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Browsing by Subject "infant"

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  • Lalli, Marianne (2024)
    Background: The infant gut microbiome undergoes major temporal changes in the first year of life, crucial for supporting normal development and long-term health. The immense diversity of fiber structures in breast milk and later in solid foods pose unique selection pressures on the gut microbiome maturation by providing novel substrates for the microbiota. However, the longitudinal impact of complementary food-derived fibers on the taxonomic and functional maturation of the gut microbiome during the gradual transition from breast milk to solid foods is not well understood. Objectives: My objective was to examine how breast milk, its fiber and complementary food fibers in the broader context of overall infant diet may affect the gut microbiome bacterial species composition and support age-appropriate gut bacterial maturation trajectories during first year of life. Methods: Longitudinal and cross-sectional development of 68 infant gut microbiomes and 33 metabolomes were examined with linear mixed models to determine the impact of infant nutrition on gut microbiome taxa and functional development. Nutrition assessments were based on detailed quantitative weighted 3-day food records (months 3,6,9,12) and the intakes of total dietary fiber with its food sources and fiber fractions relied on current internationally approved CODEX-compliant values. Questionnaires were utilized to monitor when various complementary foods were introduced, enabling more comprehensive nutritional analyses. Bacterial species identification was based on MetaPhlAn2 quantification of bacterial species from metagenomic data and metabolomic profiles were generated using four liquid chromatography-mass spectrometry (LC-MS) methods. Results: My examinations place the previously described sequential trajectories in infant gut microbiome maturation into detailed fiber-dependent nutritional context relying on metagenomic species identification. I discovered 176 complementary food derived fiber-bacterial species associations. The majority of the associations (147, 84%) were positive whereas breastfeeding and related variables tended to be inversely associated with the same species, showing strongest inverse correlations to later trajectory species indicative of slower maturation. Both bacterial species and metabolomic profiles displayed pronounced longitudinal shifts in response to solid food fibers. Each introduction of novel dietary source of fiber associated to diversification of the microbiome revealing fiber-species specific temporal patterns. Conclusions: The longitudinal analyses highlight that sufficient fiber intake from appropriate sources during the weaning period likely function to build capacity for the species permanence in the more diverse and stable mature gut microbiome composition and function reached in later childhood.
  • Acosta Leinonen, Johanna Natalia (2019)
    Sleep is one of the most vital functions of newborns and infants, and it is essential for neuronal network development. Therefore, long-term sleep disturbances have been associated with growth delays and behavioral disorders. Commonly reported infant sleep disturbances, such as night awakenings and difficulties falling asleep, cause distress to parents. Yet, the development of infant sleep in the home environment has not been fully elucidated due to lack of objective measurement parameters. In the current study, we assessed the feasibility of a motion sensor, attached to wearable pants, and ECG textile electrodes to monitor sleep-related respiration and heart rate of newborns and infants. First, we compared signals recorded by the motion sensor’s measurement channels to the standard respiratory piezo effort belt’s signal during daytime EEG recordings. According to our results, the motion sensor’s gyroscope proved to measure respiratory rate most accurately, while the ECG signal transmitted by the sensor was reliable in interpretable sections. We then provided wearable garments and smartphones to families with infants to assess overnight home-use. Our results indicate that different sleep states could likely be identified based on respiration fluctuation visible in the gyroscope’s signals. Moreover, the wearable system was considered practical and easy to use by the parents. Future studies should focus on validating the sensor with clinically approved measures, in order to train the algorithms to automatically identify different sleep-wake states. By doing so, the wearable sensor could provide information on natural infant sleep structure development over long time periods. Additionally, clinical validation of the sensor may result in the development of a companion diagnostic tool for infant cardiorespiratory and movement disorders.