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Assessing the impact of a virtual antibiotic team (VAT) on appropriateness of antibiotic prescribing behavior of elderly care physicians, regarding urinary tract (UTI), respiratory tract (RTI), and skin and soft tissue infections (SSTI), in residents of long-term care facilities (LTCF).
Before-after trial; introduction of a VAT consisting of a clinical microbiologist, elderly care physician, and a pharmacist.
Eight LTCFs in Amsterdam, the Netherlands.
The VAT was introduced on April 1, 2019. Meetings were held via weekly teleconferencing. VAT advised about treatment indication, antibiotic choice, and additional diagnostics. Data were retrospectively extracted from resident files regarding infection episodes for which antibiotics had been prescribed during 12months before (period I) and 11months after VAT introduction (period II). Appropriateness of antibiotic prescriptions was assessed using national guidelines and an algorithm developed for antimicrobial stewardship in nursing homes. Antibiotic prescng UTI might need extra strategies.
After implementation of VAT in LTCFs, appropriate antibiotic use increased significantly overall, and for RTI and SSTI particularly. Improving prescribing behavior regarding UTI might need extra strategies.With advances in single-cell techniques, measuring gene dynamics at cellular resolution has become practicable. In contrast, the increased complexity of data has made it more challenging computationally to unravel underlying biological mechanisms. Thus, it is critical to develop novel computational methods capable of dealing with such complexity and of providing predictive deductions from such data. Many methods have been developed to address such challenges, each with its own advantages and limitations. We present an iterative regression algorithm for inferring a mechanistic gene network from single-cell data, especially suited to overcoming problems posed by measurement outliers. Using this regression, we infer a developmental model for the gene dynamics in Drosophila melanogaster blastoderm embryo. Our results show that the predictive power of the inferred model is higher than that of other models inferred with least squares and ridge regressions. As a baseline for how well a mechanistic model should be expected to perform, we find that model predictions of the gene dynamics are more accurate than predictions made with neural networks of varying architectures and complexity. Metabolism agonist This holds true even in the limit of small sample sizes. We compare predictions for various gene knockouts with published experimental results, finding substantial qualitative agreement. We also make predictions for gene dynamics under various gene network perturbations, impossible in non-mechanistic models.Bacterial biofilms are an alternative lifestyle in which communities of bacteria are embedded in an extracellular matrix manly composed by polysaccharides, nucleic acids and proteins, being the hallmark of bacterial survival in a variety of ecological niches. Amyloid fibrils are one of the proteinaceous components of such extracellular crowded environments. link2 FapC is the main component of the functional amyloid recently discovered in Pseudomonas species, including the opportunistic pathogen P. aeruginosa, which is a major cause of nosocomial infections and contamination of medical devices. Considering that several functional roles have been attributed to this bacterial amyloid, FapC emerged as a novel target to control Pseudomonas biofilm formation and to design new treatments against chronic infections. In this study, we used complementary biophysical techniques to evaluate conformational signatures of FapC amyloids formed in the presence of alginate, the major exopolysaccharide associated with the mucoid phenotype of P. aeruginosa strains isolated from cystic fibrosis patients. link3 We found that the this naturally occurring macromolecular crowder leads to morphological similar yet polymorphic FapC fibrils, highlighting the importance of considering the complexity of the extracellular matrix in order to improve our understanding of microbial functional amyloids.
To evaluate the efficacy of botulinum toxin A (BTX-A) for the treatment of plantar fasciitis through a meta-analysis of randomized controlled trials (RCT) focusing on pain and functional outcomes since current literature has supported a potential benefit of BTX-A.
The MEDLINE, EMBASE, Web of Science, and Scopus databases were searched until December 2020 for RCT reporting the effects of BTX-A injections on plantar fasciitis. The complementary literature search included Cochrane Central Register of Controlled Trials and, Clinicaltrials.gov, and greylit.org.
Only RCT assessing the effect of BTX-A injections on either pain, functional improvement, or plantar fascia thickness in patients with plantar fasciitis were included. Multiple researchers carried out the screening process of the 413 records.
Data were extracted independently and in duplicate using a standardized data extraction format. Information was contrasted by a third observer.
BTX-A injections resulted in significant pain relief (MD, -2.07 [95% CI -3.21, -0.93]; p = 0.0004; I2 = 97%) and functional improvement (SMD, 1.15 [95% CI 0.39, 1.91]; p = 0.003; I2 = 87%). A subanalysis indicated that pain relief was sustained at 12 months while functional improvement remained significant after 0-6 months. The results were not affected by a single study after sensitivity analysis. The site of injection and the use or not of ultrasound-guided injections may account for potential sources of inter-study heterogeneity.
This meta-analysis suggests both a statistically significant and a clinically meaningful improvement on plantar fasciitis symptoms after BTX-A treatment.
This meta-analysis suggests both a statistically significant and a clinically meaningful improvement on plantar fasciitis symptoms after BTX-A treatment.We previously reported the precise structure of acidic free-glycans in human urine. In the present study, structural analysis of neutral free-glycans in urine was performed in fine detail. Urine samples were collected from 21 healthy volunteers and free-glycans extracted from the creatinine-adjusted urine and then fluorescently labeled with 2-aminopyridine. Neutral glycan profiling was achieved by a combination of high-performance liquid chromatography, mass spectrometry, enzymatic digestion, and periodate cleavage. A total of 79 glycans were identified. Because the ABO-blood group antigen containing urinary neutral glycans are major components, profiling patterns were similar between individuals of the same ABO-group. The neutral glycans were composed of lactose-core (Galβ1-4Glc) glycans, type-II N-acetyllactosamine-core (GlcNAcβ1-4Glc) glycans, hexose oligomers, N-glycans and to our surprise β1-3 galactosylglucose-core (Galβ1-3Glc) glycans. Although glycans with a β1-3 galactosylglucose-core were identified as major components in urine, comprising structurally simple isomers of a lactose-core, the core structure has not previously been reported. The major β1-3 galactosylglucose-core glycans were Fucα1-2Galβ1-3(Fucα1-4)Glc, GalNAcα1-3(Fucα1-2)Galβ1-3(Fucα1-4)Glc and Galα1-3(Fucα1-2)Galβ1-3(Fucα1-4)Glc, corresponding to H-, A-, and B-blood group antigens, respectively. Three lactosamine extended β1-3 galactosylglucose-core glycans were also detected as minor components. Elucidating the biosynthesis of β1-3 galactosylglucose will be crucial for understanding the in vivo function of these glycans.This study describes LC-ESI-MS/MS method that covers the analysis of various cellular acyl-CoA in a single injection. The method is based on a quick extraction step eliminating LLE/SPE clean up. Method performance characteristics were determined after spiking acyl-CoA standards in different concentrations into a surrogate matrix. The extensive matrix effect for most acyl-CoA except for palmitoyl-CoA was compensated by using isotopically labeled internal standard and matrix-matched calibration. As a result of the high matrix effect, the accuracy for palmitoyl-CoA at the low concentration deviated from the target range of ±20%. The developed method was applied to identify twenty-one cellular acyl-CoA in SK-HEP-1 cells and screening for alterations in acyl-CoA levels post Mito Q antioxidant intervention.
Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue contrast during MRI scans and play a crucial role in the management of patients with cancer. However, studies have shown gadolinium deposition in the brain after repeated GBCA administration with yet unknown clinical significance. We aimed to assess the feasibility and diagnostic value of synthetic post-contrast T1-weighted MRI generated from pre-contrast MRI sequences through deep convolutional neural networks (dCNN) for tumour response assessment in neuro-oncology.
In this multicentre, retrospective cohort study, we used MRI examinations to train and validate a dCNN for synthesising post-contrast T1-weighted sequences from pre-contrast T1-weighted, T2-weighted, and fluid-attenuated inversion recovery sequences. We used MRI scans with availability of these sequences from 775 patients with glioblastoma treated at Heidelberg University Hospital, Heidelberg, Germany (775 MRI examinations); 260 patients who participated in the phase 2rsus true post-contrast T1-weighted MRI (1·799, 95% CI 1·314-2·464, p=0·0003) and model C-index (0·673, 95% CI 0·626-0·711).
Generating synthetic post-contrast T1-weighted MRI from pre-contrast MRI using dCNN is feasible and quantification of the contrast-enhancing tumour burden from synthetic post-contrast T1-weighted MRI allows assessment of the patient's response to treatment with no significant difference by comparison with true post-contrast T1-weighted sequences with administration of GBCAs. This finding could guide the application of dCNN in radiology to potentially reduce the necessity of GBCA administration.
Deutsche Forschungsgemeinschaft.
Deutsche Forschungsgemeinschaft.
Stroke therapy still lacks successful measures to improve post stroke recovery. Neurotrophin-3 (NT-3) is one promising candidate which has proven therapeutic benefit in motor recovery in acute experimental stroke. Post stroke, the immune system has opposing pathophysiological roles pro-inflammatory cascades and immune cell infiltration into the brain exacerbate cell death while the peripheral immune response has only limited capabilities to fight infections during the acute and subacute phase. With time, anti-inflammatory mechanisms are supposed to support recovery of the ischemic damage within the brain parenchyma. However, interestingly, NT-3 can improve recovery in chronic neurological injury when combined with the pro-inflammatory stimulus lipopolysaccharide (LPS).
We elucidated the impact of NT-3 on human monocyte and T cell activation as well as cytokine production ex vivo after stroke. In addition, we investigated the age-dependent availability of the high affinity NT-3 receptor TrkC upon LPS stimucontrols, NT-3 treatment reduced the percentage of monocytes and CD4+ and CD8+ T cells that were activated and reduced all cytokines investigated besides IL-21.
NT-3 attenuated immune responses in cells from stroke patients and controls. The mechanism whereby human immune cells respond to NT-3 may be via TrkC receptors whose levels are regulated by stimulation. Further work is required to determine whether the induction of sensorimotor recovery in rodents by NT-3 after CNS injury is caused by this attenuation of the immune response.
NT-3 attenuated immune responses in cells from stroke patients and controls. The mechanism whereby human immune cells respond to NT-3 may be via TrkC receptors whose levels are regulated by stimulation. Further work is required to determine whether the induction of sensorimotor recovery in rodents by NT-3 after CNS injury is caused by this attenuation of the immune response.
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