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Muhlematter, C.

Publications and source records attributed to Muhlematter, C..

2 recordsLinked to original sources

Stool Dynamics and the Developing Gut Microbiome During Infancy

The infant gut microbiome is a dynamic ecosystem that plays a crucial role in early development, influences immune system maturation, and overall health. Recent insights reveal that the gut microbiota undergoes changes across the 24-h day, raising the possibility that it may act as "zeitgeber", helping to regulate the hosts sleep-wake organisation. Despite its importance, timing factors influencing microbiome composition are poorly understood, limiting its use as a health predictor. This study investigates the relationship between stool dynamics (interval since last defecation, collection time of the sample), sleep pressure (interval since last sleep), meal timing and the composition of the gut microbiome. Stool samples from 198 healthy infants, aged 3 to 31 months, were analysed to assess microbial diversity, richness evenness, and abundance. Our findings reveal that longer intervals since the last bowel movement are associated with increased microbial diversity, evenness, and richness. Stool timing is associated with shifts in microbial composition, especially in younger infants, indicating that diurnal microbial fluctuations may become more stable as infants mature. We found that longer periods of wakefulness were associated with increased microbial diversity in early infancy, although this effect appeared to diminish with age. Feeding schedules appeared to have a limited effect on the gut microbiome. Longer fasting before sampling showed no significant associations with most microbial parameters, except for a positive association with microbial richness. At the phylum level, results indicate that infant gut microbial composition is influenced by behaviour and physiology. Longer intervals between bowel movements were associated with shifts in bacterial abundance, with Proteobacteria decreasing and Actinobacteria increasing. Stool timing and meal timing also affected microbial diversity: later sampling times showed higher Actinobacteria levels, and longer fasting was associated with reduced Bacteroidetes. Sleep pressure showed a trend effect with Firmicutes displaying a slight decrease in infants who had been awake longer. Our findings underscore the importance of time-based factors on infant gut microbiome composition.

systems biology↗

Tracing infant sleep neurophysiology longitudinally from 3 to 6 months: EEG insights into brain development

1.Sleep is critical for brain plasticity during early development, yet the individual maturation of sleep neurophysiology in infancy remains poorly characterized. In particular, slow wave activity (SWA) has emerged as a key marker of both cortical maturation and experience-dependent plasticity. Understanding the regional dynamics of sleep neurophysiology early in life could yield critical insights into neurodevelopmental health. We conducted a longitudinal high-density EEG study in 11 healthy infants (3-6 months) assessing non-rapid eye movement (NREM) sleep. We analyzed the maturation of SWA (0.75-4.25 Hz), theta power (4.5-7.5 Hz), and sigma power (9.75-14.75 Hz) across scalp regions and examined their association with behavioral development. From 3 to 6 months, SWA increased maximally in occipital regions, while theta power exhibited a global increase. Sigma power, initially concentrated centrally, dispersed towards frontal regions. Greater power increases over frontal regions correlated with higher motor (theta) and personal-social skill scores (sigma) at 6 months. These findings establish a framework for typical infant sleep EEG maturation, highlighting frequency-specific and regionally distinct developmental patterns. This study provides the first longitudinal evidence that early changes in sleep EEG topography reflect individual developmental trajectories, supporting its utility as a non-invasive and yet precise biomarker for early identification of atypical neurodevelopment at preverbal ages.

neuroscience↗