Network Analysis of Microbiome and Metabolome in Health and Disease

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Systems Microbiology".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 2842

Special Issue Editors


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Guest Editor
Department of Diagnostic and Laboratory Medicine, Bambino Gesù Children’s Hospital and Research Institute, 00146 Rome, Italy
Interests: microbiomics; proteomics; metaproteomics; metabolomics; microbiology; parasitology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Environmental Biology, NMLab Sapienza, Sapienza University of Rome, Rome, Italy
Interests: gut microbiota; nutrition; biotechnology; application of NMR spectroscopy to metabolomic analysis in biological systems: in vitro and in vivo studies of metabolism of cells; perfused organs and living organisms by multinuclear NMR spectroscopy; gut microbiota and host interactions, food quality and functional foods

Special Issue Information

Dear Colleagues,

Microbial communities in the gut and airway microbiota evolve and exert their ecological dynamics by establishing interactions within and among communities. These interactions can be highlighted by associations, correlations, and fused data-based models. Functional and ecological models may provide fundamental insights in the early life microbiota pathogenesis and in the relationship between disease onset, progression, and microbiota shape, as well as microbial niche selection and expansion. The Special Issue will focus on the mechanisms of neonatal microbiota maturation in neonatal life; on the correlations between gut and saliva microbiota during early life; and on the interaction between metabolite production and microbiota species selection under effect of probiotic administration. Moreover, network-based interactions will be reported to highlight lung and gut microbiota in respiratory diseases, including cancer. Models based on interaction between ecological and metabolomics data will be generated and interpreted to provide microbiome functional models and to identify disease-associated biomarkers in the personalised medicine of major multifactorial diseases such as inflammatory bowel diseases, autism spectrum disorders, and lung cancer.

Dr. Lorenza Putignani
Prof. Dr. Alfredo Miccheli
Guest Editors

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Keywords

  • microbiome
  • microbial biomarkers discovery
  • omics sciences
  • personalised medicine

Published Papers (1 paper)

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Research

19 pages, 4676 KiB  
Article
A Parallel Tracking of Salivary and Gut Microbiota Profiles Can Reveal Maturation and Interplay of Early Life Microbial Communities in Healthy Infants
by Sofia Reddel, Giuseppe Rubens Pascucci, Silvia Foligno, Federica Del Chierico, Pamela Vernocchi, Alessandra Marzullo, Maria Grazia Pattumelli, Paolo Palma, Guglielmo Salvatori and Lorenza Putignani
Microorganisms 2022, 10(2), 468; https://0-doi-org.brum.beds.ac.uk/10.3390/microorganisms10020468 - 18 Feb 2022
Cited by 4 | Viewed by 2163
Abstract
In this study, the onset and shaping of the salivary and gut microbiota in healthy newborns during the first period of life has been followed, evaluating the impact of salivary microbiota on the development of early fecal microbial communities. The microbiota of 80 [...] Read more.
In this study, the onset and shaping of the salivary and gut microbiota in healthy newborns during the first period of life has been followed, evaluating the impact of salivary microbiota on the development of early fecal microbial communities. The microbiota of 80 salivary and 82 fecal samples that were collected from healthy newborns in the first six months of life, was investigated by 16S rRNA amplicon profiling. The microbial relationship within and between the saliva and gut ecosystems was determined by correlation heatmaps and co-occurrence networks. Streptococcus and Staphylococcus appeared as early commensals in the salivary microbiota, dominating this ecosystem through the time, while Fusobacterium, Prevotella, Porphyromonas, Granulicatella, and Veillonella were late colonizers. Enterobacteriaceae, Staphylococcus and Streptococcus were gut pioneers, followed by the anaerobic Bifidobacterium, Veillonella, Eggerthella, and Bacteroides. Streptococcus, Staphylococcus, and Veillonella were shared by the gut and saliva ecosystems. The saliva and gut microbiota seem to evolve independently, driven by local adaptation strategies, except for the oral Streptococcus and Veillonella that are involved in gut microbiota development as seeding species. This study offers a piece of knowledge on how the oral microbiota may affect the gut microbiota in healthy newborns, shedding light onto new microbial targets for the development of therapies for early life intestinal dysbiosis. Full article
(This article belongs to the Special Issue Network Analysis of Microbiome and Metabolome in Health and Disease)
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