Morphometric variations at an ecological scale: Seasonal and local variations in feral and commensal house mice

The time scales of evolutionary and ecological studies tend to converge, as evidenced by studies that have shown contemporary evolution can occur as fast as ecological processes. This opens new questions regarding variation of characters usually considered to change mostly along an evolutionary time scale, such as morphometric traits, including osteological and dental features such as mandibles and teeth of mammals. Using two-dimensional geometric morphometric approach, we questioned whether such features can change on a seasonal and local basis, in relation to the ecological dynamics of the populations. Our model comprised populations of house mice (Mus musculus domesticus) in two contrasted situations in mainland Western Europe: a feral population vs. two close commensal populations. Mitochondrial DNA (D-loop) provided insight into the diversity and dynamics of the populations. The feral population appeared as genetically highly diversified, suggesting a possible functioning as a sink in relation to the surrounding commensal populations. In contrast, commensal populations were highly homogeneous from a genetic point of view, suggesting each population to be isolated. This triggered morphological differentiation between neighboring farms. Seasonal differences in morphometric traits (mandible size and shape and molar size and shape) were significant in both settings, although seasonal variations were greater in the feral than in the commensal population. Seasonal variations in molar size and shape could be attributed to differential wear in young or overwintered populations. Differences in mandible shape could be related to aging in overwintered animals, but also possibly to differing growth conditions depending on the season. The impact of these ecological processes on morphometric traits is moderate compared to divergence over a large biogeographic scale, but their significance nevertheless underlines that even morphological characters may trace populations dynamics at small scale in time and space

dfpk : An R-package for Bayesian dose-finding designs using Pharmacokinetics (PK) for phase I clinical trials

Background and objective Dose-finding, aiming at finding the maximum tolerated dose, and pharmacokinetics studies are the first in human studies in the development process of a new pharmacological treatment. In the literature, to date only few attempts have been made to combine pharmacokinetics and dose-finding and to our knowledge no software implementation is generally available. In previous papers, we proposed several Bayesian adaptive pharmacokinetics-based dose-finding designs in small populations. The objective of this work is to implement these dose-finding methods in an R package, called dfpk. Methods All methods were developed in a sequential Bayesian setting and Bayesian parameter estimation is carried out using the rstan package. All available pharmacokinetics and toxicity data are used to suggest the dose of the next cohort with a constraint regarding the probability of toxicity. Stopping rules are also considered for each method. The ggplot2 package is used to create summary plots of toxicities or concentration curves. Results For all implemented methods, dfpk provides a function (nextDose) to estimate the probability of efficacy and to suggest the dose to give to the next cohort, and a function to run trial simulations to design a trial (nsim). The sim.data function generates at each dose the toxicity value related to a pharmacokinetic measure of exposure, the AUC, with an underlying pharmacokinetic one compartmental model with linear absorption. It is included as an example since similar data-frames can be generated directly by the user and passed to nsim. Conclusion The developed user-friendly R package dfpk, available on the CRAN repository, supports the design of innovative dose-finding studies using PK information

Primary liver cancer is more aggressive in HIV-HCV coinfection than in HCV infection. A prospective study (ANRS CO13 Hepavih and CO12 Cirvir)

OBJECTIVE: Since HAART, primary liver cancer has emerged as an increasing cause of morbidity and mortality in patients with HIV infection. Our aim was to compare characteristics and outcome of primary liver cancer according to HIV status in HCV cirrhotic patients submitted to periodic ultrasonographic surveillance. METHODS: All patients with primary liver cancer and cirrhosis were selected from two prospective cohorts (ANRS CO12 Cirvir, viral cirrhosis, n=1081; ANRS CO13 Hepavih, HIV-HCV coinfection, n=1175). Cirrhosis was diagnosed by liver biopsy in monoHCV group and biopsy and/or non-invasive tests in HIV-HCV group. Ultrasonographic surveillance was performed every 6 months. Diagnosis of primary liver cancer was established according to EASL-AASLD guidelines. RESULTS: Primary liver cancer was diagnosed in 32 patients, 16 in each group, and corresponded to hepatocellular carcinoma in all except for two cholangiocarcinomas in HIV-HCV patients. Ultrasonographic follow-up was similar (median time since last ultrasonographic without focal lesion: 237 days in HIV-HCV group (n=12) versus 208 days in HCV group, NS). At primary liver cancer diagnosis HIV-HCV patients were markedly younger (48 vs. 60 yrs, P<0.001), primary liver cancer was more advanced in HIV-HCV patients (single nodule: 43% vs. 75%, P=0.07; mean diameter of main nodule: 24 vs. 16 mm, P=0.006; portal obstruction: 3 vs. 0). Curative treatment was performed in four HIV-HCV patients versus 11 HCV patients (P=0.017). During follow-up, 10 HIV-HCV patients died versus only one HCV patient (P=0.0005). CONCLUSIONS: This result suggests more aggressiveness for tumors in HIV infected patients and, if confirmed, could result in shortening the length between ultrasonographic examinations