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Leigh, S.-J.

Publications and source records attributed to Leigh, S.-J..

2 recordsLinked to original sources

Sodium Butyrate Rescues Neurodevelopmental Deficits Following Perinatal Methadone Exposure

Prenatal opioid exposure (POE) induces long-term neurodevelopmental, behavioral and cognitive deficits for which no targeted treatments are available. The mechanisms underlying POE deficits are poorly understood, but have been linked to a range of central, peripheral, and enteric nervous system changes. Emerging evidence indicates that maternal microbiota changes may also contribute to these long-term deficits in offspring. Here we test the efficacy of the short-chain fatty acid sodium butyrate (NaB) to mitigate POE-induced deficits in a rat model. Both methadone and sodium butyrate treatments altered dam microbiota composition and function: notably methadone disrupted dam gene expression of microbial enzymes critical for butyric acid production and reduced faecal butyric acid levels. In postnatal day 9 pups, methadone increased gut barrier permeability that was reversed with NaB, and enzymatic disruptions were observed in pups at postnatal day 21 that resolved in adulthood. POE induced anxiety-like behavior in adolescence, and adult deficits in working spatial memory and attentional processing that were partially rescued in rats that had received prenatal NaB. POE was associated with decreased myelination in the hippocampus, and this was partially reversed by NaB. Together these results highlight for the first time the link between the gut-brain axis in animal models of POE. Furthermore, they provide the first indication in a rat model of NaB as a simple yet effective treatment to significantly improve the outcomes of children born with POE.

animal behavior and cognition↗

Kronos: A computational tool to facilitate biological rhythmicity analysis

MotivationCircadian rhythms, or 24-hour biological cycles, are key in maintaining health in almost all living organisms and synchronize important physiological and behavioural processes daily. Interest in circadian rhythm research is expanding as our urban environments have increased exposure to factors that can disrupt the normal physiological rhythm of our body, such as delayed bedtimes, shift work, jet-lag, increased screen-time, and exposure to artificial light. Discovering how oscillatory signals respond to both external and internal factors can lead to important biological breakthroughs, but assessing rhythmicity can be both limited by the complexity of statistical models and demanding in terms of coding and statistical expertise. ImplementationHere, we describe the development of a novel easy-to-use R-based tool, Kronos, to assess circadian rhythms in biological data sets. Kronos provides the user with new functionalities not currently available, including the analysis of two or more groups in complex study designs, handling both independent and repeated-measures data, as well as ranging from single variables to high dimensional omics data sets. Kronos is a novel tool to facilitate the analysis of rhythmicity in simple and complex experimental designs and enables researchers from diverse scientific fields to interrogate rhythmicity. Availabilityhttps://github.com/thomazbastiaanssen/kronos

bioinformatics↗