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  • 1
    In: Brain, Oxford University Press (OUP), Vol. 142, No. 10 ( 2019-10-01), p. 3243-3264
    Abstract: Microglia have been implicated in amyloid beta-induced neuropathology, but their role in tau-induced neurodegeneration remains unclear. Mancuso et al. report that blockade of microglial proliferation by CSF1R inhibitor JNJ-40346527 modifies brain inflammation and ameliorates disease progression in P301S tauopathy mice. CSF1R inhibition may have therapeutic potential in tau-mediated neurodegenerative diseases.
    Type of Medium: Online Resource
    ISSN: 0006-8950 , 1460-2156
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 1474117-9
    SSG: 12
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  • 2
    In: BMC Medicine, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2022-12)
    Abstract: Donepezil, galantamine, rivastigmine and memantine are potentially effective interventions for cognitive impairment in dementia, but the use of these drugs has not been personalised to individual patients yet. We examined whether artificial intelligence-based recommendations can identify the best treatment using routinely collected patient-level information. Methods Six thousand eight hundred four patients aged 59–102 years with a diagnosis of dementia from two National Health Service (NHS) Foundation Trusts in the UK were used for model training/internal validation and external validation, respectively. A personalised prescription model based on the Recurrent Neural Network machine learning architecture was developed to predict the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores post-drug initiation. The drug that resulted in the smallest decline in cognitive scores between prescription and the next visit was selected as the treatment of choice. Change of cognitive scores up to 2 years after treatment initiation was compared for model evaluation. Results Overall, 1343 patients with MMSE scores were identified for internal validation and 285 [21.22%] took the drug recommended. After 2 years, the reduction of mean [standard deviation] MMSE score in this group was significantly smaller than the remaining 1058 [78.78%] patients (0.60 [0.26] vs 2.80 [0.28]; P = 0.02). In the external validation cohort ( N = 1772), 222 [12.53%] patients took the drug recommended and reported a smaller MMSE reduction compared to the 1550 [87.47%] patients who did not (1.01 [0.49] vs 4.23 [0.60] ; P = 0.01). A similar performance gap was seen when testing the model on patients prescribed with AChEIs only. Conclusions It was possible to identify the most effective drug for the real-world treatment of cognitive impairment in dementia at an individual patient level. Routine care patients whose prescribed medications were the best fit according to the model had better cognitive performance after 2 years.
    Type of Medium: Online Resource
    ISSN: 1741-7015
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2131669-7
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  • 3
    In: Cells, MDPI AG, Vol. 8, No. 5 ( 2019-05-08), p. 425-
    Abstract: As genome-wide association studies (GWAS) have grown in size, the number of genetic variants that have been associated per disease has correspondingly increased. Despite this increase in the number of single-nucleotide polymorphisms (SNPs) identified per disease, their biological interpretation has in many cases remained elusive. To address this, we have combined GWAS results with orthogonal sources of evidence, namely the current knowledge of molecular pathways; real-world clinical data from six million patients; RNA expression across tissues from Alzheimer’s disease (AD) patients, and purpose-built rodent models for experimental validation. In more detail, first we show that when examined at a pathway level, analysis of all GWAS studies groups AD in a cluster with disorders of immunity and inflammation. Using clinical data, we show that the degree of comorbidity of these diseases with AD correlates with the strength of their genetic association with molecular participants in the Janus kinases/signal transducer and activator of transcription (JAK-STAT) pathway. Using four independent RNA expression datasets we then find evidence for the altered regulation of JAK-STAT pathway genes in AD. Finally, we use both in vitro and in vivo rodent models to demonstrate that Aβ induces gene expression of the key drivers of this pathway, providing experimental evidence to validate these data-driven observations. These results therefore nominate JAK-STAT anomalies as a prominent aetiopathological event in AD and hence a potential target for therapeutic development, and moreover demonstrate a de novo multi-modal approach to derive information from rapidly increasing genomic datasets.
    Type of Medium: Online Resource
    ISSN: 2073-4409
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2661518-6
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  • 4
    In: Journal of Alzheimer's Disease, IOS Press, Vol. 77, No. 3 ( 2020-09-29), p. 1353-1368
    Abstract: Background: Previous studies suggest that Dickkopf-1 (DKK1), an inhibitor of Wnt signaling, plays a role in amyloid-induced toxicity and hence Alzheimer’s disease (AD). However, the effect of DKK1 expression on protein expression, and whether such proteins are altered in disease, is unknown. Objective: We aim to test whether DKK1 induced protein signature obtained in vitro were associated with markers of AD pathology as used in the amyloid/tau/neurodegeneration (ATN) framework as well as with clinical outcomes. Methods: We first overexpressed DKK1 in HEK293A cells and quantified 1,128 proteins in cell lysates using aptamer capture arrays (SomaScan) to obtain a protein signature induced by DKK1. We then used the same assay to measure the DKK1-signature proteins in human plasma in two large cohorts, EMIF (n = 785) and ANM (n = 677). Results: We identified a 100-protein signature induced by DKK1 in vitro. Subsets of proteins, along with age and apolipoprotein E ɛ4 genotype distinguished amyloid pathology (A + T–N–, A+T+N–, A+T–N+, and A+T+N+) from no AD pathology (A–T–N–) with an area under the curve of 0.72, 0.81, 0.88, and 0.85, respectively. Furthermore, we found that some signature proteins (e.g., Complement C3 and albumin) were associated with cognitive score and AD diagnosis in both cohorts. Conclusions: Our results add further evidence for a role of DKK regulation of Wnt signaling in AD and suggest that DKK1 induced signature proteins obtained in vitro could reflect theATNframework as well as predict disease severity and progression in vivo.
    Type of Medium: Online Resource
    ISSN: 1387-2877 , 1875-8908
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2020
    detail.hit.zdb_id: 2070772-1
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2009
    In:  BMC Neuroscience Vol. 10, No. S1 ( 2009-9)
    In: BMC Neuroscience, Springer Science and Business Media LLC, Vol. 10, No. S1 ( 2009-9)
    Type of Medium: Online Resource
    ISSN: 1471-2202
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2009
    detail.hit.zdb_id: 2041344-0
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  • 6
    In: Alzheimer's & Dementia, Wiley, Vol. 15, No. 11 ( 2019-11), p. 1478-1488
    Abstract: Plasma proteins have been widely studied as candidate biomarkers to predict brain amyloid deposition to increase recruitment efficiency in secondary prevention clinical trials for Alzheimer's disease. Most such biomarker studies are targeted to specific proteins or are biased toward high abundant proteins. Methods 4001 plasma proteins were measured in two groups of participants (discovery group = 516, replication group = 365) selected from the European Medical Information Framework for Alzheimer's disease Multimodal Biomarker Discovery study, all of whom had measures of amyloid. Results A panel of proteins (n = 44), along with age and apolipoprotein E ( APOE ) ε4, predicted brain amyloid deposition with good performance in both the discovery group (area under the curve = 0.78) and the replication group (area under the curve = 0.68). Furthermore, a causal relationship between amyloid and tau was confirmed by Mendelian randomization. Discussion The results suggest that high‐dimensional plasma protein testing could be a useful and reproducible approach for measuring brain amyloid deposition.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2201940-6
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  • 7
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S6 ( 2022-12)
    Abstract: A diverse set of biological processes have been implicated in the pathophysiology of Alzheimer’s disease (AD) and related dementias. However, there is limited understanding of the biological pathways mechanistically relevant in the earliest phase of disease and a lack of protein biomarkers available to capture the biological systems involved. Method To discover early biomarkers and further understand on a molecular level the systemic factors that may promote neurodegeneration, we used a large‐scale proteomic platform to relate 4,877 plasma proteins measured in middle‐aged adults to dementia risk over a 25‐year period ( n =10,981; 1,874 incident dementia cases) in the Atherosclerosis Risk in Communities (ARIC) study ( Figure 1 ). Dementia‐associated proteins were related to 20‐year cognitive decline in the Whitehall II study, and to AD risk and CSF biomarkers European Medical Information Framework‐AD study. Result Proteome‐wide association study in ARIC discovered 32 midlife dementia‐associated plasma proteins, the majority of which were involved in either immune function, proteostasis/autophagy, or extracellular matrix organization ( Figure 2 ). We replicated the relationship between candidate proteins and neurocognitive outcomes in multiple independent cohorts and demonstrated a relationship between dementia‐associated plasma proteins and cerebrospinal fluid markers of Aß42, p‐tau181, neurodegeneration, and neuroinflammation ( Figure 3 ). Using network analysis, we identified 19 co‐expressed protein modules, 4 of which were strongly associated with either short‐term and long‐term dementia risk ( Figure 4 ). Pathway analyses conducted for the dementia‐associated protein modules suggested dysregulation of specific immune pathways (e.g., JAK‐STAT signaling, Toll‐like receptor activation) and disrupted proteostasis/autophagy and extracellular matrix organization during midlife ∼20 years before dementia onset, and abnormal coagulation/complement signaling ∼10 years before dementia onset ( Figure 5 ). We used two‐sample Mendelian randomization to identify which midlife plasma proteins and protein networks may play a mechanistic role in Alzheimer’s disease, and demonstrated that many of the dementia‐associated proteins may play a causal role in systemic inflammatory and autoimmune diseases associated with heightened AD/dementia risk. Conclusion This work sheds light on the complexity of the systemic immune response in the decades preceding dementia onset and highlights multiple potential biomarkers and therapeutic targets for early AD.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 8
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S6 ( 2022-12)
    Abstract: A diverse set of biological processes have been implicated in the pathophysiology of Alzheimer’s disease (AD). However, there is limited understanding of the biological pathways mechanistically relevant in the earliest phase of disease and a lack of protein biomarkers available to capture the biological systems involved. Method To discover early biomarkers and further understand on a molecular level the systemic factors that may promote neurodegeneration, we used a large‐scale proteomic platform to relate 4,877 plasma proteins measured in middle‐aged adults to dementia risk over a 25‐year period ( n =10,981; 1,874 incident dementia cases) in the Atherosclerosis Risk in Communities (ARIC) study ( Figure 1 ). Associated proteins were related to 20‐year cognitive decline in the Whitehall II study, and to AD risk and CSF biomarkers in the European Medical Information Framework‐AD (EMIF‐AD) study. Result Proteome‐wide associations in ARIC discovered 32 dementia‐associated plasma proteins involved in proteostasis, immunity, synaptic function, and extracellular matrix organization ( Figure 2 ). We replicated the relationship between 15 candidate proteins and neurocognitive outcomes in Whitehall or EMIF‐AD, and demonstrated that dementia‐associated plasma proteins are associated with cerebrospinal fluid markers of Aß42, p‐tau181, neurodegeneration, and neuroinflammation ( Figure 3 ). We found many of the protein biomarkers were abnormally expressed in AD brain tissue, though some of the strongest midlife dementia‐associated proteins (e.g., GDF‐15) were not detected in brain. Using network analyses, we found an evolving plasma protein signature for dementia risk suggesting a dysregulation of specific immune pathways and disrupted proteostasis/autophagy and extracellular matrix organization in midlife ∼20 years before dementia onset, and abnormal coagulation/complement signaling ∼10 years before dementia onset ( Figure 4 ). We used two‐sample Mendelian randomization to identify which midlife plasma proteins and protein networks may play a causal role in Alzheimer’s disease and demonstrated that many of the dementia‐associated proteins may play a causal role in systemic (e.g., vascular, inflammatory) diseases associated with increased AD/dementia risk. We used the totality of evidence to prioritize midlife plasma proteins as AD/dementia biomarkers linked to discrete pathophysiological processes. Conclusion The current study identified multiple pathway‐specific biomarkers and potential therapeutic targets likely relevant in the earliest phase of the AD and related dementia.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 9
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. 8 ( 2023-08), p. 3350-3364
    Abstract: This study employed an integrative system and causal inference approach to explore molecular signatures in blood and CSF, the amyloid/tau/neurodegeneration [AT(N)] framework, mild cognitive impairment (MCI) conversion to Alzheimer's disease (AD), and genetic risk for AD. Methods Using the European Medical Information Framework (EMIF)‐AD cohort, we measured 696 proteins in cerebrospinal fluid ( n  = 371), 4001 proteins in plasma ( n  = 972), 611 metabolites in plasma ( n  = 696), and genotyped whole‐blood (7,778,465 autosomal single nucleotide epolymorphisms, n  = 936). We investigated associations: molecular modules to AT(N), module hubs with AD Polygenic Risk scores and APOE4 genotypes, molecular hubs to MCI conversion and probed for causality with AD using Mendelian randomization (MR). Results AT(N) framework associated with protein and lipid hubs. In plasma, Proprotein Convertase Subtilisin/Kexin Type 7 showed evidence for causal associations with AD. AD was causally associated with Reticulocalbin 2 and sphingomyelins, an association driven by the APOE isoform. Discussion This study reveals multi‐omics networks associated with AT(N) and causal AD molecular candidates.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2201940-6
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  • 10
    In: Alzheimer's & Dementia, Wiley, Vol. 19, No. S8 ( 2023-06)
    Abstract: Hypertension is a well‐established risk factor for dementia and antihypertensive treatments could be important for disease prevention. Observational and animal studies suggest Angiotensin‐Converting Enzyme Inhibitors (ACEIs) are associated with reduced dementia risk whereas genetic studies show these drugs increase risk. One plausible explanation of this heterogeneity is that not all ACEIs cross the blood–brain barrier (BBB) and their association with disease risk may depend on whether or not the specific molecule crosses the blood brain barrier. We investigated the association of centrally vs non‐centrally active ACEIs with incident dementia compared using medical records from the USA (OPTUM). Methods This is a retrospective new‐user comparative cohort study using patients ≥50 years old with hypertension who were new users of centrally active ACEIs (captopril, fosinopril, lisinopril, perindopril, ramipril, trandolapril; n = 327,663 or non‐centrally active ACEIs (n = 30,867) (benazepril, enalapril, moexipril, quinapril). Patients were followed for up to 10 years (2006‐2018) during which 11,422 dementia cases were diagnosed. Stratified Cox proportional hazards models were used to estimate the hazard ratio (HR) of incidence all‐cause dementia and sub types over the follow up period, controlling for age, demographics such as geographic location and other comorbidities such as stroke, myocardial infarction and diabetes. Results In unadjusted and adjusted models, new users of centrally active ACEIs had a slightly greater risk for all cause dementia and vascular dementia but not for Alzheimer’s disease. HR for unadjusted models were 1.08 (95% CI 1.01‐1.15), 1.34 (95% CI 1.13‐1.60) and 1.00 (95% CI 0.90‐1.12) for all cause dementia, vascular dementia and Alzheimer’s disease respectively. Whereas HR for adjusted models for all cause dementia, vascular dementia and Alzheimer’s disease were 1.16 (95% CI 1.09‐1.24), 1.35 (95% CI 1.12‐1.62) and 1.10 (95% CI 0.98‐1.23) respectively. Conclusions Our results potentially indicate centrally active ACEIs are associated with a slightly higher risk of all‐cause dementia compared to non‐centrally active ACEIs. This work supports causal genetics studies which indicate links between ACE inhibitors in the brain with increased dementia risk. Future work will investigate whether other antihypertensive drug classes differ in risk based on blood brain barrier penetrating ability.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2201940-6
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