1,014 research outputs found

    A morphological algorithm for improving radio-frequency interference detection

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    A technique is described that is used to improve the detection of radio-frequency interference in astronomical radio observatories. It is applied on a two-dimensional interference mask after regular detection in the time-frequency domain with existing techniques. The scale-invariant rank (SIR) operator is defined, which is a one-dimensional mathematical morphology technique that can be used to find adjacent intervals in the time or frequency domain that are likely to be affected by RFI. The technique might also be applicable in other areas in which morphological scale-invariant behaviour is desired, such as source detection. A new algorithm is described, that is shown to perform quite well, has linear time complexity and is fast enough to be applied in modern high resolution observatories. It is used in the default pipeline of the LOFAR observatory.Comment: Accepted for publication in A&

    Prevalence of diabetes, metabolic syndrome and metabolic abnormalities in schizophrenia over the course of the illness: a cross-sectional study

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    BACKGROUND: Patients with schizophrenia are at high risk of developing metabolic abnormalities. METHOD: A prospective study focusing on metabolic disturbances in patients with schizophrenia, including an oral glucose tolerance test, is currently ongoing at our University Hospital and affiliate services. The prevalence of metabolic abnormalities at baseline was assessed in a cohort of 415 patients with schizophrenia. The sample was divided into 4 groups according to duration of illness: first-episode patients (<1.5 years), recent-onset patients (between 1.5 and 10 years), subchronic patients (between 10 and 20 years) and chronic patients (>20 years). RESULTS: Metabolic abnormalities were already present in first-episode patients, and considerably increased with increasing duration of illness. When compared to the general population matched for age and gender, much higher rates of the metabolic syndrome (MetS) and diabetes were observed for patients with schizophrenia. For MetS, the increase over time was similar to that of the general population. In contrast, the difference in the prevalence of diabetes in patients with schizophrenia and the general population dramatically and linearly increased from 1.6% in the 15–25 age-band to 19.2% in the 55–65 age-band. CONCLUSION: Thus, the current data suggest that on the one hand metabolic abnormalities are an inherent part of schizophrenic illness, as they are already present in first-episode patients. On the other hand, however, our results suggest a direct effect of the illness and/or antipsychotic medication on their occurence. The data underscore the need for screening for metabolic abnormalities in patients diagnosed with schizophrenia, already starting from the onset of the illness

    Π’Π°ΠΊΡ‚ΠΈΠΊΠ° лСчСния ΡΡ€Π΅ΠΊΡ‚ΠΈΠ»ΡŒΠ½ΠΎΠΉ дисфункции Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½ Π±Π΅Π· ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€ΡˆΠΈ

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    ΠžΠ±ΠΎΡΠ½ΠΎΠ²Ρ‹Π²Π°Π΅Ρ‚ΡΡ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ оказания ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΌΡƒΠΆΡ‡ΠΈΠ½Π°ΠΌ с ΡΡ€Π΅ΠΊΡ‚ΠΈΠ»ΡŒΠ½ΠΎΠΉ дисфункциСй, Π½Π΅ ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΠΌ ΡΠ΅ΠΊΡΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€ΡˆΠΈ. ΠžΠΏΠΈΡΠ°Π½Ρ‹ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹Π΅ Π°Π²Ρ‚ΠΎΡ€ΠΎΠΌ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ ΠΊΠΎΡ€Ρ€Π΅ΠΊΡ†ΠΈΠΈ Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΡ ΡΠ΅ΠΊΡΡƒΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ Π»Π΅Ρ‡Π΅Π±Π½Ρ‹Π΅ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ.The importance of the issue of rendering the aid to the men with erectile dysfunction who do not have a female partner is substantiated. The author describes the original approaches to correction of the sexual health in the men and therapeutic tactics

    Fc receptor binding of anti-CD3 monoclonal antibodies is not essential for immunosuppression, but triggers cytokine-related side effects

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    A major drawback to the use of OKT3, a mouse anti-CD3 monoclonal antibody (mAb), as an immunosuppressive agent is the associated cytokine release syndrome. We used a mouse model to elucidate the properties of anti-CD3 mAb responsible for these cytokine-related side effects. We have previously demonstrated that the hamster anti-CD3 mAb 145-2C11 induced strong cytokine release and morbidity in vivo, whereas two rat anti-CD3 mAb 17A2 and KT3 did not. In the current study, we show that the mitogenic capacity of soluble anti-CD3 mAb in vitro correlates with their induction of side effects in vivo. Mitogenesis in vitro and tumor necrosis factor-Ξ± (TNF-Ξ±) release in vivo induced by anti-CD3 mAb could be inhibited by the anti-FcΞ³R mAb 2.4G2, indicating that FcΞ³R binding of anti-CD3 mAb is responsible for their mitogenic properties and for their induction of side effects. Importantly, the two non-mitogenic rat anti-CD3 mAb were equally capable of suppressing skin allograft rejection as the mitogenic hamster anti-CD3 mAb, suggesting FcΞ³R binding of anti-CD3 mAb is not essential for their immunosuppressive properties. This suggestion is reinforced by our demonstration that administration of 2.4G2 in vivo did not interfere with immunosuppression of skin allograft rejection by 145-2C11. These findings suggest that clinical use of non-mitogenic anti-CD3 mAb will result in effective immunosuppression without cytokine-related side effects

    Which clinical and biochemical predictors should be used to screen for diabetes in patients with serious mental illness receiving antipsychotic medication? A large observational study

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    Β© 2019 Mitchell et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Objective We aimed to investigate which clinical and metabolic tests offer optimal accuracy and acceptability to help diagnose diabetes among a large sample of people with serious mental illness in receipt of antipsychotic medication. Methods A prospective observational study design of biochemical and clinical factors was used. Biochemical measures were fasting glucose, insulin and lipids, oral glucose tolerance testing (OGTT), hemoglobin A1c, and insulin resistance assessed with the homeostatic model (HOMA-IR) were determined in a consecutive cohort of 798 adult psychiatric inpatients receiving antipsychotics. Clinical variables were gender, age, global assessment of functioning (GAF), mental health clinicians\u27 global impression (CGI), duration of severe mental illness, height, weight, BMI and waist/hip ratio. In addition, we calculated the risk using combined clinical predictors using the Leicester Practice Risk Score (LPRS) and the Topics Diabetes Risk Score (TDRS). Diabetes was defined by older criteria (impaired fasting glucose (IFG) or OGTT) as well as2010 criteria (IFG or OGTT or Glycated haemoglobin (HBA1c)) at conventional cut-offs. Results Using the older criteria, 7.8% had diabetes (men: 6.3%; women: 10.3%). Using the new criteria, 10.2% had diabetes (men: 8.2%, women: 13.2%), representing a 30.7% increase (p = 0.02) in the prevalence of diabetes. Regarding biochemical predictors, conventional OGTT, IFG, and HbA1c thresholds used to identify newly defined diabetes missed 25%, 50% and 75% of people with diabetes, respectively. The conventional HBA1c cut-point of β‰₯6.5% (48 mmol/mol) missed 7 of 10 newly defined cases of diabetes while a cut-point of β‰₯5.7% improved sensitivity from 44.4% to up to 85%. Specific algorithm approaches offered reasonable accuracy. Unfortunately no single clinical factor was able to accurately rule-in a diagnosis of diabetes. Three clinical factors were able to rule-out diabetes with good accuracy namely: BMI, waist/hip ratio and height. A BMI \u3c 30 had a 92% negative predictive value in ruling-out diabetes. Of those not diabetic, 20% had a BMI β‰₯ 30. However, for complete diagnosis a specific biochemical protocol is still necessary. Conclusions Patients with SMI maintained on antipsychotic medication cannot be reliably screened for diabetes using clinical variables alone. Accurate assessment requires a two-step algorithm consisting of HBA1c β‰₯5.7% followed by both FG and OGTT which does not require all patients to have OGTT and FG

    Gut bacterial deamination of residual levodopa medication for Parkinson's disease

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    BACKGROUND: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by both motor and non-motor symptoms. Gastrointestinal tract dysfunction is one of the non-motor features, where constipation is reported as the most common gastrointestinal symptom. Aromatic bacterial metabolites are attracting considerable attention due to their impact on gut homeostasis and host's physiology. In particular, Clostridium sporogenes is a key contributor to the production of these bioactive metabolites in the human gut. RESULTS: Here, we show that C. sporogenes deaminates levodopa, the main treatment in Parkinson's disease, and identify the aromatic aminotransferase responsible for the initiation of the deamination pathway. The deaminated metabolite from levodopa, 3-(3,4-dihydroxyphenyl)propionic acid, elicits an inhibitory effect on ileal motility in an ex vivo model. We detected 3-(3,4-dihydroxyphenyl)propionic acid in fecal samples of Parkinson's disease patients on levodopa medication and found that this metabolite is actively produced by the gut microbiota in those stool samples. CONCLUSIONS: Levodopa is deaminated by the gut bacterium C. sporogenes producing a metabolite that inhibits ileal motility ex vivo. Overall, this study underpins the importance of the metabolic pathways of the gut microbiome involved in drug metabolism not only to preserve drug effectiveness, but also to avoid potential side effects of bacterial breakdown products of the unabsorbed residue of medication

    Incident somatic comorbidity after psychosis: Results from a retrospective cohort study based on Flemish general practice data

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    Background: Psychotic conditions and especially schizophrenia, have been associated with increased morbidity and mortality. Many studies are performed in specialized settings with a strong focus on schizophrenia. Somatic comorbidity after psychosis is studied, using a general practice comorbidity registration network. Methods. Hazard ratios are presented resulting from frailty models to assess the risk of subsequent somatic disease after a diagnosis of psychosis compared to people without psychosis matched on practice, age and gender. Diseases studied are cancer, physical trauma, diabetes mellitus, gastrointestinal disorders, joint disorders, irritable bowel syndrome, general infections, metabolic disorders other than diabetes, hearing and vision problems, anemia, cardiovascular disease, alcohol abuse, lung disorders, mouth and teeth problems, sexually transmitted diseases. Results: Significant higher risks after a diagnosis of psychosis were found for the emergence of diabetes, physical trauma, gastrointestinal disorders, alcohol abuse, chronic lung disease and teeth and mouth problems. With regard to diabetes, by including the type of antipsychotic medication it is clear that the significant overall effect was largely due to the use of atypical antipsychotic medication. No significant higher risk was seen for cancer, joint conditions, irritable bowel syndrome, general infections, other metabolic conditions, hearing/vision problems, anaemia, cardiovascular disease or diabetes, in case no atypical antipsychotic medication was used. Conclusion: Significantly higher morbidity rates for some somatic conditions in patients with psychosis are apparent. People with a diagnosis of psychosis benefit from regular assessments for the emergence of somatic disorders and risk factors, including diabetes in case of atypical antipsychotic medication
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