{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T22:50:35Z","timestamp":1790808635303,"version":"4.1.0"},"reference-count":38,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2023YFC3603100"],"award-info":[{"award-number":["2023YFC3603100"]}]},{"name":"National Key Research and Development Program of China","award":["2023YFC3603104"],"award-info":[{"award-number":["2023YFC3603104"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Microorganisms"],"abstract":"<jats:p>The intestinal mycobiome is closely related to human health. There have been several reports investigating the association between the gut fungi and disease, but there is still a lack of overall assessment of the human gut mycobiome. Here, we performed a meta-analysis based on 2372 ITS (Internal Transcribed Spacer) data collected publicly online. We found that the mycobiome diversity of human gut fungi varies significantly across diseases by using EasyAmplicon, and these fungi are mainly composed of three genera, Saccharomyces, Candida, and Aspergillus. In addition, we performed the construction of disease prediction models based on ITS data by using the random forest model and verified the generalization ability of the models. We hope that our results will provide strong support for subsequent studies of the intestinal mycobiome.<\/jats:p>","DOI":"10.3390\/microorganisms12122567","type":"journal-article","created":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T03:51:08Z","timestamp":1734061868000},"page":"2567","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Meta-Analysis of the Human Gut Mycobiome Using Internal Transcribed Spacer Data"],"prefix":"10.3390","volume":"12","author":[{"given":"Zeming","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"},{"name":"Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology of the People\u2019s Republic of China, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yining","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"},{"name":"Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology of the People\u2019s Republic of China, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qixiang","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuoyi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3966-3111","authenticated-orcid":false,"given":"Songnian","family":"Hu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100045, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"},{"name":"Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology of the People\u2019s Republic of China, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zilong","family":"He","sequence":"additional","affiliation":[{"name":"School of Engineering Medicine, Beihang University, Rd37, Xueyuan, Haidian, Beijing 100191, China"},{"name":"Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology of the People\u2019s Republic of China, Beijing 100191, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1111\/nph.13288","article-title":"Mycorrhizal ecology and evolution: The past, the present, and the future","volume":"205","author":"Martin","year":"2015","journal-title":"New Phytol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1038\/s41579-020-0402-3","article-title":"Unique and common traits in mycorrhizal symbioses","volume":"18","author":"Genre","year":"2020","journal-title":"Nat. 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