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Cognitive impairment biomarkers

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https://www.readbyqxmd.com/read/28808876/changes-of-cerebrospinal-fluid-a%C3%AE-42-t-tau-and-p-tau-in-parkinson-s-disease-patients-with-cognitive-impairment-relative-to-those-with-normal-cognition-a-meta-analysis
#1
Xiaohui Hu, Yan Yang, Daokai Gong
The cerebrospinal fluid (CSF) signature of reduced amyloid beta 1-42 (Aβ42), elevated total tau (t-tau), and phosphorylated tau181 (p-tau) is important for the early diagnosis of Alzheimer's disease (AD). Aβ42, t-tau, and p-tau have been reported in numerous studies to contribute to predicting cognitive impairment in Parkinson's disease (PDCI). However, no consistent conclusion can be drawn so far. Literatures regarding Aβ42, t-tau, and p-tau in CSF were systematically reviewed, and a meta-analysis was thus performed to evaluate the changes of these biomarkers in PDCI patients, including PD with mild cognitive impairment (PDMCI) and PD dementia (PDD) patients, relative to PD with normal cognition (PDNC) patients...
August 14, 2017: Neurological Sciences
https://www.readbyqxmd.com/read/28804233/effects-of-physical-activity-and-ginkgo-biloba-on-cognitive-function-and-oxidative-stress-modulation-in-ischemic-rats
#2
Ladan Vaghef, Hassan Bafandeh Gharamaleki
Either exercise or Ginkgo biloba is reported to improve cognitive functioning. The aim of this study is to compare the protective effects of forced exercise and Ginkgo biloba on oxidative stress as well as memory impairments induced by transient cerebral ischemia. Adult male Wistar rats were treated with treadmill running or Ginkgo biloba extract for 2 weeks before cerebral ischemia. Memory was assessed using a Morris water maze (MWM) task. At the end of the behavioral testing, oxidative stress biomarkers were evaluated in the hippocampus tissue...
September 2017: International Journal of Angiology: Official Publication of the International College of Angiology, Inc
https://www.readbyqxmd.com/read/28803382/cortical-afferent-inhibition-abnormalities-reveal-cholinergic-dysfunction-in-parkinson-s-disease-a-reappraisal
#3
REVIEW
Raffaele Nardone, Francesco Brigo, Viviana Versace, Yvonne Höller, Frediano Tezzon, Leopold Saltuari, Eugen Trinka, Luca Sebastianelli
Parkinson's disease (PD) is a multisystem neurodegenerative disorder affecting, besides the dopaminergic function, multiple neurotransmission systems, including the cholinergic system. Central cholinergic circuits of human brain can be tested non-invasively by coupling peripheral nerve stimulation with transcranial magnetic stimulation (TMS) of motor cortex; this test is named short latency afferent inhibition (SAI). SAI abnormalities have been reported in PD patients with gait disturbances and many non-motor symptoms, such as visual hallucinations (VHs), REM sleep behavior disorder (RBD), dysphagia, and olfactory impairment...
August 12, 2017: Journal of Neural Transmission
https://www.readbyqxmd.com/read/28802628/physical-activity-domains-and-cognitive-function-over-three-years-in-older-adults-with-subjective-memory-complaints-secondary-analysis-from-the-mapt-trial
#4
Philipe de Souto Barreto, Sandrine Andrieu, Yves Rolland, Bruno Vellas
OBJECTIVES: We aimed to examine the associations of physical activity (PA) domains (i.e., PA in leisure-time (LTPA), for housework (HPA), or for gardening (GPA)) with cognitive function in older adults with subjective memory complaints (no-dementia) and to investigate if those associations were dependent on the status of apolipoprotein E allele 4 (APOE4), omega-3 levels and mild cognitive impairment (MCI). DESIGN: Observational prospective secondary analysis using longitudinal data from a randomized controlled trial...
July 26, 2017: Journal of Science and Medicine in Sport
https://www.readbyqxmd.com/read/28799862/disrupted-topologic-efficiency-of-white-matter-structural-connectome-in-individuals-with-subjective-cognitive-decline
#5
Ni Shu, Xiaoni Wang, Qiuhui Bi, Tengda Zhao, Ying Han
Purpose To determine whether individuals with subjective cognitive decline (SCD), which is defined by memory complaints with normal performance at objective neuropsychologic examinations, exhibit disruptions of white matter (WM) connectivity and topologic alterations of the brain structural connectome. Materials and Methods Diffusion-tensor magnetic resonance imaging and graph theory approaches were used to investigate the topologic organization of the brain structural connectome in 36 participants with SCD (21 women: mean age, 62...
August 11, 2017: Radiology
https://www.readbyqxmd.com/read/28798686/strong-association-between-plasma-dipeptidyl-peptidase-4-activity-and-impaired-cognitive-function-in-elderly-population-with-normal-glucose-tolerance
#6
Bo Chen, Tianpeng Zheng, Linyuan Qin, Xueping Hu, Xiaoxi Zhang, Yihong Liu, Hongbo Liu, Shenghua Qin, Gang Li, Qinghua Li
Objective: Inflammation, oxidative stress, and decreased glucagon-like peptide-1 (GLP-1) are risk factors for cognitive impairment. Dipeptidyl peptidase-4 (DPP4) was identified as a novel adipokine capable of enhancing these risk factors. Hence, we investigated the relationship between plasma DPP4 activity and impaired cognitive function in elderly Chinese population with normal glucose tolerance (NGT). Methods: We performed a cross-sectional study using data from 1229 elderly participants (60 years or older) in Guilin...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28798225/ethical-issues-in-alzheimer-s-disease-research-involving-human-subjects
#7
Dena S Davis
As we aggressively pursue research to cure and prevent Alzheimer's disease, we encounter important ethical challenges. None of these challenges, if handled thoughtfully, would pose insurmountable barriers to research. But if they are ignored, they could slow the research process, alienate potential study subjects and do damage to research recruits and others. These challenges are (1) the necessity of very large cohorts of research subjects, recruited for lengthy studies, probably ending only in the subjects' death; (2) the creation of cohorts of 'study ready' volunteers, many of whom will be competent to consent at the beginning of the process, but move into cognitive impairment later; (3) reliance on adaptive trial design, creating challenges for informed consent, equipoise and justice; (4) the use of biomarkers and predictive tests that describe risk rather than certainty, and that can threaten participants' welfare if the information is obtained by insurance companies or long-term care providers; (5) the use of study partners that creates unique risks of harm to the relationship of subject and study partner...
August 10, 2017: Journal of Medical Ethics
https://www.readbyqxmd.com/read/28790908/multi-kernel-learning-with-dartel-improves-combined-mri-pet-classification-of-alzheimer-s-disease-in-aibl-data-group-and-individual-analyses
#8
Vahab Youssofzadeh, Bernadette McGuinness, Liam P Maguire, KongFatt Wong-Lin
Magnetic resonance imaging (MRI) and positron emission tomography (PET) are neuroimaging modalities typically used for evaluating brain changes in Alzheimer's disease (AD). Due to their complementary nature, their combination can provide more accurate AD diagnosis or prognosis. In this work, we apply a multi-modal imaging machine-learning framework to enhance AD classification and prediction of diagnosis of subject-matched gray matter MRI and Pittsburgh compound B (PiB)-PET data related to 58 AD, 108 mild cognitive impairment (MCI) and 120 healthy elderly (HE) subjects from the Australian imaging, biomarkers and lifestyle (AIBL) dataset...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28781202/biomarkers-for-cognitive-dysfunction-in-parkinson-s-disease
#9
Lorraine V Kalia
INTRODUCTION: Cognitive dysfunction is among the most prevalent and debilitating non-motor features of Parkinson's disease (PD). The neuropathological correlates of cognitive dysfunction in PD are being revealed by clinicopathological correlation studies. These findings are fostering the development of candidate biomarkers to facilitate diagnosis of cognitive impairment and dementia, and to predict cognitive decline and onset of dementia in PD. METHODS: A literature review of candidate biomarkers for cognitive dysfunction in PD was performed based on a PubMed search for peer-reviewed articles published from 1997 to June 2017 using the search terms "biomarker", "parkinson", and "dementia"...
July 24, 2017: Parkinsonism & related Disorders
https://www.readbyqxmd.com/read/28777749/baseline-telomere-length-and-effects-of-a%C3%A2-multidomain-lifestyle-intervention-on-cognition-the-finger-randomized-controlled-trial
#10
Shireen Sindi, Tiia Ngandu, Iiris Hovatta, Ingemar Kåreholt, Riitta Antikainen, Tuomo Hänninen, Esko Levälahti, Tiina Laatikainen, Jaana Lindström, Teemu Paajanen, Markku Peltonen, Dharma Singh Khalsa, Benjamin Wolozin, Timo Strandberg, Jaakko Tuomilehto, Hilkka Soininen, Miia Kivipelto, Alina Solomon
Leukocyte telomere length (LTL) is a biomarker of aging, and it is associated with lifestyle. It is currently unknown whether LTL is associated with the response to lifestyle interventions. The goal is to assess whether baseline LTL modified the cognitive benefits of a 2-year multidomain lifestyle intervention (exploratory analyses). The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) was a 2-year randomized controlled trial including 1,260 people at risk of cognitive decline, aged 60-77 years identified from the general population...
July 29, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28777748/fully-automatic-mri-based-hippocampus-volumetry-using-fsl-first-intra-scanner-test-retest-stability-inter-field-strength-variability-and-performance-as-enrichment-biomarker-for-clinical-trials-using-prodromal-target-populations-at-risk-for-alzheimer-s-disease
#11
Enrica Cavedo, Per Suppa, Catharina Lange, Roland Opfer, Simone Lista, Samantha Galluzzi, Adam J Schwarz, Lothar Spies, Ralph Buchert, Harald Hampel
BACKGROUND: MRI-based hippocampus volume is a core clinical biomarker for identification of Alzheimer's disease (AD). OBJECTIVE: To assess robustness of automatic hippocampus volumetry with the freely available FSL-FIRST software with respect to short-term repeat and across field strength imaging. FSL-FIRST hippocampus volume (FIRST-HV) was also evaluated as enrichment biomarker for mild cognitive impairment (MCI) trials. METHODS: Robustness of FIRST-HV was assessed in 51 healthy controls (HC), 74 MCI subjects, and 28 patients with AD dementia from ADNI1, each with two pairs of back-to-back scans, one at 1...
July 29, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28776265/traumatic-brain-injury-alters-the-metabolism-and-facilitates-alzheimer-s-disease-in-a-murine-model
#12
Dandan Lou, Yao Du, Daochao Huang, Fang Cai, Yun Zhang, Tinyu Li, Weihui Zhou, Hongchang Gao, Weihong Song
A majority of Alzheimer's disease (AD) cases are sporadic without known cause. People who suffered from traumatic brain injury (TBI) are more likely to develop neurodegeneration and cognitive impairments. However, the role of TBI in pathophysiology of AD remains elusive. The present study intended to explore the effect of TBI on metabolism and its role in AD pathogenesis. We subjected double transgenic AD model mice APP23/PS45 to TBI. We found that TBI promoted β-secretase cleavage of amyloid β precursor protein and amyloid β protein deposition, and exuberated the cognitive impairments in AD mouse models...
August 3, 2017: Molecular Neurobiology
https://www.readbyqxmd.com/read/28768598/mismatch-negativity-in-preclinical-models-of-schizophrenia
#13
Robert E Featherstone, Olya Melnychenko, Steven J Siegel
Schizophrenia is a mental disorder associated with profoundly disruptive positive and negative symptomology that result in difficulties building close relationships with others, performing daily tasks and sustaining independent living, resulting in poor social, vocational and occupational attainment (functional outcome). Mismatch Negativity (MMN) is a change in the sensory event-related potential that occurs in response to deviation from an established pattern of stimulation. Patients with schizophrenia show a reduction in MMN that is positively associated with impaired cognition and poor functional outcome...
July 30, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28765056/predicting-brain-age-with-deep-learning-from-raw-imaging-data-results-in-a-reliable-and-heritable-biomarker
#14
James H Cole, Rudra P K Poudel, Dimosthenis Tsagkrasoulis, Matthan W A Caan, Claire Steves, Tim D Spector, Giovanni Montana
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the credentials of 'brain-predicted age' as a biomarker of individual differences in the brain ageing process, using a predictive modelling approach based on deep learning, and specifically convolutional neural networks (CNN), and applied to both pre-processed and raw T1-weighted MRI data...
July 29, 2017: NeuroImage
https://www.readbyqxmd.com/read/28758146/effects-of-traumatic-brain-injury-and-posttraumatic-stress-disorder-on-development-of-alzheimer-s-disease-in-vietnam-veterans-using-the-alzheimer-s-disease-neuroimaging-initiative-preliminary-report
#15
Michael W Weiner, Danielle Harvey, Jacqueline Hayes, Susan M Landau, Paul S Aisen, Ronald C Petersen, Duygu Tosun, Dallas P Veitch, Clifford R Jack, Charles Decarli, Andrew J Saykin, Jordan Grafman, Thomas C Neylanthe
INTRODUCTION: Traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) have previously been reported to be associated with increased risk of Alzheimer's disease (AD). We are using biomarkers to study Vietnam Veterans with/without mild cognitive impairment with a history of at least one TBI and/or ongoing PTSD to determine whether these contribute to the development of AD. METHODS: Potential subjects identified by Veterans Administration records underwent an initial telephone screen...
June 2017: Alzheimer's & Dementia: Translational Research & Clinical Interventions
https://www.readbyqxmd.com/read/28756942/identifying-incipient-dementia-individuals-using-machine-learning-and-amyloid-imaging
#16
Sulantha Mathotaarachchi, Tharick A Pascoal, Monica Shin, Andrea L Benedet, Min Su Kang, Thomas Beaudry, Vladimir S Fonov, Serge Gauthier, Pedro Rosa-Neto
Identifying individuals destined to develop Alzheimer's dementia within time frames acceptable for clinical trials constitutes an important challenge to design studies to test emerging disease-modifying therapies. Although amyloid-β protein is the core pathologic feature of Alzheimer's disease, biomarkers of neuronal degeneration are the only ones believed to provide satisfactory predictions of clinical progression within short time frames. Here, we propose a machine learning-based probabilistic method designed to assess the progression to dementia within 24 months, based on the regional information from a single amyloid positron emission tomography scan...
July 11, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28755648/cerebral-pet-glucose-hypometabolism-in-subjects-with-mild-cognitive-impairment-and-higher-eeg-high-alpha-low-alpha-frequency-power-ratio
#17
Davide Vito Moretti, Michela Pievani, Lorenzo Pini, Ugo Paolo Guerra, Barbara Paghera, Giovanni Battista Frisoni
In Alzheimer's disease (AD) research, both 2-deoxy-2-((18)F)fluoro-D-glucose (FDG) positron emission tomography (PET) and electroencephalography (EEG) are reliable investigational modalities. The aim of this study was to investigate the associations between EEG High-alpha/Low-alpha (H-alpha/L-alpha) power ratio and cortical glucose metabolism. A total of 23 subjects with mild cognitive impairment (MCI) underwent FDG-PET and EEG examinations. H-alpha/L-alpha power ratio was computed for each subject and 2 groups were obtained based on the increase of the power ratio...
June 24, 2017: Neurobiology of Aging
https://www.readbyqxmd.com/read/28755273/cognitive-impairment-and-brain-and-peripheral-alterations-in-a-murine-model-of-intraventricular-hemorrhage-in-the-preterm-newborn
#18
Antonio Segado-Arenas, Carmen Infante-Garcia, Isabel Benavente-Fernandez, Daniel Sanchez-Sotano, Juan Jose Ramos-Rodriguez, Almudena Alonso-Ojembarrena, Simon Lubian-Lopez, Monica Garcia-Alloza
Germinal matrix hemorrhage-intraventricular hemorrhage (GMH-IVH) remains a serious complication in the preterm newborn. The significant increase of survival rates in extremelye preterm newborns has also contributed to increase the absolute number of patients developing GMH-IVH. However, there are relatively few available animal models to understand the underlying mechanisms and peripheral markers or prognostic tools. In order to further characterize central complications and evolution of GMH-IVH, we injected collagenase intraventricularly to P7 CD1 mice and assessed them in the short (P14) and the long term (P70)...
July 28, 2017: Molecular Neurobiology
https://www.readbyqxmd.com/read/28755001/identification-of-clusters-of-rapid-and-slow-decliners-among-subjects-at-risk-for-alzheimer-s-disease
#19
Dragan Gamberger, Nada Lavrač, Shantanu Srivatsa, Rudolph E Tanzi, P Murali Doraiswamy
The heterogeneity of Alzheimer's disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. The algorithm identified homogenous clusters of MCI subjects with markedly different prognostic cognitive trajectories. A cluster of 240 rapid decliners had 2-fold greater atrophy and progressed to dementia at almost 5 times the rate of a cluster of 184 slow decliners...
July 28, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28753016/high-throughput-metabolomics-for-discovering-potential-metabolite-biomarkers-and-metabolic-mechanism-from-the-appswe-ps1de9-transgenic-model-of-alzheimer-s-disease
#20
Jingbo Yu, Ling Kong, Aihua Zhang, Ying Han, Zhidong Liu, Hui Sun, Liang Liu, Xijun Wang
Alzheimer's disease (AD), a neurodegenerative disorder, is the major form of dementia. As AD is an irreversible disease, it is necessary to focus on earlier intervention. However, the potential biomarkers of preclinical AD are still not clear. In this study, urinary metabolomics based on ultra-high-performance liquid chromatography coupled with quadruple time-of-flight mass spectrometry was performed for delineating the metabolic changes and potential early biomarkers in APPswe/PS1dE9 (APP/PS1) transgenic mice...
August 16, 2017: Journal of Proteome Research
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