183 research outputs found

    The role of hnRNPs in frontotemporal dementia and amyotrophic lateral sclerosis

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    Dysregulated RNA metabolism is emerging as a crucially important mechanism underpinning the pathogenesis of frontotemporal dementia (FTD) and the clinically, genetically and pathologically overlapping disorder of amyotrophic lateral sclerosis (ALS). Heterogeneous nuclear ribonucleoproteins (hnRNPs) comprise a family of RNA-binding proteins with diverse, multi-functional roles across all aspects of mRNA processing. The role of these proteins in neurodegeneration is far from understood. Here, we review some of the unifying mechanisms by which hnRNPs have been directly or indirectly linked with FTD/ALS pathogenesis, including their incorporation into pathological inclusions and their best-known roles in pre-mRNA splicing regulation. We also discuss the broader functionalities of hnRNPs including their roles in cryptic exon repression, stress granule assembly and in co-ordinating the DNA damage response, which are all emerging pathogenic themes in both diseases. We then present an integrated model that depicts how a broad-ranging network of pathogenic events can arise from declining levels of functional hnRNPs that are inadequately compensated for by autoregulatory means. Finally, we provide a comprehensive overview of the most functionally relevant cellular roles, in the context of FTD/ALS pathogenesis, for hnRNPs A1-U

    Rural inflammatory bowel disease care in Australia: disease outcomes and perceived barriers to optimal care

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    Background: This study aimed to describe and compare disease outcomes in rural patients with Inflammatory Bowel Disease (IBD), review perspectives regarding barriers to optimal rural IBD care and define non-gastroenterologist healthcare practitioners’ exposure to and knowledge of IBD. Method and Materials: Rural patients who had previously completed an IBD questionnaire were identified from a tertiary hospital IBD database and matched for disease, age and gender to metropolitan patients from this same database. A further rural IBD cohort was identified from a rural general practice database in Mount Gambier, South Australia. These patients were invited to complete the same IBD questionnaire relating to disease characteristics and a further questionnaire relating to perceived barriers to optimal care. A questionnaire was also sent to rural healthcare practitioners seeking perspectives on IBD practice, knowledge of IBD management and perceived barriers to care for rural IBD patients. Results: No statistically significant difference was found between rural and metropolitan IBD patients identified on the database. Thirty-three Mount Gambier rural patients returned questionnaires (response rate 30%). No significant difference was found between the Mount Gambier rural cohort and the IBD database metropolitan cohort for the majority of disease complications and outcomes; however variance in medication use and access to imaging was found. A total of 233 healthcare practitioners completed questionnaires (response rate 21%). The majority of rural practitioners felt comfortable with managing IBD, yet 80% of general practitioners felt uncomfortable using immunomodulators. Disease knowledge using a validated tool appeared satisfactory. Teleconferencing and information sessions were suggested as possible interventions to overcome the identified barriers. Conclusion: No statistically significant differences in the rate of patient reported disease complications were found. A variance of practice with respect to methotrexate, iron replacement and hydrocortisone therapy and use of MRI was noted. Descriptive data regarding perceived barriers in addition to these findings will help guide future interventions to enable equality of care for patients with IBD living in regional and remote locations.Bennett AL, Wichmann M, Chi JK, Andrews JM and Bampton P

    Rural inflammatory bowel disease care in Australia: disease outcomes and perceived barriers to optimal care

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    Background: This study aimed to describe and compare disease outcomes in rural patients with Inflammatory Bowel Disease (IBD), review perspectives regarding barriers to optimal rural IBD care and define non-gastroenterologist healthcare practitioners’ exposure to and knowledge of IBD. Method and Materials: Rural patients who had previously completed an IBD questionnaire were identified from a tertiary hospital IBD database and matched for disease, age and gender to metropolitan patients from this same database. A further rural IBD cohort was identified from a rural general practice database in Mount Gambier, South Australia. These patients were invited to complete the same IBD questionnaire relating to disease characteristics and a further questionnaire relating to perceived barriers to optimal care. A questionnaire was also sent to rural healthcare practitioners seeking perspectives on IBD practice, knowledge of IBD management and perceived barriers to care for rural IBD patients. Results: No statistically significant difference was found between rural and metropolitan IBD patients identified on the database. Thirty-three Mount Gambier rural patients returned questionnaires (response rate 30%). No significant difference was found between the Mount Gambier rural cohort and the IBD database metropolitan cohort for the majority of disease complications and outcomes; however variance in medication use and access to imaging was found. A total of 233 healthcare practitioners completed questionnaires (response rate 21%). The majority of rural practitioners felt comfortable with managing IBD, yet 80% of general practitioners felt uncomfortable using immunomodulators. Disease knowledge using a validated tool appeared satisfactory. Teleconferencing and information sessions were suggested as possible interventions to overcome the identified barriers. Conclusion: No statistically significant differences in the rate of patient reported disease complications were found. A variance of practice with respect to methotrexate, iron replacement and hydrocortisone therapy and use of MRI was noted. Descriptive data regarding perceived barriers in addition to these findings will help guide future interventions to enable equality of care for patients with IBD living in regional and remote locations.Bennett AL, Wichmann M, Chi JK, Andrews JM and Bampton P

    HnRNP K mislocalisation is a novel protein pathology of frontotemporal lobar degeneration and ageing and leads to cryptic splicing

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    Heterogeneous nuclear ribonucleoproteins (HnRNPs) are a group of ubiquitously expressed RNA-binding proteins implicated in the regulation of all aspects of nucleic acid metabolism. HnRNP K is a member of this highly versatile hnRNP family. Pathological redistribution of hnRNP K to the cytoplasm has been linked to the pathogenesis of several malignancies but, until now, has been underexplored in the context of neurodegenerative disease. Here we show hnRNP K mislocalisation in pyramidal neurons of the frontal cortex to be a novel neuropathological feature that is associated with both frontotemporal lobar degeneration and ageing. HnRNP K mislocalisation is mutually exclusive to TDP-43 and tau pathological inclusions in neurons and was not observed to colocalise with mitochondrial, autophagosomal or stress granule markers. De-repression of cryptic exons in RNA targets following TDP-43 nuclear depletion is an emerging mechanism of potential neurotoxicity in frontotemporal lobar degeneration and the mechanistically overlapping disorder amyotrophic lateral sclerosis. We silenced hnRNP K in neuronal cells to identify the transcriptomic consequences of hnRNP K nuclear depletion. Intriguingly, by performing RNA-seq analysis we find that depletion of hnRNP K induces 101 novel cryptic exon events. We validated cryptic exon inclusion in an SH-SY5Y hnRNP K knockdown and in FTLD brain exhibiting hnRNP K nuclear depletion. We, therefore, present evidence for hnRNP K mislocalisation to be associated with FTLD and for this to induce widespread changes in splicing

    The Role of Individual Variables, Organizational Variables and Moral Intensity Dimensions in Libyan Management Accountants’ Ethical Decision Making

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    This study investigates the association of a broad set of variables with the ethical decision making of management accountants in Libya. Adopting a cross-sectional methodology, a questionnaire including four different ethical scenarios was used to gather data from 229 participants. For each scenario, ethical decision making was examined in terms of the recognition, judgment and intention stages of Rest’s model. A significant relationship was found between ethical recognition and ethical judgment and also between ethical judgment and ethical intention, but ethical recognition did not significantly predict ethical intention—thus providing support for Rest’s model. Organizational variables, age and educational level yielded few significant results. The lack of significance for codes of ethics might reflect their relative lack of development in Libya, in which case Libyan companies should pay attention to their content and how they are supported, especially in the light of the under-development of the accounting profession in Libya. Few significant results were also found for gender, but where they were found, males showed more ethical characteristics than females. This unusual result reinforces the dangers of gender stereotyping in business. Personal moral philosophy and moral intensity dimensions were generally found to be significant predictors of the three stages of ethical decision making studied. One implication of this is to give more attention to ethics in accounting education, making the connections between accounting practice and (in Libya) Islam. Overall, this study not only adds to the available empirical evidence on factors affecting ethical decision making, notably examining three stages of Rest’s model, but also offers rare insights into the ethical views of practising management accountants and provides a benchmark for future studies of ethical decision making in Muslim majority countries and other parts of the developing world

    Depletion of Kinesin 5B Affects Lysosomal Distribution and Stability and Induces Peri-Nuclear Accumulation of Autophagosomes in Cancer Cells

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    Background: Enhanced lysosomal trafficking is associated with metastatic cancer. In an attempt to discover cancer relevant lysosomal motor proteins, we compared the lysosomal proteomes from parental MCF-7 breast cancer cells with those from highly invasive MCF-7 cells that express an active form of the ErbB2 (DN-ErbB2). Methodology/Principal Findings: Mass spectrometry analysis identified kinesin heavy chain protein KIF5B as the only microtubule motor associated with the lysosomes in MCF-7 cells, and ectopic DN-ErbB2 enhanced its lysosomal association. KIF5B associated with lysosomes also in HeLa cervix carcinoma cells as analyzed by subcellular fractionation. The depletion of KIF5B triggered peripheral aggregations of lysosomes followed by lysosomal destabilization, and cell death in HeLa cells. Lysosomal exocytosis in response to plasma membrane damage as well as fluid phase endocytosis functioned, however, normally in these cells. Both HeLa and MCF-7 cells appeared to express similar levels of the KIF5B isoform but the death phenotype was weaker in KIF5B-depleted MCF-7 cells. Surprisingly, KIF5B depletion inhibited the rapamycin-induced accumulation of autophagosomes in MCF-7 cells. In KIF5B-depleted cells the autophagosomes formed and accumulated in the close proximity to the Golgi apparatus, whereas in the control cells they appeared uniformly distributed in the cytoplasm. Conclusions/Significance: Our data identify KIF5B as a cancer relevant lysosomal motor protein with additional functions in autophagosome formatio

    Abeta42-Induced Neurodegeneration via an Age-Dependent Autophagic-Lysosomal Injury in Drosophila

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    The mechanism of widespread neuronal death occurring in Alzheimer's disease (AD) remains enigmatic even after extensive investigation during the last two decades. Amyloid beta 42 peptide (Aβ1–42) is believed to play a causative role in the development of AD. Here we expressed human Aβ1–42 and amyloid beta 40 (Aβ1–40) in Drosophila neurons. Aβ1–42 but not Aβ1–40 causes an extensive accumulation of autophagic vesicles that become increasingly dysfunctional with age. Aβ1–42-induced impairment of the degradative function, as well as the structural integrity, of post-lysosomal autophagic vesicles triggers a neurodegenerative cascade that can be enhanced by autophagy activation or partially rescued by autophagy inhibition. Compromise and leakage from post-lysosomal vesicles result in cytosolic acidification, additional damage to membranes and organelles, and erosive destruction of cytoplasm leading to eventual neuron death. Neuronal autophagy initially appears to play a pro-survival role that changes in an age-dependent way to a pro-death role in the context of Aβ1–42 expression. Our in vivo observations provide a mechanistic understanding for the differential neurotoxicity of Aβ1–42 and Aβ1–40, and reveal an Aβ1–42-induced death execution pathway mediated by an age-dependent autophagic-lysosomal injury

    Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

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    Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers
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