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Quansah, E.

Publications and source records attributed to Quansah, E..

5 recordsLinked to original sources

Tet2 loss suppress α-synuclein pathology by stimulating ciliogenesis

There are no approved treatments that slow Parkinsons disease (PD) progression and therefore it is important to identify novel pathogenic mechanisms that can be targeted. Loss of the epigenetic marker, Tet2 appears to have some beneficial effects in PD models, but the underlying mechanism of action is not well understood. We performed an unbiased transcriptomic analysis of cortical neurons isolated from patients with PD to identify dysregulated pathways and determine their potential contributions to the disease process. We discovered that genes associated with primary cilia, non-synaptic sensory and signaling organelles, are upregulated in both early and late PD patients. Enhancing ciliogenesis in primary cortical neurons via sonic hedgehog signaling suppressed the accumulation of -synuclein pathology in vitro. Interestingly, deletion of Tet2 in mice also enhanced the expression of primary cilia and sonic hedgehog signaling genes and rescued the accumulation of -synuclein pathology and dopamine neuron degeneration in vivo. Our findings demonstrate the crucial role of Tet2 loss in regulating ciliogenesis and potentially affecting the progression of PD pathology.

neuroscience↗

Genomic diversity and antimicrobial resistance in clinical Klebsiella pneumoniae isolates from tertiary hospitals in Southern Ghana

Comprehensive data on the genomic epidemiology of hospital-associated Klebsiella pneumoniae in Ghana is scarce. This study sequenced 103 clinical K. pneumoniae isolates from five tertiary hospitals in Southern Ghana, predominantly from paediatric patients under five years (67/103, 65%), with the majority collected from urine (32/103, 31%) and blood (25/103, 24%) cultures. We employed Pathogenwatch for genotyping via Kaptive (K/O antigens) and Kleborate (antimicrobial resistance and hypervirulence) and determined clonal relationships using core-genome multilocus sequence typing (cgMLST). Among the 44 distinct sequence types (STs) detected, ST133 was the most common, comprising 23% of isolates (n=23/103). We discovered 27 different capsular (K) locus antigens and seven lipopolysaccharide (O) types; KL116 (28/103, 27%) and O1 (66/103, 64%) were the most prevalent. Single-linkage clustering highlighted the global spread of multidrug-resistant clones such as ST15, ST307, ST17, ST11, ST101, and ST48, with minimal allele differences (1-5) from publicly available genomes worldwide. Conversely, several isolates (n=17) constituted novel clonal groups and lacked close relatives among publicly available genomes, displaying unique genetic diversity within our study population. A significant proportion of isolates (88/103, 85%) carried resistance genes for three or more antibiotic classes, with the blaCTXM-15 gene present in 78% (n=80/103). Carbapenem resistance, predominantly due to blaOXA-181 and blaNDM-1 genes, was found in 10% (n=10/103) of the isolates. Yersiniabactin was the predominant acquired virulence trait, identified in 70% (n=72/103) of the isolates. Our findings reveal a complex genomic landscape of K. pneumoniae in Southern Ghana, underscoring the critical need for ongoing genomic surveillance to manage the substantial burden of antimicrobial resistance.

genomics↗

A novel automated morphological analysis of microglia activation using a deep learning assisted model

There is growing evidence for the key role of microglial activation in brain pathophysiology. Consequently, there is a need for efficient automated methods to measure the morphological changes distinctive of microglia functional states in research settings. Currently, many commonly used automated methods can be subject to sample representation bias, time consuming imaging, specific hardware requirements, and difficulty in maintaining an accurate comparison across research environments. To overcome these issues, we use commercially available deep learning tools (Aiforia(R) Cloud (Aifoira Inc., Cambridge, United States) to quantify microglial morphology and cell counts from histopathological slides of Iba1 stained tissue sections. We provide evidence for the effective application of this method across a range of independently collected datasets in mouse models of viral infection and Parkinsons disease. Additionally, we provide a comprehensive workflow with training details and annotation strategies by feature layer that can be used as a guide to generate new models. In addition, all models described in this work are shared within the Aiforia(R) platform and are available for study-specific adaptation and validation.

neuroscience↗

Loss of one Engrailed1 allele enhances induced α-synucleinopathy

BackgroundParkinsons disease (PD) is a synucleinopathy that has multiple neuropathological characteristics, with nigrostriatal dopamine system degeneration being a core feature. Current models of PD pathology typically fail to recapitulate several attributes of the pathogenic process and neuropathology. We aimed to define the effects of combining a mouse model exhibiting multiple PD-like changes with intrastriatal injections of -synuclein (-syn) pre-formed fibrils (PFFs) aggregates. We employed the heterozygous Engrailed 1 (En1+/-) mouse that features several pathophysiological hallmarks of clinical PD. Objective: To test the hypothesis that the neuropathological changes in the En1+/- mice will promote formation of -syn aggregates following intrastriatal injections of pathogenic human -syn PFFs. Methods: We unilaterally injected PFFs into the striata of 1 month-old En1+/- and control wild-type mice and euthanized animals at 3 months for post-mortem analysis. Results: Using immunohistochemistry and unbiased stereology, we established that PFF-injected En1+/- mice exhibited a near-threefold increase in pS129--syn-positive neurons in the substantia nigra compared to PFF-injected wild-type mice. The PFF-injected En1+/- mice also displayed significant increases in pS129--syn-positive neurons in the amygdala and ventral tegmental area; regions of known PD pathology with projections to the striatum. Additionally, we observed amplified pS129--syn-positive aggregation in En1+/- mice in multiple cortical regions. Conclusions: Following intrastriatal injection of PFFs, absence of an En1 allele leads to additional aggregation of pathological -syn, potentially due to En1-loss mediated nigrostriatal impairment. We propose that further development of this double-hit model could be predictive of pre-clinical therapeutic potential and success for PD than existing mouse models.

neuroscience↗

Experimental colitis drives enteric alpha-synuclein accumulation and Parkinson-like brain pathology

Intraneuronal accumulation of -synuclein (Syn) is key in the pathogenesis of Parkinsons disease (PD). Published studies suggest that this process begins in the enteric nervous system (ENS) and propagates into the brain decades before clinical diagnosis of PD. The triggers and mechanisms underlying the accumulation of Syn remain unknown but evidence is growing, that immune pathways and in particular colitis may play a critical role. Here we demonstrate that patients with inflammatory bowel disease (IBD) exhibit Syn accumulation in their colon. We then confirmed in an experimental model of IBD that intestinal inflammation can trigger Syn accumulation in the ENS of wildtype and Syn transgenic mice. We discovered that the type and degree of inflammation modulates the extent of Syn accumulation in the colon and that macrophage-related signaling limits this process. Remarkably, experimental colitis at three months of age exacerbated the accumulation of aggregated phospho-Serine 129 Syn in the midbrain, including the substantia nigra, in 21-month but not 9-month-old Syn transgenic mice. This was accompanied by loss of nigral tyrosine hydroxylase-immunoreactive neurons, another neuropathological hallmark of PD. Together, our data suggest a critical role for intestinal inflammation in the initiation and progression of PD.

neuroscience↗