{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T04:08:14Z","timestamp":1791950894671,"version":"4.3.4"},"reference-count":40,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Microbiol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Postoperative delirium (POD) is a common complication after cardiac surgery, but the role of preoperative gut microbiota, especially the mycobiome, in POD susceptibility remains unclear. This study investigated the association between preoperative gut bacterome and mycobiome profiles and POD in elderly patients undergoing minimally invasive direct coronary artery bypass grafting (MIDCABG).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Preoperative fecal samples from 31 elderly patients scheduled for MIDCABG were analyzed via 16S rRNA and ITS high-throughput sequencing. POD was assessed twice daily using the 3D-CAM scale. Patients were divided into delirium (M,\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f7) and control (C,\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f24) groups. Microbial diversity, composition, and bacteria\u2013fungi correlations were systematically evaluated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      POD incidence was 22.58%. No baseline differences were observed between groups. Group M exhibited significantly lower gut microbiome health index and higher microbial dysbiosis index at both bacterome and mycobiome levels. Alpha\/beta diversity did not differ significantly. LEfSe revealed bacterial enrichment of\n                      <jats:italic>Clostridium<\/jats:italic>\n                      and\n                      <jats:italic>Intestinibacter<\/jats:italic>\n                      in Group M, and\n                      <jats:italic>Bifidobacterium<\/jats:italic>\n                      in Group C. Fungally,\n                      <jats:italic>Aspergillus<\/jats:italic>\n                      and\n                      <jats:italic>Basidiomycota<\/jats:italic>\n                      predominated in Group M, while\n                      <jats:italic>Saccharomyces<\/jats:italic>\n                      and\n                      <jats:italic>Ascomycota<\/jats:italic>\n                      were enriched in Group\n                      <jats:italic>C. candida<\/jats:italic>\n                      showed the highest abundance in Group M and was a key node in the fungal co-occurrence network. Correlation analysis revealed positive associations between bacterial genera (\n                      <jats:italic>Klebsiella<\/jats:italic>\n                      ,\n                      <jats:italic>Enterococcus<\/jats:italic>\n                      ,\n                      <jats:italic>Roseburia<\/jats:italic>\n                      ) and fungal taxa (\n                      <jats:italic>Wickerhamomyces<\/jats:italic>\n                      ,\n                      <jats:italic>Pichia<\/jats:italic>\n                      ,\n                      <jats:italic>Geotrichum<\/jats:italic>\n                      ), suggesting ecological interactions potentially linked to POD.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Preoperative dysbiosis of gut bacterome and mycobiome is associated with POD in elderly MIDCABG patients. Several bacterial and fungal taxa, including\n                      <jats:italic>Clostridium<\/jats:italic>\n                      ,\n                      <jats:italic>Intestinibacter<\/jats:italic>\n                      ,\n                      <jats:italic>Aspergillus<\/jats:italic>\n                      ,\n                      <jats:italic>Saccharomyces<\/jats:italic>\n                      , and\n                      <jats:italic>Candida<\/jats:italic>\n                      , were identified as candidate microbial biomarkers associated with POD and may contribute to future microbiota-based risk stratification strategies.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fmicb.2026.1854098","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T06:11:48Z","timestamp":1784095908000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Correlation of preoperative gut microbiota and postoperative delirium in patients undergoing minimally invasive direct coronary artery bypass grafting"],"prefix":"10.3389","volume":"17","author":[{"given":"Ruiliang","family":"Hu","sequence":"first","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinglun","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengyang","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongzheng","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongchao","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Laboratory Medicine, Peking University Third Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuning","family":"Shi","sequence":"additional","affiliation":[{"name":"International Medical Service, Peking University Third Hospital","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengqian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Peking University Third Hospital","place":["Beijing, China"]},{"name":"Beijing Center of Quality Control and Improvement on Clinical Anesthesia","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"951","DOI":"10.7150\/ijbs.124766","article-title":"Gut metabolite Indoleacrylic acid suppresses osteoclast formation by AHR mediated NF-\u03baB signaling pathway","volume":"22","author":"Bai","year":"2026","journal-title":"Int. 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