Histopathology of the synovial tissue : perspectives for biomarker development in chronic inflammatory arthritides

The histopathological and molecular analysis of the synovial tissue has contributed to fundamental advances in our comprehension of arthritis pathogenesis and of the mechanisms of action of currently available treatments. On the other hand, its exploitation in clinical practice for diagnostic or prognostic purposes as well as for the prediction of treatment response to specific disease-modifying anti-rheumatic drugs is still limited. In this review, we present an overview of recent advances in the field of synovial tissue research with specific reference to the methods for synovial tissue collection, approaches to synovial tissue analysis and current perspectives for the exploitation of synovial tissue-derived biomarkers in chronic inflammatory arthritides

Insights into Online microRNA Bioinformatics Tools

MicroRNAs (miRNAs) are members of the small non-coding RNA family regulating gene expression at the post-transcriptional level. MiRNAs have been found to have critical roles in various biological and pathological processes. Research in this field has significantly progressed, with increased recognition of the importance of miRNA regulation. As a result of the vast data and information available regarding miRNAs, numerous online tools have emerged to address various biological questions related to their function and influence across essential cellular processes. This review includes a brief introduction to available resources for an investigation covering aspects such as miRNA sequences, target prediction/validation, miRNAs associated with disease, pathway analysis and genetic variants within miRNAs

Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control

Advanced Human-In-The-Loop (HITL) control strategies for robot hands based on surface electromyography (sEMG) are among major research questions in robotics. Due to intrinsic complexity and inaccuracy of labeling procedures, unsupervised regression of sEMG signals has been employed in literature, however showing several limitations in realizing multiple grasping motion control. In this letter, we propose a novel Human-Robot interface (HRi) based on self-supervised regression of sEMG signals, combining Non-Negative Matrix Factorization (NMF) with Deep Neural Networks (DNN) in order to both avoid explicit labeling procedures and have powerful nonlinear fitting capabilities. Experiments involving 10 healthy subjects were carried out, consisting of an offline session for systematic evaluations and comparisons with traditional unsupervised approaches, and an online session for assessing real-time control of a wearable anthropomorphic robot hand. The offline results demonstrate that the proposed self-supervised regression approach overcame traditional unsupervised methods, even considering different robot hands with dissimilar kinematic structures. Furthermore, the subjects were able to successfully perform online control of multiple grasping motions of a real wearable robot hand, reporting for high reliability over repeated grasp-transportation-release tasks with different objects. Statistical support is provided along with experimental outcomes

Legionnaires' disease in Italy: results of the epidemiological surveillance from 2000 to 2011

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Effect of range enrichment on performance, behavior, and forage intake of free-range chickens

SUMMARY The aim of the present study was to analyze the effect of range enrichment (trees or tall grass stand) on the performance and herbage intake of free-range chicken. This trial was conducted in 2 different seasons (winter and summer) comparing a standard free-range system with 2 kinds of range enrichment: a stand of sorghum (a tall grass) and olive trees. Two hundred fifty male naked neck chickens were used in each season and system; performance, behavior, forage intake, and body lesions were recorded. Productive performance was not affected by range enrichment. However, in the presence of trees or tall grass stand, no predation losses were experienced; whereas, in the standard paddock, cases of predation by raptors or crows were registered, mainly during the first period of rearing. Consequently, mortality rate was significantly lower in the enriched environment. Control chickens stayed indoors more rather than forage in the pasture, whereas, in enriched environments, birds spent more time outdoors and widely exploited the available pasture. Forage intake was significantly influenced by rearing system and season; chickens reared under olive trees had higher herbage ingestion, exploring the available area up to almost 50 m from the hut. With the olive trees, chickens also showed the lowest frequency of foot and breast damage

Thrombotic thrombocytopenic purpura and autoimmunity: a tale of shadows and suspects

Background and Objective, The key pathogenic feature of TTP is the formation of platelet aggregates within the microcirculation; however, the etiology of such aggregates has been elusive for years. A large amount of evidence points to an abnormal interaction between damaged vascular endothelium and platelets, although the cause of the primary microvascular endothelial cell injury is seldom clear. The autoimmune hypothesis often recurs, and this is based on a number of observations: the claimed superiority of plasma-exchange over plasma infusion, the anecdotal report of the presence of immunocomplexes and autoantibodies in TTP patients, the efficacy of the administration of corticosteroids and other immunosuppressant agents, and the concomitant occurrence of TTP in association with autoimmune diseases, especially systemic lupus erythematosus (SLE). This review will focus on the complex relationships between TTP and humoral autoimmunity; in particular, similarities and differences between TTP, SLE and antiphospholipid (aPL) antibodies syndrome, as well as the putative role of several other antibodies directed towards endothelial cells and/or platelets, including the recently discovered anti-CD36 antibodies and antivWF-cleaving metalloprotease, will be discussed. Design and Methods. The authors have been Involved in the study and treatment of TTP and autoimmune diseases for years; furthermore, the PubMed data base of the National Library of Congress has been extensively searched using the Internet. Conclusions. Although over the years evidence has increased in favor of the autoimmune hypothesis for TTP etiopathogenesis, TTP should not yet be considered an autoimmune disease. Autoantibodies should be regarded as only one of the many different insults which can trigger microvascular thrombosis even though the autoimmune theory of the pathogenesis of TTP is gaining more and more strength. As far as concerns the relationship between TTP, SLE and aPL antibodies-related disorders, these diseases should be distinguished on the basis of both different clinical presentations and accurate antibody screening, although this approach should definitely not delay the prompt start of treatment