Circulating Exosomal miRNA as a Biomarker for Age-Related Cognitive Decline and Decreased Hippocampal Volume
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE97644 | GEO | 2017/10/11
SECONDARY ACCESSION(S): PRJNA382547
REPOSITORIES: GEO
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Project description:We test the idea that peripheral cellular senescence is a major driver of age-related cognitive impairment, such that treatment with the brain impermeable senolytic, ABT-263, can preserve cognition and markers of brain aging thought to underlie cognitive decline. Male F344 rats were treated from 12-18 months of age with quercetin + dasatinib or ABT-263 or vehicle and were compared to young (6 month). Senolytic treatments had similar effects in decreasing peripheral markers of senescence and the senescence-associated secretory phenotype (SASP), including plasma levels of several cytokines, rescued memory and hippocampal synaptic transmission, and decreased expression of immune response genes in the dentate gyrus (DG). Across senolytic treatment groups, differential DG gene expression was observed for cellular senescence and pathways linked to senescence, including negative regulation of cell death, ribosomes, and microglial activation consistent with differential access of dasatinib and ABT-263 to the brain. Finally, both senolytic treatments preserved the blood-brain barrier suggesting that leakage of clinically significant amounts of ABT-263 into the brain is unlikely. The results indicate that preserved cognition was due to removal of peripheral senescent cells, decreasing systemic inflammation that normally drives neuroinflammation, BBB breakdown, and impaired synaptic function.
2023-06-07 | GSE220971 | GEO
Project description:While some individuals age without pathological memory impairments, others develop age-associated cognitive diseases. Since changes in cognitive function develop slowly over time in these patients, they are often diagnosed at an advanced stage of molecular pathology, a time point when causative treatments fail. Thus, there is great need for the identification of inexpensive and minimal invasive approaches that could be used for screening with the aim to to identify individuals at risk for cognitive decline that can then undergo further diagnostics and eventually stratified therapies. In this study we use an integrative approach combining the analysis of human data and mechanistic studies in model systems to identify a circulating 3-microRNA signature that reflect key processes linked to neural homeostasis and informs about cognitive status. We furthermore provide evidence that expression changes of this signature represent multiple mechanisms de-regulated in the aging and diseased brain and are a suitable target for RNA therapeutics.
| EGAS00001005627 | EGA
Project description:Recent microarray studies in the hippocampus of rodents or Alzheimerâs disease (AD) subjects have identified a substantial number of cellular pathways/processes correlated with aging and cognitive decline. However, the temporal relationships among these expression changes or with cognitive impairment have not been studied in depth. Here, using Affymetrix microarrays, immunohistochemistry and Morris water maze cognitive testing across 5 age groups of male F344 rats (n=9-15/group, one microarray per animal), we systematically analyzed the temporal sequence and cellular localization of aging changes in expression. These were correlated with performance scores on the hippocampus-dependent Morris Water Maze task. Significant microarray results were sorted in to Early, Intermediate, Midlife, and Late patterns of expression, and functionally categorized (Early- downregulated neural development, lipid synthesis and energy-utilization; upregulated ribosomal synthesis, growth, stress/inflammatory, lysosome and protein/lipid degradation. Intermediate- increased defense/inflammatory activation and decreased transporter activity; Midlife- downregulated energy-dependent signaling and neurite growth, upregulated astroglial activation, Ca2+-binding, cholesterol/lipid trafficking, myelinogenic processes and additional lysosome/inflammation; Late- further recruitment of genes in already-altered pathways). Immunohistochemistry revealed a primarily astrocytic localization of the processes upregulated in midlife, as well as increased density of myelin proteins. Evidence of cognitive impairment first appeared in the 12-month-old group (midlife) and was increased further in the 23-month-old group, exhibiting the highest correlations with some upregulated genes related to cholesterol transport (e.g., Apoe, Abca2), protein management and ion binding. Some upregulated genes for inflammation (Il6st) and myelinogenesis (Pmp22) also correlated with impairment. Together, the data are consistent with a novel sequential cascade model of brain aging in which metabolic alterations early in maturity are followed by inflammation and midlife activation of an astrocyte-centered cholesterol trafficking pathway that stimulates oligodendrocyte remyelination programs. Importantly, this cholesterol trafficking pathway also may compete for astroglial bioenergetic support of neurons, in turn, leading to downregulation of energy-dependent pathways needed to sustain cognitive functions. Experiment Overall Design: Fisher 344 rats aged 3 (n = 9), 6 (n = 9), 9 (n = 9), 12 (n = 9), or 25 (n = 15; but see below) months were behaviorally characterized on the Morris water maze. Briefly, animals were placed in a circular water bath chamber with a partially submerged platform. Three times per day for three days, animals were placed at randomized starting points with the goal of locating the hidden platform. Generally, animals became better at locating the platform, and by the third day of training, were reliably swimming directly to the platform despite randomized starting loci. On the fourth day, the platform was removed and the degree to which the animals focused their searches on the area that previously contained the platform was measured. On the last day of behavior, animals were given a cue trial in which the platform was raised above the water level so that the rats could see it. Measures taken from the behavior study included path length (how long did the animal swim prior to locating the platform/ platform area), latency to platform in seconds, and velocity (centimeters/ second; swim speed). Two aged animals (E2 and E12) were removed from the study for poor health, reducing the 23 month cohort (n = 13). Twelve to twenty four hours after the last behavioral session, animals were killed and their hippocampi removed. The right hippocampus went to immunohistochemistry for quantification and localization of selected protein products. The left hippocampus was dissected, the CA1 region removed and frozen in dry ice prior to microarray processing. mRNA was extracted from each animal's tissue by standard Affymetrix protocols (see Blalock et al., 2003) and hybridized to individual microarrays (RAE 230A; N = 49 arrays in total). Results were processed with the MAS5 algorithm and subjected to âall probe setâ scaling with a target intensity of 500. Probe sets were filtered for presence (> = 5 presence calls study wide) and gene symbol level annotation prior to statistical analysis. 1-ANOVA across age was used to identify aging-related probe sets/genes (p <= 0.05). Aging-related genes were subjected to post hoc template correlation to determine the pattern of age-related change, and further, within the 12 and 23 month old groups, Pearson's correlation with behavioral scores was used to identify genes whose expression levels correlated significantly (p <= 0.05) with behavior. Twelve and 23 month old groups were chosen for this correlation analysis as they showed the greatest variability among similarly aged animals, suggesting that these ages show important cognitive transition phases during aging-related cognitive decline. Functional grouping analysis was performed using the DAVID suite of on-line tools.
2009-01-25 | E-GEOD-9990 | biostudies-arrayexpress
Project description:Background: Age-related cognitive deficits negatively affect quality of life and can presage serious neurodegenerative disorders. Despite sleep disruption’s well-recognized negative influence on cognition, and its prevalence with age, surprisingly few studies have tested sleep’s relationship to cognitive aging. Methodology: We measured sleep stages in young adult and aged F344 rats during inactive (enhanced sleep) and active (enhanced wake) periods. Animals were behaviorally characterized on the Morris water maze and gene expression profiles of their parietal cortices were taken. Principal Findings: Water maze performance was impaired, and inactive period deep sleep was decreased with age. However, increased deep sleep during the active period was most strongly correlated to maze performance. Transcriptional profiles were strongly associated with behavior and age, and were validated against prior studies. Bioinformatic analysis revealed increased translation and decreased myelin/ neuronal pathways. Conclusions: The F344 rat appears to serve as a reasonable model for some common sleep architecture and cognitive changes seen with age in humans, including the cognitively disrupting influence of active period deep sleep. Microarray analysis suggests that the processes engaged by this sleep are consistent with its function. Thus, active period deep sleep appears temporally misaligned but mechanistically intact, leading to the following: first, aged brain tissue appears capable of generating the slow waves necessary for deep sleep, albeit at a weaker intensity than in young. Second, this activity, presented during the active period, seems disruptive rather than beneficial to cognition. Third, this active period deep sleep may be a cognitively pathologic attempt to recover age-related loss of inactive period deep sleep. Finally, therapeutic strategies aimed at reducing active period deep sleep (e.g., by promoting active period wakefulness and/or inactive period deep sleep) may be highly relevant to cognitive function in the aging community. KEYWORDS: frontal cortex, rat, young or aged We implanted young and aged Fischer 344 rats (n = 6/ group) with wireless EEG, EMG and movement monitoring devices to measure sleep architecture. Animals were trained in the Morris water maze to assess cognitive function, and frontal cortices were removed for microarray analysis.sleep disruption and cognitive decline.
2011-04-21 | E-GEOD-24515 | biostudies-arrayexpress
Project description:Aging is the predominant risk factor for neurodegenerative diseases. One key phenotype as brain ages is the aberrant innate immune response characterized by proinflammation. However, the molecular mechanisms underlying aging-associated proinflammation are poorly defined. Whether chronic inflammation plays a causal role in cognitive decline in aging and neurodegeneration has not been established. Here we established a mechanistic link between chronic inflammation and aging microglia, and demonstrated a causal role of aging microglia in neurodegenerative cognitive deficits. Expression of microglial SIRT1 reduces with the aging of microglia. Genetic reduction of microglial SIRT1 elevates IL-1β selectively, and exacerbates cognitive deficits in aging and in transgenic mouse models of frontotemporal dementia (FTD). Interestingly, the selective activation of IL-1β transcription by SIRT1 deficiency is likely mediated through hypomethylating the proximal promoter of IL-1β. Consistent with our findings in mice, selective hypomethylation of IL-1β at two CpG sites are found in normal aging humans and demented patients with tauopathy. Our findings reveal a novel epigenetic mechanism in aging microglia that contributes to cognitive deficits in neurodegenerative diseases. Study of changes related to alterations of SIRT1 levels in microglia of young and aged animals and in models of neurodegenerative dementia
2014-10-01 | E-GEOD-56452 | biostudies-arrayexpress
Project description:This study investigated the epigenetic mark of DNA methylation in the medial prefrontal cortex (mPFC) as a function of age and cognition. Young and aged F344 rats were characterized in a cognitive flexibility task, set shifting, and whole-genome bisulfite sequencing was performed in an Illumina system. The results indicate that differential methylation was linked to the expression of genes within functional categories which may mediate impaired cognition in aging. Differences in aging included hypermethylation of genes linked to synaptic function and GTPase activity. Further, age-related cognitive flexibility impairment was correlated to hypermethylation of synaptic, postsynaptic density and ion channel activity genes.
2017-08-02 | GSE97612 | GEO
Project description:Vitamin D is an important calcium-regulating hormone with diverse functions in numerous tissues including the brain. Increasing evidence suggests that vitamin D may play a role in maintaining cognitive function and that vitamin D deficiency may accelerate age-related cognitive decline. Using aging rodents, we attempted to model the range of human serum vitamin D levels, from deficient to sufficient, to test whether vitamin D could preserve or improve cognitive function with aging. For 5-6 months, middle-aged F344 rats were fed diets containing low, medium (typical amount) or high vitamin D3 (100, 1000 or 10,000 IU/kg diet, respectively) and then hippocampal-dependent learning and memory were tested in the Morris water maze. Rats on high vitamin D achieved the highest blood levels (in the sufficient range) and significantly outperformed low and medium groups on maze reversal, a particularly challenging task that detects more subtle changes in memory. In addition to calcium-related processes, hippocampal gene expression microarrays identified pathways pertaining to synaptic transmission, cell communication and G-protein function as being up-regulated with high vitamin D. Basal synaptic transmission also was enhanced corroborating observed effects on gene expression and learning and memory. Our studies demonstrate a causal relationship between vitamin D status and cognitive function and suggest that vitamin D-mediated changes in hippocampal gene expression may improve the likelihood of successful brain aging. Sixty, middle-aged male F344 rats were divided into three groups, each receiving for 5-6 months a different dietary amount of cholecalciferol (vitamin D3; VitD3). Purified AIN-93G (Harlan-Teklad) diet was modified to contain low, medium or high VitD3 (IU/kg diet): High = 10,000, Standard (Control) = 1000; Low = 100. Animal weight and amount of food consumed was recorded 2-3 times/week. Serum levels of 25-hydroxy vitamin D were determined using liquid chromatography/tandem mass spectrometry (ZRT Laboratory). Hippocampal RNA was isolated, quantified and checked for RNA integrity. One low VitD3 sample failed RNA quality control. Remaining RNA samples were applied to Affymetrix Rat Gene 1.0 ST arrays (one array/subject). Pre-statistical filtering removed poorly annotated probe sets, low intensity signals, and outlier values (>2SD of the group mean). Filtered data were analyzed by 1-way ANOVA to identify significant differences and the False Discovery Rate (FDR) procedure was used to estimate the error of multiple testing. FDR was compared at 0.31 and 0.17. Significant genes were assigned to one of four idealized expression patterns using Pearson’s test and separated by the sign of their correlation; relative gene expression values are provided on the log-2 scale. Functional categorization for significant genes was determined using DAVID bioinformatic tools. Please note that 'Marked' and 'Unmarked' (in the sample titles) refers to whether the rat had a mark on its tail. The rats were pair-housed and this is how two rats in one cage were distinguished.
2014-09-23 | E-GEOD-61326 | biostudies-arrayexpress
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Project description:Type 2 diabetes mellitus (T2DM) is an independent risk factor of Alzheimer's disease (AD), thus, identifying who among the increasing T2DM populations may develop into AD is important for early intervention. By using TMT-labeling coupled high-throughput mass spectrometry, we conducted a comprehensive plasma proteomic analysis in none-T2DM people (Ctrl, n=30), and the age-/sex-matched T2DM patients with mild cognitive impairment (T2DM-MCI, n=30) or T2DM without MCI (T2DM-nMCI, n=25). The candidate biomarkers identified by proteomics and bioinformatics analyses were verified by ELISA, and their diagnostic capabilities were evaluated with machine learning. A total of 53 differentially expressed proteins (DEPs) were identified in T2DM-MCI compared with T2DM-nMCI patients. These DEPs were significantly enriched in multiple biological processes, such as amyloid neuropathies, CNS disorders, and metabolic acidosis. Among the DEPs, alpha-1-antitrypsin (SERPINA1), major viral protein (PRNP), valosin-containing protein (VCP) showed strong collection with AD high-risk genes APP, MAPT, APOE, PSEN1, and PSEN2. And the levels of PP2A cancer inhibitor (CIP2A), PRNP, corticotropin releasing factor binding protein (CRHBP) were significantly increased, while the level of VCP was decreased in T2DM-MCI patients compared with the T2DM-nMCI, and these changes were correlated with the mini-mental state examination (MMSE) score. Further machine learning data showed that increases of CIP2A, ratio of β-amyloid (rAβ42/40), and rGSK-3β(T/S9) (ratio of total to serine-9-phosphorylated glycogen synthase kinase-3β) had the greatest power to identify mild cognitive decline in T2DM patients.
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