Association Signals Unveiled by a Comprehensive Gene Set Enrichment Analysis of Dental Caries Genome-Wide Association Studies

Gene set-based analysis of genome-wide association study (GWAS) data has recently emerged as a useful approach to examine the joint effects of multiple risk loci in complex human diseases or phenotypes. Dental caries is a common, chronic, and complex disease leading to a decrease in quality of life worldwide. In this study, we applied the approaches of gene set enrichment analysis to a major dental caries GWAS dataset, which consists of 537 cases and 605 controls. Using four complementary gene set analysis methods, we analyzed 1331 Gene Ontology (GO) terms collected from the Molecular Signatures Database (MSigDB). Setting false discovery rate (FDR) threshold as 0.05, we identified 13 significantly associated GO terms. Additionally, 17 terms were further included as marginally associated because they were top ranked by each method, although their FDR is higher than 0.05. In total, we identified 30 promising GO terms, including 'Sphingoid metabolic process,' 'Ubiquitin protein ligase activity,' 'Regulation of cytokine secretion,' and 'Ceramide metabolic process.' These GO terms encompass broad functions that potentially interact and contribute to the oral immune response related to caries development, which have not been reported in the standard single marker based analysis. Collectively, our gene set enrichment analysis provided complementary insights into the molecular mechanisms and polygenic interactions in dental caries, revealing promising association signals that could not be detected through single marker analysis of GWAS data. © 2013 Wang et al

A novel neurotrophic therapeutic strategy for experimental stroke.

Human chorionic gonadotropin (hCG) promotes proliferation of endogenous neural stem cells, and erythropoietin (EPO) promotes differentiation of these cells into neural stem cells. The current study examined effects of sequential administration of these two compounds, initiated 24 h after stroke. At that time, rats were randomized into four treatment groups: hCG+EPO (3 IM doses hCG over 5 days, followed by 3 IV doses EPO over 3 days), hCG+Saline using the same schedule, Saline+EPO using the same schedule, or neither drug (Saline+Saline). The primary endpoint was the composite neurological score, measured 11 times, from 1 h until 12 weeks post-insult. The neurological score was different across treatment groups (p<0.03). Pairwise testing of groups found that the hCG+EPO group had significantly better behavior at 6/10 post-stroke time points as compared to Saline+Saline. The differences observed when comparing the two-drug group with placebo were less apparent when comparing either of the one-drug groups with placebo. The two one-drug treatment arms did not significantly differ at any time point. Treatment with hCG+EPO significantly reduced total lesion volume by 82-89% compared to the other three treatment groups. The current therapeutic strategy improved behavioral outcome and reduced lesion volume with a time window of 24 h after the onset of stroke. The results from these experiments provide new insight into the effects of these two growth factors on stroke in rats, and could suggest a potential for translation into human stroke studies

Case Report: Optimizing Daily Function for People with Below-elbow Limb Deficiency with the SoftHand Pro

Background: Innovation in prosthetic devices for adults with upper limb loss is necessary to meet the demand for effective devices to optimize participation in daily activity. We evaluate the SoftHand Pro (SHP) as a terminal device to determine the application of this biologically-inspired prosthetic hand for use for a person with transradial limb deficiency. Method: This case study describes and measures the first use of the SHP by an individual with transradial limb deficiency in their home environment. This paper reports the features and functionality of the SHP prototype and provides recommendations for changes to further optimize function. Results: The participant found the simple mechanics, durability, and ease of use of the SHP to be beneficial. She praised the SHP’s positive impact on quality of life and suggested areas for optimization. Objective assessments of dexterity and function showed improvements. Conclusion: Using a biologically-inspired myoelectric hand provides an opportunity for intuitively controlled grasp of common large and small objects. The simplicity of use and the lightweight, durable design of the SHP has the potential to provide a positive impact on quality of life, and this case study has provided valuable feedback to further improve the hand and enable larger at-home trials

The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data.

Quantifying, controlling, and monitoring image quality is an essential prerequisite for ensuring the validity and reproducibility of many types of neuroimaging data analyses. Implementation of quality control (QC) procedures is the key to ensuring that neuroimaging data are of high-quality and their validity in the subsequent analyses. We introduce the QC system of the Laboratory of Neuro Imaging (LONI): a web-based system featuring a workflow for the assessment of various modality and contrast brain imaging data. The design allows users to anonymously upload imaging data to the LONI-QC system. It then computes an exhaustive set of QC metrics which aids users to perform a standardized QC by generating a range of scalar and vector statistics. These procedures are performed in parallel using a large compute cluster. Finally, the system offers an automated QC procedure for structural MRI, which can flag each QC metric as being 'good' or 'bad.' Validation using various sets of data acquired from a single scanner and from multiple sites demonstrated the reproducibility of our QC metrics, and the sensitivity and specificity of the proposed Auto QC to 'bad' quality images in comparison to visual inspection. To the best of our knowledge, LONI-QC is the first online QC system that uniquely supports the variety of functionality where we compute numerous QC metrics and perform visual/automated image QC of multi-contrast and multi-modal brain imaging data. The LONI-QC system has been used to assess the quality of large neuroimaging datasets acquired as part of various multi-site studies such as the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Study and the Alzheimer's Disease Neuroimaging Initiative (ADNI). LONI-QC's functionality is freely available to users worldwide and its adoption by imaging researchers is likely to contribute substantially to upholding high standards of brain image data quality and to implementing these standards across the neuroimaging community

Individual phosphatidylinositol transfer proteins have distinct functions that do not involve lipid transfer activity

Platelets utilize signal transduction pathways facilitated by Class I phosphatidylinositol transfer proteins (PITPs). The two mammalian Class I PITPs, PITPα and PITPβ, are single PITP domain soluble proteins that are encoded by different genes and have 77% sequence identity, though their individual roles in mammalian biology remain uncharacterized. These proteins are believed to shuttle phosphatidylinositol and phosphatidylcholine between separate intracellular membrane compartments, thereby regulating phosphoinositide synthesis and second messenger formation. Previously, we observed that platelet-specific deletion of PITPα, the predominant expressed murine PITP isoform, had no effect on hemostasis, but had impaired tumor metastasis formation and disrupted phosphoinositide signaling. Here, we find that mice lacking the lesser expressed PITPβ in their platelets exhibit a similar phenotype. However, in contrast to PITPα-null platelet lysates that have impaired lipid transfer activity, PITPβ-null platelet lysates have essentially normal lipid transfer activity, although both isoforms contribute to phosphoinositide synthesis in vitro. Moreover, we found that platelet-specific deletion of both PITPs leads to ex vivo platelet aggregation/secretion and spreading defects, impaired tail bleeding, and profound tumor dissemination. Our studies also demonstrate that PITP isoforms are required for maintaining endogenous phosphoinositide PI(4,5)P2 levels and agonist stimulated second messenger formation. The data shown here demonstrate that both class I PITP isoforms contribute to phosphoinositide signaling in platelets, likely through distinct biochemical mechanisms or in different subcellular domains. They are functionally overlapping and either single isoform is able to maintain the homeostasis of platelets

Revisiting the SAR of the antischistosomal aryl hydantoin (Ro 13-3978)

The aryl hydantoin 1 (Ro 13-3978) was identified in the early 1980s as a promising antischistosomal lead compound. However, this series of aryl hydantoins produced antiandrogenic side effects in the host, a not unexpected outcome given their close structural similarity to the antiandrogenic drug nilutamide. Building on the known SAR of this compound series, we now describe a number of analogs of 1 designed to maximize structural diversity guided by incorporation of substructures and functional groups known to diminish ligand-androgen receptor interactions. These analogs had calculated polar surface area (PSA), measured LogD7.4, aqueous kinetic solubility, and estimated plasma protein binding values in ranges predictive of good ADME profiles. The principal SAR insight was that the hydantoin core of 1 is required for high antischistosomal activity. We identified several compounds with high antischistosomal efficacy that were less antiandrogenic than 1. These data provide direction for the ongoing optimization of antischistosomal hydantoins

Dysregulated protocadherin-pathway activity as an intrinsic defect in induced pluripotent stem cell-derived cortical interneurons from subjects with schizophrenia.

We generated cortical interneurons (cINs) from induced pluripotent stem cells derived from 14 healthy controls and 14 subjects with schizophrenia. Both healthy control cINs and schizophrenia cINs were authentic, fired spontaneously, received functional excitatory inputs from host neurons, and induced GABA-mediated inhibition in host neurons in vivo. However, schizophrenia cINs had dysregulated expression of protocadherin genes, which lie within documented schizophrenia loci. Mice lacking protocadherin-α showed defective arborization and synaptic density of prefrontal cortex cINs and behavioral abnormalities. Schizophrenia cINs similarly showed defects in synaptic density and arborization that were reversed by inhibitors of protein kinase C, a downstream kinase in the protocadherin pathway. These findings reveal an intrinsic abnormality in schizophrenia cINs in the absence of any circuit-driven pathology. They also demonstrate the utility of homogenous and functional populations of a relevant neuronal subtype for probing pathogenesis mechanisms during development

Adversarial Bipartite Graph Learning for Video Domain Adaptation

Domain adaptation techniques, which focus on adapting models between distributionally different domains, are rarely explored in the video recognition area due to the significant spatial and temporal shifts across the source (i.e. training) and target (i.e. test) domains. As such, recent works on visual domain adaptation which leverage adversarial learning to unify the source and target video representations and strengthen the feature transferability are not highly effective on the videos. To overcome this limitation, in this paper, we learn a domain-agnostic video classifier instead of learning domain-invariant representations, and propose an Adversarial Bipartite Graph (ABG) learning framework which directly models the source-target interactions with a network topology of the bipartite graph. Specifically, the source and target frames are sampled as heterogeneous vertexes while the edges connecting two types of nodes measure the affinity among them. Through message-passing, each vertex aggregates the features from its heterogeneous neighbors, forcing the features coming from the same class to be mixed evenly. Explicitly exposing the video classifier to such cross-domain representations at the training and test stages makes our model less biased to the labeled source data, which in-turn results in achieving a better generalization on the target domain. To further enhance the model capacity and testify the robustness of the proposed architecture on difficult transfer tasks, we extend our model to work in a semi-supervised setting using an additional video-level bipartite graph. Extensive experiments conducted on four benchmarks evidence the effectiveness of the proposed approach over the SOTA methods on the task of video recognition.Comment: Proceedings of the 28th ACM International Conference on Multimedia (MM '20

The First Provenance Challenge

The first Provenance Challenge was set up in order to provide a forum for the community to help understand the capabilities of different provenance systems and the expressiveness of their provenance representations. To this end, a Functional Magnetic Resonance Imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Sixteen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarise the participants contributions