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Bonanni R, Cariati I, Cifelli P, Frank C, Annino G, Tancredi V, D'Arcangelo G. Exercise to Counteract Alzheimer's Disease: What Do Fluid Biomarkers Say? Int J Mol Sci 2024; 25:6951. [PMID: 39000060 PMCID: PMC11241657 DOI: 10.3390/ijms25136951] [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: 05/14/2024] [Revised: 06/14/2024] [Accepted: 06/22/2024] [Indexed: 07/16/2024] Open
Abstract
Neurodegenerative diseases (NDs) represent an unsolved problem to date with an ever-increasing population incidence. Particularly, Alzheimer's disease (AD) is the most widespread ND characterized by an accumulation of amyloid aggregates of beta-amyloid (Aβ) and Tau proteins that lead to neuronal death and subsequent cognitive decline. Although neuroimaging techniques are needed to diagnose AD, the investigation of biomarkers within body fluids could provide important information on neurodegeneration. Indeed, as there is no definitive solution for AD, the monitoring of these biomarkers is of strategic importance as they are useful for both diagnosing AD and assessing the progression of the neurodegenerative state. In this context, exercise is known to be an effective non-pharmacological management strategy for AD that can counteract cognitive decline and neurodegeneration. However, investigation of the concentration of fluid biomarkers in AD patients undergoing exercise protocols has led to unclear and often conflicting results, suggesting the need to clarify the role of exercise in modulating fluid biomarkers in AD. Therefore, this critical literature review aims to gather evidence on the main fluid biomarkers of AD and the modulatory effects of exercise to clarify the efficacy and usefulness of this non-pharmacological strategy in counteracting neurodegeneration in AD.
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Affiliation(s)
- Roberto Bonanni
- Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Ida Cariati
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Pierangelo Cifelli
- Department of Applied Clinical and Biotechnological Sciences, University of L'Aquila, 67100 L'Aquila, Italy
| | - Claudio Frank
- UniCamillus-Saint Camillus International University of Health Sciences, 00131 Rome, Italy
| | - Giuseppe Annino
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Sports Engineering Laboratory, Department of Industrial Engineering, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Virginia Tancredi
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Giovanna D'Arcangelo
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
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Wang L, Qu F, Yu X, Yang S, Zhao B, Chen Y, Li P, Zhang Z, Zhang J, Han X, Wei D. Cortical lipid metabolic pathway alteration of early Alzheimer's disease and candidate drugs screen. Eur J Med Res 2024; 29:199. [PMID: 38528586 DOI: 10.1186/s40001-024-01730-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: 03/10/2022] [Accepted: 02/12/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Lipid metabolism changes occur in early Alzheimer's disease (AD) patients. Yet little is known about metabolic gene changes in early AD cortex. METHODS The lipid metabolic genes selected from two datasets (GSE39420 and GSE118553) were analyzed with enrichment analysis. Protein-protein interaction network construction and correlation analyses were used to screen core genes. Literature analysis and molecular docking were applied to explore potential therapeutic drugs. RESULTS 60 lipid metabolic genes differentially expressed in early AD patients' cortex were screened. Bioinformatics analyses revealed that up-regulated genes were mainly focused on mitochondrial fatty acid oxidation and mediating the activation of long-chain fatty acids, phosphoproteins, and cholesterol metabolism. Down-regulated genes were mainly focused on lipid transport, carboxylic acid metabolic process, and neuron apoptotic process. Literature reviews and molecular docking results indicated that ACSL1, ACSBG2, ACAA2, FABP3, ALDH5A1, and FFAR4 were core targets for lipid metabolism disorder and had a high binding affinity with compounds including adenosine phosphate, oxidized Photinus luciferin, BMS-488043, and candidate therapeutic drugs especially bisphenol A, benzo(a)pyrene, ethinyl estradiol. CONCLUSIONS AD cortical lipid metabolism disorder was associated with the dysregulation of the PPAR signaling pathway, glycerophospholipid metabolism, adipocytokine signaling pathway, fatty acid biosynthesis, fatty acid degradation, ferroptosis, biosynthesis of unsaturated fatty acids, and fatty acid elongation. Candidate drugs including bisphenol A, benzo(a)pyrene, ethinyl estradiol, and active compounds including adenosine phosphate, oxidized Photinus luciferin, and BMS-488043 have potential therapeutic effects on cortical lipid metabolism disorder of early AD.
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Affiliation(s)
- Linshuang Wang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Fengxue Qu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China
| | - Xueyun Yu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Sixia Yang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Binbin Zhao
- Institute of Gerontology, Hubei University of Chinese Medicine, Wuhan, 430065, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- BABRI Centre, Beijing Normal University, Beijing, 100875, China
| | - Pengbo Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- BABRI Centre, Beijing Normal University, Beijing, 100875, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
- BABRI Centre, Beijing Normal University, Beijing, 100875, China
| | - Junying Zhang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
- BABRI Centre, Beijing Normal University, Beijing, 100875, China.
| | - Xuejie Han
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Dongfeng Wei
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
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Paciotti S, Wojdała AL, Bellomo G, Toja A, Chipi E, Piersma SR, Pham TV, Gaetani L, Jimenez CR, Parnetti L, Chiasserini D. Potential diagnostic value of CSF metabolism-related proteins across the Alzheimer's disease continuum. Alzheimers Res Ther 2023; 15:124. [PMID: 37454217 DOI: 10.1186/s13195-023-01269-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) cerebrospinal fluid (CSF) core biomarkers (Aβ42/40 ratio, p-tau, and t-tau) provide high diagnostic accuracy, even at the earliest stage of disease. However, these markers do not fully reflect the complex AD pathophysiology. Recent large scale CSF proteomic studies revealed several new AD candidate biomarkers related to metabolic pathways. In this study we measured the CSF levels of four metabolism-related proteins not directly linked to amyloid- and tau-pathways (i.e., pyruvate kinase, PKM; aldolase, ALDO; ubiquitin C-terminal hydrolase L1, UCHL1, and fatty acid-binding protein 3, FABP3) across the AD continuum. We aimed at validating the potential value of these proteins as new CSF biomarkers for AD and their possible involvement in AD pathogenesis, with specific interest on the preclinical phase of the disease. METHODS CSF PKM and ALDO activities were measured with specific enzyme assays while UCHL1 and FABP3 levels were measured with immunoassays in a cohort of patients composed as follows: preclinical AD (pre-AD, n = 19, cognitively unimpaired), mild cognitive impairment due to AD (MCI-AD, n = 50), dementia due to AD (ADdem, n = 45), and patients with frontotemporal dementia (FTD, n = 37). Individuals with MCI not due to AD (MCI, n = 30) and subjective cognitive decline (SCD, n = 52) with negative CSF AD-profile, were enrolled as control groups. RESULTS CSF UCHL1 and FABP3 levels, and PKM activity were significantly increased in AD patients, already at the pre-clinical stage. CSF PKM activity was also increased in FTD patients compared with control groups, being similar between AD and FTD patients. No difference was found in ALDO activity among the groups. UCHL1 showed good performance in discriminating early AD patients (pre-AD and MCI-AD) from controls (AUC ~ 0.83), as assessed by ROC analysis. Similar results were obtained for FABP3. Conversely, PKM provided the best performance when comparing FTD vs. MCI (AUC = 0.80). Combination of PKM, FABP3, and UCHL1 improved the diagnostic accuracy for the detection of patients within the AD continuum when compared with single biomarkers. CONCLUSIONS Our study confirmed the potential role of UCHL1 and FABP3 as neurodegenerative biomarkers for AD. Furthermore, our results validated the increase of PKM activity in CSF of AD patients, already at the preclinical phase of the disease. Increased PKM activity was observed also in FTD patients, possibly underlining similar alterations in energy metabolism in AD and FTD.
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Affiliation(s)
- Silvia Paciotti
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Anna Lidia Wojdała
- Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Giovanni Bellomo
- Laboratory of Clinical Neurochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Andrea Toja
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Elena Chipi
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Sander R Piersma
- OncoProteomics Laboratory, Laboratory Medical Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Thang V Pham
- OncoProteomics Laboratory, Laboratory Medical Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Connie R Jimenez
- OncoProteomics Laboratory, Laboratory Medical Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
| | - Davide Chiasserini
- Section of Physiology and Biochemistry, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
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Dhiman K, Villemagne VL, Fowler C, Bourgeat P, Li Q, Collins S, Rowe CC, Masters CL, Ames D, Blennow K, Zetterberg H, Martins RN, Gupta V. Cerebrospinal fluid levels of fatty acid-binding protein 3 are associated with likelihood of amyloidopathy in cognitively healthy individuals. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12377. [PMID: 36479019 PMCID: PMC9719998 DOI: 10.1002/dad2.12377] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 10/05/2022] [Accepted: 10/19/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Fatty acid-binding protein 3 (FABP3) is a biomarker of neuronal membrane disruption, associated with lipid dyshomeostasis-a notable Alzheimer's disease (AD) pathophysiological change. We assessed the association of cerebrospinal fluid (CSF) FABP3 levels with brain amyloidosis and the likelihood/risk of developing amyloidopathy in cognitively healthy individuals. METHODS FABP3 levels were measured in CSF samples of cognitively healthy participants, > 60 years of age (n = 142), from the Australian Imaging, Biomarkers & Lifestyle Flagship Study of Ageing (AIBL). RESULTS FABP3 levels were positively associated with baseline brain amyloid beta (Aβ) load as measured by standardized uptake value ratio (SUVR, standardized β = 0.22, P = .009) and predicted the change in brain Aβ load (standardized β = 0.32, P = .004). Higher levels of CSF FABP3 (above median) were associated with a likelihood of amyloidopathy (odds ratio [OR] 2.28, 95% confidence interval [CI] 1.12 to 4.65, P = .023). DISCUSSION These results support inclusion of CSF FABP3 as a biomarker in risk-prediction models of AD.
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Affiliation(s)
- Kunal Dhiman
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,Western Health PartnershipSchool of Nursing and Midwifery (Centre for Quality and Patient Safety Research in the Institute of Health Transformation)Faculty of HealthDeakin UniversityMelbourneVictoriaAustralia,School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
| | - Victor L. Villemagne
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA,Department of Molecular Imaging & Therapy and Centre for PETAustin HealthHeidelbergVictoriaAustralia,Department of MedicineThe University of MelbourneMelbourneVictoriaAustralia
| | - Christopher Fowler
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Pierrick Bourgeat
- Australian e‐Health Research CentreCSIRO Health and BiosecurityBrisbaneQueenslandAustralia
| | - Qiao‐Xin Li
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Steven Collins
- Department of MedicineThe University of MelbourneMelbourneVictoriaAustralia,The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Christopher C. Rowe
- Department of Molecular Imaging & Therapy and Centre for PETAustin HealthHeidelbergVictoriaAustralia,Department of MedicineThe University of MelbourneMelbourneVictoriaAustralia
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - David Ames
- National Ageing Research InstituteParkvilleVictoriaAustralia,Academic Unit for Psychiatry of Old ageSt. George's HospitalThe University of MelbourneMelbourneVictoriaAustralia
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiologythe Sahlgrenska Academy at the University of GothenburgGothenburgSweden,Clinical Neurochemistry LaboratorySahlgrenska University HospitalGothenburgSweden,Department of Neurodegenerative DiseaseUCL Queen Square Institute of NeurologyLondonUK,UK Dementia Research Institute at UCLLondonUK,Hong Kong Center for Neurodegenerative DiseasesHong KongChina
| | - Ralph N. Martins
- School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia,Australian Alzheimer's Research FoundationRalph and Patricia Sarich Neuroscience Research InstituteNedlandsWestern AustraliaAustralia,Department of Biomedical SciencesMacquarie UniversitySydneyNew South WalesAustralia,School of Psychiatry and Clinical NeurosciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia,KaRa Institute of Neurological DiseasesSydneyNew South WalesAustralia,Co‐operative Research Centre for Mental HealthCarltonVictoriaAustralia
| | - Veer Gupta
- IMPACT – The Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineDeakin UniversityGeelongVictoriaAustralia,School of Medical and Health SciencesEdith Cowan UniversityJoondalupWestern AustraliaAustralia
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Zhou X, Zhou S, Tao J, Gao Y, Meng G, Cao D, Gao L. HIV-1 Tat drives the Fabp4/NF-κB feedback loop in microglia to mediate inflammatory response and neuronal apoptosis. J Neurovirol 2022; 28:483-496. [PMID: 36070137 DOI: 10.1007/s13365-022-01094-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/02/2022] [Accepted: 08/23/2022] [Indexed: 01/13/2023]
Abstract
Fatty acid-binding proteins (FABPs) are relevant to multiple neurodegenerative diseases. However, the roles and mechanisms of FABPs in HIV-associated neurocognitive disorder (HAND) remain yet unclear. In this study, cultured BV-2 microglial cells and HT-22 neuronal cells were used for in vitro experiments and HAND mouse models were constructed through intracerebroventricular injection of lentiviral vectors for in vivo experiments. FABP expression was determined using quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western blot. The interrelationship between Fabp4 and NF-κB signaling was investigated using chromatin immunoprecipitation, qRT-PCR, and Western blot. The role of Fabp4 in regulating inflammatory response was determined using qRT-PCR, enzyme-linked immunosorbent assay, Western blot, and immunofluorescence staining. Cell viability and apoptosis were analyzed using cell counting kit-8 assay and flow cytometry assay, respectively. Our results suggested an upregulation of Fabp4 expression in the presence of Tat. Tat-induced Fabp4 expression was directly regulated by NF-κB p65, followed by, Fabp4 facilitating Tat-activated NF-κB signaling pathway. We also observed that Fabp4 knockdown in microglial cells significantly suppressed inflammatory response and neuronal apoptosis both in vitro and in vivo. In conclusion, the presence of Tat in microglial cells results in Fabp4 and NF-κB to form a positive feedback loop leading to exacerbate inflammatory response and neuronal apoptosis.
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Affiliation(s)
- Xiaodan Zhou
- Department of Hematology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Shuhui Zhou
- Department of Oncology, Nantong Hospital of Traditional Chinese Medicine, Affiliated Traditional Chinese Medicine Hospital of Nantong University, Nantong, 226001, People's Republic of China
| | - Jian Tao
- Department of Hematology, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Yanan Gao
- Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, People's Republic of China
| | - Gaoqiang Meng
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Nantong, 226001, People's Republic of China
| | - Duo Cao
- College of Life Science, Yan'an University, Yan'an, 716000, People's Republic of China.
| | - Lin Gao
- Medical Research Center, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, Haier Lane North Road No. 6, Nantong, 226001, Jiangsu, People's Republic of China.
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Santos F, Cabreira V, Rocha S, Massano J. Blood Biomarkers for the Diagnosis of Neurodegenerative Dementia: A Systematic Review. J Geriatr Psychiatry Neurol 2022:8919887221141651. [PMID: 36423207 DOI: 10.1177/08919887221141651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
IMPORTANCE Accurately diagnosing neurodegenerative dementia is often challenging due to overlapping clinical features. Disease specific biomarkers could enhance diagnostic accuracy. However, CSF analysis procedures and advanced imaging modalities are either invasive or high-priced, and routinely unavailable. Easily accessible disease biomarkers would be of utmost value for accurate differential diagnosis of dementia subtypes. OBJECTIVE To assess the diagnostic accuracy of blood-based biomarkers for the differential diagnosis of AD from Frontotemporal Lobar Degeneration (FTLD), or AD from Dementia with Lewy Bodies (DLB). METHODS Systematic review. Three databases (PubMed, Scopus, and Web of Science) were searched. Studies assessing blood-based biomarkers levels in AD versus FTLD, or AD versus DLB, and its diagnostic accuracy, were selected. When the same biomarker was assessed in three or more studies, a meta-analysis was performed. QUADAS-2 criteria were used for quality assessment. RESULTS Twenty studies were included in this analysis. Collectively, 905 AD patients were compared to 1262 FTLD patients, and 209 AD patients were compared to 246 DLB patients. Regarding biomarkers for AD versus FTLD, excellent discriminative accuracy (AUC >0.9) was found for p-tau181, p-tau217, synaptophysin, synaptopodin, GAP43 and calmodulin. Other biomarkers also demonstrated good accuracy (AUC = 0.8-0.9). For AD versus DLB distinction, only miR-21-5p and miR-451a achieved excellent accuracy (AUC >0.9). CONCLUSION Encouraging results were found for several biomarkers, alone or in combination. Prospective longitudinal designs and consensual protocols, comprising larger cohorts and homogeneous testing modalities across centres, are essential to validate the clinical value of blood biomarkers for the precise etiological diagnosis of dementia.
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Affiliation(s)
- Filipa Santos
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - Verónica Cabreira
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Sara Rocha
- iLoF - Intelligent Lab on Fiber, Oxford, UK.,Department of Biochemistry, 26705Faculty of Medicine University of Porto, Porto, Portugal
| | - João Massano
- Department of Clinical Neurosciences and Mental Health, 26705Faculty of Medicine University of Porto, Porto, Portugal.,Department of Neurology, 285211Centro Hospitalar Universitário de São João, Porto, Portugal
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Fu Y, Wang ZT, Huang LY, Tan CC, Cao XP, Tan L. Heart fatty acid-binding protein is associated with phosphorylated tau and longitudinal cognitive changes. Front Aging Neurosci 2022; 14:1008780. [PMID: 36299612 PMCID: PMC9588952 DOI: 10.3389/fnagi.2022.1008780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 09/21/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPerturbation of lipid metabolism is associated with Alzheimer’s disease (AD). Heart fatty acid-binding protein (HFABP) is an adipokine playing an important role in lipid metabolism regulation.Materials and methodsTwo datasets separately enrolled 303 and 197 participants. First, we examine the associations of cerebrospinal fluid (CSF) HFABP levels with cognitive measures [including Mini-Mental State Examination (MMSE), Clinical Dementia Rating sum of boxes (CDRSB), and the cognitive section of Alzheimer’s Disease Assessment Scale] and AD biomarkers (CSF amyloid beta and tau levels). Second, we examine the longitudinal associations of baseline CSF HFABP levels and the variability of HFABP with cognitive measures and AD biomarkers. Structural equation models explored the mediation effects of AD pathologies on cognition.ResultsWe found a significant relationship between CSF HFABP level and P-tau (dataset 1: β = 2.04, p < 0.001; dataset 2: β = 1.51, p < 0.001). We found significant associations of CSF HFABP with longitudinal cognitive measures (dataset 1: ADAS13, β = 0.09, p = 0.008; CDRSB, β = 0.10, p = 0.003; MMSE, β = −0.15, p < 0.001; dataset 2: ADAS13, β = 0.07, p = 0.004; CDRSB, β = 0.07, p = 0.005; MMSE, β = −0.09, p < 0.001) in longitudinal analysis. The variability of HFABP was associated with CSF P-tau (dataset 2: β = 3.62, p = 0.003). Structural equation modeling indicated that tau pathology mediated the relationship between HFABP and cognition.ConclusionOur findings demonstrated that HFABP was significantly associated with longitudinal cognitive changes, which might be partially mediated by tau pathology.
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Affiliation(s)
- Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- *Correspondence: Zuo-Teng Wang,
| | - Liang-Yu Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Chen-Chen Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xi-Peng Cao
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
- Lan Tan,
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8
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Cheng Y, Jian JM, He CY, Ren JR, Xu MY, Jin WS, Tan CR, Zeng GH, Shen YY, Chen DW, Li HY, Yi X, Zhang Y, Zeng F, Wang YJ. The Correlations of Plasma Liver-Type Fatty Acid-Binding Protein with Amyloid-β and Tau Levels in Patients with Alzheimer’s Disease. J Alzheimers Dis 2022; 88:375-383. [PMID: 35599489 DOI: 10.3233/jad-220126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The dysregulation of lipid metabolism plays an important role in the pathogenesis of Alzheimer’s disease (AD). Liver-type fatty acid-binding protein (L-FABP, also known as FABP1) is critical for fatty acid transport and may be involved in AD. Objective: To investigate whether the FABP1 level is altered in patients with AD, and its associations with levels of amyloid-β (Aβ) and tau in the plasma and cerebrospinal fluid (CSF). Methods: A cross-sectional study was conducted in a Chinese cohort consisting of 39 cognitively normal controls and 47 patients with AD. The levels of FABP1 in plasma, and Aβ and tau in CSF, were measured by enzyme-linked immunosorbent assay (ELISA). A single-molecule array (SIMOA) was used to detect plasma Aβ levels. Results: The level of plasma FABP1 was significantly elevated in the AD group (p = 0.0109). Further analysis showed a positive correlation of FABP1 with CSF total tau (t-tau) and phosphorylated tau (p-tau) levels. Besides, plasma FABP1/Aβ 42 (AUC = 0.6794, p = 0.0071) and FABP1/t-tau (AUC = 0.7168, p = 0.0011) showed fair diagnostic efficacy for AD. When combined with other common AD biomarkers including plasma Aβ 42, Aβ 40, and t-tau, both FABP1/Aβ 42 and FABP1/t-tau showed better diagnostic efficacy than using these biomarkers alone. Among all AUC analyses, the combination of plasma FABP1/t-tau and Aβ 42 had the highest diagnostic value (AUC = 0.8075, p < 0.0001). Conclusion: These findings indicate that FABP1 may play a role in AD pathogenesis and be worthy of further investigation in the future.
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Affiliation(s)
- Yuan Cheng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Jie-Ming Jian
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Chen-Yang He
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Jun-Rong Ren
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Man-Yu Xu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Wang-Sheng Jin
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Cheng-Rong Tan
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Gui-Hua Zeng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Ying-Ying Shen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Dong-Wan Chen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Hui-Yun Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Xu Yi
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Yuan Zhang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Fan Zeng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
- Institute of Brain and Intelligence, Third Military Medical University, Chongqing, China
- Chongqing Key Laboratory of Ageing and Brain Diseases, Chongqing, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
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9
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Relationship between cerebrospinal fluid neurodegeneration biomarkers and temporal brain atrophy in cognitively healthy older adults. Neurobiol Aging 2022; 116:80-91. [DOI: 10.1016/j.neurobiolaging.2022.04.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 04/05/2022] [Accepted: 04/14/2022] [Indexed: 12/30/2022]
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10
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Clark AL, Haley AP, Duarte A, O’Bryant S. Fatty Acid-Binding Protein 3 Is a Marker of Neurodegeneration and White Matter Hyperintensity Burden in Mexican American Older Adults. J Alzheimers Dis 2022; 90:61-68. [PMID: 36093702 PMCID: PMC11234903 DOI: 10.3233/jad-220524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We examined ethnoracial differences in fatty acid binding protein (FABP)-a family of intracellular lipid carriers-and clarified FABP3 associations with gray and white matter. Relative to Mexican Americans (MAs), FABP3 was higher in Non-Hispanic Whites (NHWS, p < 0.001). Regressions revealed, independent of traditional AD markers, FABP3 was associated with neurodegeneration (B = -0.08, p = 0.003) and WMH burden (B = 0.18, p = 0.03) in MAs, but not in NHWs (ps > 0.18). Findings suggest FABP3 is related to neural health within MAs and highlight its potential as a prognostic marker of brain health in ethnoracially diverse older adults.
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Affiliation(s)
- Alexandra L. Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Andreanna P. Haley
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Audrey Duarte
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Sid O’Bryant
- Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA
- Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
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11
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Esteban de Antonio E, Pérez-Cordón A, Gil S, Orellana A, Cano A, Alegret M, Espinosa A, Alarcón-Martín E, Valero S, Martínez J, de Rojas I, Sotolongo-Grau Ó, Martín E, Vivas A, Gomez-Chiari M, Tejero MÁ, Bernuz M, Tárraga L, Ruiz A, Marquié M, Boada M. BIOFACE: A Prospective Study of Risk Factors, Cognition, and Biomarkers in a Cohort of Individuals with Early-Onset Mild Cognitive Impairment. Study Rationale and Research Protocols. J Alzheimers Dis 2021; 83:1233-1249. [PMID: 34420953 PMCID: PMC8543256 DOI: 10.3233/jad-210254] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background: Mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) diagnosis is based on cerebrospinal fluid (CSF) or neuroimaging biomarkers. Currently, non-invasive and inexpensive blood-based biomarkers are being investigated, such as neuronal-derived plasma exosomes (NPEs). Neuroinflammation and early vascular changes have been described in AD pathogenesis and can be traced in plasma and NPEs. However, they have not been studied in early onset MCI (EOMCI). Objective: To describe the rationale, design, and baseline characteristics of the participants from the BIOFACE cohort, a two-year observational study on EOMCI conducted at Fundació ACE. The study goal is to characterize the different phenotypes from a clinical, neuropsychological, and biomarker point of view and to investigate the CSF and plasma proteomics as well as the role of NPEs as early biomarkers of AD. Methods: Participants underwent extended neurological and neuropsychological batteries, multimodal biomarkers including brain MRI, blood, saliva, CSF, anthropometric, and neuro-ophthalmological examinations. Results: Ninety-seven patients with EOMCI were recruited. 59.8%were women. Mean age at symptom onset was 57 years; mean MMSE was 28. First degree and presenile family history of dementia was present in 60.8%and 15.5%, respectively. Depressive and anxiety disorders along with vascular risk factors were the most frequent comorbidities. 29%of participants were APOE ɛ4 carriers, and 67%showed a CSF normal ATN profile. Conclusion: BIOFACE is a two-year study of clinical, cognition, and biomarkers that will shed light on the physiopathology and the potential utility of plasma and NPEs as non-invasive early diagnostic and prognostic biomarkers in people younger than 65 years.
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Affiliation(s)
- Ester Esteban de Antonio
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Alba Pérez-Cordón
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Silvia Gil
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Adelina Orellana
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Amanda Cano
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Montserrat Alegret
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Espinosa
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Emilio Alarcón-Martín
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Sergi Valero
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Joan Martínez
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Óscar Sotolongo-Grau
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Elvira Martín
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Assumpta Vivas
- Departament de Diagnòstic per la Imatge, Clínica Corachan, Barcelona, Spain
| | - Marta Gomez-Chiari
- Departament de Diagnòstic per la Imatge, Clínica Corachan, Barcelona, Spain
| | | | - Mireia Bernuz
- Grup de Sensors i Biosensors, Departament de Química, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Lluis Tárraga
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Agustín Ruiz
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Marquié
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic, Fundació ACE, Institut Catalá de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain.,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
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12
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Pan L, Ou YN, Tan L, Tan L, Yu JT. Cerebrospinal fluid heart fatty acid‐binding protein as a predictive biomarker of neurodegeneration in Alzheimer’s disease. BRAIN SCIENCE ADVANCES 2021. [DOI: 10.26599/bsa.2021.9050003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Objective This study aims to investigate whether the heart fatty acid‐binding protein (HFABP) in the cerebrospinal fluid (CSF) was a potential predictive biomarker for Alzheimer’s disease (AD). Methods We evaluated the associations of CSF HFABP levels with core biomarkers, cognition, and brain structure in a sample population ( n = 302) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Multiple linear regression and mixed‐effects models were employed in the analyses. AD progression was assessed using the Kaplan–Meier survival analysis. Results CSF HFABP was higher in patients with mild cognitive impairment and AD than the normal controls ( p < 0.001) and was particularly higher in those with amyloid‐β (Aβ) pathologic features. CSF HFABP was associated with higher baseline CSF t‐tau ( p < 0.001), CSF p‐tau ( p < 0.001), and CSF t‐tau/Aβ42 and CSF p‐tau/Aβ42 ( p < 0.01). Moreover, CSF HFABP was found to play predictive roles in hippocampal atrophy ( p < 0.01), cognitive decline ( p < 0.05), and the risk of AD ( p < 0.001). Conclusion Our findings suggest that CSF HFABP can be a predictive biomarker of AD.
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Affiliation(s)
- Lu Pan
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, Shandong, China
| | - Lin Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, Shandong, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian 116044, Liaoning, China
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao 266071, Shandong, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
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13
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Fatty Acid Binding Protein 3 (FABP3) and Apolipoprotein E4 (ApoE4) as Lipid Metabolism-Related Biomarkers of Alzheimer's Disease. J Clin Med 2021; 10:jcm10143009. [PMID: 34300173 PMCID: PMC8303862 DOI: 10.3390/jcm10143009] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/30/2021] [Accepted: 07/03/2021] [Indexed: 02/07/2023] Open
Abstract
Background: Lipid metabolism-related biomarkers gain increasing researchers interest in the field of neurodegenerative disorders. Mounting evidence have indicated the role of fatty acid-binding proteins and pathology lipid metabolism in Alzheimer’s Disease (AD). The imbalance of fatty acids (FA) and lipids may negatively affect brain functions related to neurodegenerative disorders. The ApoE4 and FABP3 proteins may reflect processes leading to neurodegeneration. This study aimed to evaluate the relationship between the CSF levels of FABP3 and ApoE4 proteins and cognitive decline as well as the diagnostic performance of these candidate biomarkers in AD and mild cognitive impairment (MCI). Methods: A total of 70 subjects, including patients with AD, MCI, and non-demented controls, were enrolled in the study. CSF concentrations of FABP3 and ApoE4 were measured using immunoassay technology. Results: Significantly higher CSF concentrations of FABP3 and ApoE4 were observed in AD patients compared to MCI subjects and individuals without cognitive impairment. Both proteins were inversely associated with Aβ42/40 ratio: ApoE4 (rho = −0.472, p < 0.001), and FABP3 (rho = −0.488, p < 0.001) in the whole study group, respectively. Additionally, FABP3 was negatively correlated with Mini-Mental State Examination score in the whole study cohort (rho = −0.585 p < 0.001). Conclusion: Presented results indicate the pivotal role of FABP3 and ApoE4 in AD pathology as lipid-related biomarkers, but studies on larger cohorts are needed.
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14
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Marcucci V, Kleiman J. Biomarkers and Their Implications in Alzheimer’s Disease: A Literature Review. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2021; 000:000-000. [DOI: 10.14218/erhm.2021.00016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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15
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Libiger O, Shaw LM, Watson MH, Nairn AC, Umaña KL, Biarnes MC, Canet-Avilés RM, Jack CR, Breton YA, Cortes L, Chelsky D, Spellman DS, Baker SA, Raghavan N, Potter WZ. Longitudinal CSF proteomics identifies NPTX2 as a prognostic biomarker of Alzheimer's disease. Alzheimers Dement 2021; 17:1976-1987. [PMID: 33984181 PMCID: PMC9222372 DOI: 10.1002/alz.12353] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/11/2021] [Accepted: 03/18/2021] [Indexed: 12/13/2022]
Abstract
Introduction: Biomarkers that reflect pathologic processes affecting neuronal function during preclinical and early stages of Alzheimer's disease (AD) are needed to aid drug development. Methods: A targeted, stable isotope, quantitative mass spectrometry‐based investigation of longitudinal changes in concentrations of previously identified candidate biomarkers was performed in cerebrospinal fluid (CSF) of Alzheimer's Disease Neuroimaging Initiative participants who were classified as cognitively normal (CN; n = 76) or with mild cognitive impairment (MCI; n = 111) at baseline. Results: Of the candidate biomarkers, the CSF concentration of neuronal pentraxin 2 (NPTX2), a protein involved in synaptic function, exhibited rates of change that were significantly different between three comparison groups (i.e., CN vs. MCI participants; AD pathology positive vs. negative defined by phosphorylated tau181/amyloid beta1‐42 ratio; and clinical progressors vs. non‐progressors). The rate of change of NPTX2 also significantly correlated with declining cognition. Discussion: CSF NPTX2 concentration is a strong prognostic biomarker candidate of accelerated cognitive decline with potential use as a therapeutic target.
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Affiliation(s)
- Ondrej Libiger
- Janssen Research and Development, San Diego, California, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Angus C Nairn
- Yale University School of Medicine, New Haven, Connecticut, USA
| | - Kelly L Umaña
- Foundation for the National Institutes of Health, North Bethesda, Maryland, USA
| | - Michael C Biarnes
- Foundation for the National Institutes of Health, North Bethesda, Maryland, USA
| | - Rosa M Canet-Avilés
- Foundation for the National Institutes of Health, North Bethesda, Maryland, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | | | | | - Susan A Baker
- Janssen Research and Development, Titusville, New Jersey, USA
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16
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Berger M, Cooter M, Roesler AS, Chung S, Park J, Modliszewski JL, VanDusen KW, Thompson JW, Moseley A, Devinney MJ, Smani S, Hall A, Cai V, Browndyke JN, Lutz MW, Corcoran DL. APOE4 Copy Number-Dependent Proteomic Changes in the Cerebrospinal Fluid. J Alzheimers Dis 2020; 79:511-530. [PMID: 33337362 PMCID: PMC7902966 DOI: 10.3233/jad-200747] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background: APOE4 has been hypothesized to increase Alzheimer’s disease risk by increasing neuroinflammation, though the specific neuroinflammatory pathways involved are unclear. Objective: Characterize cerebrospinal fluid (CSF) proteomic changes related to APOE4 copy number. Methods: We analyzed targeted proteomic data from ADNI CSF samples using a linear regression model adjusting for age, sex, and APOE4 copy number, and additional linear models also adjusting for AD clinical status or for CSF Aβ, tau, or p-tau levels. False discovery rate was used to correct for multiple comparisons correction. Results: Increasing APOE4 copy number was associated with a significant decrease in a CRP peptide level across all five models (q < 0.05 for each), and with significant increases in ALDOA, CH3L1 (YKL-40), and FABPH peptide levels (q < 0.05 for each) except when controlling for AD clinical status or neurodegeneration biomarkers (i.e., CSF tau or p-tau). In all models except the one controlling for CSF Aβ levels, though not statistically significant, there was a consistent inverse direction of association between APOE4 copy number and the levels of all 24 peptides from all 8 different complement proteins measured. The odds of this happening by chance for 24 unrelated peptides would be less than 1 in 16 million. Conclusion: Increasing APOE4 copy number was associated with decreased CSF CRP levels across all models, and increased CSF ALDOA, CH3L1, and FABH levels when controlling for CSF Aβ levels. Increased APOE4 copy number may also be associated with decreased CSF complement pathway protein levels, a hypothesis for investigation in future studies.
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Affiliation(s)
- Miles Berger
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Durham, NC, USA.,Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA
| | - Mary Cooter
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Alexander S Roesler
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Stacey Chung
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - John Park
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | | | - Keith W VanDusen
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - J Will Thompson
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Arthur Moseley
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
| | - Michael J Devinney
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Shayan Smani
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Ashley Hall
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Victor Cai
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA.,Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
| | - Jeffrey N Browndyke
- Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Durham, NC, USA.,Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC, USA.,Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Michael W Lutz
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
| | - David L Corcoran
- Duke Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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17
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Tarawneh R. Biomarkers: Our Path Towards a Cure for Alzheimer Disease. Biomark Insights 2020; 15:1177271920976367. [PMID: 33293784 PMCID: PMC7705771 DOI: 10.1177/1177271920976367] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/13/2020] [Indexed: 12/12/2022] Open
Abstract
Over the last decade, biomarkers have significantly improved our understanding of
the pathophysiology of Alzheimer disease (AD) and provided valuable tools to
examine different disease mechanisms and their progression over time. While
several markers of amyloid, tau, neuronal, synaptic, and axonal injury,
inflammation, and immune dysregulation in AD have been identified, there is a
relative paucity of biomarkers which reflect other disease mechanisms such as
oxidative stress, mitochondrial injury, vascular or endothelial injury, and
calcium-mediated excitotoxicity. Importantly, there is an urgent need to
standardize methods for biomarker assessments across different centers, and to
identify dynamic biomarkers which can monitor disease progression over time
and/or response to potential disease-modifying treatments. The updated research
framework for AD, proposed by the National Institute of Aging- Alzheimer’s
Association (NIA-AA) Work Group, emphasizes the importance of incorporating
biomarkers in AD research and defines AD as a biological construct consisting of
amyloid, tau, and neurodegeneration which spans pre-symptomatic and symptomatic
stages. As results of clinical trials of AD therapeutics have been
disappointing, it has become increasingly clear that the success of future AD
trials will require the incorporation of biomarkers in participant selection,
prognostication, monitoring disease progression, and assessing response to
treatments. We here review the current state of fluid AD biomarkers, and discuss
the advantages and limitations of the updated NIA-AA research framework.
Importantly, the integration of biomarker data with clinical, cognitive, and
imaging domains through a systems biology approach will be essential to
adequately capture the molecular, genetic, and pathological heterogeneity of AD
and its spatiotemporal evolution over time.
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Affiliation(s)
- Rawan Tarawneh
- Department of Neurology, The Ohio State University, Columbus, OH, USA
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18
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Ausó E, Gómez-Vicente V, Esquiva G. Biomarkers for Alzheimer's Disease Early Diagnosis. J Pers Med 2020; 10:E114. [PMID: 32899797 PMCID: PMC7563965 DOI: 10.3390/jpm10030114] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/27/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, affecting the central nervous system (CNS) through the accumulation of intraneuronal neurofibrillary tau tangles (NFTs) and β-amyloid plaques. By the time AD is clinically diagnosed, neuronal loss has already occurred in many brain and retinal regions. Therefore, the availability of early and reliable diagnosis markers of the disease would allow its detection and taking preventive measures to avoid neuronal loss. Current diagnostic tools in the brain, such as magnetic resonance imaging (MRI), positron emission tomography (PET) imaging, and cerebrospinal fluid (CSF) biomarkers (Aβ and tau) detection are invasive and expensive. Brain-secreted extracellular vesicles (BEVs) isolated from peripheral blood have emerged as novel strategies in the study of AD, with enormous potential as a diagnostic evaluation of therapeutics and treatment tools. In addition; similar mechanisms of neurodegeneration have been demonstrated in the brain and the eyes of AD patients. Since the eyes are more accessible than the brain, several eye tests that detect cellular and vascular changes in the retina have also been proposed as potential screening biomarkers. The aim of this study is to summarize and discuss several potential markers in the brain, eye, blood, and other accessible biofluids like saliva and urine, and correlate them with earlier diagnosis and prognosis to identify individuals with mild symptoms prior to dementia.
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Affiliation(s)
| | | | - Gema Esquiva
- Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 Alicante, Spain; (E.A.); (V.G.-V.)
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19
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Neerland BE, Halaas NB, Idland AV, Henjum K, Blennow K, Zetterberg H, Watne LO. Fatty Acid-Binding Protein 3 in Cerebrospinal Fluid of Hip Fracture Patients with Delirium. J Alzheimers Dis 2020; 77:183-190. [PMID: 32804136 DOI: 10.3233/jad-200364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Delirium is associated with dementia and thus biomarkers reflecting neurodegeneration are of interest. Fatty acid-binding protein 3 (FABP3) is a cytoplasmic neuronal protein that has been isolated from the brain. It is released following brain injury and concentrations in cerebrospinal fluid (CSF) are also higher in neurodegenerative disorders such as Alzheimer's disease (AD). OBJECTIVE To examine the relationship between CSF FABP3 concentration and delirium in hip fracture patients compared to a group of cognitively normal controls. METHODS CFS FABP3 concentration was measured in 128 hip fracture patients with (n = 71) and without (n = 57) delirium, and in cognitively unimpaired adults ≥64 years (n = 124) undergoing elective surgery. RESULTS CSF FABP3 (pg/ml) concentration (median (IQR)) was higher in hip-fracture patients compared to cognitively normal controls (5.7 (4.2-7.7) versus 4.5 (3.4-6.1), p < 0.001). There was a significant weak correlation between age and CSF FABP3 (ρ= 0.3, p < 0.001). After adjustment for age, the association between CSF FABP3 and hip-fracture was no longer statistically significant (β= 0.05, p = 0.5). There were no significant differences in CSF FABP3 concentration between hip fracture patients with (5.4 (4.1-8.2)) and without (5.8 (4.2-7.2)) delirium. CSF FABP3 concentration correlated positively with CSF AD biomarkers p-tau (ρ= 0.7, p < 0.01) and t-tau (ρ= 0.7, p < 0.01). CONCLUSION CSF FABP3 concentrations were higher in hip fracture patients compared with cognitively normal older adults, indicating ongoing age-related neurodegeneration in these patients. There were no differences of CSF FABP3 concentrations across delirium groups, suggesting that neuronal damage or degeneration reflected by FABP3 may not be directly linked to delirium pathophysiology.
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Affiliation(s)
| | - Nathalie Bodd Halaas
- Oslo Delirium Research Group, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ane Victoria Idland
- Oslo Delirium Research Group, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristi Henjum
- Oslo Delirium Research Group, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Oslo University Hospital, Oslo, Norway
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20
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Chaudhry A, Houlden H, Rizig M. Novel fluid biomarkers to differentiate frontotemporal dementia and dementia with Lewy bodies from Alzheimer's disease: A systematic review. J Neurol Sci 2020; 415:116886. [PMID: 32428759 DOI: 10.1016/j.jns.2020.116886] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 04/16/2020] [Accepted: 05/04/2020] [Indexed: 12/12/2022]
Abstract
RATIONALE Frontotemporal dementia (FTD) and dementia with Lewy bodies (DLB) are two common forms of neurodegenerative dementia, subsequent to Alzheimer's disease (AD). AD is the only dementia that includes clinically validated cerebrospinal fluid (CSF) biomarkers in the diagnostic criteria. FTD and DLB often overlap with AD in their clinical and pathological features, making it challenging to differentiate between these conditions. AIM This systematic review aimed to identify if novel fluid biomarkers are useful in differentiating FTD and DLB from AD. Increasing the certainty of the differentiation between dementia subtypes would be advantageous clinically and in research. METHODS PubMed and Scopus were searched for studies that quantified and assessed diagnostic accuracy of novel fluid biomarkers in clinically diagnosed patients with FTD or DLB, in comparison to patients with AD. Meta-analyses were performed on biomarkers that were quantified in 3 studies or more. RESULTS The search strategy yielded 614 results, from which, 27 studies were included. When comparing bio-fluid levels in AD and FTD patients, neurofilament light chain (NfL) level was often higher in FTD, whilst brain soluble amyloid precursor protein β (sAPPβ) was higher in patients with AD. When comparing bio-fluid levels in AD and DLB patients, α-synuclein ensued heterogeneous findings, while the noradrenaline metabolite (MHPG) was found to be lower in DLB. Ratios of Aβ42/Aβ38 and Aβ42/Aβ40 were lower in AD than FTD and DLB and offered better diagnostic accuracy than raw amyloid-β (Aβ) concentrations. CONCLUSIONS Several promising novel biomarkers were highlighted in this review. Combinations of fluid biomarkers were more often useful than individual biomarkers in distinguishing subtypes of dementia. Considering the heterogeneity in methods and results between the studies, further validation, ideally with longitudinal prospective designs with large sample sizes and unified protocols, are fundamental before conclusions can be finalised.
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Affiliation(s)
- Aiysha Chaudhry
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London WC1N 3BG, United Kingdom
| | - Henry Houlden
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London WC1N 3BG, United Kingdom
| | - Mie Rizig
- UCL Queen Square Institute of Neurology, University College London, Queen Square, London WC1N 3BG, United Kingdom.
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21
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Ashton NJ, Hye A, Rajkumar AP, Leuzy A, Snowden S, Suárez-Calvet M, Karikari TK, Schöll M, La Joie R, Rabinovici GD, Höglund K, Ballard C, Hortobágyi T, Svenningsson P, Blennow K, Zetterberg H, Aarsland D. An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders. Nat Rev Neurol 2020; 16:265-284. [PMID: 32322100 DOI: 10.1038/s41582-020-0348-0] [Citation(s) in RCA: 106] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2020] [Indexed: 01/11/2023]
Abstract
Cerebrospinal fluid analyses and neuroimaging can identify the underlying pathophysiology at the earliest stage of some neurodegenerative disorders, but do not have the scalability needed for population screening. Therefore, a blood-based marker for such pathophysiology would have greater utility in a primary care setting and in eligibility screening for clinical trials. Rapid advances in ultra-sensitive assays have enabled the levels of pathological proteins to be measured in blood samples, but research has been predominantly focused on Alzheimer disease (AD). Nonetheless, proteins that were identified as potential blood-based biomarkers for AD, for example, amyloid-β, tau, phosphorylated tau and neurofilament light chain, are likely to be relevant to other neurodegenerative disorders that involve similar pathological processes and could also be useful for the differential diagnosis of clinical symptoms. This Review outlines the neuropathological, clinical, molecular imaging and cerebrospinal fluid features of the most common neurodegenerative disorders outside the AD continuum and gives an overview of the current status of blood-based biomarkers for these disorders.
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Affiliation(s)
- Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, 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
| | - Abdul Hye
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, 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
| | - Anto P Rajkumar
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, 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.,Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Stuart Snowden
- Core Metabolomics and Lipidomics Laboratory, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - Marc Suárez-Calvet
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Catalonia, Spain.,Department of Neurology, Hospital del Mar, Barcelona, Catalonia, Spain
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Renaud La Joie
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Kina Höglund
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Disease Research, Neurogeriatrics Division, Karolinska Institutet, Novum, Huddinge, Stockholm, Sweden
| | | | - Tibor Hortobágyi
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,MTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Per Svenningsson
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK.,Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, 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. .,Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway.
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22
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Biomarker profiling beyond amyloid and tau: cerebrospinal fluid markers, hippocampal atrophy, and memory change in cognitively unimpaired older adults. Neurobiol Aging 2020; 93:1-15. [PMID: 32438258 DOI: 10.1016/j.neurobiolaging.2020.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Revised: 03/30/2020] [Accepted: 04/06/2020] [Indexed: 01/25/2023]
Abstract
Brain changes occurring in aging can be indexed by biomarkers. We used cluster analysis to identify subgroups of cognitively unimpaired individuals (n = 99, 64-93 years) with different profiles of the cerebrospinal fluid biomarkers beta amyloid 1-42 (Aβ42), phosphorylated tau (P-tau), total tau, chitinase-3-like protein 1 (YKL-40), fatty acid binding protein 3 (FABP3), and neurofilament light (NFL). Hippocampal volume and memory were assessed across multiple follow-up examinations covering up to 6.8 years. Clustering revealed one group (39%) with more pathological concentrations of all biomarkers, which could further be divided into one group (20%) characterized by tauopathy and high FABP3 and one (19%) by brain β-amyloidosis, high NFL, and slightly higher YKL-40. The clustering approach clearly outperformed classification based on Aβ42 and P-tau alone in prediction of memory decline, with the individuals with most tauopathy and FABP3 showing more memory decline, but not more hippocampal volume change. The results demonstrate that older adults can be classified based on biomarkers beyond amyloid and tau, with improved prediction of memory decline.
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23
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Kubis-Kubiak A, Dyba A, Piwowar A. The Interplay between Diabetes and Alzheimer's Disease-In the Hunt for Biomarkers. Int J Mol Sci 2020; 21:ijms21082744. [PMID: 32326589 PMCID: PMC7215807 DOI: 10.3390/ijms21082744] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/09/2020] [Accepted: 04/12/2020] [Indexed: 02/07/2023] Open
Abstract
The brain is an organ in which energy metabolism occurs most intensively and glucose is an essential and dominant energy substrate. There have been many studies in recent years suggesting a close relationship between type 2 diabetes mellitus (T2DM) and Alzheimer’s disease (AD) as they have many pathophysiological features in common. The condition of hyperglycemia exposes brain cells to the detrimental effects of glucose, increasing protein glycation and is the cause of different non-psychiatric complications. Numerous observational studies show that not only hyperglycemia but also blood glucose levels near lower fasting limits (72 to 99 mg/dL) increase the incidence of AD, regardless of whether T2DM will develop in the future. As the comorbidity of these diseases and earlier development of AD in T2DM sufferers exist, new AD biomarkers are being sought for etiopathogenetic changes associated with early neurodegenerative processes as a result of carbohydrate disorders. The S100B protein seem to be interesting in this respect as it may be a potential candidate, especially important in early diagnostics of these diseases, given that it plays a role in both carbohydrate metabolism disorders and neurodegenerative processes. It is therefore necessary to clarify the relationship between the concentration of the S100B protein and glucose and insulin levels. This paper draws attention to a valuable research objective that may in the future contribute to a better diagnosis of early neurodegenerative changes, in particular in subjects with T2DM and may be a good basis for planning experiments related to this issue as well as a more detailed explanation of the relationship between the neuropathological disturbances and changes of glucose and insulin concentrations in the brain.
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Affiliation(s)
- Adriana Kubis-Kubiak
- Department of Toxicology, Faculty of Pharmacy, Wroclaw Medical University, 50367 Wroclaw, Poland;
- Correspondence:
| | - Aleksandra Dyba
- Students Science Club of the Department of Toxicology, Faculty of Pharmacy, Wroclaw Medical University, 50367 Wroclaw, Poland;
| | - Agnieszka Piwowar
- Department of Toxicology, Faculty of Pharmacy, Wroclaw Medical University, 50367 Wroclaw, Poland;
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24
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Zhang Y, Ren B, Zhang D, Liu Y, Zhang M, Zhao C, Zheng J. Design principles and fundamental understanding of biosensors for amyloid-β detection. J Mater Chem B 2020; 8:6179-6196. [DOI: 10.1039/d0tb00344a] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aβ as biomarker in Alzheimer’s disease (AD) drives the significant research efforts for developing different biosensors with different sensing strategies, materials, and mechanisms for Aβ detection.
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Affiliation(s)
- Yanxian Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Baiping Ren
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Dong Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Yonglan Liu
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Mingzhen Zhang
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
| | - Chao Zhao
- Department of Chemical and Biomolecular Engineering
- The University of Alabama
- USA
| | - Jie Zheng
- Department of Chemical
- Biomolecular, and Corrosion Engineering
- The University of Akron
- Ohio
- USA
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25
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Yiannopoulou KG, Anastasiou AI, Zachariou V, Pelidou SH. Reasons for Failed Trials of Disease-Modifying Treatments for Alzheimer Disease and Their Contribution in Recent Research. Biomedicines 2019; 7:biomedicines7040097. [PMID: 31835422 PMCID: PMC6966425 DOI: 10.3390/biomedicines7040097] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 11/29/2019] [Accepted: 12/02/2019] [Indexed: 12/14/2022] Open
Abstract
Despite all scientific efforts and many protracted and expensive clinical trials, no new drug has been approved by FDA for treatment of Alzheimer disease (AD) since 2003. Indeed, more than 200 investigational programs have failed or have been abandoned in the last decade. The most probable explanations for failures of disease-modifying treatments (DMTs) for AD may include late initiation of treatments during the course of AD development, inappropriate drug dosages, erroneous selection of treatment targets, and mainly an inadequate understanding of the complex pathophysiology of AD, which may necessitate combination treatments rather than monotherapy. Clinical trials’ methodological issues have also been criticized. Drug-development research for AD is aimed to overcome these drawbacks. Preclinical and prodromal AD populations, as well as traditionally investigated populations representing all the clinical stages of AD, are included in recent trials. Systematic use of biomarkers in staging preclinical and prodromal AD and of a single primary outcome in trials of prodromal AD are regularly integrated. The application of amyloid, tau, and neurodegeneration biomarkers, including new biomarkers—such as Tau positron emission tomography, neurofilament light chain (blood and Cerebrospinal fluid (CSF) biomarker of axonal degeneration) and neurogranin (CSF biomarker of synaptic functioning)—to clinical trials allows more precise staging of AD. Additionally, use of Bayesian statistics, modifiable clinical trial designs, and clinical trial simulators enrich the trial methodology. Besides, combination therapy regimens are assessed in clinical trials. The above-mentioned diagnostic and statistical advances, which have been recently integrated in clinical trials, are relevant to the recent failures of studies of disease-modifying treatments. Their experiential rather than theoretical origins may better equip potentially successful drug-development strategies.
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Affiliation(s)
- Konstantina G. Yiannopoulou
- Memory Center, Neurological Department, Henry Dunant Hospital Center, 107 Mesogeion Avenue, 11526 Athens, Greece
- Correspondence:
| | | | - Venetia Zachariou
- Icahn School of Medicine at Mount Sinai, Nash family Department of Neurosciences, Department of Pharmacological Sciences, and Friedman Brain Institute, New York, NY 11004, USA;
| | - Sygkliti-Henrietta Pelidou
- Department of Neurology, University of Ioannina, University Hospital of Ioannina, 45500 Ioannina, Greece;
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26
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Dhiman K, Blennow K, Zetterberg H, Martins RN, Gupta VB. Cerebrospinal fluid biomarkers for understanding multiple aspects of Alzheimer's disease pathogenesis. Cell Mol Life Sci 2019; 76:1833-1863. [PMID: 30770953 PMCID: PMC11105672 DOI: 10.1007/s00018-019-03040-5] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 01/31/2019] [Accepted: 02/04/2019] [Indexed: 12/17/2022]
Abstract
Alzheimer's disease (AD) is a multifactorial age-related brain disease. Numerous pathological events run forth in the brain leading to AD. There is an initial long, dormant phase before the clinical symptoms become evident. There is a need to diagnose the disease at the preclinical stage since therapeutic interventions are most likely to be effective if initiated early. Undoubtedly, the core cerebrospinal fluid (CSF) biomarkers have a good diagnostic accuracy and have been used in clinical trials as end point measures. However, looking into the multifactorial nature of AD and the overlapping pathology with other forms of dementia, it is important to integrate the core CSF biomarkers with a broader panel of other biomarkers reflecting different aspects of pathology. The review is focused upon a panel of biomarkers that relate to different aspects of AD pathology, as well as various studies that have evaluated their diagnostic potential. The panel includes markers of neurodegeneration: neurofilament light chain and visinin-like protein (VILIP-1); markers of amyloidogenesis and brain amyloidosis: apolipoproteins; markers of inflammation: YKL-40 and monocyte chemoattractant protein 1; marker of synaptic dysfunction: neurogranin. These markers can highlight on the state and stage-associated changes that occur in AD brain with disease progression. A combination of these biomarkers would not only aid in preclinical diagnosis, but would also help in identifying early brain changes during the onset of disease. Successful treatment strategies can be devised by understanding the contribution of these markers in different aspects of disease pathogenesis.
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Affiliation(s)
- Kunal Dhiman
- Centre of Excellence in Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, 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, 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, London, UK
| | - Ralph N Martins
- Centre of Excellence in Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia
- Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, 8 Verdun Street, Nedlands, WA, Australia
- Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
- KaRa Institute of Neurological Diseases, Sydney, NSW, Australia
| | - Veer Bala Gupta
- Centre of Excellence in Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, Australia.
- School of Medicine, Deakin University, Geelong, 3220, VIC, Australia.
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27
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Molinuevo JL, Ayton S, Batrla R, Bednar MM, Bittner T, Cummings J, Fagan AM, Hampel H, Mielke MM, Mikulskis A, O'Bryant S, Scheltens P, Sevigny J, Shaw LM, Soares HD, Tong G, Trojanowski JQ, Zetterberg H, Blennow K. Current state of Alzheimer's fluid biomarkers. Acta Neuropathol 2018; 136:821-853. [PMID: 30488277 PMCID: PMC6280827 DOI: 10.1007/s00401-018-1932-x] [Citation(s) in RCA: 331] [Impact Index Per Article: 55.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 11/05/2018] [Accepted: 11/07/2018] [Indexed: 12/12/2022]
Abstract
Alzheimer’s disease (AD) is a progressive neurodegenerative disease with a complex and heterogeneous pathophysiology. The number of people living with AD is predicted to increase; however, there are no disease-modifying therapies currently available and none have been successful in late-stage clinical trials. Fluid biomarkers measured in cerebrospinal fluid (CSF) or blood hold promise for enabling more effective drug development and establishing a more personalized medicine approach for AD diagnosis and treatment. Biomarkers used in drug development programmes should be qualified for a specific context of use (COU). These COUs include, but are not limited to, subject/patient selection, assessment of disease state and/or prognosis, assessment of mechanism of action, dose optimization, drug response monitoring, efficacy maximization, and toxicity/adverse reactions identification and minimization. The core AD CSF biomarkers Aβ42, t-tau, and p-tau are recognized by research guidelines for their diagnostic utility and are being considered for qualification for subject selection in clinical trials. However, there is a need to better understand their potential for other COUs, as well as identify additional fluid biomarkers reflecting other aspects of AD pathophysiology. Several novel fluid biomarkers have been proposed, but their role in AD pathology and their use as AD biomarkers have yet to be validated. In this review, we summarize some of the pathological mechanisms implicated in the sporadic AD and highlight the data for several established and novel fluid biomarkers (including BACE1, TREM2, YKL-40, IP-10, neurogranin, SNAP-25, synaptotagmin, α-synuclein, TDP-43, ferritin, VILIP-1, and NF-L) associated with each mechanism. We discuss the potential COUs for each biomarker.
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Affiliation(s)
- José Luis Molinuevo
- BarcelonaBeta Brain Research Center, Fundació Pasqual Maragall, Universitat Pompeu Fabra, Barcelona, Spain
- Unidad de Alzheimer y otros trastornos cognitivos, Hospital Clinic-IDIBAPS, Barcelona, Spain
| | - Scott Ayton
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Richard Batrla
- Roche Centralised and Point of Care Solutions, Roche Diagnostics International, Rotkreuz, Switzerland
| | - Martin M Bednar
- Neuroscience Therapeutic Area Unit, Takeda Development Centre Americas Ltd, Cambridge, MA, USA
| | - Tobias Bittner
- Genentech, A Member of the Roche Group, Basel, Switzerland
| | - Jeffrey Cummings
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Anne M Fagan
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Harald Hampel
- AXA Research Fund and Sorbonne University Chair, Paris, France
- Sorbonne University, GRC No 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Brain and Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Michelle M Mielke
- Departments of Epidemiology and Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Sid O'Bryant
- Department of Pharmacology and Neuroscience; Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Jeffrey Sevigny
- Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Holly D Soares
- Clinical Development Neurology, AbbVie, North Chicago, IL, USA
| | | | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal Campus, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal Campus, Sahlgrenska University Hospital, 431 80, Mölndal, Sweden.
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28
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Sepe FN, Chiasserini D, Parnetti L. Role of FABP3 as biomarker in Alzheimer's disease and synucleinopathies. FUTURE NEUROLOGY 2018. [DOI: 10.2217/fnl-2018-0003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Lipids are fundamental components of brain cells as they are involved in several essential processes like remodeling of plasma membrane, synaptic function and receptor–ligand interactions. Systemic and brain alterations in lipid metabolism have been linked to the pathogenesis of neurodegenerative disorders like dementia and parkinsonisms. Intracellular transport of lipids is regulated by fatty acid-binding proteins. Recently, a member of this family, the fatty acid-binding protein 3 has been proposed as a potential biomarker across a range of neurodegenerative diseases, including Alzheimer's disease and dementia with Lewy bodies. In this special report, we describe recent progresses in characterizing the role of fatty acid-binding protein 3 in neurodegeneration and its putative role as biomarker measurable in biological fluids.
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Affiliation(s)
- Federica Nicoletta Sepe
- Center for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Davide Chiasserini
- Stoller Biomarker Discovery Centre, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Lucilla Parnetti
- Center for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
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29
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Gangishetti U, Christina Howell J, Perrin RJ, Louneva N, Watts KD, Kollhoff A, Grossman M, Wolk DA, Shaw LM, Morris JC, Trojanowski JQ, Fagan AM, Arnold SE, Hu WT. Non-beta-amyloid/tau cerebrospinal fluid markers inform staging and progression in Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2018; 10:98. [PMID: 30253800 PMCID: PMC6156847 DOI: 10.1186/s13195-018-0426-3] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 09/03/2018] [Indexed: 11/21/2022]
Abstract
Background Alzheimer’s disease (AD) is a complex neurodegenerative disorder characterized by neuropathologic changes involving beta-amyloid (Aβ), tau, neuronal loss, and other associated biological events. While levels of cerebrospinal fluid (CSF) Aβ and tau peptides have enhanced the antemortem detection of AD-specific changes, these two markers poorly reflect the severity of cognitive and functional deficits in people with altered Aβ and tau levels. While multiple previous studies identified non-Aβ, non-tau proteins as candidate neurodegenerative markers to inform the A/T/N biomarker scheme of AD, few have advanced beyond association with clinical AD diagnosis. Here we analyzed nine promising neurodegenerative markers in a three-centered cohort using independent assays to identify candidates most likely to complement Aβ and tau in the A/T/N framework. Methods CSF samples from 125 subjects recruited at the three centers were exchanged such that each of the nine previously identified biomarkers can be measured at one of the three centers. Subjects were classified according to cognitive status and CSF AD biomarker profiles as having normal cognition and normal CSF (n = 31), normal cognition and CSF consistent with AD (n = 13), mild cognitive impairment and normal CSF (n = 13), mild cognitive impairment with CSF consistent with AD (n = 23), AD dementia (n = 32; CSF consistent with AD), and other non-AD dementia (n = 13; CSF not consistent with AD). Results Three biomarkers were identified to differ among the AD stages, including neurofilament light chain (NfL; p < 0.001), fatty acid binding protein 3 (Fabp3; p < 0.001), and interleukin (IL)-10 (p = 0.033). Increased NfL levels were most strongly associated with the dementia stage of AD, but increased Fabp3 levels were more sensitive to milder AD stages and correlated with both CSF tau markers. IL-10 levels did not correlate with tau biomarkers, but were associated with rates of longitudinal cognitive decline in mild cognitive impairment due to AD (p = 0.006). Prefreezing centrifugation did not influence measured CSF biomarker levels. Conclusion CSF proteins associated with AD clinical stages and progression can complement Aβ and tau markers to inform neurodegeneration. A validated panel inclusive of multiple biomarker features (etiology, stage, progression) can improve AD phenotyping along the A/T/N framework.
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Affiliation(s)
- Umesh Gangishetti
- Department of Neurology, Emory University, 615 Michael Street, 505F, Atlanta, GA, 30322, USA
| | - J Christina Howell
- Department of Neurology, Emory University, 615 Michael Street, 505F, Atlanta, GA, 30322, USA.,Department of Alzheimer's Disease Research Center, Emory University, Atlanta, GA, USA
| | - Richard J Perrin
- Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Pathology, Washington University, St. Louis, MO, USA
| | - Natalia Louneva
- Department of Pathology, Washington University, St. Louis, MO, USA
| | - Kelly D Watts
- Department of Neurology, Emory University, 615 Michael Street, 505F, Atlanta, GA, 30322, USA
| | - Alexander Kollhoff
- Department of Neurology, Emory University, 615 Michael Street, 505F, Atlanta, GA, 30322, USA
| | - Murray Grossman
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA.,Penn FTD Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University, St. Louis, MO, USA
| | - John Q Trojanowski
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anne M Fagan
- Knight Alzheimer's Disease Research Center, Washington University, St. Louis, MO, USA.,Department of Neurology, Washington University, St. Louis, MO, USA
| | - Steven E Arnold
- Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA.,Present Address: Massachusetts General Hospital, Boston, MA, USA
| | - William T Hu
- Department of Neurology, Emory University, 615 Michael Street, 505F, Atlanta, GA, 30322, USA. .,Department of Alzheimer's Disease Research Center, Emory University, Atlanta, GA, USA.
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Bonham LW, Geier EG, Steele NZR, Holland D, Miller BL, Dale AM, Desikan RS, Yokoyama JS. Insulin-Like Growth Factor Binding Protein 2 Is Associated With Biomarkers of Alzheimer's Disease Pathology and Shows Differential Expression in Transgenic Mice. Front Neurosci 2018; 12:476. [PMID: 30061810 PMCID: PMC6055061 DOI: 10.3389/fnins.2018.00476] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 06/25/2018] [Indexed: 12/22/2022] Open
Abstract
There is increasing evidence that metabolic dysfunction plays an important role in Alzheimer's disease (AD). Brain insulin resistance and subsequent impairment of insulin and insulin-like growth factor (IGF) signaling are associated with the neurodegenerative and clinical features of AD. Nevertheless, how the brain insulin/IGF signaling system is altered in AD and the effects of these changes on AD pathobiology are not well understood. IGF binding protein 2 (IGFBP-2) is an abundant cerebral IGF signaling protein and there is early evidence suggesting it associates with AD biomarkers. We evaluated the relationship between protein levels of IGFBP-2 with cerebrospinal fluid (CSF) biomarkers and neuroimaging markers of AD progression in 300 individuals from across the AD spectrum. CSF IGFBP-2 levels were correlated with CSF tau levels and brain atrophy in non-hippocampal regions. To further explore the role of IGFBP2 in tau pathobiology, we evaluated the expression of IGFBP2 in different human and mouse brain cell types and brain tissue from two transgenic mouse models: the P301L-tau model of tauopathy and TASTPM model of AD. We observed significant differential expression of IGFBP2 in both transgenic mouse models relative to wild-type mice in cortex but not in hippocampus. In both humans and mice, IGFBP2 is most highly expressed in astrocytes. Taken together, our findings suggest that IGFBP-2 may be linked to tau pathology and provides further evidence for a relationship between metabolic dysregulation and neurodegeneration. Our results also raise the possibility that this relationship may extend beyond neurons.
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Affiliation(s)
- Luke W Bonham
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Ethan G Geier
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Natasha Z R Steele
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Dominic Holland
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Anders M Dale
- Department of Neurosciences, University of California, San Diego, San Diego, CA, United States.,Department of Psychiatry, University of California, San Diego, San Diego, CA, United States.,Department of Radiology, University of California, San Diego, San Diego, CA, United States
| | - Rahul S Desikan
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Jennifer S Yokoyama
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
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31
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Trombetta BA, Carlyle BC, Koenig AM, Shaw LM, Trojanowski JQ, Wolk DA, Locascio JJ, Arnold SE. The technical reliability and biotemporal stability of cerebrospinal fluid biomarkers for profiling multiple pathophysiologies in Alzheimer's disease. PLoS One 2018; 13:e0193707. [PMID: 29505610 PMCID: PMC5837100 DOI: 10.1371/journal.pone.0193707] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 02/19/2018] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE Alzheimer's disease (AD) is a complex neurodegenerative disease driven by multiple interacting pathophysiological processes that ultimately results in synaptic loss, neuronal death, and dementia. We implemented a fit-for-purpose modeled approach to qualify a broad selection of commercially available immunoassays and evaluate the biotemporal stability of analytes across five pathophysiological domains of interest in AD, including core amyloid-β (Aβ) and tau AD biomarkers, neurodegeneration, inflammation/immune modulation, neurovascular injury, and metabolism/oxidative stress. METHODS Paired baseline and eight-week CSFs from twenty participants in a clinical drug trial for mild cognitive impairment (MCI) or mild dementia due to AD were used to evaluate sensitivity, intra-assay precision, inter-assay replicability, and eight-week biotemporal stability for sixty unique analytes measured with commercially available single- and multi-plex ELISA assays. Coefficients of variation (CV) were calculated, and intraclass correlation and Wilcoxon signed rank tests were applied. RESULTS We identified 32 biomarker candidates with good to excellent performance characteristics according to assay technical performance and CSF analyte biotemporal stability cut-off criteria. These included: 1) the core AD biomarkers Aβ1-42, Aβ1-40, Aβ1-38, and total tau; 2) non-Aβ, non-tau neurodegeneration markers NfL and FABP3; 3) inflammation/immune modulation markers IL-6, IL-7, IL-8, IL-12/23p40, IL-15, IL-16, MCP-1, MDC, MIP-1β, and YKL-40; 4) neurovascular markers Flt-1, ICAM-1, MMP-1, MMP-2, MMP-3, MMP-10, PlGF, VCAM-1, VEGF, VEGF-C, and VEGF-D; and 5) metabolism/oxidative stress markers 24-OHC, adiponectin, leptin, soluble insulin receptor, and 8-OHdG. CONCLUSIONS Assays for these CSF analytes demonstrate consistent sensitivity, reliability, and biotemporally stability for use in a multiple pathophysiological CSF biomarker panel to profile AD. Their qualification enables further investigation for use in AD diagnosis, staging and progression, disease mechanism profiling, and clinical trials.
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Affiliation(s)
- Bianca A. Trombetta
- MGH Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
| | - Becky C. Carlyle
- MGH Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
| | - Aaron M. Koenig
- MGH Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
| | - Leslie M. Shaw
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States of America
| | - John Q. Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States of America
| | - David A. Wolk
- Penn Memory Center, Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, United States of America
| | - Joseph J. Locascio
- MGH Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
| | - Steven E. Arnold
- MGH Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
- * E-mail:
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32
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Ory DS, Ottinger EA, Farhat NY, King KA, Jiang X, Weissfeld L, Berry-Kravis E, Davidson CD, Bianconi S, Keener LA, Rao R, Soldatos A, Sidhu R, Walters KA, Xu X, Thurm A, Solomon B, Pavan WJ, Machielse BN, Kao M, Silber SA, McKew JC, Brewer CC, Vite CH, Walkley SU, Austin CP, Porter FD. Intrathecal 2-hydroxypropyl-β-cyclodextrin decreases neurological disease progression in Niemann-Pick disease, type C1: a non-randomised, open-label, phase 1-2 trial. Lancet 2017; 390:1758-1768. [PMID: 28803710 PMCID: PMC6176479 DOI: 10.1016/s0140-6736(17)31465-4] [Citation(s) in RCA: 233] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 04/12/2017] [Accepted: 04/21/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND Niemann-Pick disease, type C1 (NPC1) is a lysosomal storage disorder characterised by progressive neurodegeneration. In preclinical testing, 2-hydroxypropyl-β-cyclodextrins (HPβCD) significantly delayed cerebellar Purkinje cell loss, slowed progression of neurological manifestations, and increased lifespan in mouse and cat models of NPC1. The aim of this study was to assess the safety and efficacy of lumbar intrathecal HPβCD. METHODS In this open-label, dose-escalation phase 1-2a study, we gave monthly intrathecal HPβCD to participants with NPC1 with neurological manifestation at the National Institutes of Health (NIH), Bethesda, MD, USA. To explore the potential effect of 2-week dosing, three additional participants were enrolled in a parallel study at Rush University Medical Center (RUMC), Chicago, IL, USA. Participants from the NIH were non-randomly, sequentially assigned in cohorts of three to receive monthly initial intrathecal HPβCD at doses of 50, 200, 300, or 400 mg per month. A fifth cohort of two participants received initial doses of 900 mg. Participants from RUMC initially received 200 or 400 mg every 2 weeks. The dose was escalated based on tolerance or safety data from higher dose cohorts. Serum and CSF 24(S)-hydroxycholesterol (24[S]-HC), which serves as a biomarker of target engagement, and CSF protein biomarkers were evaluated. NPC Neurological Severity Scores (NNSS) were used to compare disease progression in HPβCD-treated participants relative to a historical comparison cohort of 21 NPC1 participants of similar age range. FINDINGS Between Sept 21, 2013, and Jan 19, 2015, 32 participants with NPC1 were assessed for eligibility at the National Institutes of Health. 18 patients were excluded due to inclusion criteria not met (six patients), declined to participate (three patients), pursued independent expanded access and obtained the drug outside of the study (three patients), enrolled in the RUMC cohort (one patient), or too late for the trial enrolment (five patients). 14 patients were enrolled and sequentially assigned to receive intrathecal HPβCD at a starting dose of 50 mg per month (three patients), 200 mg per month (three patients), 300 mg per month (three patients), 400 mg per month (three patients), or 900 mg per month (two patients). During the first year, two patients had treatment interrupted for one dose, based on grade 1 ototoxicity. All 14 patients were assessed at 12 months. Between 12 and 18 months, one participant had treatment interrupted at 17 months due to hepatocellular carcinoma, one patient had dose interruption for 2 doses based on caregiver hardship and one patient had treatment interrupted for 1 dose for mastoiditis. 11 patients were assessed at 18 months. Between Dec 11, 2013, and June 25, 2014, three participants were assessed for eligibility and enrolled at RUMC, and were assigned to receive intrathecal HPβCD at a starting dose of 200 mg every 2 weeks (two patients), or 400 mg every two weeks (one patient). There were no dropouts in this group and all 3 patients were assessed at 18 months. Biomarker studies were consistent with improved neuronal cholesterol homoeostasis and decreased neuronal pathology. Post-drug plasma 24(S)-HC area under the curve (AUC8-72) values, an indicator of neuronal cholesterol homoeostasis, were significantly higher than post-saline plasma 24(S)-HC AUC8-72 after doses of 900 mg (p=0·0063) and 1200 mg (p=0·0037). CSF 24(S)-HC concentrations in three participants given either 600 or 900 mg of HPβCD were increased about two fold (p=0·0032) after drug administration. No drug-related serious adverse events were observed. Mid-frequency to high-frequency hearing loss, an expected adverse event, was documented in all participants. When managed with hearing aids, this did not have an appreciable effect on daily communication. The NNSS for the 14 participants treated monthly increased at a rate of 1·22, SEM 0·34 points per year compared with 2·92, SEM 0·27 points per year (p=0·0002) for the 21 patient comparison group. Decreased progression was observed for NNSS domains of ambulation (p=0·0622), cognition (p=0·0040) and speech (p=0·0423). INTERPRETATION Patients with NPC1 treated with intrathecal HPβCD had slowed disease progression with an acceptable safety profile. These data support the initiation of a multinational, randomised, controlled trial of intrathecal HPβCD. FUNDING National Institutes of Health, Dana's Angels Research Trust, Ara Parseghian Medical Research Foundation, Hope for Haley, Samantha's Search for the Cure Foundation, National Niemann-Pick Disease Foundation, Support of Accelerated Research for NPC Disease, Vtesse, Janssen Research and Development, a Johnson & Johnson company, and Johnson & Johnson.
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Affiliation(s)
- Daniel S Ory
- Washington University School of Medicine, St Louis, MO, USA
| | - Elizabeth A Ottinger
- National Center for Advancing Translational Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Nicole Yanjanin Farhat
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, MD USA
| | - Kelly A King
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Xuntian Jiang
- Washington University School of Medicine, St Louis, MO, USA
| | | | | | | | - Simona Bianconi
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, MD USA
| | - Lee Ann Keener
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, MD USA
| | | | - Ariane Soldatos
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Department of Health and Human Services Bethesda, MD, USA
| | - Rohini Sidhu
- Washington University School of Medicine, St Louis, MO, USA
| | | | - Xin Xu
- National Center for Advancing Translational Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Audrey Thurm
- National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Beth Solomon
- Mark O Hatfield Clinical Research Center, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - William J Pavan
- National Human Genome Research Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | | | - Mark Kao
- Preclinical Development and Safety, Janssen R&D, Raritan, NJ, USA
| | - Steven A Silber
- Global Public Health, Johnson & Johnson, Philadelphia, PA, USA
| | - John C McKew
- National Center for Advancing Translational Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Carmen C Brewer
- National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Charles H Vite
- School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Christopher P Austin
- National Center for Advancing Translational Sciences, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Forbes D Porter
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Department of Health and Human Services, Bethesda, MD USA.
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Gerstner JR, Lenz O, Vanderheyden WM, Chan MT, Pfeiffenberger C, Pack AI. Amyloid-β induces sleep fragmentation that is rescued by fatty acid binding proteins in Drosophila. J Neurosci Res 2017; 95:1548-1564. [PMID: 27320125 PMCID: PMC5167666 DOI: 10.1002/jnr.23778] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 04/15/2016] [Accepted: 05/09/2016] [Indexed: 12/21/2022]
Abstract
Disruption of sleep/wake activity in Alzheimer's disease (AD) patients significantly affects their quality of life and that of their caretakers and is a major contributing factor for institutionalization. Levels of amyloid-β (Aβ) have been shown to be regulated by neuronal activity and to correlate with the sleep/wake cycle. Whether consolidated sleep can be disrupted by Aβ alone is not well understood. We hypothesize that Aβ42 can increase wakefulness and disrupt consolidated sleep. Here we report that flies expressing the human Aβ42 transgene in neurons have significantly reduced consolidated sleep compared with control flies. Fatty acid binding proteins (Fabp) are small hydrophobic ligand carriers that have been clinically implicated in AD. Aβ42 flies that carry a transgene of either the Drosophila Fabp or the mammalian brain-type Fabp show a significant increase in nighttime sleep and long consolidated sleep bouts, rescuing the Aβ42-induced sleep disruption. These studies suggest that alterations in Fabp levels and/or activity may be associated with sleep disturbances in AD. Future work to determine the molecular mechanisms that contribute to Fabp-mediated rescue of Aβ42-induced sleep loss will be important for the development of therapeutics in the treatment of AD. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Jason R. Gerstner
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA
- Washington State University, Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Spokane, WA
| | - Olivia Lenz
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA
| | - William M. Vanderheyden
- Washington State University, Department of Biomedical Sciences, Elson S. Floyd College of Medicine, Spokane, WA
| | - May T. Chan
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA
| | - Cory Pfeiffenberger
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA
| | - Allan I. Pack
- Center for Sleep and Circadian Neurobiology, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA
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Chiasserini D, Biscetti L, Eusebi P, Salvadori N, Frattini G, Simoni S, De Roeck N, Tambasco N, Stoops E, Vanderstichele H, Engelborghs S, Mollenhauer B, Calabresi P, Parnetti L. Differential role of CSF fatty acid binding protein 3, α-synuclein, and Alzheimer's disease core biomarkers in Lewy body disorders and Alzheimer's dementia. ALZHEIMERS RESEARCH & THERAPY 2017; 9:52. [PMID: 28750675 PMCID: PMC5532764 DOI: 10.1186/s13195-017-0276-4] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 06/05/2017] [Indexed: 02/08/2023]
Abstract
Background Neurodegenerative disorders such as Alzheimer’s disease (AD), Parkinson’s disease with dementia (PDD), and dementia with Lewy bodies (DLB) share clinical and molecular features. Cerebrospinal fluid (CSF) biomarkers may help the characterization of these diseases, improving the differential diagnosis. We evaluated the diagnostic performance of five CSF biomarkers across a well-characterized cohort of patients diagnosed with AD, DLB, PDD, and Parkinson’s disease (PD). Methods A total of 208 patients were enrolled in 3 European centers. The diagnostic groups (AD, n = 48; DLB, n = 40; PDD, n = 20; PD, n = 54) were compared with cognitively healthy neurological control subjects (patients with other neurological diseases [OND], n = 46). CSF levels of fatty acid binding protein 3, heart type (FABP3), α-synuclein (α-syn), amyloid-β peptide 1–42, total tau (t-tau), and phosphorylated tau 181 (p-tau) were assessed with immunoassays. Univariate and multivariate statistical analyses were applied to calculate the diagnostic value of the biomarkers as well as their association with clinical scores. Results FABP3 levels were significantly increased in patients with AD and DLB compared with those with PD and OND (p < 0.001). CSF t-tau, p-tau, and α-syn were significantly higher in patients with AD than in patients with PDD, DLB, PD, and OND. Combination of FABP3 with p-tau showed high accuracy for the differential diagnosis between AD and DLB (AUC 0.92), whereas patients with AD were separated from those with PDD using a combination of p-tau, FABP3, and α-syn (AUC 0.96). CSF FABP3 was inversely associated with Mini Mental State Examination score in the whole cohort (r = −0.42, p < 0.001). Conclusions The combination of CSF biomarkers linked to different aspects of neurodegeneration, such as FABP3, α-syn, and AD biomarkers, improves the biochemical characterization of AD and Lewy body disorders. Electronic supplementary material The online version of this article (doi:10.1186/s13195-017-0276-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Davide Chiasserini
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy. .,Oncoproteomics Laboratory, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands.
| | - Leonardo Biscetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Paolo Eusebi
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Nicola Salvadori
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Giulia Frattini
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Simone Simoni
- Neurology Clinic, University Hospital S. Maria della Misericordia - University of Perugia, Perugia, Italy
| | - Naomi De Roeck
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Nicola Tambasco
- Neurology Clinic, University Hospital S. Maria della Misericordia - University of Perugia, Perugia, Italy
| | - Erik Stoops
- ADx NeuroSciences, Technologiepark 4, 9052, Gent, Belgium
| | | | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium
| | - Brit Mollenhauer
- Department of Neurosurgery and Institute of Neuropathology, University Medicine Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Germany.,Paracelsus-Elena Klinik, Klinikstrasse 16, 34128, Kassel, Germany
| | - Paolo Calabresi
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.,Neurology Clinic, University Hospital S. Maria della Misericordia - University of Perugia, Perugia, Italy.,IRRCS S. Lucia Foundation, Rome, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy.,Neurology Clinic, University Hospital S. Maria della Misericordia - University of Perugia, Perugia, Italy
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35
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Steele NZR, Carr JS, Bonham LW, Geier EG, Damotte V, Miller ZA, Desikan RS, Boehme KL, Mukherjee S, Crane PK, Kauwe JSK, Kramer JH, Miller BL, Coppola G, Hollenbach JA, Huang Y, Yokoyama JS. Fine-mapping of the human leukocyte antigen locus as a risk factor for Alzheimer disease: A case-control study. PLoS Med 2017; 14:e1002272. [PMID: 28350795 PMCID: PMC5369701 DOI: 10.1371/journal.pmed.1002272] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 02/17/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Alzheimer disease (AD) is a progressive disorder that affects cognitive function. There is increasing support for the role of neuroinflammation and aberrant immune regulation in the pathophysiology of AD. The immunoregulatory human leukocyte antigen (HLA) complex has been linked to susceptibility for a number of neurodegenerative diseases, including AD; however, studies to date have failed to consistently identify a risk HLA haplotype for AD. Contributing to this difficulty are the complex genetic organization of the HLA region, differences in sequencing and allelic imputation methods, and diversity across ethnic populations. METHODS AND FINDINGS Building on prior work linking the HLA to AD, we used a robust imputation method on two separate case-control cohorts to examine the relationship between HLA haplotypes and AD risk in 309 individuals (191 AD, 118 cognitively normal [CN] controls) from the San Francisco-based University of California, San Francisco (UCSF) Memory and Aging Center (collected between 1999-2015) and 11,381 individuals (5,728 AD, 5,653 CN controls) from the Alzheimer's Disease Genetics Consortium (ADGC), a National Institute on Aging (NIA)-funded national data repository (reflecting samples collected between 1984-2012). We also examined cerebrospinal fluid (CSF) biomarker measures for patients seen between 2005-2007 and longitudinal cognitive data from the Alzheimer's Disease Neuroimaging Initiative (n = 346, mean follow-up 3.15 ± 2.04 y in AD individuals) to assess the clinical relevance of identified risk haplotypes. The strongest association with AD risk occurred with major histocompatibility complex (MHC) haplotype A*03:01~B*07:02~DRB1*15:01~DQA1*01:02~DQB1*06:02 (p = 9.6 x 10-4, odds ratio [OR] [95% confidence interval] = 1.21 [1.08-1.37]) in the combined UCSF + ADGC cohort. Secondary analysis suggested that this effect may be driven primarily by individuals who are negative for the established AD genetic risk factor, apolipoprotein E (APOE) ɛ4. Separate analyses of class I and II haplotypes further supported the role of class I haplotype A*03:01~B*07:02 (p = 0.03, OR = 1.11 [1.01-1.23]) and class II haplotype DRB1*15:01- DQA1*01:02- DQB1*06:02 (DR15) (p = 0.03, OR = 1.08 [1.01-1.15]) as risk factors for AD. We followed up these findings in the clinical dataset representing the spectrum of cognitively normal controls, individuals with mild cognitive impairment, and individuals with AD to assess their relevance to disease. Carrying A*03:01~B*07:02 was associated with higher CSF amyloid levels (p = 0.03, β ± standard error = 47.19 ± 21.78). We also found a dose-dependent association between the DR15 haplotype and greater rates of cognitive decline (greater impairment on the 11-item Alzheimer's Disease Assessment Scale cognitive subscale [ADAS11] over time [p = 0.03, β ± standard error = 0.7 ± 0.3]; worse forgetting score on the Rey Auditory Verbal Learning Test (RAVLT) over time [p = 0.02, β ± standard error = -0.2 ± 0.06]). In a subset of the same cohort, dose of DR15 was also associated with higher baseline levels of chemokine CC-4, a biomarker of inflammation (p = 0.005, β ± standard error = 0.08 ± 0.03). The main study limitations are that the results represent only individuals of European-ancestry and clinically diagnosed individuals, and that our study used imputed genotypes for a subset of HLA genes. CONCLUSIONS We provide evidence that variation in the HLA locus-including risk haplotype DR15-contributes to AD risk. DR15 has also been associated with multiple sclerosis, and its component alleles have been implicated in Parkinson disease and narcolepsy. Our findings thus raise the possibility that DR15-associated mechanisms may contribute to pan-neuronal disease vulnerability.
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Affiliation(s)
- Natasha Z. R. Steele
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
- University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Jessie S. Carr
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
- Gladstone Institute of Neurological Disease, San Francisco, California, United States of America
| | - Luke W. Bonham
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
- Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Ethan G. Geier
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Vincent Damotte
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Zachary A. Miller
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Rahul S. Desikan
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, United States of America
| | - Kevin L. Boehme
- Brigham Young University, Provo, Utah, United States of America
| | - Shubhabrata Mukherjee
- University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Paul K. Crane
- University of Washington School of Medicine, Seattle, Washington, United States of America
| | | | - Joel H. Kramer
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Bruce L. Miller
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Giovanni Coppola
- Departments of Neurology and Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Yadong Huang
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
- Gladstone Institute of Neurological Disease, San Francisco, California, United States of America
- Department of Pathology, University of California, San Francisco, San Francisco, California, United States of America
| | - Jennifer S. Yokoyama
- Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
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Höglund K, Kern S, Zettergren A, Börjesson-Hansson A, Zetterberg H, Skoog I, Blennow K. Preclinical amyloid pathology biomarker positivity: effects on tau pathology and neurodegeneration. Transl Psychiatry 2017; 7:e995. [PMID: 28072416 PMCID: PMC5545720 DOI: 10.1038/tp.2016.252] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Revised: 06/01/2016] [Accepted: 06/30/2016] [Indexed: 11/15/2022] Open
Abstract
Brain autopsy and biomarker studies indicate that the pathology of Alzheimer's disease (AD) is initiated at least 10-20 years before clinical symptoms. This provides a window of opportunity to initiate preventive treatment. However, this emphasizes the necessity for biomarkers that identify individuals at risk for developing AD later in life. In this cross-sectional study, originating from three epidemiologic studies in Sweden (n=1428), the objective was to examine whether amyloid pathology, as determined by low cerebrospinal fluid (CSF) concentration of the 42 amino acid form of β-amyloid (Aβ42), is associated with biomarker evidence of other pathological changes in cognitively healthy elderly. A total of 129 patients were included and CSF levels of Aβ42, total tau, tau phosphorylated at threonine 181 (p-tau), neurogranin, VILIP-1, VEGF, FABP3, Aβ40, neurofilament light, MBP, orexin A, BDNF and YKL-40 were measured. Among these healthy elderly, 35.6% (N=46) had CSF Aβ42 levels below 530 pg ml-1. These individuals displayed significantly higher CSF concentrations of t-tau (P<0.001), p-tau (181) (P<0.001), neurogranin (P=0.009) and FABP3 (P=0.044) compared with amyloid-negative individuals. Our study indicates that there is a subpopulation among healthy older individuals who have amyloid pathology along with signs of ongoing neuronal and synaptic degeneration, as well as tangle pathology. Previous studies have demonstrated that increase in CSF tau and p-tau is a specific sign of AD progression that occurs downstream of the deposition of Aβ. On the basis of this, our data suggest that these subjects are at risk for developing AD. We also confirm the association between APOE ɛ4 and amyloid pathology in healthy older individuals.
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Affiliation(s)
- K Höglund
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Disease Research, Neurogeriatrics Division, Karolinska Institutet, Novum, Stockholm, Sweden,Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at University of Gothenburg, Sahlgrenska University Hospital, Mölndal SE-431 80, Sweden. E-mail:
| | - S Kern
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - A Zettergren
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - A Börjesson-Hansson
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for Ageing and Health, AgeCap, University of Gothenburg, Mölndal, Sweden
| | - I Skoog
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden,Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - K Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Centre for ageing and Health, AgeCap, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
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Bonham LW, Desikan RS, Yokoyama JS. The relationship between complement factor C3, APOE ε4, amyloid and tau in Alzheimer's disease. Acta Neuropathol Commun 2016; 4:65. [PMID: 27357286 PMCID: PMC4928261 DOI: 10.1186/s40478-016-0339-y] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2016] [Accepted: 06/17/2016] [Indexed: 12/03/2022] Open
Abstract
Inflammation is becoming increasingly recognized as an important contributor to Alzheimer's disease (AD) pathogenesis. As a part of the innate immune system, the complement cascade enhances the body's ability to destroy and remove pathogens and has recently been shown to influence Alzheimer's associated amyloid and tau pathology. However, little is known in humans about the effects of the complement system and genetic modifiers of AD risk like the ε4 allele of apolioprotein E (APOE ε4) on AD pathobiology. We evaluated cerebrospinal fluid (CSF) protein levels from 267 individuals clinically diagnosed as cognitively normal, mild cognitive impairment, and AD. Using linear models, we assessed the relationship between APOE ε4 genotype, CSF Complement 3 (C3), CSF amyloid-β (amyloid) and CSF hyperphosphorylated tau (ptau). We found a significant interaction between APOE ε4 and CSF C3 on both CSF amyloid and CSF ptau. We also found that CSF C3 is only associated with CSF ptau after accounting for CSF amyloid. Our results support a conceptual model of the AD pathogenic cascade where a synergistic relationship between the complement cascade (C3) and APOE ε4 results in elevated Alzheimer's neurodegeneration and in turn, amyloid further regulates the effect of the complement cascade on downstream tau pathology.
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Affiliation(s)
- Luke W Bonham
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA
| | - Rahul S Desikan
- Neuroradiology Section, Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, 94143, CA, USA.
| | - Jennifer S Yokoyama
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
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Iturria-Medina Y, Sotero RC, Toussaint PJ, Mateos-Pérez JM, Evans AC. Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis. Nat Commun 2016; 7:11934. [PMID: 27327500 PMCID: PMC4919512 DOI: 10.1038/ncomms11934] [Citation(s) in RCA: 729] [Impact Index Per Article: 91.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Accepted: 05/13/2016] [Indexed: 02/06/2023] Open
Abstract
Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal alterations in brain amyloid-β deposition, metabolism, vascular, functional activity at rest, structural properties, cognitive integrity and peripheral proteins levels are characterized in relation to LOAD progression. We analyse over 7,700 brain images and tens of plasma and cerebrospinal fluid biomarkers from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Through a multifactorial data-driven analysis, we obtain dynamic LOAD-abnormality indices for all biomarkers, and a tentative temporal ordering of disease progression. Imaging results suggest that intra-brain vascular dysregulation is an early pathological event during disease development. Cognitive decline is noticeable from initial LOAD stages, suggesting early memory deficit associated with the primary disease factors. High abnormality levels are also observed for specific proteins associated with the vascular system's integrity. Although still subjected to the sensitivity of the algorithms and biomarkers employed, our results might contribute to the development of preventive therapeutic interventions.
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Affiliation(s)
- Y. Iturria-Medina
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada H3A 2B4
- Ludmer Centre for NeuroInformatics and Mental Health, Montreal, Quebec, Canada H3A 2B4
| | - R. C. Sotero
- Department of Radiology and Hotchkiss Brain institute, University of Calgary, Calgary, Alberta, Canada T2N 4N1
| | - P. J. Toussaint
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada H3A 2B4
- Ludmer Centre for NeuroInformatics and Mental Health, Montreal, Quebec, Canada H3A 2B4
| | - J. M. Mateos-Pérez
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada H3A 2B4
- Ludmer Centre for NeuroInformatics and Mental Health, Montreal, Quebec, Canada H3A 2B4
| | - A. C. Evans
- Department of Neurology & Neurosurgery, McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada H3A 2B4
- Ludmer Centre for NeuroInformatics and Mental Health, Montreal, Quebec, Canada H3A 2B4
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Jack CR, Barnes J, Bernstein MA, Borowski BJ, Brewer J, Clegg S, Dale AM, Carmichael O, Ching C, DeCarli C, Desikan RS, Fennema-Notestine C, Fjell AM, Fletcher E, Fox NC, Gunter J, Gutman BA, Holland D, Hua X, Insel P, Kantarci K, Killiany RJ, Krueger G, Leung KK, Mackin S, Maillard P, Malone IB, Mattsson N, McEvoy L, Modat M, Mueller S, Nosheny R, Ourselin S, Schuff N, Senjem ML, Simonson A, Thompson PM, Rettmann D, Vemuri P, Walhovd K, Zhao Y, Zuk S, Weiner M. Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2. Alzheimers Dement 2016; 11:740-56. [PMID: 26194310 DOI: 10.1016/j.jalz.2015.05.002] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 04/28/2015] [Accepted: 05/05/2015] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Alzheimer's Disease Neuroimaging Initiative (ADNI) is now in its 10th year. The primary objective of the magnetic resonance imaging (MRI) core of ADNI has been to improve methods for clinical trials in Alzheimer's disease (AD) and related disorders. METHODS We review the contributions of the MRI core from present and past cycles of ADNI (ADNI-1, -Grand Opportunity and -2). We also review plans for the future-ADNI-3. RESULTS Contributions of the MRI core include creating standardized acquisition protocols and quality control methods; examining the effect of technical features of image acquisition and analysis on outcome metrics; deriving sample size estimates for future trials based on those outcomes; and piloting the potential utility of MR perfusion, diffusion, and functional connectivity measures in multicenter clinical trials. DISCUSSION Over the past decade the MRI core of ADNI has fulfilled its mandate of improving methods for clinical trials in AD and will continue to do so in the future.
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Affiliation(s)
| | - Josephine Barnes
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | | | | | - James Brewer
- Department of Neuroscience, University of California at San Diego, La Jolla, CA, USA
| | - Shona Clegg
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Anders M Dale
- Department of Neuroscience, University of California at San Diego, La Jolla, CA, USA
| | - Owen Carmichael
- Department of Neurology, University of California at Davis, Davis, CA, USA
| | - Christopher Ching
- Department of Neurology, Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - Charles DeCarli
- Department of Neurology, University of California at Davis, Davis, CA, USA; Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Rahul S Desikan
- Department of Radiology, University of California at San Diego, La Jolla, CA, USA
| | - Christine Fennema-Notestine
- Department of Radiology, University of California at San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California at San Diego, La Jolla, CA, USA
| | - Anders M Fjell
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Evan Fletcher
- Department of Neurology, University of California at Davis, Davis, CA, USA; Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Nick C Fox
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Jeff Gunter
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Boris A Gutman
- Department of Neurology, Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - Dominic Holland
- Department of Neuroscience, University of California at San Diego, La Jolla, CA, USA
| | - Xue Hua
- Department of Neurology, Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - Philip Insel
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Ron J Killiany
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | | | - Kelvin K Leung
- Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Scott Mackin
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA; Department of Psychiatry, University of California at San Francisco, San Francisco, CA, USA
| | - Pauline Maillard
- Department of Neurology, University of California at Davis, Davis, CA, USA; Center for Neuroscience, University of California at Davis, Davis, CA, USA
| | - Ian B Malone
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Niklas Mattsson
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Linda McEvoy
- Department of Radiology, University of California at San Diego, La Jolla, CA, USA
| | - Marc Modat
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Susanne Mueller
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA; Department of Radiology, University of California at San Francisco, San Francisco, CA, USA
| | - Rachel Nosheny
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA; Department of Radiology, University of California at San Francisco, San Francisco, CA, USA
| | - Sebastien Ourselin
- Department of Neurodegenerative Disease, Dementia Research Centre, Institute of Neurology, University College London, London, UK; Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom
| | - Norbert Schuff
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA; Department of Radiology, University of California at San Francisco, San Francisco, CA, USA
| | | | - Alix Simonson
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Paul M Thompson
- Department of Neurology, Imaging Genetics Center, Institute for Neuroimaging & Informatics, University of Southern California, Marina del Rey, CA, USA
| | - Dan Rettmann
- MR Applications and Workflow, GE Healthcare, Rochester, MN, USA
| | | | | | | | - Samantha Zuk
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Michael Weiner
- Department of Radiology and Biomedical Imaging, Center for Imaging of Neurodegenerative Diseases, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA; Department of Psychiatry, University of California at San Francisco, San Francisco, CA, USA; Department of Radiology, University of California at San Francisco, San Francisco, CA, USA; Department of Medicine, University of California at San Francisco, San Francisco, CA, USA; Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
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Moya-Alvarado G, Gershoni-Emek N, Perlson E, Bronfman FC. Neurodegeneration and Alzheimer's disease (AD). What Can Proteomics Tell Us About the Alzheimer's Brain? Mol Cell Proteomics 2015; 15:409-25. [PMID: 26657538 DOI: 10.1074/mcp.r115.053330] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Indexed: 11/06/2022] Open
Abstract
Neurodegenerative diseases, such as Alzheimer's diseases (AD), are becoming more prevalent as the population ages. However, the mechanisms that lead to synapse destabilization and neuron death remain elusive. The advent of proteomics has allowed for high-throughput screening methods to search for biomarkers that could lead to early diagnosis and treatment and to identify alterations in the cellular proteome that could provide insight into disease etiology and possible treatment avenues. In this review, we have concentrated mainly on the findings that are related to how and whether proteomics studies have contributed to two aspects of AD research, the development of biomarkers for clinical diagnostics, and the recognition of proteins that can help elucidate the pathways leading to AD brain pathology. As a result of these studies, several candidate cerebrospinal fluid biomarkers are now available for further validation in different AD cohorts. Studies in AD brain and AD transgenic models support the notion that oxidative damage results in the alterations of metabolic enzymes and that mitochondrial dysfunction is central to AD neuropathology.
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Affiliation(s)
- Guillermo Moya-Alvarado
- From the ‡Millennium Nucleus of Regenerative Biology (MINREB) and CARE Center, Department of Physiology,Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Noga Gershoni-Emek
- §Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler School of Medicine, Tel Aviv University, Israel
| | - Eran Perlson
- §Sagol School of Neuroscience and Department of Physiology and Pharmacology, Sackler School of Medicine, Tel Aviv University, Israel
| | - Francisca C Bronfman
- From the ‡Millennium Nucleus of Regenerative Biology (MINREB) and CARE Center, Department of Physiology,Pontificia Universidad Católica de Chile, Santiago, Chile.;
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Bjerke M, Kern S, Blennow K, Zetterberg H, Waern M, Börjesson-Hanson A, Östling S, Kern J, Skoog I. Cerebrospinal Fluid Fatty Acid-Binding Protein 3 is Related to Dementia Development in a Population-Based Sample of Older Adult Women Followed for 8 Years. J Alzheimers Dis 2015; 49:733-41. [DOI: 10.3233/jad-150525] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Maria Bjerke
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- UCL Institute of Neurology, Queen Square, London, UK
| | - Margda Waern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Anne Börjesson-Hanson
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Svante Östling
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jürgen Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
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Leung YY, Toledo JB, Nefedov A, Polikar R, Raghavan N, Xie SX, Farnum M, Schultz T, Baek Y, Deerlin VV, Hu WT, Holtzman DM, Fagan AM, Perrin RJ, Grossman M, Soares HD, Kling MA, Mailman M, Arnold SE, Narayan VA, Lee VMY, Shaw LM, Baker D, Wittenberg GM, Trojanowski JQ, Wang LS. Identifying amyloid pathology-related cerebrospinal fluid biomarkers for Alzheimer's disease in a multicohort study. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2015; 1:339-348. [PMID: 26693175 PMCID: PMC4672388 DOI: 10.1016/j.dadm.2015.06.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION The dynamic range of cerebrospinal fluid (CSF) amyloid β (Aβ1-42) measurement does not parallel to cognitive changes in Alzheimer's disease (AD) and cognitively normal (CN) subjects across different studies. Therefore, identifying novel proteins to characterize symptomatic AD samples is important. METHODS Proteins were profiled using a multianalyte platform by Rules Based Medicine (MAP-RBM). Due to underlying heterogeneity and unbalanced sample size, we combined subjects (344 AD and 325 CN) from three cohorts: Alzheimer's Disease Neuroimaging Initiative, Penn Center for Neurodegenerative Disease Research of the University of Pennsylvania, and Knight Alzheimer's Disease Research Center at Washington University in St. Louis. We focused on samples whose cognitive and amyloid status was consistent. We performed linear regression (accounted for age, gender, number of APOE e4 alleles, and cohort variable) to identify amyloid-related proteins for symptomatic AD subjects in this largest ever CSF-based MAP-RBM study. ANOVA and Tukey's test were used to evaluate if these proteins were related to cognitive impairment changes as measured by mini-mental state examination (MMSE). RESULTS Seven proteins were significantly associated with Aβ1-42 levels in the combined cohort (false discovery rate adjusted P < .05), of which lipoprotein a (Lp(a)), prolactin (PRL), resistin, and vascular endothelial growth factor (VEGF) have consistent direction of associations across every individual cohort. VEGF was strongly associated with MMSE scores, followed by pancreatic polypeptide and immunoglobulin A (IgA), suggesting they may be related to staging of AD. DISCUSSION Lp(a), PRL, IgA, and tissue factor/thromboplastin have never been reported for AD diagnosis in previous individual CSF-based MAP-RBM studies. Although some of our reported analytes are related to AD pathophysiology, others' roles in symptomatic AD samples worth further explorations.
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Affiliation(s)
- Yuk Yee Leung
- Department of Pathology & Laboratory Medicine, Institute on Aging, Institute for Biomedical Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jon B Toledo
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Alexey Nefedov
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Robi Polikar
- Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA
| | - Nandini Raghavan
- Department of Quantitative Science, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Sharon X Xie
- Department of Biostatistics and Epidemiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Farnum
- Department of Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Tim Schultz
- Department of Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Young Baek
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Vivianna V Deerlin
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - William T Hu
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - David M Holtzman
- Department of Neurology, Knight Alzheimer's Disease Research Center, Hope Center for Neurodegenerative Disorders, Washington University, St Louis, MO, USA
| | - Anne M Fagan
- Department of Neurology, Knight Alzheimer's Disease Research Center, Hope Center for Neurodegenerative Disorders, Washington University, St Louis, MO, USA
| | - Richard J Perrin
- Department of Pathology and Immunology, Division of Neuropathology, Knight Alzheimer Disease Research Center, Hope Center for Neurological Disorders, Washington University, St Louis, MO, USA
| | - Murray Grossman
- Department of Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Holly D Soares
- Clinical Biomarkers, Bristol-Meyer Squibb, Hopewell, NJ, USA
| | - Mitchel A Kling
- Behavioral Health Service, Philadelphia VA Medical Center, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Matthew Mailman
- Department of Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Steven E Arnold
- Department of Neurology, Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Vaibhav A Narayan
- Department of Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Virginia M-Y Lee
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Leslie M Shaw
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - David Baker
- Department of Neuroscience, Janssen Research & Development, LLC, Titusville, NJ, USA
| | - Gayle M Wittenberg
- Department of Neurology, Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology & Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, Philadelphia, PA, USA
| | - Li-San Wang
- Department of Pathology & Laboratory Medicine, Institute on Aging, Institute for Biomedical Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Spellman DS, Wildsmith KR, Honigberg LA, Tuefferd M, Baker D, Raghavan N, Nairn AC, Croteau P, Schirm M, Allard R, Lamontagne J, Chelsky D, Hoffmann S, Potter WZ. Development and evaluation of a multiplexed mass spectrometry based assay for measuring candidate peptide biomarkers in Alzheimer's Disease Neuroimaging Initiative (ADNI) CSF. Proteomics Clin Appl 2015; 9:715-31. [PMID: 25676562 DOI: 10.1002/prca.201400178] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 12/19/2014] [Accepted: 02/05/2015] [Indexed: 11/09/2022]
Abstract
PURPOSE We describe the outcome of the Biomarkers Consortium CSF Proteomics Project (where CSF is cerebral spinal fluid), a public-private partnership of government, academia, nonprofit, and industry. The goal of this study was to evaluate a multiplexed MS-based approach for the qualification of candidate Alzheimer's disease (AD) biomarkers using CSF samples from the AD Neuroimaging Initiative. EXPERIMENTAL DESIGN Reproducibility of sample processing, analytic variability, and ability to detect a variety of analytes of interest were thoroughly investigated. Multiple approaches to statistical analyses assessed whether panel analytes were associated with baseline pathology (mild cognitive impairment (MCI), AD) versus healthy controls or associated with progression for MCI patients, and included (i) univariate association analyses, (ii) univariate prediction models, (iii) exploratory multivariate analyses, and (iv) supervised multivariate analysis. RESULTS A robust targeted MS-based approach for the qualification of candidate AD biomarkers was developed. The results identified several peptides with potential diagnostic or predictive utility, with the most significant differences observed for the following peptides for differentiating (including peptides from hemoglobin A, hemoglobin B, and superoxide dismutase) or predicting (including peptides from neuronal pentraxin-2, neurosecretory protein VGF (VGF), and secretogranin-2) progression versus nonprogression from MCI to AD. CONCLUSIONS AND CLINICAL RELEVANCE These data provide potential insights into the biology of CSF in AD and MCI progression and provide a novel tool for AD researchers and clinicians working to improve diagnostic accuracy, evaluation of treatment efficacy, and early diagnosis.
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Affiliation(s)
- Daniel S Spellman
- Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck Research Laboratories, Pennsylvania, PA, USA
| | - Kristin R Wildsmith
- Department of Pharmacodynamic Biomarkers within Development Sciences, Genentech, Inc (a member of the Roche Group), South San Francisco, CA, USA
| | - Lee A Honigberg
- Department of Pharmacodynamic Biomarkers within Development Sciences, Genentech, Inc (a member of the Roche Group), South San Francisco, CA, USA
| | - Marianne Tuefferd
- Discovery Sciences, Janssen Research & Development LLC, Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium
| | - David Baker
- Janssen Research & Development LLC, Titusville, NJ, USA
| | | | - Angus C Nairn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | | | | | - Rene Allard
- Caprion Pharmaceuticals, Montreal, QC, Canada
| | | | | | - Steven Hoffmann
- Foundation for the National Institutes of Health, Inc, Bethesda, MD, USA
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Tan SJ, Zhang X, Jin XK, Li WW, Li JY, Wang Q. Fatty acid binding protein FABP3 from Chinese mitten crab Eriocheir sinensis participates in antimicrobial responses. FISH & SHELLFISH IMMUNOLOGY 2015; 43:264-274. [PMID: 25559445 DOI: 10.1016/j.fsi.2014.12.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2014] [Revised: 12/22/2014] [Accepted: 12/23/2014] [Indexed: 06/04/2023]
Abstract
Intracellular fatty acid-binding proteins (FABPs) are members of the lipid-binding protein superfamily. Aside from the main functions of FABPs in the uptake and transport of fatty acids, they are also critical in innate immunology. In this work, the full-length cDNA for a Chinese mitten crab Eriocheir sinensis FABP (Es-FABP3) was cloned with an open reading frame of 402 bp encoding a 133 amino acid polypeptide. Analysis using quantitative real-time PCR (qPCR) revealed that Es-FABP3 transcripts were widely distributed in gills, muscle, intestine, hepatopancreas, eyestalk, heart, stomach, brain, thoracic ganglia and hemocytes. After challenge with pathogen associated molecular pattern molecules (PAMPs), the relative mRNA expression levels of Es-FABP3 increased in hepatopancreas, gills and hemocytes. Moreover, the mature recombinant Es-FABP3 protein exhibited different binding activities to bacteria and fungus and inhibited the growth of different microbes. These collective results demonstrated the role of Es-FABP3 in the immunoreactions of E. sinensis to PAMPs.
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Affiliation(s)
- Shang-Jian Tan
- School of Life Science, East China Normal University, Shanghai, China
| | - Xing Zhang
- School of Life Science, East China Normal University, Shanghai, China
| | - Xing-Kun Jin
- School of Life Science, East China Normal University, Shanghai, China
| | - Wei-Wei Li
- School of Life Science, East China Normal University, Shanghai, China
| | - Jia-Yao Li
- Aquatic Animal Breeding Center of Shanghai University Knowledge Service Platform, Shanghai Ocean University, Shanghai, China.
| | - Qun Wang
- School of Life Science, East China Normal University, Shanghai, China.
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Fonteh AN, Cipolla M, Chiang J, Arakaki X, Harrington MG. Human cerebrospinal fluid fatty acid levels differ between supernatant fluid and brain-derived nanoparticle fractions, and are altered in Alzheimer's disease. PLoS One 2014; 9:e100519. [PMID: 24956173 PMCID: PMC4067345 DOI: 10.1371/journal.pone.0100519] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 05/28/2014] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Although saturated (SAFA), monounsaturated (MUFA), and polyunsaturated (PUFA) fatty acids are important structural components of neuronal membranes and precursors of signaling molecules, knowledge of their metabolism in Alzheimer's disease (AD) is limited. Based on recent discovery that lipids in cerebrospinal fluid (CSF) are distributed in both brain-derived nanoparticles (NP) and supernatant fluid (SF), we hypothesized that fatty acid (FA) abundance and distribution into these compartments is altered in early AD pathology. METHODOLOGY AND FINDINGS We assayed the FA composition and abundance in CSF fractions from cognitively healthy (CH), mild cognitive impairment (MCI), and AD study participants using gas chromatography-mass spectrometry. In the SF fraction, concentration of docosahexaenoic acid [DHA, (C22:6n-3)] was less in AD compared with CH, while alpha linolenic acid [α-LNA, (C18:3n-3)] was lower in MCI compared with CH. In the NP fraction, levels of SAFAs (C15:0, C16:0) and a MUFA (C15:1) differentiated CH from MCI, while two MUFAs (C15:1, C19:1) and four PUFAs (C20:2n-6, C20:3n-3, C22:4n-6, C22:5n-3) were higher in AD compared with CH. Levels of even-chain free SAFA and total free FA levels were higher in AD, levels of odd-chain free SAFAs, MUFAs, n-3 PUFAs, and total PUFA, were lower in AD compared with CH. Free n-6 PUFA levels were similar in all three groups. CONCLUSIONS AND SIGNIFICANCE FA metabolism is compartmentalized differently in NP versus SF fractions of CSF, and altered FA levels reflect the importance of abnormal metabolism and oxidative pathways in AD. Depleted DHA in CSF fractions in AD is consistent with the importance of n-3 PUFAs in cognitive function, and suggests that disturbed PUFA metabolism contributes to AD pathology. This study of FA levels in CSF fractions from different cognitive stages shows potential AD biomarkers, and provides further insight into cell membrane dysfunctions, including mechanisms leading to amyloid production.
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Affiliation(s)
- Alfred N. Fonteh
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Matthew Cipolla
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Jiarong Chiang
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Xianghong Arakaki
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
| | - Michael G. Harrington
- Molecular Neurology Program, Huntington Medical Research Institutes, Pasadena, California, United States of America
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