{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["12"],"submitter":["Romani L"],"pubmed_abstract":["This is the first study on gut microbiota (GM) in children affected by coronavirus disease 2019 (COVID-19). Stool samples from 88 patients with suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and 95 healthy subjects were collected (admission: 3-7 days, discharge) to study GM profile by 16S rRNA gene sequencing and relationship to disease severity. The study group was divided in COVID-19 (68), Non-COVID-19 (16), and MIS-C (multisystem inflammatory syndrome in children) (4). Correlations among GM ecology, predicted functions, multiple machine learning (ML) models, and inflammatory response were provided for COVID-19 and Non-COVID-19 cohorts. The GM of COVID-19 cohort resulted as dysbiotic, with the lowest α-diversity compared with Non-COVID-19 and CTRLs and by a specific β-diversity. Its profile appeared enriched in <i>Faecalibacterium</i>, <i>Fusobacterium</i>, and <i>Neisseria</i> and reduced in <i>Bifidobacterium</i>, <i>Blautia</i>, <i>Ruminococcus</i>, <i>Collinsella</i>, <i>Coprococcus</i>, <i>Eggerthella</i>, and <i>Akkermansia</i>, compared with CTRLs (<i>p <</i> 0.05). All GM paired-comparisons disclosed comparable results through all time points. The comparison between COVID-19 and Non-COVID-19 cohorts highlighted a reduction of <i>Abiotrophia</i> in the COVID-19 cohort (<i>p</i> < 0.05). The GM of MIS-C cohort was characterized by an increase of <i>Veillonella</i>, <i>Clostridium</i>, <i>Dialister</i>, <i>Ruminococcus</i>, and <i>Streptococcus</i> and a decrease of <i>Bifidobacterium</i>, <i>Blautia</i>, <i>Granulicatella</i>, and <i>Prevotella</i>, compared with CTRLs. Stratifying for disease severity, the GM associated to \"moderate\" COVID-19 was characterized by lower α-diversity compared with \"mild\" and \"asymptomatic\" and by a GM profile deprived in <i>Neisseria</i>, <i>Lachnospira</i>, <i>Streptococcus</i>, and <i>Prevotella</i> and enriched in <i>Dialister</i>, <i>Acidaminococcus</i>, <i>Oscillospora</i>, <i>Ruminococcus</i>, <i>Clostridium</i>, <i>Alistipes</i>, and <i>Bacteroides.</i> The ML models identified <i>Staphylococcus</i>, <i>Anaerostipes</i>, <i>Faecalibacterium</i>, <i>Dorea</i>, <i>Dialister</i>, <i>Streptococcus</i>, <i>Roseburia</i>, <i>Haemophilus</i>, <i>Granulicatella</i>, <i>Gemmiger</i>, <i>Lachnospira</i>, <i>Corynebacterium</i>, <i>Prevotella</i>, <i>Bilophila</i>, <i>Phascolarctobacterium</i>, <i>Oscillospira</i>, and <i>Veillonella</i> as microbial markers of COVID-19. The KEGG ortholog (KO)-based prediction of GM functional profile highlighted 28 and 39 KO-associated pathways to COVID-19 and CTRLs, respectively. Finally, <i>Bacteroides</i> and <i>Sutterella</i> correlated with proinflammatory cytokines regardless disease severity. Unlike adult GM profiles, <i>Faecalibacterium</i> was a specific marker of pediatric COVID-19 GM. The durable modification of patients' GM profile suggested a prompt GM quenching response to SARS-CoV-2 infection since the first symptoms. <i>Faecalibacterium</i> and reduced fatty acid and amino acid degradation were proposed as specific COVID-19 disease traits, possibly associated to restrained severity of SARS-CoV-2-infected children. Altogether, this evidence provides a characterization of the pediatric COVID-19-related GM."],"journal":["Frontiers in cellular and infection microbiology"],"pagination":["908492"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9304937"],"repository":["biostudies-literature"],"pubmed_title":["The Relationship Between Pediatric Gut Microbiota and SARS-CoV-2 Infection."],"pmcid":["PMC9304937"],"pubmed_authors":["Macari G","Cutrera R","Villani A","Cursi L","Pansa P","De Luca M","Cotugno N","Manno EC","Rossi P","Carducci FC","Lancella L","Bernardi S","Zangari P","CACTUS Study Team","Gardini S","Ciofi Degli Atti M","Campana A","Putignani L","Palma P","D'Argenio P","Romani L","Del Chierico F","Guarrasi V","De Ioris MA","Ristori MV","Chiurchiu S","Finocchi A","Sessa L","D'Amore C","Pane S","Perno CF","Morrocchi E","Pascucci GR","Cancrini C"],"additional_accession":[]},"is_claimable":false,"name":"The Relationship Between Pediatric Gut Microbiota and SARS-CoV-2 Infection.","description":"This is the first study on gut microbiota (GM) in children affected by coronavirus disease 2019 (COVID-19). Stool samples from 88 patients with suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and 95 healthy subjects were collected (admission: 3-7 days, discharge) to study GM profile by 16S rRNA gene sequencing and relationship to disease severity. The study group was divided in COVID-19 (68), Non-COVID-19 (16), and MIS-C (multisystem inflammatory syndrome in children) (4). Correlations among GM ecology, predicted functions, multiple machine learning (ML) models, and inflammatory response were provided for COVID-19 and Non-COVID-19 cohorts. The GM of COVID-19 cohort resulted as dysbiotic, with the lowest α-diversity compared with Non-COVID-19 and CTRLs and by a specific β-diversity. Its profile appeared enriched in <i>Faecalibacterium</i>, <i>Fusobacterium</i>, and <i>Neisseria</i> and reduced in <i>Bifidobacterium</i>, <i>Blautia</i>, <i>Ruminococcus</i>, <i>Collinsella</i>, <i>Coprococcus</i>, <i>Eggerthella</i>, and <i>Akkermansia</i>, compared with CTRLs (<i>p <</i> 0.05). All GM paired-comparisons disclosed comparable results through all time points. The comparison between COVID-19 and Non-COVID-19 cohorts highlighted a reduction of <i>Abiotrophia</i> in the COVID-19 cohort (<i>p</i> < 0.05). The GM of MIS-C cohort was characterized by an increase of <i>Veillonella</i>, <i>Clostridium</i>, <i>Dialister</i>, <i>Ruminococcus</i>, and <i>Streptococcus</i> and a decrease of <i>Bifidobacterium</i>, <i>Blautia</i>, <i>Granulicatella</i>, and <i>Prevotella</i>, compared with CTRLs. Stratifying for disease severity, the GM associated to \"moderate\" COVID-19 was characterized by lower α-diversity compared with \"mild\" and \"asymptomatic\" and by a GM profile deprived in <i>Neisseria</i>, <i>Lachnospira</i>, <i>Streptococcus</i>, and <i>Prevotella</i> and enriched in <i>Dialister</i>, <i>Acidaminococcus</i>, <i>Oscillospora</i>, <i>Ruminococcus</i>, <i>Clostridium</i>, <i>Alistipes</i>, and <i>Bacteroides.</i> The ML models identified <i>Staphylococcus</i>, <i>Anaerostipes</i>, <i>Faecalibacterium</i>, <i>Dorea</i>, <i>Dialister</i>, <i>Streptococcus</i>, <i>Roseburia</i>, <i>Haemophilus</i>, <i>Granulicatella</i>, <i>Gemmiger</i>, <i>Lachnospira</i>, <i>Corynebacterium</i>, <i>Prevotella</i>, <i>Bilophila</i>, <i>Phascolarctobacterium</i>, <i>Oscillospira</i>, and <i>Veillonella</i> as microbial markers of COVID-19. The KEGG ortholog (KO)-based prediction of GM functional profile highlighted 28 and 39 KO-associated pathways to COVID-19 and CTRLs, respectively. Finally, <i>Bacteroides</i> and <i>Sutterella</i> correlated with proinflammatory cytokines regardless disease severity. Unlike adult GM profiles, <i>Faecalibacterium</i> was a specific marker of pediatric COVID-19 GM. The durable modification of patients' GM profile suggested a prompt GM quenching response to SARS-CoV-2 infection since the first symptoms. <i>Faecalibacterium</i> and reduced fatty acid and amino acid degradation were proposed as specific COVID-19 disease traits, possibly associated to restrained severity of SARS-CoV-2-infected children. Altogether, this evidence provides a characterization of the pediatric COVID-19-related GM.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2026-03-31T11:54:45.327Z","creation":"2025-02-19T02:44:28.042Z"},"accession":"S-EPMC9304937","cross_references":{"pubmed":["35873161"],"doi":["10.3389/fcimb.2022.908492"]}}