Integrative Analysis of the Genes Induced by the Intestine Microbiota of Infant Born to Term and Breastfed

Nouadi, Badreddine; Sbaoui, Yousra; Messal, M. El; Bennis, Faïza; Chegdani, Fatima

doi:10.1177/1177932220906168

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…These processes induced in the first few months of a newborns' life have concerned intestinal development, effect of nutrition, and impact of other environmental exposures on the intestinal microbiota colonization. This study indicates the importance of these interactions in health homeostasis [52].…”

Section: Factors Impacting the Microbiota Diversitysupporting

confidence: 61%

Breastfeeding and the Influence of the Breast Milk Microbiota on Infant Health

Chegdani¹,

Nouadi²,

Bennis³

2022

Topics on Critical Issues in Neonatal Care

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Nutrition is an essential condition for physical, mental, and psycho-emotional growth for both children and adults. It is a major determinant of health and a key factor for the development of a country. Breastfeeding is a natural biological process, essential for the development of the life of the newborn at least during the first six months by ensuring a nutritional contribution adapted to the needs of the latter. Thus, breast milk is the physiological and natural food best suited to the nutrition of the newborn. It contains several various components, which are biologically optimized for the infant. Cells are not a negligible component of breast milk. Breast milk is also a continuous source of commensal and beneficial bacteria, including lactic acid bacteria and bifidobacteria. It plays an important role in the initiation, development, and composition of the newborn’s gut microbiota, thanks to its pre-and probiotic components. Current knowledge highlights the interdependent links between the components of breast milk, the ontogeny of intestinal functions, the development of the mucus intestinal immune system, colonization by the intestinal microbiota, and protection against pathogens. The quality of these interactions influences the health of the newborn in the short and long term.

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Section: Factors Impacting the Microbiota Diversitysupporting

confidence: 61%

Breastfeeding and the Influence of the Breast Milk Microbiota on Infant Health

Chegdani¹,

Nouadi²,

Bennis³

2022

Topics on Critical Issues in Neonatal Care

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“…7 Bioinformatics is one of the newest fields of biological research, which should be broadly considered as the use of mathematics, statistics, and informatics to process and analyze biological data. 8,9 In addition, it is an important element in laboratories that generate, analyze, store, and interpret data from molecular genetic tests. 10 The present study aims to predict interactions between differentially expressed genes (DEGs) to identify central genes and determine key signaling pathways in MM to understand its genetic heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways

Saadoune

Nouadi

Hamdaoui

et al. 2022

Bioinform Biol Insights

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Multiple myeloma (MM) is a hematological malignancy in which monoclonal plasma cells multiply in the bone marrow and monoclonal immunoglobulins are overproduced in older people. Several molecular and cytogenetic advances allow scientists to identify several genetic and chromosomal abnormalities that cause the disease. The comprehension of the pathophysiology of MM requires an understanding of the characteristics of malignant clones and the changes in the bone marrow microenvironment. This study aims to identify the central genes and to determine the key signaling pathways in MM by in silico approaches. A list of 114 differentially expressed genes (DEGs) is important in the prognosis of MM. The DEGs are collected from scientific publications and databases ( https://www.ncbi.nlm.nih.gov/ ). These data are analyzed by Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) software ( https://string-db.org/ ) through the construction of protein-protein interaction (PPI) networks and enrichment analysis of the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, by CytoHubba, AutoAnnotate, Bingo Apps plugins in Cytoscape software ( https://cytoscape.org/ ) and by DAVID database ( https://david.ncifcrf.gov/ ). The analysis of the results shows that there are 7 core genes, including TP53; MYC; CDND1; IL6; UBA52; EZH2, and MDM2. These top genes appear to play a role in the promotion and progression of MM. According to functional enrichment analysis, these genes are mainly involved in the following signaling pathways: Epstein-Barr virus infection, microRNA pathway, PI3K-Akt signaling pathway, and p53 signaling pathway. Several crucial genes, including TP53, MYC, CDND1, IL6, UBA52, EZH2, and MDM2, are significantly correlated with MM, which may exert their role in the onset and evolution of MM.

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“…[21][22][23] The investigation of interactomes in model organisms such as Arabidopsis thaliana (L.), 24 Saccharomyces cerevisiae (Meyen), and Escherichia coli K-12 25 has been involved in predicting and improving the understanding of cellular processes and biological interactions in other organisms. 26,27 Furthermore, the power of Cytoscape plugins in the analysis of microbiota has been documented in several works and in different microbiomes including intestinal, 28 oral, 29 vaginal, 30 and marine. 31,32 The study of the behavior of bacterioplankton during nutrient excess as one of the environmental parameters that affect its capacity of pathogenesis is not well documented and has never been analyzed in silico.…”

Section: Introductionmentioning

confidence: 99%

Functional Prediction of Biological Profile During Eutrophication in Marine Environment

Sbaoui

Nouadi

Ezaouine

et al. 2022

Bioinform Biol Insights

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In the marine environment, coastal nutrient pollution and algal blooms are increasing in many coral reefs and surface waters around the world, leading to higher concentrations of dissolved organic carbon (DOC), nitrogen (N), phosphate (P), and sulfur (S) compounds. The adaptation of the marine microbiota to this stress involves evolutionary processes through mutations that can provide selective phenotypes. The aim of this in silico analysis is to elucidate the potential candidate hub proteins, biological processes, and key metabolic pathways involved in the pathogenicity of bacterioplankton during excess of nutrients. The analysis was carried out on the model organism Escherichia coli K-12, by adopting an analysis pipeline consisting of a set of packages from the Cystoscape platform. The results obtained show that the metabolism of carbon and sugars generally are the 2 driving mechanisms for the expression of virulence factors.

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Integrative Analysis of the Genes Induced by the Intestine Microbiota of Infant Born to Term and Breastfed

Cited by 3 publications

References 34 publications

Breastfeeding and the Influence of the Breast Milk Microbiota on Infant Health

Breastfeeding and the Influence of the Breast Milk Microbiota on Infant Health

Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways

Functional Prediction of Biological Profile During Eutrophication in Marine Environment

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