Use of Neem oil and Hypericum perforatum for treatment of calcinosis-related skin ulcers in systemic sclerosis.

Objective This study evaluated Neem oil and Hypericum perforatum (Holoil®) for treatment of scleroderma skin ulcers related to calcinosis (SU-calc). Procedure: We retrospectively analyzed 21 consecutive systemic sclerosis (SSc) patients with a total of 33 SU-calcs treated daily with Holoil® cream compared with a control group of 20 patients with 26 SU-calcs. Holoil® was directly applied to skin lesions, while the control group received only standard medication. Results Application of Holoil® either resulted in crushing and complete resolution of calcium deposits or facilitated sharp excision of calcinosis during wound care sessions in 27/33 cases (81.8%). Complete healing of SU-calc occurred in 15/33 (45%) of cases within a time period of 40.1 ± 16.3 (mean ± SD) days, while 18/33 (55%) of lesions improved in terms of size, erythema, fibrin and calcium deposits. Patients reported a reduction of pain (mean numeric rating scale 7.3 ± 1.9 at baseline versus 2.9 ± 1.4 at follow-up) The control group had longer healing times and a higher percentage of infections. Conclusions The efficacy of local treatment with neem oil and Hypericum perforatum suggest that Holoil® could be a promising tool in the management of SSc SU-calc

Thu0349 autologous fat grafting in the treatment of patients with systemic sclerosis: current experience and future prospects

none13nomixedSpinella, Amelia; Pignatti, Marco; Citriniti, Giorgia; Lumetti, Federica; Cocchiara, Emanuele; Palermo, Adalgisa; Sighinolfi, Gianluca; Pacchioni, Lucrezia; Zaccaria, Giovanna; Lusetti, Irene Laura; Santis, Giorgio De; Salvarani, Carlo; Giuggioli, DiliaSpinella, Amelia; Pignatti, Marco; Citriniti, Giorgia; Lumetti, Federica; Cocchiara, Emanuele; Palermo, Adalgisa; Sighinolfi, Gianluca; Pacchioni, Lucrezia; Zaccaria, Giovanna; Lusetti, Irene Laura; Santis, Giorgio De; Salvarani, Carlo; Giuggioli, Dili

Sci Rep.

Overweight and obesity have been shown to significantly affect brain structures and size. Obesity has been associated with cerebral atrophy, alteration of brain functions, including cognitive impairement, and psychiatric diseases such as depression. Given the importance of lipids in the structure of the brain, here, by using 47 mice fed a high fat diet (HFD) with 60% calories from fat (40% saturated fatty acids) and 20% calories from carbohydrates and age-matched control animals on a normal chow diet, we examined the effects of HFD and diet-induced obesity on the brain lipidome. Using a targeted liquid chromatography mass spectrometry analysis and a non-targeted mass spectrometry MALDI imaging approach, we show that the relative concentration of most lipids, in particular brain phospholipids, is modified by diet-induced obesity (+ 40%of body weight). Use of a non-targeted MALDI-MS imaging approach further allowed define cerebral regions of interest (ROI) involved in eating behavior and changes in their lipid profile. Principal component analysis (PCA) of the obese/chow lipidome revealed persistence of some of the changes in the brain lipidome of obese animals even after their switch to chow feeding and associated weight loss. Altogether, these data reveal that HFD feeding rapidly modifies the murine brain lipidome. Some of these HFD-induced changes persist even after weight loss, implying that some brain sequelae caused by diet-induced obesity are irreversible.Bordeaux Region Aquitaine Initiative for NeuroscienceDissection des mécanismes hypothalamiques impliqués dans la détection du statut nutritionnel et régulation de la prise alimentaire via les interactions entre mTORC1, les mélanocortines et les endocannabinoïdes.La signalisation des acides biliaires dans le cerveau et son rôle dans le contrôle métaboliqueRôle du récepteur aux cannabinoïdes de type 1 mitochondriale dans les circuits hypothalamiques et son interaction avec la voie mTORC1 dans l'obésité.Innovations instrumentales et procédurales en psychopathologie expérimentale chez le rongeu

Fatigue limits of titanium-bar joints made with the laser and the electric resistance welding techniques: Microstructural characterization and hardness properties

Fatigue behavior of the titanium bars is of utmost importance for the safe and reliable operation of dental implants and prosthetic constructions based on these implants. To date, however, only few data are available on the fatigue strength of dental prostheses made with electric resistance welding and laser welding techniques. This in-vitro study highlighted that although the joints made with the laser welding approach are credited of a superior tensile strength, joints made with electric resistance welding exhibited double the minimum fatigue strength with respect to the joints made with laser welding (120 vs 60 N)

Microstructural characterization and hardness properties of electric resistance welding titanium joints for dental applications

The electric resistance welding procedure is used to join a titanium bar with specific implant abutments in order to produce a framework directly in the oral cavity of the patient. This investigation studied the effects of the welding process on microstructure and hardness properties of commercially pure (CP2 and CP4) Ti components. Different welding powers and cooling procedures were applied to bars and abutments, normally used to produce the framework, in order to simulate the clinical intraoral welding procedure. The analyses highlighted that the joining process did not induce appreciable changes in the geometry of the abutments. However, because of unavoidable microstructural modifications in the welded zones, the hardness decreased to values lower than those of the unwelded CP2 and CP4 Ti grades, irrespective of the welding environments and parameters

A Paradigmatic Interplay between Human Cytomegalovirus and Host Immune System: Possible Involvement of Viral Antigen-Driven CD8+ T Cell Responses in Systemic Sclerosis

Human cytomegalovirus (HCMV) is a highly prevalent opportunistic agent in the world population, which persists as a latent virus after a primary infection. Besides the well-established role of this agent causing severe diseases in immunocompromised individuals, more recently, HCMV has been evoked as a possible factor contributing to the pathogenesis of autoimmune diseases such as systemic sclerosis (SSc). The interplay between HCMV and immune surveillance is supposed to become unbalanced in SSc patients with expanded anti-HCMV immune responses, which are likely involved in the exacerbation of inflammatory processes. In this study, blood samples from a cohort of SSc patients vs. healthy subjects were tested for anti-HCMV immune responses (IgM, IgG antibodies, and T cells to peptide pools spanning the most immunogenic HCMV proteins). Statistically significant increase of HCMV-specific CD8+ T cell responses in SSc patients vs. healthy subjects was observed. Moreover, significantly greater HCMV-specific CD8+ T cell responses were found in SSc patients with a longer disease duration and those with higher modified Rodnan skin scores. Given the known importance of T cells in the development of SSc and that this virus may contribute to chronic inflammatory diseases, these data support a relevant role of HCMV-specific CD8+ T cell responses in SSc pathogenesis

Insights into the knowledge of complex diseases: Environmental infectious/toxic agents as potential etiopathogenetic factors of systemic sclerosis

Systemic sclerosis (SSc) is a connective tissue disease secondary to three cardinal pathological features: immunesystem alterations, diffuse microangiopathy, and fibrosis involving the skin and internal organs. The etiology of SSc remains quite obscure; it may encompass multiple host genetic and environmental -infectious/chemicalfactors. The present review focused on the potential role of environmental agents in the etiopathogenesis of SSc based on epidemiological, clinical, and laboratory investigations previously published in the world literature. Among infectious agents, some viruses that may persist and reactivate in infected individuals, namely human cytomegalovirus (HCMV), human herpesvirus-6 (HHV-6), and parvovirus B19 (B19V), and retroviruses have been proposed as potential causative agents of SSc. These viruses share a number of biological activities and consequent pathological alterations, such as endothelial dysfunction and/or fibroblast activation. Moreover, the acute worsening of pre-existing interstitial lung involvement observed in SSc patients with symptomatic SARS-CoV-2 infection might suggest a potential role of this virus in the overall disease outcome. A variety of chemical/occupational agents might be regarded as putative etiological factors of SSc. In this setting, the SSc complicating silica dust exposure represents one of the most promising models of study. Considering the complexity of SSc pathogenesis, none of suggested causative factors may explain the appearance of the whole SSc; it is likely that the disease is the result of a multifactorial and multistep pathogenetic process. A variable combination of potential etiological factors may modulate the appearance of different clinical phenotypes detectable in individual scleroderma patients. The in-deep investigations on the SSc etiopathogenesis may provide useful insights in the broad field of human diseases characterized by diffuse microangiopathy or altered fibrogenesis

A Machine Learning Approach to Predict Weight Change in ART-Experienced People Living with HIV

Introduction:The objective of the study was to develop machine learning (ML) models that predict the percentage weight change in each interval of time in antiretroviral therapy-experienced people living with HIV.Methods:This was an observational study that comprised consecutive people living with HIV attending Modena HIV Metabolic Clinic with at least 2 visits. Data were partitioned in an 80/20 training/test set to generate 10 progressively parsimonious predictive ML models. Weight gain was defined as any weight change &gt;5%, at the next visit. SHapley Additive exPlanations values were used to quantify the positive or negative impact of any single variable included in each model on the predicted weight changes.Results:A total of 3,321 patients generated 18,322 observations. At the last observation, the median age was 50 years and 69% patients were male. Model 1 (the only 1 including body composition assessed with dual-energy x-ray absorptiometry) had an accuracy greater than 90%. This model could predict weight at the next visit with an error of &lt;5%.Conclusions:ML models with the inclusion of body composition and metabolic and endocrinological variables had an excellent performance. The parsimonious models available in standard clinical evaluation are insufficient to obtain reliable prediction, but are good enough to predict who will not experience weight gain.</p