Binding of bacteria to poly (N-isopropylacrylamide) modified with vancomycin: Comparison of behavior of linear and highly branched polymers

YesThe behavior of a linear copolymer of N-isopropyl acrylamide with pendant vancomycin functionality was compared to an analogous highly branched copolymer with vancomycin functionality at the chain ends. Highly branched poly(N-isopropylacrylamide) modified with vancomycin (HB-PNIPAM-van) was synthesized by functionalization of the HB-PNIPAM, prepared using reversible addition-fragmentation chain transfer polymerization. Linear PNIPAM with pendant vancomycin functionality (L-PNIPAM-van) was synthesized by functionalization of poly(N-isopropyl acrylamide-co-vinyl benzoic acid). HB-PNIPAM-van aggregated S. aureus effectively whereas the L-PNIPAM-van polymer did not. It was found that when the HB-PNIPAM-van was incubated with S. aureus the resultant phase transition provided an increase in the intensity of fluorescence of a solvatochromic dye, nile red, added to the system. In contrast, a significantly lower increase in fluorescence intensity was obtained when L-PNIPAM-van was incubated with S. aureus. These data showed that the degree of desolvation of HB-PNIPAM-van was much greater than the desolvation of the linear version. Using microCalorimetry it was shown that there were no significant differences in the affinities of the polymer ligands for D-Ala-D-Ala and therefore differences in the interactions with bacteria were associated with changes in the probability of access of the polymer bound ligands to the D-Ala-D-Ala dipeptide. The data support the hypothesis that generation of polymer systems that respond to cellular targets, for applications such as cell targeting, detection of pathogens etc., requires the use of branched polymers with ligands situated at the chain ends.MR

Draft genomes of 12 Bifidobacterium isolates from human IBD fecal samples

Twelv

Effectiveness and safety of vedolizumab in inflammatory bowel disease patients aged 60 and over: an observational multicenter UK experience.

BACKGROUND: The GEMINI trials established the efficacy of vedolizumab in moderate-to-severe inflammatory bowel disease (IBD) and demonstrated a favorable safety profile, suggesting it may be advantageous in older patients at greater risk of treatment-related complications. However, there is a paucity of data exploring the outcomes of vedolizumab in this group. Our objective was to determine the clinical effectiveness and safety of vedolizumab in older IBD patients within a real-world multicenter UK cohort. METHODS: A retrospective review of electronic records across 6 UK hospitals was undertaken to evaluate the clinical effectiveness and safety outcomes of vedolizumab in IBD patients aged ≥60 at start of therapy. Rates of clinical response, remission and corticosteroid-free remission were assessed at weeks 14 and 52, using validated clinical indices, and were compared to historical controls from real-world vedolizumab-treated cohorts unstratified by age. RESULTS: Of 74 patients aged 60 years or above (median 66 years), 48 were included in our effectiveness analysis (29 ulcerative colitis, 19 Crohn's disease). Rates of clinical response, remission and corticosteroid-free remission at week 14 were 64%, 48% and 30%, respectively. By week 52, the rates of clinical response, remission, and corticosteroid-free remission were 52%, 38%, and 32%, respectively. Six (8%) patients experienced adverse effects. Effectiveness and safety outcomes were comparable to those of age-unstratified vedolizumab-treated cohorts. CONCLUSION: Our 1-year outcome data suggests that vedolizumab is safe and effective in older IBD patients and broadly comparable to cohorts unselected by age

The comparative effects of mGlu5 receptor positive allosteric modulators VU0409551 and VU0360172 on cognitive deficits and signalling in the sub-chronic PCP rat model for schizophrenia

The metabotropic glutamate receptor mGlu5 has been implicated in the neuropathology of several debilitating disorders. In schizophrenia, mGlu5 receptor hypofunction has been linked with neuropathology and cognitive deficits, making it an attractive therapeutic target. The cognitive impairment associated with schizophrenia remains an unmet clinical need, with existing antipsychotics primarily targeting positive symptoms and failing to induce consistent, substantial improvements in cognition, thus providing incomplete treatment. Using the sub-chronic phencyclidine (scPCP) rat model, widely shown to mimic the cognitive impairment and neuropathology of schizophrenia, we have investigated two mGlu5 receptor positive allosteric modulators (PAMs), VU0409551 and VU0360172. We compared the efficacy of these compounds in restoring cognitive deficits and, since these two PAMs have reportedly distinct signalling mechanisms, changes in mGlu5 receptor signalling molecules AKT and MAPK in the prefrontal cortex. Although not effective at 0.05 and 1mg/kg, cognitive deficits were significantly alleviated by both PAMs at 10 and 20 mg/kg. The compounds appeared to have differential effects on the scPCP-induced increases in AKT and MAPK phosphorylation: VU0409551 induced a significant decrease in expression of p-AKT, whereas VU0360172 had this effect on p-MAPK levels. Thus, the beneficial effects of PAMs on scPCP-induced cognitive impairment are accompanied by at least partial reversal of scPCP-induced elevated levels of p-MAPK and p-AKT, dysfunction of which is strongly implicated in schizophrenia pathology. These promising data imply an important role for mGlu5 receptor signalling pathways in improving cognition in the scPCP model and provide support for mGlu5 receptor PAMs as a possible therapeutic intervention for schizophrenia

Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere

For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions. Next, we use estimated connectivity proportions along with eBird occurrence probabilities to produce probabilistic least-cost path (LCP) indices. In a final step, we use generalized additive mixed models (GAMMs) both to evaluate the ability of LCP indices to accurately predict (i.e., as a covariate) observed locations derived from tracking and band re-encounter data sets versus pseudo-absence locations during migratory periods and to create a fully integrated (i.e., eBird occurrence, LCP, and tracking/band re-encounter data) spatial prediction index for mapping species-specific seasonal migrations. To illustrate this approach, we apply this framework to describe seasonal migrations of 12 bird species across the Western Hemisphere during pre- and postbreeding migratory periods (i.e., spring and fall, respectively). We found that including LCP indices with eBird occurrence in GAMMs generally improved the ability to accurately predict observed migratory locations compared to models with eBird occurrence alone. Using three performance metrics, the eBird + LCP model demonstrated equivalent or superior fit relative to the eBird-only model for 22 of 24 species–season GAMMs. In particular, the integrated index filled in spatial gaps for species with over-water movements and those that migrated over land where there were few eBird sightings and, thus, low predictive ability of eBird occurrence probabilities (e.g., Amazonian rainforest in South America). This methodology of combining individual-based seasonal movement data with temporally dynamic species distribution models provides a comprehensive approach to integrating multiple data types to describe broad-scale spatial patterns of animal movement. Further development and customization of this approach will continue to advance knowledge about the full annual cycle and conservation of migratory birds