: Background: At birth, the human intestine is colonized by a complex community of microorganisms known as gut microbiota. These complex microbial communities that inhabit the gut microbiota are thought to play a key role in maintaining host physiological homeostasis. For this reason, correct colonization of the gastrointestinal tract in the early stages of life could be fundamental for human health. Furthermore, alterations of the infant microbiota are correlated with the development of human inflammatory diseases and disorders. In this context, the possible relationships between intestinal microbiota and body composition during infancy are of great interest. Methods: In this study, we have performed a pilot study based on 16S rRNA gene profiling and metagenomic approaches on repeatedly measured data on time involving a cohort of 41 Italian newborns, which is aimed to investigate the possible correlation between body fat mass percentage (FM%) and the infant gut microbiota composition. Results and conclusion: The taxonomical analysis of the stool microbiota of each infant included in the cohort allowed the identification of a specific correlation between intestinal bacteria, such as Bifidobacterium and Veillonella, and the increase in FM%. Moreover, the analysis of the infant microbiome's metabolic capabilities suggested that the intestinal microbiome functionally impacts the human host and its possible influence on host physiology.

A pilot study to disentangle the infant gut microbiota composition and identification of bacteria correlates with high fat mass / Mancabelli, Leonardo; Milani, Christian; Fontana, Federico; Liotto, Nadia; Tabasso, Chiara; Perrone, Michela; Lugli, Gabriele Andrea; Tarracchini, Chiara; Alessandri, Giulia; Viappiani, Alice; Bernasconi, Sergio; Roggero, Paola; Mosca, Fabio; Turroni, Francesca; Ventura, Marco. - In: MICROBIOME RESEARCH REPORTS. - ISSN 2771-5965. - 2:3(2023), p. 23.23. [10.20517/mrr.2023.11]

A pilot study to disentangle the infant gut microbiota composition and identification of bacteria correlates with high fat mass

Mancabelli, Leonardo;Milani, Christian;Fontana, Federico;Lugli, Gabriele Andrea;Tarracchini, Chiara;Alessandri, Giulia;Bernasconi, Sergio;Turroni, Francesca;Ventura, Marco
2023-01-01

Abstract

: Background: At birth, the human intestine is colonized by a complex community of microorganisms known as gut microbiota. These complex microbial communities that inhabit the gut microbiota are thought to play a key role in maintaining host physiological homeostasis. For this reason, correct colonization of the gastrointestinal tract in the early stages of life could be fundamental for human health. Furthermore, alterations of the infant microbiota are correlated with the development of human inflammatory diseases and disorders. In this context, the possible relationships between intestinal microbiota and body composition during infancy are of great interest. Methods: In this study, we have performed a pilot study based on 16S rRNA gene profiling and metagenomic approaches on repeatedly measured data on time involving a cohort of 41 Italian newborns, which is aimed to investigate the possible correlation between body fat mass percentage (FM%) and the infant gut microbiota composition. Results and conclusion: The taxonomical analysis of the stool microbiota of each infant included in the cohort allowed the identification of a specific correlation between intestinal bacteria, such as Bifidobacterium and Veillonella, and the increase in FM%. Moreover, the analysis of the infant microbiome's metabolic capabilities suggested that the intestinal microbiome functionally impacts the human host and its possible influence on host physiology.
2023
A pilot study to disentangle the infant gut microbiota composition and identification of bacteria correlates with high fat mass / Mancabelli, Leonardo; Milani, Christian; Fontana, Federico; Liotto, Nadia; Tabasso, Chiara; Perrone, Michela; Lugli, Gabriele Andrea; Tarracchini, Chiara; Alessandri, Giulia; Viappiani, Alice; Bernasconi, Sergio; Roggero, Paola; Mosca, Fabio; Turroni, Francesca; Ventura, Marco. - In: MICROBIOME RESEARCH REPORTS. - ISSN 2771-5965. - 2:3(2023), p. 23.23. [10.20517/mrr.2023.11]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2970856
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