{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T16:11:57Z","timestamp":1787069517732,"version":"build-2736575974"},"reference-count":34,"publisher":"American Society for Microbiology","issue":"3","license":[{"start":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T00:00:00Z","timestamp":1709596800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T00:00:00Z","timestamp":1709596800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"funder":[{"DOI":"10.13039\/501100003196","name":"Ministero della Salute","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"crossref"}]},{"name":"The BioArte Limited","award":["202003_Bioarte_Putignani"],"award-info":[{"award-number":["202003_Bioarte_Putignani"]}]},{"DOI":"10.13039\/501100003196","name":"Italian Ministry of Health","doi-asserted-by":"crossref","award":["Current Research funds"],"award-info":[{"award-number":["Current Research funds"]}],"id":[{"id":"10.13039\/501100003196","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["Microbiol Spectr"],"published-print":{"date-parts":[[2024,3,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title\/>\n                    <jats:p>\n                      The relationship between COVID-19 and nasopharyngeal (NP) microbiota has been investigated mainly in the adult population. We explored the NP profile of children affected by COVID-19, compared to healthy controls (CTRLs). NP swabs of children with COVID-19, collected between March and September 2020, were investigated at the admission (\n                      <jats:italic>T<\/jats:italic>\n                      <jats:sub>0<\/jats:sub>\n                      ), 72 h to 7 days (\n                      <jats:italic>T<\/jats:italic>\n                      <jats:sub>1<\/jats:sub>\n                      ), and at the discharge (\n                      <jats:italic>T<\/jats:italic>\n                      <jats:sub>2<\/jats:sub>\n                      ) of the patients. NP microbiota was analyzed by 16S rRNA targeted-metagenomics. Data from sequencing were investigated by QIIME 2.0 and PICRUSt 2. Multiple machine learning (ML) models were exploited to classify patients compared to CTRLs. The NP microbiota of COVID-19 patients (\n                      <jats:italic>N<\/jats:italic>\n                      = 71) was characterized by reduction of \u03b1-diversity compared to CTRLs (\n                      <jats:italic>N<\/jats:italic>\n                      = 59). The NP microbiota of COVID-19 cohort appeared significantly enriched in\n                      <jats:italic>Streptococcus<\/jats:italic>\n                      ,\n                      <jats:italic>Haemophilus<\/jats:italic>\n                      ,\n                      <jats:italic>Staphylococcus<\/jats:italic>\n                      ,\n                      <jats:italic>Veillonella<\/jats:italic>\n                      ,\n                      <jats:italic>Enterococcus<\/jats:italic>\n                      ,\n                      <jats:italic>Neisseria<\/jats:italic>\n                      ,\n                      <jats:italic>Moraxella<\/jats:italic>\n                      , Enterobacteriaceae,\n                      <jats:italic>Gemella<\/jats:italic>\n                      ,\n                      <jats:italic>Bacillus<\/jats:italic>\n                      , and reduced in\n                      <jats:italic>Faecalibacterium<\/jats:italic>\n                      ,\n                      <jats:italic>Akkermansia<\/jats:italic>\n                      ,\n                      <jats:italic>Blautia<\/jats:italic>\n                      ,\n                      <jats:italic>Bifidobacterium<\/jats:italic>\n                      ,\n                      <jats:italic>Ruminococcus<\/jats:italic>\n                      , and\n                      <jats:italic>Bacteroides,<\/jats:italic>\n                      compared to CTRLs (FDR &lt; 0.001). Exploiting ML models,\n                      <jats:italic>Enterococcus, Pseudomonas, Streptococcus, Capnocytopagha, Tepidiphilus, Porphyromonas, Staphylococcus<\/jats:italic>\n                      , and\n                      <jats:italic>Veillonella<\/jats:italic>\n                      resulted as NP microbiota biomarkers, in COVID-19 patients. No statistically significant differences were found comparing the NP microbiota profile of COVID-19 patients during the time-points or grouping patients on the basis of high, medium, and low viral load (VL). This evidence provides specific pathobiont signatures of the NP microbiota in pediatric COVID-19 patients, and the reduction of anaerobic protective commensals. Our data suggest that the NP microbiota may have a specific disease-related signature since infection onset without changes during disease progression, regardless of the SARS-CoV-2 VL.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>IMPORTANCE<\/jats:title>\n                    <jats:p>Since the beginning of pandemic, we know that children are less susceptible to severe COVID-19 disease. A potential role of the nasopharyngeal (NP) microbiota has been hypothesized but to date, most of the studies have been focused on adults. We studied the NP microbiota modifications in children affected by SARS-CoV-2 infection showing a specific NP microbiome profile, mainly composed by pathobionts and almost missing protective anaerobic commensals. Moreover, in our study, specific microbial signatures appear since the first days of infection independently from SARS-CoV-2 viral load.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1128\/spectrum.03009-23","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T09:01:37Z","timestamp":1706605297000},"update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":7,"title":["Exploring nasopharyngeal microbiota profile in children affected by SARS-CoV-2 infection"],"prefix":"10.1128","volume":"12","author":[{"given":"L.","family":"Romani","sequence":"first","affiliation":[{"name":"Infectious Disease Unit, Bambino Ges\u00f9 Children\u2019s Hospital, IRCCS, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4204-4736","authenticated-orcid":true,"given":"F.","family":"Del Chierico","sequence":"additional","affiliation":[{"name":"Research Unit of Human Microbiome, Bambino Ges\u00f9 Children's Hospital, IRCCS, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Pane","sequence":"additional","affiliation":[{"name":"Unit of Microbiomics, Bambino Ges\u00f9 Children\u2019s Hospital, IRCCS, Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. 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