Publications by authors named "M Baud"

Carp edema virus disease (CEVD) is a severe viral illness that causes substantial economic losses in wild and farmed common carp and koi. It is caused by carp edema virus (CEV), a member of the family whose genetic diversity and genome evolution are poorly understood. Based on a genomic fragment of the gene, two genogroups, genogroup I (gI) and genogroup II (gII), have been identified in samples of different origins.

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For centuries, epileptic seizures have been noticed to recur with temporal regularity, suggesting that an underlying biological rhythm may play a crucial role in their timing. In this review, we propose to adopt the framework of chronobiology to study the circadian timing of seizures. We first review observations made on seizure timing in patients with epilepsy and animal models of the disorder.

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Epilepsy is defined by the abrupt emergence of harmful seizures, but the nature of these regime shifts remains enigmatic. From the perspective of dynamical systems theory, such critical transitions occur upon inconspicuous perturbations in highly interconnected systems and can be modeled as mathematical bifurcations between alternative regimes. The predictability of critical transitions represents a major challenge, but the theory predicts the appearance of subtle dynamical signatures on the verge of instability.

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Article Synopsis
  • Targeted covalent inhibitors (TCIs) usually rely on specific reactive groups, mainly Michael acceptors, which can vary in stability and selectivity in the body.
  • The study introduces a new group called 2-sulfonylpyrimidine as a promising alternative to the commonly used acrylamide warhead found in Ibrutinib for inhibiting Bruton's tyrosine kinase (BTK).
  • The findings suggest that this new warhead not only performs well in terms of inhibition at low concentrations but also shows better stability and less off-target effects, paving the way for further research on its potential in drug development.
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Seizures in people with epilepsy were long thought to occur at random, but recent methods for seizure forecasting enable estimation of the likelihood of seizure occurrence over short horizons. These methods rely on days-long cyclical patterns of brain electrical activity and other physiological variables that determine seizure likelihood and that require measurement through long-term, multimodal recordings. In this retrospective cohort study of 15 adults with bitemporal epilepsy who had a device that provides chronic intracranial recordings, functional connectivity of hippocampal networks fluctuated in multiday cycles with patterns that mirrored cycles of seizure likelihood.

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