Blockade of VCAM1 or VLA4 preserves cerebrovasculature and prevents cognitive decline late after stroke
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ABSTRACT:
PROVIDER: PRJNA1281383 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR34138836_1.fastq.gz | Fastqsanger.gz | |||
| SRR34138836_2.fastq.gz | Fastqsanger.gz | |||
| SRR34138837_1.fastq.gz | Fastqsanger.gz | |||
| SRR34138837_2.fastq.gz | Fastqsanger.gz | |||
| SRR34138838_1.fastq.gz | Fastqsanger.gz |
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Project description:Infarct-induced neurodegeneration increases dementia risk for at least a decade in humans. It can be modeled in wildtype mice, where a cortical stroke results in chronic lymphocytic infiltration into the infarct and delayed cognitive decline. Vascular cell adhesion molecule 1 (VCAM1) on endothelial cells is increased by stroke and facilitates immune cell diapedesis by binding very late antigen 4 (VLA4) on immune cells. We report here that after stroke, chronic but not acute treatment with an anti-VCAM1 blocking antibody reduces B and T lymphocyte infiltration and prevents chronic cognitive dysfunction in wildtype male and female mice. Preservation of cognitive function was also seen with chronic anti-VLA4 treatment despite anti-VLA4’s lack of effect on lymphocyte infiltration. High-depth single-cell RNA sequencing of the chronic infarct and peri-infarct cortex revealed a pronounced decrease in expression of blood vessel growth and maturation genes in endothelial cells that was reversed by both anti-VLA4 and anti-VCAM1. Plasma proteomics also support a vasculoprotective mechanism of anti-VCAM1. Finally, immunostaining demonstrated that both antibodies improve pericyte coverage of the vasculature and prevent extravascular fibrinogen leakage. Together, our findings indicate that vascular structure and function remain abnormal long after stroke and that the VLA4/VCAM1 axis is a promising treatment target for infarct-induced neurodegeneration as blockade restores cerebrovasculature and prevents cognitive decline.
2025-06-25 | GSE300564 | GEO
Project description:Type 2 diabetes (T2D) is consistently associated with an elevated risk of cognitive decline and dementia. The underlying molecular mechanisms relating T2D to cognitive decline remain unclear, impeding the ability to detect the earliest stages of cognitive decline in older adults with T2D, consequently hindering advancement of preventive interventions. This study compared quantitative alterations in glycoproteoforms, represented by tryptic glycopeptiforms—specific glycan compositions on amino acid sites of proteins—in older T2D adults. We utilized label free, mass spectrometry-based glycoproteomics to analyze protein N-glycosylation and glycation patterns in serum samples, collected at two time points (T1 and T2), an average 52 months apart, from two initially cognitively healthy T2D groups. One group was comprised of individuals who experienced cognitive decline (“decliners”; N=8), and the other, of individuals who maintained normal cognition (“non-decliners”; N=14) over time. Comparison of these two groups revealed distinct patterns for glycosylation and glycation. Glycosylation primarily affected platelet function pathways. Glycation was also involved in immune system and platelet function along with various metabolic pathways. These findings suggest that aberrant glycoproteomic modifications may contribute to the development of cognitive impairment in T2D and may serve as potential early biomarkers. Further research is warranted to elucidate the functional implications of glycopeptiform modifications in T2D-related cognitive decline.
2025-02-16 | PXD050780 | Pride
Project description:Normal aging process is accompanied by cognitive decline. Studies have shown that the hypothalamus plays an important role in regulating aging and cognition. However, the exact molecular mechanism remains unclear. Therefore, the present study aimed to identify predictors of aging cognitive decline in the hypothalamus. The behavioral experiment was used to identify learning and memory differences between young and old mice. Transcriptome sequencing was performed on the hypothalamus of young and old mice to identify potential genes.Our data provide the related genes ,which may be potential predictors of cognitive function in the elderly population, which will establish an important foundation for us to further explore the molecular mechanism.
2024-07-01 | GSE240365 | GEO
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 experiment aims at comparing the transcriptomic profiles of two subpopulations of fetal human cardiac fibroblasts (HCF) defined by their relative expression of VCAM1. VCAM1-positive and VCAM1-negative populations were isolated from commercial fetal HCF by MACS against VCAM1. The RNA-seq procedure was outsourced to GENEWIZ (South Plainfield, NJ, USA), and subsequent analysis was performed in-house. Briefly, total mRNA was captured using the NEBNext Poly(A) mRNA Magnetic Isolation Module, and the library was constructed with the NEBNext Ultra RNA Library Prep Kit for Illumina. Sequencing was realized on an Illumina HiSeq 2500 System.
2020-08-08 | E-MTAB-9161 | biostudies-arrayexpress
Project description:Type 2 diabetes (T2D) is associated with increased risk of cognitive decline although the precise underlying pathogenesis remains obscure. Based on the single-cell RNA sequencing approach applied to the cerebral cortex of a T2D mouse model (db/db), we identified novel regulatory mechanisms underlying diabetes-associated cognitive deficits. Our data adds detail to the highly complex neurovascular pathology associated with T2D and highlights key cell-specific deficits in mitochondrial bioenergetics linked to neuroinflammation, which underlie T2D-linked cognitive impairment.
2023-06-26 | GSE217665 | GEO
Project description:Neural imaging, genetics, and circulating biomarkers are being developed to differentiate normal aging from diseases that affect cognition. The blood based biomarkers, such as plasma exosome could provide a simple and relatively inexpensive means for tracking the progression of cognitive decline and effectiveness of treatments, as well as providing information on mechanism for cognitive impairment.
2017-10-11 | GSE97644 | GEO
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
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