Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle.

The rumen microbiome is the focus of a growing body of research, mostly based on investigation of rumen fluid samples collected once from each animal. Exploring the temporal stability of rumen microbiome profiles is imperative, as it enables evaluating the reliability of findings obtained through single-timepoint sampling. We explored the temporal stability of rumen microbiomes considering taxonomic and functional aspects across the 7-month growing-finishing phase spanning 6 timepoints.

NMDA antagonist agents for the treatment of symptoms in autism spectrum disorder: a systematic review and meta-analysis.

Aims: This systematic review and meta-analysis aimed to assess the efficacy of NMDA antagonists in ASD (Autism Spectrum Disorder) on the core (communication and social interaction, repetitive behavior) and associated symptoms (irritability) of ASD, as well as their safety.

Methods: PubMed, CENTRAL, CINHAL, EMBASE, and PsycINFO databases were searched until November 2023. Two authors independently selected the studies and extracted data.

What was first and what is next in selecting device-aided therapy in Parkinson's disease? Balancing evidence and experience.

Parkinson's disease (PD) progresses with motor fluctuations emerging several years after treatment initiation. Initially managed with oral medications, these fluctuations may later necessitate device-aided therapy (DATs). Globally, various DATs options are available, including continuous subcutaneous apomorphine infusion, deep brain stimulation, levodopa-carbidopa intestinal gel, levodopa-entacapone-carbidopa intestinal gel, and subcutaneous foslevodopa/foscarbidopa infusion, each with its complexities.

[Parkinson's disease: intrinsically palliative care].

Multidimensional, chronic, progressive and incurable, Parkinson's disease is, by definition, a palliative disease, and this from the moment of diagnosis. This vision, relatively new to neurology, calls for a paradigm shift, as well as a dual medical-paramedical and home-hospital alliance. This approach allows us to better understand the specificities of Parkinson's disease and its treatments in terms of palliative issues.

Electrophysiological signatures of anxiety in Parkinson's disease.

Anxiety is a common non-motor symptom in Parkinson's disease (PD) occurring in up to 31% of the patients and affecting their quality of life. Despite the high prevalence, anxiety symptoms in PD are often underdiagnosed and, therefore, undertreated. To date, functional and structural neuroimaging studies have contributed to our understanding of the motor and cognitive symptomatology of PD.

Terminal Care in Parkinson's Disease: Real-Life Use of Continuous Subcutaneous Apomorphine Infusion to Improve Patient Comfort.

Background: There are currently no recommendations on the therapeutic management of Parkinson's disease (PD) patients at the end of life.

Objective: To describe a cohort of patients with PD who benefited from continuous subcutaneous apomorphine infusion (CSAI) initiation at the end of their life as comfort care.

Methods: This real-life cohort includes 14 PD patients, who benefited from 24-h, low-dose CSAI (0.

Lacosamide use during breastfeeding: A case report and a literature review.

Lacosamide, a voltage-gated sodium channel inhibitor, is an anti-seizure medication (ASM) from the age of 4. We report on the case of a woman treated with lacosamide for pharmacoresistant epilepsy who breastfed her infant for more than 6 months after birth. The infant's blood concentrations of lacosamide were 2.

Identification of intestinal and fecal microbial biomarkers using a porcine social stress model.

Understanding the relationships between social stress and the gastrointestinal microbiota, and how they influence host health and performance is expected to have many scientific and commercial implementations in different species, including identification and improvement of challenges to animal welfare and health. In particular, the study of the stress impact on the gastrointestinal microbiota of pigs may be of interest as a model for human health. A porcine stress model based on repeated regrouping and reduced space allowance during the last 4 weeks of the finishing period was developed to identify stress-induced changes in the gut microbiome composition.

Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides.

Mismatch Repair Deficiency (dMMR)/Microsatellite Instability (MSI) is a key biomarker in colorectal cancer (CRC). Universal screening of CRC patients for MSI status is now recommended, but contributes to increased workload for pathologists and delayed therapeutic decisions. Deep learning has the potential to ease dMMR/MSI testing and accelerate oncologist decision making in clinical practice, yet no comprehensive validation of a clinically approved tool has been conducted.

Identification of Parkinson's Disease Subtypes from Resting-State Electroencephalography.

Background: Parkinson's disease (PD) patients present with a heterogeneous clinical phenotype, including motor, cognitive, sleep, and affective disruptions. However, this heterogeneity is often either ignored or assessed using only clinical assessments.

Objectives: We aimed to identify different PD sub-phenotypes in a longitudinal follow-up analysis and their electrophysiological profile based on resting-state electroencephalography (RS-EEG) and to assess their clinical significance over the course of the disease.

Adopting the Rumsfeld approach to understanding the action of levodopa and apomorphine in Parkinson's disease.

Dopaminergic therapies dominate the treatment of the motor and non-motor symptoms of Parkinson's disease (PD) but there have been no major advances in therapy in many decades. Two of the oldest drugs used appear more effective than others-levodopa and apomorphine-but the reasons for this are seldom discussed and this may be one cause for a lack of progress. This short review questions current thinking on drug action and looks at whether adopting the philosophy of ex-US Secretary of State Donald Rumsfeld reveals 'unknown' aspects of the actions of levodopa and apomorphine that provide clues for a way forward.

Different microbial genera drive methane emissions in beef cattle fed with two extreme diets.

The ratio of forage to concentrate in cattle feeding has a major influence on the composition of the microbiota in the rumen and on the mass of methane produced. Using methane measurements and microbiota data from 26 cattle we aimed to investigate the relationships between microbial relative abundances and methane emissions, and identify potential biomarkers, in animals fed two extreme diets - a poor quality fresh cut grass diet (GRASS) or a high concentrate total mixed ration (TMR). Direct comparisons of the effects of such extreme diets on the composition of rumen microbiota have rarely been studied.

Cortical sensory processing across motivational states during goal-directed behavior.

Behavioral states can influence performance of goal-directed sensorimotor tasks. Yet, it is unclear how altered neuronal sensory representations in these states relate to task performance and learning. We trained water-restricted mice in a two-whisker discrimination task to study cortical circuits underlying perceptual decision-making under different levels of thirst.

Microbiome-driven breeding strategy potentially improves beef fatty acid profile benefiting human health and reduces methane emissions.

Background: Healthier ruminant products can be achieved by adequate manipulation of the rumen microbiota to increase the flux of beneficial fatty acids reaching host tissues. Genomic selection to modify the microbiome function provides a permanent and accumulative solution, which may have also favourable consequences in other traits of interest (e.g.

Quantitative Prediction of Adverse Event Probability Due to Pharmacokinetic Interactions.

Introduction: Iatrogeny due to drug-drug interactions is insufficiently documented, due to the high number of possible combinations.

Objective: This study aimed to design a simple but general method to predict the variation of adverse events (AE) frequency due to a pharmacokinetic or pharmacodynamic interaction.

Methods: Three prediction models were designed using a logistic probability density function.

Guillain-Barré Syndrome Associated with COVID-19 Vaccines: A Perspective From Spontaneous Report Data.

Background And Objective: The concern surrounding the association between Guillain-Barré syndrome (GBS) and vaccination has increased with the widespread use of COVID-19 vaccines. The aim of this study was to assess the potential association of GBS with mRNA-based or adenovirus-vectored COVID-19 vaccines.

Methods: Reports of GBS associated with mRNA-based or adenovirus-vectored COVID-19 vaccines were extracted from the WHO pharmacovigilance database, exposure data from the Our World in Data website, and the background rates of GBS from published data.

Functional Brain Dysconnectivity in Parkinson's Disease: A 5-Year Longitudinal Study.

Background: Tracking longitudinal functional brain dysconnectivity in Parkinson's disease (PD) is a key element to decoding the underlying physiopathology and understanding PD progression.

Objectives: The objectives of this follow-up study were to explore, for the first time, the longitudinal changes in the functional brain networks of PD patients over 5 years and to associate them with their cognitive performance and the lateralization of motor symptoms.

Methods: We used a 5-year longitudinal cohort of PD patients (n = 35) who completed motor and non-motor assessments and sequent resting state (RS) high-density electroencephalography (HD-EEG) recordings at three timepoints: baseline (BL), 3 years follow-up (3YFU) and 5 years follow-up (5YFU).