Does fire influence the landscape-scale distribution of an invasive mesopredator?

Predation and fire shape the structure and function of ecosystems globally. However, studies exploring interactions between these two processes are rare, especially at large spatial scales. This knowledge gap is significant not only for ecological theory, but also in an applied context, because it limits the ability of landscape managers to predict the outcomes of manipulating fire and predators. We examined the influence of fire on the occurrence of an introduced and widespread mesopredator, the red fox (Vulpes vulpes), in semi-arid Australia. We used two extensive and complimentary datasets collected at two spatial scales. At the landscape-scale, we surveyed red foxes using sand-plots within 28 study landscapes - which incorporated variation in the diversity and proportional extent of fire-age classes - located across a 104 000 km2 study area. At the site-scale, we surveyed red foxes using camera traps at 108 sites stratified along a century-long post-fire chronosequence (0-105 years) within a 6630 km2 study area. Red foxes were widespread both at the landscape and site-scale. Fire did not influence fox distribution at either spatial scale, nor did other environmental variables that we measured. Our results show that red foxes exploit a broad range of environmental conditions within semi-arid Australia. The presence of red foxes throughout much of the landscape is likely to have significant implications for native fauna, particularly in recently burnt habitats where reduced cover may increase prey species\u27 predation risk

Borrelia burgdorferi infection in a natural population of Peromyscus leucopus mice: A longitudinal study in an area where lyme borreliosis is highly endemic

Blood samples from Peromyscus leucopus mice captured at an enzootic site in Connecticut were examined for antibodies to and DNA of Borrelia burgdorferi, to characterize the dynamics of infection in this reservoir population. From trappings conducted over the course of 2 transmission seasons, 598 (75%) of 801 serum samples from 514 mice were found to be positive by enzyme immunoassay. Seropositivity correlated with date of capture and mouse age, was similar among locations within the site, increased from 57% to 93% over the course of the transmission season, and was associated with antibodies to outer surface protein (Osp) C, but not to OspA. Longitudinal samples from 184 mice revealed an incidence of 0.2 cases/mouse/week. Nineteen (10%) of 187 samples were found by polymerase chain reaction to be positive for B. burgdorferi, and, of those, 14 (74%) were found to be seropositive. Nearly the entire population of P. leucopus mice became infected with B. burgdorferi by late August, coinciding with the peak activity period of host-seeking larvae uninfected with the spirochete Ixodes scapularis, thereby perpetuating the agent through succeeding generations of ticks.Centro de Estudios Parasitológicos y de VectoresFacultad de Ciencias Naturales y Muse

Borrelia burgdorferi infection in a natural population of Peromyscus leucopus mice: A longitudinal study in an area where lyme borreliosis is highly endemic

Blood samples from Peromyscus leucopus mice captured at an enzootic site in Connecticut were examined for antibodies to and DNA of Borrelia burgdorferi, to characterize the dynamics of infection in this reservoir population. From trappings conducted over the course of 2 transmission seasons, 598 (75%) of 801 serum samples from 514 mice were found to be positive by enzyme immunoassay. Seropositivity correlated with date of capture and mouse age, was similar among locations within the site, increased from 57% to 93% over the course of the transmission season, and was associated with antibodies to outer surface protein (Osp) C, but not to OspA. Longitudinal samples from 184 mice revealed an incidence of 0.2 cases/mouse/week. Nineteen (10%) of 187 samples were found by polymerase chain reaction to be positive for B. burgdorferi, and, of those, 14 (74%) were found to be seropositive. Nearly the entire population of P. leucopus mice became infected with B. burgdorferi by late August, coinciding with the peak activity period of host-seeking larvae uninfected with the spirochete Ixodes scapularis, thereby perpetuating the agent through succeeding generations of ticks.Centro de Estudios Parasitológicos y de VectoresFacultad de Ciencias Naturales y Muse

All the Brain\u27s a Stage for Serotonin: The Forgotten Story of Serotonin Diffusion across Cell Membranes

In the conventional model of serotonin neurotransmission, serotonin released by neurons in the midbrain raphe nuclei exerts its actions on forebrain neurons by interacting with a large family of post-synaptic receptors. The actions of serotonin are terminated by active transport of serotonin back into the releasing neuron, which is mediated by the serotonin reuptake transporter (SERT). Because SERT is expressed pre-synaptically and is widely thought to be the only serotonin transporter in the forebrain, the conventional model does not include serotonin transport into post-synaptic neurons. However, a large body of evidence accumulating since the 1970s has shown that serotonin, despite having a positive charge, can cross cell membranes through a diffusion-like process. Multiple low-affinity, high-capacity, sodium-independent transporters, widely expressed in the brain, allow the carrier-mediated diffusion of serotonin into forebrain neurons. The amount of serotonin crossing cell membranes through this mechanism under physiological conditions is considerable. Most prominent textbooks fail to include this alternative method of serotonin uptake in the brain, and even most neuroscientists are unaware of it. This failure has limited our understanding of a key regulator of serotonergic neurotransmission, impeded research on the potential intracellular actions of serotonin in post-synaptic neurons and glial cells, and may have impeded our understanding of the mechanism by which antidepressant medications reduce depressive symptoms

STEM through Authentic Research and Training Program (START) for Underrepresented Communities: Adapting to the COVID-19 Pandemic

The STEM Through Authentic Research and Training (START) Program is a new program integrating academic, social, and professional experiences, in the theme of exomedicine, to build a pipeline into college for first generation and traditionally underrepresented students by providing year-round authentic opportunities and professional development for high school students and teachers. In response to the COVID-19 pandemic, the START Program has worked with the local Fayette County public school and community partners to provide content to over 300 students through: virtual laboratory tours with community partner Space Tango, meet a scientist discussions, and online near-peer student demonstrations aimed at making the practice of STEM disciplines approachable. Furthermore, the START Program has partnered with Higher Orbits to provide at-home, space-themed learning kits for students to develop teamwork, communication, and STEM principles while engaging in online content with teachers, professionals, and astronauts. Finally, the START Program has moved its training platforms online, including receiving College Reading and Learning Association (CRLA) Peer Educator accreditation for our near-peer mentoring and coaching training. As a result, the START Program is better positioned to address this critical need in STEM education, while reaching more students in the community than possible with face-to-face interactions alone

Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.

Colorectal cancer screening reduces colorectal cancer incidence and mortality. Risk models based on phenotypic variables have relatively good discrimination in external validation and may improve efficiency of screening. Models incorporating genetic variables may perform better. In this review, we updated our previous review by searching Medline and EMBASE from the end date of that review (January 2014) to February 2019 to identify models incorporating at least one SNP and applicable to asymptomatic individuals in the general population. We identified 23 new models, giving a total of 29. Of those in which the SNP selection was on the basis of published genome-wide association studies, in external or split-sample validation the AUROC was 0.56 to 0.57 for models that included SNPs alone, 0.61 to 0.63 for SNPs in combination with other risk factors, and 0.56 to 0.70 when age was included. Calibration was only reported for four. The addition of SNPs to other risk factors increases discrimination by 0.01 to 0.06. Public health modeling studies suggest that, if determined by risk models, the range of starting ages for screening would be several years greater than using family history alone. Further validation and calibration studies are needed alongside modeling studies to assess the population-level impact of introducing genetic risk-based screening programs

Access To Essential Maternal Health Interventions and Human Rights Violations among Vulnerable Communities in Eastern Burma

Luke Mullany and colleagues examine access to essential maternal health interventions and human rights violations within vulnerable communities in eastern Burma

In Vivo Role of Neutrophil Extracellular Traps in Antiphospholipid Antibody–Mediated Venous Thrombosis

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136296/1/art39938_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136296/2/art39938.pd

External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank.

The aim of this study was to compare and externally validate risk scores developed to predict incident colorectal cancer that include common genetic variants (SNPs), with or without established lifestyle/environmental (questionnaire-based/classical/phenotypic) risk factors. We externally validated 23 risk models from a previous systematic review in 443,888 participants ages 37 to 73 from the UK Biobank cohort who had 6-year prospective follow-up, no prior history of colorectal cancer, and data for incidence of colorectal cancer through linkage to national cancer registries. There were 2,679 (0.6%) cases of incident colorectal cancer. We assessed model discrimination using the area under the operating characteristic curve (AUC) and relative risk calibration. The AUC of models including only SNPs increased with the number of included SNPs and was similar in men and women: the model by Huyghe with 120 SNPs had the highest AUC of 0.62 [95% confidence interval (CI), 0.59-0.64] in women and 0.64 (95% CI, 0.61-0.66) in men. Adding phenotypic risk factors without age improved discrimination in men but not in women. Adding phenotypic risk factors and age increased discrimination in all cases (P < 0.05), with the best performing models including SNPs, phenotypic risk factors, and age having AUCs between 0.64 and 0.67 in women and 0.67 and 0.71 in men. Relative risk calibration varied substantially across the models. Among middle-aged people in the UK, existing polygenic risk scores discriminate moderately well between those who do and do not develop colorectal cancer over 6 years. Consideration should be given to exploring the feasibility of incorporating genetic and lifestyle/environmental information in any future stratified colorectal cancer screening program