<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Martino C</submitter><funding>Emil Aaltosen Säätiö (Emil Aaltonen Foundation)</funding><funding>IBM | IBM Research</funding><funding>NIEHS NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>NIHR | NIHR Cambridge Biomedical Research Centre (NIHR Cambridge BRC)</funding><funding>French National Research Agency</funding><funding>Alfred Benzon Foundation</funding><funding>National Science Foundation (NSF)</funding><funding>Alfred Benzon Foundation (The Alfred Benzon Foundation)</funding><funding>Academy of Finland</funding><funding>Emerald Foundation</funding><funding>NCCIH NIH HHS</funding><funding>Emil Aaltosen Säätiö</funding><funding>UC | University of California, San Diego (UCSD)</funding><funding>Health Data Research UK (HDR UK)</funding><funding>UC | University of California, San Diego</funding><funding>National Science Foundation</funding><funding>Novo Nordisk Foundation</funding><funding>British Heart Foundation</funding><funding>HHS | National Institutes of Health (NIH)</funding><funding>NIAID NIH HHS</funding><funding>UC San Diego Center for Microbiome Innovation</funding><funding>HHS | National Institutes of Health</funding><funding>Sydäntutkimussäätiö</funding><funding>ANID Becas Chile Doctorado</funding><funding>Health Data Research UK</funding><funding>Munz Chair of Cardiovascular Prediction and Prevention</funding><funding>NIDDK NIH HHS</funding><funding>Sydäntutkimussäätiö (Finnish Foundation for Cardiovascular Research)</funding><funding>Union&amp;apos;s Horizon Europe Research and Innovation 459 Actions</funding><funding>NCI NIH HHS</funding><funding>Union's Horizon Europe Research and Innovation 459 Actions</funding><funding>NIHR | NIHR Cambridge Biomedical Research Centre</funding><funding>Wellcome Trust</funding><funding>NIGMS NIH HHS</funding><pagination>e0401524</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11980591</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(4)</volume><pubmed_abstract>The gastrointestinal (GI) tract is a site of replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and GI symptoms are often reported by patients. SARS-CoV-2 cell entry depends upon heparan sulfate (HS) proteoglycans, which commensal bacteria that bathe the human mucosa are known to modify. To explore human gut HS-modifying bacterial abundances and how their presence may impact SARS-CoV-2 infection, we developed a task-based analysis of proteoglycan degradation on large-scale shotgun metagenomic data. We observed that gut bacteria with high predicted catabolic capacity for HS differ by age and sex, factors associated with coronavirus disease 2019 (COVID-19) severity, and directly by disease severity during/after infection, but do not vary between subjects with COVID-1</pubmed_abstract><journal>mBio</journal><pubmed_title>SARS-CoV-2 infectivity can be modulated through bacterial grooming of the glycocalyx.</pubmed_title><pmcid>PMC11980591</pmcid><funding_grant_id>U19 AI116497</funding_grant_id><funding_grant_id>N/A</funding_grant_id><funding_grant_id>R01ES027595</funding_grant_id><funding_grant_id>UH2AI153029</funding_grant_id><funding_grant_id>3022</funding_grant_id><funding_grant_id>1P30DK120515</funding_grant_id><funding_grant_id>RG/18/13/33946</funding_grant_id><funding_grant_id>R01 GM069811</funding_grant_id><funding_grant_id>UM1-CA164917</funding_grant_id><funding_grant_id>321351 and 354447</funding_grant_id><funding_grant_id>BRC-1215-20014</funding_grant_id><funding_grant_id>R01-CA077398</funding_grant_id><funding_grant_id>RG/13/13/30194</funding_grant_id><funding_grant_id>ANR-20-CE44-0005</funding_grant_id><funding_grant_id>UH2 AI153029</funding_grant_id><funding_grant_id>2031989</funding_grant_id><funding_grant_id>P30-CA023100</funding_grant_id><funding_grant_id>P30 CA023100</funding_grant_id><funding_grant_id>R01 CA077398</funding_grant_id><funding_grant_id>R35GM119850</funding_grant_id><funding_grant_id>AI Horizons Network</funding_grant_id><funding_grant_id>UM1 CA164917</funding_grant_id><funding_grant_id>U01-CA199277</funding_grant_id><funding_grant_id>P01 HL131474</funding_grant_id><funding_grant_id>NNF20SA0066621</funding_grant_id><funding_grant_id>P30 CA033572</funding_grant_id><funding_grant_id>R01 ES027595</funding_grant_id><funding_grant_id>101046041</funding_grant_id><funding_grant_id>P30-CA033572</funding_grant_id><funding_grant_id>335525</funding_grant_id><funding_grant_id>U01 CA199277</funding_grant_id><funding_grant_id>R00RG2503</funding_grant_id><funding_grant_id>R01GM069811</funding_grant_id><funding_grant_id>2018-72190270</funding_grant_id><funding_grant_id>2038509</funding_grant_id><funding_grant_id>ANR-17-CE11-0014</funding_grant_id><funding_grant_id>DP1 AT010885</funding_grant_id><funding_grant_id>P30 DK120515</funding_grant_id><funding_grant_id>R35 GM119850</funding_grant_id><funding_grant_id>1DP1AT010885</funding_grant_id><funding_grant_id>321356</funding_grant_id><pubmed_authors>McDonald D</pubmed_authors><pubmed_authors>Zaramela LS</pubmed_authors><pubmed_authors>Cooper R</pubmed_authors><pubmed_authors>Esko JD</pubmed_authors><pubmed_authors>Martino C</pubmed_authors><pubmed_authors>Riva A</pubmed_authors><pubmed_authors>Liang C</pubmed_authors><pubmed_authors>Inouye M</pubmed_authors><pubmed_authors>Spielfogel ES</pubmed_authors><pubmed_authors>Lewis NE</pubmed_authors><pubmed_authors>Marotz CA</pubmed_authors><pubmed_authors>Sweeney DA</pubmed_authors><pubmed_authors>Niiranen T</pubmed_authors><pubmed_authors>Taylor B</pubmed_authors><pubmed_authors>Haiminen N</pubmed_authors><pubmed_authors>Sorrentino JT</pubmed_authors><pubmed_authors>Martinez ME</pubmed_authors><pubmed_authors>Kim H-C</pubmed_authors><pubmed_authors>Paulus MP</pubmed_authors><pubmed_authors>Jain M</pubmed_authors><pubmed_authors>Kosciolek T</pubmed_authors><pubmed_authors>Broedlow CA</pubmed_authors><pubmed_authors>Berteau O</pubmed_authors><pubmed_authors>Anderson CAM</pubmed_authors><pubmed_authors>Hasty J</pubmed_authors><pubmed_authors>Belda-Ferre P</pubmed_authors><pubmed_authors>Schifanella L</pubmed_authors><pubmed_authors>Lacey JV</pubmed_authors><pubmed_authors>Salomaa V</pubmed_authors><pubmed_authors>Lai A</pubmed_authors><pubmed_authors>Das P</pubmed_authors><pubmed_authors>Carlin AF</pubmed_authors><pubmed_authors>Cheng S</pubmed_authors><pubmed_authors>Garretson AF</pubmed_authors><pubmed_authors>Klatt NR</pubmed_authors><pubmed_authors>Vazquez-Baeza Y</pubmed_authors><pubmed_authors>Basting C</pubmed_authors><pubmed_authors>Swafford AD</pubmed_authors><pubmed_authors>Soualmia F</pubmed_authors><pubmed_authors>Salido RA</pubmed_authors><pubmed_authors>Clausen TM</pubmed_authors><pubmed_authors>Estaki M</pubmed_authors><pubmed_authors>Benjdia A</pubmed_authors><pubmed_authors>Ali F</pubmed_authors><pubmed_authors>Victor TA</pubmed_authors><pubmed_authors>Savage KE</pubmed_authors><pubmed_authors>Kellman BP</pubmed_authors><pubmed_authors>Parida L</pubmed_authors><pubmed_authors>Armingol E</pubmed_authors><pubmed_authors>Covizzi A</pubmed_authors><pubmed_authors>Song SJ</pubmed_authors><pubmed_authors>Gilbert JA</pubmed_authors><pubmed_authors>Kuplicki R</pubmed_authors><pubmed_authors>Knight R</pubmed_authors><pubmed_authors>Huang S</pubmed_authors><pubmed_authors>Allard SM</pubmed_authors><pubmed_authors>Benbow JL</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Jousilahti P</pubmed_authors><pubmed_authors>Sandoval DR</pubmed_authors><pubmed_authors>Zengler K</pubmed_authors><pubmed_authors>Havulinna AS</pubmed_authors><pubmed_authors>Zhu Q</pubmed_authors><pubmed_authors>Clark AE</pubmed_authors><pubmed_authors>Wandro S</pubmed_authors></additional><is_claimable>false</is_claimable><name>SARS-CoV-2 infectivity can be modulated through bacterial grooming of the glycocalyx.</name><description>The gastrointestinal (GI) tract is a site of replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and GI symptoms are often reported by patients. SARS-CoV-2 cell entry depends upon heparan sulfate (HS) proteoglycans, which commensal bacteria that bathe the human mucosa are known to modify. To explore human gut HS-modifying bacterial abundances and how their presence may impact SARS-CoV-2 infection, we developed a task-based analysis of proteoglycan degradation on large-scale shotgun metagenomic data. We observed that gut bacteria with high predicted catabolic capacity for HS differ by age and sex, factors associated with coronavirus disease 2019 (COVID-19) severity, and directly by disease severity during/after infection, but do not vary between subjects with COVID-1</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Apr</publication><modification>2026-06-02T19:08:59.459Z</modification><creation>2025-07-13T03:04:39.863Z</creation></dates><accession>S-EPMC11980591</accession><cross_references><pubmed>39998226</pubmed><doi>10.1128/mbio.04015-24</doi></cross_references></HashMap>