconsin Alzheimer's Disease Research CenterUniversity of Wisconsin School of Medicine and Public HealthMadisonWisconsinUSA
| | - Mercé Boada
- Networking Research Center on Neurodegenerative Diseases (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | | | - Haley Weninger
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Raul Nuñez‐Llaves
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Núria Aguilera
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Maribel Ramis
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Joel Simrén
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Johanna Nilsson
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Juan Lantero‐Rodriguez
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
| | - Adelina Orellana
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | | | - Xavier Morató
- Networking Research Center on Neurodegenerative Diseases (CIBERNED)Instituto de Salud Carlos IIIMadridSpain
- Ace Alzheimer Center BarcelonaInternational University of Catalunya (UIC)BarcelonaSpain
| | - Nicholas J. Ashton
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Laia Montoliu‐Gaya
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Shagreens Academy at the University of GothenburgMölndalSweden
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Joseph CR. Progressive Age-Associated Blood-Brain Barrier Leak/Dysfunction-Nexus of Neurodegenerative Disease Using MRI Markers to Identify Preclinical Disease and Potential New Targets for Future Treatments. Diagnostics (Basel) 2024; 14:726. [PMID: 38611639 PMCID: PMC11011559 DOI: 10.3390/diagnostics14070726] [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: 01/20/2024] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
This review article focuses on the upstream pertinent pathophysiology leading to neurodegenerative disease. Specifically, the nexus appears to be blood-brain barrier (BBB) leakiness resulting in a two-prong inflammatory disease spectrum damaging the microvasculature and corrupting protein synthesis and degradation with accumulating misfolded toxic proteins. The suboptimal results of removing misfolded proteins mean a new approach to disease in the preclinical state is required aimed at other targets. Validated noninvasive imaging and serologic biomarkers of early preclinical disease implemented in the high-risk patient cohort along with periodic surveillance once effective treatments are developed will be required. This review discusses the physiology and pathophysiology of the BBB, new MRI imaging techniques identifying the leak, and altered fluid dynamic effects in the preclinical state. The risk factors for disease development, preventative measures, and potential treatment targets are also discussed.
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Affiliation(s)
- Charles R Joseph
- Neurology and Internal Medicine, College of Osteopathic Medicine, Liberty University, Lynchburg, VA 24502, USA
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Colvee-Martin H, Parra JR, Gonzalez GA, Barker W, Duara R. Neuropathology, Neuroimaging, and Fluid Biomarkers in Alzheimer's Disease. Diagnostics (Basel) 2024; 14:704. [PMID: 38611617 PMCID: PMC11012058 DOI: 10.3390/diagnostics14070704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/05/2024] [Accepted: 02/17/2024] [Indexed: 04/14/2024] Open
Abstract
An improved understanding of the pathobiology of Alzheimer's disease (AD) should lead ultimately to an earlier and more accurate diagnosis of AD, providing the opportunity to intervene earlier in the disease process and to improve outcomes. The known hallmarks of Alzheimer's disease include amyloid-β plaques and neurofibrillary tau tangles. It is now clear that an imbalance between production and clearance of the amyloid beta protein and related Aβ peptides, especially Aβ42, is a very early, initiating factor in Alzheimer's disease (AD) pathogenesis, leading to aggregates of hyperphosphorylation and misfolded tau protein, inflammation, and neurodegeneration. In this article, we review how the AD diagnostic process has been transformed in recent decades by our ability to measure these various elements of the pathological cascade through the use of imaging and fluid biomarkers. The more recently developed plasma biomarkers, especially phosphorylated-tau217 (p-tau217), have utility for screening and diagnosis of the earliest stages of AD. These biomarkers can also be used to measure target engagement by disease-modifying therapies and the response to treatment.
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Affiliation(s)
- Helena Colvee-Martin
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
| | - Juan Rayo Parra
- Human & Molecular Genetics, Florida International University, Miami, FL 33199, USA; (J.R.P.); (G.A.G.)
| | - Gabriel Antonio Gonzalez
- Human & Molecular Genetics, Florida International University, Miami, FL 33199, USA; (J.R.P.); (G.A.G.)
| | - Warren Barker
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
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46
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Brum WS, Cullen NC, Therriault J, Janelidze S, Rahmouni N, Stevenson J, Servaes S, Benedet AL, Zimmer ER, Stomrud E, Palmqvist S, Zetterberg H, Frisoni GB, Ashton NJ, Blennow K, Mattsson-Carlgren N, Rosa-Neto P, Hansson O. A blood-based biomarker workflow for optimal tau-PET referral in memory clinic settings. Nat Commun 2024; 15:2311. [PMID: 38486040 PMCID: PMC10940585 DOI: 10.1038/s41467-024-46603-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024] Open
Abstract
Blood-based biomarkers for screening may guide tau positrion emissition tomography (PET) scan referrals to optimize prognostic evaluation in Alzheimer's disease. Plasma Aβ42/Aβ40, pTau181, pTau217, pTau231, NfL, and GFAP were measured along with tau-PET in memory clinic patients with subjective cognitive decline, mild cognitive impairment or dementia, in the Swedish BioFINDER-2 study (n = 548) and in the TRIAD study (n = 179). For each plasma biomarker, cutoffs were determined for 90%, 95%, or 97.5% sensitivity to detect tau-PET-positivity. We calculated the percentage of patients below the cutoffs (who would not undergo tau-PET; "saved scans") and the tau-PET-positivity rate among participants above the cutoffs (who would undergo tau-PET; "positive predictive value"). Generally, plasma pTau217 performed best. At the 95% sensitivity cutoff in both cohorts, pTau217 resulted in avoiding nearly half tau-PET scans, with a tau-PET-positivity rate among those who would be referred for a scan around 70%. And although tau-PET was strongly associated with subsequent cognitive decline, in BioFINDER-2 it predicted cognitive decline only among individuals above the referral cutoff on plasma pTau217, supporting that this workflow could reduce prognostically uninformative tau-PET scans. In conclusion, plasma pTau217 may guide selection of patients for tau-PET, when accurate prognostic information is of clinical value.
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Affiliation(s)
- Wagner S Brum
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Nicholas C Cullen
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Joseph Therriault
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Quebec, QC, Canada
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
| | - Nesrine Rahmouni
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Quebec, QC, Canada
| | - Jenna Stevenson
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Quebec, QC, Canada
| | - Stijn Servaes
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Quebec, QC, Canada
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Eduardo R Zimmer
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Pharmacology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
- Graduate Program in Biological Sciences: Pharmacology, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Lund, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, United Kingdom
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Giovanni B Frisoni
- Memory Center, Geneva University and University Hospital, Geneva, Switzerland
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- King's College London, Institute of Psychiatry, Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Pedro Rosa-Neto
- McGill Centre for Studies in Aging, McGill University, Verdun, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Quebec, QC, Canada
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden.
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Cohen J, Mathew A, Dourvetakis KD, Sanchez-Guerrero E, Pangeni RP, Gurusamy N, Aenlle KK, Ravindran G, Twahir A, Isler D, Sosa-Garcia SR, Llizo A, Bested AC, Theoharides TC, Klimas NG, Kempuraj D. Recent Research Trends in Neuroinflammatory and Neurodegenerative Disorders. Cells 2024; 13:511. [PMID: 38534355 DOI: 10.3390/cells13060511] [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: 12/25/2023] [Revised: 03/03/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024] Open
Abstract
Neuroinflammatory and neurodegenerative disorders including Alzheimer's disease (AD), Parkinson's disease (PD), traumatic brain injury (TBI) and Amyotrophic lateral sclerosis (ALS) are chronic major health disorders. The exact mechanism of the neuroimmune dysfunctions of these disease pathogeneses is currently not clearly understood. These disorders show dysregulated neuroimmune and inflammatory responses, including activation of neurons, glial cells, and neurovascular unit damage associated with excessive release of proinflammatory cytokines, chemokines, neurotoxic mediators, and infiltration of peripheral immune cells into the brain, as well as entry of inflammatory mediators through damaged neurovascular endothelial cells, blood-brain barrier and tight junction proteins. Activation of glial cells and immune cells leads to the release of many inflammatory and neurotoxic molecules that cause neuroinflammation and neurodegeneration. Gulf War Illness (GWI) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) are chronic disorders that are also associated with neuroimmune dysfunctions. Currently, there are no effective disease-modifying therapeutic options available for these diseases. Human induced pluripotent stem cell (iPSC)-derived neurons, astrocytes, microglia, endothelial cells and pericytes are currently used for many disease models for drug discovery. This review highlights certain recent trends in neuroinflammatory responses and iPSC-derived brain cell applications in neuroinflammatory disorders.
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Affiliation(s)
- Jessica Cohen
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Annette Mathew
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Kirk D Dourvetakis
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Estella Sanchez-Guerrero
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Rajendra P Pangeni
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Narasimman Gurusamy
- Department of Pharmaceutical Sciences, Barry and Judy Silverman College of Pharmacy, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Kristina K Aenlle
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
- Miami VA Geriatric Research Education and Clinical Center (GRECC), Miami Veterans Affairs Healthcare System, Miami, FL 33125, USA
| | - Geeta Ravindran
- Cell Therapy Institute, Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Assma Twahir
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Dylan Isler
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Sara Rukmini Sosa-Garcia
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Axel Llizo
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Alison C Bested
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
| | - Theoharis C Theoharides
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
- Laboratory of Molecular Immunopharmacology and Drug Discovery, Department of Immunology, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Nancy G Klimas
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
- Miami VA Geriatric Research Education and Clinical Center (GRECC), Miami Veterans Affairs Healthcare System, Miami, FL 33125, USA
| | - Duraisamy Kempuraj
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL 33328, USA
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48
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Zhang Z, Li X, Ma L, Wang S, Zhang J, Zhou Y, Guo X, Niu Q. LNC000152 Mediates Aluminum-Induced Proliferation of Reactive Astrocytes. ACS OMEGA 2024; 9:11958-11968. [PMID: 38496998 PMCID: PMC10938322 DOI: 10.1021/acsomega.3c09702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 12/29/2023] [Accepted: 01/05/2024] [Indexed: 03/19/2024]
Abstract
Aluminum is a metal element with significant neurotoxicity, and there is a substantial correlation between aluminum exposure and cognitive dysfunction. Glial fibrillary acidic protein (GFAP) is widely used as a marker of reactive astrocyte proliferation in response to pathological injury of the central nervous system. Studies of various neurodegenerative diseases have confirmed that the expression changes in GFAP are associated with nerve injury. We investigated the role of LNC000152 in the aluminum-induced reactive proliferation of astrocytes. By establishing two aluminum-exposed cell models of rat primary astrocytes and CTX-TNA2 cell lines, we examined the expression of LNC000152 and GFAP and detected cell proliferation with EdU and cell cycle changes with flow cytometry. The role of aluminum in promoting glial cell proliferation was verified; the expression levels of LNC000152 and GFAP increased with the concentration of aluminum exposure. Intervention of LNC000152 expression by siRNA technology revealed that LNC000152 affected glial cell responsive proliferation by influencing GFAP expression. These results suggest that LNC000152 plays a role in the reactive proliferation of astrocytes induced by aluminum.
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Affiliation(s)
- Zhuoran Zhang
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Xiaoyan Li
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Limin Ma
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Shanshan Wang
- Section
of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Jingsi Zhang
- Section
of Occupational Medicine, Department of Special Medicine, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Yue Zhou
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Xin Guo
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
| | - Qiao Niu
- Department
of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi, China
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49
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Padrela B, Mahroo A, Tee M, Sneve MH, Moyaert P, Geier O, Kuijer JPA, Beun S, Nordhøy W, Zhu YD, Buck MA, Hoinkiss DC, Konstandin S, Huber J, Wiersinga J, Rikken R, de Leeuw D, Grydeland H, Tippett L, Cawston EE, Ozturk-Isik E, Linn J, Brandt M, Tijms BM, van de Giessen EM, Muller M, Fjell A, Walhovd K, Bjørnerud A, Pålhaugen L, Selnes P, Clement P, Achten E, Anazodo U, Barkhof F, Hilal S, Fladby T, Eickel K, Morgan C, Thomas DL, Petr J, Günther M, Mutsaerts HJMM. Developing blood-brain barrier arterial spin labelling as a non-invasive early biomarker of Alzheimer's disease (DEBBIE-AD): a prospective observational multicohort study protocol. BMJ Open 2024; 14:e081635. [PMID: 38458785 DOI: 10.1136/bmjopen-2023-081635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024] Open
Abstract
INTRODUCTION Loss of blood-brain barrier (BBB) integrity is hypothesised to be one of the earliest microvascular signs of Alzheimer's disease (AD). Existing BBB integrity imaging methods involve contrast agents or ionising radiation, and pose limitations in terms of cost and logistics. Arterial spin labelling (ASL) perfusion MRI has been recently adapted to map the BBB permeability non-invasively. The DEveloping BBB-ASL as a non-Invasive Early biomarker (DEBBIE) consortium aims to develop this modified ASL-MRI technique for patient-specific and robust BBB permeability assessments. This article outlines the study design of the DEBBIE cohorts focused on investigating the potential of BBB-ASL as an early biomarker for AD (DEBBIE-AD). METHODS AND ANALYSIS DEBBIE-AD consists of a multicohort study enrolling participants with subjective cognitive decline, mild cognitive impairment and AD, as well as age-matched healthy controls, from 13 cohorts. The precision and accuracy of BBB-ASL will be evaluated in healthy participants. The clinical value of BBB-ASL will be evaluated by comparing results with both established and novel AD biomarkers. The DEBBIE-AD study aims to provide evidence of the ability of BBB-ASL to measure BBB permeability and demonstrate its utility in AD and AD-related pathologies. ETHICS AND DISSEMINATION Ethics approval was obtained for 10 cohorts, and is pending for 3 cohorts. The results of the main trial and each of the secondary endpoints will be submitted for publication in a peer-reviewed journal.
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Affiliation(s)
- Beatriz Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Amnah Mahroo
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Mervin Tee
- National University Health System, Singapore
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Paulien Moyaert
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Diagnostic Sciences, University Hospital Ghent, Gent, Belgium
| | - Oliver Geier
- Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway
| | - Joost P A Kuijer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Soetkin Beun
- Department of Diagnostic Sciences, University Hospital Ghent, Gent, Belgium
| | - Wibeke Nordhøy
- Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway
| | - Yufei David Zhu
- Biomedical Engineering, University of California Davis, Davis, California, USA
| | - Mareike A Buck
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- University of Bremen, Bremen, Germany
| | | | - Simon Konstandin
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Jörn Huber
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
| | - Julia Wiersinga
- Department of Internal Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Roos Rikken
- Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | | | - Håkon Grydeland
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Lynette Tippett
- The University of Auckland School of Psychology, Auckland, New Zealand
| | - Erin E Cawston
- The University of Auckland Department of Pharmacology and Clinical Pharmacology, Auckland, New Zealand
| | - Esin Ozturk-Isik
- Bogazici University Institute of Biomedical Engineering, Istanbul, Turkey
| | - Jennifer Linn
- Department of Neurology, Faculty of Medicine, Babylon, Iraq
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Moritz Brandt
- Department of Neurology, Faculty of Medicine, Babylon, Iraq
- Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Betty M Tijms
- Neurology, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | | | - Majon Muller
- Department of Internal Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Anders Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - Kristine Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - Atle Bjørnerud
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - Lene Pålhaugen
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
- University of Oslo, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Patricia Clement
- Department of Diagnostic Sciences, University Hospital Ghent, Gent, Belgium
| | - Eric Achten
- Department of Diagnostic Sciences, University Hospital Ghent, Gent, Belgium
| | - Udunna Anazodo
- Lawson Health Research Institute, London, Ontario, Canada
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
- University College London, London, UK
| | - Saima Hilal
- National University Health System, Singapore
- Department of Pharmacology, National University of Singapore, Singapore
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
- University of Oslo, Oslo, Norway
| | - Klaus Eickel
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- University of Applied Sciences Bremerhaven, Bremerhaven, Germany
| | - Catherine Morgan
- The University of Auckland School of Psychology, Auckland, New Zealand
| | - David L Thomas
- Department of Brain Repair and Rehabilitation, University College London, London, UK
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Matthias Günther
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- University of Bremen, Bremen, Germany
| | - Henk J M M Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
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50
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De Meyer S, Blujdea ER, Schaeverbeke J, Reinartz M, Luckett ES, Adamczuk K, Van Laere K, Dupont P, Teunissen CE, Vandenberghe R, Poesen K. Longitudinal associations of serum biomarkers with early cognitive, amyloid and grey matter changes. Brain 2024; 147:936-948. [PMID: 37787146 DOI: 10.1093/brain/awad330] [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: 04/01/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 10/04/2023] Open
Abstract
Blood-based biomarkers have been extensively evaluated for their diagnostic potential in Alzheimer's disease. However, their relative prognostic and monitoring capabilities for cognitive decline, amyloid-β (Aβ) accumulation and grey matter loss in cognitively unimpaired elderly require further investigation over extended time periods. This prospective cohort study in cognitively unimpaired elderly [n = 185, mean age (range) = 69 (53-84) years, 48% female] examined the prognostic and monitoring capabilities of glial fibrillary acidic protein (GFAP), neurofilament light (NfL), Aβ1-42/Aβ1-40 and phosphorylated tau (pTau)181 through their quantification in serum. All participants underwent baseline Aβ-PET, MRI and blood sampling as well as 2-yearly cognitive testing. A subset additionally underwent Aβ-PET (n = 109), MRI (n = 106) and blood sampling (n = 110) during follow-up [median time interval (range) = 6.1 (1.3-11.0) years]. Matching plasma measurements were available for Aβ1-42/Aβ1-40 and pTau181 (both n = 140). Linear mixed-effects models showed that high serum GFAP and NfL predicted future cognitive decline in memory (βGFAP×Time = -0.021, PFDR = 0.007 and βNfL×Time = -0.031, PFDR = 0.002) and language (βGFAP×Time = -0.021, PFDR = 0.002 and βNfL×Time = -0.018, PFDR = 0.03) domains. Low serum Aβ1-42/Aβ1-40 equally but independently predicted memory decline (βAβ1-42/Aβ1-40×Time = -0.024, PFDR = 0.02). Whole-brain voxelwise analyses revealed that low Aβ1-42/Aβ1-40 predicted Aβ accumulation within the precuneus and frontal regions, high GFAP and NfL predicted grey matter loss within hippocampal regions and low Aβ1-42/Aβ1-40 predicted grey matter loss in lateral temporal regions. Serum GFAP, NfL and pTau181 increased over time, while Aβ1-42/Aβ1-40 decreased only in Aβ-PET-negative elderly. NfL increases associated with declining memory (βNfLchange×Time = -0.030, PFDR = 0.006) and language (βNfLchange×Time = -0.021, PFDR = 0.02) function and serum Aβ1-42/Aβ1-40 decreases associated with declining language function (βAβ1-42/Aβ1-40×Time = -0.020, PFDR = 0.04). GFAP increases associated with Aβ accumulation within the precuneus and NfL increases associated with grey matter loss. Baseline and longitudinal serum pTau181 only associated with Aβ accumulation in restricted occipital regions. In head-to-head comparisons, serum outperformed plasma Aβ1-42/Aβ1-40 (ΔAUC = 0.10, PDeLong, FDR = 0.04), while both plasma and serum pTau181 demonstrated poor performance to detect asymptomatic Aβ-PET positivity (AUC = 0.55 and 0.63, respectively). However, when measured with a more phospho-specific assay, plasma pTau181 detected Aβ-positivity with high performance (AUC = 0.82, PDeLong, FDR < 0.007). In conclusion, serum GFAP, NfL and Aβ1-42/Aβ1-40 are valuable prognostic and/or monitoring tools in asymptomatic stages providing complementary information in a time- and pathology-dependent manner.
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Affiliation(s)
- Steffi De Meyer
- Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Elena R Blujdea
- Neurochemistry Laboratory, Amsterdam UMC, 1081 HZ Amsterdam, The Netherlands
| | - Jolien Schaeverbeke
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Mariska Reinartz
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Emma S Luckett
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | - Katarzyna Adamczuk
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
| | - Koen Van Laere
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium
- Division of Nuclear Medicine, UZ Leuven, 3000 Leuven, Belgium
| | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
| | | | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Department of Neurology, UZ Leuven, 3000 Leuven, Belgium
| | - Koen Poesen
- Laboratory for Molecular Neurobiomarker Research, Department of Neurosciences, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre, Leuven Brain Institute (LBI), KU Leuven, 3000 Leuven, Belgium
- Department of Laboratory Medicine, UZ Leuven, 3000 Leuven, Belgium
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