{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T18:28:25Z","timestamp":1786645705121,"version":"build-2736575974"},"reference-count":67,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T00:00:00Z","timestamp":1786579200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017959","name":"Health Commission of Hebei Province","doi-asserted-by":"publisher","award":["ZF2024069"],"award-info":[{"award-number":["ZF2024069"]}],"id":[{"id":"10.13039\/100017959","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>The gut microbiome-metabolome interplay in hemodialysis (HD) patients remains poorly characterized. Using multi-omics approaches, we compared HD patients with healthy controls (HC) to identify microbial signatures, metabolic perturbations, and their integrated correlations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This case-control study included 192 participants (96 HD-HC pairs under identical dietary and living conditions). The gut microbiota composition was analyzed using 16S ribosomal RNA gene sequencing, and fecal metabolomes were analyzed using ultra-high-performance liquid chromatography and high-resolution mass spectrometry (UPLC-HRMS). A multi-omics analysis was conducted utilizing Spearman correlation analysis, Mantel test analysis, and differential functional pathway analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We observed significant differences in gut microbiota composition between the HD and HC groups, such as\n                      <jats:italic>Ruminococcus<\/jats:italic>\n                      and\n                      <jats:italic>Bifidobacterium<\/jats:italic>\n                      . Comparative analysis revealed 497 significantly altered metabolites in the HD group versus HC, primarily associated with amino acid, vitamin, lipid, purine, and pyrimidine metabolisms. ROC analysis identified 4-pyridoxic acid, nudifloramide, imidazoleacetic acid, ascorbic acid, and tocopheronic acid as potential diagnostic biomarkers (AUC\u2009&gt;\u20090.8,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01). Integrated multi-omics analysis revealed correlations between\n                      <jats:italic>Ruminococcus<\/jats:italic>\n                      and metabolites such as Docosapentoic acid (DPA), 13\u2009\u2212\u2009EPAHAAB (EPA), and tryptamine, with shared differential pathways in bile secretion, caffeine metabolism, gastric acid secretion, and vitamin B6 metabolism.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Hemodialysis patients exhibited significant alterations in gut microbiota composition and metabolic profiles (amino acid, vitamin, and lipid metabolism) compared with healthy controls, with demonstrated microbiome-metabolome interactions and shared functional pathways. The potential diagnostic and therapeutic value of these differential features warrants further exploration and external validation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0355698","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T17:32:11Z","timestamp":1786642331000},"page":"e0355698","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrated multi-omics reveals dysbiosis in hemodialysis patients: A multi-center study"],"prefix":"10.1371","volume":"21","author":[{"given":"Xinyue","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yupeng","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqing","family":"Chi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenyu","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liping","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7781-9091","authenticated-orcid":true,"given":"Hailing","family":"Di","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"issue":"16","key":"pone.0355698.ref001","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1001\/jama.2009.1488","article-title":"Cardiovascular and noncardiovascular mortality among patients starting dialysis","volume":"302","author":"DJ de Jager","year":"2009","journal-title":"JAMA"},{"issue":"3","key":"pone.0355698.ref002","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1053\/j.ajkd.2020.10.005","article-title":"A global accounting of kidney replacement therapy","volume":"77","author":"MK Shah","year":"2021","journal-title":"Am J Kidney Dis"},{"key":"pone.0355698.ref003","article-title":"Kidney failure etiology and modality worldwide: Apollo Dial DB: FR-PO393","volume":"35","author":"Y Jiao","year":"2024","journal-title":"J Am Soc Nephrol"},{"key":"pone.0355698.ref004","unstructured":"Chen XM. 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