Systemic Bone Mass Alterations and Ligature-Induced Periodontitis in Wistar Rats

Chronic inflammatory conditions have been associated with pathological outcomes, resulting in events responsible for abbreviation of life or decreasing life quality in elders. Periodontal diseases have been associated with systemic disorders, but there is a lack of evidence concerning the relationship between periodontal inflammation and systemic bone conditions. The aim of the present study was to analyze the relationship between ligature-induced periodontitis and generalized bone mass alterations in Wistar rats. Periodontal disease was induced by the placement of silk ligatures around the maxillary left second molar of each animal of the test group (n=14). The control group did not receive ligatures. Systemic bone mass was determined by bone densitometry (double energy X-ray). After 30 and 60 days of ligature placement, bone densitometry analysis did not reveal statistically significant differences between test and control groups both for bone mineral density and bone mineral content (BMC), but at 60 days BMC was slightly lower in the test group. Total bone area was, at 30 days, higher in the test group than in controls. However at 60 days this relationship was inverted, with a higher bone area in the control group. The control group exhibited progressive bone growth, as shown by comparison of BMC between 30 and 60 days; this bone growth was significantly higher than in the test group

A Taxonomy of Explainable Bayesian Networks

Artificial Intelligence (AI), and in particular, the explainability thereof, has gained phenomenal attention over the last few years. Whilst we usually do not question the decision-making process of these systems in situations where only the outcome is of interest, we do however pay close attention when these systems are applied in areas where the decisions directly influence the lives of humans. It is especially noisy and uncertain observations close to the decision boundary which results in predictions which cannot necessarily be explained that may foster mistrust among end-users. This drew attention to AI methods for which the outcomes can be explained. Bayesian networks are probabilistic graphical models that can be used as a tool to manage uncertainty. The probabilistic framework of a Bayesian network allows for explainability in the model, reasoning and evidence. The use of these methods is mostly ad hoc and not as well organised as explainability methods in the wider AI research field. As such, we introduce a taxonomy of explainability in Bayesian networks. We extend the existing categorisation of explainability in the model, reasoning or evidence to include explanation of decisions. The explanations obtained from the explainability methods are illustrated by means of a simple medical diagnostic scenario. The taxonomy introduced in this paper has the potential not only to encourage end-users to efficiently communicate outcomes obtained, but also support their understanding of how and, more importantly, why certain predictions were made

Endothelial Progenitor Cells as a Potential Biomarker in Interstitial Lung Disease Associated with Rheumatoid Arthritis

Interstitial lung disease (ILD) increases morbidity and mortality in patients with rheumatoid arthritis (RA). Although the pathogenesis of ILD associated with RA (RA-ILD(+)) remains poorly defined, vascular tissue is crucial in lung physiology. In this context, endothelial progenitor cells (EPC) are involved in endothelial tissue repair. However, little is known about their implication in RA-ILD(+). Accordingly, we aimed to investigate the potential role of EPC related to endothelial damage in RA-ILD(+). EPC quantification in peripheral blood from 80 individuals (20 RA-ILD(+) patients, 25 RA-ILD(-) patients, 21 idiopathic pulmonary fibrosis (IPF) patients, and 14 healthy controls) was performed by flow cytometry. EPC were considered as CD34(+), CD45(low), CD309(+) and CD133(+). A significant increase in EPC frequency in RA-ILD(+) patients, as well as in RA-ILD(-) and IPF patients, was found when compared with controls (p < 0.001, p = 0.02 and p < 0.001, respectively). RA-ILD(+) patients exhibited a higher EPC frequency than the RA-ILD(-) ones (p = 0.003), but lower than IPF patients (p < 0.001). Our results suggest that EPC increase may represent a reparative compensatory mechanism in patients with RA-ILD(+). The degree of EPC frequency may help to identify the presence of ILD in RA patients and to discriminate RA-ILD(+) from IPF

A Cell Cycle Role for the Epigenetic Factor CTCF-L/BORIS

CTCF is a ubiquitous epigenetic regulator that has been proposed as a master keeper of chromatin organisation. CTCF-like, or BORIS, is thought to antagonise CTCF and has been found in normal testis, ovary and a large variety of tumour cells. The cellular function of BORIS remains intriguing although it might be involved in developmental reprogramming of gene expression patterns. We here unravel the expression of CTCF and BORIS proteins throughout human epidermis. While CTCF is widely distributed within the nucleus, BORIS is confined to the nucleolus and other euchromatin domains. Nascent RNA experiments in primary keratinocytes revealed that endogenous BORIS is present in active transcription sites. Interestingly, BORIS also localises to interphase centrosomes suggesting a role in the cell cycle. Blocking the cell cycle at S phase or mitosis, or causing DNA damage, produced a striking accumulation of BORIS. Consistently, ectopic expression of wild type or GFP- BORIS provoked a higher rate of S phase cells as well as genomic instability by mitosis failure. Furthermore, downregulation of endogenous BORIS by specific shRNAs inhibited both RNA transcription and cell cycle progression. The results altogether suggest a role for BORIS in coordinating S phase events with mitosis

The endocannabinoid system in mental disorders: Evidence from human brain studies

Mental disorders have a high prevalence compared with many other health conditions and are the leading cause of disability worldwide. Several studies performed in the last years support the involvement of the endocannabinoid system in the etiopathogenesis of different mental disorders. The present review will summarize the latest information on the role of the endocannabinoid system in psychiatric disorders, specifically depression, anxiety, and schizophrenia. We will focus on the findings from human brain studies regarding alterations in endocannabinoid levels, cannabinoid receptors and endocannabinoid metabolizing enzymes in patients suffering mental disorders. Studies carried out in humans have consistently demonstrated that the endocannabinoid system is fundamental for emotional homeostasis and cognitive function. Thus, deregulation of the different elements that are part of the endocannabinoid system may contribute to the pathophysiology of several mental disorders. However, the results reported are controversial. In this sense, different alterations in gene and/or protein expression of CB1 receptors have been shown depending on the technical approach used or the brain region studied. Despite the current discrepancies regarding cannabinoid receptors changes in depression and schizophrenia, present findings point to the endocannabinoid system as a pivotal neuromodulatory pathway relevant in the pathophysiology of mental disorders.This study was supported by the Spanish Ministry of Economy and Competitiveness (SAF2015-67457-R, MINECO/FEDER), the Plan Estatal de I+D+i 2013-2016, the Instituto de Salud Carlos III-Subdirección General de Evaluación y Fomento de la Investigación, Spanish Ministry of Economy, FEDER (PI13/01529) and the Basque Government (IT616/13). I I-L is a recipient of a Predoctoral Fellowship from the Basque Government. E F-Z is a recipient of a Predoctoral Fellowship from the University of Cantabria. CM is a recipient of a Postdoctoral Marie Skłodowska-Curie Individual Fellowship (H2020-MSCA-IF-2016, ID 747487)

Riociguat treatment in patients with chronic thromboembolic pulmonary hypertension: Final safety data from the EXPERT registry

Objective: The soluble guanylate cyclase stimulator riociguat is approved for the treatment of adult patients with pulmonary arterial hypertension (PAH) and inoperable or persistent/recurrent chronic thromboembolic pulmonary hypertension (CTEPH) following Phase

Discovery and selection of web services fragments for re-composition

International audienceThe proliferation of web services has led to an increased number of approaches aiming to support service composition, reusing services within larger assemblies. Looking at composition fragments is one way to facilitate composition and reuse, known as macro-level composition. In this work, we focus on the discovery and selection of such fragments to achieve a given composition goal. Our approach aims at discovering fragments using their semantic descriptions based on Description Logic. The discovery is performed by applying different levels of semantic matchmaking between fragments and goals descriptions. A Multi-Agent-System is introduced on top of the discovery process to select the most relevant fragments using three types of criteria: (i) non functional criteria such as execution price (described by service providers), (ii) cohesion criteria related to the overlap between fragments, which is inferred from the fragmentation technique, and also (iii) the goodness of semantic fit between fragments and goals. The selection process is based on an agent negotiation where each agent is responsible for a semantically coherent list of fragments. Finally, we present an approach which minimizes the number of fragments relevant for the composition goal by both (i) minimizing their overlap and (ii) maximizing the number of goals they could achieve