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Li J, Li X, Chen F, Li W, Chen J, Zhang B. Studying the Alzheimer's disease continuum using EEG and fMRI in single-modality and multi-modality settings. Rev Neurosci 2024; 35:373-386. [PMID: 38157429 DOI: 10.1515/revneuro-2023-0098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 12/01/2023] [Indexed: 01/03/2024]
Abstract
Alzheimer's disease (AD) is a biological, clinical continuum that covers the preclinical, prodromal, and clinical phases of the disease. Early diagnosis and identification of the stages of Alzheimer's disease (AD) are crucial in clinical practice. Ideally, biomarkers should reflect the underlying process (pathological or otherwise), be reproducible and non-invasive, and allow repeated measurements over time. However, the currently known biomarkers for AD are not suitable for differentiating the stages and predicting the trajectory of disease progression. Some objective parameters extracted using electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are widely applied to diagnose the stages of the AD continuum. While electroencephalography (EEG) has a high temporal resolution, fMRI has a high spatial resolution. Combined EEG and fMRI (EEG-fMRI) can overcome single-modality drawbacks and obtain multi-dimensional information simultaneously, and it can help explore the hemodynamic changes associated with the neural oscillations that occur during information processing. This technique has been used in the cognitive field in recent years. This review focuses on the different techniques available for studying the AD continuum, including EEG and fMRI in single-modality and multi-modality settings, and the possible future directions of AD diagnosis using EEG-fMRI.
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Affiliation(s)
- Jing Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Xin Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Futao Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Weiping Li
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Jiu Chen
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
| | - Bing Zhang
- Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, 210008, China
- Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, Jiangsu, 210008, China
- Medical Imaging Center, The Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210008, China
- Jiangsu Key Laboratory of Molecular Medicine, Nanjing, Jiangsu, 210008, China
- Institute of Brain Science, Nanjing University, Nanjing, Jiangsu, 210008, China
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2
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Lorenzini L, Zanella L, Sannia M, Baldassarro VA, Moretti M, Cescatti M, Quadalti C, Baldi S, Bartolucci G, Di Gloria L, Ramazzotti M, Clavenzani P, Costanzini A, De Giorgio R, Amedei A, Calzà L, Giardino L. Experimental colitis in young Tg2576 mice accelerates the onset of an Alzheimer's-like clinical phenotype. Alzheimers Res Ther 2024; 16:116. [PMID: 38773640 PMCID: PMC11110243 DOI: 10.1186/s13195-024-01471-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 05/01/2024] [Indexed: 05/24/2024]
Abstract
Systemic inflammation and neuroinflammation affect the natural course of the sporadic form of Alzheimer's disease (AD), as supported by epidemiological and preclinical data, and several epidemiological studies indicate a higher prevalence of AD in patients with inflammatory bowel disease. In this study, we explored whether colitis induced by dextran sulfate sodium (DSS) in young, presymptomatic/preplaque mice worsens and/or anticipates age-dependent cognitive impairment in Tg2576, a widely used mouse model of AD. We demonstrated that DSS colitis induced in young Tg2576 mice anticipates the onset age of learning and memory deficit in the Morris water maze test. To explore potential mechanisms behind the acceleration of cognitive decline in Tg2576 mice by DSS colitis, we focused on gut microbiota, systemic inflammation and neuroinflammation markers. We observed a Firmicutes/Bacteroidetes ratio change in Tg2576 DSS animals comparable to that of elderly Tg2576 mice, suggesting accelerated microbiota aging in Tg2576 DSS mice, a change not observed in C57BL6 DSS mice. We also observed substantial differences between Tg2576 and WT mice in several inflammation and neuroinflammation-related parameters as early as 3 months of age, well before plaque deposition, a picture which evolved rapidly (between 3 and 5.5 months of age) in contrast to Tg2576 and WT littermates not treated with DSS. In detail, following induction of DSS colitis, WT and Tg2576 mice exhibited contrasting features in the expression level of inflammation-evoked astrocyte-associated genes in the hippocampus. No changes in microglial features occurred in the hippocampus between the experimental groups, whereas a reduced glial fibrillary acidic protein immunoreactivity was observed in Tg2576 vs. WT mice. This finding may reflect an atrophic, "loss-of-function" profile, further exacerbated by DSS where a decreased of GFAP mRNA expression level was detected. In conclusion, we suggest that as-yet unidentified peripheral mediators evoked by DSS colitis and involving the gut-brain axis emphasize an astrocyte "loss-of-function" profile present in young Tg2576 mice, leading to impaired synaptic morphological and functional integrity as a very early sign of AD.
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Affiliation(s)
- Luca Lorenzini
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | - Lorenzo Zanella
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | | | | | - Marzia Moretti
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | | | - Corinne Quadalti
- Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via Tolara di Sopra 41/E, Bologna, 40064, Ozzano Emilia, Italy
| | - Simone Baldi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Gianluca Bartolucci
- Department of Neuroscience, Psychology, Drug Research and Child Health NEUROFARBA, University of Florence, Florence, Italy
| | - Leandro Di Gloria
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Matteo Ramazzotti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Paolo Clavenzani
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
| | - Anna Costanzini
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Roberto De Giorgio
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Amedeo Amedei
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Laura Calzà
- Department of Pharmacy and Biotechnology (FaBiT), University of Bologna, Via Tolara di Sopra 41/E, Bologna, 40064, Ozzano Emilia, Italy.
| | - Luciana Giardino
- Department of Veterinary Medical Sciences (DIMEVET), University of Bologna, Bologna, Italy
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3
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Peña-Bautista C, Álvarez-Sánchez L, García-Lluch G, Raga L, Quevedo P, Peretó M, Balaguer A, Baquero M, Cháfer-Pericás C. Relationship between Plasma Lipid Profile and Cognitive Status in Early Alzheimer Disease. Int J Mol Sci 2024; 25:5317. [PMID: 38791355 PMCID: PMC11120743 DOI: 10.3390/ijms25105317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024] Open
Abstract
Alzheimer disease (AD) is a heterogeneous and complex disease in which different pathophysiological mechanisms are involved. This heterogenicity can be reflected in different atrophy patterns or clinical manifestations. Regarding biochemical pathways involved in early AD, lipid metabolism plays an important role; therefore, lipid levels have been evaluated as potential AD diagnosis biomarkers, and their levels could be related to different AD clinical manifestations. Therefore, the aim of this work is to study AD lipid profiles from early AD patients and evaluate their clinical significance. For this purpose, untargeted plasma lipidomic analysis was carried out in early AD patients (n = 31) diagnosed with cerebrospinal fluid (CSF) biomarkers. Cluster analysis was carried out to define early AD subgroups according to the lipid levels. Then, the clinical significance of each lipid profile subgroup was studied, analyzing differences for other variables (cognitive status, CSF biomarkers, medication, comorbidities, age, and gender). The cluster analysis revealed two different groups of AD patients. Cluster 1 showed higher levels of plasma lipids and better cognitive status than Cluster 2. However, no differences were found for the other variables (age, gender, medication, comorbidities, cholesterol, and triglycerides levels) between both groups. Plasma lipid levels could differentiate two early AD subgroups, which showed different cognitive statuses. However, further research with a large cohort and longitudinal study evaluating the clinical evolution of these patients is required. In general, it would involve a relevant advance in the knowledge of AD pathological mechanisms, potential treatments, and precision medicine.
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Affiliation(s)
- Carmen Peña-Bautista
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Lourdes Álvarez-Sánchez
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Gemma García-Lluch
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Luis Raga
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Paola Quevedo
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Mar Peretó
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
| | - Angel Balaguer
- Faculty of Mathematical Sciences, University of Valencia, 46100 Burjassot, Spain;
| | - Miguel Baquero
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
- Division of Neurology, Hospital Universitari I Politècnic La Fe, 46026 Valencia, Spain
| | - Consuelo Cháfer-Pericás
- Alzheimer’s Disease Research Group, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain; (C.P.-B.); (L.Á.-S.); (G.G.-L.); (L.R.); (M.P.)
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4
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Yaghoobi A, Malekpour SA. Unraveling the genetic architecture of blood unfolded p-53 among non-demented elderlies: novel candidate genes for early Alzheimer's disease. BMC Genomics 2024; 25:440. [PMID: 38702606 PMCID: PMC11067101 DOI: 10.1186/s12864-024-10363-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 04/29/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a heritable neurodegenerative disease whose long asymptomatic phase makes the early diagnosis of it pivotal. Blood U-p53 has recently emerged as a superior predictive biomarker for AD in the early stages. We hypothesized that genetic variants associated with blood U-p53 could reveal novel loci and pathways involved in the early stages of AD. RESULTS We performed a blood U-p53 Genome-wide association study (GWAS) on 484 healthy and mild cognitively impaired subjects from the ADNI cohort using 612,843 Single nucleotide polymorphisms (SNPs). We performed a pathway analysis and prioritized candidate genes using an AD single-cell gene program. We fine-mapped the intergenic SNPs by leveraging a cell-type-specific enhancer-to-gene linking strategy using a brain single-cell multimodal dataset. We validated the candidate genes in an independent brain single-cell RNA-seq and the ADNI blood transcriptome datasets. The rs279686 between AASS and FEZF1 genes was the most significant SNP (p-value = 4.82 × 10-7). Suggestive pathways were related to the immune and nervous systems. Twenty-three candidate genes were prioritized at 27 suggestive loci. Fine-mapping of 5 intergenic loci yielded nine cell-specific candidate genes. Finally, 15 genes were validated in the independent single-cell RNA-seq dataset, and five were validated in the ADNI blood transcriptome dataset. CONCLUSIONS We underlined the importance of performing a GWAS on an early-stage biomarker of AD and leveraging functional omics datasets for pinpointing causal genes in AD. Our study prioritized nine genes (SORCS1, KIF5C, TMEFF2, TMEM63C, HLA-E, ATAT1, TUBB, ARID1B, and RUNX1) strongly implicated in the early stages of AD.
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Affiliation(s)
- Arash Yaghoobi
- School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, 19395-5746, Iran
| | - Seyed Amir Malekpour
- School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, 19395-5746, Iran.
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Bonifazi G, Luchena C, Gaminde-Blasco A, Ortiz-Sanz C, Capetillo-Zarate E, Matute C, Alberdi E, De Pittà M. A nonlinear meccano for Alzheimer's emergence by amyloid β-mediated glutamatergic hyperactivity. Neurobiol Dis 2024; 194:106473. [PMID: 38493903 DOI: 10.1016/j.nbd.2024.106473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 03/10/2024] [Accepted: 03/10/2024] [Indexed: 03/19/2024] Open
Abstract
The pathophysiological process of Alzheimer's disease (AD) is believed to begin many years before the formal diagnosis of AD dementia. This protracted preclinical phase offers a crucial window for potential therapeutic interventions, yet its comprehensive characterization remains elusive. Accumulating evidence suggests that amyloid-β (Aβ) may mediate neuronal hyperactivity in circuit dysfunction in the early stages of AD. At the same time, neural activity can also facilitate Aβ accumulation through intricate feed-forward interactions, complicating elucidating the conditions governing Aβ-dependent hyperactivity and its diagnostic utility. In this study, we use biophysical modeling to shed light on such conditions. Our analysis reveals that the inherently nonlinear nature of the underlying molecular interactions can give rise to the emergence of various modes of hyperactivity. This diversity in the mechanisms of hyperactivity may ultimately account for a spectrum of AD manifestations.
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Affiliation(s)
- Giulio Bonifazi
- Basque Center for Applied Mathematics, Alameda Mazarredo 14, Bilbao 48009, Bizkaia, Spain; Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto M5T 0S8, ON, Canada
| | - Celia Luchena
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Adhara Gaminde-Blasco
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Carolina Ortiz-Sanz
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Estibaliz Capetillo-Zarate
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Carlos Matute
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Elena Alberdi
- Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Achucarro Basque Center for Neuroscience, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain
| | - Maurizio De Pittà
- Basque Center for Applied Mathematics, Alameda Mazarredo 14, Bilbao 48009, Bizkaia, Spain; Department of Neurosciences, University of the Basque Country, Barrio Sarriena, s/n, Leioa 48940, Bizkaia, Spain; Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto M5T 0S8, ON, Canada; Department of Physiology, University of Toronto, 1 King's College Circle, Toronto M5S 1A8, ON, Canada.
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6
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Mantellatto Grigoli M, Pelegrini LNC, Whelan R, Cominetti MR. Present and Future of Blood-Based Biomarkers of Alzheimer's Disease: Beyond the Classics. Brain Res 2024; 1830:148812. [PMID: 38369085 DOI: 10.1016/j.brainres.2024.148812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 11/13/2023] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
The field of blood-based biomarkers for Alzheimer's disease (AD) has advanced at an incredible pace, especially after the development of sensitive analytic platforms that can facilitate large-scale screening. Such screening will be important when more sophisticated diagnostic methods are scarce and expensive. Thus, blood-based biomarkers can potentially reduce diagnosis inequities among populations from different socioeconomic contexts. This large-scale screening can be performed so that older adults at risk of cognitive decline assessed using these methods can then undergo more complete assessments with classic biomarkers, increasing diagnosis efficiency and reducing costs to the health systems. Blood-based biomarkers can also aid in assessing the effect of new disease-modifying treatments. This paper reviews recent advances in the area, focusing on the following leading candidates for blood-based biomarkers: amyloid-beta (Aβ), phosphorylated tau isoforms (p-tau), neurofilament light (NfL), and glial fibrillary acidic (GFAP) proteins, as well as on new candidates, Neuron-Derived Exosomes contents (NDEs) and Transactive response DNA-binding protein-43 (TDP-43), based on data from longitudinal observational cohort studies. The underlying challenges of validating and incorporating these biomarkers into routine clinical practice and primary care settings are also discussed. Importantly, challenges related to the underrepresentation of ethnic minorities and socioeconomically disadvantaged persons must be considered. If these challenges are overcome, a new time of cost-effective blood-based biomarkers for AD could represent the future of clinical procedures in the field and, together with continued prevention strategies, the beginning of an era with a lower incidence of dementia worldwide.
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Affiliation(s)
| | | | - Robert Whelan
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland; School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Marcia R Cominetti
- Department of Gerontology, Federal University of São Carlos, Brazil; Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
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7
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Lopez E, Etxebarria-Elezgarai J, García-Sebastián M, Altuna M, Ecay-Torres M, Estanga A, Tainta M, López C, Martínez-Lage P, Amigo JM, Seifert A. Unlocking Preclinical Alzheimer's: A Multi-Year Label-Free In Vitro Raman Spectroscopy Study Empowered by Chemometrics. Int J Mol Sci 2024; 25:4737. [PMID: 38731955 PMCID: PMC11084676 DOI: 10.3390/ijms25094737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
Alzheimer's disease is a progressive neurodegenerative disorder, the early detection of which is crucial for timely intervention and enrollment in clinical trials. However, the preclinical diagnosis of Alzheimer's encounters difficulties with gold-standard methods. The current definitive diagnosis of Alzheimer's still relies on expensive instrumentation and post-mortem histological examinations. Here, we explore label-free Raman spectroscopy with machine learning as an alternative to preclinical Alzheimer's diagnosis. A special feature of this study is the inclusion of patient samples from different cohorts, sampled and measured in different years. To develop reliable classification models, partial least squares discriminant analysis in combination with variable selection methods identified discriminative molecules, including nucleic acids, amino acids, proteins, and carbohydrates such as taurine/hypotaurine and guanine, when applied to Raman spectra taken from dried samples of cerebrospinal fluid. The robustness of the model is remarkable, as the discriminative molecules could be identified in different cohorts and years. A unified model notably classifies preclinical Alzheimer's, which is particularly surprising because of Raman spectroscopy's high sensitivity regarding different measurement conditions. The presented results demonstrate the capability of Raman spectroscopy to detect preclinical Alzheimer's disease for the first time and offer invaluable opportunities for future clinical applications and diagnostic methods.
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Affiliation(s)
- Eneko Lopez
- CIC nanoGUNE BRTA, 20018 San Sebasián, Spain; (E.L.); (J.E.-E.)
- Department of Physics, University of the Basque Country (UPV/EHU), 20018 San Sebastián, Spain
| | | | - Maite García-Sebastián
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Miren Altuna
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Mirian Ecay-Torres
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Ainara Estanga
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Mikel Tainta
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Carolina López
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Pablo Martínez-Lage
- Center for Research and Advanced Therapies, CITA-Alzhéimer Foundation, 20009 San Sebastián, Spain; (M.G.-S.); (M.A.); (M.E.-T.); (A.E.); (M.T.); (C.L.); (P.M.-L.)
| | - Jose Manuel Amigo
- IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
- Department of Analytical Chemistry, University of the Basque Country, 48940 Leioa, Spain
| | - Andreas Seifert
- CIC nanoGUNE BRTA, 20018 San Sebasián, Spain; (E.L.); (J.E.-E.)
- IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
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8
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Romano JD, Truong V, Kumar R, Venkatesan M, Graham BE, Hao Y, Matsumoto N, Li X, Wang Z, Ritchie MD, Shen L, Moore JH. The Alzheimer's Knowledge Base: A Knowledge Graph for Alzheimer Disease Research. J Med Internet Res 2024; 26:e46777. [PMID: 38635981 PMCID: PMC11066745 DOI: 10.2196/46777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/23/2023] [Accepted: 11/07/2023] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND As global populations age and become susceptible to neurodegenerative illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data resources for drug discovery and repurposing fail to capture relationships central to the disease's etiology and response to drugs. OBJECTIVE We designed the Alzheimer's Knowledge Base (AlzKB) to alleviate this need by providing a comprehensive knowledge representation of AD etiology and candidate therapeutics. METHODS We designed the AlzKB as a large, heterogeneous graph knowledge base assembled using 22 diverse external data sources describing biological and pharmaceutical entities at different levels of organization (eg, chemicals, genes, anatomy, and diseases). AlzKB uses a Web Ontology Language 2 ontology to enforce semantic consistency and allow for ontological inference. We provide a public version of AlzKB and allow users to run and modify local versions of the knowledge base. RESULTS AlzKB is freely available on the web and currently contains 118,902 entities with 1,309,527 relationships between those entities. To demonstrate its value, we used graph data science and machine learning to (1) propose new therapeutic targets based on similarities of AD to Parkinson disease and (2) repurpose existing drugs that may treat AD. For each use case, AlzKB recovers known therapeutic associations while proposing biologically plausible new ones. CONCLUSIONS AlzKB is a new, publicly available knowledge resource that enables researchers to discover complex translational associations for AD drug discovery. Through 2 use cases, we show that it is a valuable tool for proposing novel therapeutic hypotheses based on public biomedical knowledge.
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Affiliation(s)
- Joseph D Romano
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Center of Excellence in Environmental Toxicology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Van Truong
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Rachit Kumar
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Mythreye Venkatesan
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Britney E Graham
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Yun Hao
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Nick Matsumoto
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Xi Li
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Zhiping Wang
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Marylyn D Ritchie
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Li Shen
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jason H Moore
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States
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9
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Pizzirusso G, Preka E, Goikolea J, Aguilar-Ruiz C, Rodriguez-Rodriguez P, Vazquez-Cabrera G, Laterza S, Latorre-Leal M, Eroli F, Blomgren K, Maioli S, Nilsson P, Fragkopoulou A, Fisahn A, Arroyo-García LE. Dynamic microglia alterations associate with hippocampal network impairments: A turning point in amyloid pathology progression. Brain Behav Immun 2024; 119:286-300. [PMID: 38608739 DOI: 10.1016/j.bbi.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 03/12/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
Alzheimer's disease is a progressive neurological disorder causing memory loss and cognitive decline. The underlying causes of cognitive deterioration and neurodegeneration remain unclear, leading to a lack of effective strategies to prevent dementia. Recent evidence highlights the role of neuroinflammation, particularly involving microglia, in Alzheimer's disease onset and progression. Characterizing the initial phase of Alzheimer's disease can lead to the discovery of new biomarkers and therapeutic targets, facilitating timely interventions for effective treatments. We used the AppNL-G-F knock-in mouse model, which resembles the amyloid pathology and neuroinflammatory characteristics of Alzheimer's disease, to investigate the transition from a pre-plaque to an early plaque stage with a combined functional and molecular approach. Our experiments show a progressive decrease in the power of cognition-relevant hippocampal gamma oscillations during the early stage of amyloid pathology, together with a modification of fast-spiking interneuron intrinsic properties and postsynaptic input. Consistently, transcriptomic analyses revealed that these effects are accompanied by changes in synaptic function-associated pathways. Concurrently, homeostasis- and inflammatory-related microglia signature genes were downregulated. Moreover, we found a decrease in Iba1-positive microglia in the hippocampus that correlates with plaque aggregation and neuronal dysfunction. Collectively, these findings support the hypothesis that microglia play a protective role during the early stages of amyloid pathology by preventing plaque aggregation, supporting neuronal homeostasis, and overall preserving the oscillatory network's functionality. These results suggest that the early alteration of microglia dynamics could be a pivotal event in the progression of Alzheimer's disease, potentially triggering plaque deposition, impairment of fast-spiking interneurons, and the breakdown of the oscillatory circuitry in the hippocampus.
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Affiliation(s)
- Giusy Pizzirusso
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden; Department of Women's and Children's Health, Karolinska Institutet, Sweden
| | - Efthalia Preka
- Department of Women's and Children's Health, Karolinska Institutet, Sweden
| | - Julen Goikolea
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Celia Aguilar-Ruiz
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Patricia Rodriguez-Rodriguez
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | | | - Simona Laterza
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Maria Latorre-Leal
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Francesca Eroli
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Klas Blomgren
- Department of Women's and Children's Health, Karolinska Institutet, Sweden; Pediatric Oncology, Karolinska University Hospital, Stockholm, Sweden
| | - Silvia Maioli
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | - Per Nilsson
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden
| | | | - André Fisahn
- Department of Women's and Children's Health, Karolinska Institutet, Sweden.
| | - Luis Enrique Arroyo-García
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Sweden; Department of Women's and Children's Health, Karolinska Institutet, Sweden.
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10
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Lee JS, Heo DY, Choi KH, Kim HJ. Impact of the Ventricle Size on Alzheimer's Disease Progression: A Retrospective Longitudinal Study. Dement Neurocogn Disord 2024; 23:95-106. [PMID: 38720825 PMCID: PMC11073924 DOI: 10.12779/dnd.2024.23.2.95] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/04/2024] [Accepted: 03/11/2024] [Indexed: 05/12/2024] Open
Abstract
Background and Purpose Ventricle enlargement has been implicated in the pathophysiology of Alzheimer's disease (AD). We studied the relationship between ventricular size and cognitive function in patients with AD. We focused on the effect of the initial ventricle size on the rate of cognitive decline in patients with AD. Methods A retrospective analysis of probable clinical AD participants with more than 2 magnetic resonance imaging images was performed. To measure ventricle size, we used visual rating scales of (1) Cardiovascular Health Study (CHS) score and (2) conventional linear measurement method. Results Increased clinical dementia rating (CDR) was correlated with a decreased Mini-Mental Status Examination (MMSE) score, and increased medial temporal lobe atrophy (MTLA) and global ventricle size (p<0.001, p<0.001, p=0.021, respectively). There was a significant correlation between the change in cognitive function in the group (70%-100%ile) with a large initial ventricle size (p=0.021 for ΔCDR, p=0.01 for ΔMMSE), while the median ventricle size (30%-70%ile) showed correlation with other brain structural changes (MTLA, frontal atrophy [FA], and white matter) (p=0.036 for initial MTLA, p=0.034 for FA). Conclusions In this study, the initial ventricle size may be a potential new imaging biomarker for initial cognitive function and clinical progression in AD. We found a relationship between the initial ventricle size and initial AD-related brain structural biomarkers.
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Affiliation(s)
- Ji-seon Lee
- College of Medicine, CHA University, Pocheon, Korea
| | - Do-yun Heo
- College of Medicine, Hanyang University, Seoul, Korea
| | - Kyung-Hae Choi
- Department of Neurology, Hanyang University Hospital, College of Medicine, Hanyang University, Seoul, Korea
| | - Hee-Jin Kim
- Department of Neurology, Hanyang University Hospital, College of Medicine, Hanyang University, Seoul, Korea
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11
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Zhang T, Li T, Huang S, Zhang H, Xu X, Zheng H, Zhong Q, Gao Y, Wang T, Zhu Y, Liu H, Shen Y. Neural correlates of impaired learning and recognition of novel faces in mild cognitive impairment. Clin Neurophysiol 2024; 160:28-37. [PMID: 38368702 DOI: 10.1016/j.clinph.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 01/24/2024] [Accepted: 02/06/2024] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Face memory impairment significantly affects social interactions and daily functioning in individuals with mild cognitive impairment (MCI). While deficits in recognizing familiar faces among individuals with MCI have been reported, their ability to learn and recognize unfamiliar faces remains unclear. This study examined the behavioral performance and event-related potentials (ERPs) of unfamiliar face memorization and recognition in MCI. METHODS Fifteen individuals with MCI and 15 healthy controls learned and recognized 90 unfamiliar neutral faces. Their performance accuracy and cortical ERPs were compared between the two groups across the learning and recognition phases. RESULTS Individuals with MCI had lower accuracy in identifying newly learned faces than healthy controls. Moreover, individuals with MCI had reduced occipitotemporal N170 and central vertex positive potential responses during both the learning and recognition phases, suggesting impaired initial face processing and attentional resources allocation. Also, individuals with MCI had reduced central N200 and frontal P300 responses during the recognition phase, suggesting impaired later-stage face recognition and attention engagement. CONCLUSION These findings provide neurobehavioral evidence for impaired learning and recognition of unfamiliar faces in individuals with MCI. SIGNIFICANCE Individuals with MCI may have face memory deficits in both early-stage face processing and later-stage recognition .
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Affiliation(s)
- Tianjiao Zhang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Tingni Li
- Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong SAR 999077, China
| | - Sisi Huang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hangbin Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China; Department of Psychology, Brain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ 85721, USA
| | - Xingjun Xu
- Department of Rehabilitation, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China
| | - Qian Zhong
- Brain Imaging and TMS Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, 85721, USA
| | - Yaxin Gao
- Rehabilitation Center, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215002, China
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yi Zhu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Hanjun Liu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
| | - Ying Shen
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
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12
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Toribio-Fernandez R, Ceron C, Tristão-Pereira C, Fernandez-Nueda I, Perez-Castillo A, Fernandez-Ferro J, Moro MA, Ibañez B, Fuster V, Cortes-Canteli M. Oral anticoagulants: A plausible new treatment for Alzheimer's disease? Br J Pharmacol 2024; 181:760-776. [PMID: 36633908 DOI: 10.1111/bph.16032] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/02/2023] [Accepted: 01/06/2023] [Indexed: 01/13/2023] Open
Abstract
Alzheimer's disease (AD) and cardiovascular disease (CVD) are strongly associated. Both are multifactorial disorders with long asymptomatic phases and similar risk factors. Indeed, CVD signatures such as cerebral microbleeds, micro-infarcts, atherosclerosis, cerebral amyloid angiopathy and a procoagulant state are highly associated with AD. However, AD and CVD co-development and the molecular mechanisms underlying such associations are not understood. Here, we review the evidence regarding the vascular component of AD and clinical studies using anticoagulants that specifically evaluated the development of AD and other dementias. Most studies reported a markedly decreased incidence of composite dementia in anticoagulated patients with atrial fibrillation, with the highest benefit for direct oral anticoagulants. However, sub-analyses by differential dementia diagnosis were scarce and inconclusive. We finally discuss whether anticoagulation could be a plausible preventive/therapeutic approach for AD and, if so, which would be the best drug and strategy to maximize clinical benefit and minimize potential risks. LINKED ARTICLES: This article is part of a themed issue From Alzheimer's Disease to Vascular Dementia: Different Roads Leading to Cognitive Decline. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v181.6/issuetoc.
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Affiliation(s)
- Raquel Toribio-Fernandez
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Carlos Ceron
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | | | - Irene Fernandez-Nueda
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Ana Perez-Castillo
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Instituto de Investigaciones Biomédicas "Alberto Sols" (CSIC-UAM), Madrid, Spain
| | - Jose Fernandez-Ferro
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
- Stroke Unit, Neurology Service, Hospital Universitario Rey Juan Carlos (HURJC), Madrid, Spain
| | - Maria Angeles Moro
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Borja Ibañez
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
- CIBER de enfermedades cardiovasculares (CIBERCV), ISCIII, Madrid, Spain
| | - Valentin Fuster
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Marta Cortes-Canteli
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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13
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Tang X, Guo Z, Chen G, Sun S, Xiao S, Chen P, Tang G, Huang L, Wang Y. A Multimodal Meta-Analytical Evidence of Functional and Structural Brain Abnormalities Across Alzheimer's Disease Spectrum. Ageing Res Rev 2024; 95:102240. [PMID: 38395200 DOI: 10.1016/j.arr.2024.102240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/18/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND Numerous neuroimaging studies have reported that Alzheimer's disease (AD) spectrum have been linked to alterations in intrinsic functional activity and cortical thickness (CT) of some brain areas. However, the findings have been inconsistent and the correlation with the transcriptional profile and neurotransmitter systems remain largely unknown. METHODS We conducted a meta-analysis to identify multimodal differences in the amplitude of low-frequency fluctuation (ALFF)/fractional ALFF (fALFF) and CT in patients with AD and preclinical AD compared to healthy controls (HCs), using the Seed-based d Mapping with Permutation of Subject Images software. Transcriptional data were retrieved from the Allen Human Brain Atlas. The atlas-based nuclear imaging-derived neurotransmitter maps were investigated by JuSpace toolbox. RESULTS We included 26 ALFF/fALFF studies comprising 884 patients with AD and 1,020 controls, along with 52 studies comprising 2,046 patients with preclinical AD and 2,336 controls. For CT, we included 11 studies comprising 353 patients with AD and 330 controls. Overall, compared to HCs, patients with AD showed decreased ALFF/fALFF in the bilateral posterior cingulate gyrus (PCC)/precuneus and right angular gyrus, as well as increased ALFF/fALFF in the bilateral parahippocampal gyrus (PHG). Patients with peclinical AD showed decreased ALFF/fALFF in the left precuneus. Additionally, patients with AD displayed decreased CT in the bilateral PHG, left PCC, bilateral orbitofrontal cortex, sensorimotor areas and temporal lobe. Furthermore, gene sets related to brain structural and functional changes in AD and preclincal AD were enriched for G protein-coupled receptor signaling pathway, ion gated channel activity, and components of biological membrane. Functional and structural alterations in AD and preclinical AD were spatially associated with dopaminergic, serotonergic, and GABAergic neurotransmitter systems. CONCLUSIONS The multimodal meta-analysis demonstrated that patients with AD exhibited convergent functional and structural alterations in the PCC/precuneus and PHG, as well as cortical thinning in the primary sensory and motor areas. Furthermore, patients with preclinical AD showed reduced functional activity in the precuneus. AD and preclinical AD showed genetic modulations/neurotransmitter deficits of brain functional and structural impairments. These findings may provide new insights into the pathophysiology of the AD spectrum.
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Affiliation(s)
- Xinyue Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Zixuan Guo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shilin Sun
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shu Xiao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Guixian Tang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China.
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14
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Hasantari I, Nicolas N, Alzieu P, Leval L, Shalabi A, Grolleau S, Dinet V. Factor H's Control of Complement Activation Emerges as a Significant and Promising Therapeutic Target for Alzheimer's Disease Treatment. Int J Mol Sci 2024; 25:2272. [PMID: 38396950 PMCID: PMC10889136 DOI: 10.3390/ijms25042272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
The complement is a component of the innate immune system designed to fight infections and tissue- or age-related damages. Complement activation creates an inflammatory microenvironment, which enhances cell death. Excessive complement inflammatory activity has been linked to alterations in the structure and functions of the blood-brain barrier, contributing to a poor prognosis for Alzheimer's disease (AD). In the AD preclinical phase, individuals are often clinically asymptomatic despite evidence of AD neuropathology coupled with heightened inflammation. Considering the involvement of the complement system in the risk of developing AD, we hypothesize that inhibiting complement activation could reduce this inflammatory period observed even before clinical signs, thereby slowing down the onset/progression of AD. To validate our hypothesis, we injected complement inhibitor factor H into the brain of APP/PS1 AD mice at early or late stages of this pathology. Our results showed that the injection of factor H had effects on both the onset and progression of AD by reducing proinflammatory IL6, TNF-α, IL1β, MAC and amyloid beta levels. This reduction was associated with an increase in VGLUT1 and Psd95 synaptic transmission in the hippocampal region, leading to an improvement in cognitive functions. This study invites a reconsideration of factor H's therapeutic potential for AD treatment.
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Affiliation(s)
- Iris Hasantari
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
| | - Nabil Nicolas
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
| | - Philippe Alzieu
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
| | - Léa Leval
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
| | - Andree Shalabi
- Medizinische Hochschule Hannover, Abt. Infektiologie, 30625 Hannover, Germany
| | - Sylvain Grolleau
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
| | - Virginie Dinet
- INSERM (Institut National de la Santé et de la Recherche Médicale), Biologie des Maladies Cardiovasculaires, U1034, University Bordeaux, F-33600 Pessac, France; (I.H.); (N.N.)
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15
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Woo MS, Tissot C, Lantero-Rodriguez J, Snellman A, Therriault J, Rahmouni N, Macedo AC, Servaes S, Wang YT, Arias JF, Hosseini SA, Chamoun M, Lussier FZ, Benedet AL, Ashton NJ, Karikari TK, Triana-Baltzer G, Kolb HC, Stevenson J, Mayer C, Kobayashi E, Massarweh G, Friese MA, Pascoal TA, Gauthier S, Zetterberg H, Blennow K, Rosa-Neto P. Plasma pTau-217 and N-terminal tau (NTA) enhance sensitivity to identify tau PET positivity in amyloid-β positive individuals. Alzheimers Dement 2024; 20:1166-1174. [PMID: 37920945 PMCID: PMC10916953 DOI: 10.1002/alz.13528] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/31/2023] [Accepted: 08/31/2023] [Indexed: 11/04/2023]
Abstract
INTRODUCTION We set out to identify tau PET-positive (A+T+) individuals among amyloid-beta (Aβ) positive participants using plasma biomarkers. METHODS In this cross-sectional study we assessed 234 participants across the AD continuum who were evaluated by amyloid PET with [18 F]AZD4694 and tau-PET with [18 F]MK6240 and measured plasma levels of total tau, pTau-181, pTau-217, pTau-231, and N-terminal tau (NTA-tau). We evaluated the performances of plasma biomarkers to predict tau positivity in Aβ+ individuals. RESULTS Highest associations with tau positivity in Aβ+ individuals were found for plasma pTau-217 (AUC [CI95% ] = 0.89 [0.82, 0.96]) and NTA-tau (AUC [CI95% ] = 0.88 [0.91, 0.95]). Combining pTau-217 and NTA-tau resulted in the strongest agreement (Cohen's Kappa = 0.74, CI95% = 0.57/0.90, sensitivity = 92%, specificity = 81%) with PET for classifying tau positivity. DISCUSSION The potential for identifying tau accumulation in later Braak stages will be useful for patient stratification and prognostication in treatment trials and in clinical practice. HIGHLIGHTS We found that in a cohort without pre-selection pTau-181, pTau-217, and NTA-tau showed the highest association with tau PET positivity. We found that in Aβ+ individuals pTau-217 and NTA-tau showed the highest association with tau PET positivity. Combining pTau-217 and NTA-tau resulted in the strongest agreement with the tau PET-based classification.
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Affiliation(s)
- Marcel S Woo
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Anniina Snellman
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Nesrine Rahmouni
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Arthur C Macedo
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Stijn Servaes
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Yi-Ting Wang
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jaime Fernandez Arias
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Seyyed Ali Hosseini
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Firoza Z Lussier
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Andrea L Benedet
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Thomas K Karikari
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | | | - Hartmuth C Kolb
- Neuroscience Biomarkers, Janssen Research & Development, La Jolla, California, USA
| | - Jenna Stevenson
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
| | - Christina Mayer
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Eliane Kobayashi
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Gassan Massarweh
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Manuel A Friese
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Tharick A Pascoal
- Department of Neurology and Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Serge Gauthier
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
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16
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Scadding GK, McDonald M, Backer V, Scadding G, Bernal-Sprekelsen M, Conti DM, De Corso E, Diamant Z, Gray C, Hopkins C, Jesenak M, Johansen P, Kappen J, Mullol J, Price D, Quirce S, Reitsma S, Salmi S, Senior B, Thyssen JP, Wahn U, Hellings PW. Pre-asthma: a useful concept for prevention and disease-modification? A EUFOREA paper. Part 1-allergic asthma. FRONTIERS IN ALLERGY 2024; 4:1291185. [PMID: 38352244 PMCID: PMC10863454 DOI: 10.3389/falgy.2023.1291185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/26/2023] [Indexed: 02/16/2024] Open
Abstract
Asthma, which affects some 300 million people worldwide and caused 455,000 deaths in 2019, is a significant burden to suffers and to society. It is the most common chronic disease in children and represents one of the major causes for years lived with disability. Significant efforts are made by organizations such as WHO in improving the diagnosis, treatment and monitoring of asthma. However asthma prevention has been less studied. Currently there is a concept of pre- diabetes which allows a reduction in full blown diabetes if diet and exercise are undertaken. Similar predictive states are found in Alzheimer's and Parkinson's diseases. In this paper we explore the possibilities for asthma prevention, both at population level and also investigate the possibility of defining a state of pre-asthma, in which intensive treatment could reduce progression to asthma. Since asthma is a heterogeneous condition, this paper is concerned with allergic asthma. A subsequent one will deal with late onset eosinophilic asthma.
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Affiliation(s)
- G. K. Scadding
- Department of Allergy & Rhinology, Royal National ENT Hospital, London, United Kingdom
- Division of Immunity and Infection, University College, London, United Kingdom
| | - M. McDonald
- The Allergy Clinic, Blairgowrie, Randburg, South Africa
| | - V. Backer
- Department of Otorhinolaryngology, Head & Neck Surgery, and Audiology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
| | - G. Scadding
- Allergy, Royal Brompton Hospital, London, United Kingdom
| | - M. Bernal-Sprekelsen
- Head of ORL-Deptartment, Clinic Barcelona, Barcelona, Spain
- Chair of ORL, University of Barcelona, Barcelona, Spain
| | - D. M. Conti
- The European Forum for Research and Education in Allergy and Airway Diseases Scientific Expert Team Members, Brussels, Belgium
| | - E. De Corso
- Otolaryngology Head and Neck Surgery, A. Gemelli University Hospital Foundation IRCCS, Rome, Italy
| | - Z. Diamant
- Department of Respiratory Medicine & Allergology, Institute for Clinical Science, Skane University Hospital, Lund University, Lund, Sweden
- Department of Respiratory Medicine, First Faculty of Medicine, Charles University and Thomayer Hospital, Prague, Czech Republic
- Department Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Deptarment of Microbiology Immunology & Transplantation, KU Leuven, Catholic University of Leuven, Leuven, Belgium
| | - C. Gray
- Paediatric Allergist, Red Cross Children’s Hospital and University of Cape Town, Cape Town, South Africa
- Kidsallergy Centre, Cape Town, South Africa
| | - C. Hopkins
- Department of Rhinology and Skull Base Surgery, Guy’s and St Thomas’ Hospital NHS Foundation Trust, London, United Kingdom
| | - M. Jesenak
- Department of Clinical Immunology and Allergology, University Teaching Hospital in Martin, Martin, Slovakia
- Department of Paediatrics, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Teaching Hospital in Martin, Martin, Slovakia
- Department of Pulmonology and Phthisiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, University Teaching Hospital in Martin, Martin, Slovakia
| | - P. Johansen
- Department of Dermatology, University of Zurich, Zurich, Switzerland
- Department of Dermatology, University Hospital of Zurich, Zurich, Switzerland
| | - J. Kappen
- Department of Pulmonology, STZ Centre of Excellence for Asthma, COPD and Respiratory Allergy, Franciscus Gasthuis & Vlietland, Rotterdam, Netherlands
| | - J. Mullol
- Rhinology Unit and Smell Clinic, ENT Department, Hospital Clínic, FRCB-IDIBAPS, Universitat de Barcelona, CIBERES, Barcelona, Spain
| | - D. Price
- Observational and Pragmatic Research Institute, Singapore, Singapore
- Division of Applied Health Sciences, Centre of Academic Primary Care, University of Aberdeen, Aberdeen, United Kingdom
| | - S. Quirce
- Department of Allergy, La Paz University Hospital, IdiPAZ, Madrid, Spain
| | - S. Reitsma
- Department of Otorhinolarynogology and Head/Neck Surgery, Amsterdam University Medical Centres, Location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - S. Salmi
- Department of Otorhinolaryngology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland
- Department of Allergy, Inflammation Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - B. Senior
- Department of Otolaryngology/Head and Neck Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - J. P. Thyssen
- Department of Dermatology, Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - U. Wahn
- Former Head of the Department for Pediatric Pneumology and Immunology, Charite University Medicine, Berlin, Germany
| | - P. W. Hellings
- Department of Otorhinolaryngology-Head and Neck Surgery, University Hospitals, Leuven, Belgium
- Laboratory of Allergy and Clinical Immunology, University Hospitals Leuven, Leuven, Belgium
- Upper Airways Research Laboratory, Department of Head and Skin, Ghent University, Ghent, Belgium
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17
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Palade J, Alsop E, Courtright-Lim A, Hsieh M, Whitsett TG, Galasko D, Van Keuren-Jensen K. Small RNA Changes in Plasma Have Potential for Early Diagnosis of Alzheimer's Disease before Symptom Onset. Cells 2024; 13:207. [PMID: 38334599 PMCID: PMC10854972 DOI: 10.3390/cells13030207] [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: 12/21/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 02/10/2024] Open
Abstract
Alzheimer's disease (AD), due to its multifactorial nature and complex etiology, poses challenges for research, diagnosis, and treatment, and impacts millions worldwide. To address the need for minimally invasive, repeatable measures that aid in AD diagnosis and progression monitoring, studies leveraging RNAs associated with extracellular vesicles (EVs) in human biofluids have revealed AD-associated changes. However, the validation of AD biomarkers has suffered from the collection of samples from differing points in the disease time course or a lack of confirmed AD diagnoses. Here, we integrate clinical diagnosis and postmortem pathology data to form more accurate experimental groups and use small RNA sequencing to show that EVs from plasma can serve as a potential source of RNAs that reflect disease-related changes. Importantly, we demonstrated that these changes are identifiable in the EVs of preclinical patients, years before symptom manifestation, and that machine learning models based on differentially expressed RNAs can help predict disease conversion or progression. This research offers critical insight into early disease biomarkers and underscores the significance of accounting for disease progression and pathology in human AD studies.
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Affiliation(s)
- Joanna Palade
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA; (J.P.); (E.A.); (M.H.); (T.G.W.)
| | - Eric Alsop
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA; (J.P.); (E.A.); (M.H.); (T.G.W.)
| | | | - Michael Hsieh
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA; (J.P.); (E.A.); (M.H.); (T.G.W.)
| | - Timothy G. Whitsett
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA; (J.P.); (E.A.); (M.H.); (T.G.W.)
| | - Douglas Galasko
- Department of Neurosciences, San Diego and Shiley-Marcos Alzheimer’s Disease Research Center, University of California, La Jolla, CA 92037, USA;
| | - Kendall Van Keuren-Jensen
- Neurogenomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ 85004, USA; (J.P.); (E.A.); (M.H.); (T.G.W.)
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18
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Nallapu BT, Petersen KK, Lipton RB, Davatzikos C, Ezzati A. Plasma Biomarkers as Predictors of Progression to Dementia in Individuals with Mild Cognitive Impairment. J Alzheimers Dis 2024; 98:231-246. [PMID: 38393899 PMCID: PMC11044769 DOI: 10.3233/jad-230620] [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] [Indexed: 02/25/2024]
Abstract
Background Blood-based biomarkers (BBMs) are of growing interest in the field of Alzheimer's disease (AD) and related dementias. Objective This study aimed to assess the ability of plasma biomarkers to 1) predict disease progression from mild cognitive impairment (MCI) to dementia and 2) improve the predictive ability of magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) measures when combined. Methods We used data from the Alzheimer's Disease Neuroimaging Initiative. Machine learning models were trained using the data from participants who remained cognitively stable (CN-s) and with Dementia diagnosis at 2-year follow-up visit. The models were used to predict progression to dementia in MCI individuals. We assessed the performance of models with plasma biomarkers against those with CSF and MRI measures, and also in combination with them. Results Our models with plasma biomarkers classified CN-s individuals from AD with an AUC of 0.75±0.03 and could predict conversion to dementia in MCI individuals with an AUC of 0.64±0.03 (17.1% BP, base prevalence). Models with plasma biomarkers performed better when combined with CSF and MRI measures (CN versus AD: AUC of 0.89±0.02; MCI-to-AD: AUC of 0.76±0.03, 21.5% BP). Conclusions Our results highlight the potential of plasma biomarkers in predicting conversion to dementia in MCI individuals. While plasma biomarkers could improve the predictive ability of CSF and MRI measures when combined, they also show the potential to predict non-progression to AD when considered alone. The predictive ability of plasma biomarkers is crucially linked to reducing the costly and effortful collection of CSF and MRI measures.
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Affiliation(s)
- Bhargav T. Nallapu
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Kellen K. Petersen
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Richard B. Lipton
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
| | - Christos Davatzikos
- Radiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ali Ezzati
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, New York City, NY, USA
- Department of Neurology, University of California, Irvine, Irvine, CA, USA
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19
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Teppang KL, Zhao Q, Yang J. Development of fluorophores for the detection of oligomeric aggregates of amyloidogenic proteins found in neurodegenerative diseases. Front Chem 2023; 11:1343118. [PMID: 38188930 PMCID: PMC10766704 DOI: 10.3389/fchem.2023.1343118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Alzheimer's disease and Parkinson's disease are the two most common neurodegenerative diseases globally. These neurodegenerative diseases have characteristic late-stage symptoms allowing for differential diagnosis; however, they both share the presence of misfolded protein aggregates which appear years before clinical manifestation. Historically, research has focused on the detection of higher-ordered aggregates (or amyloids); however, recent evidence has shown that the oligomeric state of these protein aggregates plays a greater role in disease pathology, resulting in increased efforts to detect oligomers to aid in disease diagnosis. In this review, we summarize some of the exciting new developments towards the development of fluorescent probes that can detect oligomeric aggregates of amyloidogenic proteins present in Alzheimer's and Parkinson's disease patients.
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Affiliation(s)
| | | | - Jerry Yang
- Department of Chemistry and Biochemistry, University of California San Diego, San Diego, CA, United States
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20
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Wang X, Fu X, Luo X, Lai Y, Cai C, Liao Y, Dai Z, Fang S, Fang J. Network Proximity Analysis Deciphers the Pharmacological Mechanism of Osthole against D-Galactose Induced Cognitive Disorder in Rats. Molecules 2023; 29:21. [PMID: 38202603 PMCID: PMC10779601 DOI: 10.3390/molecules29010021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024] Open
Abstract
Osthole, a natural coumarin found in various medicinal plants, has been previously reported to have neuroprotective effects. However, the specific mechanism by which Osthole alleviates dysmnesia associated with Alzheimer's disease (AD) remains unclear. This study aimed to investigate the neuroprotective properties of Osthole against cognitive impairment in rats induced by D-galactose and elucidate its pharmacological mechanism. The rat model was established by subcutaneously injecting D-galactose at a dose of 150 mg/kg/day for 56 days. The effect of Osthole on cognitive impairment was evaluated by behavior and biochemical analysis. Subsequently, a combination of in silico prediction and experimental validation was performed to verify the network-based predictions, using western blot, Nissl staining, and immunofluorescence. The results demonstrate that Osthole could improve memory dysfunction induced by D-galactose in Sprague Dawley male rats. A network proximity-based approach and integrated pathways analysis highlight two key AD-related pathological processes that may be regulated by Osthole, including neuronal apoptosis, i.e., neuroinflammation. Among them, the pro-apoptotic markers (Bax), anti-apoptotic protein (Bcl-2), the microgliosis (Iba-1), Astro-cytosis (GFAP), and inflammatory cytokines (TNF-R1) were evaluated in both hippocampus and cortex. The results indicated that Osthole significantly ameliorated neuronal apoptosis and neuroinflammation in D-galactose-induced cognitive impairment rats. In conclusion, this study sheds light on the pharmacological mechanism of Osthole in mitigating D-galactose-induced memory impairment and identifies Osthole as a potential drug candidate for AD treatment, targeting multiple signaling pathways through network proximity and integrated pathways analysis.
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Affiliation(s)
- Xue Wang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Xiaomei Fu
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Xiurong Luo
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Yiyi Lai
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Chuipu Cai
- Division of Data Intelligence, Department of Computer Science, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, College of Engineering, Shantou University, Shantou 515063, China;
| | - Yanfang Liao
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Zhao Dai
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Shuhuan Fang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
| | - Jiansong Fang
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China; (X.W.); (X.F.); (X.L.); (Y.L.); (Y.L.); (Z.D.)
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21
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Hirschfeld LR, Deardorff R, Chumin EJ, Wu YC, McDonald BC, Cao S, Risacher SL, Yi D, Byun MS, Lee JY, Kim YK, Kang KM, Sohn CH, Nho K, Saykin AJ, Lee DY. White matter integrity is associated with cognition and amyloid burden in older adult Koreans along the Alzheimer's disease continuum. Alzheimers Res Ther 2023; 15:218. [PMID: 38102714 PMCID: PMC10725037 DOI: 10.1186/s13195-023-01369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND White matter (WM) microstructural changes in the hippocampal cingulum bundle (CBH) in Alzheimer's disease (AD) have been described in cohorts of largely European ancestry but are lacking in other populations. METHODS We assessed the relationship between CBH WM integrity and cognition or amyloid burden in 505 Korean older adults aged ≥ 55 years, including 276 cognitively normal older adults (CN), 142 with mild cognitive impairment (MCI), and 87 AD patients, recruited as part of the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's disease (KBASE) at Seoul National University. RESULTS Compared to CN, AD and MCI subjects showed significantly higher RD, MD, and AxD values (all p-values < 0.001) and significantly lower FA values (left p ≤ 0.002, right p ≤ 0.015) after Bonferroni adjustment for multiple comparisons. Most tests of cognition and mood (p < 0.001) as well as higher medial temporal amyloid burden (p < 0.001) were associated with poorer WM integrity in the CBH after Bonferroni adjustment. CONCLUSION These findings are consistent with patterns of WM microstructural damage previously reported in non-Hispanic White (NHW) MCI/AD cohorts, reinforcing existing evidence from predominantly NHW cohort studies.
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Affiliation(s)
- Lauren R Hirschfeld
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Rachael Deardorff
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Evgeny J Chumin
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, 47405, USA
| | - Yu-Chien Wu
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Brenna C McDonald
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Sha Cao
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biostatistics and Health Data Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Shannon L Risacher
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, 03080, South Korea
| | - Min Soo Byun
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, 03080, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, 03080, South Korea
| | - Jun-Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, 03080, South Korea
- Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, 07061, South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, 07061, South Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul, 03080, South Korea
| | - Kwangsik Nho
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Indiana University School of Informatics and Computing, Indianapolis, IN, 46202, USA
| | - Andrew J Saykin
- Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Dong Young Lee
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University, Seoul, 03080, South Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, 03080, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, 03080, South Korea
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22
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Frank A, Ismail Z, Wilson M, Gauthier S, Verret L, Hsiung GYR, Borrie M. Health System Change for Alzheimer's Disease-Modifying Therapies in Canada: Beginning the Discussion. Can J Neurol Sci 2023:1-9. [PMID: 38052729 DOI: 10.1017/cjn.2023.322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for 60%-70% of patients with dementia, and it is estimated that over one million Canadians will be living with dementia by 2030. Disease-modifying therapies (DMTs) targeting the underlying pathophysiology of AD are currently in development. Several models have demonstrated that the potential arrival of Alzheimer's DMTs will most likely overwhelm the already-constrained Canadian healthcare system. Canada does not have a strategy to address the extensive requirements of using DMTs, including providing an early diagnosis of AD, confirming DMT eligibility via amyloid biomarkers, and conducting ongoing treatment monitoring. Thus, a multidisciplinary group of experts involved in AD care in Canada gathered to review (1) the current barriers to diagnosis and management of AD; (2) how existing clinic models, including those used in multiple sclerosis (MS), could be applied to address key barriers in AD; and (3) how to design and implement optimal care pathways in the future. The actions outlined in this review will help clinicians and healthcare systems improve readiness to integrate the use of disease-modifying therapies in Alzheimer's disease, if such therapies are approved in Canada.
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Affiliation(s)
- Andrew Frank
- Bruyere Research Institute, and University of Ottawa, Ottawa, ON, Canada
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | | | - Serge Gauthier
- McGill Center for Studies in Aging and Dementia Education Program, McGill University, Montreal, QC, Canada
| | - Louis Verret
- Service de Neurologie, Clinique Interdisciplinaire de Mémoire, CHU de Québec-Université Laval, Hôpital Enfant-Jésus, Québec, QC, Canada
| | - Ging-Yuek Robin Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michael Borrie
- Division of Geriatric Medicine, Lawson Health Research Institute, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
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23
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Losee MA, Seibyl JP, Kuo PH. Neurotheranostics: The Next Frontier for Health Span. J Nucl Med Technol 2023; 51:266-270. [PMID: 37586855 DOI: 10.2967/jnmt.123.265502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/14/2023] [Indexed: 08/18/2023] Open
Abstract
With an aging U.S. population, advancements in the treatment of Alzheimer disease (AD) and other neurodegenerative diseases are key to the maximization of health span. The recent approval of 2 antiamyloid antibodies, which decrease brain amyloid load, places us on the cusp of breakthrough therapies that target the mechanism of the disease rather than just treating the symptoms. Although the trials that led to these approvals studied patients with mild early symptoms, multiple ongoing trials have enrolled cognitively normal patients screened for AD biomarkers including risk factors for amyloid positivity, family history, and genetic markers. Thus, amyloid PET can help identify an at-risk population that can be enrolled for antiamyloid therapy to prevent AD symptoms from ever developing. In this review, we examine the paradigm of neurotheranostics and how PET biomarkers of amyloid, tau, inflammation, and neurodegeneration could characterize the pathologic stage of AD and therefore allow for personalized therapy.
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Affiliation(s)
| | - John P Seibyl
- Institute for Neurodegenerative Disorders, New Haven, Connecticut; and
| | - Phillip H Kuo
- Departments of Medical Imaging, Medicine, and Biomedical Engineering, University of Arizona, Tucson, Arizona
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24
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Wang X, Salminen LE, Petkus AJ, Driscoll I, Millstein J, Beavers DP, Espeland MA, Erus G, Braskie MN, Thompson PM, Gatz M, Chui HC, Resnick SM, Kaufman JD, Rapp SR, Shumaker S, Brown M, Younan D, Chen JC. Association between late-life air pollution exposure and medial temporal lobe atrophy in older women. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.28.23298708. [PMID: 38077091 PMCID: PMC10705610 DOI: 10.1101/2023.11.28.23298708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Background Ambient air pollution exposures increase risk for Alzheimer's disease (AD) and related dementias, possibly due to structural changes in the medial temporal lobe (MTL). However, existing MRI studies examining exposure effects on the MTL were cross-sectional and focused on the hippocampus, yielding mixed results. Method To determine whether air pollution exposures were associated with MTL atrophy over time, we conducted a longitudinal study including 653 cognitively unimpaired community-dwelling older women from the Women's Health Initiative Memory Study with two MRI brain scans (MRI-1: 2005-6; MRI-2: 2009-10; Mage at MRI-1=77.3±3.5years). Using regionalized universal kriging models, exposures at residential locations were estimated as 3-year annual averages of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) prior to MRI-1. Bilateral gray matter volumes of the hippocampus, amygdala, parahippocampal gyrus (PHG), and entorhinal cortex (ERC) were summed to operationalize the MTL. We used linear regressions to estimate exposure effects on 5-year volume changes in the MTL and its subregions, adjusting for intracranial volume, sociodemographic, lifestyle, and clinical characteristics. Results On average, MTL volume decreased by 0.53±1.00cm3 over 5 years. For each interquartile increase of PM2.5 (3.26μg/m3) and NO2 (6.77ppb), adjusted MTL volume had greater shrinkage by 0.32cm3 (95%CI=[-0.43, -0.21]) and 0.12cm3 (95%CI=[-0.22, -0.01]), respectively. The exposure effects did not differ by APOE ε4 genotype, sociodemographic, and cardiovascular risk factors, and remained among women with low-level PM2.5 exposure. Greater PHG atrophy was associated with higher PM2.5 (b=-0.24, 95%CI=[-0.29, -0.19]) and NO2 exposures (b=-0.09, 95%CI=[-0.14, -0.04]). Higher exposure to PM2.5 but not NO2 was also associated with greater ERC atrophy. Exposures were not associated with amygdala or hippocampal atrophy. Conclusion In summary, higher late-life PM2.5 and NO2 exposures were associated with greater MTL atrophy over time in cognitively unimpaired older women. The PHG and ERC - the MTL cortical subregions where AD neuropathologies likely begin, may be preferentially vulnerable to air pollution neurotoxicity.
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Affiliation(s)
- Xinhui Wang
- Department of Neurology, University of Southern California, Los Angeles, California
| | - Lauren E Salminen
- Department of Neurology, University of Southern California, Los Angeles, California
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Andrew J Petkus
- Department of Neurology, University of Southern California, Los Angeles, California
| | - Ira Driscoll
- Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Joshua Millstein
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California
| | - Daniel P Beavers
- Departments of Statistical Sciences, Wake Forest University, Winston-Salem, North Carolina
| | - Mark A Espeland
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Guray Erus
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pennsylvania
| | - Meredith N Braskie
- Department of Neurology, University of Southern California, Los Angeles, California
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Paul M Thompson
- Department of Neurology, University of Southern California, Los Angeles, California
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, California
| | - Helena C Chui
- Department of Neurology, University of Southern California, Los Angeles, California
| | - Susan M Resnick
- The Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Joel D Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine (General Internal Medicine), and Epidemiology, University of Washington, Seattle, Washington
| | - Stephen R Rapp
- Departments of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Sally Shumaker
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Mark Brown
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Diana Younan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California
| | - Jiu-Chiuan Chen
- Department of Neurology, University of Southern California, Los Angeles, California
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California
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Petkus AJ, Salminen LE, Wang X, Driscoll I, Millstein J, Beavers DP, Espeland MA, Braskie MN, Thompson PM, Casanova R, Gatz M, Chui HC, Resnick SM, Kaufman JD, Rapp SR, Shumaker S, Younan D, Chen JC. Alzheimer's Related Neurodegeneration Mediates Air Pollution Effects on Medial Temporal Lobe Atrophy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.29.23299144. [PMID: 38076972 PMCID: PMC10705654 DOI: 10.1101/2023.11.29.23299144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Exposure to ambient air pollution, especially particulate matter with aerodynamic diameter <2.5 μm (PM2.5) and nitrogen dioxide (NO2), are environmental risk factors for Alzheimer's disease and related dementia. The medial temporal lobe (MTL) is an important brain region subserving episodic memory that atrophies with age, during the Alzheimer's disease continuum, and is vulnerable to the effects of cerebrovascular disease. Despite the importance of air pollution it is unclear whether exposure leads to atrophy of the MTL and by what pathways. Here we conducted a longitudinal study examining associations between ambient air pollution exposure and MTL atrophy and whether putative air pollution exposure effects resembled Alzheimer's disease-related neurodegeneration or cerebrovascular disease-related neurodegeneration. Participants included older women (n = 627; aged 71-87) who underwent two structural brain MRI scans (MRI-1: 2005-6; MRI-2: 2009-10) as part of the Women's Health Initiative Memory Study of Magnetic Resonance Imaging. Regionalized universal kriging was used to estimate annual concentrations of PM2.5 and NO2 at residential locations aggregated to 3-year averages prior to MRI-1. The outcome was 5-year standardized change in MTL volumes. Mediators included voxel-based MRI measures of the spatial pattern of neurodegeneration of Alzheimer's disease (Alzheimer's disease pattern similarity scores [AD-PS]) and whole-brain white matter small-vessel ischemic disease (WM-SVID) volume as a proxy of global cerebrovascular damage. Structural equation models were constructed to examine whether the associations between exposures with MTL atrophy were mediated by the initial level or concurrent change in AD-PS score or WM-SVID while adjusting for sociodemographic, lifestyle, clinical characteristics, and intracranial volume. Living in locations with higher PM2.5 (per interquartile range [IQR]=3.17μg/m3) or NO2 (per IQR=6.63ppb) was associated with greater MTL atrophy (βPM2.5 = -0.29, 95% confidence interval [CI]=[-0.41,-0.18]; βNO2 =-0.12, 95%CI=[-0.23,-0.02]). Greater PM2.5 was associated with larger increases in AD-PS (βPM2.5 = 0.23, 95%CI=[0.12,0.33]) over time, which partially mediated associations with MTL atrophy (indirect effect= -0.10; 95%CI=[-0.15, -0.05]), explaining approximately 32% of the total effect. NO2 was positively associated with AD-PS at MRI-1 (βNO2=0.13, 95%CI=[0.03,0.24]), which partially mediated the association with MTL atrophy (indirect effect= -0.01, 95% CI=[-0.03,-0.001]). Global WM-SVID at MRI-1 or concurrent change were not significant mediators between exposures and MTL atrophy. Findings support the mediating role of Alzheimer's disease-related neurodegeneration contributing to MTL atrophy associated with late-life exposures to air pollutants. Alzheimer's disease-related neurodegeneration only partially explained associations between exposure and MTL atrophy suggesting the role of multiple neuropathological processes underlying air pollution neurotoxicity on brain aging.
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Affiliation(s)
- Andrew J. Petkus
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
| | - Lauren E. Salminen
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, 90033, United States
| | - Xinhui Wang
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
| | - Ira Driscoll
- School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53792, United States
| | - Joshua Millstein
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, 90033, United States
| | - Daniel P. Beavers
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27101, United States
| | - Mark A. Espeland
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27101, United States
| | - Meredith N. Braskie
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, 90033, United States
| | - Paul M. Thompson
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
- Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, 90033, United States
| | - Ramon Casanova
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27101, United States
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, 90089, United States
| | - Helena C. Chui
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
| | - Susan M Resnick
- The Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, 20898, United States
| | - Joel D. Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine (General Internal Medicine), and Epidemiology, University of Washington, Seattle, Washington, 98195, United States
| | - Stephen R. Rapp
- Departments of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina , 27101, United States
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27101, United States
| | - Sally Shumaker
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, 27101, United States
| | - Diana Younan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, 90033, United States
| | - Jiu-Chiuan Chen
- Department of Neurology, University of Southern California, Los Angeles, California, 90033, United States
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, 90033, United States
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Branigan GL, Torrandell-Haro G, Chen S, Shang Y, Perez-Miller S, Mao Z, Padilla-Rodriguez M, Cortes-Flores H, Vitali F, Brinton RD. Breast cancer therapies reduce risk of Alzheimer's disease and promote estrogenic pathways and action in brain. iScience 2023; 26:108316. [PMID: 38026173 PMCID: PMC10663748 DOI: 10.1016/j.isci.2023.108316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/08/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Worldwide, an ever-increasing number of women are prescribed estrogen-modulating therapies (EMTs) for the treatment of breast cancer. In parallel, aging of the global population of women will contribute to risk of both breast cancer and Alzheimer's disease. To address the impact of anti-estrogen therapies on risk of Alzheimer's and neural function, we conducted medical informatic and molecular pharmacology analyses to determine the impact of EMTs on risk of Alzheimer's followed by determination of EMT estrogenic mechanisms of action in neurons. Collectively, these data provide both clinical and mechanistic data indicating that select EMTs exert estrogenic agonist action in neural tissue that are associated with reduced risk of Alzheimer's disease while simultaneously acting as effective estrogen receptor antagonists in breast.
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Affiliation(s)
- Gregory L. Branigan
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
- Department of Pharmacology, University of Arizona College of Medicine; Tucson AZ, USA
- Medical Scientist Training Program, University of Arizona College of Medicine; Tucson AZ, USA
| | - Georgina Torrandell-Haro
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
- Department of Pharmacology, University of Arizona College of Medicine; Tucson AZ, USA
| | - Shuhua Chen
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
| | - Yuan Shang
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
| | | | - Zisu Mao
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
| | | | | | - Francesca Vitali
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
- Center of Bioinformatics and Biostatistics, University of Arizona College of Medicine; Tucson AZ, USA
| | - Roberta Diaz Brinton
- Center for Innovation in Brain Science, University of Arizona; Tucson AZ, USA
- Department of Pharmacology, University of Arizona College of Medicine; Tucson AZ, USA
- Department of Neurology, University of Arizona College of Medicine; Tucson AZ, USA
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Zegarra-Valdivia JA, Pignatelli J, Nuñez A, Torres Aleman I. The Role of Insulin-like Growth Factor I in Mechanisms of Resilience and Vulnerability to Sporadic Alzheimer's Disease. Int J Mol Sci 2023; 24:16440. [PMID: 38003628 PMCID: PMC10671249 DOI: 10.3390/ijms242216440] [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: 10/11/2023] [Revised: 11/06/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Despite decades of intense research, disease-modifying therapeutic approaches for Alzheimer's disease (AD) are still very much needed. Apart from the extensively analyzed tau and amyloid pathological cascades, two promising avenues of research that may eventually identify new druggable targets for AD are based on a better understanding of the mechanisms of resilience and vulnerability to this condition. We argue that insulin-like growth factor I (IGF-I) activity in the brain provides a common substrate for the mechanisms of resilience and vulnerability to AD. We postulate that preserved brain IGF-I activity contributes to resilience to AD pathology as this growth factor intervenes in all the major pathological cascades considered to be involved in AD, including metabolic impairment, altered proteostasis, and inflammation, to name the three that are considered to be the most important ones. Conversely, disturbed IGF-I activity is found in many AD risk factors, such as old age, type 2 diabetes, imbalanced diet, sedentary life, sociality, stroke, stress, and low education, whereas the Apolipoprotein (Apo) E4 genotype and traumatic brain injury may also be influenced by brain IGF-I activity. Accordingly, IGF-I activity should be taken into consideration when analyzing these processes, while its preservation will predictably help prevent the progress of AD pathology. Thus, we need to define IGF-I activity in all these conditions and develop a means to preserve it. However, defining brain IGF-I activity cannot be solely based on humoral or tissue levels of this neurotrophic factor, and new functionally based assessments need to be developed.
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Affiliation(s)
- Jonathan A. Zegarra-Valdivia
- Achucarro Basque Center for Neuroscience, 48940 Leioa, Spain;
- Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain;
- School of Medicine, Universidad Señor de Sipán, Chiclayo 14000, Peru
| | - Jaime Pignatelli
- Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain;
- Cajal Institute (CSIC), 28002 Madrid, Spain
| | - Angel Nuñez
- Department of Anatomy, Histology and Neuroscience, Universidad Autónoma de Madrid, 28049 Madrid, Spain;
| | - Ignacio Torres Aleman
- Achucarro Basque Center for Neuroscience, 48940 Leioa, Spain;
- Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), 28029 Madrid, Spain;
- Ikerbasque, Basque Foundation for Science, 48009 Bilbao, Spain
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28
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Bader I, Bader I, Lopes Alves I, Vállez García D, Vellas B, Dubois B, Boada M, Marquié M, Altomare D, Scheltens P, Vandenberghe R, Hanseeuw B, Schöll M, Frisoni GB, Jessen F, Nordberg A, Kivipelto M, Ritchie CW, Grau-Rivera O, Molinuevo JL, Ford L, Stephens A, Gismondi R, Gispert JD, Farrar G, Barkhof F, Visser PJ, Collij LE. Recruitment of pre-dementia participants: main enrollment barriers in a longitudinal amyloid-PET study. Alzheimers Res Ther 2023; 15:189. [PMID: 37919783 PMCID: PMC10621165 DOI: 10.1186/s13195-023-01332-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/13/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND The mismatch between the limited availability versus the high demand of participants who are in the pre-dementia phase of Alzheimer's disease (AD) is a bottleneck for clinical studies in AD. Nevertheless, potential enrollment barriers in the pre-dementia population are relatively under-reported. In a large European longitudinal biomarker study (the AMYPAD-PNHS), we investigated main enrollment barriers in individuals with no or mild symptoms recruited from research and clinical parent cohorts (PCs) of ongoing observational studies. METHODS Logistic regression was used to predict study refusal based on sex, age, education, global cognition (MMSE), family history of dementia, and number of prior study visits. Study refusal rates and categorized enrollment barriers were compared between PCs using chi-squared tests. RESULTS 535/1856 (28.8%) of the participants recruited from ongoing studies declined participation in the AMYPAD-PNHS. Only for participants recruited from clinical PCs (n = 243), a higher MMSE-score (β = - 0.22, OR = 0.80, p < .05), more prior study visits (β = - 0.93, OR = 0.40, p < .001), and positive family history of dementia (β = 2.08, OR = 8.02, p < .01) resulted in lower odds on study refusal. General study burden was the main enrollment barrier (36.1%), followed by amyloid-PET related burden (PCresearch = 27.4%, PCclinical = 9.0%, X2 = 10.56, p = .001), and loss of research interest (PCclinical = 46.3%, PCresearch = 16.5%, X2 = 32.34, p < .001). CONCLUSIONS The enrollment rate for the AMYPAD-PNHS was relatively high, suggesting an advantage of recruitment via ongoing studies. In this observational cohort, study burden reduction and tailored strategies may potentially improve participant enrollment into trial readiness cohorts such as for phase-3 early anti-amyloid intervention trials. The AMYPAD-PNHS (EudraCT: 2018-002277-22) was approved by the ethical review board of the VU Medical Center (VUmc) as the Sponsor site and in every affiliated site.
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Affiliation(s)
- Ilse Bader
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands.
| | - Ilona Bader
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
| | - Isadora Lopes Alves
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Brain Research Center, 1081 GN, Amsterdam, The Netherlands
| | - David Vállez García
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
| | - Bruno Vellas
- Gérontopole of Toulouse, University Hospital of Toulouse (CHU-Toulouse), 31300, Toulouse, France
- UMR INSERM 1027, University of Toulouse III, 31062, Toulouse, France
| | - Bruno Dubois
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain Institute, Salpetriere Hospital, Sorbonne University, 75013, Paris, France
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), 08028, Barcelona, Spain
- Networking Research Center On Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), 08028, Barcelona, Spain
- Networking Research Center On Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Daniele Altomare
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, 3001, Louvain, Belgium
| | - Bernard Hanseeuw
- Institute of Neuroscience, Université Catholique de Louvain, 1200, Brussels, Belgium
- Department of Neurology, Clinique Universitaires Saint-Luc, 1200, Brussels, Belgium
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02155, USA
- WELBIO Department, WEL Research Institute, Avenue Pasteur, 6, 1300, Wavre, Belgium
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 405 30, Gothenburg, Sweden
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30, Gothenburg, Sweden
- Dementia Research Centre, Queen Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, 1205, Geneva, Switzerland
- Geneva Memory Center, Geneva University Hospitals, 1205, Geneva, Switzerland
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), 53127, Bonn, Germany
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, 171 77, Stockholm, Sweden
- Theme Inflammation, Karolinska University Hospital, Stockholm, 171 77, Sweden
- Theme Aging, Karolinska University Hospital, Stockholm, 171 77, Sweden
| | - Miia Kivipelto
- Kuopio University Hospital, 70210, Kuopio, Finland
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, 171 77, Stockholm, Sweden
- Imperial College London, London, SW7 2AZ, UK
| | | | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
- H. Lundbeck A/S, 2500, Copenhagen, Denmark
| | - Lisa Ford
- Janssen Research and Development, Titusville, NJ, 08560, USA
| | | | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
| | - Gill Farrar
- GE Healthcare, Pharmaceutical Diagnostics, Amersham, HP7 9LL, UK
| | - Frederik Barkhof
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL, London, WC1N 3BG, UK
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Lyduine E Collij
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, 221 00, Malmö, Sweden
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Zhang T, Huang S, Lu Q, Song J, Teng J, Wang T, Shen Y. Effects of repetitive transcranial magnetic stimulation on episodic memory in patients with subjective cognitive decline: study protocol for a randomized clinical trial. Front Psychol 2023; 14:1298065. [PMID: 38022972 PMCID: PMC10646583 DOI: 10.3389/fpsyg.2023.1298065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Early decline of episodic memory is detectable in subjective cognitive decline (SCD). The left dorsolateral prefrontal cortex (DLPFC) is associated with encoding episodic memories. Repetitive transcranial magnetic stimulation (rTMS) is a novel and viable tool to improve cognitive function in Alzheimer's disease (AD) and mild cognitive impairment, but the treatment effect in SCD has not been studied. We aim to investigate the efficacy of rTMS on episodic memory in individuals with SCD, and to explore the potential mechanisms of neural plasticity. Methods In our randomized, sham-controlled trial, patients (n = 60) with SCD will receive 20 sessions (5 consecutive days per week for 4 weeks) of real rTMS (n = 30) or sham rTMS (n = 30) over the left DLPFC. The primary outcome is the Auditory Verbal Learning Test-Huashan version (AVLT-H). Other neuropsychological examinations and the long-term potentiation (LTP)-like cortical plasticity evaluation serve as the secondary outcomes. These outcomes will be assessed before and at the end of the intervention. Discussion If the episodic memory of SCD improve after the intervention, the study will confirm that rTMS is a promising intervention for cognitive function improvement on the early stage of dementia. This study will also provide important clinical evidence for early intervention in AD and emphasizes the significance that impaired LTP-like cortical plasticity may be a potential biomarker of AD prognosis by demonstrating the predictive role of LTP on cognitive improvement in SCD. Ethics and dissemination The study was approved by the Human Research Ethics Committee of the hospital (No. 2023-002-01). The results will be published in peer-review publications. Clinical trial registration https://www.chictr.org.cn/, identifier ChiCTR2300075517.
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Affiliation(s)
- Tianjiao Zhang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Sisi Huang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qian Lu
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | - Jie Song
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Teng
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ying Shen
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Guillén N, Contador J, Buongiorno M, Álvarez I, Culell N, Alcolea D, Lleó A, Fortea J, Piñol-Ripoll G, Carnes-Vendrell A, Lourdes Ispierto M, Vilas D, Puig-Pijoan A, Fernández-Lebrero A, Balasa M, Sánchez-Valle R, Lladó A. Agreement of cerebrospinal fluid biomarkers and amyloid-PET in a multicenter study. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01701-y. [PMID: 37898567 DOI: 10.1007/s00406-023-01701-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 10/02/2023] [Indexed: 10/30/2023]
Abstract
Core Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers have shown incomplete agreement with amyloid-positron emission tomography (PET). Our goal was to analyze the agreement between AD CSF biomarkers and amyloid-PET in a multicenter study. Retrospective multicenter study (5 centers). Participants who underwent both CSF biomarkers and amyloid-PET scan within 18 months were included. Clinical diagnoses were made according to latest diagnostic criteria by the attending clinicians. CSF Amyloid Beta1-42 (Aβ1-42, A), phosphorliated tau 181 (pTau181, T) and total tau (tTau, N) biomarkers were considered normal (-) or abnormal ( +) according to cutoffs of each center. Amyloid-PET was visually classified as positive/negative. Agreement between CSF biomarkers and amyloid-PET was analyzed by overall percent agreement (OPA). 236 participants were included (mean age 67.9 years (SD 9.1), MMSE score 24.5 (SD 4.1)). Diagnoses were mild cognitive impairment or dementia due to AD (49%), Lewy body dementia (22%), frontotemporal dementia (10%) and others (19%). Mean time between tests was 5.1 months (SD 4.1). OPA between single CSF biomarkers and amyloid-PET was 74% for Aβ1-42, 75% for pTau181, 73% for tTau. The use of biomarker ratios improved OPA: 87% for Aβ1-42/Aβ1-40 (n = 155), 88% for pTau181/Aβ1-42 (n = 94) and 82% for tTau/Aβ1-42 (n = 160). A + T + N + cases showed the highest agreement between CSF biomarkers and amyloid-PET (96%), followed by A-T-N- cases (89%). Aβ1-42/Aβ1-40 was a better marker of cerebral amyloid deposition, as identified by amyloid tracers, than Aβ1-42 alone. Combined biomarkers in CSF predicted amyloid-PET result better than single biomarkers.
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Affiliation(s)
- Núria Guillén
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Carrer Villarroel, 170, 08036, Barcelona, Spain
| | - José Contador
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Carrer Villarroel, 170, 08036, Barcelona, Spain
| | - Mariateresa Buongiorno
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
- Fundació Docència i Recerca Mútua Terrassa, Terrassa, Spain
| | - Ignacio Álvarez
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
- Fundació Docència i Recerca Mútua Terrassa, Terrassa, Spain
| | - Natalia Culell
- Memory Disorders Unit, Department of Neurology, Hospital Universitari Mutua de Terrassa, Terrassa, Spain
- Fundació Docència i Recerca Mútua Terrassa, Terrassa, Spain
| | - Daniel Alcolea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Madrid, Spain
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Madrid, Spain
| | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau-Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas. CIBERNED, Madrid, Spain
| | - Gerard Piñol-Ripoll
- Clinical Neuroscience Research, Unitat Trastorns Cognitius, IRBLleida, Santa Maria University Hospital, Lleida, Spain
| | - Anna Carnes-Vendrell
- Clinical Neuroscience Research, Unitat Trastorns Cognitius, IRBLleida, Santa Maria University Hospital, Lleida, Spain
| | - María Lourdes Ispierto
- Neurodegenerative Diseases Unit, Neurology Service and Neurosciences Department, University Hospital Germans Trias i Pujol (HUGTP), Badalona, Spain
| | - Dolores Vilas
- Neurodegenerative Diseases Unit, Neurology Service and Neurosciences Department, University Hospital Germans Trias i Pujol (HUGTP), Badalona, Spain
| | - Albert Puig-Pijoan
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Aida Fernández-Lebrero
- Cognitive Decline and Movement Disorders Unit, Neurology Department, Hospital del Mar, Barcelona, Spain
| | - Mircea Balasa
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Carrer Villarroel, 170, 08036, Barcelona, Spain
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Carrer Villarroel, 170, 08036, Barcelona, Spain
- Institute of Neurosciences, Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Carrer Villarroel, 170, 08036, Barcelona, Spain.
- Institute of Neurosciences, Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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Larsen RA, Constantopoulos E, Kodishala C, Lovering E, Kumar R, Hulshizer CA, Lennon RJ, Crowson CS, Nguyen AT, Myasoedova E. Neuropathologic evaluation of cerebrovascular disease in patients with rheumatoid arthritis. Rheumatology (Oxford) 2023; 62:SI296-SI303. [PMID: 37871918 PMCID: PMC10593511 DOI: 10.1093/rheumatology/kead396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/19/2023] [Indexed: 10/25/2023] Open
Abstract
OBJECTIVES Active RA has been associated with an increased risk of both cardiovascular and peripheral vascular disease. We aimed to compare cerebrovascular changes in patients with and without RA, both with and without a neuropathologic diagnosis of neurodegenerative disease. METHODS Patients with RA (n = 32) who died and underwent autopsy between 1994 and 2021 were matched to non-RA controls (n = 32) on age, sex and level of neurodegenerative proteinopathy. Routine neuropathologic examination was performed at the time of autopsy. Cerebrovascular disease severity was evaluated using modified Kalaria and Strozyk scales. Clinical dementia diagnoses were manually collected from patients' medical records. RESULTS Prior to death, 15 (47%) RA patients and 14 (44%) controls were diagnosed with dementia; 9 patients in each group (60% and 64%, respectively) had Alzheimer's disease. The prevalence of cerebral amyloid angiopathy, microinfarcts, infarcts or strokes was found to be similar between groups. Patients with RA were more likely to have more severe vascular changes in the basal ganglia by Kalaria scale (P = 0.04), but not in other brain areas. There were no significant differences in the presence of large infarcts, lacunar infarcts or leukoencephalopathy by Strozyk scale. Among patients with RA and no clinical diagnosis of dementia, the majority had mild-moderate cerebrovascular abnormalities, and a subset of patients had Alzheimer's disease neuropathologic changes. CONCLUSION In this small series of autopsies, patients with and without RA had largely similar cerebrovascular pathology when controlling for neurodegenerative proteinopathies, although patients with RA exhibited more pronounced cerebrovascular disease in the basal ganglia.
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Affiliation(s)
- Rachel A Larsen
- Department of Laboratory Medicine and Pathology, Neuropathology Mayo Clinic, Rochester, MN, USA
| | - Eleni Constantopoulos
- Department of Laboratory Medicine and Pathology, Neuropathology Mayo Clinic, Rochester, MN, USA
| | - Chanakya Kodishala
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Edward Lovering
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Rakesh Kumar
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Ryan J Lennon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Cynthia S Crowson
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Aivi T Nguyen
- Department of Laboratory Medicine and Pathology, Neuropathology Mayo Clinic, Rochester, MN, USA
| | - Elena Myasoedova
- Division of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
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Pauwels EK, Boer GJ. Friends and Foes in Alzheimer's Disease. Med Princ Pract 2023; 32:313-322. [PMID: 37788649 PMCID: PMC10727688 DOI: 10.1159/000534400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 10/01/2023] [Indexed: 10/05/2023] Open
Abstract
Alzheimer's disease (AD) is a disabling neurodegenerative disease. The prognosis is poor, and currently there are no proven effective therapies. Most likely, the etiology is related to cerebral inflammatory processes that cause neuronal damage, resulting in dysfunction and apoptosis of nerve cells. Pathogens that evoke a neuroinflammatory response, collectively activate astrocytes and microglia, which contributes to the secretion of pro-inflammatory cytokines. This leads to the deposit of clustered fragments of beta-amyloid and misfolded tau proteins which do not elicit an adequate immune reaction. Apart from the function of astrocytes and microglia, molecular entities such as TREM2, SYK, C22, and C33 play a role in the physiopathology of AD. Furthermore, bacteria and viruses may trigger an overactive inflammatory response in the brain. Pathogens like Helicobacter pylori, Chlamydia pneumonia, and Porphyromonas gingivalis (known for low-grade infection in the oral cavity) can release gingipains, which are enzymes that can damage and destroy neurons. Chronic infection with Borrelia burgdorferi (the causative agent of Lyme disease) can co-localize with tau tangles and amyloid deposits. As for viral infections, herpes simplex virus 1, cytomegalovirus, and Epstein-Barr virus can play a role in the pathogenesis of AD. Present investigations have resulted in the development of antibodies that can clear the brain of beta-amyloid plaques. Trials with humanized aducanumab, lecanemab, and donanemab revealed limited success in AD patients. However, AD should be considered as a continuum in which the initial preclinical phase may take 10 or even 20 years. It is generally thought that this phase offers a window for efficacious treatment. Therefore, research is also focused on the identification of biomarkers for early AD detection. In this respect, the plasma measurement of neurofilament light chain in patients treated with hydromethylthionine mesylate may well open a new way to prevent the formation of tau tangles and represents the first treatment for AD at its roots.
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Affiliation(s)
- Ernest K.J. Pauwels
- Leiden University and Leiden University Medical Center, Leiden, The Netherlands
| | - Gerard J. Boer
- Netherlands Institute for Brain Research, Royal Academy of Arts and Sciences, Amsterdam, The Netherlands
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Peña-Bautista C, Álvarez-Sánchez L, Ferrer-Cairols I, García-Vallés L, Baquero M, Cháfer-Pericás C. Assessment of COVID-19 lockdown effect on early Alzheimer Disease progression. J Neurol 2023; 270:4585-4592. [PMID: 37505239 DOI: 10.1007/s00415-023-11899-5] [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: 05/26/2023] [Revised: 07/21/2023] [Accepted: 07/23/2023] [Indexed: 07/29/2023]
Abstract
INTRODUCTION Recently, many aspects of daily life have changed due to the COVID-19 pandemic. Patients with Alzheimer Disease (AD) could be more vulnerable to those daily life changes as experts expected. Mainly, the lockdown involved reduced social contact and cognitive stimulation. So, it could affect the AD expression, increasing the patients' disabilities development. OBJECTIVE The aim of this study is to evaluate the effect of COVID-19 lockdown on cognitive impairment progression in early AD patients. METHODOLOGY The participants were patients with mild cognitive impairment due to AD (MCI-AD) from the Neurology Unit (La Fe Hospital), who were neuropsychologically evaluated (cognitive impairment, daily activity tests) twice over 2 years. They were classified into a case group (n = 21), evaluated before and after lockdown condition, and a control group (n = 20), evaluated entirely before the lockdown condition. RESULTS All the participants showed increasing cognitive impairment and functional deterioration over the 2-year period of evaluation (p < 0.05). However, a faster worsening was not observed as a consequence of the COVID-19 pandemic and the lockdown condition. In fact, the statistical significance observed between the two study groups for daily life activities showed that the worsening was even lesser in the group evaluated under the lockdown condition. CONCLUSION Medium-term effects of COVID-19 lockdown could not involve an acceleration of the cognitive decline in MCI-AD patients in a 2-year evaluation period. In addition, the least worsening observed for daily living activities in the case group was probably due to the change in routines. Therefore, the common assumption of cognitive worsening of AD progression due to the lockdown in comparison with normal disease progression was not demonstrated in this study, at least for MCI-AD cases. However, more longitudinal studies are required to evaluate long-term effects in these patients.
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Affiliation(s)
- Carmen Peña-Bautista
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Lourdes Álvarez-Sánchez
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Inés Ferrer-Cairols
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Lorena García-Vallés
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - Miguel Baquero
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
- Division of Neurology, Hospital Universitari I Politècnic La Fe, Valencia, Spain
| | - Consuelo Cháfer-Pericás
- Alzheimer's Disease Research Group, Instituto de Investigación Sanitaria La Fe, Valencia, Spain.
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Hakami F, Madkhali MA, Saleh E, Ayoub R, Moafa S, Moafa A, Alnami B, Maashi B, Khubrani S, Busayli W, Alhazmi A. Awareness and Perception Toward Alzheimer's Disease Among Residents Living in the Jazan Province, Saudi Arabia: A Cross-Sectional Study. Cureus 2023; 15:e44505. [PMID: 37789999 PMCID: PMC10544552 DOI: 10.7759/cureus.44505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2023] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a growing public health concern, yet misconceptions about the condition are common. This study assessed awareness and social perceptions of AD in Jazan. METHODS A cross-sectional survey of 925 adults was conducted. Knowledge was assessed using a 30-item Alzheimer's Disease Knowledge Scale (ADKS). Social perceptions were evaluated using a 10-item questionnaire. RESULTS Many had misconceptions about AD epidemiology, causes, management, and care. The mean ADKS score was 8.89 ± 5.17 out of 30. Knowledge was poorest for symptoms, risk factors, treatment, caregiving, and life impact. Knowledge was highest in those aged >45 years (p = 0.018), in those with income > 15K SR (p = 0.004), in retired individuals (p = 0.023), and in those who learned about AD from books (p = 0.001), healthcare professionals (p = 0.001), or had an affected relative (p = 0.001). However, knowledge was low across all domains, averaging only 29% correct answers. Most respondents held positive social perceptions, yet sizable minorities saw isolation, legal intervention, and institutionalization as appropriate. Additionally, a portion of respondents associated stigma with individuals affected by AD and expressed a sense of burden associated with the condition. CONCLUSIONS There are substantial knowledge gaps and some stigmatizing attitudes about AD in Jazan. Awareness regarding the causes, diagnosis, and management of AD was low. Misconceptions exist that AD only affects older people. Improved public education, especially for higher-risk groups, is needed to address misconceptions and promote social inclusion for those with dementia. Healthcare professionals can play a crucial role.
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Affiliation(s)
- Faisal Hakami
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Mohammed Ali Madkhali
- Internal Medicine, Hematology and Oncology, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Eman Saleh
- Neuropsychiatry, Faculty of Medicine, Menoufia University, Shibin El Kom, EGY
| | - Raum Ayoub
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Sarah Moafa
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Akram Moafa
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Bushra Alnami
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Bushra Maashi
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Saad Khubrani
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Wafa Busayli
- Medicine, Faculty of Medicine, Jazan University, Jazan, SAU
| | - Abdulaziz Alhazmi
- Microbiology and Pathology, Faculty of Medicine, Jazan University, Jazan, SAU
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Pinky, Neha, Salman M, Kumar P, Khan MA, Jamal A, Parvez S. Age-related pathophysiological alterations in molecular stress markers and key modulators of hypoxia. Ageing Res Rev 2023; 90:102022. [PMID: 37490963 DOI: 10.1016/j.arr.2023.102022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 06/30/2023] [Accepted: 07/21/2023] [Indexed: 07/27/2023]
Abstract
Alzheimer's disease (AD) is characterized by an adverse cellular environment and pathological alterations in distinct brain regions. The development is triggered or facilitated by a condition such as hypoxia or ischemia, or inflammation and is associated with disruptions of fundamental cellular functions, including metabolic and ion homeostasis. Increasing evidence suggests that hypoxia may affect many pathological aspects of AD, including oxidative stress, mitochondrial dysfunction, ER stress, amyloidogenic processing of APP, and Aβ accumulation, which may collectively result in neurodegeneration. Further investigation into the relationship between hypoxia and AD may provide an avenue for the effective preservation and pharmacological treatment of this neurodegenerative disease. This review summarizes the effects of normoxia and hypoxia on AD pathogenesis and discusses the underlying mechanisms. Regulation of HIF-1α and the role of its key players, including P53, VEGF, and GLUT1, are also discussed.
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Affiliation(s)
- Pinky
- Department of Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
| | - Neha
- Department of Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
| | - Mohd Salman
- Department of Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
| | - Pratika Kumar
- Department of Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
| | - Mohammad Ahmed Khan
- Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, India.
| | - Azfar Jamal
- Department of Biology, College of Science, Al-Zulfi-, Majmaah University, Al-Majmaah 11952, Saudi Arabia; Health and Basic Science Research Centre, Majmaah University, Al-Majmaah 11952, Saudi Arabia.
| | - Suhel Parvez
- Department of Toxicology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.
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Peng J, Wang W, Song Q, Hou J, Jin H, Qin X, Yuan Z, Wei Y, Shu Z. 18F-FDG-PET Radiomics Based on White Matter Predicts The Progression of Mild Cognitive Impairment to Alzheimer Disease: A Machine Learning Study. Acad Radiol 2023; 30:1874-1884. [PMID: 36587998 DOI: 10.1016/j.acra.2022.12.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/11/2022] [Accepted: 12/18/2022] [Indexed: 12/31/2022]
Abstract
RATIONALE AND OBJECTIVES To build a model using white-matter radiomics features on positron-emission tomography (PET) and machine learning methods to predict progression from mild cognitive impairment (MCI) to Alzheimer disease (AD). MATERIALS AND METHODS We analyzed the data of 341 MCI patients from the Alzheimer's Disease Neuroimaging Initiative, of whom 102 progressed to AD during an 8-year follow-up. The patients were divided into the training (238 patients) and test groups (103 patients). PET-based radiomics features were extracted from the white matter in the training group, and dimensionally reduced to construct a psychoradiomics signature (PS), which was combined with multimodal data using machine learning methods to construct an integrated model. Model performance was evaluated using receiver operating characteristic curves in the test group. RESULTS Clinical Dementia Rating (CDR) scores, Alzheimer's Disease Assessment Scale (ADAS) scores, and PS independently predicted MCI progression to AD on multivariate logistic regression. The areas under the curve (AUCs) of the CDR, ADAS and PS in the training and test groups were 0.683, 0.755, 0.747 and 0.737, 0.743, 0.719 respectively, and were combined using a support vector machine to construct an integrated model. The AUC of the integrated model in the training and test groups was 0.868 and 0.865, respectively (sensitivity, 0.873 and 0.839, respectively; specificity, 0.784 and 0.806, respectively). The AUCs of the integrated model significantly differed from those of other predictors in both groups (p < 0.05, Delong test). CONCLUSION Our psych radiomics signature based on white-matter PET data predicted MCI progression to AD. The integrated model built using multimodal data and machine learning identified MCI patients at a high risk of progression to AD.
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Affiliation(s)
- Jiaxuan Peng
- Jinzhou medical university, Jinzhou, Liaoning Province, China
| | - Wei Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical and Pharmaceutical College, Chongqin, China
| | - Qiaowei Song
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Jie Hou
- Jinzhou medical university, Jinzhou, Liaoning Province, China
| | - Hui Jin
- Bengbu medical college, Bengbu, China
| | - Xue Qin
- Bengbu medical college, Bengbu, China
| | - Zhongyu Yuan
- Jinzhou medical university, Jinzhou, Liaoning Province, China
| | - Yuguo Wei
- Department of Pharmaceuticals Diagnosis, GE Healthcare, Hangzhou, China
| | - Zhenyu Shu
- Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
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Sousa T, Moreira PI, Cardoso S. Current Advances in Mitochondrial Targeted Interventions in Alzheimer's Disease. Biomedicines 2023; 11:2331. [PMID: 37760774 PMCID: PMC10525414 DOI: 10.3390/biomedicines11092331] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/29/2023] Open
Abstract
Alzheimer's disease is the most prevalent neurodegenerative disorder and affects the lives not only of those who are diagnosed but also of their caregivers. Despite the enormous social, economic and political burden, AD remains a disease without an effective treatment and with several failed attempts to modify the disease course. The fact that AD clinical diagnosis is most often performed at a stage at which the underlying pathological events are in an advanced and conceivably irremediable state strongly hampers treatment attempts. This raises the awareness of the need to identify and characterize the early brain changes in AD, in order to identify possible novel therapeutic targets to circumvent AD's cascade of events. One of the most auspicious targets is mitochondria, powerful organelles found in nearly all cells of the body. A vast body of literature has shown that mitochondria from AD patients and model organisms of the disease differ from their non-AD counterparts. In view of this evidence, preserving and/or restoring mitochondria's health and function can represent the primary means to achieve advances to tackle AD. In this review, we will briefly assess and summarize the previous and latest evidence of mitochondria dysfunction in AD. A particular focus will be given to the recent updates and advances in the strategy options aimed to target faulty mitochondria in AD.
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Affiliation(s)
- Tiago Sousa
- Faculty of Medicine, University of Coimbra, 3000-370 Coimbra, Portugal;
| | - Paula I. Moreira
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal;
- CIBB—Center for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
- Institute of Physiology, Faculty of Medicine, University of Coimbra, 3000-370 Coimbra, Portugal
| | - Susana Cardoso
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal;
- CIBB—Center for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal
- IIIUC—Institute for Interdisciplinary Research, University of Coimbra, 3030-789 Coimbra, Portugal
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Tahami Monfared AA, Fu S, Hummel N, Qi L, Chandak A, Zhang R, Zhang Q. Estimating Transition Probabilities Across the Alzheimer's Disease Continuum Using a Nationally Representative Real-World Database in the United States. Neurol Ther 2023; 12:1235-1255. [PMID: 37256433 PMCID: PMC10310620 DOI: 10.1007/s40120-023-00498-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/12/2023] [Indexed: 06/01/2023] Open
Abstract
INTRODUCTION Clinical Alzheimer's disease (AD) begins with mild cognitive impairment (MCI) and progresses to mild, moderate, or severe dementia, constituting a disease continuum that eventually leads to death. This study aimed to estimate the probabilities of transitions across those disease states. METHODS We developed a mixed-effects multi-state Markov model to estimate the transition probabilities, adjusted for 5 baseline covariates, using the Health and Retirement Study (HRS) database. HRS surveys older adults in the United States bi-annually. Alzheimer states were defined using the modified Telephone Interview of Cognitive Status (TICS-m). RESULTS A total of 11,292 AD patients were analyzed. Patients were 70.8 ± 9.0 years old, 54.9% female, and with 12.0 ± 3.3 years of education. Within 1 year from the initial state, the model estimated a higher probability of transition to the next AD state in earlier disease: 12.8% from MCI to mild AD and 5.0% from mild to moderate AD, but < 1% from moderate to severe AD. After 10 years, the probability of transition to the next state was markedly higher for all states, but still higher in earlier disease: 29.8% from MCI to mild AD, 23.5% from mild to moderate AD, and 5.7% from moderate to severe AD. Across all AD states, the probability of transition to death was < 5% after 1 year and > 15% after 10 years. Older age, fewer years of education, unemployment, and nursing home stay were associated with a higher risk of disease progression (p < 0.01). CONCLUSIONS This analysis shows that the risk of progression is greater in earlier AD states, increases over time, and is higher in patients who are older, with fewer years of education, unemployed, or in a nursing home at baseline. The estimated transition probabilities can provide guidance for future disease management and clinical trial design optimization, and can be used to refine existing cost-effectiveness frameworks.
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Affiliation(s)
- Amir Abbas Tahami Monfared
- Eisai Inc., 200 Metro Blvd, Nutley, NJ, 07110, USA.
- Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
| | - Shuai Fu
- Certara, Integrated Drug Development, Office 610, South Tower, HongKong Plaza, No. 283 Huaihai Road Middle, Huangpu District, Shanghai, China
| | - Noemi Hummel
- Certara GmbH, Chesterplatz 1, 79539, Lörrach, Germany
| | - Luyuan Qi
- Certara Sarl, 54 Rue de Londres, 75008, Paris, France
| | - Aastha Chandak
- Certara Inc., 100 Overlook Center, Suite 101, Princeton, NJ, 08540, USA
| | | | - Quanwu Zhang
- Eisai Inc., 200 Metro Blvd, Nutley, NJ, 07110, USA
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Leisher S, Bohorquez A, Gay M, Garcia V, Jones R, Baldaranov D, Rafii MS. Amyloid-Lowering Monoclonal Antibodies for the Treatment of Early Alzheimer's Disease. CNS Drugs 2023; 37:671-677. [PMID: 37470978 PMCID: PMC10439019 DOI: 10.1007/s40263-023-01021-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/21/2023]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia worldwide. Numerous biomarker studies have clearly demonstrated that AD has a long asymptomatic phase, with the development of pathology occurring at least 2 decades prior to the development of any symptoms. These pathological changes include a stepwise development of amyloid-β (Aβ) plaques, followed by tau neurofibrillary tangles and subsequently extensive neurodegeneration in the brain. In this review, we discuss the first class of drugs intended to be disease modifying to be approved by the US Food and Drug Administration (FDA) for AD-anti-Aβ monoclonal antibodies-and the scientific rationale with which they were developed.
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Affiliation(s)
- Solana Leisher
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Adriana Bohorquez
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Marcus Gay
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Victoria Garcia
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Renarda Jones
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Dobri Baldaranov
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA
| | - Michael S Rafii
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine of University of Southern California, San Diego, CA, 92130, USA.
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Donato L, Mordà D, Scimone C, Alibrandi S, D'Angelo R, Sidoti A. How Many Alzheimer-Perusini's Atypical Forms Do We Still Have to Discover? Biomedicines 2023; 11:2035. [PMID: 37509674 PMCID: PMC10377159 DOI: 10.3390/biomedicines11072035] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Alzheimer-Perusini's (AD) disease represents the most spread dementia around the world and constitutes a serious problem for public health. It was first described by the two physicians from whom it took its name. Nowadays, we have extensively expanded our knowledge about this disease. Starting from a merely clinical and histopathologic description, we have now reached better molecular comprehension. For instance, we passed from an old conceptualization of the disease based on plaques and tangles to a more modern vision of mixed proteinopathy in a one-to-one relationship with an alteration of specific glial and neuronal phenotypes. However, no disease-modifying therapies are yet available. It is likely that the only way to find a few "magic bullets" is to deepen this aspect more and more until we are able to draw up specific molecular profiles for single AD cases. This review reports the most recent classifications of AD atypical variants in order to summarize all the clinical evidence using several discrimina (for example, post mortem neurofibrillary tangle density, cerebral atrophy, or FDG-PET studies). The better defined four atypical forms are posterior cortical atrophy (PCA), logopenic variant of primary progressive aphasia (LvPPA), behavioral/dysexecutive variant and AD with corticobasal degeneration (CBS). Moreover, we discuss the usefulness of such classifications before outlining the molecular-genetic aspects focusing on microglial activity or, more generally, immune system control of neuroinflammation and neurodegeneration.
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Affiliation(s)
- Luigi Donato
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Domenico Mordà
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Concetta Scimone
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Simona Alibrandi
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Rosalia D'Angelo
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
| | - Antonina Sidoti
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
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Wisch JK, Butt OH, Gordon BA, Schindler SE, Fagan AM, Henson RL, Yang C, Boerwinkle AH, Benzinger TLS, Holtzman DM, Morris JC, Cruchaga C, Ances BM. Proteomic clusters underlie heterogeneity in preclinical Alzheimer's disease progression. Brain 2023; 146:2944-2956. [PMID: 36542469 PMCID: PMC10316757 DOI: 10.1093/brain/awac484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Heterogeneity in progression to Alzheimer's disease (AD) poses challenges for both clinical prognosis and clinical trial implementation. Multiple AD-related subtypes have previously been identified, suggesting differences in receptivity to drug interventions. We identified early differences in preclinical AD biomarkers, assessed patterns for developing preclinical AD across the amyloid-tau-(neurodegeneration) [AT(N)] framework, and considered potential sources of difference by analysing the CSF proteome. Participants (n = 10) enrolled in longitudinal studies at the Knight Alzheimer Disease Research Center completed four or more lumbar punctures. These individuals were cognitively normal at baseline. Cerebrospinal fluid measures of amyloid-β (Aβ)42, phosphorylated tau (pTau181), and neurofilament light chain (NfL) as well as proteomics values were evaluated. Imaging biomarkers, including PET amyloid and tau, and structural MRI, were repeatedly obtained when available. Individuals were staged according to the amyloid-tau-(neurodegeneration) framework. Growth mixture modelling, an unsupervised clustering technique, identified three patterns of biomarker progression as measured by CSF pTau181 and Aβ42. Two groups (AD Biomarker Positive and Intermediate AD Biomarker) showed distinct progression from normal biomarker status to having biomarkers consistent with preclinical AD. A third group (AD Biomarker Negative) did not develop abnormal AD biomarkers over time. Participants grouped by CSF trajectories were re-classified using only proteomic profiles (AUCAD Biomarker Positive versus AD Biomarker Negative = 0.857, AUCAD Biomarker Positive versus Intermediate AD Biomarkers = 0.525, AUCIntermediate AD Biomarkers versus AD Biomarker Negative = 0.952). We highlight heterogeneity in the development of AD biomarkers in cognitively normal individuals. We identified some individuals who became amyloid positive before the age of 50 years. A second group, Intermediate AD Biomarkers, developed elevated CSF ptau181 significantly before becoming amyloid positive. A third group were AD Biomarker Negative over repeated testing. Our results could influence the selection of participants for specific treatments (e.g. amyloid-reducing versus other agents) in clinical trials. CSF proteome analysis highlighted additional non-AT(N) biomarkers for potential therapies, including blood-brain barrier-, vascular-, immune-, and neuroinflammatory-related targets.
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Affiliation(s)
- Julie K Wisch
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Omar H Butt
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Brian A Gordon
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Hope Center, Washington University in Saint Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Anne M Fagan
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rachel L Henson
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Chengran Yang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Anna H Boerwinkle
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - David M Holtzman
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Hope Center, Washington University in Saint Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Carlos Cruchaga
- Hope Center, Washington University in Saint Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Beau M Ances
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110, USA
- Hope Center, Washington University in Saint Louis, St. Louis, MO 63110, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA
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Yu SP, Jiang MQ, Shim SS, Pourkhodadad S, Wei L. Extrasynaptic NMDA receptors in acute and chronic excitotoxicity: implications for preventive treatments of ischemic stroke and late-onset Alzheimer's disease. Mol Neurodegener 2023; 18:43. [PMID: 37400870 DOI: 10.1186/s13024-023-00636-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 06/01/2023] [Indexed: 07/05/2023] Open
Abstract
Stroke and late-onset Alzheimer's disease (AD) are risk factors for each other; the comorbidity of these brain disorders in aging individuals represents a significant challenge in basic research and clinical practice. The similarities and differences between stroke and AD in terms of pathogenesis and pathophysiology, however, have rarely been comparably reviewed. Here, we discuss the research background and recent progresses that are important and informative for the comorbidity of stroke and late-onset AD and related dementia (ADRD). Glutamatergic NMDA receptor (NMDAR) activity and NMDAR-mediated Ca2+ influx are essential for neuronal function and cell survival. An ischemic insult, however, can cause rapid increases in glutamate concentration and excessive activation of NMDARs, leading to swift Ca2+ overload in neuronal cells and acute excitotoxicity within hours and days. On the other hand, mild upregulation of NMDAR activity, commonly seen in AD animal models and patients, is not immediately cytotoxic. Sustained NMDAR hyperactivity and Ca2+ dysregulation lasting from months to years, nevertheless, can be pathogenic for slowly evolving events, i.e. degenerative excitotoxicity, in the development of AD/ADRD. Specifically, Ca2+ influx mediated by extrasynaptic NMDARs (eNMDARs) and a downstream pathway mediated by transient receptor potential cation channel subfamily M member (TRPM) are primarily responsible for excitotoxicity. On the other hand, the NMDAR subunit GluN3A plays a "gatekeeper" role in NMDAR activity and a neuroprotective role against both acute and chronic excitotoxicity. Thus, ischemic stroke and AD share an NMDAR- and Ca2+-mediated pathogenic mechanism that provides a common receptor target for preventive and possibly disease-modifying therapies. Memantine (MEM) preferentially blocks eNMDARs and was approved by the Federal Drug Administration (FDA) for symptomatic treatment of moderate-to-severe AD with variable efficacy. According to the pathogenic role of eNMDARs, it is conceivable that MEM and other eNMDAR antagonists should be administered much earlier, preferably during the presymptomatic phases of AD/ADRD. This anti-AD treatment could simultaneously serve as a preconditioning strategy against stroke that attacks ≥ 50% of AD patients. Future research on the regulation of NMDARs, enduring control of eNMDARs, Ca2+ homeostasis, and downstream events will provide a promising opportunity to understand and treat the comorbidity of AD/ADRD and stroke.
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Affiliation(s)
- Shan P Yu
- Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
- Center for Visual & Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA, 30033, USA.
| | - Michael Q Jiang
- Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Visual & Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA, 30033, USA
| | - Seong S Shim
- Center for Visual & Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA, 30033, USA
| | - Soheila Pourkhodadad
- Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, 30322, USA
- Center for Visual & Neurocognitive Rehabilitation, Atlanta VA Medical Center, Decatur, GA, 30033, USA
| | - Ling Wei
- Department of Anesthesiology, Emory University School of Medicine, Atlanta, GA, 30322, USA.
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Gaetani L, Chiasserini D, Paolini Paoletti F, Bellomo G, Parnetti L. Required improvements for cerebrospinal fluid-based biomarker tests of Alzheimer's disease. Expert Rev Mol Diagn 2023; 23:1195-1207. [PMID: 37902844 DOI: 10.1080/14737159.2023.2276918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 10/25/2023] [Indexed: 11/01/2023]
Abstract
INTRODUCTION Cerebrospinal fluid (CSF) biomarkers represent a well-established tool for diagnosing Alzheimer's disease (AD), independently from the clinical stage, by reflecting the presence of brain amyloidosis (A+) and tauopathy (T+). In front of this important achievement, so far, (i) CSF AD biomarkers have not yet been adopted for routine clinical use in all Centers dedicated to AD, mainly due to inter-lab variation and lack of internationally accepted cutoff values; (ii) we do need to add other biomarkers more suitable to correlate with the clinical stage and disease monitoring; (iii) we also need to detect the co-presence of other 'non-AD' pathologies. AREAS COVERED Efforts to establish standardized cutoff values based on large-scale multi-center studies are discussed. The influence of aging and comorbidities on CSF biomarker levels is also analyzed, and possible solutions are presented, i.e. complementing the A/T/(N) system with markers of axonal damage and synaptic derangement. EXPERT OPINION The first, mandatory need is to reach common cutoff values and defined (automated) methodologies for CSF AD biomarkers. To properly select subjects deserving CSF analysis, blood tests might represent the first-line approach. In those subjects undergoing CSF analysis, multiple biomarkers, able to give a comprehensive and personalized pathophysiological/prognostic information, should be included.
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Affiliation(s)
- Lorenzo Gaetani
- 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
| | | | - Giovanni Bellomo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Roth S, Burnie N, Suridjan I, Yan JT, Carboni M. Current Diagnostic Pathways for Alzheimer's Disease: A Cross-Sectional Real-World Study Across Six Countries. J Alzheimers Dis Rep 2023; 7:659-674. [PMID: 37483324 PMCID: PMC10357118 DOI: 10.3233/adr230007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/24/2023] [Indexed: 07/25/2023] Open
Abstract
Background Diagnostic pathways for patients presenting with cognitive complaints may vary across geographies. Objective To describe diagnostic pathways of patients presenting with cognitive complaints across 6 countries. Methods This real-world, cross-sectional study analyzed chart-extracted data from healthcare providers (HCPs) for 6,744 patients across China, France, Germany, Spain, UK, and the US. Results Most common symptoms at presentation were cognitive (memory/amnestic; 89.86%), followed by physical/behavioral (87.13%). Clinical/cognitive tests were used in > 95%, with Mini-Mental State Examination being the most common cognitive test (79.0%). Blood tests for APOE ɛ4/other mutations, or to rule out treatable causes, were used in half of the patients. Clinical and cognitive tests were used at higher frequency at earlier visits, and amyloid PET/CSF biomarker testing at higher frequency at later visits. The latter were ordered at low rates even by specialists (across countries, 5.7% to 28.7% for amyloid PET and 5.0% to 27.3% for CSF testing). Approximately half the patients received a diagnosis (52.1% of which were Alzheimer's disease [AD]). Factors that influenced risk of not receiving a diagnosis were HCP type (higher for primary care physicians versus specialists) and region (highest in China and Germany). Conclusion These data highlight variability in AD diagnostic pathways across countries and provider types. About 45% of patients are referred/told to 'watch and wait'. Improvements can be made in the use of amyloid PET and CSF testing. Efforts should focus on further defining biomarkers for those at risk for AD, and on dismantling barriers such low testing capacity and reimbursement challenges.
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Affiliation(s)
- Sophie Roth
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
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Verdi S, Rutherford S, Fraza C, Tosun D, Altmann A, Raket LL, Schott JM, Marquand AF, Cole JH. Personalising Alzheimer's Disease progression using brain atrophy markers. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.15.23291418. [PMID: 37398392 PMCID: PMC10312850 DOI: 10.1101/2023.06.15.23291418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
INTRODUCTION Neuroanatomical normative modelling can capture individual variability in Alzheimer's Disease (AD). We used neuroanatomical normative modelling to track individuals' disease progression in people with mild cognitive impairment (MCI) and patients with AD. METHODS Cortical thickness and subcortical volume neuroanatomical normative models were generated using healthy controls (n~58k). These models were used to calculate regional Z-scores in 4361 T1-weighted MRI time-series scans. Regions with Z-scores <-1.96 were classified as outliers and mapped on the brain, and also summarised by total outlier count (tOC). RESULTS Rate of change in tOC increased in AD and in people with MCI who converted to AD and correlated with multiple non-imaging markers. Moreover, a higher annual rate of change in tOC increased the risk of MCI progression to AD. Brain Z-score maps showed that the hippocampus had the highest rate of atrophy change. CONCLUSIONS Individual-level atrophy rates can be tracked by using regional outlier maps and tOC.
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Affiliation(s)
- Serena Verdi
- Centre for Medical Image Computing, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Saige Rutherford
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6525EN, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, 6525EN, the Netherlands
| | - Charlotte Fraza
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6525EN, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, 6525EN, the Netherlands
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Andre Altmann
- Centre for Medical Image Computing, University College London, London, UK
| | - Lars Lau Raket
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, 6525EN, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, 6525EN, the Netherlands
| | - James H Cole
- Centre for Medical Image Computing, University College London, London, UK
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
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Soldevila-Domenech N, De Toma I, Forcano L, Diaz-Pellicer P, Cuenca-Royo A, Fagundo B, Lorenzo T, Gomis-Gonzalez M, Sánchez-Benavides G, Fauria K, Sastre C, Fernandez De Piérola Í, Molinuevo JL, Verdejo-Garcia A, de la Torre R. Intensive assessment of executive functions derived from performance in cognitive training games. iScience 2023; 26:106886. [PMID: 37260752 PMCID: PMC10227423 DOI: 10.1016/j.isci.2023.106886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 02/26/2023] [Accepted: 05/11/2023] [Indexed: 06/02/2023] Open
Abstract
Traditional neuropsychological tests accurately describe the current cognitive state but fall short to characterize cognitive change over multiple short time periods. We present an innovative approach to remote monitoring of executive functions on a monthly basis, which leverages the performance indicators from self-administered computerized cognitive training games (NUP-EXE). We evaluated the measurement properties of NUP-EXE in N = 56 individuals (59% women, 60-80 years) at increased risk of Alzheimer's disease (APOE-ϵ4 carriers with subjective cognitive decline) who completed a 12-month multimodal intervention for preventing cognitive decline. NUP-EXE presented good psychometric properties and greater sensitivity to change than traditional tests. Improvements in NUP-EXE correlated with improvements in functionality and were affected by participants' age and gender. This novel data collection methodology is expected to allow a more accurate characterization of an individual's response to a cognitive decline preventive intervention and to inform development of outcome measures for a new generation of intervention trials.
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Affiliation(s)
- Natalia Soldevila-Domenech
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Ilario De Toma
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Laura Forcano
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Patrícia Diaz-Pellicer
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Aida Cuenca-Royo
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Beatriz Fagundo
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Thais Lorenzo
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Maria Gomis-Gonzalez
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Gonzalo Sánchez-Benavides
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Karine Fauria
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | | | | | - José Luis Molinuevo
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Antonio Verdejo-Garcia
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
| | - Rafael de la Torre
- Neurosciences Research Programme, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Medicine and Life Sciences, Pompeu Fabra University, Barcelona, Spain
- CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Reiss AB, Muhieddine D, Jacob B, Mesbah M, Pinkhasov A, Gomolin IH, Stecker MM, Wisniewski T, De Leon J. Alzheimer's Disease Treatment: The Search for a Breakthrough. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1084. [PMID: 37374288 DOI: 10.3390/medicina59061084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/22/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023]
Abstract
As the search for modalities to cure Alzheimer's disease (AD) has made slow progress, research has now turned to innovative pathways involving neural and peripheral inflammation and neuro-regeneration. Widely used AD treatments provide only symptomatic relief without changing the disease course. The recently FDA-approved anti-amyloid drugs, aducanumab and lecanemab, have demonstrated unclear real-world efficacy with a substantial side effect profile. Interest is growing in targeting the early stages of AD before irreversible pathologic changes so that cognitive function and neuronal viability can be preserved. Neuroinflammation is a fundamental feature of AD that involves complex relationships among cerebral immune cells and pro-inflammatory cytokines, which could be altered pharmacologically by AD therapy. Here, we provide an overview of the manipulations attempted in pre-clinical experiments. These include inhibition of microglial receptors, attenuation of inflammation and enhancement of toxin-clearing autophagy. In addition, modulation of the microbiome-brain-gut axis, dietary changes, and increased mental and physical exercise are under evaluation as ways to optimize brain health. As the scientific and medical communities work together, new solutions may be on the horizon to slow or halt AD progression.
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Affiliation(s)
- Allison B Reiss
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | - Dalia Muhieddine
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | - Berlin Jacob
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | - Michael Mesbah
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | - Aaron Pinkhasov
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | - Irving H Gomolin
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
| | | | - Thomas Wisniewski
- Center for Cognitive Neurology, Departments of Neurology, Pathology and Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Joshua De Leon
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, NY 11501, USA
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48
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Ávila-Villanueva M, Dolado AM, Fernández-Blázquez M. How to Prevent and/or Revert Alzheimer's Disease Continuum During Preclinical Phases. J Alzheimers Dis Rep 2023; 7:505-512. [PMID: 37313496 PMCID: PMC10259072 DOI: 10.3233/adr220100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/13/2023] [Indexed: 06/15/2023] Open
Abstract
The development of Alzheimer's disease (AD) follows three consecutive phases: namely preclinical, prodromal or mild cognitive impairment (MCI), and dementia. In addition, the preclinical phase can be divided into subphases related to the presence of biomarkers that appear at different points before the onset of MCI. Indeed, an early risk factor could promote the appearance of additional ones through a continuum. The presence of various risk factors may trigger specific biomarkers. In this review, we comment on how modifiable risk factors for AD may be reverted, thus correlating with a possible decrease in the specific biomarkers for the disease. Finally, we discuss the development of a suitable AD prevention strategy by targeting modifiable risk factors, thereby increasing the level of "precision medicine" in healthcare systems worldwide.
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Affiliation(s)
- Marina Ávila-Villanueva
- Research in Alzheimer’s Disease, Departamento de Psicología Experimental, Procesos Cognitivos y Logopedia Universidad Complutense de Madrid, Madrid, Spain
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Alberto Marcos Dolado
- Servicio de Neurología, Hospital Clínico San Carlos, Madrid, Spain
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Miguel Fernández-Blázquez
- Departamento de Psicología Biológica y de la Salud, Facultad de Psicología, Universidad Autónoma de Madrid, Madrid, Spain
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49
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Ribeiro-dos-Santos A, de Brito LM, de Araújo GS. The fusiform gyrus exhibits differential gene-gene co-expression in Alzheimer's disease. Front Aging Neurosci 2023; 15:1138336. [PMID: 37255536 PMCID: PMC10225579 DOI: 10.3389/fnagi.2023.1138336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 04/21/2023] [Indexed: 06/01/2023] Open
Abstract
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease clinically characterized by the presence of β-amyloid plaques and tau deposits in various regions of the brain. However, the underlying factors that contribute to the development of AD remain unclear. Recently, the fusiform gyrus has been identified as a critical brain region associated with mild cognitive impairment, which may increase the risk of AD development. In our study, we performed gene co-expression and differential co-expression network analyses, as well as gene-expression-based prediction, using RNA-seq transcriptome data from post-mortem fusiform gyrus tissue samples collected from both cognitively healthy individuals and those with AD. We accessed differential co-expression networks in large cohorts such as ROSMAP, MSBB, and Mayo, and conducted over-representation analyses of gene pathways and gene ontology. Our results comprise four exclusive gene hubs in co-expression modules of Alzheimer's Disease, including FNDC3A, MED23, NRIP1, and PKN2. Further, we identified three genes with differential co-expressed links, namely FAM153B, CYP2C8, and CKMT1B. The differential co-expressed network showed moderate predictive performance for AD, with an area under the curve ranging from 0.71 to 0.76 (+/- 0.07). The over-representation analysis identified enrichment for Toll-Like Receptors Cascades and signaling pathways, such as G protein events, PIP2 hydrolysis and EPH-Epherin mechanism, in the fusiform gyrus. In conclusion, our findings shed new light on the molecular pathophysiology of AD by identifying new genes and biological pathways involved, emphasizing the crucial role of gene regulatory networks in the fusiform gyrus.
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Affiliation(s)
- Arthur Ribeiro-dos-Santos
- Programa de Pós-graduação em Genética e Biologia Molecular, Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | - Leonardo Miranda de Brito
- Programa de Pós-graduação em Genética e Biologia Molecular, Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
- Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil
| | - Gilderlanio Santana de Araújo
- Programa de Pós-graduação em Genética e Biologia Molecular, Laboratório de Genética Humana e Médica, Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
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50
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Rafii MS, Aisen PS. Detection and treatment of Alzheimer's disease in its preclinical stage. NATURE AGING 2023; 3:520-531. [PMID: 37202518 PMCID: PMC11110912 DOI: 10.1038/s43587-023-00410-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/29/2023] [Indexed: 05/20/2023]
Abstract
Longitudinal multimodal biomarker studies reveal that the continuum of Alzheimer's disease (AD) includes a long latent phase, referred to as preclinical AD, which precedes the onset of symptoms by decades. Treatment during the preclinical AD phase offers an optimal opportunity for slowing the progression of disease. However, trial design in this population is complex. In this Review, we discuss the recent advances in accurate plasma measurements, new recruitment approaches, sensitive cognitive instruments and self-reported outcomes that have facilitated the successful launch of multiple phase 3 trials for preclinical AD. The recent success of anti-amyloid immunotherapy trials in symptomatic AD has increased the enthusiasm for testing this strategy at the earliest feasible stage. We provide an outlook for standard screening of amyloid accumulation at the preclinical stage in clinically normal individuals, during which effective therapy to delay or prevent cognitive decline can be initiated.
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Affiliation(s)
- Michael S Rafii
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, Los Angeles, CA, USA.
| | - Paul S Aisen
- Alzheimer's Therapeutic Research Institute, Keck School of Medicine University of Southern California, Los Angeles, CA, USA
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