125 research outputs found

    Effects of add-on ultramicronized n-palmitol ethanol amide in patients suffering of migraine with aura. a pilot study

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    Background: Palmitoyl ethanol amide (PEA) is an endogenously produced substance showing anti-nociceptive effect through both receptor and non-receptor mediated effects at the level of different cellular and tissue sites. This study showed the results of a single blind study that was conducted to evaluate both the safety and the efficacy of ultramicronized PEA (umPEA; 1,200 mg/day) for up 90 days in patients suffering of Migraine with Aura (MA) treated with NSAIDs. Methods: A total of 20 patients, 8 male (33-56-years, average 41.4 ± 7.8) and 12 female (19-61-years, average 38.5 ± 11.9) with MA were admitted to our observation and diagnosed according to ICHD-3 criteria, they received umPEA (1,200 mg/day) in combination with NSAIDs for up to 90 days. They were revaluated at 30, 60, and 90 days after treatment. Results: umPEA administration induced a statistically significant and time dependent pain relief. In particular, these effects were evident at 60 days (male P = 0.01189; female P = < 0.01) and they lasted until the end of the study (male P = 0.0066; female P = 0.01473). Conclusion: Although further studies are needed, our findings indicate that in patients suffering of MA treatment with umPEA had good efficacy and safety which candidate this compound as a therapeutic tool in pain migraine management

    Omalizumab decreases exacerbation frequency, oral intake of corticosteroids and peripheral blood eosinophils in atopic patients with uncontrolled asthma.

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    Omalizumab is a humanized monoclonal anti-IgE antibody approved in 2005 by the European Medicine Agency (EMA) for the treatment of severe persistent allergic asthma, which remains inadequately controlled despite optimal therapy with high doses of inhaled corticosteroids and long-acting β2-adrenergic agonists. Within this context, the present observational study refers to 16 patients currently treated with omalizumab at the Respiratory Unit of "Magna Græcia" University Hospital located in Catanzaro, Italy, whose anti- IgE therapy was started in the period included between March 2007 and February 2010, thus lasting at least 10 months. After 40 weeks of add-on treatment with omalizumab, very relevant decreases were detected, in comparison with pre-treatment mean (± standard deviation) values, in monthly exacerbation numbers (from 1.1 ± 0.6 to 0.2 ± 0.4; p < 0.01) and oral corticosteroid consumption (from 22.6 ± 5.0 to 1.2 ± 2.9 mg/day of prednisone; p < 0.01). These changes were associated with stable improvements in lung function, expressed as increases of both FEV1 (from 53.6 ± 14.6% to 77.0 ± 14.9% of predicted values; p < 0.01) and FEV1/FVC ratio (from 56.3 ± 9.5% to 65.8 ± 9.2%; p < 0.01). Moreover, in 5 patients who persistently had increased numbers of eosinophils (mean ± SD: 15.9 ± 8.0% of total WBC count; absolute number: 1,588.0 ± 956.9/μl) despite a long-lasting therapy with inhaled and systemic corticosteroids, the peripheral counts of these cells decreased down to near normal levels (mean ± SD: 6.3 ± 2.3% of total WBC count; absolute number: 462.0 ± 262.3/μl) after 16 weeks of treatment with omalizumab. Therefore, this descriptive evaluation confirms the efficacy of add-on omalizumab therapy in selected patients with exacerbation-prone, chronic allergic uncontrolled asthma, requiring a continuous intake of oral corticosteroids

    Effects of the satiety signal oleoylethanolamide on binge-like food consumption in female rats

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    Several lines of evidence document the association between eating disorders and modern lifestyle, encompassing calorie-rich diets and psychological stress. Binge-eating disorder (BED) is a eating disorder characterized by excessive consumption of food in a short period of time, along with loss of control and psychological distress. Among the networks that partake in the neurobiological bases of BED a large body of evidence supports the activation of the hypothalamic-pituitary-adrenal stress (HPA) axis. Pharmacological treatments for BED are limited thus highlighting the need to identify novel targets that could lead to the development of more effective therapies. A large body of evidence has accumulated on the role played by the lipid signal oleoylethanolamide (OEA) as a pharmacological target for controlling aberrant eating disorders. As a drug, OEA reduces food intake and body weight gain in laboratory rodents by inducing a state of satiety. Additionaly, OEA dampens the hyperactivity of the HPA axis and ameliorates the effects of stress. On the bases of these premises, in the present study we investigated the effects of OEA on high palatable food (HPF) intake in a rat model of BED. Moreover, we assessed the impact of OEA on the corticotropin-releasing factor (CRF) system which plays a critical role in stress and on the oxytocinergic system which is crucial in mediating the pro-satiety effect of OEA. We used female rats with a history of intermittent food restriction which show binge-like palatable food consumption after the exposure to a “frustration stress”. On the test day, we either exposed or did not expose the rats to the sight of the palatable food (frustration stress) before assessing food consumption. OEA was administered at three different doses (2.5, 5, 10 mg/kg i.p.) and HPF intake was monitored over 2h. After the behavioural experiment brains were collected and in-situ hybridization experiment was performed to analyse CRF and oxytocin mRNA expression in selected brain areas. Our results demonstrate that OEA (10 mg/kg) was able to selectively prevent binge eating; the antibinge effect was accompained by a reduction of CRF mRNA within the central-amygdala. Finally, in keeping with our previous observations we found that the antibinge effect of OEA was accompanied by a significant increase of oxytocin mRNA at hypothalamic level. In the current study, we provide for the first time evidence to support that the endogenous fatty-gut lipid OEA exerts a selective inhibitory effects on binge-like eating behavior in female rats, supporting the hypothesis that OEA might represent a novel potential pharmacological target for the treatment of aberrant eating patterns

    Artificial Intelligence Can Guide Antibiotic Choice in Recurrent UTIs and Become an Important Aid to Improve Antimicrobial Stewardship

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    Background: A correct approach to recurrent urinary tract infections (rUTIs) is an important pillar of antimicrobial stewardship. We aim to define an Artificial Neural Network (ANN) for predicting the clinical efficacy of the empiric antimicrobial treatment in women with rUTIs. Methods: We extracted clinical and microbiological data from 1043 women. We trained an ANN on 725 patients and validated it on 318. Results: The ANN showed a sensitivity of 87.8% and specificity of 97.3% in predicting the clinical efficacy of empirical therapy. The previous use of fluoroquinolones (HR = 4.23; p = 0.008) and cephalosporins (HR = 2.81; p = 0.003) as well as the presence of Escherichia coli with resistance against cotrimoxazole (HR = 3.54; p = 0.001) have been identified as the most important variables affecting the ANN output decision predicting the fluoroquinolones-based therapy failure. A previous isolation of Escherichia coli with resistance against fosfomycin (HR = 2.67; p = 0.001) and amoxicillin-clavulanic acid (HR = 1.94; p = 0.001) seems to be the most influential variable affecting the output decision predicting the cephalosporins- and cotrimoxazole-based therapy failure. The previously mentioned Escherichia coli with resistance against cotrimoxazole (HR = 2.35; p < 0.001) and amoxicillin-clavulanic acid (HR = 3.41; p = 0.007) seems to be the most influential variable affecting the output decision predicting the fosfomycin-based therapy failure. Conclusions: ANNs seem to be an interesting tool to guide the antimicrobial choice in the management of rUTIs at the point of care

    Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review

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    Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions. Recently, to facilitate early identification and diagnosis, efforts have been made in the research and development of new wearable devices to make them smaller, more comfortable, more accurate, and increasingly compatible with artificial intelligence technologies. These efforts can pave the way to the longer and continuous health monitoring of different biosignals, including the real-time detection of diseases, thus providing more timely and accurate predictions of health events that can drastically improve the healthcare management of patients. Most recent reviews focus on a specific category of disease, the use of artificial intelligence in 12-lead electrocardiograms, or on wearable technology. However, we present recent advances in the use of electrocardiogram signals acquired with wearable devices or from publicly available databases and the analysis of such signals with artificial intelligence methods to detect and predict diseases. As expected, most of the available research focuses on heart diseases, sleep apnea, and other emerging areas, such as mental stress. From a methodological point of view, although traditional statistical methods and machine learning are still widely used, we observe an increasing use of more advanced deep learning methods, specifically architectures that can handle the complexity of biosignal data. These deep learning methods typically include convolutional and recurrent neural networks. Moreover, when proposing new artificial intelligence methods, we observe that the prevalent choice is to use publicly available databases rather than collecting new data

    Oleoylethanolamide decreases frustration stress-induced binge-like eating in female rats: a novel potential treatment for binge-eating disorder

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    Binge-eating disorder (BED) is the most frequent eating disorder, for which current pharmacotherapies show poor response rates and safety concerns, thus highlighting the need for novel treatment options. The lipid-derived messenger oleoylethanolamide (OEA) acts as a satiety signal inhibiting food intake through the involvement of central noradrenergic and oxytocinergic neurons. We investigated the anti-binge effects of OEA in a rat model of binge-like eating, in which, after cycles of intermittent food restrictions/refeeding and palatable food consumptions, female rats show a binge-like intake of palatable food, following a 15-min exposure to their sight and smell (“frustration stress”). Systemically administered OEA dose-dependently (2.5, 5, and 10 mg kg–1) prevented binge-like eating. This behavioral effect was associated with a decreased activation (measured by mapping the expression of c-fos, an early gene widely used as a marker of cellular activation) of brain areas responding to stress (such as the nucleus accumbens and amygdala) and to a stimulation of areas involved in the control of food intake, such as the VTA and the PVN. These effects were paralleled, also, to the modulation of monoamine transmission in key brain areas involved in both homeostatic and hedonic control of eating. In particular, a decreased dopaminergic response to stress was observed by measuring dopamine extracellular concentrations in microdialysates from the nucleus accumbens shell, whereas an increased serotonergic and noradrenergic tone was detected in tissue homogenates of selected brain areas. Finally, a decrease in corticotropin-releasing factor (CRF) mRNA levels was induced by OEA in the central amygdala, while an increase in oxytocin mRNA levels was induced in the PVN. The restoration of a normal oxytocin receptor density in the striatum paralleled the oxytocinergic stimulation produced by OEA. In conclusion, we provide evidence suggesting that OEA might represent a novel potential pharmacological target for the treatment of binge-like eating behavior

    A Novel Role of Peripheral Corticotropin-Releasing Hormone (CRH) on Dermal Fibroblasts

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    Corticotropin-releasing hormone, or factor, (CRH or CRF) exerts important biological effects in multiple peripheral tissues via paracrine/autocrine actions. The aim of our study was to assess the effects of endogenous CRH in the biology of mouse and human skin fibroblasts, the primary cell type involved in wound healing. We show expression of CRH and its receptors in primary fibroblasts, and we demonstrate the functionality of fibroblast CRH receptors by induction of cAMP. Fibroblasts genetically deficient in Crh (Crh−/−) had higher proliferation and migration rates and compromised production of IL-6 and TGF-β1 compared to the wildtype (Crh+/+) cells. Human primary cultures of foreskin fibroblasts exposed to the CRF1 antagonist antalarmin recapitulated the findings in the Crh−/− cells, exhibiting altered proliferative and migratory behavior and suppressed production of IL-6. In conclusion, our findings show an important role of fibroblast-expressed CRH in the proliferation, migration, and cytokine production of these cells, processes associated with the skin response to injury. Our data suggest that the immunomodulatory effects of CRH may include an important, albeit not explored yet, role in epidermal tissue remodeling and regeneration and maintenance of tissue homeostasis

    A narrative review of the potential pharmacological influence and safety of ibuprofen on coronavirus disease 19 (COVID-19), ACE2, and the immune system: a dichotomy of expectation and reality

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    The coronavirus disease 19 (COVID-19) pandemic is currently the most acute healthcare challenge in the world. Despite growing knowledge of the nature of Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2), treatment options are still poorly defined. The safety of non-steroidal anti-inflammatory drugs (NSAIDs), specifically ibuprofen, has been openly questioned without any supporting evidence or clarity over dose, duration, or temporality of administration. This has been further conflicted by the initiation of studies to assess the efficacy of ibuprofen in improving outcomes in severe COVID-19 patients. To clarify the scientific reality, a literature search was conducted alongside considerations of the pharmacological properties of ibuprofen in order to construct this narrative review. The literature suggests that double-blind, placebo-controlled study results must be reported and carefully analysed for safety and efficacy in patients with COVID-19 before any recommendations can be made regarding the use of ibuprofen in such patients. Limited studies have suggested: (i) no direct interactions between ibuprofen and SARS-CoV-2 and (ii) there is no evidence to suggest ibuprofen affects the regulation of angiotensin-converting-enzyme 2 (ACE2), the receptor for COVID-19, in human studies. Furthermore, in vitro studies suggest ibuprofen may facilitate cleavage of ACE2 from the membrane, preventing membrane-dependent viral entry into the cell, the clinical significance of which is uncertain. Additionally, in vitro evidence suggests that inhibition of the transcription factor nuclear factor-κB (NF-kB) by ibuprofen may have a role in reducing excess inflammation or cytokine release in COVID-19 patients. Finally, there is no evidence that ibuprofen will aggravate or increase the chance of infection of COVID-19
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