Additionally, the fraction of cancerous tumors with precancerous lesions predicted by the model agree with clinical estimates. The correspondence between model and reported data suggests that the fate of tumor development is majorly determined by the early phase of tumor growth and progression long before a tumor becomes detectable. Due to the focus on the early phase of tumor development, the model has only a single fit parameter, the time scale set by an effective replacement rate of stem cells in the crypt. We find this effective rate to be considerable smaller than the actual replacement rate, which implies that the time scale is limited by the processes succeeding clonal conversion of crypts.Movement of individuals between populations or demes is often restricted, especially between geographically isolated populations. The structured coalescent provides an elegant theoretical framework for describing how movement between populations shapes the genealogical history of sampled individuals and thereby structures genetic variation within and between populations. However, in the presence of recombination an individual may inherit different regions of their genome from different parents, resulting in a mosaic of genealogical histories across the genome, which can be represented by an Ancestral Recombination Graph (ARG). In this case, different genomic regions may have different ancestral histories and so different histories of movement between populations. Recombination therefore poses an additional challenge to phylogeographic methods that aim to reconstruct the movement of individuals from genealogies, although also a potential benefit in that different loci may contain additional information about movement. Here, we introduce the Structured Coalescent with Ancestral Recombination (SCAR) model, which builds on recent approximations to the structured coalescent by incorporating recombination into the ancestry of sampled individuals. The SCAR model allows us to infer how the migration history of sampled individuals varies across the genome from ARGs, and improves estimation of key population genetic parameters such as population sizes, recombination rates and migration rates. Using the SCAR model, we explore the potential and limitations of phylogeographic inference using full ARGs. We then apply the SCAR to lineages of the recombining fungus Aspergillus flavus sampled across the United States to explore patterns of recombination and migration across the genome.
To describe a study protocol for investigating the in vivo dose-response relationship between ambulatory load magnitude and mechanosensitive blood markers of articular cartilage, the influence of age, cartilage tissue health and presence of inflammation on this relationship, and its ability to predict changes in articular cartilage quality and morphology within 2 years.
Prospective experimental multimodal (clinical, biomechanical, biological) data collection under walking stress and three different load conditions varied in a randomized crossover design.
At baseline, equal numbers of healthy and anterior cruciate ligament injured participants aged 20-30 or 40-60 years will be assessed clinically and complete questionnaires regarding their knee health. Biomechanical parameters (joint kinetics, joint kinematics, and surface electromyography) will be recorded while performing different tasks including overground and treadmill walking, single leg balance and hopping tasks. Magnetic resonance images (MRI) ofal ethics committee and has been registered at clinicaltrials.gov (NCT04128566).
The protocol was approved by the regional ethics committee and has been registered at clinicaltrials.gov (NCT04128566).Objective This study aimed to evaluate the acceptability of Dialectical Behavior Therapy (DBT) delivered through telehealth to complex, suicidal patients during the COVID-19 pandemic. Methods We surveyed 163 adult participants enrolled in outpatient services at a private, free-standing DBT clinic certified by the DBT-Linehan Board of Certification for its fidelity to the treatment. Treatment satisfaction was assessed, as well as ease of telehealth over time, differences in satisfaction between patients who had previously experienced face-to-face treatment and those who had only experienced telehealth, patients' beliefs regarding the impact of telehealth on their progress, and preference for face-to-face versus telehealth services. Additionally, participants' reasons for liking and disliking telehealth were reported. Results The average overall satisfaction rating was 82.26 (±18.71) on a 100-point scale. Factors identified as being relevant to satisfaction included increased access to care, saving time and money, and increased comfort participating in therapy from home. Factors identified as relevant to dissatisfaction included feeling less connected to therapists and other patients. The majority of participants reported that telehealth positively impacted or did not impact treatment progress. Satisfaction was significantly related to participants' perception of telehealth's impact on progress in treatment. Demographic variables were also included in the analyses, but were unrelated to satisfaction. Conclusions Findings indicate that, from the point of view of consumer satisfaction, telehealth appears satisfactory for delivery of DBT and may play an increased role in behavioral health care postpandemic.LGI1 is a neuronal secreted protein highly expressed in the hippocampus. Epileptic seizures and LGI1 hypo-functions have been found in both ADLTE, a genetic epileptogenic syndrome and LGI1 limbic encephalitis (LE), an autoimmune disease. Studies, based mainly on transgenic mouse models, investigated the function of LGI1 in the CNS and strangely showed that LGI1 loss of function, led to a decreased AMPA-receptors (AMPA-R) expression. Our project intends at better understanding how an altered function of LGI1 leads to epileptic seizures. To reach our goal, we infused mice with LGI1 IgG purified from the serum of patients diagnozed with LGI1 LE. Super resolution imaging revealed that LGI1 IgG reduced AMPA-R expression at the surface of inhibitory and excitatory neurons only in the dentate gyrus of the hippocampus. Complementary electrophysiological approaches indicated that despite reduced AMPA-R expression, LGI1 IgG increased the global hyperexcitability in the hippocampal neuronal network. Decreased AMPA-R expression at inhibitory neurons and the lack of LGI1 IgG effect in presence of GABA antagonist on excitability, led us to conclude that LGI1 function might be essential for the proper functioning of the overall network and orchestrate the imbalance between inhibition and excitation. Our work suggests that LGI1 IgG reduced the inhibitory network activity more significantly than the excitatory network shedding lights on the essential role of the inhibitory network to trigger epileptic seizures in patients with LGI1 LE.When two influenza viruses co-infect the same cell, they can exchange genome segments in a process known as reassortment. Reassortment is an important source of genetic diversity and is known to have been involved in the emergence of most pandemic influenza strains. However, because of the difficulty in identifying reassortment events from viral sequence data, little is known about their role in the evolution of the seasonal influenza viruses. Here we introduce TreeKnit, a method that infers ancestral reassortment graphs (ARG) from two segment trees. It is based on topological differences between trees, and proceeds in a greedy fashion by finding regions that are compatible in the two trees. Using simulated genealogies with reassortments, we show that TreeKnit performs well in a wide range of settings and that it is as accurate as a more principled bayesian method, while being orders of magnitude faster. Finally, we show that it is possible to use the inferred ARG to better resolve segment trees and to construct more informative visualizations of reassortments.
With the emergence of the COVID-19 pandemic and lockdown approach that was adopted all over the world, conducting assessments while maintaining integrity became a big challenge. This article aims at sharing the experience of conducting an online assessment with the academic community and to assess its effectiveness from both examiners' and students' perspectives.
An online assessment was carried out for the final year medical students of Hawler Medical University/Iraq during the lockdown period of the COVID-19 pandemic, June 2020. Then, an online questionnaire was sent to a sample of 61 examiners and 108 students who have been involved in evaluating the mentioned assessment process. Mann-Whitney and Kruskal-Wallis tests were used to compare the mean ranks of the overall satisfaction scores between categories of the students and examiners. Categorical data were summarized and presented as frequencies and percentages.
The response rates among examiners and students were 69.4% and 88.5% respectively. The majority of the examiners were generally satisfied with the online examination process compared to only around a third of the students. However, both examiners and students agreed that online examination was not suitable for assessing the physical examination skills.
The online assessment can be considered a good alternative and acceptable method for medical students' assessment in unpredicted emergencies, yet it was not applicable in testing physical examination skills.
The online assessment can be considered a good alternative and acceptable method for medical students' assessment in unpredicted emergencies, yet it was not applicable in testing physical examination skills.
Upfront docetaxel or novel hormonal agents (NHA) such as abiraterone and enzalutamide have become the standard of care for metastatic hormone sensitive prostate cancer (mHSPC). We evaluated real-world management of patients treated with these agents at a single center.
Patients with de novo mHSPC treated with upfront docetaxel or an NHA between January 2014 and April 2019 at Mount Sinai Health System were included. We evaluated time to next treatment (TTNT), PSA progression free survival (PFS) and overall survival (OS) after initial treatment with these drugs. Kaplan Meier method and multivariable Cox proportional hazards models were used for analysis. We additionally assessed the prognostic value of post-treatment PSA.
We identified 94 de novo mHSPC patients; 52 and 42 treated with upfront docetaxel and NHAs, respectively. NHAs were associated with a median TTNT of 20.7 months compared to 10.1 months with docetaxel (log-rank p = 0.023). We also observed median PSA PFS of 19 months for NHAs and 13.2 monhan NHAs, reflecting the time-limited nature of docetaxel regimens compared to the treat-till-progression approach of NHAs. https://www.selleckchem.com/products/pf-07220060.html While TTNT was generally longer for NHAs than docetaxel, some docetaxel-treated patients achieved significant periods of time off treatment. In addition, the depth of PSA response following combination treatment may hold prognostic value for mHSPC outcomes.Various stakeholders in science have put research integrity high on their agenda. Among them, research funders are prominently placed to foster research integrity by requiring that the organizations and individual researchers they support make an explicit commitment to research integrity. Moreover, funders need to adopt appropriate research integrity practices themselves. To facilitate this, we recommend that funders develop and implement a Research Integrity Promotion Plan (RIPP). This Consensus View offers a range of examples of how funders are already promoting research integrity, distills 6 core topics that funders should cover in a RIPP, and provides guidelines on how to develop and implement a RIPP. We believe that the 6 core topics we put forward will guide funders towards strengthening research integrity policy in their organization and guide the researchers and research organizations they fund.