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- Volume 21, Issue 3, 2024
Current Alzheimer Research - Volume 21, Issue 3, 2024
Volume 21, Issue 3, 2024
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Artificial Intelligence in Eye Movements Analysis for Alzheimer’s Disease Early Diagnosis
As the world's population ages, Alzheimer's disease is currently the seventh most common cause of death globally; the burden is anticipated to increase, especially among middle-class and elderly persons. Artificial intelligence-based algorithms that work well in hospital environments can be used to identify Alzheimer's disease. A number of databases were searched for English-language articles published up until March 1, 2024, that examined the relationships between artificial intelligence techniques, eye movements, and Alzheimer's disease. A novel non-invasive method called eye movement analysis may be able to reflect cognitive processes and identify anomalies in Alzheimer's disease. Artificial intelligence, particularly deep learning, and machine learning, is required to enhance Alzheimer's disease detection using eye movement data. One sort of deep learning technique that shows promise is convolutional neural networks, which need further data for precise classification. Nonetheless, machine learning models showed a high degree of accuracy in this context. Artificial intelligence-driven eye movement analysis holds promise for enhancing clinical evaluations, enabling tailored treatment, and fostering the development of early and precise Alzheimer's disease diagnosis. A combination of artificial intelligence-based systems and eye movement analysis can provide a window for early and non-invasive diagnosis of Alzheimer's disease. Despite ongoing difficulties with early Alzheimer's disease detection, this presents a novel strategy that may have consequences for clinical evaluations and customized medication to improve early and accurate diagnosis.
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A Look at the Etiology of Alzheimer's Disease based on the Brain Ischemia Model
More LessAlzheimer's disease (AD) is the frequent form of dementia in the world. Despite over 100 years of research into the causes of AD, including amyloid and tau protein, the research has stalled and has not led to any conclusions. Moreover, numerous projects aimed at finding a cure for AD have also failed to achieve a breakthrough. Thus, the failure of anti-amyloid and anti-tau protein therapy to treat AD significantly influenced the way we began to think about the etiology of the disease. This situation prompted a group of researchers to focus on ischemic brain episodes, which, like AD, mostly present alterations in the hippocampus. In this context, it has been proposed that cerebral ischemic incidents may play a major role in promoting amyloid and tau protein in neurodegeneration in AD. In this review, we summarized the experimental and clinical research conducted over several years on the role of ischemic brain episodes in the development of AD. Studies have shown changes typical of AD in the course of brain neurodegeneration post-ischemia, i.e., progressive brain and hippocampal atrophy, increased amyloid production, and modification of tau protein. In the post-ischemic brain, the diffuse and senile amyloid plaques and the development of neurofibrillary tangles characteristic of AD were revealed. The above data evidently showed that after brain ischemia, there are modifications in protein folding, leading to massive neuronal death and damage to the neuronal network, which triggers dementia with the AD phenotype.
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ROCK Inhibitor Fasudil Attenuates Neuroinflammation and Associated Metabolic Dysregulation in the Tau Transgenic Mouse Model of Alzheimer’s Disease
BackgroundThe pathological manifestations of Alzheimer’s disease (AD) include not only brain amyloid β protein (Aβ) containing neuritic plaques and hyperphosphorylated tau (p-tau) containing neurofibrillary tangles but also microgliosis, astrocytosis, and neurodegeneration mediated by metabolic dysregulation and neuroinflammation.
MethodsWhile antibody-based therapies targeting Aβ have shown clinical promise, effective therapies targeting metabolism, neuroinflammation, and p-tau are still an urgent need. Based on the observation that Ras homolog (Rho)-associated kinases (ROCK) activities are elevated in AD, ROCK inhibitors have been explored as therapies in AD models. This study determines the effects of fasudil, a ROCK inhibitor, on neuroinflammation and metabolic regulation in the P301S tau transgenic mouse line PS19 that models neurodegenerative tauopathy and AD. Using daily intraperitoneal (i.p.) delivery of fasudil in PS19 mice, we observed a significant hippocampal-specific decrease of the levels of phosphorylated tau (pTau Ser202/Thr205), a decrease of GFAP+ cells and glycolytic enzyme Pkm1 in broad regions of the brain, and a decrease in mitochondrial complex IV subunit I in the striatum and thalamic regions.
ResultsAlthough no overt detrimental phenotype was observed, mice dosed with 100 mg/kg/day for 2 weeks exhibited significantly decreased mitochondrial outer membrane and electron transport chain (ETC) protein abundance, as well as ETC activities.
ConclusionOur results provide insights into dose-dependent neuroinflammatory and metabolic responses to fasudil and support further refinement of ROCK inhibitors for the treatment of AD.
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Associations of Multimorbidity with Cerebrospinal Fluid Biomarkers for Neurodegenerative Disorders in Early Parkinson's Disease: A Cross-sectional and Longitudinal Study
Authors: Ming-Zhan Zhang, Yan Sun, Yan-Ming Chen, Fan Guo, Pei-Yang Gao, Lan Tan and Meng-Shan TanObjectThe study aims to determine whether multimorbidity status is associated with cerebrospinal fluid (CSF) biomarkers for neurodegenerative disorders.
MethodsA total of 827 patients were enrolled from the Parkinson’s Progression Markers Initiative (PPMI) database, including 638 patients with early-stage Parkinson’s disease (PD) and 189 healthy controls (HCs). Multimorbidity status was evaluated based on the count of long-term conditions (LTCs) and the multimorbidity pattern. Using linear regression models, cross-sectional and longitudinal analyses were conducted to assess the associations of multimorbidity status with CSF biomarkers for neurodegenerative disorders, including α-synuclein (αSyn), amyloid-β42 (Aβ42), total tau (t-tau), phosphorylated tau (p-tau), glial fibrillary acidic protein (GFAP), and neurofilament light chain protein (NfL).
ResultsAt baseline, the CSF t-tau (p = 0.010), p-tau (p = 0.034), and NfL (p = 0.049) levels showed significant differences across the three categories of LTC counts. In the longitudinal analysis, the presence of LTCs was associated with lower Aβ42 (β < -0.001, p = 0.020), and higher t-tau (β = 0.007, p = 0.026), GFAP (β = 0.013, p = 0.022) and NfL (β = 0.020, p = 0.012); Participants with tumor/musculoskeletal/mental disorders showed higher CSF levels of t-tau (β = 0.016, p = 0.011) and p-tau (β = 0.032, p = 0.044) than those without multimorbidity.
ConclusionMultimorbidity, especially severe multimorbidity and the pattern of mental/musculoskeletal/tumor disorders, was associated with CSF biomarkers for neurodegenerative disorders in early-stage PD patients, suggesting that multimorbidity might play a crucial role in aggravating neuronal damage in neurodegenerative diseases.
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The Importance of Long-term Partner Observation in Cognitive Evaluation: A Very Early Creutzfeldt-Jakob Disease in a Patient with Mild Cognitive Impairment
Authors: Hatice Yuksel, Elif Bademci Eren, Baris Maldar and Ayse Pinar TitizBackgroundCreutzfeldt-Jakob disease (CJD) is a fatal degenerative brain disease characterized by rapidly progressive dementia. Sporadic CJD (sCJD) is the best-known and most common subtype. Because the disease is uncommon and has highly diverse presenting symptoms, early diagnosis is challenging. We herein report a case of probable sCJD diagnosed at a very early stage.
Case PresentationA 61-year-old female patient had mild attention and memory problems for a few months that were noticed by her husband but did not bother her and did not affect her daily life activities. The first brain magnetic resonance imaging (MRI) at another hospital was normal, lacking diffusion-weighted imaging (DWI). Although the newly taken brain MRI without DWI was normal, the patient's husband brought his patient to our outpatient clinic because he continued to think that there was a difference in his wife's attention and memory. A neurological examination of the patient revealed almost normal findings. The neuropsychiatric evaluation of the patient was consistent with mild cognitive impairment. The patient's electroencephalography taken upon admission had no characteristic findings for CJD but showed generalized epileptiform activity. Therefore, the patient was hospitalized, and a second brain MRI, including DWI sequences, was performed. DWI displayed bilateral asymmetrical typical patterns of restricted diffusion. Cerebrospinal fluid 14-3-3 was positive, and total-tau was highly elevated. She had a diagnosis of probable sCJD at an early stage. Later, the patient developed progressive dementia, ataxia, seizures, and extrapyramidal symptoms, followed by mutism, and died.
ConclusionAlthough there is no cure for CJD today, early diagnosis is essential, mainly because of its potential infectivity and for future planning. Diagnosing sCJD in its early stages is difficult. However, taking into account the observations of not only the patient's history but also their long-term partners in cognitive evaluations will be helpful in making an early and accurate diagnosis.
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Volumes & issues
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Volume 21 (2024)
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Volume 20 (2023)
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Volume 19 (2022)
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Volume 18 (2021)
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Volume 17 (2020)
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Volume 16 (2019)
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Volume 15 (2018)
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Volume 14 (2017)
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Volume 13 (2016)
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Volume 12 (2015)
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Volume 11 (2014)
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Volume 10 (2013)
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Volume 9 (2012)
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Volume 8 (2011)
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Volume 7 (2010)
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Volume 6 (2009)
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Volume 5 (2008)
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Volume 4 (2007)
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Volume 3 (2006)
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Volume 2 (2005)
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Volume 1 (2004)
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Cognitive Reserve in Aging
Authors: A. M. Tucker and Y. Stern
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