Miracle-dz/UniFAR-FTUs huggingface dataset:
CdtC-Induced Processing of Membrane-Bound CdtA Is a Crucial Step in Aggregatibacter actinomycetemcomitans Cytolethal Distending Toxin Holotoxin Formation

ABSTRACT Aggregatibacter actinomycetemcomitans is an oral pathogen causing periodontal disease and bacterial endocarditis. It produces cytolethal distending toxin (CDT) that could damage mammalian cells and tissues. CDT is a tripartite protein toxin composed of CdtA, CdtB, and CdtC. We have previously indicated that CdtA is a lipoprotein and that the proteolytic processing of CdtA is important for biogenesis and secretion of CDT holotoxin. Here, we established an in vitro processing assay of CdtA and investigated the interactions of CdtA with other Cdt subunits. This assay demonstrated that incubation of membrane-bound CdtA (MCdtA), CdtB, and CdtC immediately generated a processed form of CdtA (CdtA′), which is recovered from the soluble fraction. In contrast, incubation of soluble membrane-unbound CdtA with CdtB and CdtC did not yield any CdtA′. Furthermore, incubation of CdtC with MCdtA was enough to induce rapid processing of MCdtA, whereas CdtB alone was unable to induce the processing. Coimmunoprecipitation demonstrated that CdtA′ and CdtC formed a complex. Furthermore, subsequent addition of CdtB to this reaction mixture resulted in complete CDT holotoxin complex. The cytolethal distending activity assay demonstrated that CDT complex containing CdtA′ showed far stronger cytotoxicity than that containing CdtA. Collectively, our data suggest that CDT holotoxin formation in vivo is a sequential event: interaction of MCdtA and CdtC induces proteolytic processing of MCdtA, and the released CdtA′ forms a complex with CdtC. Subsequent binding of CdtB to the CdtA′/CdtC complex results in CDT holotoxin formation.
Metabolic syndrome, endocrine disruptors and prostate cancer associations: biochemical and pathophysiological evidences

This review summarizes the main pathophysiological basis of the relationship between metabolic syndrome, endocrine disruptor exposure and prostate cancer that is the most common cancer among men in industrialized countries. Metabolic syndrome is a cluster of metabolic and hormonal factors having a central role in the initiation and recurrence of many western chronic diseases including hormonal-related cancers and it is considered as the worlds leading health problem in the coming years. Many biological factors correlate metabolic syndrome to prostate cancer and this review is aimed to focus, principally, on growth factors, cytokines, adipokines, central obesity, endocrine abnormalities and exposure to specific endocrine disruptors, a cluster of chemicals, to which we are daily exposed, with a hormone-like structure influencing oncogenes, tumor suppressors and proteins with a key role in metabolism, cell survival and chemo-resistance of prostate cancer cells. Finally, this review will analyze, from a molecular point of view, how specific foods could reduce the relative risk of incidence and recurrence of prostate cancer or inhibit the biological effects of endocrine disruptors on prostate cancer cells. On the basis of these considerations, prostate cancer remains a great health problem in terms of incidence and prevalence and interventional studies based on the treatment of metabolic syndrome in cancer patients, minimizing exposure to endocrine disruptors, could be a key point in the overall management of this disease.
Neutralizing monoclonal antibodies recognize antigenic variants among isolates of infectious hematopoietic necrosis virus

Neutralizing monoclonal antibodies were developed against strains of infectious hematopoietic necrosis virus (IHNV) from steelhead trout Salmo gajrdneri in the Deschutes River of Oregon, chinook salmon Oncorhynchus tshawytscha in the Sacramento h v e r of California, and rainbow trout Salmo gairdneri reared in the Hagerman Valley of Idaho. USA. These antibodies were tested for neutralization of 12 IHNV isolates obtained from salmonids in Japan, Alaska, Washington, Oregon, California, and Idaho. The antibodies recognized antigenic variants among the isolates and could be used to separate the viruses into 4 groups. The members of each group tended to be related by geographic area rather than by source host species, virulence, or date of isolation.
Decreased Resting-State Interhemispheric Functional Connectivity Correlated with Neurocognitive Deficits in Drug-Naive First-Episode Adolescent-Onset Schizophrenia

Abstract Background Given that adolescence is a critical epoch in the onset of schizophrenia, studying aberrant brain changes in adolescent-onset schizophrenia, particularly in patients with drug-naive first-episode schizophrenia, is important to understand the biological mechanism of this disorder. Previous resting-state functional magnetic resonance imaging studies have shown abnormal functional connectivity in separate hemispheres in patients with adult-onset schizophrenia. Our aim to study adolescent-onset schizophrenia can provide clues for the early aetiology of schizophrenia. Method A total of 48 drug-naïve, first-episode, adolescent-onset schizophrenia outpatients and 31 healthy controls underwent resting-state functional magnetic resonance imaging scans. Data were subjected to voxel-mirrored homotopic connectivity and support vector machine analyses. Results Compared with the healthy controls, the adolescent-onset schizophrenia group showed significantly lower voxel-mirrored homotopic connectivity values in different brain regions, including the fusiform gyrus, superior temporal gyrus/insula, precentral gyrus, and precuneus. Decreased voxel-mirrored homotopic connectivity values in the superior temporal gyrus/insula were significantly correlated with Trail-Making Test: Part A performance (r = −0.437, P = .002). A combination of the voxel-mirrored homotopic connectivity values in the precentral gyrus and precuneus may be used to discriminate patients with adolescent-onset schizophrenia from controls with satisfactory classification results, which showed sensitivity of 100%, specificity of 87.09%, and accuracy of 94.93%. Conclusion Our findings highlight resting-state interhemispheric FC abnormalities within the sensorimotor network of patients with adolescent-onset schizophrenia and confirm the relationship between adolescent-onset schizophrenia and adult-onset schizophrenia. These findings suggest that reduced interhemispheric connectivity within the sensorimotor network has a pivotal role in the pathogenesis of schizophrenia.
Impact of Seasons and Festivals on the Onset of Acute Pancreatitis in Shanghai, China

Objectives Seasonal variation on acute pancreatitis (AP) has not been investigated in Eastern Asia. The aims of the study were to assess the association of the onset of AP with the occurrence of seasons and Chinese festivals and to investigate trends in AP incidence in Shanghai, China. Methods From January 2009 to December 2014, a total of 1780 patients with AP were considered. The incidence was assessed by different etiology and severity. Monthly disease prevalence was investigated to explore the seasonal variation. The prevalence on weekdays, weekends, and festivals was evaluated to establish any weekly or festival influences in AP. Results Acute pancreatitis increased from 30.5 per 100,000 in 2009 to 39.2 in 2014 (5.1% annual increase), with greatest increases in alcoholic (19.8% annually) and severe AP (13.7% annually). Time series analysis indicated that prevalence was significantly higher form February to May (spring) and from September to October (autumn). Acute pancreatitis increased during Chinese festivals, 17% and 28% greater than that observed on weekdays and weekends, respectively. Prevalence was greatest in Chinese Spring Festival week. Conclusions Acute pancreatitis increased in Shanghai and had a seasonal variation, with a higher frequency of events in the spring and autumn. Chinese festivals are associated with a high prevalence of AP.
Multi-Channel Pyramid Person Matching Network for Person Re-Identification

In this work, we present a Multi-Channel deep convolutional Pyramid Person Matching Network (MC-PPMN) based on the combination of the semantic-components and the color-texture distributions to address the problem of person re-identification. In particular, we learn separate deep representations for semantic-components and color-texture distributions from two person images and then employ pyramid person matching network (PPMN) to obtain correspondence representations. These correspondence representations are fused to perform the re-identification task. Further, the proposed framework is optimized via a unified end-to-end deep learning scheme. Extensive experiments on several benchmark datasets demonstrate the effectiveness of our approach against the state-of-the-art literature, especially on the rank-1 recognition rate.
Targeting programmed cell death ligand 1 by CRISPR/Cas9 in osteosarcoma cells

Programmed cell death ligand 1 (PD-L1) is a transmembrane protein that is expressed on tumor cells that suppresses the T cell-mediated immune response. Therapies targeting the PD-L1 pathway promote anti-tumor immunity and have shown promising results in some types of cancers. However, the functional and therapeutic roles of PD-L1 in osteosarcoma remain largely unknown. In this study, we found that PD-L1 protein was expressed in osteosarcoma cell lines and tissue microarray of patient tumors. Tissue microarray immunohistochemistry analysis showed that the overall and five-year survival rates of patients with high levels of PD-L1 expression were significantly shorter than patients with low levels. High levels of PD-L1 expression were also associated with metastasis in osteosarcoma patients. Furthermore, we applied the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 system to target PD-L1 gene at the DNA level in osteosarcoma cell lines. We found that the expression of PD-L1 could be efficiently disrupted by CRISPR/Cas9 system and PD-L1 knockdown increased drug sensitivities for doxorubicin and paclitaxel. These results suggest that PD-L1 is an independent prognostic factor in osteosarcoma and that PD-L1 knockout by CRISPR/Cas9 may be a therapeutic approach for the treatment of osteosarcoma.
The prognostic impact of long noncoding RNA HOTAIR in leukemia and lymphoma: a meta-analysis

ABSTRACT Objectives: Multiple studies have shown that the expression level of Homeobox (HOX) transcript antisense RNA (HOTAIR) has a correlation with the diagnosis and prognosis of acute leukemia (AL) and lymphoma. The prognostic significance of HOTAIR on AL and lymphoma has been controversial. Our study thus was performed to further reveal its prognostic value in leukemia and lymphoma. Methods: By literature searching in some common electronic databases, five studies covering a number of 531 patients were included in this meta-analysis. We extracted useful data to calculate the pooled hazard ratio (HR) and p-value. Results: The combined HR estimated for overall survival (OS) was 1.87 (95% confidence interval (CI): 1.03–3.47; p = . 041) when comparing patients with high HOTAIR with those low. For event/disease/relapse-free survival, the HR was 1.53 (95%CI: 0.58–4.06; p = .39). Subgroup analyses showed that the HR for OS was 2.32 (95%CI: 1.56–3.44; p = .000) in patients with AL and 1.24 (95%CI: 0.21–7.45; p = .817) in lymphoma. Additionally, the Ann-Arbor stage (p = .0009) and the international prognostic index score (p = .0065) were found to be statistically significant between patients with high and low HOTAIR expression. Also, the hemoglobin (HGB) level (p = .008), platelet (PLT) count (p = .001) and blasts in bone marrow (p = .001), but not the French–American–British classification, were found statistically significant. Discussion: Although our analysis has its limitation, it showed that high expression of HOTAIR had a significantly inferior impact on OS and some clinical parameter of leukemia and lymphoma patients. Conclusion: HOTAIR played an important prognostic role in leukemia and lymphoma and might serve as a potential target for therapeutic intervention in those patients.
Large-area, continuous roll-to-roll nanoimprinting with PFPE composite molds

Successful implementation of a high-speed roll-to-roll nanoimprinting technique for continuous manufacturing of electronic devices has been hindered due to lack of simple substrate preparation steps, as well as lack of durable and long lasting molds that can faithfully replicate nanofeatures with high fidelity over hundreds of imprinting cycles. In this work, we demonstrate large-area high-speed continuous roll-to-roll nanoimprinting of 1D and 2D micron to sub-100 nm features on flexible substrate using perfluoropolyether (PFPE) composite molds on a custom designed roll-to-roll nanoimprinter. The efficiency and reliability of the PFPE based mold for the dynamic roll-to-roll patterning process was investigated. The PFPE composite mold replicated nanofeatures with high fidelity and maintained superb mold performance in terms of dimensional integrity of the nanofeatures, nearly defect free pattern transfer and exceptional mold recovering capability throughout hundreds of imprinting cycles.
Acupuncture Therapy and Incidence of Depression After Stroke

Background and Purpose— We investigated whether use of acupuncture within a 3-month poststroke period after hospital discharge is associated with reduced risk of depression. Methods— This cohort study included 16 046 patients aged ≥18 years with an initial hospitalization for stroke during 2000 and 2012 in the claims database of a universal health insurance program. Patients who had received acupuncture therapies within 3 months of discharge were defined as acupuncture users (n=1714). All patients were followed up for incidence of depression until the end of 2013. We assessed the association between use of acupuncture and incidence of depression using Cox proportional hazards models in all subjects and in propensity score–matched samples consisting of 1714 pairs of users and nonusers. Results— During the follow-up period, the incidence of depression per 1000 person-years was 11.1 and 9.7 in users and nonusers, respectively. Neither multivariable-adjusted Cox models (hazard ratio, 1.04; 95% confidence interval, 0.84–1.29) nor the propensity score-matching model (hazard ratio, 1.06; 95% confidence interval, 0.79–1.42) revealed an association between use of acupuncture and incidence of depression. Conclusions— In patients admitted to hospital for stroke, acupuncture therapy within 3 months after discharge was not associated with subsequent incidence of depression.
Community Environmental Contamination of Toxigenic Clostridium difficile

Abstract Background Clostridium difficile infection is often considered to result from recent acquisition of a C difficile isolate in a healthcare setting. However, C difficile spores can persist for long periods of time, suggesting a potentially large community environmental reservoir. The objectives of this study were to assess community environmental contamination of toxigenic C difficile and to assess strain distribution in environmental versus clinical isolates. Methods From 2013 to 2015, we collected community environmental swabs from homes and public areas in Houston, Texas to assess C difficile contamination. All positive isolates were tested for C difficile toxins A and B, ribotyped, and compared with clinical C difficile isolates obtained from hospitalized patients in Houston healthcare settings. Results A total of 2538 environmental samples were collected over the study period. These included samples obtained from homes (n = 1079), parks (n = 491), chain stores (n = 225), fast food restaurants (n = 123), other commercial stores (n = 172), and hospitals (n = 448). Overall, 418 environmental isolates grew toxigenic C difficile (16.5%; P < .001) most commonly from parks (24.6%), followed by homes (17.1%), hospitals (16.5%), commercial stores (8.1%), chain stores (7.6%), and fast food restaurants (6.5%). A similar distribution of ribotypes was observed between clinical and environmental isolates with the exception that ribotype 027 was more common in clinical isolates compared with environmental isolates (P < .001). Conclusions We identified a high prevalence of toxigenic C difficile from community environs that were similar ribotypes to clinical isolates. These findings suggest that interventions beyond isolation of symptomatic patients should be targeted for prevention of C difficile infection.
Increasing the Throughput of Pipe-and-Filter Architectures by Integrating the Task Farm Parallelization Pattern

The Pipe-and-Filter style represents a well-known family of component-based architectures. By executing each filter on a dedicated processing unit, it is also possible to leverage contemporary distributed systems and multi-core systems for a high throughput. However, this simple parallelization approach is not very effective when (1) the workload is uneven distributed over all filters and when (2) the number of available processing units exceeds the number of filters. In the first case, parallelizing all filters can lead to a waste of resources since only the slowest filter is responsible for the overall throughput. In the second case, some processing units remain unused. In this paper, we present an automatic parallelization approach providing high throughput and utilizing the available processing units. Our main idea is to provide a composite filter that is wrapped around an existing filter to increase its throughput. We call this composite filter the Task Farm Filter since it implements the Task Farm parallelization pattern. It creates and executes multiple instances of the underlying filter in parallel. Moreover, we present a modular, self-adaptive mechanism that automatically adapts the number of instances at runtime to achieve the highest possible throughput. Finally, we present an extensive experimental evaluation of our self-adaptive task farm filter by employing a CPU-intensive, an I/O-intensive, and a hybrid scenario. The evaluation shows that our task farm automatically parallelize the underlying filter and thus increases the overall throughput. Furthermore, the evaluation shows that our task farm scales well with the workload of the executed Pipe-and-Filter architecture.
Neuropsychological profiles of vascular disease and risk of dementia: implications for defining vascular cognitive impairment no dementia (VCI-ND)

Background vascular cognitive impairment no dementia (VCI-ND) defines a preclinical phase of cognitive decline associated with vascular disorders. The neuropsychological profile of VCI-ND may vary according to different vascular conditions. Objective to determine the neuropsychological profile of individuals with no dementia and vascular disorders, including hypertension, peripheral vascular disease (PVD), coronary heart disease (CHD), diabetes and stroke. Risk of 2-year incident dementia in individuals with disease and cognitive impairment was also tested. Methods participants were from the Cognitive Function and Ageing Study. At baseline, 13,004 individuals aged ≥65 years were enrolled into the study. Individuals were grouped by baseline disorder status (present, absent) for each condition. Cognitive performance was assessed using the Mini Mental State Examination (MMSE) and the Cambridge Cognitive Examination (CAMCOG). Dementia was assessed at 2 years. Results in the cross-sectional analysis, hypertension, PVD and CHD were not associated with cognitive impairment. Stroke was associated with impaired global (MMSE) and CAMCOG sub-scale (including memory and non-memory) scores. Diabetes was associated with impairments in global cognitive function (MMSE) and abstract thinking. In the longitudinal analysis, cognitive impairments were associated with incident dementia in all groups. Conclusion the neuropsychological profile in individuals with vascular disorders depends on the specific condition investigated. In all conditions cognitive impairment is a risk factor for dementia. A better understanding of which cognitive domains are affected in different disease groups could help improve operationalisation of the neuropsychological criteria for VCI-ND and could also aid with the development of dementia risk prediction models in persons with vascular disease.
A generalized approach for producing, quantifying, and validating citizen science data from wildlife images

Citizen science has the potential to expand the scope and scale of research in ecology and conservation, but many professional researchers remain skeptical of data produced by nonexperts. We devised an approach for producing accurate, reliable data from untrained, nonexpert volunteers. On the citizen science website www.snapshotserengeti. org, more than 28,000 volunteers classified 1.51 million images taken in a large‐scale camera‐trap survey in Serengeti National Park, Tanzania. Each image was circulated to, on average, 27 volunteers, and their classifications were aggregated using a simple plurality algorithm. We validated the aggregated answers against a data set of 3829 images verified by experts and calculated 3 certainty metrics—level of agreement among classifications (evenness), fraction of classifications supporting the aggregated answer (fraction support), and fraction of classifiers who reported “nothing here” for an image that was ultimately classified as containing an animal (fraction blank)—to measure confidence that an aggregated answer was correct. Overall, aggregated volunteer answers agreed with the expert‐verified data on 98% of images, but accuracy differed by species commonness such that rare species had higher rates of false positives and false negatives. Easily calculated analysis of variance and post‐hoc Tukey tests indicated that the certainty metrics were significant indicators of whether each image was correctly classified or classifiable. Thus, the certainty metrics can be used to identify images for expert review. Bootstrapping analyses further indicated that 90% of images were correctly classified with just 5 volunteers per image. Species classifications based on the plurality vote of multiple citizen scientists can provide a reliable foundation for large‐scale monitoring of African wildlife.
Kaolinite Particle Sizes in the <2 µm Range Using Laser Scattering

The Clay Minerals Society Source Clay kaolinites, Georgia KGa-1 and KGa-2, have been subjected to particle size determinations by 1) conventional sedimentation methods, 2) electron microscopy and image analysis, and 3) laser scattering using improved algorithms for the interaction of light with small particles. Particle shape, size distribution, and crystallinity vary considerably for each kaolinite. Replicate analyses of separated size fractions showed that in the <2 µm range, the sedimentation/centrifugation method of Tanner and Jackson (1947) is reproducible for different kaolinite types and that the calculated size ranges are in reasonable agreement with the size bins estimated from laser scattering. Particle sizes determined by laser scattering must be calculated using Mie theory when the dominant particle size is less than ∼5 µm. Based on this study of two well-known and structurally different kaolinites, laser scattering, with improved data reduction algorithms that include Mie theory, should be considered an internally consistent and rapid technique for clay particle sizing.