Freshwater mussels are declining globally, and effective conservation requires prioritizing research and actions to identify and mitigate threats impacting mussel species. Conservation priorities vary widely, ranging from preventing imminent extinction to maintaining abundant populations. Here, we develop a portfolio of priority research topics for freshwater mussel conservation assessment. To address these topics, we group research priorities into two categories: intrinsic or extrinsic factors. Intrinsic factors are indicators of organismal or population status, while extrinsic factors encompass environmental variables and threats. An understanding of intrinsic factors is useful in monitoring, and of extrinsic factors are important to understand ongoing and potential impacts on conservation status. This dual approach can guide conservation status assessments prior to the establishment of priority species and implementation of conservation management actions.
Cannabinoid receptors type 2 (CB2) represent a target with increasing importance for neuroimaging due to its upregulation under various pathological conditions. Encouraged by preliminary results obtained with [(11)C](Z)-N-(3-(2-methoxyethyl)-4,5-dimethylthiazol-2(3H)-ylidene)-2,2,3,3-tetramethyl-cyclopropanecarboxamide ([(11)C]A-836339, [(11)C]1) in a mouse model of acute neuroinflammation (induced by lipopolysaccharide, LPS), we designed a library of fluorinated analogues aiming for an [(18)F]-labeled radiotracer with improved CB2 binding affinity and selectivity. Compound (Z)-N-(3-(4-fluorobutyl)-4,5-dimethylthiazol-2(3H)-ylidene)-2,2,3,3-tetramethyl-cyclopropanecarboxamide (29) was selected as the ligand with the highest CB2 affinity (Ki = 0.39 nM) and selectivity over those of CB1 (factor of 1000). [(18)F]29 was prepared starting from the bromo precursor (53). Specific binding was shown in vitro, whereas fast metabolism was observed in vivo in CD-1 mice. Animal PET revealed a brain uptake comparable to that of [(11)C]1. In the LPS-treated mice, a 20-30% higher uptake in brain was found in comparison to that in nontreated mice (n = 3, P < 0.05).
BACKGROUND: Frailty is a geriatric syndrome thought to identify the most vulnerable older adults, and morbidity and mortality has been reported to be higher for frail patients after cardiac surgery compared to nonfrail patients. However, the cognitive consequences of frailty after cardiac surgery have not been well described. In this study, we examined the hypothesis that baseline frailty would be associated with postoperative delirium and cognitive change at 1 and 12 months after cardiac surgery. METHODS: This study was nested in 2 trials, each of which was conducted by the same research team with identical measurement of exposures and outcomes. Before surgery, patients were assessed with the validated “Fried” frailty scale, which evaluates 5 domains (shrinking, weakness, exhaustion, low physical activity, and slowed walking speed) and classifies patients as nonfrail, prefrail, and frail. The primary outcome was postoperative delirium during hospitalization, which was assessed using the Confusion Assessment Method, Confusion Assessment Method for the Intensive Care Unit, and validated chart review. Neuropsychological testing was a secondary outcome and was generally performed within 2 weeks of surgery and then 4–6 weeks and 1 year after surgery, and the outcome of interest was change in composite Z-score of the test battery. Associations were analyzed using logistic and linear regression models, with adjustment for variables considered a priori (age, gender, race, education, and logistic European System for Cardiac Operative Risk Evaluation). Multiple imputation was used to account for missing data at the 12-month follow-up. RESULTS: Data were available from 133 patients with baseline frailty assessments. Compared to nonfrail patients (13% delirium incidence), the incidence of delirium was higher in prefrail (48% delirium incidence; risk difference, 35%; 95% CI, 10%–51%) and frail patients (48% delirium incidence; risk difference, 35%; 95% CI, 7%–53%). In both univariable and multivariable models, the odds of delirium were significantly higher for prefrail (adjusted odds ratio, 6.43; 95% CI, 1.31–31.64; P = .02) and frail patients (adjusted odds ratio, 6.31; 95% CI, 1.18–33.74; P = .03) compared to nonfrail patients. The adjusted decline in composite cognitive Z-score was greater from baseline to 1 month only in frail patients compared to nonfrail patients. By 1 year after surgery, there were no differences in the association of baseline frailty with change in cognition. CONCLUSIONS: Compared to nonfrail patients, both prefrail and frail patients were at higher risk for the primary outcome of delirium after cardiac surgery. Frail patients were also at higher risk for the secondary outcome of greater decline in cognition from baseline to 1 month, but not baseline to 1 year, after surgery.
Summary Type I interferon (IFN) medications cause various adverse reactions, including vascular diseases. Although an association between chemokines and vascular diseases has also been reported, the relationship between type I IFN and chemokines in vascular endothelial cells (VEC) remains unclear. To provide clues to pathogenesis of the diseases, we analysed the effects of type I IFN on chemokine production in human VEC. Type I IFN induced higher CX3CL1 (fractalkine) mRNA expression and protein secretion in pulmonary arterial VEC than in umbilical vein VEC. Type I IFN also induced CCL5 [regulated upon activation normal T cell expressed and secreted (RANTES)] production in VEC, especially in lung micro‐VEC. IFN‐β induced much higher chemokine production than IFN‐α, and Janus protein tyrosine kinase (JAK) inhibitor I prevented type I IFN‐induced chemokine secretion. Type I IFN‐induced chemokines may be involved in the pathophysiology of pulmonary vascular diseases, and the JAK inhibitor may serve as a therapeutic option for these diseases.
Anthropogenic freshwater habitats may provide undervalued prospects for long‐term conservation as part of species conservation planning. This fundamental, but overlooked, issue requires attention considering the pace that humans have been altering natural freshwater ecosystems and the accelerated levels of biodiversity decline in recent decades. We compiled 709 records of freshwater mussels (Bivalvia, Unionida) inhabiting a broad variety of anthropogenic habitat types (from small ponds to large reservoirs and canals) and reviewed their importance as refuges for this faunal group. Most records came from Europe and North America, with a clear dominance of canals and reservoirs. The dataset covered 228 species, including 34 threatened species on the IUCN Red List. We discuss the conservation importance and provide guidance on how these anthropogenic habitats could be managed to provide optimal conservation value to freshwater mussels. This review also shows that some of these habitats may function as ecological traps owing to conflicting management practices or because they act as a sink for some populations. Therefore, anthropogenic habitats should not be seen as a panacea to resolve conservation problems. More information is necessary to better understand the trade‐offs between human use and the conservation of freshwater mussels (and other biota) within anthropogenic habitats, given the low number of quantitative studies and the strong biogeographic knowledge bias that persists.
Monitoring cerebral autoregulation (CA) may help identify the lower limit of autoregulation (LLA) in individual patients. Mean arterial blood pressure (MAP) below LLA appears to be a risk factor for postoperative acute kidney injury (AKI). CA can be monitored in real-time using correlation approaches. However, the precise thresholds for different CA indexes that identify the LLA are unknown. We identified thresholds for intact autoregulation in patients during cardiopulmonary bypass surgery and examined the relevance of these thresholds to postoperative AKI.
Design: A single-center retrospective analysisSetting: Tertiary academic medical center Patients. Data from 59 patients was used to determine precise CA thresholds for identification of the LLA. These thresholds were validated in a larger cohort of 226 patients.
Methods and Main Results:Invasive MAP, cerebral blood flow velocities (CBFV), regional cortical oxygen saturation and total hemoglobin were recorded simultaneously. Three CA indices were calculated, including mean flow index (Mx), cerebral oximetry index (COx), and hemoglobin volume index (HVx). CA curves for the three indices were plotted, and thresholds for each index were used to generate threshold-and index-specific LLAs. A reference LLA could be identified in 59 patients by plotting CBFV against MAP to generate gold standard Lassen curves. The LLAs defined at each threshold were compared with the gold standard LLA determined from Lassen curves. The results identified the following thresholds: Mx (0.45), COx (0.35), and HVx (0.3). We then calculated the product of magnitude and duration of MAP < LLA in a larger cohort of 226 patients. When using the LLAs identified by the optimal thresholds above, MAP
Objective: To investigate the predictors of acute kidney injury (AKI) following surgery for abdominal aortic aneurysm.Materials and Methods: Subjects were 642 non-hemodialysis patients (open aortic repair [OAR] group, n=453; endovascular aortic repair [EVAR] group, n=189) who underwent elective surgery between 2009 and 2015. AKI was assessed according to the Kidney Disease Improving Global Outcomes criteria. In-hospital mortality and incidence of AKI were compared between the OAR and EVAR groups. The effect of AKI on outcomes and predictors of AKI were examined in both groups.Results: In-hospital mortalities were 0.7% (3/453) in the OAR group and 0.5% (1/189) in the EVAR group. The incidence of AKI increased in the OAR group (14.1% vs. 3.7%, P<0.01). In the OAR group, in-hospital mortality (0% vs. 4.7%, P<0.01) increased in patients with AKI. In the OAR group, hemoglobin level <10 g/dL, estimated glomerular filtration rate <60 mL/min/1.73 m2, operation time >300 min, history of ischemic heart disease, and amount of bleeding >1,000 mL were predictors of AKI. In the EVAR group, amount of transfusion>1,000 mL was a predictor of AKI, but AKI was not found to worsen outcomes.Conclusion: AKI affected outcomes of OAR. Knowledge of predictors may optimize perioperative care.
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