scholarly journals Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia

2020 ◽  
Vol 10 (2) ◽  
pp. 34 ◽  
Author(s):  
Paolo Maria Rossini ◽  
Francesca Miraglia ◽  
Francesca Alù ◽  
Maria Cotelli ◽  
Florinda Ferreri ◽  
...  
Keyword(s):  
Brain Aging ◽  
Brain Connectivity ◽  
Intermediate Stage ◽  
Synaptic Function ◽  
General Interest ◽  
Aging Brain ◽  
Healthy Population ◽  
Normal Brain ◽  
Non Invasive ◽  
Learning Machine

Neurodegenerative processes of various types of dementia start years before symptoms, but the presence of a “neural reserve”, which continuously feeds and supports neuroplastic mechanisms, helps the aging brain to preserve most of its functions within the “normality” frame. Mild cognitive impairment (MCI) is an intermediate stage between dementia and normal brain aging. About 50% of MCI subjects are already in a stage that is prodromal-to-dementia and during the following 3 to 5 years will develop clinically evident symptoms, while the other 50% remains at MCI or returns to normal. If the risk factors favoring degenerative mechanisms are modified during early stages (i.e., in the prodromal), the degenerative process and the loss of abilities in daily living activities will be delayed. It is therefore extremely important to have biomarkers able to identify—in association with neuropsychological tests—prodromal-to-dementia MCI subjects as early as possible. MCI is a large (i.e., several million in EU) and substantially healthy population; therefore, biomarkers should be financially affordable, largely available and non-invasive, but still accurate in their diagnostic prediction. Neurodegeneration initially affects synaptic transmission and brain connectivity; methods exploring them would represent a 1st line screening. Neurophysiological techniques able to evaluate mechanisms of synaptic function and brain connectivity are attracting general interest and are described here. Results are quite encouraging and suggest that by the application of artificial intelligence (i.e., learning-machine), neurophysiological techniques represent valid biomarkers for screening campaigns of the MCI population.

scholarly journals A fiber-deprived diet causes cognitive impairment and hippocampal microglia-mediated synaptic loss through the gut microbiota and metabolites

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Hongli Shi ◽  
Xing Ge ◽  
Xi Ma ◽  
Mingxuan Zheng ◽  
Xiaoying Cui ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Gut Microbiota ◽  
Neurodegenerative Diseases ◽  
Dietary Fiber ◽  
Brain Aging ◽  
Synaptic Proteins ◽  
Aging Brain ◽  
Normal Brain ◽  
Fiber Intake ◽  
Synaptic Ultrastructure

Abstract Background Cognitive impairment, an increasing mental health issue, is a core feature of the aging brain and neurodegenerative diseases. Industrialized nations especially, have experienced a marked decrease in dietary fiber intake, but the potential mechanism linking low fiber intake and cognitive impairment is poorly understood. Emerging research reported that the diversity of gut microbiota in Western populations is significantly reduced. However, it is unknown whether a fiber-deficient diet (which alters gut microbiota) could impair cognition and brain functional elements through the gut-brain axis. Results In this study, a mouse model of long-term (15 weeks) dietary fiber deficiency (FD) was used to mimic a sustained low fiber intake in humans. We found that FD mice showed impaired cognition, including deficits in object location memory, temporal order memory, and the ability to perform daily living activities. The hippocampal synaptic ultrastructure was damaged in FD mice, characterized by widened synaptic clefts and thinned postsynaptic densities. A hippocampal proteomic analysis further identified a deficit of CaMKIId and its associated synaptic proteins (including GAP43 and SV2C) in the FD mice, along with neuroinflammation and microglial engulfment of synapses. The FD mice also exhibited gut microbiota dysbiosis (decreased Bacteroidetes and increased Proteobacteria), which was significantly associated with the cognitive deficits. Of note, a rapid differentiating microbiota change was observed in the mice with a short-term FD diet (7 days) before cognitive impairment, highlighting a possible causal impact of the gut microbiota profile on cognitive outcomes. Moreover, the FD diet compromised the intestinal barrier and reduced short-chain fatty acid (SCFA) production. We exploit these findings for SCFA receptor knockout mice and oral SCFA supplementation that verified SCFA playing a critical role linking the altered gut microbiota and cognitive impairment. Conclusions This study, for the first time, reports that a fiber-deprived diet leads to cognitive impairment through altering the gut microbiota-hippocampal axis, which is pathologically distinct from normal brain aging. These findings alert the adverse impact of dietary fiber deficiency on brain function, and highlight an increase in fiber intake as a nutritional strategy to reduce the risk of developing diet-associated cognitive decline and neurodegenerative diseases.

scholarly journals Transcriptomic Changes Highly Similar to Alzheimer’s Disease Are Observed in a Subpopulation of Individuals During Normal Brain Aging

2021 ◽  
Vol 13 ◽  
Author(s):  
Shouneng Peng ◽  
Lu Zeng ◽  
Jean-Vianney Haure-Mirande ◽  
Minghui Wang ◽  
Derek M. Huffman ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Healthy Aging ◽  
Brain Aging ◽  
Normal Aging ◽  
Aging Brain ◽  
Normal Brain ◽  
Older Individuals ◽  
Cognitively Normal

Aging is a major risk factor for late-onset Alzheimer’s disease (LOAD). How aging contributes to the development of LOAD remains elusive. In this study, we examined multiple large-scale transcriptomic datasets from both normal aging and LOAD brains to understand the molecular interconnection between aging and LOAD. We found that shared gene expression changes between aging and LOAD are mostly seen in the hippocampal and several cortical regions. In the hippocampus, the expression of phosphoprotein, alternative splicing and cytoskeleton genes are commonly changed in both aging and AD, while synapse, ion transport, and synaptic vesicle genes are commonly down-regulated. Aging-specific changes are associated with acetylation and methylation, while LOAD-specific changes are more related to glycoprotein (both up- and down-regulations), inflammatory response (up-regulation), myelin sheath and lipoprotein (down-regulation). We also found that normal aging brain transcriptomes from relatively young donors (45–70 years old) clustered into several subgroups and some subgroups showed gene expression changes highly similar to those seen in LOAD brains. Using brain transcriptomic datasets from another cohort of older individuals (>70 years), we found that samples from cognitively normal older individuals clustered with the “healthy aging” subgroup while AD samples mainly clustered with the “AD similar” subgroups. This may imply that individuals in the healthy aging subgroup will likely remain cognitively normal when they become older and vice versa. In summary, our results suggest that on the transcriptome level, aging and LOAD have strong interconnections in some brain regions in a subpopulation of cognitively normal aging individuals. This supports the theory that the initiation of LOAD occurs decades earlier than the manifestation of clinical phenotype and it may be essential to closely study the “normal brain aging” to identify the very early molecular events that may lead to LOAD development.

scholarly journals Control of mammalian brain aging by the unfolded protein response (UPR)

2020 ◽  
Author(s):  
Felipe Cabral-Miranda ◽  
Giovani Tamburini ◽  
Gabriela Martinez ◽  
Danilo Medinas ◽  
Yannis Gerakis ◽  
...  
Keyword(s):  
Er Stress ◽  
Unfolded Protein Response ◽  
Brain Aging ◽  
Active Form ◽  
Synaptic Function ◽  
Mammalian Brain ◽  
Aging Brain ◽  
Unfolded Protein ◽  
The Unfolded Protein Response ◽  
Protein Response

AbstractAging is the major risk factor for the development of dementia and neurodegenerative disorders, and the aging brain manifests severe deficits in buffering capacity by the proteostasis network. Accordingly, we investigated the significance of the unfolded protein response (UPR), a major signaling pathway that copes with endoplasmic reticulum (ER) stress, to normal mammalian brain aging. Genetic disruption of ER stress sensor IRE1α accelerated cognitive and motor dysfunction during aging. Exogenous bolstering of the UPR by overexpressing an active form of the transcription factor XBP1 restored synaptic and cognitive function in addition to reducing cell senescence. Remarkably, proteomic profiling of hippocampal tissue indicated that XBP1s expression corrected age-related alterations in synaptic function. Collectively, our data demonstrate that strategies to manipulate the UPR sustain healthy brain aging.One Sentence SummaryThe IRE1/XBP1 pathway dictates when and how brain function declines during aging.

scholarly journals Oligodendrocytes in the Aging Brain

2021 ◽  
Author(s):  
Eleanor Sams
Keyword(s):  
White Matter ◽  
Brain Volume ◽  
Brain Aging ◽  
Aging Brain ◽  
Neural Cells ◽  
Normal Brain ◽  
White Matter Volume ◽  
Aging Mechanisms ◽  
Extracellular Environment ◽  
Brain Homeostasis

More than half of the human brain volume is made up of white matter: regions where axons are coated in myelin, which primarily functions to increase the conduction speed of axon potentials. White matter volume significantly decreases with age, correlating with cognitive decline. Much research in the field of non-pathological brain aging mechanisms has taken a neuron-centric approach, with relatively little attention paid to other neural cells. This review discusses white matter changes, with focus on oligodendrocyte lineage cells and their ability to produce and maintain myelin to support normal brain homeostasis. Improved understanding of intrinsic cellular changes, general senescence mechanisms, intercellular interactions and alterations in extracellular environment which occur with aging and impact oligodendrocyte cells is paramount. This may lead to strategies to support oligodendrocytes in aging, for example by supporting myelin synthesis, protecting against oxidative stress and promoting the rejuvenation of the intrinsic regenerative potential of progenitor cells. Ultimately, this will enable the protection of white matter integrity thus protecting cognitive function into the later years of life.

scholarly journals Chromosome Instability, Aging and Brain Diseases

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1256
Author(s):  
Ivan Y. Iourov ◽  
Yuri B. Yurov ◽  
Svetlana G. Vorsanova ◽  
Sergei I. Kutsev
Keyword(s):  
Brain Aging ◽  
Chromosome Instability ◽  
Neuronal Cell Death ◽  
Neuronal Cell ◽  
Accelerated Aging ◽  
Brain Diseases ◽  
Aging Brain ◽  
Ontogenetic Changes ◽  
Health And Disease

Chromosome instability (CIN) has been repeatedly associated with aging and progeroid phenotypes. Moreover, brain-specific CIN seems to be an important element of pathogenic cascades leading to neurodegeneration in late adulthood. Alternatively, CIN and aneuploidy (chromosomal loss/gain) syndromes exhibit accelerated aging phenotypes. Molecularly, cellular senescence, which seems to be mediated by CIN and aneuploidy, is likely to contribute to brain aging in health and disease. However, there is no consensus about the occurrence of CIN in the aging brain. As a result, the role of CIN/somatic aneuploidy in normal and pathological brain aging is a matter of debate. Still, taking into account the effects of CIN on cellular homeostasis, the possibility of involvement in brain aging is highly likely. More importantly, the CIN contribution to neuronal cell death may be responsible for neurodegeneration and the aging-related deterioration of the brain. The loss of CIN-affected neurons probably underlies the contradiction between reports addressing ontogenetic changes of karyotypes within the aged brain. In future studies, the combination of single-cell visualization and whole-genome techniques with systems biology methods would certainly define the intrinsic role of CIN in the aging of the normal and diseased brain.

scholarly journals Contribution of TMS and TMS-EEG to the Understanding of Mechanisms Underlying Physiological Brain Aging

2021 ◽  
Vol 11 (3) ◽  
pp. 405
Author(s):  
Andrea Guerra ◽  
Lorenzo Rocchi ◽  
Alberto Grego ◽  
Francesca Berardi ◽  
Concetta Luisi ◽  
...  
Keyword(s):  
Evoked Potentials ◽  
Brain Aging ◽  
Cortical Excitability ◽  
Motor Evoked Potentials ◽  
Neurological Diseases ◽  
Physiological Activity ◽  
Neuronal Loss ◽  
Normal Brain ◽  
Potential Contribution ◽  
Brain Degeneration

In the human brain, aging is characterized by progressive neuronal loss, leading to disruption of synapses and to a degree of failure in neurotransmission. However, there is increasing evidence to support the notion that the aged brain has a remarkable ability to reorganize itself, with the aim of preserving its physiological activity. It is important to develop objective markers able to characterize the biological processes underlying brain aging in the intact human, and to distinguish them from brain degeneration associated with many neurological diseases. Transcranial magnetic stimulation (TMS), coupled with electromyography or electroencephalography (EEG), is particularly suited to this aim, due to the functional nature of the information provided, and thanks to the ease with which it can be integrated with behavioral manipulation. In this review, we aimed to provide up to date information about the role of TMS and TMS-EEG in the investigation of brain aging. In particular, we focused on data about cortical excitability, connectivity and plasticity, obtained by using readouts such as motor evoked potentials and transcranial evoked potentials. Overall, findings in the literature support an important potential contribution of TMS to the understanding of the mechanisms underlying normal brain aging. Further studies are needed to expand the current body of information and to assess the applicability of TMS findings in the clinical setting.

PET imaging of neural activity, β-amyloid, and tau in normal brain aging

2021 ◽  
Author(s):  
Kai Zhang ◽  
Hiroshi Mizuma ◽  
Xiaohui Zhang ◽  
Kayo Takahashi ◽  
Chentao Jin ◽  
...  
Keyword(s):  
Pet Imaging ◽  
Neural Activity ◽  
Brain Aging ◽  
Normal Brain ◽  
Β Amyloid

Aging Brain, Aging Mind

1992 ◽  
Vol 267 (3) ◽  
pp. 134-142 ◽  
Author(s):  
Dennis J. Selkoe
Keyword(s):  
Brain Aging ◽  
Aging Brain

scholarly journals A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Masahiro Yamashita ◽  
Yujiro Yoshihara ◽  
Ryuichiro Hashimoto ◽  
Noriaki Yahata ◽  
Naho Ichikawa ◽  
...  
Keyword(s):  
Working Memory ◽  
Brain Connectivity ◽  
Neural Mechanism ◽  
Quantitative Model ◽  
Psychiatric Disease ◽  
Healthy Population ◽  
Psychiatric Diseases ◽  
Whole Brain ◽  
Memory Ability ◽  
Neuropsychiatric Diseases

Working memory deficits are present in many neuropsychiatric diseases with diagnosis-related severity. However, it is unknown whether this common behavioral abnormality is a continuum explained by a neural mechanism shared across diseases or a set of discrete dysfunctions. Here, we performed predictive modeling to examine working memory ability (WMA) as a function of normative whole-brain connectivity across psychiatric diseases. We built a quantitative model for letter three-back task performance in healthy participants, using resting state functional magnetic resonance imaging (rs-fMRI). This normative model was applied to independent participants (N = 965) including four psychiatric diagnoses. Individual’s predicted WMA significantly correlated with a measured WMA in both healthy population and schizophrenia. Our predicted effect size estimates on WMA impairment were comparable to previous meta-analysis results. These results suggest a general association between brain connectivity and working memory ability applicable commonly to health and psychiatric diseases.

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